Departamentul de Calculatoare şi Inginerie Electrică
Facultatea de Inginerie
Universitatea "Lucian Blaga" din Sibiu
ro
 
   
     
 
Prof. dr. ing. Arpad Gellert
 
e-mail: arpad.gellert@ulbsibiu.roweb: http://webspace.ulbsibiu.ro/arpad.gellert/htmloffice: IE107

1 - Studii

  • 1984-1992: Şcoala Generală Nr. 15, Sibiu;
  • 1992-1996: Liceul Teoretic "Octavian Goga" din Sibiu, secţia matematică-fizică;
  • 1997-2002: Studii universitare de licență, Universitatea "Lucian Blaga" din Sibiu, Facultatea de Inginerie, profilul Ştiinţa sistemelor şi a calculatoarelor, specializarea Calculatoare, proiect de diplomă: Îmbunătăţiri ale arhitecturilor superscalare prin implementarea unor tehnici de predicţie dinamică a valorilor, îndrumător prof. dr. ing. Lucian VINŢAN;
  • 2002-2003: Studii aprofundate (master), Universitatea "Lucian Blaga" din Sibiu, Facultatea de Inginerie, specializarea Sisteme de procesare paralele şi distribuite, lucrare de disertaţie: Contribuţii la procesarea speculativă a instrucţiunilor prin predicţia dinamică a valorilor, îndrumător prof. dr. ing. Lucian VINŢAN;
  • 2004-2008: Doctorat în Ştiinţa Calculatoarelor cu distincţia CUM LAUDE, Universitatea "Lucian Blaga" din Sibiu, Titlul tezei: Advanced Prediction Methods Integrated Into Speculative Computer Architectures, Conducători ştiinţifici: prof. dr. ing. Lucian Vinţan (Universitatea "Lucian Blaga" din Sibiu) şi prof. dr. Theo Ungerer (Universitatea din Augsburg, Germania), Referenţi: prof. dr. ing. Vladimir CREŢU (Universitatea "Politehnica" Timişoara), prof. dr. ing. Sergiu NEDEVSCHI (Universitatea Tehnică din Cluj-Napoca), prof. dr. ing. Nicolae ŢĂPUŞ (Universitatea Politehnica din Bucureşti);
  • 2023: Abilitare în domeniul Calculatoare și Tehnologia Informației, Universitatea "Lucian Blaga" din Sibiu, Titlul tezei: Prediction-Based Modeling and Estimation in Advanced Computing Systems, Referenți: prof. dr. ing. Sergiu NEDEVSCHI (Universitatea Tehnică din Cluj-Napoca), prof. dr. ing. Florin POP (Universitatea Politehnica din Bucureşti), prof. dr. ing. Bălă-Constantin ZAMFIRESCU (Universitatea "Lucian Blaga" din Sibiu).
2 - Limbi cunoscute

  • Maghiară (C2, limba maternă, Diplomă de Bacalaureat);
  • Română (C2, Diplomă de Bacalaureat);
  • Engleză (C1, Diplomă de Bacalaureat, Certificat de Competență Lingvistică ULBS);
  • Franceză (B2, Certificat de Competență Lingvistică ULBS).
3 - Domenii de interes

  • Arhitecturi de calcul (predicţia ramificaţiilor, predicţia valorilor, reutilizarea dinamică a instrucţiunilor, evaluarea performanței de procesare, evaluarea consumului de putere, evaluare termică, metode de explorare automată a spaţiului de proiectare);
  • Clădiri inteligente (predicţia locaţiei următoare, predicţia mişcărilor persoanelor, predicția consumului și a producției de energie electrică, sisteme inteligente de gestiune a energiei electrice);
  • Fabrici inteligente (sisteme de asamblare inteligente, stații de antrenare adaptive, roboți mobili autonomi, detecție de anomalii);
  • Web mining (preîncărcarea paginilor web, predicţia paginilor web);
  • Procesarea imaginilor (filtrarea zgomotului, recunoaştere de tipare, restaurarea imaginilor, detecția ceții);
  • Inteligenţă artificială (reţele neuronale, lanţuri Markov, modele Markov cu legături ascunse, algoritmi genetici);
  • Algoritmi (analiză, proiectare, implementare – Java, C#, C++, limbaj de asamblare –, optimizare).
4 - Experienţa profesională

  • 2001-2002: programator Java, Multimedia Capital Romania, Sibiu;
  • 2002-2003: cadru didactic asociat, Universitatea "Lucian Blaga" din Sibiu, Facultatea de Inginerie, Catedra de Calculatoare şi Automatizări;
  • 2003-2006: preparator universitar, Universitatea "Lucian Blaga" din Sibiu, Facultatea de Inginerie, Catedra de Calculatoare şi Automatizări;
  • 2006-2013: asistent universitar, Universitatea "Lucian Blaga" din Sibiu, Facultatea de Inginerie, Catedra de Calculatoare şi Automatizări;
  • 2013-2015: şef lucrări, Universitatea "Lucian Blaga" din Sibiu, Facultatea de Inginerie, Departamentul de Calculatoare şi Inginerie Electrică;
  • 2015-2024: conferențiar universitar, Universitatea "Lucian Blaga" din Sibiu, Facultatea de Inginerie, Departamentul de Calculatoare şi Inginerie Electrică;
  • 2021-prezent: coordonatorul programului de master cu predare în lb. engleză Embedded Systems, Universitatea "Lucian Blaga" din Sibiu, Facultatea de Inginerie, Departamentul de Calculatoare şi Inginerie Electrică;
  • 2023-prezent: conducător de doctorat, domeniul Calculatoare și Tehnologia Informației, Școala Doctorală de Științe Inginerești și Matematică, Institutul de Organizare a Studiilor Doctorale și Postdoctorale a Universității "Lucian Blaga" din Sibiu;
  • 2024-prezent: profesor universitar, Universitatea "Lucian Blaga" din Sibiu, Facultatea de Inginerie, Departamentul de Calculatoare şi Inginerie Electrică, disciplinele: Analiza algoritmilor, Proiectarea algoritmilor, Algoritmi paraleli şi distribuiţi, Sisteme de operare, Prelucrarea imaginilor, Prelucrare grafică, Modelarea aplicaţiilor software, Research methods in advanced computing architectures, Embedded computing, Algorithm complexity, Advances in computer vision.
5 - Activitate ştiinţifică

  • Membru din 2004 al Centrului de Cercetare pentru Arhitecturi Avansate de Procesare a Informaţiei (CCAAPI), Universitatea "Lucian Blaga" din Sibiu, director: prof. dr. ing. Remus Brad;
  • Membru afiliat al reţelei europene de excelenţă în arhitecturi de calcul HiPEAC (European Network of Excellence on High Performance and Embedded Architecture and Compilation) din 2012;
  • Membru al Societăţii Române de Automatică şi Informatică Tehnică (SRAIT) din 2005;
  • 7 cărţi (din care 2 în limba engleză) şi peste 70 de articole publicate în reviste şi conferinţe de prestigiu internaţional (număr Erdős 4), citate în peste 600 de lucrări ştiinţifice (indice Hirsch 17);
  • 18 proiecte de cercetare (director în 9 și membru în 9);
  • 2 proiecte de dezvoltare POSDRU (membru);
  • Recenzor ştiinţific la conferinţe internaţionale și al unor reviste de top precum Microprocessors and Microsystems, IET Image Processing, Wireless Communications and Mobile Computing, IEEE Access, Intelligent Automation and Soft Computing, International Energy Journal, Information, Studies in Informatics and Control, Sustainable Cities and Society, Energy Efficiency, Expert Systems with Applications, International Journal of Human-Computer Interaction, Knowledge and Information Systems, IEEE Transactions on Intelligent Transportation Systems, Engineering Applications of Artificial Intelligence etc.;
  • Membru în comitetul editorial al revistelor: Journal of Digital Information Management, Journal of e-Technology, International Journal of Advanced Statistics and IT&C for Economics and Life Sciences, Acta Technica Corviniensis;
  • Membru în comitetul ştiinţific al revistei: Acta Universitatis Cibiniensis – Technical Series;
  • Membru în comitetul de organizare al conferinţei internaţionale Medinf 2007 precum şi al workshop-ului internaţional HiPEAC Sibiu din 2 aprilie 2013;
  • Membru din 2015 în comisii de îndrumare doctorat (conducător prof. dr. ing. Lucian Vințan: dr. Radu Chiș, dr. Ion Mironescu, drd. Simona Turoiu; conducător prof. dr. ing. Remus Brad: dr. Alexandru Dorobanţiu, drd. Iulia Corcoveanu, dr. Camil Băncioiu, dr. Claudiu-Raul Buduleci, dr. Adrian Barglazan, drd. Teodora Vasilaș, dr. Ștefan Repede, drd. Constantin Constantinescu, drd. Liviu-Mihai Popescu; conducător prof. dr. ing. Bălă-Constantin Zamfirescu: dr. Andrei Iulian Tara, dr. Alexandru Matei, drd. Ștefan Precup);
  • Conducător de doctorat din 2023 în domeniul Calculatoare și Tehnologia Informației (doctoranzi: drd. Radu Șoroștinean, drd. Ștefania Berghia, drd. Lorena-Maria Olaru, drd. Darius Petelează);
  • Membru din 2024 în comisii de doctorat: dr. Claudiu-Raul Buduleci (ULBS 2024), dr. Andrei Iulian Tara (ULBS 2024).
6 - Mobilități

  • Participant în iulie 2005 la școala de vară ACACES 2005 printr-un grant HiPEAC, L´Aquila, Italia;
  • Stagiu de cercetare de 5 săptămâni (martie-apr. 2006) prin proiectul HPC-EUROPA la Universitat Politècnica de Catalunya, Barcelona, Spania;
  • Participant în iulie 2006 la școala de vară ACACES 2006 printr-un grant HiPEAC, L´Aquila, Italia;
  • Stagiu de cercetare de 4 săptămâni (iunie-iulie 2009) în cadrul proiectului FP7 MULTICUBE la Politecnico di Milano, Italia;
  • Mobilitate Erasmus+ de tip STA de 5 zile în aprilie 2018 la Universitatea din Szeged, Ungaria;
  • Mobilitate Erasmus+ de tip STA de 5 zile în mai 2019 la Universitatea din Szeged, Ungaria;
  • Mobilitate ESAYEP de tip STT de 7 zile în august 2019 la Universitatea din Norvegia de Sud-Est, Campus Vestfold, Norvegia;
  • Mobilitate Erasmus+ de tip STA de 5 zile în septembrie 2021 la Universitatea din Szeged, Ungaria;
  • Mobilitate CEEPUS de 5 zile în martie 2022 la Universitatea din Szeged, Ungaria;
  • Mobilitate Erasmus+ de tip STA de 7 zile în septembrie 2022 la Universitatea din Szeged, Ungaria;
  • Mobilitate CEEPUS de 5 zile în noiembrie 2022 la Universitatea Tehnică din Bratislava, Trnava, Slovacia;
  • Mobilitate CEEPUS de 5 zile în martie 2023 la Universitatea din Szeged, Ungaria;
  • Mobilitate Erasmus+ de tip STA de 7 zile în septembrie 2023 la Universitatea din Szeged, Ungaria;
  • Mobilitate ESAYEP de tip STA de 5 zile în februarie 2024 la Universitatea din Norvegia de Sud-Est, Campus Vestfold, Norvegia;
  • Mobilitate CEEPUS de 5 zile în martie 2024 la Universitatea din Szeged, Ungaria;
  • Mobilitate Erasmus+ de tip STT de 5 zile în apr.-mai 2024 la Universitatea de La Laguna, Tenerife, Spania;
  • Mobilitate Erasmus+ de tip STT de 5 zile în februarie 2025 la Universitatea Las Palmas de Gran Canaria, Spania;
  • Profesor invitat, 5 zile în mai 2025, International School on IoT, Università degli Studi di Salerno, Italia;
  • Mobilitate CEEPUS de 5 zile în septembrie 2025 la Universitatea Óbuda, Budapesta, Ungaria.
7 - Recunoaștere, distincţii şi premii

  • Premiul "AD AUGUSTA PER ANGUSTA" acordat în 2010 de Universitatea "Lucian Blaga" din Sibiu pentru activitatea în domeniul cercetării ştiinţifice;
  • Diplomă de Merit acordată în 2010 de Facultatea de Inginerie "Hermann Oberth" pentru rezultate deosebite obţinute în activitatea de cercetare ştiinţifică în cadrul facultăţii;
  • Diplomă de Excelenţă acordată în 2012 de Universitatea "Lucian Blaga" din Sibiu, Facultatea de Inginerie, pentru activitatea ştiinţifică desfăşurată;
  • Diplomă de Excelenţă acordată în 2014 de Universitatea "Lucian Blaga" din Sibiu, Facultatea de Inginerie, pentru implicarea deosebită în viaţa Facultăţii de Inginerie;
  • Diplomă de Excelenţă acordată în 2014 de Universitatea "Lucian Blaga" din Sibiu, Facultatea de Inginerie, pentru activitatea ştiinţifică meritorie desfăşurată;
  • Membru ales al Consiliului Parohial Reformat din Sibiu, din ianuarie 2015;
  • Membru ales al Consiliului Facultății de Inginerie, Universitatea "Lucian Blaga" din Sibiu, din decembrie 2015;
  • Diplomă de Excelenţă acordată în 2016 de Universitatea "Lucian Blaga" din Sibiu, Facultatea de Inginerie, pentru publicarea articolului "Web prefetching through efficient prediction by partial matching" în World Wide Web - Internet and Web Information Systems, Vol. 19, Issue 5, Sept. 2016;
  • Diplomă de Excelență acordată în 2018 de Universitatea "Lucian Blaga" din Sibiu, Facultatea de Inginerie, pentru o lucrare științifică publicată în zona roșie (Q1) și două lucrări științifice publicate în zona galbenă (Q2) – Clarivate Analytics Web of Science;
  • Best Paper Award la conferința internațională ICSTCC 2023 pentru articolul științific intitulat "Selective High-Latency Arithmetic Instruction Reuse in Multicore Processors" (autori: Claudiu-Raul Buduleci, Arpad Gellert, Adrian Florea).
8 - Publicaţii

  1. Darius Peteleaza, Alexandru Matei, Radu Sorostinean, Arpad Gellert, Bala-Constantin Zamfirescu, Ugo Fiore, Francesco Palmieri, Water level forecasting for hydroelectric power plants using deep learning, Renewable Energy, Vol. 256, Part I, ISSN 0960-1481 (Scopus), p. 124692, January 2026.
  2. Stefan-Alexandru Precup, Bogdan-Constantin Pirvu, Arpad Gellert, Constantin-Bala Zamfirescu, Cognitive Control Units in Smart Manufacturing: Insights From a Soar-Based Assistance System, IEEE Access, Vol. 13, ISSN 2169-3536 (DBLP, Scopus), DOI 10.1109/ACCESS.2025.3633609, pp. 196167-196180, November 2025.
  3. Angel Marcos Trujillo Trujillo, Darius Peteleaza, Jose Manuel Gonzalez Cava, Lorena-Maria Olaru, Arpad Gellert, Juan Albino Mendez Perez, Energy Generation Forecasting Techniques for Energy Communities, 14th International Conference on Renewable Energy Research and Applications (ICRERA 2025), Vienna, Austria, October 2025.
  4. Radu Sorostinean, Catalina Neghina, Arpad Gellert, Augmenting Unsupervised Anomaly Detection in PET Bottle Manufacturing Data, 21st International Conference on Intelligent Computer Communication and Processing (ICCP 2025), Cluj-Napoca, October 2025.
  5. Stefan-Alexandru Precup, Arpad Gellert, Alexandru Matei, Bogdan-Constantin Pirvu, Constantin-Bala Zamfirescu, Accurate Time-to-Target Forecasting for Autonomous Mobile Robots, IEEE Access, Vol. 13, ISSN 2169-3536 (DBLP, Scopus), DOI 10.1109/ACCESS.2025.3588300, pp. 125645-125658, July 2025.
  6. Darius Peteleaza, Alexandru Matei, Radu Sorostinean, Arpad Gellert, Ugo Fiore, Bala-Constantin Zamfirescu, Francesco Palmieri, Electricity consumption forecasting for sustainable smart cities using machine learning methods, Internet of Things, Vol. 27, ISSN 2543-1536 (ISI IF=6.0, Scopus, DBLP), DOI 10.1016/j.iot.2024.101322, p. 101322, October 2024.
  7. Claudiu Buduleci, Arpad Gellert, Adrian Florea, Remus Brad, Improving Multicore Architectures by Selective Value Prediction of High-Latency Arithmetic Instructions, Advances in Electrical and Computer Engineering, Vol. 24, No. 2, ISSN 1582-7445 (ISI IF=0.7, Scopus), DOI 10.4316/AECE.2024.02007, pp. 61-72, May 2024.
  8. Radu Sorostinean, Zaharia Burghelea, Arpad Gellert, Anomaly Detection in Smart Industrial Machinery Through Hidden Markov Models and Autoencoders, IEEE Access, Vol. 12, ISSN 2169-3536 (ISI IF=3.9, Scopus, DBLP), DOI 10.1109/ACCESS.2024.3400970, pp. 69217-69228, May 2024.
  9. Claudiu Buduleci, Arpad Gellert, Adrian Florea, Remus Brad, Architectural and Technological Approaches for Efficient Energy Management in Multicore Processors, Computers, Vol. 13, Issue 4, ISSN 2073-431X (ISI IF=2.8, Scopus, DBLP), DOI 10.3390/computers13040084, p. 84, March 2024.
  10. Arpad Gellert, Lorena-Maria Olaru, Adrian Florea, Ileana-Ioana Cofaru, Ugo Fiore, Francesco Palmieri, Estimating electricity consumption at city-level through advanced machine learning methods, Connection Science, Vol. 36, No. 1, ISSN 0954-0091 (ISI IF=5.3, Scopus, DBLP), DOI 10.1080/09540091.2024.2313852, p. 2313852, January 2024.
  11. Teodor-Adrian Radescu, Arpad Gellert, Fog Detection through Image Processing Methods, International Journal of Advanced Statistics and IT&C for Economics and Life Sciences, Vol. 13, Issue 1, ISSN 2559-365X (indexed PKP, ROAD, SCIENDO, EBSCO), DOI 10.2478/ijasitels-2023-0004, pp. 28-37, December 2023.
  12. Claudiu-Raul Buduleci, Arpad Gellert, Adrian Florea, Selective High-Latency Arithmetic Instruction Reuse in Multicore Processors, The 27th International Conference on System Theory, Control and Computing (ICSTCC), ISBN 979-8-3503-3798-3 (indexed DBLP, Scopus), Timisoara, October 2023.
  13. Stefan-Alexandru Precup, Snehal Walunj, Arpad Gellert, Christiane Plociennik, Jibinraj Antony, Constantin-Bala Zamfirescu, Martin Ruskowski, Recognising Worker Intentions by Assembly Step Prediction, 28th International Conference on Emerging Technologies and Factory Automation (ETFA 2023), ISBN 979-8-3503-3990-1 (indexed Scopus, DBLP), Sinaia, September 2023.
  14. Stefan-Alexandru Precup, Alexandru Matei, Snehal Walunj, Arpad Gellert, Christiane Plociennik, Constantin-Bala Zamfirescu, Collaborative exploitation of various AI methods in adaptive assembly assistance systems, Procedia Computer Science, Elsevier, Vol. 221, ISSN 1877-0509 (indexed Scopus), pp. 1170-1177, August 2023.
  15. Alexandru Matei, Stefan-Alexandru Precup, Dragos Circa, Arpad Gellert, Constantin-Bala Zamfirescu, Estimating Travel Time for Autonomous Mobile Robots through Long Short-Term Memory, Mathematics, Vol. 11, Issue 7, ISSN 2227-7390 (ISI IF=2.592, Scopus), DOI 10.3390/math11071723, p. 1723, April 2023.
  16. Árpád Gellért, Prediction-Based Modeling and Estimation in Advanced Computing Systems, Habilitation Thesis, "Lucian Blaga" University of Sibiu, March 2023.
  17. Lorena M. Olaru, Arpad Gellert, Ugo Fiore, Francesco Palmieri, Electricity Production and Consumption Modeling through Fuzzy Logic, International Journal of Intelligent Systems, Vol. 37, Issue 11, ISSN 0884-8173 (ISI IF=8.993, DBLP, Scopus), DOI 10.1002/int.22942, pp. 8348-8364, November 2022.
  18. Arpad Gellert, Stefan-Alexandru Precup, Alexandru Matei, Bogdan-Constantin Pirvu, Constantin-Bala Zamfirescu, Real-Time Assembly Support System with Hidden Markov Model and Hybrid Extensions, Mathematics, Vol. 10, Issue 15, ISSN 2227-7390 (ISI IF=2.592, Scopus), DOI 10.3390/math10152725, p. 2725, August 2022.
  19. Arpad Gellert, Darius Sarbu, Stefan-Alexandru Precup, Alexandru Matei, Dragos Circa, Constantin-Bala Zamfirescu, Estimation of Missing LiDAR Data for Accurate AGV Localization, IEEE Access, Vol. 10, ISSN 2169-3536 (ISI IF=3.367, DBLP, Scopus), DOI 10.1109/ACCESS.2022.3185763, pp. 68416-68428, June 2022.
  20. Claudiu Buduleci, Arpad Gellert, Adrian Florea, Alexandru Matei, Extending Sniper with Support to Access Operand Values: A Case Study on Reusability Measurement, 23rd International Carpathian Control Conference, ISBN 978-1-6654-6636-3 (indexed ISI, Scopus), pp. 70-75, Sinaia, May 2022.
  21. Stefan-Alexandru Precup, Arpad Gellert, Alexandru Matei, Maria Gita, Constantin-Bala Zamfirescu, Towards an Assembly Support System with Dynamic Bayesian Network, Applied Sciences, Vol. 12, Issue 3, ISSN 2076-3417 (ISI IF=2.474, Scopus), DOI 10.3390/app12030985, p. 985, Switzerland, February 2022.
  22. Arpad Gellert, Radu Sorostinean, Bogdan-Constantin Pirvu, Robust Assembly Assistance Using Informed Tree Search with Markov Chains, Sensors, Vol. 22, Issue 2, ISSN 1424-8220 (ISI IF=3.275, Scopus, DBLP), DOI 10.3390/s22020495, p. 495, January 2022.
  23. Arpad Gellert, Ugo Fiore, Adrian Florea, Radu Chis, Francesco Palmieri, Forecasting Electricity Consumption and Production in Smart Homes through Statistical Methods, Sustainable Cities and Society, Vol. 76, ISSN 2210-6707 (ISI IF=7.587, Scopus), DOI 10.1016/j.scs.2021.103426, p. 103426, January 2022.
  24. Constantin-Bălă Zamfirescu (coordonator), Alexandru Matei (editor), Vasile-Alexandru Butean, Dragoș Circa, Alin Marius Cruceat, Arpad Gellert, Teodor Ghețiu, Valentin Cătălin Govoreanu, Mihai Neghină, Răzvan Gabriel Pămărac, Radu Emanuil Petruse, Bogdan-Constantin Pîrvu, Livia Dana Pogan, Radu Ioan Popa, Ștefan Alexandru Precup, Samuel Pușcașu, Sergiu Gabriel Stanciu, Radu Traian Șoroștinean, Nicolae-Adrian Țocu, Radu-Alexandru Voju, Ingineria sistemelor socio-fizico-cibernetice în sisteme de producție, Editura Universității „Lucian Blaga” din Sibiu, ISBN 978-606-12-1848-6, 2021.
  25. Constantin-Bălă Zamfirescu (coordonator), Vasile-Alexandru Butean, Dragoș Circa, Alin Marius Cruceat, Arpad Gellert, Teodor Ghețiu, Valentin Cătălin Govoreanu, Alexandru Matei, Mihai Neghină, Bogdan-Constantin Pîrvu, Ștefan Alexandru Precup, Samuel Pușcașu, Nicolae-Adrian Țocu, Radu-Alexandru Voju, Studii de analiză a arhitecturilor, metodelor și tehnicilor de implementare a celei de-a patra revoluții tehnologice, Editura Universității „Lucian Blaga” din Sibiu, ISBN 978-606-12-1847-9, 2021.
  26. Arpad Gellert, Remus Brad, Daniel Morariu, Mihai Neghina, Filtering Random Valued Impulse Noise from Grayscale Images through Support Vector Machine and Markov Chain, International Journal of Advanced Statistics and IT&C for Economics and Life Sciences, Vol. 11, Issue 1, ISSN 2559-365X (indexed PKP, ROAD, SCIENDO, EBSCO), DOI 10.2478/ijasitels-2021-0004, pp. 70-84, December 2021.
  27. Alexandru Matei, Nicolae-Adrian Tocu, Constantin-Bala Zamfirescu, Arpad Gellert, Mihai Neghina, Engineering a Digital Twin for Manual Assembling, 10th International Symposium on Leveraging Applications of Formal Methods (ISoLA 2020), published in Leveraging Applications of Formal Methods, Verification and Validation: Tools and Trends, Lecture Notes in Computer Science, Vol. 12479, ISBN 978-3-030-83722-8 (indexed ISI, DBLP, Scopus), pp. 140-152, Springer, Cham, 2021.
  28. Arpad Gellert, Web Usage Mining by Neural Hybrid Prediction with Markov Chain Components, Journal of Web Engineering, River Publishers, Vol. 20, Issue 5, ISSN 1540-9589 (ISI IF=0.617, DBLP), pp. 1279-1296, Denmark, July 2021.
  29. Radu Sorostinean, Arpad Gellert, Bogdan-Constantin Pirvu, Assembly Assistance System with Decision Trees and Ensemble Learning, Sensors, Vol. 21, Issue 11, ISSN 1424-8220 (ISI IF=3.275, Scopus, DBLP), DOI 10.3390/s21113580, p. 3580, May 2021.
  30. Stefan-Alexandru Precup, Arpad Gellert, Alexandru Dorobantiu, Constantin-Bala Zamfirescu, Assembly Process Modeling Through Long Short-Term Memory, 13th Asian Conference on Intelligent Information and Database Systems, ISSN 1865-0929 (indexed DBLP, Scopus), pp. 28-39, Phuket, Thailand, April 2021.
  31. Arpad Gellert, Stefan-Alexandru Precup, Bogdan-Constantin Pirvu, Ugo Fiore, Constantin-Bala Zamfirescu, Francesco Palmieri, An Empirical Evaluation of Prediction by Partial Matching in Assembly Assistance Systems, Applied Sciences, Vol. 11, Issue 7, ISSN 2076-3417 (ISI IF=2.474, Scopus), DOI 10.3390/app11073278, p. 3278, Switzerland, April 2021.
  32. Miroslav-Andrei Bachici, Arpad Gellert, Modeling Electricity Consumption and Production in Smart Homes using LSTM Networks, International Journal of Advanced Statistics and IT&C for Economics and Life Sciences, Vol. X, No. 1, ISSN 2559-365X (indexed PKP, ROAD, SCIENDO), DOI 10.2478/ijasitels-2020-0009, pp. 80-90, December 2020.
  33. Arpad Gellert, Remus Brad, Image Inpainting with Markov Chains, Signal, Image and Video Processing, Vol. 14, Issue 7, ISSN 1863-1703 (ISI IF=1.794, Scopus, DBLP), DOI 10.1007/s11760-020-01675-7, pp. 1335-1343, October 2020.
  34. Arpad Gellert, Stefan-Alexandru Precup, Bogdan-Constantin Pirvu, Constantin-Bala Zamfirescu, Prediction-Based Assembly Assistance System, 25th International Conference on Emerging Technologies and Factory Automation (ETFA 2020), ISBN 978-1-7281-8957-4 (indexed ISI, DBLP, Scopus), DOI 10.1109/ETFA46521.2020.9212170, pp. 1065-1068, Vienna, Austria, September 2020.
  35. Arpad Gellert, Constantin-Bala Zamfirescu, Assembly support systems with Markov predictors, Journal of Decision Systems, Vol. 29, No. S1, ISSN 1246-0125 (indexed ISI, Scopus, DBLP), DOI: 10.1080/12460125.2020.1788798, pp. 63-70, July 2020.
  36. Claudiu Buduleci, Árpád Gellért, Adrian Florea, Radu Chiș, Remus Brad, Multi-Objective Optimization of Speculative and Anticipative Multi-Core Architectures, Advanced Computer Architecture and Compilation for High-performance Embedded Systems (ACACES 2020), ISBN 978-9-0784-2700-1, pp. 11-14, Fiuggi, Italy, July 2020.
  37. Nicolae-Adrian Tocu, Arpad Gellert, Ioana-Ramona Stefan, Teodor-Marian Nitescu, Gabriela-Alexandra Luca, The impact of virtual reality simulators in manufacturing industry, 12th Annual International Conference on Education and New Learning Technologies, ISBN 978-84-09-17979-4 (indexed IATED Digital Library), pp. 3084-3093, Palma de Mallorca, Spain, July 2020.
  38. Arpad Gellert, Constantin-Bala Zamfirescu, Using Two-Level Context-Based Predictors for Assembly Assistance in Smart Factories, Intelligent Methods in Computing, Communications and Control: 8th International Conference on Computers Communications and Control, Book series: Advances in Intelligent Systems and Computing, Springer, ISSN: 2194-5357 (indexed ISI, Scopus), DOI 10.1007/978-3-030-53651-0_14, pp. 167-176, May 2020.
  39. Árpád Gellért, Analiza şi proiectarea algoritmilor: o abordare pragmatică prin aplicaţii Java, Ediția a 2-a, Editura Techno Media, ISBN 978-606-616-360-6, 2019.
  40. Arpad Gellert, Adrian Florea, Ugo Fiore, Francesco Palmieri, Paolo Zanetti, A study on forecasting electricity production and consumption in smart cities and factories, International Journal of Information Management, Elsevier, DOI 10.1016/j.ijinfomgt.2019.01.006, ISSN 0268-4012 (ISI IF=5.063, Scopus, DBLP), Vol. 49, pp. 546-556, December 2019.
  41. Arpad Gellert, Maria Vintan, Lucian Vintan, Perceptron-Based Selective Load Value Prediction in a Multicore Architecture, Romanian Journal of Information Science and Technology, Vol. 22, No. 3-4, ISSN 1453-8245 (ISI IF=0.259, Scopus), pp. 215-227, November 2019.
  42. Gellért Árpád, Modern számítógépek: múlt, jelen és jövő, Nagyszeben és vidéke, XXI. évfolyam, 84. szám, 2019/1.
  43. Arpad Gellert, Adrian Florea, Ugo Fiore, Paolo Zanetti, Lucian Vintan, Performance and Energy Optimisation in CPUs through Fuzzy Knowledge Representation, Information Sciences, Elsevier, Vol. 476, ISSN 0020-0255 (ISI IF=5.910, Scopus, DBLP, EBSCO), DOI 10.1016/j.ins.2018.03.029, pp. 375-391, February 2019.
  44. Arpad Gellert, Lucian Vintan, A Multicore Architecture with Selective Load Value Prediction, Proceedings of the Romanian Academy, Series A, Vol. 19, No. 4, ISSN 1454-9069 (ISI IF=1.752, Scopus), pp. 597-604, November 2018.
  45. Ugo Fiore, Adrian Florea, Arpad Gellert, Lucian Vintan, Paolo Zanetti, Optimal Partitioning of LLC in CAT-enabled CPUs to Prevent Side-Channel Attacks, Cyberspace Safety and Security (CSS 2018), Lecture Notes in Computer Science, Vol. 11161, Springer, ISBN 978-3-030-01688-3 (indexed DBLP, Scopus), DOI 10.1007/978-3-030-01689-0_9, pp. 115-123, October 2018.
  46. Arpad Gellert, Remus Brad, Studying the influence of search rule and context shape in filtering impulse noise images with Markov chains, Signal, Image and Video Processing, Springer London, Vol. 12, Issue 2, ISSN 1863-1703 (ISI IF=1.102, Scopus, DBLP), DOI 10.1007/s11760-017-1160-1, pp. 315-322, February 2018.
  47. Adrian Florea, Arpad Gellert, Developing Heuristics for the Graph Coloring Problem Applied to Register Allocation in Embedded Systems, Journal of Multimedia Processing and Technologies, ISSN 0976-4127 (indexed DBLP), Vol. 8, No. 3, pp. 74-87, September 2017.
  48. Arpad Gellert, Web Access Mining through Dynamic Decision Trees with Markovian Features, Journal of Web Engineering, Rinton Press, Vol. 16, Issue 5-6, ISSN 1540-9589 (ISI IF=0.622, Scopus, DBLP), pp. 524-536, USA, September 2017.
  49. Adrian Florea, Arpad Gellert, E-learning Approach of the Graph Coloring Problem Applied to Register Allocation in Embedded Systems, The 6th International Conference on Innovative Computing Technology (INTECH 2016), ISBN 978-1-5090-2000-3 (indexed ISI, IEEE Xplore, Scopus), DOI 10.1109/INTECH.2016.7845027, pp. 88-93, Dublin, Ireland, August 2016.
  50. Arpad Gellert, Adrian Florea, Web Prefetching through Efficient Prediction by Partial Matching, World Wide Web Journal, Vol. 19, Issue 5, ISSN 1386-145X (ISI IF=1.405, DBLP, Scopus, EBSCO, ACM Digital Library), DOI 10.1007/s11280-015-0367-8, pp. 921-932, USA, September 2016.
  51. Arpad Gellert, Remus Brad, Context-Based Prediction Filtering of Impulse Noise Images, IET Image Processing, Vol. 10, Issue 6, ISSN 1751-9659 (ISI IF=1.044, DBLP, Scopus, EBSCO, IEEE Xplore), DOI 10.1049/iet-ipr.2015.0702, pp. 429-437, Stevenage, United Kingdom, June 2016.
  52. Adrian Florea, Arpad Gellert, Delilah Florea, Adrian-Cristian Florea, Teaching Programming by Developing Games in Alice, The 12th International Scientific Conference "eLearning and Software for Education" (eLSE 2016), ISSN 2066-026X (indexed ISI), Vol. 1, DOI 10.12753/2066-026X-16-073, pp. 503-510, Bucharest, April 2016.
  53. Adrian Florea, Elimelec Burghelea, Arpad Gellert, Delilah Florea, MiniGL: Game and Learning, The 11th International Scientific Conference "eLearning and Software for Education" (eLSE 2015), ISSN 2066-026X (indexed ISI), Vol. 1, Bucharest, April 2015.
  54. Arpad Gellert, Adrian Florea, Web Page Prediction Enhanced with Confidence Mechanism, Journal of Web Engineering, Rinton Press, Vol. 13, Issue 5-6, ISSN 1540-9589 (ISI IF=0.361, Scopus, DBLP), pp. 507-524, USA, November 2014.
  55. Adrian Florea, Claudiu Buduleci, Radu Chis, Arpad Gellert, Lucian Vintan, Enhancing the Sniper Simulator with Thermal Measurement, The 18th International Conference on System Theory, Control and Computing, ISBN 978-1-4799-4602-0 (indexed ISI, Scopus, IEEE Xplore), Sinaia, October 2014.
  56. Adrian Florea, Arpad Gellert, Different Approaches for Solving Optimization Problems using Interactive e-Learning Tools, The 10th International Scientific Conference "eLearning and Software for Education" (eLSE 2014), ISSN 2066-026X (indexed ISI), Vol. 2, Bucharest, April 2014.
  57. Arpad Gellert, Adrian Florea, Investigating a New Design Pattern for Efficient Implementation of Prediction Algorithms, Journal of Digital Information Management, Vol. 11, Issue 5, ISSN 0972-7272 (DBLP, Scopus, EBSCO), pp. 366-377, October 2013.
  58. Adrian Florea, Andrei F. Klein, Victor Badea, Mihai Stefanescu, Arpad Gellert, Using FOCAP Tool for Teaching Microarchitecture Simulation and Optimization, The 17th International Conference on System Theory, Control and Computing (ICSTCC 2013), ISBN 978-1-4799-2228-4 (indexed ISI, Scopus, IEEE Xplore), Sinaia, October 2013.
  59. Traian Anghel, Adrian Florea, Arpad Gellert, Delilah Florea, Developing Online Collaborative Games for e-Learning Environments, The Second International Symposium on Knowledge Management and E-Learning (KMEL 2012), pp. 81-90, Sinaia, September 2012, republished in Lecture Notes in Computer Science, New Horizons in Web Based Learning, ISBN 978-3-662-43453-6 (DBLP, Scopus), Vol. 7697, pp. 221-230, 2014.
  60. Arpad Gellert, Horia Calborean, Lucian Vintan, Adrian Florea, Multi-Objective Optimizations for a Superscalar Architecture with Selective Value Prediction, IET Computers & Digital Techniques, Vol. 6, Issue 4, ISSN: 1751-8601 (ISI IF=0.284, Scopus, DBLP, EBSCO), pp. 205-213, Stevenage, United Kingdom, July 2012.
  61. Adrian Florea, Alexandru Ratiu, Arpad Gellert, Lucian Vintan, A Visual Simulation Framework for Simultaneous Multithreading Architectures, The 25th European Conference on Modelling and Simulation (ECMS 2011), ISBN: 978-0-9564944-2-9 (indexed ISI, Scopus, DBLP), Krakow, Poland, June 2011.
  62. Traian Anghel, Adrian Florea, Arpad Gellert, Delilah Florea, Web-Based Technologies for Online e-Learning Environments, 7th International Scientific Conference "eLearning and Software for Education" (eLSE 2011), ISSN 2066-026X (indexed ISI), Vol. 2, pp. 502-509, Bucharest, April 2011.
  63. Adrian Florea, Arpad Gellert, Traian Anghel, Delilah Florea, Enhanced Learning and Educational Management through Online Collaborative Technologies, Journal of Digital Information Management, Vol. 9, No. 1, ISSN 0972-7272 (DBLP, EBSCO, Scopus), pp. 33-42, February 2011.
  64. Árpád Gellért, Analiza şi proiectarea algoritmilor: o abordare pragmatică prin aplicaţii Java, Editura Techno Media, ISBN 978-606-8030-81-4, 2010.
  65. Adrian Florea, Arpad Gellert, Traian Anghel, Delilah Florea, Online Collaborative Education Management Tool, Proceedings of the 5th International Conference on Virtual Learning, ISSN 1844 - 893 (indexed ISI), pp. 367-374, Targu Mures, October 2010.
  66. Árpád Gellért, Rodica Baciu, Programare în limbaj de asamblare: îndrumar de laborator, Editura Techno Media, ISBN 978-606-8030-79-1, 2010.
  67. Arpad Gellert, Gianluca Palermo, Vittorio Zaccaria, Adrian Florea, Lucian Vintan, Cristina Silvano, Energy-Performance Design Space Exploration in SMT Architectures Exploiting Selective Load Value Predictions, International Conference on Design, Automation and Test in Europe (DATE 2010), ISBN: 978-3-9810801-6-2 (indexed ISI, Scopus, DBLP, ACM Digital Library, IEEE Xplore), pp. 271-274, Dresden, Germany, March 2010.
  68. Ciprian Radu, Horia Calborean, Adrian Florea, Arpad Gellert, Lucian Vintan, Exploring Some Multicore Research Opportunities. A First Attempt, Advanced Computer Architecture and Compilation for Embedded Systems (ACACES 2009), ISBN 978-9-0382-1467-2, Terrassa, Spain, 2009.
  69. Arpad Gellert, Adrian Florea, Lucian Vintan, Exploiting Selective Instruction Reuse and Value Prediction in a Superscalar Architecture, Journal of Systems Architecture, Elsevier, Vol. 55, Issue 3, ISSN 1383-7621 (ISI IF=0.722, Scopus, DBLP, ACM Digital Library, EBSCO), pp. 188-195, The Netherlands, 2009.
  70. Adrian Florea, Arpad Gellert, Lucian Vintan, Marius Veltan, The Impact of Java Applications at Microarchitectural Level from Branch Prediction Perspective, International Journal of Computers, Communications & Control, Vol. IV, No. 1, ISSN 1841-9836, E-ISSN 1841-9844 (ISI IF=0.373, Scopus), pp. 27-40, 2009.
  71. Árpád Gellért, Beyond the Limits of Modern Processors, Matrix Rom Publishing House, ISBN 978-973-755-426-0, Bucharest, 2008.
  72. Árpád Gellért, Advanced Prediction Methods Integrated Into Speculative Computer Architectures, PhD Thesis, Computer Science Department, “Lucian Blaga” University of Sibiu, November 2008.
  73. Lucian Vintan, Adrian Florea, Arpad Gellert, Random Degrees of Unbiased Branches, Proceedings of the Romanian Academy, Series A, Vol. 9, No. 3, ISSN 1454-9069 (ISI, Scopus), 2008.
  74. Lucian Vintan, Adrian Florea, Arpad Gellert, Forcing Some Architectural Ceilings of the Actual Processor Paradigm, Invited Paper, The 3rd Conference of The Academy of Technical Sciences from Romania (ASTR), ISBN 978-973-713-223-9, Cluj-Napoca, November 2008.
  75. Arpad Gellert, Developing and Improving the Performances of Some Predictive Architectures, Third PhD Report, Computer Science Department, "Lucian Blaga" University of Sibiu, April 2008.
  76. Árpád Gellért, Lucian N. Vințan, Adrian Florea, A Systematic Approach to Predict Unbiased Branches, “Lucian Blaga” University Press, ISBN 978-973-739-516-0, 111 pp., 2007.
  77. Adrian Florea, Ciprian Radu, Horia Calborean, Adrian Crapciu, Arpad Gellert, Lucian Vintan, Understanding and Predicting Unbiased Branches in General-Purpose Applications, Bulletin of the Polytechnic Institute of Iasi, Tom LIII (LVII), Fasc. 1-4, Section IV, ISSN 1220-2169 (Zentralblatt), Iasi, 2007.
  78. Adrian Florea, Ciprian Radu, Horia Calborean, Adrian Crapciu, Arpad Gellert, Lucian Vintan, Designing an Advanced Simulator for Unbiased Branches Prediction, Proceedings of 9th International Symposium on Automatic Control and Computer Science, ISSN 1843-665X, Iasi, 2007.
  79. Ciprian Radu, Horia Calborean, Adrian Crapciu, Arpad Gellert, Adrian Florea, An Interactive Graphical Trace-Driven Simulator for Teaching Branch Prediction in Computer Architecture, The 6th EUROSIM Congress on Modelling and Simulation, (EUROSIM 2007), ISBN 978-3-901608-32-2, Ljubljana, Slovenia, September 2007.
  80. Arpad Gellert, Adrian Florea, Maria Vintan, Colin Egan, Lucian Vintan, Unbiased Branches: An Open Problem, Twelfth Asia-Pacific Computer Systems Architecture Conference (ACSAC 2007), published in Lecture Notes in Computer Science, Springer-Verlag Berlin Heidelberg, Vol. 4697/2007, ISSN 0302-9743, ISBN 978-3-540-74308-8 (indexed ISI, Scopus, DBLP, ACM Digital Library), pp. 16-27, Seoul, Korea, August 2007.
  81. Arpad Gellert, Integration of Some Advanced Prediction Methods Into Speculative Computing Systems, Second PhD Report, Computer Science Department, "Lucian Blaga" University of Sibiu, March 2007.
  82. Lucian Vintan, Arpad Gellert, Adrian Florea, Marius Oancea, Colin Egan, Understanding Prediction Limits Through Unbiased Branches, Eleventh Asia-Pacific Computer Systems Architecture Conference (ACSAC 2006), published in Lecture Notes in Computer Science, Springer-Verlag Berlin Heidelberg, Vol. 4186/2006, ISSN 0302-9743, ISBN 978-3-540-40056-1 (ISI IF=0.402, Scopus, DBLP, ACM Digital Library), pp. 480-487, Shanghai, China, September 2006.
  83. Marius Oancea, Arpad Gellert, Adrian Florea, Lucian Vinţan, Analyzing Branch Prediction Contexts Influence, Advanced Computer Architecture and Compilation for Embedded Systems (ACACES 2006), ISBN 90 382 0981 9, pp. 5-8, L’Aquila, Italy, July 2006.
  84. Adrian Florea, Arpad Gellert, Memory Wall — A Critical Factor in Current High-Performance Microprocessors, Science and Supercomputing in Europe, ISBN 978-88-86037-19-8, pp. 257-264, Barcelona, Spain, 2006.
  85. Arpad Gellert, Adrian Florea, Finding and Solving Difficult Predictable Branches, Science and Supercomputing in Europe, ISBN 978-88-86037-19-8,  pp. 265-271, Barcelona, Spain, 2006.
  86. Arpad Gellert, Lucian Vintan, Person Movement Prediction Using Hidden Markov Models, Studies in Informatics and Control, Vol. 15, No. 1, ISSN 1220-1766 (IEE INSPEC), National Institute for Research and Development in Informatics, Bucharest, March 2006.
  87. Arpad Gellert, Prediction Methods Integrated Into Advanced Architectures, First PhD Report, Computer Science Department, "Lucian Blaga" University of Sibiu, January 2006.
  88. Lucian Vinţan, Adrian Florea, Arpad Gellert, Focalising Dynamic Value Prediction to CPU’s Context, IEE Proceedings – Computers & Digital Techniques, Vol. 152, No. 4, ISSN 1350-2387 (ISI IF=0.533, Scopus, EBSCO), pp. 473-481, Stevenage, United Kingdom, July 2005.
  89. Lucian Vinţan, Arpad Gellert, Adrian Florea, Value Prediction Focalized on CPU Registers, Advanced Computer Architecture and Compilation for Embedded Systems (ACACES 2005), Academia Press, ISBN 90 382 0802 2, pp. 181-184, Ghent, Belgium, July 2005.
  90. Lucian Vinţan, Arpad Gellert, Adrian Florea, Register Value Prediction Using Metapredictors, Proceedings of the 8th International Symposium on Automatic Control and Computer Science, Iasi, October 2004, republished in Bulletin of the Polytechnic Institute of Iasi, Fasc. 1-4, Section IV, Tomul L (LIV), ISSN 1220-2169 (Zentralblatt), pp. 109-122, Iasi, 2004.
  91. Jan Petzold, Theo Ungerer, Lucian Vintan, Arpad Gellert, Comparative Study of Location Prediction by Neural Network and State Predictor Methods, University of Augsburg, Germany, 2014.
  92. Lucian Vinţan, Arpad Gellert, Jan Petzold, Theo Ungerer, Person Movement Prediction Using Neural Networks, Proceedings of the KI2004 International Workshop on Modeling and Retrieval of Context (MRC 2004), Vol-114, ISSN 1613-0073 (CiteSeerX), Ulm, Germany, September 2004.
  93. Ioan Z. Mihu, Arpad Gellert, Horia V. Caprita, Improving the Recognition System Architecture in Order to Increase the Set of Recognized Geometric Shapes, Proceedings of the International Conference on Computers and Communications (ICCC 2004), ISBN 973-613-542-X, pp. 241-247, Oradea, May 2004.
  94. Ioan Z. Mihu, Horia V. Caprita, Arpad Gellert, Parallel Programming Using MPI Library on Message-Passing Architectures, Proceedings of the 6th International Conference on Technical Informatics (CONTI 2004), Transactions on Automatic Control and Computer Science, Vol. 49(63), No. 4, ISSN 1224-600X (indexed COPERNICUS, VINITI), pp. 37-42, Timisoara, May 2004.
  95. Ioan Z. Mihu, Arpad Gellert, Horia V. Caprita, Improved Methods of Geometric Shape Recognition Using Fuzzy and Neural Techniques, Proceedings of the 6th International Conference on Technical Informatics (CONTI 2004), Transactions on Automatic Control and Computer Science, Vol. 49(63), No. 4, ISSN 1224-600X (indexed CiteSeerX, COPERNICUS, VINITI), pp. 99-104, Timisoara, May 2004.
  96. Lucian Vinţan, Arpad Gellert, Jan Petzold, Theo Ungerer, Person Movement Prediction Using Neural Networks, Technical Report 2004-10 (http://www.informatik.uni-augsburg.de/skripts/techreports/), Institute of Computer Science, University of Augsburg, Germany, April 2004.
  97. Ioan Z. Mihu, Arpad Gellert, Cosmin N. Suciu, Hierarchical Architecture Implying Fuzzy and Neural Techniques for On-Line Geometric Shape Recognition, Annals of the University of Craiova, vol. 27, ISSN 1223-530X, pp. 173-180, Craiova, 2003.
  98. Ioan Z. Mihu, Arpad Gellert, Cosmin N. Suciu, Geometric Shape Recognition Using Fuzzy and Neural Techniques, Proceedings of the 11th International Scientific Symposium (SINTES 11), ISBN 973-8043-416-6, pp. 354-358, Craiova, October 2003.
  99. Ioana I. Moisil, Arpad Gellert, Introducing Object-Oriented Applications with the Caché Database System, Proceedings of the 2nd Balkan Region Conference on Engineering Education, ISBN 973-651-673-3 (indexed ISI), pp. 194-197, Sibiu, September 2003.
9 - Proiecte

  1. Membru (director Bogdan-Constantin Pîrvu), FIT EDIH 2.0 – Accelerating AI-Driven Digital Transformation in Romania's Centru Region, Proiect Digital Europe 101256917, 2026-2029.
  2. Director, Modelarea și optimizarea consumului și a producției de electricitate prin metode avansate de învățare automată, Grant LBUS-HPI-ERG-2023-03, 2023-2025.
  3. Director, Monitoring eco-friendly quality of the PET bottle manufacturing using advanced AI (AI4GreenPET), DIH-World Open Call 2 (Horizon 2020 EU Grant Agreement No. 952176), 2022-2023.
  4. Membru (director Bogdan-Constantin Pîrvu), Futures of Innovation Technologies European Digital Innovation Hub (FIT EDIH), Proiect Digital Europe 101083915, 2022-2026.
  5. Director, Metode de estimare a consumului de energie electrică la nivel de oraș, Grant LBUS-IRG-2022-08, 2022-2025.
  6. Director, Modelarea proceselor de asamblare asistată a produselor prin metode de inteligență artificială, Grant LBUS-IRG-2021-07, 2021-2024.
  7. Membru (director Constantin-Bala Zamfirescu), Ingineria învățării automate în Digital Twin, Grant LBUS-HPI-ERG-2020-03, 2021-2023.
  8. Director, Modelare și estimare prin metode avansate de predicție, Grant LBUS-IRG-2020-06, 2020-2023.
  9. Director, Tehnici de predicție a consumului și a producției de energie electrică în clădiri, Grant LBUS-IRG-2019-05, 2019-2022.
  10. Membru (director Bogdan-Constantin Pîrvu), Dezvoltarea sistemelor socio-fizico-cibernetice pe baza Internetului Lucrurilor în fabrica viitorului, Proiect POC, ID P_37_771, 2019-2020.
  11. Director, Metode de anticipare statistice în sisteme de gestiune a energiei electrice, Grant LBUS-IRG-2018-04, 2018-2020.
  12. Membru comisie implementare (director Gabriel Leahu), Personalul didactic din învăţământul preuniversitar şi universitar de stat – promotor al învăţării pe tot parcursul vieţii, Proiect POSDRU/174/1.3/S/149155, 2014.
  13. Membru expert TIC (director Daniel Mara), e-Mentor: Dezvoltarea de competenţe şi abilităţi TIC şi Mentorat educaţional al persoanelor cu dizabilităţi, Proiect POSDRU/157/1.3/S/140877, 2013.
  14. Membru (director Koen de Boschere – Ghent Univ., Belgium), High Performance and Embedded Architecture and Compilation (HiPEAC), FP7 project no. 287759, 2012-2015.
  15. Responsabil, Design Space Exploration of Advanced Prediction Methods for Speculative Computer Architectures, proiect de cercetare cod 0066/AMM din 22.05.2009, Politecnico di Milano, Italia, 2009.
  16. Membru (director Maria Vinţan), Extinderea paradigmei analizei scurtcircuitelor monofazate în reţelele electrice de înaltă tensiune prin metode clasice şi euristice, Grant CNCSIS, cod 485, 2008.
  17. Director, Metode avansate de predicţie integrate în arhitecturi cu procesări speculative, Grant CNCSIS tip TD, cod 248, 2007/2008.
  18. Membru (director Lucian Vinţan), Microarhitectură superscalară avansată cu procesări paralele şi predictiv-speculative, Grant CNCSIS tip A, cod 39, 2007/2008.
  19. Membru (director Constantin Oprean), Sistem de suport al deciziilor de grup în mediul academic şi al administraţiei publice – premisă a descentralizării şi democratizării sistemului decizional, Proiect P-CD, Nr. eCD1, Effective Decisions, 2005.
  20. Membru (director Lucian Vinţan), Îmbunătăţiri ale paradigmei arhitecturilor superscalare prin reutilizarea şi predicţia valorilor instrucţiunilor, Grant CNCSIS cod 71/2004 - 2006.
10 - Citări

      Citările 1-450 din perioada 2002-2023 sunt disponibile aici: http://webspace.ulbsibiu.ro/arpad.gellert/html/Publications.pdf

  1. T. Mohanaprakash, M. Mutharasu, T. Saravanan, S. Raja, A.A.V. Sweety, Enhancing Energy Efficiency in Smart Cities: Advanced ANN and Decision Tree Model for Solar Energy with IoT and Cloud Server, International Journal of Intelligent Systems and Applications in Engineering, Vol. 12, Issue 2, pp. 10-19, 2024.
  2. Dutkin Anton Sergeevich, Advantages of Developing Large-Scale Virtual Reality Simulators for the Oil and Gas Industry using Terrestrial Laser Scanning and Information Modeling Technology, IX International Conference, pp. 35-38, Penza, Russia, 2024.
  3. Biao LI, Zhiwei Xing, Liwen Wang, Dynamic prediction for aircraft ground deicing operation process, Journal of Beijing University of Aeronautics and Astronautics, Vol. 50, Issue 1, pp. 224-233, January 2024.
  4. Priya Bijalwan, Ashulekha Gupta, Anubhav Mendiratta, Amar Johri, Mohammad Asif, Predicting the Productivity of Municipality Workers: A Comparison of Six Machine Learning Algorithms, Economies, Vol. 12, Issue 1, p. 16, January 2024.
  5. Arunava Bandyopadhyay, Bishal Dey Sarkar, Md. Emran Hossain, Soumen Rej, Mohidul Alam Mallick, Modelling and forecasting India's electricity consumption using artificial neural networks, OPEC Energy Review, January 2024.
  6. Beyza Özdem, Muharrem Düğenci, Mümtaz Ipek, Determination of Electricity Production by Fuzzy Logic Method, Academic Platform Journal of Engineering and Smart Systems, Vol. 12, Issue 1, pp. 14-20, January 2024.
  7. Marcello Urgo, Francesco Berardinucci, Pai Zheng, Lihui Wang, AI-Based Pose Estimation of Human Operators in Manufacturing Environments, CIRP Novel Topics in Production Engineering, Vol. 1, pp. 3-38, February 2024.
  8. Mustafa Saglam, Xiaojing Lv, Catalina Spataru, Omer Ali Karaman, Instantaneous Electricity Peak Load Forecasting Using Optimization and Machine Learning, Energies, Vol. 17, Issue 4, p. 777, February 2024.
  9. Ali Maboudi Reveshti, Elham Khosravirad, Ahmad Karimi Rouzbahani, Saeed Khakshouri Fariman, Hamidreza Najafi, Ali Peivandizadeh, Energy consumption prediction in an office building by examining occupancy rates and weather parameters using the moving average method and artificial neural network, Heliyon, February 2024.
  10. S.A. Poojitha, K. Ravindranath, Optimal Usage of Resources through Quality Aware Scheduling in Containers based Cloud Computing Environment, Scalable Computing: Practice and Experience, Vol. 25, No. 2, February 2024.
  11. Jiang-Wen Xiao, Hongliang Fang, Yan-Wu Wang, Short-Term Residential Load Forecasting via Pooling-Ensemble Model with Smoothing Clustering, IEEE Transactions on Artificial Intelligence, March 2024.
  12. Kalpana D. Vidhate, Pragya Nema, Forecasting Energy Utilization in Residential Areas through Machine Learning Techniques, Journal of Electrical Systems, Vol. 20, No. 1s, pp. 743-748, March 2024.
  13. Andrei Patrausanu, Adrian Florea, Mihai Neghină, Alina Dicoiu, Radu Chis, A Systematic Review of Multi-Objective Evolutionary Algorithms Optimization Frameworks, Processes, Vol. 12, Issue 5, p. 869, April 2024.
  14. Pooja Goyal, Md Khorrom Khan, Natnael Teshome, Brendan Geary, Renee Bryce, Context Data Compact Prediction Tree (CD-CPT): Transforming User Experience Through Predictive Analysis, 9th International Conference on Internet of Things, Big Data and Security (IoTBDS 2024), pp. 166-173, Angers, France, April 2024.
  15. Lesia Mochurad, Viktoriia Babii, Michal Greguš, Machine Learning Models for the Recognition of Commands in Smart Home Technologies, International Conference on Smart Automation & Robotics for Future Industry, Lviv, Ukraine, April 2024.
  16. Katleho Makatjane, Ditebo Xaba, Modisane Bennett Seitshiro, Electricity Demand Forecasting using Dual Stream TBATS-CNN-LSTM Architecture, Machine Learning and Computer Vision for Renewable Energy, May 2024.
  17. Eyob Messele Sefene, Chao-Chang Arthur Chen, Yueh-Hsun Tsai, Ting-Huan Lai, Ding-Xuan Huang, Assessment of sustainable and machinable performance metrics of monocrystalline silicon carbide wafer with electrophoretic-assisted multi-diamond wire sawing, The International Journal of Advanced Manufacturing Technology, May 2024.
  18. Excellence M. Kuyumani, Ali N. Hasan, Thokozani C. Shongwe, A Combined Model of Convolutional Neural Network and Bidirectional Long Short-Term Memory with Attention Mechanism for Load Harmonics Forecasting, Energies, Vol. 17, Issue 11, p. 2658, May 2024.
  19. Julia Bitencourt, Ana Wooley, Gregory Harris, Verification and validation of digital twins: a systematic literature review for manufacturing applications, International Journal of Production Research, May 2024.
  20. Vinit Hegiste, Snehal Walunj, Jibinraj Antony, Tatjana Legler, Martin Ruskowski, Enhancing Object Detection with Hybrid dataset in Manufacturing Environments: Comparing Federated Learning to Conventional Techniques, 1st International Conference on Innovative Engineering Sciences and Technological Research, Muscat, Oman, May 2024.
  21. Mihai Neghina, Alina-Ioana Dicoiu, Radu Chis, Adrian Florea, A competitive new multi-objective optimization genetic algorithm based on apparent front ranking, Engineering Applications of Artificial Intelligence, Vol. 132, p. 107870, June 2024.
  22. Faiza Fayyaz, Steam-induced melt infiltration method for all oxide Co3O4 based solar cells, MSc Thesis, Åbo Akademi University, Turku, Finland, June 2024.
  23. Shan Liang, Day-Ahead Electricity Consumption Forecast in The Netherlands, MSc Thesis, Tilburg University, The Netherlands, June 2024.
  24. Rasikh Tariq, Awsan Mohammed, Adel Alshibani, Maria Soledad Ramírez-Montoya, Complex artificial intelligence models for energy sustainability in educational buildings, Scientific Reports, Vol. 14, p. 15020, July 2024.
  25. Bei Zhou, Zhitao Liu, Hongye Su, 5G Networks Enabling Cooperative Autonomous Vehicle Localization: A Survey, IEEE Transactions on Intelligent Transportation Systems, July 2024.
  26. Snehal Walunj, Michael Sintek, Parsha Pahlevannejad, Christiane Plociennik, Martin Ruskowski, Ontology-Based Digital Twin Framework Using Contextual Affordances for Worker Assistance in Smart Factories, Advances in Information Systems Development, Lecture Notes in Information Systems and Organisation, Vol. 67, pp. 153–172, July 2024.
  27. B. Jothi, Jeyasudha J., Sujatha M., Jayalakshmi M., Nagendar Yamsani, Aarthi C., Analysis of Network Performance Using Markov Autoregressive and ARIMAX Models Using Optimization, Emerging Advancements in AI and Big Data Technologies in Business and Society, pp. 282-298, July 2024.
  28. Qingyao Qiao, Akilu Yunusa-Kaltungo, Yue Zhai, Ashraf Alghanmi, Overview of Key Methodologies for Predicting Energy Consumption in Buildings, Key Themes in Energy Management, Lecture Notes in Energy, Vol. 100, pp. 355-372, July 2024.
  29. Jiang-Wen Xiao, Hongliang Fang, Yan-Wu Wang, Short-Term Residential Load Forecasting Via Pooling-Ensemble Model with Smoothing Clustering, IEEE Transactions on Artificial Intelligence, Vol. 5, Issue 7, July 2024.
  30. Diego Daniel Rodrigues Insaurralde, Felipi Luiz de Assunção Bezerra, Admilson Lopes Vieira, Thiago Leandro de Souza, Lucas Bonfim-Rocha, Síntese e desenvolvimento de um simulador com realidade virtual para produção de biogas, III Brazilian Congress on Process Systems Engineering, pp. 86-91, São Paulo, SP, Brazil, July 2024.
  31. Filip Nastić, Nebojšta Jurišević, Danijela Nikolić, Davor Končalović, Harnessing open data for hourly power generation forecasting in newly commissioned photovoltaic power plants, Energy for Sustainable Development, Vol. 81, p. 101512, August 2024.
  32. Archana Boob, Mansi Radke, Leveraging two-level deep learning classifiers for 2D shape recognition to automatically solve geometry math word problems, Pattern Analysis and Applications, Vol. 27, p. 102, August 2024.
  33. Yee Yeng Liau, Kwangyeol Ryu, Monitoring model for enhancing adaptability in human-robot collaborative mold assembly, International Journal of Computer Integrated Manufacturing, August 2024.
  34. Wan Hasbul Hadi Wan Abdul Halim, Suhaiza Zailani, Mohd Rizaimy Shaharudin, Muhammad Khalilur Rahman, Factors Affecting the Consumers’ Energy-Conserving Behaviours on Solar-Plus-Storage (SPS) Systems’ Adoption for Sustainable Electricity Consumption: A Case in Malaysia, Energy Efficiency, Vol. 17, Issue 7, p. 73, August 2024.
  35. Jorge P. Rodriguez, Laura A. Cecchi, Logic Programming in Primary School: Facing Computer Science at an Early Age, 2024 L Latin American Computer Conference, Buenos Aires, Argentina, August 2024. 
  36. Ze Wang, Degui Yao, Ying Shi, Zhexin Fan, Yun Liang, Yuanyuan Wang, Hao Li, A two-stage electricity consumption forecasting method integrated hybrid algorithms and multiple factors, Electric Power Systems Research, Vol. 234, p. 110600, September 2024.
  37. Ntumba Marc‐Alain Mutombo, Bubele Papy Numbi, Tahar Tafticht, Total electricity generation dynamics analysis and renewable energy impacts in South Africa, Energy Science & Engineering, September 2024.
  38. Dylan Wladimir Pawankiza Castellano, Estimación de la demanda eléctrica mediante la red neuronal recurrente tipo LSTM aplicado al estudio de un sector residencial en una micro-red, BSc Thesis, Politecnica Salesiana University, Quito, Ecuador, September 2024.
  39. Blanka Tundys, Tomasz Wiśniewski, Smart City and Sustainable Energy – Evidence from the European Union Capital Cities, Energies, Vol. 17, Issue 18, September 2024.
  40. Mingu Jeon, In-Ho Choi, Seung-Woo Seo, Seong-Woo Kim, Extremely Rare Anomaly Detection Pipeline in Semiconductor Bonding Process with Digital Twin-driven Data Augmentation Method, IEEE Transactions on Components, Packaging and Manufacturing Technology, September 2024.
  41. Sanjay Kumar Dwivedi, Hiroto Nagayoshi, Hiroki Ohashi, Prediction of High-Level Actions from the Sequence of Atomic Actions in Assembly Line Workstations, 29th International Conference on Emerging Technologies and Factory Automation, Padova, Italy, September 2024.
  42. Qifeng Luo, Jiehong Ye, Jingming Liang, Qiang Zhou, Behavior Analysis and Safety Management of Workers in Limited Space Based on Machine Learning, 2024 International Conference on Industrial IoT, Big Data and Supply Chain (IIoTBDSC), Wuhan, China, September 2024.
  43. Edris Khorani, Sophie L. Pain, Tim Niewelt, Ruy S. Bonilla, Tasmiat Rahman, Nicholas E. Grant, John D. Murphy, Hierarchical time-series approaches for photovoltaic systems performance forecasting with sparse datasets, IEEE Journal of Photovoltaics, Vol.15, Issue 1, pp. 173-180, October 2024.
  44. Mohammad Mohammadpour, Bilel Allani, Sousso Kelouwani, Messaoud Ahmed Ouameur, Lotfi Zeghmi, Ali Amamou, Hossein Bahmanabadi, Optimal charging scheduling for Indoor Autonomous Vehicles in manufacturing operations, Advanced Engineering Informatics, Vol. 62, Part C, p. 102804, October 2024.
  45. Isaiah Nassiuma, Yee Mey Goh, Ella-Mae Hubbard, Positive and Negative Reinforcement Nudges for Human-Robot Collaboration using a Mixed Reality Interface, Proceedings of the European Conference on Cognitive Ergonomics 2024, p. 30, Paris, France, October 2024.
  46. Adrian Florea, Lasse Berntzen, Maria Vintan, Dorel Stanescu, Daniel Morariu, Claudiu Solea, Ugo Fiore, Prosumer networks – A key enabler of control over renewable energy resources, Renewable Energy Focus, p. 100648, October 2024.
  47. Adeyimi Abel Ajibesin, Narasimha Rao Vajjhala, Ernest Joel, Sandip Rakshit, Predictive Web Prefetching: A Combined Approach Using Clustering Algorithms and WEKA in High-Traffic Settings, Artificial Intelligence in Internet of Things (IoT): Key Digital Trends, Lecture Notes in Networks and Systems, Vol. 1072, pp. 221–231, October 2024.
  48. Eyob Messele Sefene, Steve Hsueh-Ming Wang, Chao-Chang Arthur Chen, Analysis of contact length and temperature effect in rocking mode diamond wire sawing of monocrystalline silicon carbide wafer, Manufacturing Letters, Vol. 41, pp. 641-652, October 2024.
  49. Ying Wang, Hongmin Li, Atif Jahanger, Qiwei Li, Biao Wang, Daniel Balsalobre Lorente, A novel ensemble electricity load forecasting system based on a decomposition-selection-optimization strategy, Energy, p. 133524, October 2024.
  50. You-Shyang Chen, Ying-Hsun Hung, Mike Yau-Jung Lee, Jieh-Ren Chang, Chien-Ku Lin, Tai-Wen Wang, Advanced Study: Improving the Quality of Cooling Water Towers’ Conductivity Using a Fuzzy PID Control Model, Mathematics, Vol. 12, Issue 20, p. 3296, October 2024.
  51. Claudiu Solea, Corina Hera, Adrian Florea, Daniel Morariu, Dorel Stanescu, Maria Vintan, A Comparative Study on Prosumers Load Demand and Production Forecasting Using Machine Learning and Time Series Techniques, 2024 International Conference on Applied and Theoretical Electricity, Craiova, Romania, October 2024.
  52. Alesia Gerassimenko, Lieven De Moor, Laurens Defau, Forecasting residential real estate prices and energy usage in Flanders, International Journal of Housing Markets and Analysis, October 2024.
  53. Favour Ibude, Abayomi Otebolaku, Jude E. Ameh, Augustine Ikpehai, Multi-Timescale Energy Consumption Management in Smart Buildings Using Hybrid Deep Artificial Neural Networks, Journal of Low Power Electronics and Applications, Vol. 14, Issue 4, p. 54, November 2024.
  54. Arno Claeys, Steven Hoedt, El-Houssaine Aghezzaf, Johannes Cottyn, Assessing assembly instructions quality using operator behavior, The International Journal of Advanced Manufacturing Technology, November 2024.
  55. Md. Ibne Joha, Md Minhazur Rahman, Md Shahriar Nazim, Yeong Min Jang, A Secure IIoT Environment That Integrates AI-Driven Real-Time Short-Term Active and Reactive Load Forecasting with Anomaly Detection: A Real-World Application, Sensors, Vol. 24, Issue 23, p. 7440, November 2024.
  56. Ibomoiye Domor Mienye, Theo G. Swart, A Comprehensive Review of Deep Learning: Architectures, Recent Advances, and Applications, Information, Vol. 15, Issue 12, p. 755, November 2024.
  57. Hassan Sarikhan Kheljani, Pouneh Aghakhanlou, Mehran Sabahi, Kamran Taghizad-Tavana, Mehrdad Tarafdar-Hagh, Optimizing the Smart Cites: Energy Management Approaches, Technologies, Data Analytic and Security Challenges, Journal of Energy Management and Technology, Vol. 8, Issue 4, pp. 322-340, November 2024.
  58. Yamini Kodali, Yellapragada Venkata Pavan Kumar, ANOVA-Based Variance Analysis in Smart Home Energy Consumption Data Using a Case Study of Darmstadt Smart City Germany, Engineering Proceedings, Vol. 82, p. 31, November 2024.
  59. Hamzah, Paulus Insap Santosa, Guntur Dharma Putra, Whisper of Website Object Preparation: A Systematic Literature Review on Web Prefetching and Precaching, 2024 International Conference on Informatics, Multimedia, Cyber and Information System (ICIMCIS), Jakarta, Indonesia, November 2024.
  60. Margaux Van Geem, Benno Kruit, Stefan Schlobach, Integrating Knowledge Representation Techniques for Land Use Management Optimization, 24th International Conference on Knowledge Engineering and Knowledge Management (EKAW 2024), Amsterdam, The Netherlands, November 2024.
  61. Tomorn Soontornnapar, Tuchsanai Ploysuwan, A novel approach to enhanced fall detection using STFT and magnitude features with CNN autoencoder, Neural Computing and Applications, December 2024.
  62. Mohamed Mohandes, Salman A. Khan, Shafiqur Rehman, Ali Al-Shaikhi, Bo Liu, Kashif Iqbal, A Preliminary Empirical Analysis of Termination Criteria in the Genetic Algorithms for Wind Farm Micrositing, 6th International Symposium on Advanced Electrical and Communication Technologies, Alkhobar, Saudi Arabia, December 2024.
  63. Rubina Akter, Majid Gholami Shirkoohi, Jing Wang, Walter Mérida, An efficient hybrid deep neural network model for multi-horizon forecasting of power loads in academic buildings, Energy and Buildings, Vol. 329, p. 115217, December 2024.
  64. Пальчевский Евгений Владимирович, Methods of neural network processing of large temporal data for information management decision support (based on the example of electric power industry), PhD Thesis, Ufa University of Science and Technology, Russia, 2024.
  65. Lukas Falcke, Ann-Kristin Zobel, Youngjin Yoo, Christopher Tucci, Digital Sustainability Strategies: Digitally Enabled and Digital-First Innovation for Net Zero, Academy of Management Perspectives, 2024.
  66. Jhuma Mim, Transformer neural networks model for electricity prosumption short-term forecasting, MSc Thesis, Lappeenranta-Lahti University of Technology LUT, Finland, 2024.
  67. Ken Chen, Wenyao Zhu, The Utilization of a Multi-Layer Perceptron Model for Estimation of the Heating Load, International Journal of Advanced Computer Science & Applications, Vol. 15, Issue 6, p. 116, 2024.
  68. Huachang Liang, Context-aware cognitive assistive assembly system based on online human action recognition, MSc Thesis, The University of Auckland, New Zealand, 2024.
  69. Archana Boob, Mansi Radke, ElementaryCQT: A New Dataset and its Deep Learning Analysis for 2D Geometric Shape Recognition, SN Computer Science, Vol. 6, p. 9, 2025.
  70. Satyabrata Pandit, Saptarshi Kumar Sarkar, Sreya Barik, Sutapa Shau, Virtual Reality in the Education System, Creating Immersive Learning Experiences Through Virtual Reality (VR), IGI Global, pp. 311-372, 2025.
  71. Jeffrey Huang, Simon Elias Bibri, Paul Keel, Generative Spatial Artificial Intelligence for Sustainable Smart Cities: A Pioneering Large Flow Model for Urban Digital Twin, Environmental Science and Ecotechnology, p. 100526, January 2025.
  72. Siddarth Bramarambika Shankar, Development of a Pick-by-Light Assistance System in a Sheltered Workshop: A User-Centred Approach, MSc Thesis, Technical University of Vienna, Austria, January 2025.
  73. Yavuz Akpınar, Ekrem Kutbay, Açınsayıcı eğitsel oyunlarda öğrenme destek türlerinin incelenmesi, Eğitimde Kuram ve Uygulama, Vol. 21, Issue 1, pp. 65-86, January 2025.
  74. Sri Silpa Padmanabhuni, K. G. M. Pradeep, Sai Pallavi Akkisetti, G. Jayalaxmi, Harmonizing Renewable Energy, IoT, and Economic Prosperity: A Multifaceted Analysis, Sustainable Smart Homes and Buildings with Internet of Things, Chapter 16, February 2025.
  75. Imad Antoine Ibrahim, Franziska Baack, Ewert Aukes, Lisa Sanderink, Frans Coenen, Florian Helfrich, Athanasios Votsis, Thomas Hoppe, Local energy autarky: What it means and why it matters, Energy Research & Social Science, Vol. 120, p. 103920, February 2025.
  76. Simon Elias Bibri, Jeffrey Huang, Osama Omar, Inji Kenawy, Synergistic integration of digital twins and zero energy buildings for climate change mitigation in sustainable smart cities: A systematic review and novel framework, Energy and Buildings, p. 115484, February 2025.
  77. Nuno Souza e Silva, Rui Castro, Paulo Ferrão, Smart Grids in the Context of Smart Cities: A Literature Review and Gap Analysis, Energies, Vol. 18, Issue 5, p. 1186, February 2025.
  78. Julius Adinkrah, Francis Kemausuor, Eric Tutu Tchao, Henry Nunoo-Mensah, Andrew Selasi Agbemenu, Akwasi Adu-Poku, Jerry John Kponyo, Artificial intelligence-based strategies for sustainable energy planning and electricity demand estimation: A systematic review, Renewable and Sustainable Energy Reviews, Vol. 210, p. 115161, March 2025.
  79. Haodong Chen, Niloofar Zendehdel, Ming C. Leu, Zhaozheng Yin, A gaze-driven manufacturing assembly assistant system with integrated step recognition, repetition analysis, and real-time feedback, Engineering Applications of Artificial Intelligence, Vol. 144, p. 110076, March 2025.
  80. Praveen Vijai, Bagavathi Sivakumar P, Anomaly Detection Solutions: The Dynamic loss Approach in VAE for Manufacturing and IoT Environment, Results in Engineering, Vol. 25, Issue 4, p. 104277, March 2025.
  81. Daniel-Costin Ebâncă, Claudiu-Ionuţ Popîrlan, Irina-Valentina Tudor, Cristina Popîrlan, Autoregressive Model for Energy Consumption Time Series, Advances in ICT Research in the Balkans, March 2025.
  82. Shang Ying, Liu Xinran, Liao Liying, Research on Intelligent Local Energy System and Power Metering Based on Supply-side Demand Based on KNN, Strategic Planning for Energy and the Environment, Vol. 44, Issue 1, March 2025.
  83. Ling Yang, Zhong Zheng, Libo Huang, Run Yan, Sheng Ma, Yongwen Wang, Weixia Xu, Optimizing value prediction for ILP processors: A design space exploration approach, Integration, Vol. 103, p. 102402, March 2025.
  84. Yeaji Lee, Nazila Roofigari-Esfahan, Sang Won Lee, Myounghoon Jeon, Intelligent Agents for Outdoor Workers: A Systematic Review, International Journal of Human-Computer Interaction, March 2025.
  85. Snehal Walunj, Nazanin Mashhaditafreshi, Parsha Pahlevannejad, Achim Wagner, Martin Ruskowski, Human-Robot Interaction Through Egocentric Hand Gesture Recognition, Advances in Artificial Intelligence in Manufacturing II, pp. 125-133, March 2025.
  86. Yuxuan Dai, Employment of a Radial Basis Function Model for Predicting the Heating Load of Construction, Journal Of Applied Science And Engineering, Vol. 28, Issue 12, pp. 2315-2328, March 2025.
  87. Zareena Begum, Arukala Anjan, Guda Abhivardhan, Murahari Varun Tej, Eera Hashwanthratna, Machine Learning Models for Analysing and Predicting Team Productivity in Garment Manufacturing, International Journal of Information and Electronics Engineering, Vol. 15, No. 4, April 2025.
  88. Wenxing Liu,Ipek Caliskanelli, Hanlin Niu, Kaiqiang Zhang, Robert Skilton, A Survey on Object-Oriented Assembly and Disassembly Operations in Nuclear Applications, Big Data and Cognitive Computing, Vol. 9, Issue 5, p. 118, April 2025.
  89. S. Tsuji, A. Tatsumi, M. Okubo, Influences of Focal Length on Space Perception in a Virtual Reality Environment, Journal of Advanced Manufacturing Technology, Vol. 19, No. 1, pp. 33-45, April 2025.
  90. Rubén Ferrero-Guillén, Javier Díez-González, Alberto Martínez-Gutiérrez, Hilde Perez, Joaquín Torres-Sospedra, Adriano Moreira, Comparing synchronous and asynchronous UWB time-based localization systems for Autonomous Mobile Robots, Neurocomputing, Vol. 629, May 2025.
  91. Nur Ismi Khair, Ruslan, Agusrawati, Forecasting Analysis of Electricity Consumption in East Kolaka and Konawe Districts Using Prophet Method, Jurnal Matematika, Statistika dan Komputasi, Vol. 21, No. 3, pp. 832-846, May 2025.
  92. Dongxu Ma, Chao Zhang, Guanghui Zhou, Qingfeng Xu, Jinqiang Li, Dan Zhao, Jiewu Leng, A Systematic Review on Vision-Based Proactive Human Assembly Intention Recognition for Human-Centric Smart Manufacturing in Industry 5.0, IEEE Internet of Things Journal, Vol. 12, Issue 16, pp. 32493-32515, August 2025. 
  93. Yevhen Kholiavka, Yuliia Parfenenko, Intelligent energy consumption forecasting and microgrid state assessment using machine learning and fuzzy logic, Technology Audit and Production Reserves, Vol. 3, No. 83, May 2025.
  94. Salman A. Khan, Mohamed Mohandes, Shafiqur Rehman, Ali Al-Shaikhi, Kashif Iqbal, Fuzzy Logic Based Evaluation of Hybrid Termination Criteria in the Genetic Algorithms for the Wind Farm Layout Design Problem, Computers, Materials & Continua, Vol. 84, Issue 1, p. 553, May 2025.
  95. Marco Bleckmann, Jonas Ast, Celina Dettmering, Christiane Steffens, Dominika Wroblewski, Peter Nyhuis, Individualised Assembly Instructions for Flex Shop – Assembly Precedence Matrix-Based Tool, Journal of Production Systems and Logistics, Vol. 5, p. 5, May 2025.
  96. Fuwang Li, Assessing the Potential of Intelligent Mathematical Models for Predicting Energy Consumption in Smart Homes, Smart Grids and Sustainable Energy, Vol. 10, Issue 2, p. 42, May 2025.
  97. Mohammed Waleed Imran Al-Janabi, Nilufer Ay, A Framework for Selecting and Implementing Autonomous Mobile Robots in Intralogistics to Facilitate the Transition to a Smart Factory in Manufacturing Companies, MSc Thesis, Mälardalen University, Eskilstuna, Sweden, May 2025.
  98. Bethanie Williams, Rima Asmar Awad, Clifton Mulkey, Gabriela Ciocarlie, Muhammad Ismail, Kyle Saleeby, Securing Smart Manufacturing: Detection of Cyber-Physical Attacks in CNC-Based Systems, 2025 IEEE International Symposium on Hardware Oriented Security and Trust (HOST), pp. 428-438, San Jose, CA, USA, May 2025.
  99. Younsi Sarah, Guedouani Rabea, Nait Seghir Amirouche, Harnessing Deep Learning for Enhanced Energy Consumption Forecasting in smart Home: A comparative Study of MLP and RNN Architectures, 3rd International Conference on Electronics, Energy and Measurement (IC2EM), Algiers, Algeria, May 2025.
  100. Bige Küçükefe, Türkiye'de Sektörlere Göre Enerji Tüketiminin Bulanık Mantık İle Analizi, Hopa Uluslararasi Ekoloji, Ekonomi ve Bölgesel Kalkinma Kongresi (ECOSUS 2025), pp. 181-194, Hopa-Artvin, Turkey, May 2025.
  101. Wen-Ze Wu, Naiming Xie, A novel multivariate nonlinear time-delayed grey model for forecasting electricity consumption, Engineering Applications of Artificial Intelligence, Vol. 149, p. 110452, June 2025.
  102. Ciaran O’Connor, Mohamed Bahloul, Steven Prestwich, Andrea Visentin, A Review of Electricity Price Forecasting Models in the Day-Ahead, Intra-Day, and Balancing Markets, Energies, Vol. 18, Issue 12, p. 3097, June 2025.
  103. Mehmet Ali Arslan, Tarik Talan, Comparative Analysis of Electricity Consumption Forecast, Journal of Innovative Science and Engineering, Vol. 9, Issue 1, pp. 89-102, June 2025.
  104. Simon Elias Bibri, Jeffrey Huang, Artificial Intelligence of Things for Sustainable Smart City Brain and Digital Twin Systems: Pioneering Environmental Synergies between Real-Time Management and Predictive Planning, Environmental Science and Ecotechnology, p. 100591, June 2025.
  105. Snehal Walunj, Parsha Pahlevannejad, Ali Karnoub, Christiane Plociennik, Martin Ruskowski, Context-Aware Worker Assistance System in Augmented Reality using Semantically Zoomable Digital Twin, 2025 IEEE Conference on Cognitive and Computational Aspects of Situation Management, Duisburg, Germany, June 2025.
  106. Aline Cardoso dos Santos, Optimization of register allocation using heuristics and metaheuristics: a comparative study, BSc Thesis, Federal Technological University of Paraná, Pato Branco, Brazil, June 2025.
  107. Md.Kamrul Khan, Bayesian Statistical Models for Predicting Type 2 Diabetes Prevalence in Urban Populations, Review of Applied Science and Technology, Vol. 4, Issue 2, pp. 370-406, June 2025.
  108. Ricardo Ospina, Noboru Noguchi, Real-time work progress estimation based on GIS remote monitoring system for agricultural robot vehicles, Computers and Electronics in Agriculture, Vol. 234, p. 110313, July 2025.
  109. Nor Farizan Zakaria, Mohd Herwan Sulaiman, Zuriani Mustaffa, Feature Optimization with Metaheuristics for Artificial Neural Network-Based Chiller Power Prediction, Journal of Building Engineering, Vol. 105, p. 112561, July 2025.
  110. T. A. Rajaperumal, C. Christopher Columbus, Enhanced wind power forecasting using machine learning, deep learning models and ensemble integration, Scientific Reports, Vol. 15, Issue 1, p. 20572, July 2025.
  111. Beata Bylina, Monika Piekarz, Jarosław Bylina, Time and Energy Consumption of Multithreaded Matrix Factorization Using Various Compilers Optimizations, 25th International Conference on Computational Science, pp. 118-132, Singapore, July 2025.
  112. Tong Chen, Ramit Debnath, The need of explainability in low-carbon urban system design using AI: A systematic review, Machine Learning: Earth, Vol. 1, No. 1, p. 011001, July 2025.
  113. Jesus Daniel Ocaña Velásquez, José Heiner Castro García, Rodolfo Junior Miranda Saldana, Comparative Analysis of Machine Learning and Deep Learning in Mobile Robot Development: A Systematic Review, 23rd LACCEI International Multi-Conference for Engineering, Education and Technology (LACCEI): "Engineering, Artificial Intelligence, and Sustainable Technologies in service of society", Mexico City, Mexico, July 2025.
  114. Zahra Saeedian, A comparative review of electricity load forecasting method across temporal horizons, MSc Thesis, Politecnico di Milano, July 2025.
  115. Chandransh Singh, Sreenu Sreekumar, Tanmoy Malakar, A novel dynamic imbalance volume forecasting model for balancing market optimization, Electrical Engineering, August 2025.
  116. Anas Thamer Mustafa, Omar Sharaf Al-Deen Al-Yozbaky, Forecasting Energy Demand and Generation Using Time Series Models: A Comparative Analysis of Classical, Grey, Fuzzy, and Intelligent Approaches, Franklin Open, p. 100350, August 2025.
  117. Dipti Jaiswal, Abha Choubey, Siddhartha Choubey, Vishnu Sharma, Manuraj Jaiswal, The Frontier of Geospatial AI Deep Learning Applications in Data Mining and Spatial Analysis, Recent Advances in Artificial Intelligence and Smart Applications, pp. 237–249, August 2025.
  118. Mohammed Bakr Sikal, Cache Contention-Aware System-Level Resource Optimization on Clustered Multicores using Machine Learning, PhD Thesis, Karlsruhe Institute of Technology, Germany, August 2025.
  119. Uddin Forkan, Adnan Sami Sarker, Amortya Ghosh, Hrittik Mural, Tohidul Islam Khan, Ishanur Rahman, A Machine Learning Approach to Electricity Usage and Billing Trends in Chittagong: Population Dynamics, Industrial Expansion, and Sustainable Energy Planning, IEEE International Conference on Quantum Photonics, Artificial Intelligence & Networking, Rangpur, Bangladesh, August 2025.
  120. Aisha Al-Dahhan, Aseel Hussien, Thar Baker, Zaher AL Aghbari, IntEnergy: an efficient federated learning model for energy consumption forecasting in smart homes, Discover Internet of Things, Vol. 5, p. 93, September 2025.
  121. Victor Rodriguez-Bahena, Luis Pizano-Escalante, Omar Longoria-Gandara, Luis F. Gutierrez-Preciado, Optimizing Pre-Silicon CPU Validation: Reducing Simulation Time with Unsupervised Machine Learning and Statistical Analysis, Computers, Vol. 14, Issue 9, p. 364, September 2025.
  122. Xinqiang Chen, Qianli Ma, Huafeng Wu, Wen-Long Shang, Bing Han, Salvatore Antonio Biancardo, Autonomous port traffic safety orientated vehicle kinematic information exploitation via port-like videos, Transportation Safety and Environment, September 2025.
  123. Marat Nurtas, Aizhan Altaibek, Aizhan Ydyrys, Andrey Vilayev, Takhmina Nessipbay, Development of a Long Short-Term Memory (LSTM)-Based Statistical Model for Earthquake Forecasting in Central Asia, IEEE Access, September 2025.
  124. Omid Pedram, Ana Soares, Pedro Moura, A Review of Methodologies for Photovoltaic Energy Generation Forecasting in the Building Sector, Energies, Vol. 18, Issue 18, p. 5007, September 2025.
  125. Soham Navale, Nivedita Mishra, Sheetal Borhade, Deep learning approaches for energy consumption forecasting: analyzing stress factors and optimizing models for future demand, Discover Applied Sciences, Vol. 7, p. 1092, September 2025.
  126. Zheng Yifan, Cao Rui, Liu Chaohui, Liu Qixing, Luo Zixuan, Yang Dong, Zhang Kun, Zhou Sida, Yang Shichun, Enhancing storage efficiency for cloud-based vehicle data based on advanced lossless compression algorithm, Expert Systems with Applications, p. 129917, September 2025.
  127. Karl Christian Lossie, Decision model for performance-driven prioritization of operational decisions on the manufacturing shop floor, PhD Thesis, Rheinisch-Westfälische Technische Hochschule Aachen, Germany, September 2025.
  128. Shagnik Pal, Jeeho Ryoo, Lizy K. John, The Curious Case of Global Stable Loads, 2025 IEEE International Symposium on Workload Characterization, Irvine, USA, October 2025.
  129. R. Manimegalai, S. V. Riyaayini, Optimizing Compiler Efficiency: A Comparative Study of Parallelization Frameworks for Register Allocation, Smart System for Integrated Computing and Communication, Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, Vol. 643, pp. pp 135-149, October 2025.
  130. K. Rani, Vasam Praveen, Anupam Gupta, Akhila Timmasarti, Power consumption prediction using machine learning, International Conference on Manufacturing, Material Science and Engineering (ICMMSE2024), Nalgonda, India, August 2024, Published in AIP Conference Proceedings, Vol. 3325, Issue 1, October 2025.
  131. Amina Salhi, Fahad Algarni, Rayan Alshamrani, Ashrf Althbiti, Atef Ismail, Basma M. Hassan, Leveraging artificial intelligence to enable sustainable urban development through the creation of smart and environmentally friendly carbon-free cities, Scientific Reports, Vol. 15, p. 35791, October 2025.
  132. Beemkumar Nagappan, Jaymeel Shah, Manali Gupta, Anupam Kumari, B. P. Singh, Satish Upadhyay, Empowering smart cities: deep learning for seamless integration of energy storage systems and renewable sources, Environment Development and Sustainability, October 2025.
  133. Jason Brent Smith, Annie Chu, Noel Alben, Shi Ding, Kevin Gautier, Stephen Garrett, Brian Magerko, Jason Freeman, Bryan Pardo, Stephanie Ludi, Taneisha Lee, Tom McKlin, Using Co-Design to Investigate Affordances of an Expressive CS Learning Environment for Students who are BVI, The 27th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS 2025), p. 150, Denver, Colorado, USA, October 2025.
  134. Fulong Yang, Feng Wu, Jinjin Zhou, Qing Yang, Teng Zhang, Mengyao Cui, A Steady-State Temperature Solving Method for Multi-Chip Modules Components Based on an Improved U-Net, Microelectronics Journal, p. 106940, October 2025.
  135. Raghad H. AlShekh,Shefa A. Dawwd, Farah N. Qassabbashi, Comparative Review of Multicore Architectures: Intel, AMD, and ARM in the Modern Computing Era, Chips, Vol. 4, Issue 4, p. 44, October 2025.
  136. Iyan Andriana, Henny Henny, Reynaldi Gunawan, Fatimah Zahra Afiff, Marketing Strategy Selection System Based on Purchasing Decisions at Company X, The 8th International Conference on Informatics, Engineering, Science & Technology (INCITEST 2025), Bandung, Indonesia, October 2025.
  137. Bruno Rodrigo Faria Gonçalves Rocha, Development of an e-learning platform: application to sleep medicine, MSc Thesis, University of Madeira, Portugal, October 2025.
  138. Khadija Bouyakhsaine, Abderrahim Brakez, Mohcine Draou, Khalid Addi, Day-ahead residential power load forecasting using adaptive online learning and Particle Swarm Optimization, Advanced Engineering Informatics, Volume 68, Part C, p. 103754, November 2025.
  139. Ahmet Sabri Öğütlü, National-Scale Electricity Consumption Forecasting in Turkey Using Ensemble Machine Learning Models: An Interpretability-Centered Approach, Sustainability, Vol. 17, Issue 21, p. 9829, November 2025.
  140. N. Bazhayev, A. Shaikhanova, D. Satybaldina, K. Bakenova, Intelligent Method of Continuous Security Monitoring in IEEE 802.15.4 Networks Based on Adaptive Anomaly Analysis, Bulletin of Shakarim University, Technical Sciences, No. 3(19), pp. 127-134, November 2025.
  141. Hui Li, Huiming Duan, Yuxin Song, Forecasting Electricity Production, Consumption, and Price: Three Novel Fractional Grey Models of a Complex System, Fractal and Fractional, Vol. 9, Issue 12, p. 758, November 2025.
  142. Olimpiu Nicolae Moga, Adrian Florea, Claudiu Solea, Maria Vintan, Reinforcement Learning-Based Energy Management in Community Microgrids: A Comparative Study, Sustainability, Vol. 17, Issue 23, p. 10696, November 2025.
  143. Yabani Gelwasa Galadima, Paul K. Olulope, Samuel O. Oladimeji, Isaac O. Yusuf, Hashim Attahir, Joseph F. Kayode, Muhammad Ismail Mungadi, Bamgbola O. Abolarinwa, A Review of Voltage Stability Issues and Machine Learning in Nigeria Power Network, Journal of Science & Technology Research, Vol. 7, No. 1, pp. 1857-1864, November 2025.
  144. Mingyue Weng, Huiming Duan, Derong Xie, Forecasting power generation: A novel two-dimensional logistic fractional grey model, Engineering Applications of Artificial Intelligence, Vol. 161, Part A, p. 112097, December 2025.
  145. Simon Elias Bibri, Generative AI and Generative AI of Things for Sustainable Smart Cities: Pioneering Environmental Innovations, Climate Solutions, and Infrastructural Transformations, Taylor and Francis, 1st Edition, December 2025.
  146. Harendra Kumar Yadav, Somyajit Chakraborty, Mohan Narayan Gupta, Anurag Bhattacharjee, Siddhita Yadav, Aaditya Pratap Sanyal, Jahar Sarkar, Arnab Sarkar, Enhancing wind energy forecasting in India: A site-specific comparative analysis of machine learning models and Weibull statistics using long-term data, Sustainable Energy Technologies and Assessments, Vol. 84, p. 104735, December 2025.
  147. Moon Keun Kim, Bart Cremers, Jiying Liu, Analysing the Impact of Data Normalization on Levenberg-Marquardt Backpropagation (LMBP) Neural Network Predictions for Indoor Air Quality, E3S Web of Conferences, Vol. 672, p. 07008, December 2025.
  148. Galina Ilieva, Tania Yankova, Peyo Staribratov, Galina Ruseva, Yuliy Iliev, Industrial Digitalization: Systematic Literature Review and Bibliometric Analysis, Information, Vol. 16, Issue 12, p. 1080, December 2025.
  149. Kholiavka Yevhen Petrovych, Models and methods of information technology for assessing the state of microgrids with renewable energy sources, PhD Thesis, Sumy State University, Ukraine, 2025.
  150. Ivonne Nuñez, Carlos Rovetto, Edmanuel Cruz, Dimas Concepcion, Elia Esther Cano, A Mobile Architecture to Manage Residential Electricity Consumption Using IoT-Based Smart Plugs and Machine Learning Algorithms, Computación y Sistemas, Vol. 29, No. 2, pp. 731-752, 2025.
  151. Sina Nabi Ghadim, Kazem Zare, Ali Aminloo, Energy conversion in smart microgrid applications, Comprehensive Energy Systems, Elsevier, pp. 848-875, 2025.
  152. Borong Lin, Nanlin Jin, John R. Woodward, A dynamic routing algorithm of CapsNet for drift prognosis, Expert Systems with Applications, Vol. 296, Part A, p. 128925, January 2026.
  153. Qiang Qin, Zhihao Liu, Ruirui Zhong, Xi Vincent Wang, Lihui Wang, Magnus Wiktorsson, Wei Wang, Robot digital twin systems in manufacturing: Technologies, applications, trends and challenges, Robotics and Computer-Integrated Manufacturing, Vol. 97, p. 103103, February 2026.
 
 

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