Departamentul de Calculatoare şi Inginerie Electrică
Facultatea de Inginerie
Universitatea "Lucian Blaga" din Sibiu
ro
 
     
 
Conf. 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: BSc, 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. Lucian VINŢAN;
  • 2002-2003: MSc (studii aprofundate), 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. Lucian VINŢAN;
  • 2004-2008: Doctorat în Ştiinţa Calculatoarelor cu distincţia CUM LAUDE, 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).
2 - Limbi cunoscute

  • Maghiară (C2, limba maternă, Diplomă de Bacalaureat);
  • Română (C2, Diplomă de Bacalaureat);
  • Engleză (B2, 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, sisteme inteligente de gestiune a energiei electrice);
  • Fabrici inteligente (sisteme de asamblare inteligente, stații de antrenare adaptive);
  • Web mining (preîncărcarea paginilor web, predicţia paginilor web);
  • Procesarea imaginilor (filtrarea zgomotului, recunoaştere de tipare, restaurarea imaginilor);
  • 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-prezent: conferențiar universitar, Universitatea “Lucian Blaga” din Sibiu, Facultatea de Inginerie, Departamentul de Calculatoare şi Inginerie Electrică, disciplinele: Analiza şi proiectarea algoritmilor; Programare în limbaj de asamblare; Grafică asistată de calculator; Algoritmi paraleli şi distribuiţi; Sisteme de operare; Procesarea imaginilor şi computer vision; Modelarea aplicaţiilor software; Research methods in advanced computing architectures; Embedded computing.
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. Lucian Vinţan (2004-2019), prof. dr. ing. Remus Brad (2019-prezent);
  • 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 60 de articole publicate în reviste şi conferinţe de prestigiu internaţional, citate în peste 300 de lucrări ştiinţifice;
  • 9 proiecte (directorul unui grant de cercetare CNCSIS, responsabilul unui proiect de cercetare internaţional desfăşurat la Politecnico di Milano şi membru în alte 7 proiecte);
  • Recenzor ştiinţific la conferinţe internaţionale: Euro-Par 2005, CF 2006, ACSAC 2007, Euro-Par 2007, ACSAC 2008, ARCS 2010, RoEduNet 2010, SAMOS 2010, CBP-3, ICSTCC 2011, HPCA 2012, ARCS 2012, EDCC 2012, NDT 2012, FGCT 2012, ARCS 2013, INTECH 2013, ICNVICT 2013, ICADIWT 2014, ICSTCC 2014, INTECH 2014, ICADIWT 2015, DATE 2015, NDT 2015, NVICT 2015, IPDPS 2015, INTECH 2015, ICSTCC 2015, ICDIM 2015, ARCS 2016, ICDIM 2016, ICSTCC 2017, ICDIM 2017, ICDIM 2018, ICIMP 2019, ICDIM 2019, ICCCC 2020, FSDM 2020 etc.;
  • Recenzor ştiinţific la reviste internaţionale: Education Research Journal 2012, Computer Science and Engineering from Scientific & Academic Publishing 2013, Applied Bionics and Biomechanics 2013, Journal of Digital Information Management 2014-2018, Microprocessors and Microsystems 2014-2015, International Journal of Engineering and Technology Innovation 2015, IET Image Processing 2016, Geographical Analysis 2017, Wireless Communications and Mobile Computing 2017, Journal of e-Technology 2017-2018, IEEE Access 2018-2019, Engineering Science and Technology 2019, Intelligent Automation and Soft Computing 2019-2020, International Energy Journal 2019, Information 2019, Higher Education Pedagogies 2020, Studies in Informatics and Control 2020, Concurrency and Computation: Practice and Experience 2020;
  • 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;
  • 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 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, drd. Claudiu-Raul Buduleci, drd. Teodora Vasilaș, drd. Ștefan Repede; conducător prof. dr. ing. Constantin-Bala Zamfirescu: drd. Andrei Iulian Tara, drd. Alexandru Matei).
6 - Mobilități

  • Participant la ACACES 2005 (First International Summer School on Advanced Computer Architecture and Compilation for Embedded Systems), L´Aquila, Italia, Iulie 2005 - grant suportat de HiPEAC;
  • Stagiu de cercetare de cinci săptămâni (martie - aprilie 2006) la Universitat Politècnica de Catalunya, Barcelona, Spania - cercetare realizată prin proiectul HPC-EUROPA (RII3-CT-2003-506079) din cadrul programului FP6 "Structuring the European Research Area", cu suportul Comunităţii Europene (Research Infrastructure Action);
  • Participant la ACACES 2006 (Second International Summer School on Advanced Computer Architecture and Compilation for Embedded Systems), L´Aquila, Italia, Iulie 2006 - grant HiPEAC;
  • Stagiu de cercetare de patru săptămâni (iunie - iulie 2009) la Politecnico di Milano, Italia, în cadrul proiectului FP7 MULTICUBE;
  • 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;
  • Mobilitate Erasmus+ de tip STA de 5 zile în septembrie 2021 la Universitatea din Szeged, Ungaria;
  • Mobilitate CEEPUS de 5 zile in martie 2022 la Universitatea din Szeged, 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.
8 - Publicaţii

  1. 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 Thomson Journals IF=8.993), DOI 10.1002/int.22942, pp. 8348-8364, November 2022.
  2. 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, DOI 10.3390/math10152725, p. 2725, August 2022.
  3. 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 Thomson journals IF=3.367), DOI 10.1109/ACCESS.2022.3185763, pp. 68416-68428, June 2022.
  4. 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, Sinaia, May 2022.
  5. 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 Thomson Journals IF=2.474, Scopus), DOI 10.3390/app12030985, p. 985, Switzerland, February 2022.
  6. 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 Thomson Journals IF=3.275, Scopus, DBLP), DOI 10.3390/s22020495, p. 495, January 2022.
  7. 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 Thomson Journals IF=7.587, Scopus), January 2022.
  8. 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.
  9. 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.
  10. 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.
  11. 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 DBLP, Scopus), pp. 140-152, Springer, Cham, 2021.
  12. 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 Thomson Journals IF=0.617, DBLP), pp. 1279-1296, Denmark, July 2021.
  13. 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 Thomson Journals IF=3.275, Scopus, DBLP), DOI 10.3390/s21113580, p. 3580, May 2021.
  14. 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.
  15. 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 Thomson Journals IF=2.474, Scopus), DOI 10.3390/app11073278, p. 3278, Switzerland, April 2021.
  16. 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.
  17. Arpad Gellert, Remus Brad, Image Inpainting with Markov Chains, Signal, Image and Video Processing, Vol. 14, Issue 7, ISSN 1863-1703 (ISI Thomson Journals IF=1.794, Scopus, DBLP), DOI 10.1007/s11760-020-01675-7, pp. 1335-1343, October 2020.
  18. 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), ISBN 978-1-7281-8957-4 (indexed ISI, DBLP, Scopus), DOI 10.1109/ETFA46521.2020.9212170, pp. 1065-1068, Vienna, Austria, September 2020.
  19. 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), DOI: 10.1080/12460125.2020.1788798, pp. 63-70, July 2020.
  20. 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, ISBN 978-9-078-42700-1, pp. 11-14, Fiuggi, Italy, July 2020.
  21. 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, pp. 3084-3093, Palma de Mallorca, Spain, July 2020.
  22. 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.
  23. Árpád GellértAnaliza şi proiectarea algoritmilor: o abordare pragmatică prin aplicaţii Java, Ediția a 2-a, Editura Techno Media, ISBN 978-606-616-360-6, 2019.
  24. 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 Thomson Journals IF=5.063, Scopus, DBLP), Vol. 49, pp. 546-556, December 2019.
  25. 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 Thomson Journals IF=0.259, Scopus), pp. 215-227, November 2019.
  26. Gellért Árpád, Modern számítógépek: múlt, jelen és jövő, Nagyszeben és vidéke, XXI. évfolyam, 84. szám, 2019/1.
  27. 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 Thomson Journals IF=5.910, Scopus, DBLP, EBSCO), DOI 10.1016/j.ins.2018.03.029, pp. 375-391, February 2019.
  28. 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 Thomson Journals IF=1.752, Scopus), pp. 597-604, November 2018.
  29. 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), pp. 115-123, October 2018.
  30. 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 Thomson Journals IF=1.102, Scopus, DBLP), DOI 10.1007/s11760-017-1160-1, pp. 315-322, February 2018.
  31. 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.
  32. 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 Thomson Journals IF=0.622, Scopus, DBLP), pp. 524-536, USA, September 2017.
  33. 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.
  34. Arpad Gellert, Adrian Florea, Web Prefetching through Efficient Prediction by Partial Matching, World Wide Web Journal, Vol. 19, Issue 5, ISSN 1386-145X (ISI Thomson Journals IF=1.405, DBLP, Scopus, EBSCO, ACM Digital Library), DOI 10.1007/s11280-015-0367-8, pp. 921-932, USA, September 2016.
  35. Arpad Gellert, Remus Brad, Context-Based Prediction Filtering of Impulse Noise Images, IET Image Processing, Vol. 10, Issue 6, ISSN 1751-9659 (ISI Thomson Journals IF=1.044, DBLP, Scopus, EBSCO, IEEE Xplore), DOI 10.1049/iet-ipr.2015.0702, pp. 429-437, Stevenage, United Kingdom, June 2016.
  36. 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.
  37. 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.
  38. 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 Thomson Journals IF=0.361, Scopus, DBLP), pp. 507-524, USA, November 2014.
  39. 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 (Scopus, IEEE Xplore), Sinaia, October 2014.
  40. 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.
  41. 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.
  42. 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.
  43. 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.
  44. 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 Thomson Journals IF=0.284, Scopus, DBLP, EBSCO), pp. 205-213, Stevenage, United Kingdom, July 2012.
  45. 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.
  46. 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.
  47. 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.
  48. Árpád Gellért, Analiza şi proiectarea algoritmilor: o abordare pragmatică prin aplicaţii Java, Editura Techno Media, ISBN 978-606-8030-81-4, 2010.
  49. 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.
  50. Árpád Gellért, Rodica Baciu, Programare în limbaj de asamblare: îndrumar de laborator, Editura Techno Media, ISBN 978-606-8030-79-1, 2010.
  51. 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.
  52. 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 90 382 1467 2, Terrassa, Spain, 2009.
  53. 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 Thomson Journals IF=0.722, Scopus, DBLP, ACM Digital Library, EBSCO), pp. 188-195, The Netherlands, 2009.
  54. 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 Thomson Journals IF=0.373, Scopus), pp. 27-40, 2009.
  55. Árpád Gellért, Beyond the Limits of Modern Processors, Matrix Rom Publishing House, ISBN 978-973-755-426-0, Bucharest, 2008.
  56. Árpád Gellért, Advanced Prediction Methods Integrated Into Speculative Computer Architectures, PhD Thesis, Computer Science Department, “Lucian Blaga” University of Sibiu, November 2008.
  57. 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 Thomson Journals, Scopus), 2008.
  58. 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), Cluj-Napoca, November 2008.
  59. Arpad Gellert, Developing and Improving the Performances of Some Predictive Architectures, Third PhD Report, Computer Science Department, "Lucian Blaga" University of Sibiu, April 2008.
  60. 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.
  61. 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.
  62. 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.
  63. 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.
  64. 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.
  65. 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.
  66. 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 Thomson Journals IF=0.402, Scopus, DBLP, ACM Digital Library), pp. 480-487, Shanghai, China, September 2006.
  67. 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.
  68. 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.
  69. 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.
  70. 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.
  71. Arpad Gellert, Prediction Methods Integrated Into Advanced Architectures, First PhD Report, Computer Science Department, "Lucian Blaga" University of Sibiu, January 2006.
  72. 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 Thomson Journals IF=0.533, Scopus, EBSCO), pp. 473-481, Stevenage, United Kingdom, July 2005.
  73. 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.
  74. 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.
  75. 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.
  76. 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.
  77. 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.
  78. 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.
  79. 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.
  80. 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.
  81. 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.
  82. 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.
  83. 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. Director, Modelarea proceselor de asamblare asistată a produselor prin metode de inteligență artificială, Grant LBUS-IRG-2021-07, 2021-2024.
  2. Membru (director Constantin-Bala Zamfirescu), Ingineria învățării automate în Digital Twin, Grant LBUS-HPI-ERG-2020-03, 2021-2023.
  3. Director, Modelare și estimare prin metode avansate de predicție, Grant LBUS-IRG-2020-06, 2020-2023.
  4. Director, Tehnici de predicție a consumului și a producției de energie electrică în clădiri, Grant LBUS-IRG-2019-05, 2019-2022.
  5. 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.
  6. Director, Metode de anticipare statistice în sisteme de gestiune a energiei electrice, Grant LBUS-IRG-2018-04, 2018-2020.
  7. 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.
  8. 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.
  9. Membru (director Koen de Boschere Ghent Univ., Belgium), High Performance and Embedded Architecture and Compilation (HiPEAC), FP7 project no. 287759, 2012-2015.
  10. 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.
  11. 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.
  12. Director, Metode avansate de predicţie integrate în arhitecturi cu procesări speculative, Grant CNCSIS tip TD, cod 248, 2007/2008.
  13. Membru (director Lucian Vinţan), Microarhitectură superscalară avansată cu procesări paralele şi predictiv-speculative, Grant CNCSIS tip A, cod 39, 2007/2008.
  14. 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.
  15. Membru (director Lucian Vinţan), Îmbunătăţiri ale paradigmei arhitecturilor superscalare prin reutilizarea şi predicţia valorilor instrucţiunilor, Grant CNCSIS cod 71/2004 - 2006.
10 - Citări

      Citările 1-150 din perioada 2002-2016 sunt disponibile aici: http://webspace.ulbsibiu.ro/arpad.gellert/html/Publications.pdf

  1. Yuancheng Li, Bin Liu, Survey of implicit thread-level speculation parallel technology for irregular serial programs, Journal of Xi'an Institute of Posts and Telecommunications, Vol. 22, No. 1, pp. 99-105, January 2017.
  2. Sparsh Mittal, A Survey of Value Prediction Techniques for Leveraging Value Locality, Concurrency and Computation: Practice and Experience, DOI: 10.1002/cpe, First online: January 2017. 
  3. Chithra D. Gracia, S. Sudha, Adaptive Clustering of Embedded Multiple Web Objects for Efficient Group Prefetching, Arabian Journal for Science and Engineering, Springer, Vol. 42, Issue 2, pp. 715-724, February 2017.
  4. Neda Kaffash‐Charandabi, Ali-Asghar Alesheikh, Context inference and prediction modeling in ubiquitous health GIS, Transactions in GIS, John Wiley & Sons Ltd, February 2017.
  5. Luan Lam, Antony Tang, John Grundy, Predicting Indoor Spatial Movement Using Data Mining and Movement Patterns, The 4th IEEE International Conference on Big Data and Smart Computing (BigComp 2017), Jeju, Korea, February 2017.
  6. Σχίζας Β. Νικόλας, A Framework For Modelling Computational Sprinting With Phase Change Materials, BSc Thesis, National Technical University of Athens, Greece, February 2017.
  7. Darine Ameyed, Modélisation et spécification formelle de contexte et sa prédiction dans les systèmes diffus: Une approche basée sur la logique temporelle et le modèle stochastique, PhD Thesis, Université du Québec, Montréal, February 2017.
  8. Predrag Pecev, Miloš Racković, LTR-MDTS structure – a structure for multiple dependent time series prediction, Computer Science and Information Systems, DOI 10.2298/CSIS150815004P, 2017.
  9. Ciprian-Bogdan Chirila, Auto-Generative Learning Objects in Online Assessment of Data Structures Disciplines, Broad Research in Artificial Intelligence and Neuroscience, Vol. 8, Issue 1, pp. 24-34, April 2017.
  10. G. Poornalatha, Sharma Chethan, Raghavendra Prakash, Prediction model for prefetching web page based on the usage pattern, International Journal of Control Theory and Applications, Vol. 10, No. 14, pp. 39-47, 2017.
  11. Ciprian-Bogdan Chirila, Remy Raes, Generic online algorithm interpreter with dynamic data visualizations - case study on sorting algorithms, The 13th International Scientific Conference eLearning and Software for Education (eLSE 2017), Vol. 2, pp. 262-267, Bucharest, April 2017.
  12. Ciprian-Bogdan Chirila, Towards the Enhancement of AGLOs with SCORM and xAPI, The 13th International Scientific Conference eLearning and Software for Education (eLSE 2017), Vol. 2, pp. 268-274, Bucharest, April 2017.
  13. Adrian Florea, Teaching the microprocessors systems focused on societal challenges: designing of performant cache replacement algorithms as green information technology (IT) solution, Journal of Digital Information Management, Vol. 15, Number 2, pp. 50-65, April 2017.
  14. Haider Hasan Mshali, Context-aware e-health services in smart spaces, PhD Thesis, University of Bordeaux, France, April 2017.
  15. Gulsher Baloch, Huseyin Ozkaramanli, Image denoising via correlation-based sparse representation, Signal, Image and Video Processing, DOI 10.1007/s11760-017-1113-8, First online: May 2017.
  16. Rawia Ibrahim Omer Ahmed, Offline Recognition System for Isolated Arabic Handwritten Characters using Hidden Markov Models, PhD Thesis, Sudan University of Science and Technology, May 2017.
  17. Sebastien Hoarau, Ludification pour la motivation en apprentissage de la programmation, Computer Science and Mathematics Laboratory, Université de La Réunion, Saint-Denis, France, June 2017.
  18. T.T. Adelaja, S.O. Akinola, An Enhanced Web Page Recommendation System Using Hidden Markov Model and Page Rank Technique, Journal of Science and Logics in ICT Research, Vol. 1, pp. 57-63, June 2017.
  19. Ning Xie, Kyle Brown, Nathan Rude, Derek Doran, A Soft Computing Prefetcher to Mitigate Cache Degradation by Web Robots, 14th International Symposium on Neural Networks (Hokkaido, Japan, June 2017), published in Lecture Notes in Computer Science, Advances in Neural Networks, Vol. 10261, pp. 536-546, 2017.
  20. Carmen Cheh, Binbin Chen, William G. Temple, William H. Sanders, Data-Driven Model-Based Detection of Malicious Insiders via Physical Access Logs, 14thInternational Conference on Quantitative Evaluation of Systems, Berlin, Germany, September 2017.
  21. Mayank Tiwari, Gupta Bhupendra, Maximum Absolute Relative Differences Statistic for Removing Random-Valued Impulse Noise from Given Image, Circuits Systems and Signal Processing, DOI 10.1007/s00034-017-0655-x, First online: September 2017.
  22. Immanuel König, An algorithmic approach to increase the context prediction accuracy by utilizing multiple context sources, PhD Thesis, University of Kassel, Germany, September, 2017.
  23. Antonios Karatzoglou, Harun Sentürk, Adrian Jablonski, Michael Beigl, Applying Artificial Neural Networks on Two-Layer Semantic Trajectories for Predicting the Next Semantic Location, Lecture Notes in Computer Science, Artificial Neural Networks and Machine Learning, Vol. 10614, pp. 233-241, Springer, First online: October 2017.
  24. Abdulrahman Al-Molegi, Antoni Martínez Ballesté, Mohammed Jabreel, Geo-Temporal Recurrent Model for Location Prediction, 20th International Conference of the Catalan Association for Artificial Intelligence, Deltebre, Catalonia, Spain, October 2017.
  25. Uğur Erkan, Levent Gökrem, A new method based on pixel density in salt and pepper noise removal, Turkish Journal of Electrical Engineering & Computer Sciences, DOI 10.3906/elk-1705-256, First online: November 2017.
  26. Isidoros Sideris, Daren Croxford, Andrew Burdass, Power saving by reusing results of identical micro-operations, US Patent No. US9817466B2,  https://www.google.com/patents/US9817466, November 2017.
  27. Rima Alaaeddine, Song Wu, Application of supervised learning methods to better predict building energy performance, The First International Conference on Sustainable Futures 2017, Sitra, Bahrain, November 2017.
  28. Thangaraj Veerakumar, Badri Narayan Subudhi, Sankaralingam Esakkirajan, Prasanta Kumar Pradhan, Context Model Based Edge Preservation Filter for Impulse Noise Removal, Expert Systems With Applications, Vol. 88, Issue C, pp. 29-44, December 2017.
  29. Zubaida Rehman, Survey – Branch Prediction Techniques, Research Journal of Innovative Ideas and Thoughts, Vol. 5, Issue 2, pp. 47-58, December 2017.
  30. Lucian Vintan, Towards Synergic Meta-Algorithmic Approaches in Complex Computing Systems, Romanian Journal of Information Science and Technology, Vol. 20, No. 3, pp. 241-255, 2017.
  31. Kazakov Danil Igorevitch, On recommending task tags in online project management service (in Russian language), Technical Report, Saint Petersburg University, Russia, 2017.
  32. Hengfei Fan, Wenbin Yao, A Trajectory Prediction Method with Sparsity Data, 15th IEEE International Symposium on Parallel and Distributed Processing with Applications and 16th IEEE International Conference on Ubiquitous Computing and Communications (ISPA/IUCC), Guangzhou, China, December 2017.
  33. Adrian Jablonski, Artificial Neural Networks for Semantic Location Prediction, Karlsruhe Reports in Informatics, Vol. 4, pp. 135-156, 2017.
  34. Payam Sanaee, Payman Moallem, Farbod Razzazi, A structural post-processing method for enhancing intensity restoration of low-density impulse-noise for decision based filters, Journal of Visual Communication and Image Representation, First online: January 2018.
  35. Payam Sanaee, Payman Moallem, Farbod Razzazi, A structural refinement method based on image gradient for improving performance of noise-restoration stage in decision based filters, Digital Signal Processing, First online: January 2018.
  36. Radu Chis, Adrian Florea, Claudiu Buduleci, Lucian Vintan, Multi-Objective Optimization for an Enhanced Multicore Sniper Simulator, Proceedings of the Romanian Academy, Series A, Vol. 19, Issue 1, pp. 85-93, January 2018.
  37. Abubaker Mohamed Elbayoudi, Trend Analysis for Human Activities Recognition, PhD Thesis, Nottingham Trent University, UK, January 2018.
  38. Peter Carmichael, Charles Morisset, Learning Decision Trees from Synthetic Data Models for Human Security Behaviour, 15th International Conference on Software Engineering and Formal Methods, pp. 56-71, Trento, Italy, September 2017, Published in Lecture Notes in Computer Science, Vol. 10729, Springer, Cham, First online: February 2018.
  39. Seungkyu Hong, Kyusik Kim, Taeseok Kim, A prefetching scheme for improving the web page loading time with NVRAM, Journal of Semiconductor Technology and Science, Vol. 18, No. 1, pp. 20-28, February 2018.
  40. Atef Zaguia, A Survey of Mobility Prediction in Ubiquitous Computing, International Journal of Computer Science & Engineering Technology, Vol. 9, No. 2, pp. 8-12, March 2018. 
  41. Isidoros Sideris, Daren Croxford, Andrew Burdass, Reuse of results of back-to-back micro-operations, US Patent No. US9933841B2, https://patents.google.com/patent/US9933841B2, April 2018.
  42. Zaineb Liouane, Services E-santé Basés sur la reconnaissance et la prédiction des activités quotidiennes dans les espaces intelligents, Thèse de doctorat, École Nationale d’Ingénieurs de Monastir, Avril 2018.
  43. Payam Sanaee, Payman Moallem, Farbod Razzazi, Structure-Based Interpolation Method for Restoring the Intensity of Low Density Impulse Noise, IET Image Processing, Vol. 12, Issue 9, August 2018.
  44. Atef Zaguia, Darine Ameyed, Djamel Guessoum, Adel Mahfoudhi, Roobaea Alrobaea, Mobility Prediction in Pervasive Context-Awareness System, International Journal of Applied Engineering Research, Volume 13, Number 9, pp. 6594-6607, May 2018.
  45. Abdulrahman Al-Molegi, Antoni Martínez-Ballesté, Izzat Alsmadi, Regions-of-interest discovering and predicting in smartphone environments, Pervasive and Mobile Computing, DOI: 10.1016/j.pmcj.2018.05.001, First online: May 2018.
  46. Mingming Chen, Chen Tang, Junjiang Zhang, Zhenkun Lei, Image decomposition and denoising based on Shearlet and nonlocal data fidelity term, Signal, Image and Video Processing, DOI 10.1007/s11760-018-1296-7, First online: May 2018.
  47. Abdulrahman Al-Molegi, Antoni Martínez-Ballesté, Mohammed Jabreel, Move, Attend and Predict: An Attention-based Neural Model for People’s Movement Prediction, Pattern Recognition Letters, Elsevier, DOI 10.1016/j.patrec.2018.05.015, First online: May 2018.
  48. Anuj Pathania, Scalable Task Schedulers for Many-Core Architectures, PhD Thesis, DOI 10.5445/IR/1000082991, Karlsruher Institute of Technology, Germany, May 2018.
  49. Taner Eşme, Software Engineering for Message Passing Parallel Clusters, Boğaziçi University, Istanbul, Turkey, May 2018.
  50. Karen Panetta, Long Bao, Sos Agaian, A New Unified Impulse Noise Removal Algorithm Using a new Reference Sequence-to-Sequence Similarity Detector, IEEE Access, DOI 10.1109/ACCESS.2018.2850518, First online: June 2018.
  51. Niek Tax, Human Activity Prediction in Smart Home Environments with LSTM Neural Networks, 14th International Conference on Intelligent Environments, Rome, Italy, June 2018.
  52. K. Shyamala, S. Kalaivani, Application of Monte Carlo Search for Performance Improvement of Web Page Prediction, International Journal of Engineering & Technology, Vol. 7, No. 3.4, pp. 133-137, June 2018.
  53. Haider Mshali, Tayeb Lemlouma, Maria Moloney, Damien Magoni, A survey on health monitoring systems for health smart homes, International Journal of Industrial Ergonomics, Elsevier, Vol. 66, pp. 26-56, July 2018.
  54. Dongbiao He, Cedric Westphal, J.J. Garcia-Luna-Aceves, Network Support for AR/VR and Immersive Video Application: A Survey, Proceedings of the 15th International Joint Conference on e-Business and Telecommunications, Porto, Portugal, July 2018.
  55. Kasim Oztoprak, Mobile Subscriber Profiling and Personal Service Generation using Location Awareness, Advances in Electrical and Computer Engineering, Vol. 18, Issue 3, pp. 105-112, August 2018.
  56. Anuj Pathania, Jörg Henkel, HotSniper: Sniper-Based Toolchain for Many-Core Thermal Simulations in Open Systems, IEEE Embedded Systems Letters, August 2018.
  57. Konstantinos N. Vavliakis, Maria Th. Kotouza, Andreas L. Symeonidis, Pericles A. Mitkas, Recommendation Systems in a Conversational Web, Proceedings of the 14th International Conference on Web Information Systems and Technologies (WEBIST 2018), pp. 68-77, Sevilla, Spain, September 2018.
  58. Flávia Casagrande, Jim Tørresen, Evi Zouganeli, Sensor Event Prediction using Recurrent Neural Network in Smart Homes for Older Adults, 2018 International Conference on Intelligent Systems, Funchal, Portugal, September 2018.
  59. Abdulrahman Al-Molegi, Antoni Martínez Ballesté, The Effect of Space-Time Representation Learning in Predicting People’s Next Location, 21st International Conference of the Catalan Association for Artificial Intelligence, Roses, Catalonia, Spain, October 2018.
  60. Sina Shafaei, Fabian Müller, Tim Salzmann, Morteza Hashemi Farzaneh, Stefan Kugele, Alois Knoll, Context Prediction Architectures in Next Generation of Intelligent Cars, 21st IEEE International Conference on Intelligent Transportation Systems, Maui, Hawaii, USA, November 2018.
  61. Md. Abdul Matin, Sha Soultan Md. Oliullah, Md. Masbaul Alam Polash, Implementation of a Customizable Algorithm Visualization Tool for E-Learning, 2nd International Conference on Education and E-Learning, pp. 32-36, Bali, Indonesia, November 2018.
  62. Jaime Duque Domingo, Integración de cámaras de rango y redes inalámbricas para la localización de personas en entornos estructurados, PhD Thesis, Spain, 2018.
  63. Ali Akkaya, The effects of serious games on students` conceptual knowledge of object-oriented programming and computational thinking skills, MSc Thesis, Boğaziçi University, 2018.
  64. Soukaina Moujtahid, Abdessamad Belangour, Abdelaziz Marzak, A Meta-model for Real-Time Embedded Systems, Lecture Notes in Real-Time Intelligent Systems, Vol. 756, pp. 26-34, January 2019.
  65. Francisco Romaldo Mendes, Hausdorff Path Clustering and Hidden Markov Model Applied to Person Movement Prediction in Retail Spaces, Advances in Analytics and Applications, Springer Singapore, pp. 67-76, January 2019.
  66. Gulsher Baloch, Junaid Ahmed, Enhancing proximity measure between residual and noise for image denoising, International Journal of Computational Vision and Robotics, Vol. 9, Issue 1, pp. 56-69, January 2019.
  67. Konstantinos N. Vavliakis, Maria Th. Kotouza, Andreas L. Symeonidis, Pericles A. Mitkas, Personalization and the Conversational Web, Web Information Systems and Technologies, Springer International Publishing, January 2019.
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