Advisory Board and Editors Optimization Theory & Computation
Feiping Nie
Feiping Nie's research interests are machine learning and its application. He has published more than 100 papers in the following journals and conferences: TPAMI, IJCV, TIP, TNNLS/TNN, TKDE, TKDD, TVCG, TCSVT, TMM, TSMCB/TC, Machine Learning, Pattern Recognition, Medical Image Analysis, Bioinformatics, ICML, NIPS, KDD, IJCAI, AAAI, ICCV, CVPR, SIGIR, ACM MM, ICDE, ECML/PKDD, ICDM, MICCAI, IPMI, RECOMB. According to Google scholar, his papers have been cited more than 2000 times.
Dragan Pamucar
Dr. Dragan Pamucar is an Full Professor at University of Belgrade, Department of Operational Research and Statistics, Serbia. Dr. Pamucar received a PhD in Applied Mathematics with specialization of Multi-criteria modeling and soft computing techniques, from University of Defence in Belgrade, Serbia in 2013 and an MSc degree from the Faculty of Transport and Traffic Engineering in Belgrade, 2009. His research interests are in the field of Computational Intelligence, Multi-criteria decision making problems, Neuro-fuzzy systems, fuzzy, rough and intuitionistic fuzzy set theory, neutrosophic theory. Application areas include wide range of logistics problems.
Dr. Pamucar has five books and over 220 research papers published in SCI indexed International Journals including Experts Systems with Applications, Applied Soft Computing, Soft Computing, Journal of Cleaner Production, Computational intelligence, Computers and industrial engineering, Sustainable Cities and Society, Science of the Total Environment, IEEE Transactions on Engineering Management, Journal of Intelligent and Fuzzy Systems, Land use policy, Environmental impact assessment review, and so on, and many more.
Dr. Pamucar has served as Guest Editor in more than 30 SCIE indexed journals Applied Soft Computing, Sustainable Energy Technologies and Assessments, Mathematical Problems in Engineering, Computer Systems Science and Engineering, Intelligent Automation & Soft Computing, IEEE Transactions on Fuzzy Systems and so on.
In the last three years Prof. Pamucar was awarded top and outstanding reviewer for numerous journals. According to Scopus and Stanford University, he is among the World top 2% of scientists as of 2020.
David M Pennock
David Pennock is a Principal Researcher and Assistant Managing Director of Microsoft Research in New York City, focusing on algorithmic economics. He has over sixty academic publications relating to computational issues in electronic commerce and the web, including papers in PNAS, Science, IEEE Computer, Theoretical Computer Science, Algorithmica, AAAI, EC, KDD, UAI, SIGIR, ICML, NIPS, and WWW. He has authored three patents and thirteen patent applications. In 2005, he was named to MIT Technology Review’s list of 35 top technology innovators under age 35. Prior to his current position, David worked as a Principal Research Scientist at Yahoo! Research, a Research Scientist at NEC Laboratories America, a research intern at Microsoft Research, and in 2001 served as an adjunct professor at Pennsylvania State University. He received a Ph.D. in Computer Science from the University of Michigan, an M.S. in Computer Science from Duke University, and a B.S. in Physics from Duke. His work has been featured in Discover Magazine, New Scientist, CNN, the New York Times, the Economist, Surowiecki’s The Wisdom of Crowds, and other publications.
Sven Rahmann
Prof. Sven Rahmann is professor of Algorithmic Bioinformatics at the Center for Bioinformatics, Saarland University, Saarbrücken, Germany. Previously, Sven was UA Ruhr Professor of Computational Biology and Genome Informatics at the Faculty of Medicine at Duisburg-Essen University (2011-2021), associate professor for Bioinformatics for High-Throughput Technologies at the Chair of Algorithm Engineering, Computer Science Department, TU Dortmund (2007-2011). Sven wrote his doctoral thesis on oligonucleotide design for microarrays in the Computational Molecular Biology group at the Max Planck Institute for Molecular Genetics in Berlin.
Khalid Raza
Khalid Raza is an Associate Professor at the Department of Computer Science, Jamia Millia Islamia (Central University), New Delhi. Dr. Raza has been honored with “ICCR Chair Visiting Professor” by Indian Council for Cultural Relation (ICCR), Ministry of Foreign Affairs, Government of India and deputed at the Faculty of Computer & Information Sciences, Ain Shams University, Cairo, Egypt during academic session 2017-18. He has over 12 years of teaching and research experience in the field of Translational Bioinformatics and Computational Intelligence applications in healthcare. He has contributed over 120 research articles in reputed Journals and Edited Books. Dr. Raza has authored/edited 6 Books published by reputed publishers like Springer-Nature, Elsevier, and CRC Press. Dr. Raza is an Academic Editor of PeerJ Computer Science International Journal, and Guest Editor of the Journal Natural Product Communications. He has an active collaborations with the scientists from leading institutions of India and abroad, including AIIMS (New Delhi), ICMR-NIP, CSIR-IGIB, DRDO-INMAS, NIPGR, CCRUM, DPSRU, UFMG (Brazil), UoT Sydney (Australia), etc. He has reviewed over 200 research articles for reputed Journals/Conferences in the last 5 years. Dr. Raza has delivered several keynote addresses, invited talks, public lectures, and seminars in National and International conferences, workshops, and chaired technical sessions at various conferences. He has served as the technical program committee members of several international conferences and workshops. He has also executed two Indian governments funded research projects. Dr. Raza is a member of MIR Lab (USA), CSI (India), and SCRS (India). His research interest includes Computational Intelligence methods and its applications in Bioinformatics and Health-informatics. Recently, Dr. Raza has been featured in the list of Top 2% Scientists released by Stanford University (USA) in collaboration with Elsevier.
Chan Hwang See
Dr. Chan H. See received a first class B.Eng. Honours degree in Electronic, Telecommunication and Computer Engineering and a Ph.D. degree from the University of Bradford, UK respectively. He is a Professor in School of Computing, Engineering and the Built Environment, Edinburgh Napier University, UK. Previously (2019-2022), he was the Head of Electrical Engineering and Mathematics within School of Engineering and the Built Environment, in the same University. Prior to this, he was a Senior Lecturer (Programme Leader) in Electrical & Electronic Engineering, School of Engineering, University of Bolton, UK. Before this, he was a Senior Research Fellow in the Antennas and Applied Electromagnetics Research Group within the University of Bradford. His research interests cover wireless sensor network system design, wireless power transfer, Internet of Things (IoTs), sensor technologies, computational electromagnetism, antennas and Bioelectromagnetics. He has published over 300 peer-reviewed journal articles and conference papers in the areas of antennas, computational electromagnetics, microwave circuits, acoustic sensors and wireless sensor system designs. He is a co-author for one book and three book chapters. He was a recipient of two Young Scientist Awards from the International Union of Radio Science (URSI) and Asia-Pacific Radio Science Conference (AP-RASC) in 2008 and 2010, respectively. Dr. See is a Chartered Engineer (CEng), Fellow of the Institution of Engineering and Technology (FIET) and senior member of IEEE (SMIEEE). He is also a Fellow of the Higher Education Academy, an EPSRC full college member, Associate Editor for IEEE Access, Scientific Reports, Frontiers in Antennas Propagations, Peerj Computer Science and Wireless Power Transfer journals.
Bart Selman
Bart Selman is a Professor of Computer Science at Cornell University. His research interests include computational sustainability, efficient inference, planning, KR&R, and connections between CS and statistical physics. He has (co-)authored over 150 publications, including six best paper awards. He has received the Cornell Miles Excellence in Teaching Award, the Cornell Outstanding Educator Award, an NSF Career, and an Alfred P. Sloan Fellowship. He is a Fellow of AAAI, AAAS, and ACM.
Yilun Shang
I am an Associate Professor in Computer and Information Sciences at Northumbria. I received my PhD degree in Mathematics from Shanghai Jiao Tong University. My research interest is in complex networks and systems.
Željko Stević
Dr. Željko Stević is Associate Professor at University of East Sarajevo, Faculty of Transport and Traffic Engineering Doboj. He received PhD in Transport and Traffic Engineering from University of Novi Sad, Faculty of Technical Sciences 2018.
Also, he is Chief Research Fellow at Vilnius Gediminas Technical University, Lithuania.
Also, he is Adjunct professor at College of Engineering, Korea University, Seoul, Korea
Dr. Stević's research interests include, logistics; supply chain management; transport; traffic engineering; soft computing; multi-criteria decision making problems; rough set theory; sustainability; fuzzy set theory; neutrosophic set theory and circular economy.
He has published over 250 papers from the area of his interest. ResearchGate (H42), Google Scholar (H44). (SCOPUS) – H35, (WoS) – H28. He is also Editor in chief of the 3 journals, and member of Program Committee 40, in addition to a number of journals and conferences.
Dr. Stević is also a co-author of the new methods in field of operations research and decision-making, and the World's Top 2% Scientist for 2020, 2021, 2022 (Released by Stanford University).
HIs awards include: Jan 2018: Medal merit for the people in the field of education and science. Nov 2017: The best young researcher of the 3rd cycle (Doctoral) studies, September 2019 Award: Top Peer Reviewer in the Global Peer Review Awards 2019 (Publons). The researcher I category for 2018, 2019, 2020 and 2021 years (Ministry of Scientific and Technological Development, Higher Education and Information Society of the Republic of Srpska)
Thomas Stützle
Research Director of the Belgian F.R.S.-FNRS (tenured research professor position) working at the Institut de Recherches Interdisciplinaires et de Développements en Intelligence Artificielle (IRIDIA), Université libre de Bruxelles, Brussels, Belgium. His research interests range from stochastic local search (SLS) algorithms, automated design of algorithms, large scale experimental studies, multi-objective optimization to applications of SLS algorithms.
Easter S Suviseshamuthu
Dr. Suviseshamuthu is an Associate Research Scientist at the Human Performance and Engineering Research Lab, Kessler Foundation, West Orange, NJ, U.S.A., since Dec. 2015.
He received the B.E. degree in Electronics and Communication Engineering from the Government College of Engineering, Tirunelveli, India (1988), the M.E. degree in Applied Electronics from Bharathiar University, Coimbatore, India (2001), and the Ph.D. in Multispectral Satellite Image Analysis from the Laboratoire des Sciences de l’Information et des Systèmes, Université de la Méditerranée, Marseille, France (2007). He was Post-Doctoral Fellow at the Bioimaging and Biostructure Institute, Italian National Research Council, Naples, Italy, (2008 to 2010), the Department of Mathematical Engineering, Université catholique de Louvain, Louvain-la-Neuve, Belgium, (2010 to 2014), and the GIPSA-Lab, Université Joseph Fourier, Grenoble, France (2014 to 2015).
His research focus encompasses statistical signal processing, blind source separation, medical imaging, optimization on matrix manifolds, machine learning, biomedical signal analysis, and bio-inspired computing. He serves as Associate Editor of IEEE Access.
Sándor Szénási
Sándor Szénási has earned his MSc degree in 2004 from Faculty of Informatics of Eötvös Loránd University, Budapest. He has received his PhD in 2013 from Doctoral School of Applied Informatics (GSAI) of Óbuda University, Budapest.
Currently, he is an associate professor in the Institute of Applied Informatics of John von Neumann Faculty of Informatics, Óbuda University, Budapest. He is the leader of the local CUDA Teaching Center.
His research areas are (data) parallel algorithms, GPU programming and medical image processing. He engages both in theoretical fundamentals and in algorithmic issues with respect to realization of practical requirements and given constraints.
He is the member of the John von Neumann Computer Society and IEEE, and also a reviewer of several conferences and journals.