Advisory Board and Editors Optimization Theory & Computation
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.
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.
Leonilde Varela
The main research interests of Leonilde Varela rely on the Manufacturing Management domain: Production Planning, Control and Optimization and in Collaborative Paradigms, Networks and Decision Making Models, Methods and Tools, and Systems, Web Applications and Services for supporting Engineering and Production Management. She focuses on exploring international scientific collaborations, mainly in terms of joint publications, projects, and special issues proposals, with colleagues from several institutions. She is an active member in the organizing and scientific committees of several internationa conferences and integrates several research networks and organizations, such as: Euro Working Group of Decision Support Systems (EWG-DSS); Institute of Electrical and Electronics Engineers (IEEE); Industrial Engineering Network (IE Network); Institute of Industrial and Systems Engineers (IISE); Machine Intelligence Research Labs, Scientific Network for Innovation and Research Excellence (MirLabs).
Jingbo Wang
Prof Wang's research spans several disciplines including quantum dynamics theory, quantum computation and information, atomic physics, and computational science. She has published extensively, including a recent book published by Springer, four book chapters, and numerous journal papers. Prof Wang currently leads the quantum dynamics and computation group at The University of Western Australia. She and her research team have developed advanced numerical techniques to solve problems in both quantum and classical domain.
Keli Xiao
Dr. Keli Xiao is an Associate Professor in the College of Business at Stony Brook University. He received his Ph.D. from Rutgers University. Dr. Xiao’s research interests include business analytics, data mining, real estate/urban computing, economic bubbles and crises, and asset pricing. His research has appeared in many high-quality journals and conference proceedings, such as IEEE Transactions on Knowledge and Data Engineering (TKDE), Real Estate Economics, ACM Transactions on Knowledge Discovery from Data (TKDD), ACM Transactions on Management Information Systems (TMIS), ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), etc. He regularly serves as an SPC or PC of numerous prestigious conferences, such as AAAI, IJCAI, KDD, ICDM, SDM, CIKM, etc.. He is a senior member of the IEEE and the ACM.