Advisory Board and Editors Scientific Computing & Simulation
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)
Yashonath Subramanian
Obtained Ph.D. from Indian Institute of Science, Bangalore and then spent time at Department of Chemistry, University of Cambridge, Cambridge and Royal Institution of Great Britain, London and University of Pennsylvania, Philadelphia.
Interests include molecular simulation, computational methods, physical chemistry, intermolecular interaction, phase transitions and diffusion. Visiting Professor at several institutions in Europe and Japan such as University of Sassari in Sardinia, Italy as well as IMR, Sendai University.
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.
Georg Umgiesser
Georg Umgiesser has two masters degrees in oceanography and physics and a PhD in biomedical sciences. He is working at the CNR as a senior scientist.
Principal fields of investigation are hydrodynamic modeling, circulation and sediment transport. He has developed a series of finite element models for shallow water bodies (SHYFEM) for the study of hydrodynamic processes, water quality and transport phenomena. He has participated in various EU projects dealing with the North Sea and the Mediterranean, turbulence studies and application of 3D models. He was a visiting professor at the Kyushu University, Japan. He is also lead researcher at the Open Access Center of Klaipeda University. He is the Italian coordinator of the ESFRI project Danubius-RI dealing with study on river-sea systems.
Antonie J (Ton) van den Bogert
Antonie (Ton) van den Bogert is Professor of Mechanical Engineering and the Parker-Hannifin Endowed Chair in Human Motion and Control. His current research interests are the dynamics and control of human motion, with applications in sports and rehabilitation.
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.
Wei Wang
Dr. Wei Wang is currently a Full Professor at the Department of Engineering Shenzhen MSU-BIT University, Shenzhen, China. Before this, he had been an associate professor with the School of Intelligent Systems, Sun Yat-sen University, China from 2019 to 2022. He had been the UM Macao Research Fellow at the University of Macau, Macau SAR. He received his Ph.D. in Software Engineering from Dalian University of Technology in 2018. His research interests include Psychophysiological Computing and Complex network He has authored/co-authored more than 100 scientific papers in top-tier international journals and conferences, including more than 50 scientific papers as the first/corresponding author, such as IEEE TITS, TNNLS, TBD, TCSS, TII, TETC, JBHI, IoT, ACM TALLIP, TKDD, WWW, and PKDD. He is the Leading Guest Editor of IEEE TCSS, JBHI, SETA, and the Guest Editor of ACM TOIT. He is a Program Chair of ISoIRS 2022, Track Chair of IEEE SmartIoT 2019&2020, TPC member of IEEE HealthCom 2020, and a regular reviewer of extensive top-tier field journals and conferences, such as IEEE TII, TBD, IoT, IJCAI, and WWW. He has an h-index of 26, a cumulative impact factor of 300+, and a total of 2500+ citations based on Google Scholar.
Matthew D Wilson
Matthew (Matt) Wilson is a Professor in Spatial Information and Director of the Geospatial Research Institute Toi Hangarau at the University of Canterbury in Christchurch, New Zealand. He is a surface water hydrologist and geographical information scientist with specialisations including flood risk, surface water dynamics, water resources, remote sensing, numerical model development, uncertainty analysis and the assessment of the potential impacts of climate change. Previous research has included the assessment of the potential impacts of climate change on flood risk and water resources in the Caribbean and the analysis of surface water hydrodynamics on a 300 km reach of the Amazon River in Brazil. In New Zealand, his current research includes leading the uncertainty theme for a national scale flood risk assessment, the creation of a digital twin for flood resilience, and the creation of algorithms for processing of novel airborne GNSS reflectometry measurements for estimation of soil water content.
Ying Xu
Ying Xu received B.Eng, M.Eng, and PH.D. degrees from Harbin Institute of Technology, China, in 2003, 2005, and 2009, respectively. From 2009-2017, he had been a Senior Engineer in the North China Grid Dispatching and Control Center. He is a research scholar in the Department of Electrical and Computer Engineering, University of Central Florida, USA. His main research interests and experiences include power system analysis and control, system modeling and simulation, cooperative control, distributed control and optimization for networked systems.
Sergiy Yakovenko
Dr. Yakovenko is an associate professor in Rockefeller Neuroscience Institute in West Virginia University, where his laboratory develops interdisciplinary expertise in neurophysiology and computational neuroscience to address questions in system motor control. The research program is focused on developing reliable neural interfaces capable of controlling dexterous prosthetic devices.
Lisu Yu
Lisu Yu received a Ph.D. degree at Key Laboratory of Information Coding and Transmission, Southwest Jiaotong University, Chengdu, China. He was a Visiting Scholar at the University of Arkansas, Fayetteville, AR, USA, and the University of Houston, Houston, TX, USA. He has served as the student activities chair of IEEE Communication Society Chengdu Chapter and several international conferences technical program committee (TPC) members, Section Chair, and Special Track Chair. He is now serving as an Area Editor of the Elsevier Physical Communication, Associate Area Editor of Journal of Electronics & Information Technology, and Editor of the Elsevier Computer Communications, PeerJ Computer Science, PLOS ONE, and Frontiers in Signal Processing for Communications, and a Managing Guest Editor of Elsevier Internet of Things and Cyber-Physical Systems, and IEEE Communications Society Technical Committee on Green Communications and Computing (TCGCC) and Signal Processing and Computing for Communications (SPCC) Members. He is a Senior Member of CIC. He is currently an associate professor in the School of Information Engineering, Nanchang University, China. His main research interests include advanced wireless communications (B5G/6G), machine learning, non-orthogonal multiple access (NOMA), ultra-dense network (UDN), unmanned aerial vehicle (UAV), visible light communication (VLC), and blockchain.
Amir A. Zadpoor
Amir Zadpoor studied Biomed Eng for his MSc and obtained his PhD (cum laude) from Delft Univ. Tech. He joined the Dept. Biomech. Eng. to work in the area of tissue biomechanics and implants in 2010 and started a research lab focusing on biomaterials, orthopedics, and biomechanics of tissues and implants. Amir is on the review and editorial board of several journals and has published many peer-reviewed article. He recently received the prestigious ERC and Veni personal grants.