Advisory Board and Editors Computational Science
Cédric Sueur
Cédric Sueur is Full Professor at the University of Strasbourg, specializing in the study of animal behavior with a primary focus on the dynamics of social networks and the mechanisms of collective decision-making within social groups. He holds leadership roles in academic programs, serving as co-director of both the Master's program in Ecology, Ecophysiology, and Ethology, and the Master's program in Animal Ethics, highlighting his dedication to advancing knowledge in both ecological and ethical domains. His distinguished contributions to his field have earned him membership in the prestigious Institut Universitaire de France and recognition from the Royal Academy of Science, Letters and Fine Arts of Belgium, where he was honored with an award.
Valerie Taylor
Valerie Taylor is the director of the Argonne National Laboratory Mathematics and Computer Science Division. She received her Ph.D. in electrical engineering and computer science from the University of California, Berkeley, in 1991. She then joined the faculty in the Electrical Engineering and Computer Science Department at Northwestern University, where she was a member of the faculty for 11 years. In 2003, she joined Texas A&M, where she served as head of the computer science and engineering department and senior associate dean of academic affairs in the College of Engineering and a Regents Professor and the Royce E. Wisenbaker Professor in the Department of Computer Science.
Brett Trost
Dr. Brett Trost is a Scientist in the Molecular Medicine Program at the Hospital for Sick Children, Toronto, Canada. He is a computational biologist with a particular interest in human genetics.
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.
Jeffrey S. Vitter
Past Chancellor of the University of Mississippi and Distinguished Professor of Computer and Information Science. Previously Provost and Executive Vice Chancellor and Roy A. Roberts Distinguished Professor at the University of Kansas. Previously served in administrative leadership and faculty roles at Brown, Duke, Purdue, and Texas A&M. B.S. with highest honors in mathematics in 1977 from Notre Dame; Ph.D. in computer science in 1980 from Stanford; and M.B.A. in 2002 from Duke. Over 300 publications, primarily dealing with algorithmic aspects of big data. Fellow of the Guggenheim Society, AAAS, ACM, and IEEE.
Shibiao Wan
Dr. Shibiao Wan is currently an Assistant Professor in the Department of Genetics, Cell Biology and Anatomy, and the Co-Director for the Bioinformatics and Systems Biology (BISB) PhD Program at University of Nebraska Medical Center (UNMC). He is also an Assistant Professor (courtesy) in the Department of Biostatistics at UNMC.
With more than 15 years of experience in machine learning, bioinformatics, and computational biology, Dr. Wan has published >50 articles in top-tiered journals such as Genome Research, Nature Communications, Science Advances, Circulation Research, Briefings in Bioinformatics, and Bioinformatics. Dr. Wan is the Editor-in-Chief for Current Proteomics, and an Associate Editor/Academic Editor/Editorial Board Member for a series of prestigious journals such as Briefings in Functional Genomics, Heliyon, BMC Bioinformatics, International Journal of Microbiology, PeerJ Computer Science, BioMed Research International, and Computational and Mathematical Methods, and a guest associate editor for multiple high-impact journals.
He is a Scientific Program Committee (SPC) member for American Medical Informatics Association (AMIA) Annual Symposium and a Technical Program Committee (TPC) member for >20 machine learning related international conferences including IEEE ICTAI. Dr. Wan is also a reviewer for >70 prestigious journals including Nature Biotechnology, Nature Methods, Nature Communications, Nature Computational Science, Science Advances, Nucleic Acids Research, Advanced Science, Cancer Research, Genome Biology, and Genome Medicine. Dr. Wan has received a number of accolades including the Springer Nature Editor of Distinction Award in 2025 by Springer Nature, the New Investigator Award in 2024 by UNMC, the FIRST Award in 2023 by Nebraska EPSCoR, the Outstanding Young Alumni Award in 2022 by HK PolyU as well as the Global Peer Review Awards (top 1%) in “Cross-Field” and “Biology and Biochemistry” in 2019 by Clarivate. Dr. Wan is a member of AACR, AMIA, ISCB and ACM and an IEEE Senior Member.
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.
Su Yan
Dr. Su Yan received his Ph.D. degree in electrical and computer engineering from the University of Illinois at Urbana–Champaign (UIUC), Urbana, IL, USA, in 2016. Currently, he is an Assistant Professor and Director of Graduate Studies in the Department of Electrical Engineering and Computer Science, at Howard University, Washington, DC. He has authored or coauthored over 100 papers in refereed journals and conferences and one book chapter. His current research interests include nonlinear electromagnetic and multiphysics problems, electromagnetic scattering and radiation, numerical methods in computational electromagnetics, especially continuous and discontinuous Galerkin finite element methods, integral-equation-based methods, domain decomposition methods, fast algorithms, and preconditioning techniques. Dr. Yan is a Senior Member of the Institute of Electrical and Electronics Engineers (IEEE), and a Life Member of the Applied Computational Electromagnetics Society (ACES). He was a recipient of the ACES Early Career Award “for contributions to linear and nonlinear electromagnetic and multiphysics modeling and simulation methods" by ACES in 2020, the P. D. Coleman Outstanding Research Award and the Yuen T. Lo Outstanding Research Award by UIUC, in 2015 and 2014, respectively. He was also a recipient of the Edward E. Altschuler AP-S Magazine Prize Paper Award by IEEE Antennas and Propagation Society in 2020.
Longzhi Yang
Longzhi Yang is the Director of Education and an Associate Professor (Reader) in the Department of Computer and Information Sciences at Northumbria University, U.K. He is the founding Chair of the IEEE Special Interest Group on Big Data for Cyber Security and Privacy. His research in the filed of AI, robotics, cyber security, and digital forensics has been supported by multiple research councils, charity organisations, and the industry. He is a Senior Member of IEEE, a professional member of British Computer Society, and a Senior Fellow of Higher Education Academy of United Kingdom.
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.