Chayes is a leader in the field of network science, with applications in computer science, economics, biology and math. She is founder and Managing Director of Microsoft Research New England and NYC, and was previously Professor of Math at UCLA. She received an NSF Postdoctoral Fellowship, a Sloan Fellowship and the ABI Women of Vision Leadership Award. She was a member of the IAS Princeton, is a Fellow of the AAAS, ACM, AMS and is an elected member of the American Academy of Arts and Sciences.
Associate Professor, Psychology Department, University of Texas at Austin (2017-). Formerly, Assistant Professor, Psychology Department, Columbia University (2012-2017), Research Associate, Columbia University (2007-2012), Post-doctoral Researcher, Sub-Department of Animal Behavior, University of Cambridge (2003-2007), PhD, Sub-Department of Animal Behavior, University of Cambridge (1999-2003).
My current research interests are the neurobiological basis of social behavior in groups, as well as the long-term plastic changes in the brain and peripheral physiology that occur as a consequence of social experience. I am also interested in statistical methods for the study of social hierarchies and networks.
Professor of computer science at the University of California, San Diego, and also Amazon Fellow.
José M. Galán is a Professor at the Department of Management Engineering. He received a M.Sc. in Industrial Engineering from the Universidad de Valladolid and a Ph.D. degree in Industrial and Civil Engineering from the Universidad de Burgos. His research has focused on computational modelling and simulation, especially on agent-based modelling. He initially combined analytical approaches together with simulation and, more recently, with network theory and statistical and machine learning. Former president of the Complex Sociotechnical Systems Association. Member of the European Social Simulation Association and the INSISOC research group.
Leonardo is a Senior Research Fellow with training in Neuroscience and Physics. He works on Neuroscience, Computational Biology, Connectomics, and Complex Systems. His research focuses on computational and mathematical models of brain function.
Professor and Associate Chair for Research in the Joint Department of Biomedical Engineering at UNC-CH and NCSU and Professor in the Department of Pharmacology at UNC-CH. Previous Florence Gould Scholar and Pasteur Foundation Fellow. Current research interests in systems and synthetic biology, bioimage informatics, and network science applied to biology. Broader interests in translational medicine and the fostering of innovative solutions to problems in healthcare.
My research has covered a range of topics, including human-computer interaction, information visualization, bioinformatics, universal usability, security, privacy, and public policy implications of computing systems. I am currently working on a variety of NIH-funded projects, including areas such as bioinformatics research portals, visualization for review of chart records, and tools for aiding the discovery of animal models of human diseases.
Adriana Iamnitchi is Professor, Chair of Computational Social Sciences at Maastricht University. Her research spans different aspects of data and computer science, with a particular focus on social media forensics, network science, and distributed systems. Until 2021 she has been a professor of computer science in the United States, where her work was funded by the National Science Foundation, Office for Naval Research, and DARPA. She holds a PhD in Computer Science from The University of Chicago and is an ACM Distinguished Member, IEEE Senior Member, and recipient of the National Science Foundation CAREER award.
Dr Biju Issac is a Computer Science academic staff working at Northumbria University, UK. He has done PhD in Networking and Mobile Communications, MCA (Master of Computer Applications) and BE (Electronics and Communications Engineering). He is a Chartered Engineer (CEng), Senior IEEE member and Fellow of HEA. His research interests are in Wireless Networks, Cybersecurity, AI/Machine Learning applications (security, image processing, text mining etc) and Bio-inspired metaheuristic algorithms. His personal research website: https://www.bijuissac.com/
Dr. Xiangjie Kong is currently a Full Professor in the College of Computer Science & Technology, Zhejiang University of Technology (ZJUT), China. Previously, he was an Associate Professor in School of Software, Dalian University of Technology (DUT), China, where he was the Head of the Department of Cyber Engineering. He is the Founding Director of City Science of Social Computing Lab (The CSSC Lab) (http://cssclab.cn/). He is/was on the Editorial Boards of 6 International journals. He has served as the General Co-Chair, Workshop Chair, Publicity Chair or Program Committee Member of over 30 conferences. Dr. Kong has authored/co-authored over 140 scientific papers in international journals and conferences including IEEE TKDE, ACM TKDD, IEEE TNSE, IEEE TII, IEEE TITS, IEEE NETW, IEEE COMMUN MAG, IEEE TVT, IEEE IOJ, IEEE TSMC, IEEE TETC, IEEE TASE, IEEE TCSS, WWWJ, etc.. 5 of his papers is selected as ESI- Hot Paper (Top 1‰), and 16 papers are ESI-Highly Cited Papers (Top 1%). His research has been reported by Nature Index and other medias. He has been invited as Reviewer for numerous prestigious journals including IEEE TKDE, IEEE TMC, IEEE TNNLS, IEEE TNSE, IEEE TII, IEEE IOTJ, IEEE COMMUN MAG, IEEE NETW, IEEE TITS, TCJ, JASIST, etc.. Dr. Kong has authored/co-authored three books (in Chinese). He has contributed to the development of 14 copyrighted software systems and 20 filed patents. He has an h-index of 36 and i10-index of 87, and a total of more than 4200 citations to his work according to Google Scholar. He is named in the2019 and 2020 world’s top 2% of Scientists List published by Stanford University. Dr. Kong received IEEE Vehicular Technology Society 2020 Best Land Transportation Paper Award, and The Natural Science Fund of Zhejiang Province for Distinguished Young Scholars. He has been invited as Keynote Speaker at 2 international conferences, and delivered a number of Invited Talks at international conferences and many universities worldwide. His research interests include big data, network science, and computational social science. He is a Distinguished Member of CCF, a Senior Member of IEEE, a Full Member of Sigma Xi, and a Member of ACM.
Renaud Lambiotte is professor in the department of Mathematics of the University of Namur. He is interested in different aspects of complex systems, with a particular focus on complex networks. His recent research includes the development of algorithms to uncover information in large-scale networks, the study of empirical data in social and neuronal systems, and the mathematical modelling of human mobility and diffusion on networks.
Dr. Xiaolong Li is Professor and Chair of the Department of Electronics and Computer Engineering Technology at the Indiana State University. He received his PhD from Department of Electrical and Computer Engineering at the University of Cincinnati in 2006. He obtained his Bachelor degree and Master degree from Department of Electronic and Information Engineering at Huazhong University of Science and Technology, China. Dr. Li began his teaching and research with the Morehead State University in 2006 where he taught various courses in electronics and wireless communications. In 2008, Dr. Li joined the Indiana State University where he taught courses in Electronics and Computer Engineering, such as C programming, digital electronics, computer networking, networking security, etc. Dr. Li’s primary areas of research including modeling and performance analysis of Data mining, Internet of Things, Wireless Ad Hoc networks and sensor networks. He has published more than forty journal and proceedings articles in the above fields. He has served as topical editor and special issue editor for multiple journals. He also served as general chair and technical program committee chairs for multiple international conferences.