Advisory Board and Editors Network Science & Online Social Networks
José Ignacio Santos
I hold a Ph.D. in Industrial Engineering from the University of Burgos and a Bachelor's degree in the same field from the University of Valladolid. Additionally, I have earned an M.Sc. in Business Economics from UNED and an M.Sc. in Information Systems from the School of Industrial Management (EOI) in Madrid. At the outset of my career, I dedicated myself to developing methodologies for the study of complex systems, a commitment that has defined my research trajectory. My work is distinguished by a dual focus. First, I am deeply interested in employing a variety of methods and techniques—such as agent-based modeling, complex network theory, and machine learning. These approaches are instrumental in my ongoing study of complex systems. Second, I am committed to an interdisciplinary approach, actively collaborating with experts across engineering, social sciences, anthropology, and archaeology. This cross-disciplinary engagement has been crucial in tackling complex challenges, leading to significant contributions in both the social sciences and humanities and the domains of computer science and engineering.
Rossano Schifanella
Rossano Schifanella is an associate professor of computer science at the University of Turin and a researcher at ISI Foundation, where he is a member of the Data Science for Social Impact and Sustainability group. His research embraces the creative energy of a range of disciplines across machine learning, urban science, computational social science, complex systems, and data visualization. He leverages data-driven approaches to model the behavior of (groups of) individuals and their interactions in space and time, aiming at understanding the interplay between online and offline social behavior. He is passionate about understanding the dynamics of complex phenomena in modern cities and building interactive web interfaces to explore urban spaces and access human knowledge through geography.
Tavpritesh Sethi
Dr. Tavpritech Sethi is founding Head of Center of Excellence in Healthcare at IIIT-Delhi. Associate Professor in the Department of Computational Biology. Clinician Data Scientist. Fellow of the DBT/Wellcome India Alliance and the Kavli Foundation (National Academy of Sciences, USA).
Dr. Sethi specializes in improving outcomes in neonatal, child and maternal health by bridging medicine and artificial intelligence. His research is focused on development and deployment of machine-learning based solutions to enable decisions and policy in pressing healthcare questions such as antimicrobial resistance, sepsis and health inequalities in intensive care and public health settings.
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.
Kaize Shi
Kaize Shi is with the Data Science and Machine Intelligence Lab, University of Technology Sydney. He has PhD degrees in computer science and computer systems, which are from the Beijing Institute of Technology, China, and the University of Technology Sydney, Australia. His research interests include natural language generation, social computing, cyber-physical-social systems, meteorological knowledge services, intelligent transportation, and artificial intelligence technology. He is the associate editor of IEEE Transactions on Computational Social Systems and academic editor of PeerJ Computer Science and Wireless Communications and Mobile Computing. He also served as a guest editor for the Information Fusion, International Journal of Distributed Sensor Networks, etc. He served as a program committee member for conferences of ACL, EMNLP, NeurIPS, SIGKDD, ICDM, etc. He is a member of the Artificial Intelligence Technical Committee of the China Meteorological Service Association.
Filipi Nascimento Silva
Dr. Filipi Silva is a Research Scientist at the Observatory on Social Media (OSoMe), Indiana University. With a Ph.D. in Computational Physics from the University of São Paulo, his expertise lies in the intersection of complex networks, machine learning, text analysis and data visualization. Dr. Silva's research includes contributions to many fields, from bioinformatics, to digital art representation. He is the developer of Helios-Web, a state-of-the-art network visualization tool. And his current interests include mapping science, detecting suspicious activities and uncovering narratives in social media data.
Giancarlo Sperlì
Giancarlo Sperlì is an assistant professor at the Department of Electrical Engineering and Information Technology of the University of Naples Federico II.
He obtained his PhD in Information Technology and Electrical Engineering at the same University defending his thesis: "Multimedia Social Networks".
He is a member of the Pattern Analysis and Intelligent Computation for Multimedia Systems (PICUS) departmental research groups. His main research interests are in the area of Cybersecurity, Semantic Analysis of Multimedia Data and Social Networks Analysis.
He has served as guest editor of different special issues on International Journals. Finally, he has authored about 118 publications in international journals, conference proceedings and book chapters.
Julita Vassileva
Professor in Computer Science, University of Saskatchewan, Canada. Her research area is human issues in decentralized computing technologies and applications: user modeling, personalization, trust modeling, intelligent educational and persuasive technologies.
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.
Lexing Xie
Lexing Xie is Professor in the Research School of Computer Science at the Australian National University. She leads the ANU Computational Media lab (http://cm.cecs.anu.edu.au/). Her current research interests are in machine learning on graphs and time series, especially on understanding individual and aggregate behaviour in online social networks, at the intersection of media, language and behaviour. She was research staff member at IBM T J Watson Research Center 2005-2010. She is Associate editor for ACM TOIS, ACM TiiS and PeerJ CS.
Jiyang Yu
Dr. Jiyang Yu's research is focused on systems biology, systems immunology, single-cell systems biology, immuno-oncology, translational oncology and functional genomics. He earned his bachelor’s degree in Computer Science from Zhejiang University, China. In 2008-2012, he was trained in Dr. Andrea Califano’s laboratory at Columbia University and earned his PhD degree in Biomedical Informatics.
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.