Research interests in data and systems security, information system development, services for Public Administrations, Risk and Adaptive Cyber security, and services co-production. Involved in National and International Research Projects on e-Government, Web-based Information Systems, Risk and Adaptive Security, Security of Smart Environments and Service Platforms for Social Care and e-Health.
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.
I am am a computer scientist with over 10 years experience in modelling the spread and control of infectious diseases. I obtained mys PhD in computer science from the University of Queensland in 2016. Following 3 years of postdoctoral research in the UK, I joined the Melbourne School of Population and Global Health in 2011, where I was awarded an ARC Discovery Early Career Researcher Award. I joined the School of Computing and Information Systems in 2016, where I am an Associate Professor leading a group of 6 postdoctoral and PhD researchers. I am also Director of the Melbourne Data Analytics Platform (MDAP), a team of 20 data scientists who provide cross-disciplinary support on computing and data-intensive research across the University of Melbourne.
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.
Dr. Richang joined School of Computer and Information, Hefei University of Technology (HFUT) as a Professor. His current research interests include multimedia content analysis and social media. He has authored over 100 journal and conference papers in these areas and the Google Scholar citations for those papers is more than 7000. He served as editor of the IEEE Transactions on Big Data, Information Sciences, Signal Processing and Neural Processing Letter, and the guest editors of several international journals, a steering committee member of MMM (international conference on multimedia modeling) conference series since 2019, and the technical program chairs of the 22th International conference on Multimedia Modeling 2016 and the 9th ACM International Conference on Internet Multimedia Computing and Services 2017. He served as area chairs of ACM Multimedia 2017,2018,2019, 2020 and a technical program committee member of over 20 prestigious international conferences, and a reviewer of over 20 prestigious international journals. He is a recipient of the Best Paper Award in ACM Multimedia 2010, Best Paper Award in ACM International Conf. on Multimedia Retrieval 2015 and Best Paper Honorable Mention Award of IEEE trans. Multimedia 2015. Dr. Hong is the CCF technical committee member on multimedia and the secretary of the ACM SIGMM China Chapter.
Hongfei Hou, a senior scientist at Pacific Northwest National Laboratory, has attained a Ph.D. in Computer Science from Washington State University. His research area includes cloud computing and machine learning.
Professor of Computational Intelligence, University of Surrey, UK, Finland Distinguished Professor, Jyvaskyla, Finland, Changjiang Distinguished Professor, Northeastern University, China. Vice President for Technical Activities, IEEE Computational Intelligence Magazine, IEEE Distinguished Lecturer.
IBM Research scientist known for seminal work on computer virus epidemiology and immunology, emergent behavior of economies involving software agents, and autonomic (self-managing) computer systems. Author of over 150 refereed papers (h-index > 50) and over 30 issued patents. Led data center energy initiative resulting in multiple commercial offerings from IBM's software, systems and services divisions. Awarded IEEE Fellow for leadership and technical contributions to autonomic computing.
Dr. Bilal Khalid received a Ph.D. in Industrial Business Administration from KMITL Business School, Bangkok, and a master’s in International Business Management from Stamford International University, Bangkok. Dr. Khalid's research interests include leadership and negotiations, digital transformations, gamification, eLearning, blockchain, big data, decarbonization, green entrepreneurial orientation, corporate social responsibility, sustainable management practices, and management of information technology. Dr. Bilal Khalid also serves as an academic editor at Journal of Computer Networks and Communication, Education Research International, and a reviewer for multiple international journals.
Director of Facebook AI Research (2013-) and Silver Professor at New York University (2003-), affiliated with: Courant Institute, Center for Data Science, Center for Neural Science, and ECE Dept. Founding director of the NYU Center for Data Science (2012-2014); Fellow,NEC Research Institute (2002-2003); Head, Image Processing Research AT&T Labs (1996-2002); Research Scientist Bell Laboratories (1988-1996).
A Professor of Anthropology and Director of the Environmental Studies Program at Binghamton University in New York.
Pengcheng Liu is a member of IEEE, IEEE Robotics and Automation Society (RAS), IEEE Control Systems Society (CSS) and International Federation of Automatic Control (IFAC). He is also a member of the IEEE Technical Committee on Bio Robotics, Soft Robotics, Robot Learning, and Safety, Security and Rescue Robotics. Dr Liu is an Associate Editor of IEEE Access, PeerJ Computer Science, and he received the Global Peer Review Awards from Web of Science in 2019, and the Outstanding Contribution Awards from Elsevier in 2017. He has published over 70 papers on flagship journals and conferences. He was nominated as a regular Funding/Grants reviewer for EPSRC, NIHR and NSFC and he has been leading and involving in several research projects and grants, including EPSRC, Newton Fund, Innovate UK, Horizon 2020, Erasmus Mundus, FP7-PEOPLE, NSFC, etc. He serves as reviewers for over 30 flagship journals and conferences in robotics, AI and control. His research interests include robotics, machine learning, automatic control and optimization.