A Professor of Anthropology and Director of the Environmental Studies Program at Binghamton University in New York.
Assistant Professor in Computer Science at the University of Bari, Italy. Member of the Board of Directors of the Italian Association for Artifiicial Intelligence (AI*IA).
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.
Dr. Marta Lovino is an assistant professor with a time contract at the University of Modena and Reggio Emilia, since 2023. She obtained her Ph.D. in Computer and Control Engineering with honors from Politecnico di Torino in 2021 and joined the AImage lab group as a Postdoctoral Research Fellow.
Dr. Lovino's primary research interests include cancer prognosis prediction, gene expression analysis, miRNA target prediction, gene regulatory networks, gene fusions, and multi-omics data integration. With a particular focus on leveraging artificial intelligence (AI) in the field of genetics to improve the understanding of cancer biology and enhance patient care.
Vijay Mago received a Ph.D. degree in computer science from Panjab University, India, in 2010. In 2011, he joined the Modeling of Complex Social Systems Program at The IRMACS Centre, Simon Fraser University. He is currently the Chair and an Associate Professor with the Department of Computer Science, Lakehead University, Thunder Bay, ON, Canada, where he teaches and conducts research in areas, including big data analytics, machine learning, natural language processing, artificial intelligence, medical decision making, and Bayesian intelligence. He has published extensively on new methodologies based on soft computing and artificial intelligence techniques to tackle complex systemic problems, such as homelessness, obesity, and crime. He serves as an Associate Editor for IEEE Access and BMC Medical Informatics and Decision Making.
Ana Gabriela Maguitman is a Principal Researcher at the National Council for Science and Technology (CONICET) of Argentina and an Associate Professor at the Department of Computer Science and Engineering of the Universidad Nacional del Sur (Argentina). She obtained her PhD in Computer Science at Indiana University (USA). Dr. Maguitman leads the Knowledge Management and Information Retrieval Research Group at Universidad Nacional del Sur. Her main research areas include Natural Language Processing, Machine Learning, and Information Retrieval.
Federico Manuri received the B.Sc., M.Sc., and Ph.D. degrees in computer engineering from Politecnico di Torino, Torino, Italy, in 2008, 2011, and 2017, respectively all in computer engineering. He is currently an Assistant Professor with the Department of Control and Computer Engineering, Politecnico di Torino.
Dr. Mao is currently a research scientist in Lister Hill National Center for Biomedical Communications, U.S. National Library of Medicine (NLM), National Institutes of Health (NIH). Prior to joining the NLM, he was a Professor at Nanjing University of Chinese Medicine in China. Dr. Mao has received a Ph.D. degree from the School of Computer Engineering, Nanyang Technological University, Singapore (2012), and B.S. and M.S. degrees in computer science from Nanjing University in China in 1997 and 2000, respectively.
Alessio Martino graduated summa cum laude in Communications Engineering at University of Rome "La Sapienza", Italy, 2016. From 2016 to 2019, he served as PhD Research Fellow in Information and Communications Technologies at the same University (Department of Information Engineering, Electronics and Telecommunications), with a final dissertation on pattern recognition techniques in non-metric domains. During his PhD, he also served as scientific collaborator with Consortium for Research in Automation and Telecommunication, Rome, Italy.
After obtaining the PhD, he was granted a 1-year Post Doctoral Research Fellowship at University of Rome "La Sapienza" and a 1-year Post Doctoral Research Fellowship at the Italian National Research Council (Institute of Cognitive Sciences and Technologies). Since February 2022, he is Assistant Professor of Computer Science at LUISS University.
His research interests include machine learning, computational intelligence and knowledge discovery. Currently he's focusing on large-scale machine learning, advanced pattern recognition systems, big data analysis, parallel and distributed computing, granular computing and complex systems modelling, in applications including bioinformatics and computational biology, natural language processing and energy distribution networks.
He serves as Editor for several journals and regularly serves as Technical Program Committee member for several international conferences. Alessio Martino is also a member of the IEEE.
My research aims at understanding the eco-evolutionary pathways that lead to emergence and dispersal of zoonotic and human pathogens, with emphasis on land use and climate change, within the One Health approach. I employ genomics, metagenomics and phylodynamics as tools to elucidate the evolutionary processes and population dynamics that shape viral genetic diversity both at the inter-host (epidemics) and in intra-host level (individual infections).
Dr. Hamid Mcheick is a full professor in Computer Science department at the University of Québec at Chicoutimi, Canada. He has more than 25 years of experience in both academic and industrial areas. He has done his Ph.D. in Software Engineering and Distributed System in the University of Montreal, Canada. He is working on designing of adaption distributed, smart and connected software applications; designing healthcare frameworks; and designing smart Internet of Things architecture. He has supervised many post-doctorate, PhD, master, and bachelor students. He has nine book chapters, more than 60 research papers in international journals, and more than 150 research papers in international/national conferences and workshop proceedings to his credit. Dr. Mcheick has given many keynote speeches and tutorials in his research area, particularly in Healthcare systems, Architecture Pervasive and Ubiquitous Computing, Distributed Middleware Architectures, Software Connectors, Service-Oriented Computing, Internet of Things (IoT), Smart Architectural Frameworks, Mobile Edge Computing, Fog Computing, and Cloud Computing. Dr. Mcheick has gotten many grants from governments, industrials and academics. He is a chief in editor, chair, co-chair, reviewer, member in many organizations (such as IEEE, ACM, Springer, MDPI, Elsevier, Inderscience) around the world.
Dr. Mehta has expertise in the biology of orthodontic tooth movement, mini-screw assisted rapid palatal expansion, Artificial Intelligence in dentistry and a passion for improving the health and wellbeing of Osteogenesis Imperfecta. Dr. Mehta is thankful to the American Association of Orthodontists Foundation (AAOF), Northeastern Society of Orthodontists (NESO), National Science Foundation (NSF) Innovation Corps (I-Corps) for supporting his research with more than 4 grants. He works as an Assistant Professor at Marquette University School of Dentistry, American Dental Association (ADA) Standard’s Committee - Represents the interests of United States regarding dental and orthodontic materials as an active member of ADA Standards Committee on Dental Products (SCDP)/Standards Committee on Dental Informatics (SCDI); Secretary American Dental Education Association (ADEA) Postgraduate Application Support Service Advisory Council; Northeastern Society of Orthodontists (NESO) Annual Planning Committee and moderator for scientific sessions; Past core-member of President’s Council on Race and Diversity.