Assessing COVID-19 and Other Pandemics and Epidemics using Computational Modelling and Data Analysis
Produktdetaljer
Om bidragsyterne
Subhendu Pani is Professor and Principal at Krupajal Computer Academy, Odisha, India. His research interests include Data mining, Big Data Analysis, web data analytics, Fuzzy Decision Making and Computational Intelligence. He has been published in more than 150 international publications, five authored books, fifteen edited and forthcoming books, and twenty book chapters. He is a fellow in SSARSC and life member in IE, ISTE, ISCA, OBA, OMS, SMIACSIT, SMUACEE, and CSI.Sujata Dash is Associate Professor of Computer Science at North Orissa University in the Department of Computer Application, Baripada, India. She is a recipient of Titular Fellowship from Association of Commonwealth Universities, UK. She has worked as a visiting professor of Computer Science Department of University of Manitoba, Canada. She has published more than 170 technical papers.
Wellington P. dos Santos is Associate Professor, Department of Biomedical Engineering, Federal University of Pernambuco (UFPE), Recife, Brazil. PhD in Electrical Engineering from the Federal University of Campina Grande (UFCG), Campina Grande, Master in Electrical Engineering and Graduated in Electronic Electrical Engineering from UFPE, Recife, Brazil. His main research interests are: diagnostic support systems, digital epidemiology, applied neuroscience, serious games in health, and artificial intelligence applied to health.
Syed Ahmad Chan Bukhari is Assistant Professor and Director of Healthcare Informatics at St. John's University, New York. He received his Ph.D. in Computer Science from the University of New Brunswick, Canada, and then went on to complete his postdoctoral fellowship at Yale School of Medicine, where he worked with Stanford University, Centre of Expanded Data Annotation and Retrieval (CEDAR) to develop data submission pipelines to improve scientific experimental reproducibility.
Francesco Flammini is Professor of Computer Science at Mälardalen University, Sweden. He has been an Associate Professor leading the Cyber-Physical Systems environment at Linnaeus University, Sweden. He has worked for fifteen years in private and public companies, including Ansaldo STS (now Hitachi Rail) and IPZS (Italian State Mint and Polygraphic Institute), leading international projects addressing intelligent transportation and infrastructure security.
Produktdetaljer
Om bidragsyterne
Subhendu Pani is Professor and Principal at Krupajal Computer Academy, Odisha, India. His research interests include Data mining, Big Data Analysis, web data analytics, Fuzzy Decision Making and Computational Intelligence. He has been published in more than 150 international publications, five authored books, fifteen edited and forthcoming books, and twenty book chapters. He is a fellow in SSARSC and life member in IE, ISTE, ISCA, OBA, OMS, SMIACSIT, SMUACEE, and CSI.Sujata Dash is Associate Professor of Computer Science at North Orissa University in the Department of Computer Application, Baripada, India. She is a recipient of Titular Fellowship from Association of Commonwealth Universities, UK. She has worked as a visiting professor of Computer Science Department of University of Manitoba, Canada. She has published more than 170 technical papers.
Wellington P. dos Santos is Associate Professor, Department of Biomedical Engineering, Federal University of Pernambuco (UFPE), Recife, Brazil. PhD in Electrical Engineering from the Federal University of Campina Grande (UFCG), Campina Grande, Master in Electrical Engineering and Graduated in Electronic Electrical Engineering from UFPE, Recife, Brazil. His main research interests are: diagnostic support systems, digital epidemiology, applied neuroscience, serious games in health, and artificial intelligence applied to health.
Syed Ahmad Chan Bukhari is Assistant Professor and Director of Healthcare Informatics at St. John's University, New York. He received his Ph.D. in Computer Science from the University of New Brunswick, Canada, and then went on to complete his postdoctoral fellowship at Yale School of Medicine, where he worked with Stanford University, Centre of Expanded Data Annotation and Retrieval (CEDAR) to develop data submission pipelines to improve scientific experimental reproducibility.
Francesco Flammini is Professor of Computer Science at Mälardalen University, Sweden. He has been an Associate Professor leading the Cyber-Physical Systems environment at Linnaeus University, Sweden. He has worked for fifteen years in private and public companies, including Ansaldo STS (now Hitachi Rail) and IPZS (Italian State Mint and Polygraphic Institute), leading international projects addressing intelligent transportation and infrastructure security.