Data Science for COVID-19: Volume 2: Societal and Medical Perspectives

Dr. Utku Kose is an Associate Professor at Süleyman Demirel University, Turkey. He received his PhD from Selcuk University, Turkey, in the field of computer engineering. He has more than 100 publications to his credit, including Deep Learning for Medical Decision Support Systems, Springer; Artificial Intelligence Applications in Distance Education, IGI Global; Smart Applications with Advanced Machine Learning and Human-Centered Problem Design, Springer; Artificial Intelligence for Data-Driven Medical Diagnosis, DeGruyter; Computational Intelligence in Software Modeling, DeGruyter; Data Science for Covid-19, Volumes 1 and 2, Elsevier/Academic Press; and Deep Learning for Medical Applications with Unique Data, Elsevier/Academic Press, among others. Dr. Kose is a Series Editor of the Biomedical and Robotics Healthcare series from Taylor & Francis/CRC Press. His research interests include artificial intelligence, machine ethics, artificial intelligence safety, optimization, chaos theory, distance education, e-learning, computer education, and computer science.

Victor Hugo C. de Albuquerque [M’17, SM’19] is a collaborator Professor and senior researcher at the Graduate Program on Teleinformatics Engineering at the Federal University of Ceará, Brazil, and at the Graduate Program on Telecommunication Engineering, Federal Institute of Education, Science and Technology of Ceará, Fortaleza/CE, Brazil. He has a Ph.D in Mechanical Engineering from the Federal University of Paraíba (UFPB, 2010), an MSc in Teleinformatics Engineering from the Federal University of Ceará (UFC, 2007), and he graduated in Mechatronics Engineering at the Federal Center of Technological Education of Ceará (CEFETCE, 2006). He is a specialist, mainly, in Image Data Science, IoT, Machine/Deep Learning, Pattern Recognition, Robotic.

Ashish Khanna is an Associate Professor at Maharaja Agrasen Institute of Technology, New Delhi, India. He holds a Ph.D. from NIT Kurukshetra and completed his postdoctoral research at the Internet of Things Lab, Inatel, Brazil. He has authored numerous research articles, patents, textbooks, and edited books. He has served as a keynote speaker, resource person, Guest Editor, and Series Editor. His research interests include distributed systems (MANET, FANET, VANET, and IoT), machine learning, natural language processing (NLP), and evolutionary computing. He received the 2021 IEEE Systems Council Best Paper Award and has contributed to organizing several Springer conference series, including ICICC, ICDAM, DoSCI, and ICCCN. He is also a member of the IEEE Delhi Section Executive Committee.