Utku Kose is an Associate Professor at Suleyman Demirel University, Turkey. He received a B.S. degree in 2008 from the computer education of Gazi University, Turkey. He received an M.S. degree in 2010 from Afyon Kocatepe University, Turkey, and D.S./Ph. D. degree in 2017 from Selcuk University, Turkey. He has over 100 publications including journal articles, authored and edited books, proceedings, and reports. He is also one of the series editors of the Biomedical and Robotics Healthcare Series, CRC Press. His research interest areas are artificial intelligence, machine ethics, artificial intelligence safety, optimization, chaos theory, distance education, e-learning, computer education, and computer science. Junzo Watada received his B.Sc. and M.Sc. degrees in electrical engineering from Osaka City University, Japan, and his Ph.D. degree from Osaka Prefecture University, Japan. He is currently a Professor at the Department of Computer and Information Sciences, UniversitiTeknologi PETRONAS, and Professor Emeritus at Waseda University. He received the Henri Coanda Medal Award from Inventico in Romania in 2002. He is a Life Fellow of the Japan Society for Fuzzy Theory and intelligent informatics (SOFT). Prof. Watada is an IEEE senior member, Executive Chair of ISME, WCICME, a vice-president and life member, Forum of Interdisciplinary Mathematics. He contributes to editing various international journals as an editorial board member of more than 30 journals. His professional interests include artificial neural networks, human-centric data mining, soft computing, tracking systems, knowledge engineering, financial engineering, and management engineering.Omer Deperlioglu received his B.Sc. in Electric and Electronic (1988) from Gazi University, M.Sc. in Computer Science (1996) from Afyon Kocatepe University, Ph.D. in Computer Science (2001) from Gazi University. He is an Associate Professor of Computer Programming in the Department of Science, Vocational School of Afyon, Afyon Kocatepe University of Afyon, Turkey. His current research interests include different aspects of Artificial Intelligence applied in Power Electronics, Biomedical, and Signal Processing. He has edited a book and (co-) authored three books and over 50 papers.Jose Antonio Marmolejo is a Professor at Panamerican University, Mexico. He received his Doctorate in Operations Research (Hons) from the National Autonomous University of Mexico. At present, Prof. Marmolejo has the second-highest country-wide distinction granted by the Mexican National System of Research Scientists for scientific merit (SNI Fellow, Level 2). He is a member of the Network for Decision Support and Intelligent Optimization of Complex and Large Scale Systems, Mexican Society for Operations Research, and System Dynamics Society. He has authored over thirty research articles in journals, books, and conference proceedings. His research areas are operations research, largescale optimization techniques, computational techniques, analytical methods for planning, operations, and control of electric energy and logistic systems, sustainable supply chain design, and digital twins in supply chains.

• ​Image Processing for Computational Intelligence against COVID-19.- Design of Computational Intelligence against COVID-19.- Data Processing for Computational Intelligence against COVID-19.- Geoprocessing/Tracking based Computational Intelligence for COVID-19.- Computational Intelligence based Diagnosis for COVID-19.- Predictive Computational Intelligence Systems for COVID-19.- Computational Intelligence based mobile technology solutions for COVID-19.- Computational Intelligence based treatment for COVID-19.- Public Safety oriented Computational Intelligence applications for COVID-19.- Internet of Health Things (IoHT) against COVID-19.- Big Data and Computational Intelligence for COVID-19.- New Data Models to be used by Computational Intelligence against COVID-19.- Predictive Computational Intelligence for future pandemics.- Future pandemics analyze with Computational Intelligence.- Vaccine / drug discovery with Computational Intelligence against COVID-19.- Intelligent optimization and Computational Intelligence for pandemics.- Reinforcement Computational Intelligence for pandemics precautions.- Managerial applications by Computational Intelligence for COVID-19 and pandemics.

Utku Kose is an Associate Professor at Suleyman Demirel University, Turkey. He received a B.S. degree in 2008 from the computer education of Gazi University, Turkey. He received an M.S. degree in 2010 from Afyon Kocatepe University, Turkey, and D.S./Ph. D. degree in 2017 from Selcuk University, Turkey. He has over 100 publications including journal articles, authored and edited books, proceedings, and reports. He is also one of the series editors of the Biomedical and Robotics Healthcare Series, CRC Press. His research interest areas are artificial intelligence, machine ethics, artificial intelligence safety, optimization, chaos theory, distance education, e-learning, computer education, and computer science. Junzo Watada received his B.Sc. and M.Sc. degrees in electrical engineering from Osaka City University, Japan, and his Ph.D. degree from Osaka Prefecture University, Japan. He is currently a Professor at the Department of Computer and Information Sciences, UniversitiTeknologi PETRONAS, and Professor Emeritus at Waseda University. He received the Henri Coanda Medal Award from Inventico in Romania in 2002. He is a Life Fellow of the Japan Society for Fuzzy Theory and intelligent informatics (SOFT). Prof. Watada is an IEEE senior member, Executive Chair of ISME, WCICME, a vice-president and life member, Forum of Interdisciplinary Mathematics. He contributes to editing various international journals as an editorial board member of more than 30 journals. His professional interests include artificial neural networks, human-centric data mining, soft computing, tracking systems, knowledge engineering, financial engineering, and management engineering.Omer Deperlioglu received his B.Sc. in Electric and Electronic (1988) from Gazi University, M.Sc. in Computer Science (1996) from Afyon Kocatepe University, Ph.D. in Computer Science (2001) from Gazi University. He is an Associate Professor of Computer Programming in the Department of Science, Vocational School of Afyon, Afyon Kocatepe University of Afyon, Turkey. His current research interests include different aspects of Artificial Intelligence applied in Power Electronics, Biomedical, and Signal Processing. He has edited a book and (co-) authored three books and over 50 papers.Jose Antonio Marmolejo is a Professor at Panamerican University, Mexico. He received his Doctorate in Operations Research (Hons) from the National Autonomous University of Mexico. At present, Prof. Marmolejo has the second-highest country-wide distinction granted by the Mexican National System of Research Scientists for scientific merit (SNI Fellow, Level 2). He is a member of the Network for Decision Support and Intelligent Optimization of Complex and Large Scale Systems, Mexican Society for Operations Research, and System Dynamics Society. He has authored over thirty research articles in journals, books, and conference proceedings. His research areas are operations research, largescale optimization techniques, computational techniques, analytical methods for planning, operations, and control of electric energy and logistic systems, sustainable supply chain design, and digital twins in supply chains.

• ​Image Processing for Computational Intelligence against COVID-19.- Design of Computational Intelligence against COVID-19.- Data Processing for Computational Intelligence against COVID-19.- Geoprocessing/Tracking based Computational Intelligence for COVID-19.- Computational Intelligence based Diagnosis for COVID-19.- Predictive Computational Intelligence Systems for COVID-19.- Computational Intelligence based mobile technology solutions for COVID-19.- Computational Intelligence based treatment for COVID-19.- Public Safety oriented Computational Intelligence applications for COVID-19.- Internet of Health Things (IoHT) against COVID-19.- Big Data and Computational Intelligence for COVID-19.- New Data Models to be used by Computational Intelligence against COVID-19.- Predictive Computational Intelligence for future pandemics.- Future pandemics analyze with Computational Intelligence.- Vaccine / drug discovery with Computational Intelligence against COVID-19.- Intelligent optimization and Computational Intelligence for pandemics.- Reinforcement Computational Intelligence for pandemics precautions.- Managerial applications by Computational Intelligence for COVID-19 and pandemics.

Utku Kose is an Associate Professor at Suleyman Demirel University, Turkey. He received a B.S. degree in 2008 from the computer education of Gazi University, Turkey. He received an M.S. degree in 2010 from Afyon Kocatepe University, Turkey, and D.S./Ph. D. degree in 2017 from Selcuk University, Turkey. He has over 100 publications including journal articles, authored and edited books, proceedings, and reports. He is also one of the series editors of the Biomedical and Robotics Healthcare Series, CRC Press. His research interest areas are artificial intelligence, machine ethics, artificial intelligence safety, optimization, chaos theory, distance education, e-learning, computer education, and computer science. Junzo Watada received his B.Sc. and M.Sc. degrees in electrical engineering from Osaka City University, Japan, and his Ph.D. degree from Osaka Prefecture University, Japan. He is currently a Professor at the Department of Computer and Information Sciences, UniversitiTeknologi PETRONAS, and Professor Emeritus at Waseda University. He received the Henri Coanda Medal Award from Inventico in Romania in 2002. He is a Life Fellow of the Japan Society for Fuzzy Theory and intelligent informatics (SOFT). Prof. Watada is an IEEE senior member, Executive Chair of ISME, WCICME, a vice-president and life member, Forum of Interdisciplinary Mathematics. He contributes to editing various international journals as an editorial board member of more than 30 journals. His professional interests include artificial neural networks, human-centric data mining, soft computing, tracking systems, knowledge engineering, financial engineering, and management engineering.Omer Deperlioglu received his B.Sc. in Electric and Electronic (1988) from Gazi University, M.Sc. in Computer Science (1996) from Afyon Kocatepe University, Ph.D. in Computer Science (2001) from Gazi University. He is an Associate Professor of Computer Programming in the Department of Science, Vocational School of Afyon, Afyon Kocatepe University of Afyon, Turkey. His current research interests include different aspects of Artificial Intelligence applied in Power Electronics, Biomedical, and Signal Processing. He has edited a book and (co-) authored three books and over 50 papers.Jose Antonio Marmolejo is a Professor at Panamerican University, Mexico. He received his Doctorate in Operations Research (Hons) from the National Autonomous University of Mexico. At present, Prof. Marmolejo has the second-highest country-wide distinction granted by the Mexican National System of Research Scientists for scientific merit (SNI Fellow, Level 2). He is a member of the Network for Decision Support and Intelligent Optimization of Complex and Large Scale Systems, Mexican Society for Operations Research, and System Dynamics Society. He has authored over thirty research articles in journals, books, and conference proceedings. His research areas are operations research, largescale optimization techniques, computational techniques, analytical methods for planning, operations, and control of electric energy and logistic systems, sustainable supply chain design, and digital twins in supply chains.

• ​Image Processing for Computational Intelligence against COVID-19.- Design of Computational Intelligence against COVID-19.- Data Processing for Computational Intelligence against COVID-19.- Geoprocessing/Tracking based Computational Intelligence for COVID-19.- Computational Intelligence based Diagnosis for COVID-19.- Predictive Computational Intelligence Systems for COVID-19.- Computational Intelligence based mobile technology solutions for COVID-19.- Computational Intelligence based treatment for COVID-19.- Public Safety oriented Computational Intelligence applications for COVID-19.- Internet of Health Things (IoHT) against COVID-19.- Big Data and Computational Intelligence for COVID-19.- New Data Models to be used by Computational Intelligence against COVID-19.- Predictive Computational Intelligence for future pandemics.- Future pandemics analyze with Computational Intelligence.- Vaccine / drug discovery with Computational Intelligence against COVID-19.- Intelligent optimization and Computational Intelligence for pandemics.- Reinforcement Computational Intelligence for pandemics precautions.- Managerial applications by Computational Intelligence for COVID-19 and pandemics.