Sedat Akleylek received the B.Sc. degree in Mathematics majored in Computer Science from Ege University in 2004 in Izmir, Turkey, M.Sc. and Ph.D. degrees in Cryptography from Middle East Technical University in 2008 and 2010, in Ankara, Turkey, respectively. He was a post-doctoral researcher at Cryptography and Computer Algebra Group, TU Darmstadt, Germany between 2014-2015. He is currently employed as a professor at the Department of Computer Engineering, Ondokuz Mayis University, Samsun, Turkey since 2022. He is a member of Chair of Security and Theoretical Computer Science, University of Tartu, Tartu, Estonia. He is a member of the editorial board of IEEE Access, Turkish Journal of Electrical Engineering and Computer Sciences, Peerj Computer Science, and International Journal of Information Security Science. He is co-chair of IEEE Turkey Blockchain Group. His research interests include the areas of post-quantum cryptography, algorithms and complexity, architectures for computations in finite fields, blockchain, applied cryptography for cyber security, malware analysis, IoT and fog computing. He has published more than 100 research papers in international journals, conference proceedings, book chapters and has solved several real-world security and data analytics problems for the industry.
Prof. Alatas received his B.S., M.S., and Ph.D. degrees from Firat University. He works as a Professor of Software Engineering at Firat University and he is the head of same department. He is the founder head of the Computer Engineering Department of Munzur University and Software Engineering Department of Firat University. His research interests include artificial intelligence, data mining, social network analysis, metaheuristic optimization, and machine learning. Dr. Alatas has published over 250 papers in many well-known international journals and proceedings of the refereed conference since 2001. He has been editor of twelve journals five of which are indexed in SCI and reviewer of seventy SCI-indexed journals.
Associate Professor of Data Assimilation and Atmospheric Chemistry at the Department of Hydrology and Atmospheric Sciences, University of Arizona (UA). He is also a faculty member of the following UA Graduate Interdisciplinary Programs (GIDP): Remote Sensing and Spatial Analysis and Applied Mathematics.
His research focuses on investigating human fingerprints in the atmosphere. His research combines numerical models and observations to study atmospheric constituents, especially those emitted from combustion-related activities, and how these constituents affect air quality, weather, climate, and our environment.
Dr Muhammad Asif is currently working as Director, Graduate Studies and Reserach and Tenured Associate Professor of Computer Science. He also served as Chairman of the Department of Computer Science at National Textile University, Faisalabad, till November 04, 2020. Before this, he was a research scholar in the Computer Science and Information Management Department at the Asian Institute of Technology, Thailand. He received his MS and Ph.D. from AIT in 2009 and 2012 on HEC foreign Scholarship. Over the time, he was a visiting researcher at the National Institute of Information Tokyo, Japan, where he worked on the design and development of a data collection system for infectious diseases through modern technologies. He has also worked on a very important project of the Pakistan Air Force (PAF) related to Pakistan's Air Traffic Control System. He was mainly involved in the architectural design of the systems as a software engineer. Asif is actively involved in teaching research and administration activities at the national textile University Faisalabad. He has Two PhD students who graduated in his credit and fifty-five plus MS and BS level students. He has won funded projects of more than Three Hundred (300) million from National and International funding agencies. He enjoys more than 200 impact factors from his research publications in top-class computer science journals and allied domains. He is also serving as Associate Editor of many top journals of computer science, namely, IEEE Access (IF 3.37), PlosOne (IF 3.752), Peerj Computer Science (IF 2.41), CMC (IF 3.77) and Frontiers in Communications and Networks. He is a reviewer of several reputed journals and authored a number of research papers in reputed journals and conferences. He is also a permanent member of the Punjab Public Service Commission (PPSC) as an advisor and program evaluator at the National Computing Education Accreditation Council (NCEAC) Islamabad.
A. Taufiq Asyhari received the BEng (Hons) degree in Electrical and Electronic Engineering from Nanyang Technological University, Singapore, in 2007, and the PhD degree in Information Engineering from the University of Cambridge, UK, in 2012. He is Professor of Data Science at Monash University, Indonesia and Visiting Professor of Future Communication Systems at Birmingham City University, UK. He has been an Academic Visitor at Cranfield University, UK, and Telkom University, Indonesia. He previously held full-time/visiting positions at National Chiao Tung University, Bell Laboratories, and the University of Stuttgart. His research interests include the areas of information theory, communication and coding theory, and signal processing techniques with applications to wireless and molecular communication networks, the Internet of Things, and data analytics.
Dr Asyhari is a Fellow of the Higher Education Academy, UK and Senior Member of IEEE. He has served as a member of the Editorial Board and the Technical Program Committee in numerous leading international journals and conferences. He is currently the Academic Lead for the multi-million pound 5G Connected Forest project funded by the UK DCMS. He received the notable Samsung Global Research Outreach Award, in 2017, the Silver Medal at the International Trade Fair iENA 2017, the IEEE-EURASIP Best Paper Award at ISWCS 2014, the National Science Council of Taiwan Starting Grant, in 2013, and the Cambridge Trust - Yousef Jameel Scholarship.
Dr. Khursheed Aurangzeb is Associate Professor in Department of Computer Engineering at College of Computer and Information Sciences at King Saud University (KSU), Riyadh, Saudi Arabia. He received his Ph.D. degree in Electronics Design from Mid Sweden University Sweden in June 2013, MS degree in Electrical Engineering (System on Chip Design) from Linkoping University, Sweden in 2009. He received his B.S. degree in Computer Engineering from COMSATS Institute of Information Technology Abbottabad, Pakistan in 2006. He has authored and co-authored more than 70 publications including IEEE / ACM / Springer / Hindawi / MDPI journals, and flagship conference papers. He has obtained more than fifteen years of excellent experience as instructor and researcher in data analytics, machine/deep learning, signal processing, electronics circuits/systems and embedded systems. He has been involved in many research projects as a principal investigator and a co-principal investigator. His research interest are in the diverse fields of embedded systems, computer architecture, VLSI, signal processing, wireless sensor networks, camera based sensor networks, AI/ML/DL and smart grids with an emphasis on big data, precision agriculture, machine/deep learning, embedded and pervasive computing, mobile cloud computing and healthcare.
Lerina Aversano is an associate professor at the Department of Engineering of the University of Sannio Benevento (Italy). She received the Ph.D. in Computer Engineering in July 2003 at the same University and was assistant professor from 2005. She also was a research leader at RCOST – Research Centre On Software Technology – of the University of Sannio from 2005. Her research interests include software quality, software maintenance and evolution, program comprehension, refactoring, evolution, technical debt, data integration.
Member of the "Laboratoire de combinatoire et d'informatique mathématique" (LaCIM) of Université du Québec à Montréal, that initially explored the interplay between combinatorics and computer science. In the mid 90s, it began to include computational biology in the mix.
I received the Laurea degree in Computer Science Engineering from the University of Naples Federico II, Italy, in 2003 and the Ph.D. degree in Information Engineering from the University of Sannio in 2007.
Since 2003 I have worked as a researcher in the field of software engineering writing more than 90 papers published in journals and conference proceedings. My main research interests include software maintenance and testing, software reuse, software reverse engineering, and re-engineering, with a particular interest in software modularization.
I also served both as a member of the program and organizing committees of several international conferences, and as a reviewer of papers submitted to some of the main journals and magazines in the field of data and process mining, software engineering, software maintenance, program comprehension, and the application of computational intelligence approaches in the above fields.
Currently, I am an Senior Researcher at University of Sannio, holding the course of "Pervasive Computing".
I graduated at the Computer Science Department (DI) of the University of Milano.
Presently I am an associate professor at the Computer Science Department of the University of Milano. My current research interests are: Distributed systems, anonymity, Sense of direction, Models of computation over the reals, Concurrency theory, Applied graph theory, Web crawling and indexing, Web graphs
Dr Tossapon Boongoen obtained his PhD in Computer Science from Cranfield University, UK (in 2003), and his 2-year PostDoc in Aberystwyth University, UK (2007-08). His research interest includes AI, machine/deep learning, image analysis and pattern recognition, fuzzy systems and security. He serves as an Associate Editor for several international journals like IEEE Access.
Head of Human and Comparative Genomics Laboratory in the Biodesign Institute at Arizona State University. Affiliated faculty with the Center for Evolution and Medicine, ASU.
My research is at the interface of genetics, statistics, and software development. I am primarily interested in developing statistical models to estimate evolutionary process from large, genomic datasets. Currently most of my research is connected to mutations.