The following people constitute the Editorial Board of Academic Editors for PeerJ Computer Science. These active academics are the Editors who seek peer reviewers, evaluate their responses, and make editorial decisions on each submission to the journal. Learn more about becoming an Editor.
Karl Aberer is a full professor for Distributed Information Systems at EPFL Lausanne, Switzerland, since 2000; from 2005 to 2012 the director of the Swiss National Research Center for Mobile Information and Communication Systems (NCCR-MICS, www.mics.ch); since September 2012 he is Vice-President of EPFL responsible for information systems; member of the editorial boards of VLDB Journal, ACM Transaction on Autonomous and Adaptive Systems and World Wide Web Journal.
Dr. Berdakh Abibullaev received his M.Sc. and Ph.D. degrees in electronic engineering from Yeungnam University, South Korea in 2006, and 2010, respectively. He held research scientist positions at Daegu-Gyeongbuk Institute of Science and Technology (2010-2013) and at Samsung Medical Center, Seoul, South Korea (2013-2014). In 2014, he received the National Institute of Health postdoctoral fellowship to join a multi-institutional research project between the University of Houston and Texas Medical Center in developing neural interfaces for rehabilitation. He is currently an Assistant Professor at Robotics Department, Nazarbayev University, Kazakhstan. His research focuses on machine learning algorithms, neural signal processing and Brain-Computer/Machine Interfaces.
Professor in Computer Science at Mälardalen University, Sweden, specialising in research areas such as software testing, software quality, software metrics and empirical software engineering in general.
Giuseppe Agapito is an Assistant Professor and a senior research scientist in the field of Parallel and Distributed Computing, Machine Learning and Graph Theory at the University Magna Græcia, Catanzaro. His research interests focus on the study of machine learning methods that can be used to take advantage of the vast amount of data that are produced nowadays. In particular, the research focuses on the development, implementation, and application of computational intelligence techniques for addressing complex real-world problems in different domains, especially in the field of biology and omics sciences.
Giuseppe Agapito has published his research in various top-quality academic outlets, with more than 100 papers in international journals and conference proceedings. He serves as a reviewer for several scientific journals and a chair and program committee member of several national and international conferences.
Assistant Professor in the department of computer systems technology at North Carolina A & T State University. Research interests: Big data Analytics, Cloud Computing, Topic Modelling, and Geo Spatial information systems. Member of IEEE, ACM, and ASEE. Published more than 50 referred journal and conference papers and 4 book chapters.
Ayaz Ahmad is currently serving as Assistant Professor in the Department of Electrical and Computer Engineering, COMSATS University Islamabad - Wah Campus, Wah Cantt., Pakistan. He obtained his MS and Ph.D. degrees both in Telecommunication from Ecole Superieure d’Electricite (Supelec), Gif-sur-Yvette, France, in 2008 and 2011, respectively. He obtained his B.Sc. in Electrical Engineering from University of Engineering and Technology, Peshawar, Pakistan in 2006. From 2006 to 2007, he was a faculty member at the Department of Electrical Engineering, FAST-NUCES, Peshawar, Pakistan. Ayaz has several years of research experience and has authored/coauthored several scientific publications in various refereed international journals and conferences. He has also published several book chapters and is the leading co-editor of the book entitled, "Smart Grid as a Solution for Renewable and Efficient Energy" published in 2016. He is currently an Associate Editor with IEEE Access, and Springer Human-centric Computing and Information Sciences. He has also served as the guest editor of two special issues for IEEE Access. He is Senior Member of IEEE. His research interests include resource allocation in wireless communication systems, energy management in smart grid, and application of optimization methods to engineering problems.
Ghufran Ahmad's research focuses on microeconomic theory specifically dealing with resource allocation, social choice, and matching problems. He is currently working as an Assistant Professor at NUST Business School, Pakistan.
He received his B.Sc. (Hons) in Economics from Lahore University of Management Sciences, Pakistan in 2012. After that, he joined Texas A&M University in College Station, TX, USA to pursue his Ph.D. in Economics, completing it in 2017 under the supervision of Dr. Guoqiang Tian and Dr. Vikram Manjunath.
Dr. Irfan Ahmad is an Assistant Professor in Information and Computer Science department at King Fahd University of Petroleum and Minerals (KFUPM), Dhahran, Saudi Arabia. He received his PhD in Computer Science from TU Dortmund, Germany in 2017.
Dr. Ahmad's research interests are in the areas of pattern recognition especially in document-image analysis, handwriting recognition, and machine-printed text recognition. In addition, he is also interested in machine learning and its applications including deep learning and natural language processing (NLP).
Dr. Imran Ahmed is an Associate Professor at the Institute of Management Sciences (IMSciences) in Pakistan. He received his PhD (Computer Science) from the University of Southampton, UK and has extensive teaching and research experience.
Dr. Ahmed's primary research interests include Data Science, Machine Learning, Computer Vision and Image Processing.
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.
Tawfik Al-Hadhrami is currently working as a Senior Lecturer at Nottingham Trent University, UK. He received his MSc degree in IT/Applied System Engineering from Heriot-Watt University, Edinburgh, United Kingdom. He received his PhD degree in Mesh Communication and IoT from the University of the West of Scotland, Glasgow, UK, 2015. He was involved in research at the University of the West of Scotland, Networking Group. He is an Associate Editor for IEEE Access, PeerJ computer Science, Frontiers in Communications and Networks (IoT and Sensor Networks) and International Journal of Cyber Forensics and Advance Threat Investigations journals. His research interest includes the Internet of Things (IoT) and Applications, Data Science, Network Infrastructures & Emerging Technologies, Artificial Intelligence, Computational Intelligence and 5/6G Wireless Communications. He has established collaboration with the different international institutions over the world. He is a member of the Network Infrastructure and Cyber Security group (NICS) at NTU. He is involved in different projects with industries.
Vicente Alarcon-Aquino received his Ph.D. and D.I.C. degrees in Electrical and Electronic Engineering from Imperial College London, London, U.K. in 2003. He is currently a full Professor and former department head in the department of computing, electronics, and mechatronics at the Universidad de las Americas Puebla, Mexico. In 2017, he spent a short-term research stay as a Visiting Senior Research Fellow in the Department of Informatics at King's College London, UK. He has authored over 180 research articles in several refereed journals and conference proceedings, has written a book on MPLS networks, and has several citations to his research articles. He has served as Guest Editor for the Journal of Universal Computer Science, and is currently acting as an Associate Editor for IEEE Access Journal and as an Academic Editor for PeerJ Computer Science. He is a Senior Member of IEEE, belongs to the Mexican National System of Researchers, and has been elected to membership of the Mexican Academy of Sciences. His current research interests include cybersecurity, network monitoring, anomaly detection, wavelet analysis, and machine learning.