Academic Editors
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.
Sándor Szénási
Sándor Szénási has earned his MSc degree in 2004 from Faculty of Informatics of Eötvös Loránd University, Budapest. He has received his PhD in 2013 from Doctoral School of Applied Informatics (GSAI) of Óbuda University, Budapest.
Currently, he is an associate professor in the Institute of Applied Informatics of John von Neumann Faculty of Informatics, Óbuda University, Budapest. He is the leader of the local CUDA Teaching Center.
His research areas are (data) parallel algorithms, GPU programming and medical image processing. He engages both in theoretical fundamentals and in algorithmic issues with respect to realization of practical requirements and given constraints.
He is the member of the John von Neumann Computer Society and IEEE, and also a reviewer of several conferences and journals.
Othman Soufan
Assistant Professor, Alley Heaps Associate, Computer Science Department, St. Francis Xavier University. The Soufan Lab aims to advance life sciences by developing innovative methods, systems and resources for targeted knowledge discovery from biological data.
Yue Zhang
Yue Zhang is an assistant professor at Drexel University’s Computer Science department. His research primarily focuses on system security, specifically in the areas of IoT Security and mobile security. He has published more than 40 papers in security conferences (e.g., USENIX Security, ACM CCS, and NDSS) and journals (e.g., TDSC, TPDS). He received a Best Paper Honorable Mention Award at ACM CCS 2022, and the Best Paper Award at 2019 IEEE International Conference on Industrial Internet. He has also served on the organization committees of the conferences (e.g., general chair of EAI ICECI, track chair for IEEE MSN and IEEE MASS) and technical program committee of the conferences (e.g., USENIX Security, NDSS, ACM CCS, RAID). He serves as an Associate Editor for IEEE T-IFS, HCC and Editor Member of the Blockchain Journal, Electronics Journal, and CMC. His research had led to the discovery of many vendor-acknowledged vulnerabilities, such as by Bluetooth SIG, Apple, Google, and Texas Instruments, and had attracted intense media attention such as Hacker News, and Mirage News.
Jin-Kao Hao
Distinguished Professor of Computer Science, Université d'Angers (France); Senior Fellow of the French "Institut Universitaire de France", Working on computational methods for large scale and complex combinatorial optimization problems.
Harry Hochheiser
My research has covered a range of topics, including human-computer interaction, information visualization, bioinformatics, universal usability, security, privacy, and public policy implications of computing systems. I am currently working on a variety of NIH-funded projects, including areas such as bioinformatics research portals, visualization for review of chart records, and tools for aiding the discovery of animal models of human diseases.
Varun Gupta
Varun Gupta received his Doctorate (cum laude) in Organizational Engineering, Doctorate (International/European Doctorate, Cum Lade) in Economics and Business Management, as well as in Computer Science and Engineering. He also earned his MBA (General), Máster en Dirección Internacional de Empresas, Master of Technology (By Research) in Computer Science & Engineering, and Bachelor of Technology (Hons.) in Computer Science & Engineering.
He is a Professor of Digital Innovation and Head of the Multidisciplinary Research Centre for Innovations in SMEs (MrciS) at Gisma University of Applied Sciences, Potsdam, Germany. Previously, he was associated with University of Toronto (Canada), Leicester University (United Kingdom), Universidad de Alcalá (Spain), Software Engineering Research Group (SERG), Lund University (Sweden), Sapienza Università di Roma (Italy), Free University of Bozen-Bolzano (Italy), University of South-Eastern Norway (Norway), Poznań University of Technology (Poland), Uniwersytet Szczeciński (Poland).
Prof. Gupta is an Associate Editor of IEEE Access (an SCIE Indexed publication of IEEE), PeerJ Computer Science (an SCIE-indexed publication of PeerJ), PLOS One (an SCIE-indexed publication of PLOS), International Journal of Computer Aided Engineering & Technology (Scopus-indexed publication of Inderscience Publishers), IEEE Software blog, and Journal of Cases on Information Technology (ESCI & Scopus Indexed publication of IGI Global), and is a former editorial team member of the British Journal of Educational Technology (BJET) (an SCIE indexed publication of Wiley). Prof. Gupta has worked on multiple projects that have been supported by various agencies such as the European Union and the Spanish National Programme. His area of interest is evidence-based software engineering, innovation management, Digital Transformations and Innovation, Technology Adoptions in SMEs, entrepreneurship, and international business management.
Gang Mei
Dr. Gang Mei is an Associate Professor in Scientific Computing in Engineering at China University of Geosciences (Beijing). He received his Ph.D degree in 2014 from the University of Freiburg in Germany. His main research interests are in the areas of Numerical Simulation and Computational Modeling, GPU Computing, Machine Learning, Data Mining, and Network Science and Applications. He is the IEEE Member, and has served as an Academic Editor for the journals IEEE Access, and PeerJ Computer Science.
Catherine E Myers
Dr. Myers joined the Neurobehavioral Research Lab at VA NJHCS in 2009 and joined NJMS as a Professor in 2011. Her research interests focus on understanding the brain substrates of learning and memory, using techniques including computational neuroscience and human experimental neuropsychology.
She has authored and co-authored over 100 peer-reviewed scientific articles and several books including the undergraduate-level textbook “Learning and Memory: From Brain to Behavior.”
Pengcheng Liu
Pengcheng Liu is a member of IEEE, IEEE Robotics and Automation Society (RAS), IEEE Control Systems Society (CSS) and International Federation of Automatic Control (IFAC). He is also a member of the IEEE Technical Committee on Bio Robotics, Soft Robotics, Robot Learning, and Safety, Security and Rescue Robotics. Dr Liu is an Associate Editor of IEEE Access, PeerJ Computer Science, and he received the Global Peer Review Awards from Web of Science in 2019, and the Outstanding Contribution Awards from Elsevier in 2017. He has published over 70 papers on flagship journals and conferences. He was nominated as a regular Funding/Grants reviewer for EPSRC, NIHR and NSFC and he has been leading and involving in several research projects and grants, including EPSRC, Newton Fund, Innovate UK, Horizon 2020, Erasmus Mundus, FP7-PEOPLE, NSFC, etc. He serves as reviewers for over 30 flagship journals and conferences in robotics, AI and control. His research interests include robotics, machine learning, automatic control and optimization.
Rowayda A. Sadek
Prof Rowayda A. Sadek is Professor of Network Engineering, Helwan University, Cairo, Egypt. She received her Ph.D. in Communication and Electronics, and Electrical Engineering from the Faculty of Engineering, Alexandria University, Egypt. Prof. Sadek is the founder and the Director of the Hub of Creativity and Scientific Research, Helwan University. She is URSI senior member and also the General Secretary, URSI – Egypt, IEEE member. Her research interest focuses on Network Engineering, Network Security, Wireless and Mobile Networking and Communication, Multimedia (signal, image, speech, video) Processing, Cloud Computing and the Internet of Things.
Diego R Amancio
Diego Raphael Amancio is an Associate Professor at University of São Paulo (Brazil). His research interest includes complex networks, machine learning, data mining, science of science, scientometrics, natural language processing and complex systems.
Binh P. Nguyen
Senior Lecturer in Data Science at the School of Mathematics and Statistics in Victoria University of Wellington (New Zealand). Former Scientist at the Institute of High Performance Computing, A*STAR (Singapore). Former Research Fellow at Duke-NUS Medical School and National University of Singapore (Singapore).