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.
Luca Ardito
Luca Ardito is an Assistant Professor at the Department of Control and Computer Engineering at Politecnico di Torino, where he works in the Software Engineering research group. He received BSc, MSc, and Ph.D. in Computer Engineering from Politecnico di Torino. His current research interests are mobile development and testing, green software, new programming language analysis, and empirical software engineering methodologies.
Giancarlo Sperlì
Giancarlo Sperlì is an assistant professor at the Department of Electrical Engineering and Information Technology of the University of Naples Federico II.
He obtained his PhD in Information Technology and Electrical Engineering at the same University defending his thesis: "Multimedia Social Networks".
He is a member of the Pattern Analysis and Intelligent Computation for Multimedia Systems (PICUS) departmental research groups. His main research interests are in the area of Cybersecurity, Semantic Analysis of Multimedia Data and Social Networks Analysis.
He has served as guest editor of different special issues on International Journals. Finally, he has authored about 118 publications in international journals, conference proceedings and book chapters.
Ayaz Ahmad
Ayaz Ahmad is currently an Associate Professor with the Department of Electrical and Computer Engineering, COMSATS University Islamabad – Wah Campus, Pakistan. Prior to that he was anAssistant Professor in the same university. He received the B.Sc. degree in electrical engineering from the University of Engineering and Technology, Peshawar, Pakistan, in 2006, and the M.S. and Ph.D. degrees in Wireless Communication from Ecole Superieure d'Electricite (Supelec), Gif-sur-Yvette, France, in 2008 and 2011, respectively. From 2006 to 2007, he was a Faculty Member with the Department of Electrical Engineering, FAST-NUCES, Peshawar, Pakistan. He is the recipient of best research paper award from Higher Education Commission, Pakistan for the years 2015 -2016, National Research Productivity Award from Pakistan Council of Science and Technology (PSCT) in 2017, best research paper award in IEEE IEMCON 2018 held in Canada, and Publon Top Peer Reviewer award in 2019. He has several years of research experience and has authored or co-authored several scientific publications in various refereed international journals and conferences. He has also authored or co-authored several book chapters, and is the leading Co-Editor of the book Smart Grid as a Solution for Renewable and Efficient Energy published in 2016. He is Associate Editor with IEEE Access, Human-centric Computing and Information Sciences, PeerJ Computer Science and Frontiers in Smart Grids. He has twice served as Guest Editor for the IEEE ACCESS. He is regularly serving as a TPC member for several international conferences, including IEEE GLOBECOM, IEEE ICC and IEEE PIMRC, and as a reviewer for several renowned international journals. He is Senior Member IEEE and Associate Fellow of Advance HE, UK. He is a member of the IEEE Communication Society. He is expert in Outcome Based Education system. His research interests include resource allocation in wireless communication systems, energy management in smart grid, and the application of optimization methods to engineering problems.
Arie van Deursen
Professor in Software Engineering at Delft University of Technology.
Miriam Leeser
Miriam Leeser is Professor of Electrical and Computer Engineering at Northeastern University. She has been doing research in hardware accelerators, including FPGAs and GPUs, for decades, and has done ground breaking research in floating point implementations, unsupervised learning, medical imaging and privacy preserving data processing. She received her BS degree in Electrical Engineering from Cornell University, and Diploma and Ph.D. Degrees in Computer Science from Cambridge University in England. She has been a faculty member at Northeastern since 1996, where she is head of the Reconfigurable Computing Laboratory and a member of the Computer Engineering group. She is a senior member of ACM, IEEE and SWE. Throughout her career she has been funded by both government agencies and companies, including DARPA, NSF, Google, MathWorks and Microsoft. She is the recipient of an NSF Young Investigator Award and the prestigious Fulbright Scholar Award.
My research group website is: https://rcl.sites.northeastern.edu/
Shuihua Wang
Shuihua Wang received her B.S. Degree in information science and engineering from Southeast University in Nanjing, China, in 2008; the M. S. degree in Electrical Engineering from the City College of New York, USA in 2012, and the Ph. D degree in Electrical Engineering from Nanjing University, Nanjing, China, in 2017. She visited Kyushu Institute of Technology in 2017. From 2013 to 2018 she joined Nanjing Normal University, and worked as an assistant professor. From 2018-2019, she served in Loughborough University. She is now working as a research associate at the University of Leicester. Her research interests focus on Machine learning, Deep learning, biomedical image processing. She has published over 30 papers in peer-reviewed international journals and conferences in these research areas. She was serving as a professional reviewer for many well-reputed journals and conferences including IEEE Transactions on Neural Networks and Learning Systems, Neuron Computing, Pattern recognition, scientific reports, and so on. She is currently serving as Guest Editor-in-Chief of Multimedia Systems and Applications, Associate editor of Journal of Alzheimer’s Disease and IEEE Access. She is a member of the IEEE.
Maurice H. ter Beek
Maurice ter Beek coordinates the Formal Methods and Tools group of the Institute of Information Science and Technologies (ISTI) of the Italian National Research Council (CNR) in Pisa, Italy, where he's affiliated since 2003, when he obtained a Ph.D. in Theoretical Computer Science from the University of Leiden in the Netherlands. He has authored over 125 peer-reviewed papers, edited over 25 proceedings and special issues of journals, and next to PeerJ CS he is an editorial board member of the International Journal on Software Tools for Technology Transfer, Journal of Logical and Algebraic Methods in Programming, Science of Computer Programming, and ERCIM News. His research interests concern formal methods and model-checking tools for the specification and verification of safety-critical software systems, recently in particular for applications in service-oriented computing, software product line engineering, and railways. He is or has been PC member or chair of conferences like FM, iFM, FASE, FMICS, FormaliSE, SEFM, SPIN, SPLC, VaMoS, ABZ, AVoCS, COORDINATION, FORTE, RSSRail, and ACSD. He is member of the Steering Committees of the Formal Methods for Industrial Critical Systems (FMICS), Variability Modelling of Software-Intensive Systems (VaMoS) and Systems and Software Product Line Conference (SPLC) series.
Aswani Kumar Cherukuri
Dr. Aswani Kumar Cherukuri is a Professor at Vellore Institute of Technology (VIT), India. His research interests include information security and machine learning. Aswani Kumar earned the Young Scientist Fellowship from Tamilnadu State Council for Science and Technology and was awarded the Inspiring Teacher Award from The Indian Express (India’s leading English daily newspaper). He has worked on various research projects funded by the Government of India’s Department of Science and Technology, the Department of Atomic Energy, and the Ministry of Human Resources Development. Aswani Kumar has published more than 150 refereed research articles in various national/international journals and conferences and is an editorial board member for several international journals. He is a Senior Member and distinguished speaker of the Association for Computing Machinery (ACM), a member of the Institute of Electrical and Electronics Engineers (IEEE), and Vice-Chair of the IEEE Taskforce on Educational Data Mining. Aswani Kumar earned a PhD in informational retrieval, data mining, and soft-computing techniques from VIT.
Daniel Graziotin
Daniel Graziotin is a full professor of information systems and digital technologies at the University of Hohenheim, Germany. He earned his PhD in computer science and software engineering from the Free University of Bozen-Bolzano, Italy. His research focuses on interdisciplinary and multidisciplinary approaches, incorporating theories, methods, and measurements from social and behavioral sciences, to enhance the understanding and integration of human factors in technology development and implementation.
Prof. Dr. Daniel Graziotin is academic editor at the PeerJ Computer science journal, academic editor at the Research Ideas and Outcomes journal, editorial advisory board member at the Journal of Open Research Software, and editorial board member at the Empirical Software Engineering journal. He has also served on the organizing committees of multiple international research conferences (ICSE, ESEC/FSE, ESEM, XP, PROFES) and workshops (CHASE, SEmotion) as well as serving on dozens of program committees. He drives the open science initiative at the ACM Special Interest Group on Software Engineering (SIGSOFT) to foster the practice of open access, open data, and open source at the various research venues in software engineering.
His work has been awarded with the ACM SIGSOFT Distinguished Paper Award and Best Presentation Award in 2022, the Journal of Systems and Software Best Paper award in 2019, the Jean-Claude Guédon Prize in 2018, the European Design Award (bronze) in 2016, and the Data Journalism Award in 2015. He has been the recipient of a two-year Alexander von Humboldt (AvH) Fellowship for Postdoctoral Researchers in 2017.
Fabien Campagne
Assistant Professor at the Weill Cornell Medical College (WCMC). Associate Director, Biomedical Informatics Core, Clinical and Translational Science Center, WCMC. My laboratory specializes on the development of approaches and software tools to enable new discoveries in biology and translational research (e.g., RbDe, GPCR-OKB, Goby, GobyWeb, a few others that did not stick). See http://campagnelab.org for recent projects and biomedical focus.
Daniele D'Agostino
Daniele D'Agostino, Ph.D., is associate professor at the University of Genoa (DIBRIS), Italy. His research interests are in the field of high performance computing and e-Science. In particular he cooperates with scientists of the astrophisics, physics, bioinformatics and earth science domains. In 2014 he was a co-chair of the 22nd Euromicro International Conference on Parallel, Distributed and network based Processing. He co-authored more than 100 papers on international journals, books and conference proceedings. He acted also as co-guest editor of several special issues.
Xianye Ben
Xianye Ben received a Ph.D. degree in pattern recognition and intelligent system from the College of Automation, Harbin Engineering University, Harbin, in 2010. She is currently working as a full Professor in the School of Information Science and Engineering, Shandong University, Qingdao, China. She has published more than 100 papers in major journals and conferences, such as IEEE T-PAMI, IEEE T-IP, IEEE T-CSVT, IEEE T-MM, PR, CVPR, etc. Her current research interests include pattern recognition and image processing. She received the Excellent Doctoral Dissertation award from Harbin Engineering University. She was also enrolled by the Young Scholars Program of Shandong University.