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.
Hazrat Ali
Hazrat Ali is a researcher in Artificial Intelligence and Healthcare. He served as an Assistant Professor at Department of Electrical and Computer Engineering, COMSATS University Islamabad, Abbottabad Campus, Abbottabad. His research interests lie in unsupervised learning, generative and discriminative approaches, medical imaging and speech and image processing. He has published more than 50 research articles in peer-reviewed journals and conferences. He is an Associate Editor at IEEE and served as a reviewer at many journals and conferences including IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Medical Imaging, IET Signal Processing, Springer Neural Processing Letters, ACM Transactions on Asian and Low Resource Language Information Processing, Elsevier Computers and Electrical Engineering, ACL 2020, MICCAI 2020. He was selected as young researcher at the 5th Heidelberg Laureate Forum, Heidelberg, Germany. He was selected as a fellow of the DAAD AI-Networking Fellowship Tour 2021.
Daniel S. Katz
Dan's interest is in the development and use of advanced cyberinfrastructure to solve challenging problems at multiple scales. His technical research interests are in applications, algorithms, fault tolerance, and programming in parallel and distributed computing, including HPC, Grid, Cloud, etc. He is also interested in policy issues, including citation and credit mechanisms and practices associated with software and data, organization and community practices for collaboration, and career paths for computing researchers.
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.
Mario Luca Bernardi
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".
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/
Mario Negrello
Mario Negrello obtained a mechanical engineering degree in Brazil (1997), and later after a period in the industry (VW 1999-2004) including RD and Prototypes, obtained his Masters degree (2006) and PhD (summa cum laude) in Cognitive Science at the University of Osnabrück in Germany in 2009. At that time, in the Fraunhofer Institute in Sankt Augustin (Germany) for Intelligent Dynamics and Autonomous Systems, he researched artificial evolution of neural network controllers for autonomous robots (2007/08). This work was awarded a scholarship by the International Society of Neural Networks (INNS) to sponsor an eight-month period (2008/09) as a visiting researcher at the Computational Synthesis Lab at the Aerospace Engineering department of the Cornell University in USA (with Hod Lipson). In his first post doctoral period he acted a group leader at the Computational Neuroscience laboratory at the Okinawa Institute of Science and Technology (with Erik De Schutter). He now heads a neuroscience lab that combines empirical research and computational methods (with Chris De Zeeuw). He has published in the fields of Machine Learning and Cognitive Robotics, Artificial Life, Evolutionary Robotics, Neuroethology and Neuroscience, as well as a monograph published by Springer US in the Series Cognitive and Neural systems entitled Invariants of Behavior (2012).
Claudio A Ardagna
Claudio A. Ardagna is a Full Professor and Vice Director of the Data Science Research Center at Università degli Studi di Milano. He has been visiting scholar at George Mason University, Fairfax, VA, USA and at Khalifa University, Abu Dhabi, UAE. His areas of interest include Big Data Analytics-as-a-Service, Edge/Cloud security and performance, security assurance and certification of distributed and cyber-physical systems, machine learning model verification. In these areas, he published more than 30 journal papers, 100 book chapters and refereed articles in proceedings of international conferences, and 10 books as an author or editor. He is co-author of the book “Open Source Systems Security Certifications” (with E. Damiani, N. El Ioini, Springer, 2008), co-inventor of the European Patent titled “Method, System, Network and Computer Program Product for Positioning in a Mobile Communications Network”, and co-founder of Moon Cloud (www.moon-cloud.eu), a spin-off of the Università degli Studi di Milano. He is an IEEE Senior Member, has been a recipient of International Federation for Information Processing (IFIP) Silver Core Award “in recognition of outstanding services to IFIP” in 2013, and has been recipient of the ERCIM (European Research Consortium for Informatics and Mathematics) WG STM 2009 Award for the Best Ph.D. Thesis on Security and Trust Management.
Ahmed Elazab
Ahmed Elazab received his Ph.D. degree in pattern recognition and intelligent systems from Shenzhen Institutes of Advanced Technology, University of Chinese Academy of Sciences, China, Jan 2017. He was a postdoctoral research fellow from Jan 2018 to April 2020 at the School of Biomedical Engineering, Shenzhen University, Shenzhen, China where he is currently a research associate since Jan 2021. Dr. Elazab has authored and co-authored more than 80 peer-reviewed papers and has been a reviewer in prestigious peer-reviewed international journals. His main research interests include machine and deep learning, medical image analysis, brain anatomy analysis, and computer-aided detection and diagnosis.
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.
Easton R White
I am a quantitative marine ecologist who uses mathematical and statistical tools, coupled with experiments and field observations, to answer questions in ecology, conservation science, sustainability, and ecosystem management. Most of my work is focused on marine systems, especially fisheries and spatial planning. I am a new Assistant Professor in the Department of Biological Sciences at the University of New Hampshire. Prior to joining UNH, I was a research associate at the University of Vermont with the QuEST program, a NSF-funded PhD traineeship focused on quantitative skills, interdisciplinary work, as well as diversity and inclusion.
I currently conduct research on assessing the effectiveness of protected area networks, improving species monitoring programs, and modeling socio-ecological systems in the context of fisheries. My work centers on how environmental variability, in particular rare events (e.g., hurricanes, COVID-19 pandemic), affects ecosystems and those that depend on them. My current work is funded through a NSF grant focused on interdisciplinary approaches to study coupled natural-human systems with Madagascar fisheries as a case study.
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.
Lisu Yu
Lisu Yu received a Ph.D. degree at Key Laboratory of Information Coding and Transmission, Southwest Jiaotong University, Chengdu, China. He was a Visiting Scholar at the University of Arkansas, Fayetteville, AR, USA, and the University of Houston, Houston, TX, USA. He has served as the student activities chair of IEEE Communication Society Chengdu Chapter and several international conferences technical program committee (TPC) members, Section Chair, and Special Track Chair. He is now serving as an Area Editor of the Elsevier Physical Communication, Associate Area Editor of Journal of Electronics & Information Technology, and Editor of the Elsevier Computer Communications, PeerJ Computer Science, PLOS ONE, and Frontiers in Signal Processing for Communications, and a Managing Guest Editor of Elsevier Internet of Things and Cyber-Physical Systems, and IEEE Communications Society Technical Committee on Green Communications and Computing (TCGCC) and Signal Processing and Computing for Communications (SPCC) Members. He is a Senior Member of CIC. He is currently an associate professor in the School of Information Engineering, Nanchang University, China. His main research interests include advanced wireless communications (B5G/6G), machine learning, non-orthogonal multiple access (NOMA), ultra-dense network (UDN), unmanned aerial vehicle (UAV), visible light communication (VLC), and blockchain.