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.
Su Yan
Dr. Su Yan received his Ph.D. degree in electrical and computer engineering from the University of Illinois at Urbana–Champaign (UIUC), Urbana, IL, USA, in 2016. Currently, he is an Assistant Professor and Director of Graduate Studies in the Department of Electrical Engineering and Computer Science, at Howard University, Washington, DC. He has authored or coauthored over 100 papers in refereed journals and conferences and one book chapter. His current research interests include nonlinear electromagnetic and multiphysics problems, electromagnetic scattering and radiation, numerical methods in computational electromagnetics, especially continuous and discontinuous Galerkin finite element methods, integral-equation-based methods, domain decomposition methods, fast algorithms, and preconditioning techniques. Dr. Yan is a Senior Member of the Institute of Electrical and Electronics Engineers (IEEE), and a Life Member of the Applied Computational Electromagnetics Society (ACES). He was a recipient of the ACES Early Career Award “for contributions to linear and nonlinear electromagnetic and multiphysics modeling and simulation methods" by ACES in 2020, the P. D. Coleman Outstanding Research Award and the Yuen T. Lo Outstanding Research Award by UIUC, in 2015 and 2014, respectively. He was also a recipient of the Edward E. Altschuler AP-S Magazine Prize Paper Award by IEEE Antennas and Propagation Society in 2020.
Vincent A Cicirello
Dr. Vincent A. Cicirello is a Professor and Chair of Computer Science at Stockton University. He is also among the founding faculty of Stockton University's interdisciplinary Behavioral Neuroscience program. Dr. Cicirello earned his Ph.D. in Robotics from Carnegie Mellon University in 2003, and his M.S./B.S. in Computer Science and B.S. in Mathematics from Drexel University in 1999. His research interests include artificial intelligence, evolutionary computation, algorithms, machine learning, and computational intelligence. Dr. Cicirello is an ACM Senior Member, IEEE Senior Member, AAAI Life Member, and a member of SIAM.
Mary-Anne Williams
Mary-Anne is a data scientist and roboticist with transdiscipinary expertise in computer science, artificial intelligence, business, and law. She works in disruptive innovation and bio-inspired technologies that make smart real-time decisions using backgroung knowledge and insights from data analytics.
Una May OReilly
Principal Research Scientist, Computer Science and Artificial Intelligence Lab, MIT. Leader, AnyScale Learning for All (ALFA) group. Vice-Chair ACM SigEvo, Fellow of ISGEC, 2013 EvoStar Award for Outstanding Achievements in Evolutionary Computation in Europe
Suresh Venkatasubramanian
Associate Professor at the University of Utah. Formerly the John and Marva Warnock Assistant Professor at the University of Utah.
Routing: IIT Kanpur -> Stanford -> AT&T Labs -> U. Utah
Gabriela E Nicolescu
Gabriela Nicolescu obtained her PhD Degree in 2002 from INPG (Institut National Polytechnique de Grenoble) France, with the award for the Best Microelectronic Thesis of the year.
Her research interests are related to the design methodologies, programming models and security for advanced heterogeneous systems on chip integrating advanced technologies such as optical networks on chip or liquid cooling systems.
Enrique Herrera-Viedma
Member of the BoG in IEEE SMC. Associate Editor of several ISI journals: IEEE TSMC, Systems; Knosys; Soft Comp.; Applied Soft Comp., J. of Intillegent Fuzzy Syst.; Fuzzy Opt. and Dec. Making, and Inf. Science. h-index is 45 and over 7500 citations (WoS). Highly Cited Researcher(Thom. Reu) and Top Author in Computer Science according to the Microsoft Acad. Interest: computing with words, fuzzy decision making, consensus, aggregation, social media, recommender systems, libraries, bibliometrics.
Gail E Kaiser
Prof. Kaiser's research interests lie at the boundary of software engineering and software systems, focusing on software reliability, privacy and security, and social software engineering. She served on the editorial board of IEEE Internet Computing for many years, was a founding associate editor of ACM TOSEM, and chaired an ACM FSE Symposium. She has directed her department's doctoral program since 1997. Prof. Kaiser received her PhD from CMU and her ScB from MIT.
Dirk Beyer
Dirk Beyer is Professor of Computer Science and has a Research Chair for Software Systems at the University of Passau, Germany. Before, he worked at Simon Fraser University, B.C., Canada, at EPFL in Lausanne, Switzerland, and at UC Berkeley, CA, USA. His research focuses on models, algorithms, and tools for the construction and analysis of reliable software systems. He is the principal designer and implementor of several successful tools, for example, CCVisu, CPAchecker, CrocoPat, and BLAST.
Hamed Taherdoost
Dr. Hamed Taherdoost is a Full Professor and Chair of the RSAC at University Canada West, Canada. He also holds adjunct appointments as Adjunct Professor at Westcliff University, USA; Adjunct Professor and Thesis Supervisor at Gisma University of Applied Sciences, Germany; and Adjunct Professor at the Victorian Institute of Technology, Australia. In addition, he is a GUS Fellow with Global University Systems in the UK.
With over 20 years of combined experience in academia and industry, Dr. Taherdoost has worked and taught extensively across Southeast Asia, the Middle East, Australia, Europe, and North America, bringing a truly global perspective to his teaching, research, and editorial leadership.
He is a prolific scholar with more than 400 publications, including books, book chapters, and journal articles, in areas such as digital innovation, cybersecurity, blockchain, and technology adoption. His research impact is reflected in an h-index exceeding 55, and his textbooks on E-Business and Digital Transformation are adopted at universities worldwide.
Dr. Taherdoost is Series Editor of Mastering Academic Excellence (Routledge, Taylor & Francis) and the Quantum Computing series (Jenny Stanford Publishing). He serves on the editorial boards of several leading journals, including Frontiers in Research Metrics and Analytics, PLOS ONE, PeerJ Computer Science, and Discover Computing, and is Area Editor of the IEEE Canadian Journal of Electrical and Computer Engineering.
In addition, he has acted as guest editor, and advisory board member for journals published by Taylor & Francis, Springer, Elsevier, Emerald, IEEE, MDPI, IGI Global, and Inderscience. His global experience and editorial expertise reflect his commitment to advancing impactful scholarship across disciplines.
Giorgio Delzanno
Prof. Giorgio Delzanno graduated in Computer Science in 1992. He defended his PhD thesis in Computer Science in 1998 (Doctorate program in the Genoa, Udine and Pisa consortium) and was Post-Doc at the Max Planck Institut in Saarbruecken until the end of 1999. He got a position In 2005 Associate Professor at the University of Genoa. He is Full Professor at the University of Genoa since 2018.
Prof. Delzanno is currently the Coordinator of the PhD in Computer and Systems Engineering at the University of Genoa. Since 2012 he has been a member of the Orientation Commission of the Computer Science Degree Program and deputy coordinator of the Master's Degree in Computer Science.
The research activity was mainly carried out in the following areas: AI and Computational Logic: Logic Programming, Constraints, Multiagent Systems; Formal Methods: Model Checking, Abstract Interpretation, Parameterized Verification; Concurrent and Distributed Systems, Ubiquitous and Pervasive Computing, Internet of Things; Computer Science Education: Computational Thinking and Coding.
He has participated in numerous program and organized committees
conferences, workshops and doctoral schools. Recently he was co-chair of the APCSE 2020 workshops of UMAP 2020 and HCVS of ETAPS 2020.
He is co-founder of Druidlab, a joint laboratory with the FOS Group of Genoa, and a member of GRIN, of the INSTM, of the CINI laboratory on Smart Cities and of the Indam GNCS group.
Lora Aroyo
Lora Aroyo is a Full Professor at the Web & Media group, Department of Computer Science, Department of Computer Science, VU University Amsterdam, The Netherlands. Within the framework of the Network Institute, she is involved in several research projects focussed on crowdsourcing and human computation, collecting data, data quality, and especially hybrid human-AI systems for video understanding. She has led major research projects in semantic search, recommendation systems, event-driven access to online multimedia collections, and through these has become a recognized leader in digital humanities, cultural heritage, and interactive TV.