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.
Marta Cimitile
Marta Cimitile received her degree with full marks and honors in Ingegneria Gestionale in 11/12/2003 from the Facoltà degli Studi di Napoli “Federico II”, presenting a thesis in “Enterprise management: organizational and technical problems related to implementation of a CRM”.
She has also received her PhD in software engineering at the Department of Informatics in the University of Bari, presenting a thesis in: “Knowledge Economy in Software Engineering”.
Currently she is an Assistant Professor of Computer Science at the Faculty of Economics of the Unitelma Sapienza in Rome (Italy). Her main research is in the study and evolution of Process Mining, Process and Knowledge Management and Knowledge transfer in Open Innovation.
She was involved in several industrial projects for the realization of an Experience Factory for the knowledge storing and reuse and she made several teaching and training activities in the context of these research projects . She is also partner of the SER&Practices spin off company of the University of Bari.
Marta Lovino
Dr. Marta Lovino is an assistant professor with a time contract at the University of Modena and Reggio Emilia, since 2023. She obtained her Ph.D. in Computer and Control Engineering with honors from Politecnico di Torino in 2021 and joined the AImage lab group as a Postdoctoral Research Fellow.
Dr. Lovino's primary research interests include cancer prognosis prediction, gene expression analysis, miRNA target prediction, gene regulatory networks, gene fusions, and multi-omics data integration. With a particular focus on leveraging artificial intelligence (AI) in the field of genetics to improve the understanding of cancer biology and enhance patient care.
C. Titus Brown
Titus Brown received his BA in Math from Reed College in 1997, and his PhD in Developmental Biology at Caltech in 2006. He has worked in digital evolution, climate measurements, molecular and evolutionary developmental biology, and both regulatory genomics and transcriptomics. His current focus is on using novel computer science data structures and algorithms to explore big sequencing data sets from metagenomics and transcriptomics.
Jun Pang
Research interests: Formal methods, security and privacy, big data analytics, computational systems biology
Rajeev Agrawal
Big data Analytics, Cloud Computing, Topic Modelling, and Geo Spatial information systems. Member of IEEE, ACM, and ASEE. Published more than 100 referred journal and conference papers and 4 book chapters.
Woorham Bae
Woorham Bae received his B.S. and Ph.D. degrees in electrical and computer engineering from Seoul National University, Seoul, Korea, in 2010 and 2016, respectively.
In 2016, he was with the Inter-University Semiconductor Research Center, Seoul National University, Seoul, Korea. From 2017 to 2019, he was with the University of California, Berkeley, CA, as a Postdoctoral Researcher. He is currently a Senior Engineer with Ayar Labs, Santa Clara, CA. He is the author of Analysis and Design of CMOS Clocking Circuits for Low Phase Noise (London, UK: Institution of Engineering and Technology). His current research interests include integrated circuits for silicon photonics, high-speed I/O circuits and architectures, non-volatile memory systems, and agile hardware design methodology.
Dr. Bae serves as an Associate Editor of IEEE Access (2018~) and an Editorial Review Board of IEEE Solid-State Circuits Letters (2017~). He received the IEEE Circuits and Systems Society Outstanding Young Author Award in 2018, the Distinguished Ph.D. Dissertation Award from the Department of Electrical and Computer Engineering, Seoul National University in 2016, the IEEE Circuits and Systems Society Pre-Doctoral Scholarship in 2016, the IEEE Solid-State Circuits Society STG Award in 2015.
Alejandro Moreo
Alejandro Moreo received a PhD in Computer Sciences and Information Technologies from the University of Granada in 2013. He is a tenured researcher at Istituto di Scienza e Tecnologie dell’Informazione "A. Faedo", which is part of the National Research Council (CNR). His research interests include learning to quantify, deep learning, and representation learning.
Wolfgang Banzhaf
Wolfgang Banzhaf is the John R. Koza Chair in Genetic Programming at the Department of Computer Science and Engineering at Michigan State University and an Honorary University Research Professor at Memorial University of Newfoundland. He received a "Diplom in Physik" degree in Physics from the LMU Munich and his Dr.rer.nat (PhD) from the Dept. of Physics of the TH Karlsruhe, now KIT. After a postdoc at the U. of Stuttgart, he was a Visiting and Senior Researcher at the Central Research Lab of Mitsubishi Electric in Japan and at MERL in Cambridge, USA. From 1993 to 2003 he was Associate Professor for Applied Computer Science at TU Dortmund.
Thomas Stützle
Research Director of the Belgian F.R.S.-FNRS (tenured research professor position) working at the Institut de Recherches Interdisciplinaires et de Développements en Intelligence Artificielle (IRIDIA), Université libre de Bruxelles, Brussels, Belgium. His research interests range from stochastic local search (SLS) algorithms, automated design of algorithms, large scale experimental studies, multi-objective optimization to applications of SLS algorithms.
John M. Carroll
John M. Carroll researches methods and theory in HCI, particularly as applied to internet tools for collaborative learning and problem solving, and design of interactive systems. He received the Rigo Award and CHI Lifetime Achievement Award from ACM, and the Goldsmith Award from IEEE. He is a fellow of AAAS, ACM, IEEE, the Human Factors and Ergonomics Society, and the Association for Psychological Science, and received an honorary doctorate in engineering from Universidad Carlos III de Madrid.
Elad Michael Schiller
Elad Michael Schiller received his M.Sc., and B.Sc. in Mathematics and Computer Science from Ben-Gurion University of the Negev, Israel and a Ph.D. in Computer Science from the same university. His research excellence has been acknowledged by several highly competitive research fellowships from the Israeli government and the Swedish government. He is now an associate professor in the Department of Computer Science and Engineering at Chalmers University of Technology. Elad has published in top-tier venues (including PODC, DISC, OPODIS, SPAA, SRDS, ICDCN, IEEE-TMC, IEEE-TPDS and Acta Inf.). He has co-authored more than 50 conference and journal papers. He served on the program committees for several international conferences, including PODC, DISC, SSS, ICDCN and AlgoSensors. His research interests include distributed computing, with special emphasis on self-stabilizing algorithms, wireless communications and the application of game theory to distributed systems.
Stefan Steiniger
Stefan Steiniger is a Professor at the School of Construction and Transport Engineering at Pontificia Universidad Catolica de Valparaiso, Chile, and in charge of the spatial data infrastructure/observatory of the Chilean Centre for Urban Sustainable Development (CEDEUS). With a background in automated geo-visualization, spatial data analysis, geodesy and geo-information technologies in general he has a wide interest in developing free & open source GIS tools and their applications in diverse fields including cartography, wildlife ecology, landscape ecology, urban planning, and transportation. His latest research focuses on (i) developing web platforms for urban accessibility analysis - such as CiudadCaminable.com and Walkability.App, (ii) processes and tools for the calculation (Python and R), visualisation (Dashboards) and management of sustainable city indicators and their data, as well as (iii) the development of scenario modelling tools for urban planning.