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.
Zhiwei Gao
Dr. Gao joined Northumbria University in 2011. His research interests include machine learning, data-driven approaches, intelligent optimisation and their applications in complex systems, wind energy systems and healthcare systems.
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.
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.
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.
Philipp Leitner
Dr. Philipp Leitner is an Associate Professor at Chalmers University of Technology and the University of Gothenburg. Previously, he was a senior research associate at University of Zurich. Philipp holds a PhD in Business Informatics from Vienna University of Technology. During his studies, Philipp was with Siemens PSE in Vienna and worked as independent software engineer. Philipp is interested in software engineering for the Web, and studies techniques that allow developers to build resilient, large-scale Internet applications.
Feng Xia
I work in artificial intelligence (AI), digital health, and systems engineering, with particular interest in graph learning, brain science, and robotics.
Chakchai So-In
Chakchai So-In is a Professor of Computer Science in the Department of Computer Science, Khon Kaen University, KK, TH. He received B.Eng./M.Eng. degrees from Kasetsart University, BKK, TH in 1999/2001 and M.S./Ph.D. degrees from Washington University in St. Louis, MO, USA in 2006/2010, all in Computer Engineering. He has interned with Cisco Networking Academy (CNAP-NTU, SG), Cisco Systems (Silicon Valley, USA), WiMAX Forums (USA), and Bell Labs (Alcatel-Lucent, USA). His research interests include computer networking and the internet, wireless and mobile networking, the Internet of Things, wireless sensor networks, signal processing, cybersecurity, cyber-physical systems, and applied intelligent systems. He has served as an associate editor for IEEE Access, PLOS ONE, Wireless Networks, PeerJ (CS), and ECTI-CIT and as a committee member/reviewer for many journals/publishers such as IEEE, ACM, Elsevier, Springer, Wiley, IET, IEICE, and ETRI; and conferences such as GLOBECOM, ICC, VTC, WCNC, ICNP, ICNC, and PIMRC. He has authored/coauthored over 140 international (technical) publications, including some in IEEE JSAC, IEEE TCCN, IEEE/CAA, IEEE Commun./Wireless Commun. Mags, IEEE IoT J., IEEE System J., JNCA, COMNET, MONET, FGCS, WN, and ESWA; and 10 books, including Mobile & Wireless Nets with IoT, Computer Network Lab., and Network Security Lab. He is also a senior member of IEEE and ACM.
Massimiliano Zanin
Principal Researcher at Instituto de Física Interdisciplinar y Sistemas Complejos (IFISC), Palma de Mallorca, Spain.
My interest is mainly focus on the application of modelling tools (and especially complex networks theory and data mining) to a wide range of problems, from the air transport to the interactions within cells.
José Manuel Galán
José M. Galán is a Professor at the Department of Management Engineering. He received a M.Sc. in Industrial Engineering from the Universidad de Valladolid and a Ph.D. degree in Industrial and Civil Engineering from the Universidad de Burgos. His research has focused on computational modelling and simulation, especially on agent-based modelling. He initially combined analytical approaches together with simulation and, more recently, with network theory and statistical and machine learning. Former president of the Complex Sociotechnical Systems Association. Member of the European Social Simulation Association and the INSISOC research group.
M Emilia Cambronero
María Emilia Cambronero received a Ph.D. degree from the University of Castilla-La Mancha, in 2007, where she was an Assistant Professor for several years. She is currently an Associate Professor of computer science with Castilla-La Mancha University, Spain, obtaining the Tenure Distinction, in 2012. Her research goals are aimed to make the software more reliable, more secure, and easier to design. Her research interests include software engineering and related areas, including contract specification, program monitoring, testing, and verification. Her research combines strong theoretical foundations with realistic experimentation in the areas of web services and cloud computing.
Daniel de Oliveira
Daniel de Oliveira is a professor of computer science at Universidade Federal Fluminense in Brazil. His current research interests include scientific workflows, provenance, cloud computing, data scalable and intensive computing, high-performance computing, and distributed and parallel databases. He serves or served on the program committee of major international and national conferences (VLDB, IPAW, IEEE eScience, SBBD, etc.) and is a member of IEEE, ACM, and the Brazilian Computer Society. He has published many technical papers and is a co-author of the book “Data-Intensive Workflow Management For Clouds and Data-Intensive and Scalable Computing Environments” published by Morgan & Claypool in 2019.
Anwitaman Datta
Anwitaman did his Phd from EPFL Switzerland. Currently, he works in the School of Computer Science and Engineering at NTU Singapore.