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.
Anne Bergeron
Member of the "Laboratoire de combinatoire et d'informatique mathématique" (LaCIM) of Université du Québec à Montréal, that initially explored the interplay between combinatorics and computer science. In the mid 90s, it began to include computational biology in the mix.
Amir A. Zadpoor
Amir Zadpoor studied Biomed Eng for his MSc and obtained his PhD (cum laude) from Delft Univ. Tech. He joined the Dept. Biomech. Eng. to work in the area of tissue biomechanics and implants in 2010 and started a research lab focusing on biomaterials, orthopedics, and biomechanics of tissues and implants. Amir is on the review and editorial board of several journals and has published many peer-reviewed article. He recently received the prestigious ERC and Veni personal grants.
Barbara Pes
Barbara Pes obtained her laurea degree in Physics from the University of Cagliari (Italy) in 2001. From 2002 to 2005 she collaborated with the Database and Data Mining Group at the Department of Mathematics and Computer Science, University of Cagliari. Since 2006 she has been working at the same department as a University Researcher (permanent position). Here she teaches/taught Foundations of Computer Science, Database and Data Mining courses.
Barbara Pes has participated in several research projects on Web-based Information Systems, Service-Oriented Architectures, Data Integration, High-dimensional Data Analysis, and Bioinformatics. Currently, her main research interests are in the field of Data Mining and Machine Learning, Classification of High-dimensional Data, Feature Selection. She is author of more than 60 papers published in international conferences, books and journals.
Louise A Dennis
Louise Dennis is a Reader at the University of Manchester.
Her background is in artificial intelligence and more specifically in agent and autonomous systems and automated reasoning. She has worked on the development of several automated reasoning and theorem proving tools, most notably the Agent JPF model checker for BDI agent languages; the lambda-clam proof planning system (also archived at the Theorem Prover Museum); and the PROSPER Toolkit for integrating an interactive theorem prover (HOL) with automated reasoning tools (such as SAT solvers) and Case/CAD tools. More recently she has investigated rational agent programming languages and architectures for autonomous systems, with a particular emphasis on verifiable systems and ethical reasoning.
Lo'ai Tawalbeh
Dr Lo’ai Tawalbeh (IEEE SM) completed his PhD degree in Electrical & Computer Engineering from Oregon State University in 2004, and MSc in 2002 from the same university with GPA 4/4. Dr. Tawalbeh is currently an Associate professor at the department of Computing and Cyber Security at Texas A&M University-San Antonio. Before that he was a visiting researcher at University of California-Santa Barbra. Since 2005 he taught/developed more than 25 courses in different disciplines of computer engineering and science with focus on cyber security for the undergraduate/graduate programs at: NewYork Institute of Technology (NYIT), DePaul’s University, and Jordan University of Science and Technology. Dr. Tawalbeh won many research grants and awards with over than 2 Million USD. He has over 80 research publications in refereed international Journals and conferences.
Easter S Suviseshamuthu
Dr. Suviseshamuthu is an Associate Research Scientist at the Human Performance and Engineering Research Lab, Kessler Foundation, West Orange, NJ, U.S.A., since Dec. 2015.
He received the B.E. degree in Electronics and Communication Engineering from the Government College of Engineering, Tirunelveli, India (1988), the M.E. degree in Applied Electronics from Bharathiar University, Coimbatore, India (2001), and the Ph.D. in Multispectral Satellite Image Analysis from the Laboratoire des Sciences de l’Information et des Systèmes, Université de la Méditerranée, Marseille, France (2007). He was Post-Doctoral Fellow at the Bioimaging and Biostructure Institute, Italian National Research Council, Naples, Italy, (2008 to 2010), the Department of Mathematical Engineering, Université catholique de Louvain, Louvain-la-Neuve, Belgium, (2010 to 2014), and the GIPSA-Lab, Université Joseph Fourier, Grenoble, France (2014 to 2015).
His research focus encompasses statistical signal processing, blind source separation, medical imaging, optimization on matrix manifolds, machine learning, biomedical signal analysis, and bio-inspired computing. He serves as Associate Editor of IEEE Access.
Yaochu Jin
Professor of Computational Intelligence, University of Surrey, UK, Finland Distinguished Professor, Jyvaskyla, Finland, Changjiang Distinguished Professor, Northeastern University, China. Vice President for Technical Activities, IEEE Computational Intelligence Magazine, IEEE Distinguished Lecturer.
Elisabetta Di Nitto
Elisabetta Di Nitto is full professor at Politecnico di Milano. Her research interests are mainly on software engineering, cloud computing, process support systems, service-centric applications, dynamic software architectures, and autonomic systems. She has served in the Editorial Board of ACM Transactions on Software Engineering and Methodology, IEEE Transactions on Software Engineering, SOCA Journal, Journal of Software: Evolution and Process. She has been program co-chair of SEAMS 2020, ASE 2010 and ServiceWave 2010 and general chair of ESEC/FSE 2015.
Noura Al Moubayed
Dr Al Moubayed is an Associate Professor at the department of computer science at Durham University.
Her main research interest is in Explainable Machine Learning, Natural Language Processing, and Optimisation.
Dr Al Moubayed received her PhD from Robert Gordon University, followed by post-doctoral positions at the University of Glasgow and Durham University.
Her research projects focus on applying machine learning and deep learning solutions in the areas of healthcare, social signal processing, cyber-security, and Brain-Computer Interfaces. All of which involve high dimensional, noisy and imbalance data challenges.
Juan Pedro Dominguez-Morales
Prof. Juan Pedro Dominguez-Morales was born in Sevilla (Sevilla, Spain) in 1992. He received the B.S. degree in computer engineering, the M.S. degree in computer engineering and networks, and the Ph.D. degree in computer engineering (specializing in neuromorphic audio processing and spiking neural networks) from the University of Seville, in 2014, 2015 and 2018, respectively. His Ph.D. was granted with a research grant from the Spanish Ministry of Education and Science. Since January 2019, he has been working as Assistant Professor in the same university. He is member of the Robotics and Technology of Computers Lab since 2015. His research interests include neuromorphic engineering, spiking neural networks, audio processing and deep learning. He has been an IEEE member for four years.
Krishna Dev Oruganty
I can best describe myself as a simulation biologist. I am interested in simulating life processes at multiple scales. From the atomic scale to understand protein function to cellular or systems scale to understand physiological processes. My main tool is the computer which I use to analyze, understand and predict biology. Secondary tools are in vitro biochemistry and biophysics experiments that I use to validate my predictions.
Adriana Iamnitchi
Adriana Iamnitchi is Professor, Chair of Computational Social Sciences at Maastricht University. Her research spans different aspects of data and computer science, with a particular focus on social media forensics, network science, and distributed systems. Until 2021 she has been a professor of computer science in the United States, where her work was funded by the National Science Foundation, Office for Naval Research, and DARPA. She holds a PhD in Computer Science from The University of Chicago and is an ACM Distinguished Member, IEEE Senior Member, and recipient of the National Science Foundation CAREER award.