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.
Gabriella Pasi
Gabriella Pasi is Full Professor at the University of Milano Bicocca, Italy, where she leads the Information Retrieval research Lab within the Department of Informatics, Systems and Communication. Her research activity mainly addresses the definition of models and techniques for a personalized access to information (in particular related to the tasks of information Retrieval and Filtering). She is also working on the analysis of user generated content in social media.
Gui-Bin Bian
Gui-Bin Bian is a Professor of Robotics, Institute of Automation, Chinese Academy of Sciences, Beijing, China.
Wasif Afzal
Professor in Computer Science at Mälardalen University, Sweden, specialising in research areas such as software testing, software quality, software metrics and empirical software engineering in general.
Ahmed E Hassan
Ahmed E. Hassan is the Canada Research Chair (CRC) in Software Analytics, and the NSERC/BlackBerry Industrial Research Chair in Software Engineering for Ultra Large Scale systems at the School of Computing in Queen's University.
He spearheaded the organization and creation of the Mining Software Repositories (MSR) conference and its research community. He is the named inventor of patents at several jurisdictions around the world including the United States, Europe, India, Canada, and Japan.
Marcin Maciej Grynberg
Assistant Professor in The Institute of Biochemistry and Biophysics Polish Academy of Sciences, Warsaw, Poland. Graduate from The University of Warsaw. Former post-doc at The Burnham Institute, La Jolla, CA. Co-founder of the social scientist movement Citizens of Academia.
Jiayan Zhou
Jiayan Zhou is a Senior Computational Bioinformatician at Palo Alto Veterans Institute for Research (PAVIR). He was a postdoctoral scholar at Stanford University School of Medicine, specializing in Cardiovascular Medicine, Population Genetics, and Molecular Biology. He is a computational geneticist with a special interest in advancing statistical methodologies and software frameworks tailored for integrating multi-omics data, aimed at elucidating novel therapeutic avenues for various human diseases. He also actively explores the intersection of AI and healthcare, leveraging AI models to address intricate challenges in healthcare delivery and patient outcomes.
Armin R Mikler
Armin R. Mikler is a Professor and Chair of the Department of Computer Science at Georgia State University. He received his PhD in Computer Science from Iowa State University in 1995. As a professor of Computer Science and Engineering at the University of North Texas from 1997 -2020, Dr. Mikler directed the Center for Computational Epidemiology and Response Analysis (CeCERA).
His research interests include Computational Epidemiology and Disaster Informatics with focus on data-driven response plan design and plan optimization. Dr. Mikler’s research on response plan design and analysis is supported by the Texas Department of State Health Services (DSHS), the National Science Foundation (NSF), and the National Institutes of Health (NIH). He has supervised over 40 PhD and MS theses and has published over 100 research articles related to a range of topics, including distributed systems, networking, computational epidemiology, and response plan design and analysis.
Marisa Fabiana Nicolás
Dr. Marisa Fabiana Nicolás is a biologist with a Ph.D. in Genetics. She worked as a protein annotator in the UniProt/Swiss-Prot database from 2005 to 2007. Since May 2009 she is an Associate Researcher at the Bioinformatics Laboratory (Labinfo) at LNCC/MCTI Brazil. Dr. Nicolas has experience in Genetics, Molecular Biology, Genomics, and Bioinformatics. She works mainly in Bioinformatics applied to the analysis of genomes and transcriptomes (RNAseq and scRNAseq) and metabolic and regulatory networks in clinically relevant pathogens.
Ana Reyes-Menendez
PhD Cum-Laude and Extraordinary Award in Business Economics from Rey Juan Carlos University specialized in Neuromarketing and Digital Marketing. Post-doctoral Research stays in Universidade Portucalense, Universidade do Algarve and RCC at Harvard University.
Assistant Professor of the Department of Business at Rey Juan Carlos University. Research focused on Online Consumer Behavior, Information Science, Data Science for Business and Biometrics.
Nicolas P Rougier
I’m a full-time research scientist at Inria. This is a public scientific and technological establishment (EPST) under the double supervision of the Research & Education Ministry, and the Ministry of Economy Finance and Industry. I’m working at the frontier between integrative and computational neuroscience in association with the Institute of Neurodegenerative Diseases, the Laboratoire Bordelais de Recherche en Informatique, the University of Bordeaux and the CNRS. My research deals with decision-making, self-organization, spatial computing, artificial neural networks & open science.
Filippo Menczer
Filippo Menczer is a distinguished professor of informatics and computer science and director of the Observatory on Social Media at Indiana University. He holds a Laurea in Physics from the Sapienza University of Rome and a Ph.D. in Computer Science and Cognitive Science from the University of California, San Diego. Dr. Menczer is an ACM Fellow and a board member of the IU Network Science Institute. His research interests span Web and data science, computational social science, science of science, and modeling of complex information networks. In the last ten years, his lab has led efforts to study online misinformation spread and to develop tools to detect and counter social media manipulation.
Alexander C Nwala
Dr. Alexander C. Nwala is an assistant professor of Data Science at William and Mary (W&M). Before joining W&M, he was a postdoc at the Observatory on Social Media, Indiana University, Bloomington, with a research focus on dis/misinformation diffusion, detection, and countering of online manipulation. He received his PhD in Computer Science at Old Dominion University and has contributed multiple important tools and datasets to the data/web science, social media, (local) news, and web archiving communities.
Dr. Nwala has taught Computer Science courses to High School, Undergraduate, and Graduate students and has collaborated across disciplines and institutions, including with computer scientists/journalists at IU, archivists at the National Library of Medicine, and lawyers at Harvard. And his research has been published in multiple peer-reviewed Journals and Conferences.