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.
Hao (Richard) Zhang
Professor of Computer Science at Simon Fraser University (SFU), Canada. Editor-in-chief of Computer Graphics Forum. Directs the graphics (GrUVi) lab. Obtained his Ph.D. from Dept. of Computer Science, University of Toronto, and his M.Math. and B.Math degrees from the University of Waterloo. Richard's research area is computer graphics with a focus on geometry modeling and processing, shape analysis, 3D content creation, and 3D printing.
Fusheng Wang
I am a Professor at Department of Biomedical Informatics and Department of Computer Science at Stony Brook University. I received my Ph.D. in Computer Science from University of California, Los Angeles, and M.S. and B.S. in Engineering Physics from Tsinghua University, China. Prior to joining Stony Brook University, I was an assistant professor at Emory University. I was a research scientist at Siemens Corporate Research (Princeton, NJ) before joining Emory University.
My research goal on big data management and analytics is to address the research challenges for delivering effective, scalable and high performance software systems for managing, querying and mining complex big data at multiple dimensions, including 2D and 3D spatial and imaging data, temporal data, spatial-temporal data, and sequencing data. My research goal on biomedical informatics is to develop novel methods and software systems to optimize the acquisition, extraction, management, and mining of biomedical data with much improved efficiency, interoperability, accuracy, and usability to support biomedical research and the healthcare enterprise.
Stefano Paraboschi
Born in Milan, Italy, Laurea degree in Ingegneria Elettronica in 1990, PhD in Ingegneria Informatica e Automatica in 1994, both at Politecnico di Milano. Assistant professor (March-1996-October 1998) and then associate professor (November 1998-October 2002) at Politecnico di Milano. Since November 2002, professor at the School of Engineering of Università di Bergamo, where he chairs the program in Ingegneria Informatica.
Joemon Jose
Joemon Jose is a professor at the School of Computing Science, University of Glasgow. His research interests are in information retrieval, multimedia retrieval, and affective search systems.
Ismaila Temitayo Sanusi
Ismaila Temitayo Sanusi earned his doctorate from the University of Eastern Finland. He specializes in computer science education, with a focus on democratizing Artificial Intelligence (AI) and Machine Learning (ML) for young learners and beginners. His research spans international contexts and involves co-designing innovative, constructionist technologies and learning materials for K–12 students. He develops AI tools and competency models to support curriculum integration, along with educator training resources that introduce students to AI early; helping build an AI-ready workforce and future technology creators. He also serves on editorial boards and as a special issue editor for journals in computing, technology, and education.
Shaoxiong Ji
Dr. Ji completed his Ph.D. at Aalto University. During his doctoral studies, he was a visiting researcher at the University of Munich (LMU Munich, Germany) and at the Finnish Institute for Health and Welfare (THL, Finland). Following his doctoral studies, he served as a postdoctoral researcher at the University of Helsinki, working on advanced language technology, and led his own research group at the Technical University of Darmstadt as an independent research group leader.
Bálint Molnár
Dr. Bálint Molnár is an Associate Professor and Lecturer within the Department of Information Systems at Eötvös Loránd University, Budapest, Hungary.
His research interests include, but are not limited to, Formal, mathematical-based models for designing, modeling, and validating information systems; Application of data science methods to solve data, function, and process integration issues of enterprise management and health information systems. Enterprise, organizational, business, information systems architecture, and application of formal models.
Stefano Nolfi
Stefano Nolfi is one of the founders of Evolutionary Robotics and the director of one of the most active research lab in this area. His research activities focus on the evolution and development of behavioural and cognitive skills in natural and artificial embodied agents (robots). He authored/co-authored more than 150 peer-reviewed scientific publications including a monograph book on Evolutionary Robotics published by MIT Press in 2000 (more than 1400 citations).
Bart Selman
Bart Selman is a Professor of Computer Science at Cornell University. His research interests include computational sustainability, efficient inference, planning, KR&R, and connections between CS and statistical physics. He has (co-)authored over 150 publications, including six best paper awards. He has received the Cornell Miles Excellence in Teaching Award, the Cornell Outstanding Educator Award, an NSF Career, and an Alfred P. Sloan Fellowship. He is a Fellow of AAAI, AAAS, and ACM.
Hamid Mcheick
Dr. Hamid Mcheick is a full professor in Computer Science department at the University of Québec at Chicoutimi, Canada. He has more than 25 years of experience in both academic and industrial areas. He has done his Ph.D. in Software Engineering and Distributed System in the University of Montreal, Canada. He is working on designing of adaption distributed, smart and connected software applications; designing healthcare frameworks; and designing smart Internet of Things architecture. He has supervised many post-doctorate, PhD, master, and bachelor students. He has nine book chapters, more than 60 research papers in international journals, and more than 150 research papers in international/national conferences and workshop proceedings to his credit. Dr. Mcheick has given many keynote speeches and tutorials in his research area, particularly in Healthcare systems, Architecture Pervasive and Ubiquitous Computing, Distributed Middleware Architectures, Software Connectors, Service-Oriented Computing, Internet of Things (IoT), Smart Architectural Frameworks, Mobile Edge Computing, Fog Computing, and Cloud Computing. Dr. Mcheick has gotten many grants from governments, industrials and academics. He is a chief in editor, chair, co-chair, reviewer, member in many organizations (such as IEEE, ACM, Springer, MDPI, Elsevier, Inderscience) around the world.
Syed Anas Imtiaz
I am a researcher in wearable medical devices working on creating new technologies for the monitoring and diagnosis if neurological, neurodevelopmental and sleep disorders. My research focuses on developing new biomedical signal processing methods, algorithms and mixed-signal circuit design for wearable systems, low power digital circuits for medical applications and embedded systems design. I am a Research Fellow at Imperial College London where I am developing new technologies for long-term monitoring, management and diagnosis of COPD, sleep disorders, epilepsy, and autism. I am also the Head of Engineering at Acurable leading development and at-scale manufacturing of a wearable medical device and its accompanying smartphone applications for the diagnosis of respiratory disorders.
Jens Lehmann
Dr. Jens Lehmann is a researcher at the University of Leipzig. He is co-leading the AKSW („Agile Knowledge Engineering and Semantic Web“) Group and is interested in semantic technologies, machine learning and the data web. He is working on several community research projects, including DL-Learner, DBpedia and LinkedGeoData as well as funded EU projects such as GeoKnow and Big Data Europe. He studied and worked in Leipzig, Oxford, Bristol and Dresden.