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.
Giancarlo Sperlì
Giancarlo Sperlì is an assistant professor at the Department of Electrical Engineering and Information Technology of the University of Naples Federico II.
He obtained his PhD in Information Technology and Electrical Engineering at the same University defending his thesis: "Multimedia Social Networks".
He is a member of the Pattern Analysis and Intelligent Computation for Multimedia Systems (PICUS) departmental research groups. His main research interests are in the area of Cybersecurity, Semantic Analysis of Multimedia Data and Social Networks Analysis.
He has served as guest editor of different special issues on International Journals. Finally, he has authored about 118 publications in international journals, conference proceedings and book chapters.
Sankar Subramanian
Senior Lecturer at the University of the Sunshine Coast, Moreton Bay, Brisbane, Australia; USC Senior Research Fellow; Smithsonian Fellow; Adjunct Research Fellow (Griffith University)
Dr Sankar Subramanian is a Senior Lecturer in Genetics. Sankar joined USC as a Senior Research Fellow in March 2017. Prior to this he worked at the Australian Research Centre for Human Evolution, Griffith University. His research primarily centers around the question of, how does genetic drift influence mutations. Sankar worked on a number of research projects to investigate the interaction between drift and mutations, which include the evolution of codon usage bias in animal genomes, temporal patterns of deleterious mutations in humans and penguins, difference in the allele frequencies of polymorphisms in global human populations. Sankar has developed methods to identify and quantify deleterious mutations in human populations. Dr Subramanian is also interested in estimating rates of mutations and divergence times between species and populations. His research also focuses on studying ancient genomes to understand the past demographic history of vertebrates including ancient penguins, tuatara (a New Zealand reptile), moa (an extinct bird) and ancient humans. Furthermore, he is investigating the population history, mutational load and admixture patterns of modern and ancient Aboriginal Australians. At USC, he has started working on the conservation genomics of Australian Dingoes.
Kaize Shi
Kaize Shi is with the Data Science and Machine Intelligence Lab, University of Technology Sydney. He has PhD degrees in computer science and computer systems, which are from the Beijing Institute of Technology, China, and the University of Technology Sydney, Australia. His research interests include natural language generation, social computing, cyber-physical-social systems, meteorological knowledge services, intelligent transportation, and artificial intelligence technology. He is the associate editor of IEEE Transactions on Computational Social Systems and academic editor of PeerJ Computer Science and Wireless Communications and Mobile Computing. He also served as a guest editor for the Information Fusion, International Journal of Distributed Sensor Networks, etc. He served as a program committee member for conferences of ACL, EMNLP, NeurIPS, SIGKDD, ICDM, etc. He is a member of the Artificial Intelligence Technical Committee of the China Meteorological Service Association.
Michele Pasqua
Michele Pasqua is an Assistant Professor at the Department of Computer Science of the University of Verona, Italy. His main research interests include abstract interpretation, program verification, static analysis, software testing, theoretical foundations of programming languages and software engineering, language-based security, and distributed systems.
He works actively in the software engineering and programming languages communities, being (co)author of more than 30 publications in international scientific journals and conference proceedings with peer review and regularly serving on international conferences and workshops program committees.
Kübra Seyhan
Kübra Seyhan received the B.Sc. degree in Computer Engineering from Karadeniz Technical University, in 2016, Trabzon, Turkey, M.Sc. degree in Computer Engineering from Ondokuz Mayıs University in 2020, and Ph.D. degree in Computational Sciences from Ondokuz Mayıs University in 2024, in Samsun, Turkey.
She is currently employed as a research assistant at the Department of Computer Engineering, Ondokuz Mayis University, Samsun, Turkey since 2018. She worked as a short-term research assistant at the Chair of Security and Theoretical Computer Science, University of Tartu between March, 1, 2023 and August 31, 2023, in Tartu, Estonia.
Her research interests are in the areas of cryptography, post-quantum cryptography, algorithms, IoT security, and cyber security.
Aurora Saibene
Aurora Saibene is a Post Doctoral Research Fellow in Computer Science at the University of Milano-Bicocca, whose research activities are mainly focused on brain-computer interfacing, human-machine interaction, multimedia signal processing, and neuroinformatics.
She took her Bachelor's, Master's Degree, and PhD in Computer Science at the University of Milano-Bicocca in 2015, 2018, and 2022, respectively.
Her PhD thesis in Computer Science focused on the design of a Flexible Pipeline for Electroencephalographic Signal Processing and Management, wanting to provide a set of suggestions and technical procedures to pre-process, normalize, manage features, and classify a particularly tricky signal like the electroencephalographic one in different contexts. She has especially focused on the field of motor movement and imagery as well as on emotion recognition and she is now facing the challenge of employing wearable technologies with a multimodal approach to provide efficient and reliable brain-computer interfacing and human-centric systems in different fields of application.
Luca Ardito
Luca Ardito is an Assistant Professor at the Department of Control and Computer Engineering at Politecnico di Torino, where he works in the Software Engineering research group. He received BSc, MSc, and Ph.D. in Computer Engineering from Politecnico di Torino. His current research interests are mobile development and testing, green software, new programming language analysis, and empirical software engineering methodologies.
Julita Vassileva
Professor in Computer Science, University of Saskatchewan, Canada. Her research area is human issues in decentralized computing technologies and applications: user modeling, personalization, trust modeling, intelligent educational and persuasive technologies.
Giuseppe Agapito
Giuseppe Agapito is an associate professor and a senior research scientist in the field of Parallel and Distributed Computing, Machine Learning and Graph Theory at the University Magna Græcia, Catanzaro. His research interests focus on the study of machine learning methods that can be used to take advantage of the vast amount of data that are produced nowadays. In particular, the research focuses on the development, implementation, and application of computational intelligence techniques for addressing complex real-world problems in different domains, especially in the field of biology and omics sciences.
Giuseppe Agapito has published his research in various top-quality academic outlets, with more than 100 papers in international journals and conference proceedings. He serves as a reviewer for several scientific journals and a chair and program committee member of several national and international conferences.
Sivaramakrishnan Rajaraman
Dr. Sivarama Krishnan Rajaraman is working as a research scientist at the National Library of Medicine (NLM), National Institutes of Health (NIH). Dr. Rajaraman received his Ph.D. in Information and Communication Engineering from Anna University, India. He is involved in projects that aim to apply computational sciences and engineering techniques toward advancing life science applications. These projects involve the use of medical images for aiding healthcare professionals in low-cost decision-making at the POC screening/diagnostics. He is a versatile researcher with expertise in machine learning, data science, biomedical image analysis, and computer vision. He has more than 15 years of experience in academia where he taught core and allied subjects in biomedical engineering. He has authored several national and international journal and conference publications in his area of expertise. Dr. Rajaraman is an Editorial Board member of the PLOS ONE, PeerJ Computer Science, MDPI Knowledge, and MDPI Electronics journals. He is reviewing manuscripts for more than 75 journals including those published by Nature, LANCET, IEEE, MDPI, Elsevier, and other conferences including CVPR, EMBS, CBMS, and MICCAI. Dr. Rajaraman is a Life Member of the Society of Photo-optical Instrumentation Engineers (SPIE), a regular member of the Institute of Electrical and Electronics Engineers (IEEE), IEEE Engineering in Medicine & Biology Society (EMBS), and the Biomedical Engineering Society (BMES).
Yan Chai Hum
Dr. Hum Yan Chai is a researcher in artificial intelligence and computer vision. He received his B.Eng degree in biomedical engineering from the Universiti Teknologi Malaysia (UTM). He is currently serving as an Assistant Professor in the Department of Mechatronics and Biomedical Engineering, Lee Kong Chian Faculty of Engineering and Science, Universiti Tunku Abdul Rahman.
Steven John Thompson
Former faculty at Johns Hopkins University, Dartmouth College, UC Davis. I have been teaching college students for over 25 years. My research expertise is in Internet phenomena: access, addiction, agency, control, dependency, governance, and policy; and engineering ethics in Science, Technology, and Society (STS) merging the Internet with physical bodies. I am the Editor for Machine Law, Ethics and Morality in the Age of Artificial Intelligence (2021); Androids, Cyborgs, and Robots in Contemporary Culture and Society (2017); and, Global Issues and Ethical Considerations in Human Enhancement Technologies (2014).