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.
Mario Negrello
Mario Negrello obtained a mechanical engineering degree in Brazil (1997), and later after a period in the industry (VW 1999-2004) including RD and Prototypes, obtained his Masters degree (2006) and PhD (summa cum laude) in Cognitive Science at the University of Osnabrück in Germany in 2009. At that time, in the Fraunhofer Institute in Sankt Augustin (Germany) for Intelligent Dynamics and Autonomous Systems, he researched artificial evolution of neural network controllers for autonomous robots (2007/08). This work was awarded a scholarship by the International Society of Neural Networks (INNS) to sponsor an eight-month period (2008/09) as a visiting researcher at the Computational Synthesis Lab at the Aerospace Engineering department of the Cornell University in USA (with Hod Lipson). In his first post doctoral period he acted a group leader at the Computational Neuroscience laboratory at the Okinawa Institute of Science and Technology (with Erik De Schutter). He now heads a neuroscience lab that combines empirical research and computational methods (with Chris De Zeeuw). He has published in the fields of Machine Learning and Cognitive Robotics, Artificial Life, Evolutionary Robotics, Neuroethology and Neuroscience, as well as a monograph published by Springer US in the Series Cognitive and Neural systems entitled Invariants of Behavior (2012).
Claudio A Ardagna
Claudio A. Ardagna is a Full Professor and Vice Director of the Data Science Research Center at Università degli Studi di Milano. He has been visiting scholar at George Mason University, Fairfax, VA, USA and at Khalifa University, Abu Dhabi, UAE. His areas of interest include Big Data Analytics-as-a-Service, Edge/Cloud security and performance, security assurance and certification of distributed and cyber-physical systems, machine learning model verification. In these areas, he published more than 30 journal papers, 100 book chapters and refereed articles in proceedings of international conferences, and 10 books as an author or editor. He is co-author of the book “Open Source Systems Security Certifications” (with E. Damiani, N. El Ioini, Springer, 2008), co-inventor of the European Patent titled “Method, System, Network and Computer Program Product for Positioning in a Mobile Communications Network”, and co-founder of Moon Cloud (www.moon-cloud.eu), a spin-off of the Università degli Studi di Milano. He is an IEEE Senior Member, has been a recipient of International Federation for Information Processing (IFIP) Silver Core Award “in recognition of outstanding services to IFIP” in 2013, and has been recipient of the ERCIM (European Research Consortium for Informatics and Mathematics) WG STM 2009 Award for the Best Ph.D. Thesis on Security and Trust Management.
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.
Maurice H. ter Beek
Maurice ter Beek coordinates the Formal Methods and Tools group of the Institute of Information Science and Technologies (ISTI) of the Italian National Research Council (CNR) in Pisa, Italy, where he's affiliated since 2003, when he obtained a Ph.D. in Theoretical Computer Science from the University of Leiden in the Netherlands. He has authored over 125 peer-reviewed papers, edited over 25 proceedings and special issues of journals, and next to PeerJ CS he is an editorial board member of the International Journal on Software Tools for Technology Transfer, Journal of Logical and Algebraic Methods in Programming, Science of Computer Programming, and ERCIM News. His research interests concern formal methods and model-checking tools for the specification and verification of safety-critical software systems, recently in particular for applications in service-oriented computing, software product line engineering, and railways. He is or has been PC member or chair of conferences like FM, iFM, FASE, FMICS, FormaliSE, SEFM, SPIN, SPLC, VaMoS, ABZ, AVoCS, COORDINATION, FORTE, RSSRail, and ACSD. He is member of the Steering Committees of the Formal Methods for Industrial Critical Systems (FMICS), Variability Modelling of Software-Intensive Systems (VaMoS) and Systems and Software Product Line Conference (SPLC) series.
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.
Aswani Kumar Cherukuri
Dr. Aswani Kumar Cherukuri is a Professor at Vellore Institute of Technology (VIT), India. His research interests include information security and machine learning. Aswani Kumar earned the Young Scientist Fellowship from Tamilnadu State Council for Science and Technology and was awarded the Inspiring Teacher Award from The Indian Express (India’s leading English daily newspaper). He has worked on various research projects funded by the Government of India’s Department of Science and Technology, the Department of Atomic Energy, and the Ministry of Human Resources Development. Aswani Kumar has published more than 150 refereed research articles in various national/international journals and conferences and is an editorial board member for several international journals. He is a Senior Member and distinguished speaker of the Association for Computing Machinery (ACM), a member of the Institute of Electrical and Electronics Engineers (IEEE), and Vice-Chair of the IEEE Taskforce on Educational Data Mining. Aswani Kumar earned a PhD in informational retrieval, data mining, and soft-computing techniques from VIT.
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.
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.
Lisu Yu
Lisu Yu received a Ph.D. degree at Key Laboratory of Information Coding and Transmission, Southwest Jiaotong University, Chengdu, China. He was a Visiting Scholar at the University of Arkansas, Fayetteville, AR, USA, and the University of Houston, Houston, TX, USA. He has served as the student activities chair of IEEE Communication Society Chengdu Chapter and several international conferences technical program committee (TPC) members, Section Chair, and Special Track Chair. He is now serving as an Area Editor of the Elsevier Physical Communication, Associate Area Editor of Journal of Electronics & Information Technology, and Editor of the Elsevier Computer Communications, PeerJ Computer Science, PLOS ONE, and Frontiers in Signal Processing for Communications, and a Managing Guest Editor of Elsevier Internet of Things and Cyber-Physical Systems, and IEEE Communications Society Technical Committee on Green Communications and Computing (TCGCC) and Signal Processing and Computing for Communications (SPCC) Members. He is a Senior Member of CIC. He is currently an associate professor in the School of Information Engineering, Nanchang University, China. His main research interests include advanced wireless communications (B5G/6G), machine learning, non-orthogonal multiple access (NOMA), ultra-dense network (UDN), unmanned aerial vehicle (UAV), visible light communication (VLC), and blockchain.
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.
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.