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.
Ankit Vishnoi
Dr. Ankit Vishnoi is an Associate Professor in the Department of Computer Science & Engineering at Graphic Era (Deemed to be) University, Dehradun, India. With more than two decades of combined academic and industry experience, he has established himself as a leading researcher in cybersecurity, artificial intelligence, IoT ecosystems, and advanced healthcare analytics. Prior to his academic career, he worked with IBM India Pvt. Ltd., contributing to large-scale enterprise solutions and gaining extensive expertise in applied machine learning and secure systems design.
Dr. Vishnoi has published over 30 peer-reviewed research papers in reputed journals and international conferences and has served in key leadership roles for multiple IEEE, Springer, and EAI conferences, including Convener, Co-Convener, Organizing Secretary, and Track Chair. He is actively involved in editorial and review responsibilities for several Scopus-indexed and SCI journals.
His current research focuses on AI-driven cybersecurity frameworks, deep learning for medical imaging, smart contract vulnerability detection, and human–computer interaction models. He also mentors research scholars across emerging domains and contributes to interdisciplinary innovation and technology-driven community development initiatives.
Michela Quadrini
Current research is focused on Artificial Intelligence, Bioinformatics, Formal methods and Languages for the modelling, analysis and verification of Distributed Systems.
Kjiersten Fagnan
Kjiersten Fagnan joined the JGI in 2012 after completing a petascale postdoctoral fellowship at NERSC and CRD. In 2014 Fagnan became the JGI-NERSC Engagement Lead with a focus on adapting JGI workloads to run on supercomputing hardware. She is also working to understand the data-intensive nature of JGI workloads. Fagnan earned her PhD in Applied Mathematics at the University of Washington in 2010 and her BA from UC Berkeley in 2002.
Li-minn Ang
Li-minn Ang is currently the Professor of Electrical and Computer Engineering at the School of Science and Engineering at University of the Sunshine Coast (USC). His research interests are in computer, electrical and systems engineering including Internet of Things (IoT), intelligent systems and data analytics, machine learning, visual information processing, embedded systems, wireless multimedia sensor systems, reconfigurable computing (FPGA) and the development of innovative technologies for real-world systems including smart cities, engineering, agriculture, environment, and health.
Cornelia Fermuller
Cornelia Fermüller’s research is in the areas of Computer Vision and Human Vision. She has studied multiple view geometry and statistics, and her work includes view-invariant texture descriptors, 3D motion and shape estimation, image segmentation, and computational explanations and predictions of optical illusions. Her recent work focuses on the integration of perception, action and high-level reasoning to develop cognitive robots that can understand and learn human manipulation actions.
Filipi Nascimento Silva
Dr. Filipi Silva is a Research Scientist at the Observatory on Social Media (OSoMe), Indiana University. With a Ph.D. in Computational Physics from the University of São Paulo, his expertise lies in the intersection of complex networks, machine learning, text analysis and data visualization. Dr. Silva's research includes contributions to many fields, from bioinformatics, to digital art representation. He is the developer of Helios-Web, a state-of-the-art network visualization tool. And his current interests include mapping science, detecting suspicious activities and uncovering narratives in social media data.
Ranjit Vijayan
Dr. Ranjit Vijayan obtained his PhD in Life Sciences Interface/Biochemistry from the University of Oxford, UK, and his DipGrad in Management from the London School of Economics & Political Science, University of London, UK. In 2004 Dr Vijayan obtained his MSc in Computer Science from the University of Wales, Aberystwyth, UK, and prior to this his BEng in Electrical & Electronic Engineering, Nanyang Technological University, Singapore.
Dr. Vijayan's research interests include; molecular dynamics simulations of biological macromolecules, protein structure modeling, structure based drug discovery, genomics & transcriptomics, pharmacogenomics and high-performance computing.
Feiping Nie
Feiping Nie's research interests are machine learning and its application. He has published more than 100 papers in the following journals and conferences: TPAMI, IJCV, TIP, TNNLS/TNN, TKDE, TKDD, TVCG, TCSVT, TMM, TSMCB/TC, Machine Learning, Pattern Recognition, Medical Image Analysis, Bioinformatics, ICML, NIPS, KDD, IJCAI, AAAI, ICCV, CVPR, SIGIR, ACM MM, ICDE, ECML/PKDD, ICDM, MICCAI, IPMI, RECOMB. According to Google scholar, his papers have been cited more than 2000 times.
Christoph Csallner
My main research interests are in software engineering, especially in program analysis and automated testing.
Qinggang Meng
Dr. Qinggang Meng is a Professor of Robotics and Artificial Intelligence in the Department of Computer Science, Loughborough University. He obtained his PhD from the Department of Computer Science, UWA in the area of AI and robotics.
Dr. Meng's research interests in robotics, unmanned aerial vehicles, driverless vehicles, networked systems, ambient assisted living, computer vision, AI and pattern recognition, machine learning and deep learning, both in theory and applications.
Daniel Grosu
Daniel Grosu is an Associate Professor in the Department of Computer Science at Wayne State University. His research focuses on cloud and edge computing, parallel and distributed algorithms, approximation algorithms, and topics at the intersection between computer science, game theory and economics.
Yangming Lee
Dr. Lee is an Assistant Professor with Rochester Institute of Technology,
Rochester, NY, USA. Before this appointment, he held the positions as an Acting Instructor with the University of Washington, Associate Professor with the Institute of Intelligent Machines, Chinese Academy of Sciences, and Post Doc with the University of Michigan.