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.
Christel Baier
Christel Baier is a full professor and head of the chair for Algebraic and Logic Foundations of Computer Science at the Faculty of Computer Science of the Technische Universität Dresden since 2006. From the University of Mannheim she received her Diploma in Mathematics in 1990, her Ph.D. in Computer Science in 1994 and her Habilitation in 1999. She was an associate professor for Theoretical Computer Science at the University of Bonn from 1999 to 2006.
Waqar Shahid Qureshi
Dr. Waqar Shahid Qureshi is an applied AI researcher and engineer with over 22 years of professional experience across academia, research, and industry. His interdisciplinary expertise lies in artificial intelligence, computer vision, robotics, and intelligent sensing systems, with a strong emphasis on real-world deployment in precision agriculture, consumer electronics, and civil infrastructure.
Christian Bird
Christian Bird is a researcher in the empirical software engineering group at Microsoft Research. Christian received B.S. from BYU and his Ph.D. from U.C. Davis.
Davide Aloini
Davide Aloini is Associate Professor of Business Process Management, Informatics for Logistics and Project Management at the Department of Energy, Systems, Land and Constructions Engineering at the University of Pisa, Italy. He holds a PhD in Management Engineering from the University of Rome.
His main research interests include Healthcare Operation Management, Information Systems, Innovation and Risk Management. During Phd studies, research activity has mostly concerned with the application of Risk management techniques to ERP projects. Most recent research interests lie in Business Process Management, Decision Support Systems and Collaborative/Advanced ICT solutions, with special interest in large-scale project, healthcare systems and innovation in high tech firms. More specifically, this includes process identification, modelling, analysis and improvement in complex healthcare systems and networks; exploitation of big data potential in operation management with a particular interest on marketing and CRM; collaborative ICT platform enhancing open innovation.
Alicia Fornes
Alicia Fornés is a Staff Scientist in the Document Analysis Group within the Computer Vision Center at the Universitat Autònoma de Barcelona.
Her research interests include document image analysis, graphics recognition, digital humanities, handwriting recognition, historical documents and optical music recognition.
David De Roure
David De Roure is Professor of e-Research at University of Oxford and Director of the Oxford e-Research Centre. He is a Strategic Advisor to the Economic and Social Research Council in the area of Social Media Data. Working on the intersection of humanities, social science, and computer science, David conducts research on social machines, computational musicology, large scale sociotechnical systems, cyber security and social computing.
Nikolaus Hansen
Senior researcher (director of research). Main research interests include stochastic optimization algorithms, learning and adaptation in optimization, development and assessment of continuous black-box optimization algorithms that are applicable in practice.
Kai Qin
Kai Qin received the Ph.D. degree from the Nanyang Technological University (Singapore) in 2007. After that, he worked at the University of Waterloo (Canada) and then INRIA (France) from 2007 to 2012. He joined the RMIT University (Australia) in 2012, first as a Vice-Chancellor’s research fellow and then promoted to a lecturer. His major research interests include evolutionary computation, machine learning, computer vision, GPU computing and service computing. He is an IEEE senior member.
Yu Dong
Dr. Yu Dong is Associate Professor in Mechanical Engineering, School of Civil and Mechanical Engineering at Curtin University, Australia. He has extensive research expertise in polymer nanocomposites, electrospun nanofibres, green composites, micromechanical modelling, nanomanufacturing and design of experiments. He is a lead editor for "Manufacturing, Characterisation and Properties of Advanced Nanocomposites", MDPI, Switzerland , and "Fillers and Reinforcements for Advanced Nanocomposites", Elsevier, UK, and a sole editor for "Nanostructures: Properties, Production Methods and Applications", NOVA Science Publishers, USA. Dr. Dong is an associate editor for Journals of Frontiers in Materials (Polymeric and Composite Materials section) and Applied Nanoscience.
Tomaso A Poggio
Tomaso A. Poggio, is the Eugene McDermott Professor at MIT and one of the most cited computational scientists. The citation for the 2009 Okawa prize mentions his “…pioneering research ranging from the biophysical and behavioral studies of the visual system to the computational analysis of vision and learning in humans and machines.” His recent work is on a theory of hierarchical architectures for unsupervised learning of invariant representations.
Ramana Vinjamuri
Ramana Vinjamuri received his undergraduate degree in Electrical Engineering from Kakatiya University (India) in 2002. He received his MSc in Electrical Engineering from Villanova University in 2004, specializing in Bioinstrumentation. He received his Ph.D. in Electrical Engineering from University of Pittsburgh in 2008, specializing in Dimensionality Reduction in Control and Coordination of the Human Hand. He worked as a postdoctoral fellow (2008-2012) in the field of Brain-Machine Interfaces (BMI) to control prosthesis in the School of Medicine, University of Pittsburgh. He worked as a Research Assistant Professor in the Department of Biomedical Engineering at the Johns Hopkins University (2012-2013). He worked as an Assistant Professor in the Department of Biomedical Engineering at Stevens Institute of Technology (2013-2020). He was the recipient of the Harvey N Davis Distinguished Teaching Award in 2018 at Stevens. His research at Stevens was supported by Research and Innovation grants from the New Jersey Health Foundation. He received the NSF CAREER Award in 2019 and NSF IUCRC Planning Grant Award in 2020 respectively. He also holds a secondary appointment as an Adjunct Assistant Professor at the Indian Institute of Technology, Hyderabad, India. His research interests are in the areas of – brain-computer interfaces, neuroprosthetics and exoskeletons, machine learning, and signal processing.
Chaman Verma
Dr. Chaman Verma is an Assistant Professor at the Department of Media and Educational Informatics, Faculty of Informatics, Eötvös Loránd University. He is also the project leader and chief researcher of his project sponsored by National Research, Development and Innovation (NRDI) Hungary. He also won a young educator scholarship for novel research sponsored by the EKÖP, NRDI Fund, and the Hungarian Government.
He pursued a post-doctorate at the Faculty of Informatics, Eötvös Loránd University, Budapest, Hungary, sponsored by UNKP, MIT (Ministry of Innovation and Technology), the National Research, Development and Innovation (NRDI) Fund, and the Hungarian Government. He received a Ph.D. in informatics from the Doctoral School of Informatics, Eötvös Loránd University, Budapest, Hungary, with the Stipendium Hungaricum Scholarship funded by the Tempus Public Foundation, Government of Hungary. During his Ph.D., he won the EFOP Scholarship, co-founded by the European Union Social Fund and the Government of Hungary, as a professional research assistant in a real-time system from 2018 to 2021. He also received the Stipendium Hungaricum Dissertation Scholarship of Tempus Public Foundation, Government of Hungary, from 2021 to 2022.
He has been awarded several Erasmus Scholarships for conducting international research and academic collaboration with European and non-European universities. He received the best scientific publication award from the Faculty of Informatics, Eötvös Loránd University, Budapest, Hungary, In the years 2021-2024. He has also been awarded the ÚNKP scholarship for research by the Ministry of Innovation and Technology and the National Research, Development and Innovation (NRDIO) Fund, Government of Hungary, 2021-2023.
He has around ten years of experience in teaching and industry. He has over 150 scientific publications in the IEEE, Elsevier, Springer, IOP Science, Walter de Gruyter and MDPI. His research interests include data analytics, feature engineering, real-time systems, and educational informatics. He is a life member of ISTE, New Delhi, India. He is a member of the editorial board and a reviewer of various international journals and scientific conferences. He was the leading guest editor of the special issue Advancement in Machine Learning and Applications in Mathematics, IF- 2.25, MDPI, Basel, Switzerland, in 2022. He was also a guest editor in two Springer journals. He is a co-editor in the series of conference proceedings of ICRIC-2021-24 published by Springer, Singapore. He reviews many scientific journals, including IEEE, Springer, Elsevier, Wiley, and MDPI. He has Scopus citations of 1603 with an H-index of 24. He has Web of Science citations of 355 with an H-index of 13.