Advisory Board and Editors Data Science

Journal Factsheet
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I told my colleagues that PeerJ is a journal where they need to publish if they want their paper to be published quickly and with the strict peer review expected from a good journal.
Sohath Vanegas,
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Karl Aberer

Karl Aberer is a full professor for Distributed Information Systems at EPFL Lausanne, Switzerland, since 2000; from 2005 to 2012 the director of the Swiss National Research Center for Mobile Information and Communication Systems (NCCR-MICS, www.mics.ch); since September 2012 he is Vice-President of EPFL responsible for information systems; member of the editorial boards of VLDB Journal, ACM Transaction on Autonomous and Adaptive Systems and World Wide Web Journal.

Adaptive & Self-Organizing Systems Data Mining & Machine Learning Data Science Databases Digital Libraries Social Computing World Wide Web & Web Science

Adnan Abid

Adnan Abid is a Professor of Computer Science in the Faculty of Computing and Information Technology at the University of the Punjab, Pakistan. He is a senior member of IEEE, and member of the ACM. He has been associated with Editorial Boards of well-reputed journals in the area of Computer Science. He completed his PhD from Politecnico di Milano, Italy in 2012.

Adaptive & Self-Organizing Systems Computational Linguistics Computer Education Data Mining & Machine Learning Data Science Databases Software Engineering

Oyelola Adegboye

Dr. Oyelola Adegboye is a Principal Research Fellow and an Associate Professor of Biostatistics at the Menzies School of Health Research, Darwin, Australia. He has strong scholarly interests in biostatistics, spatial epidemiology, exposure science, neglected tropical diseases and global health.

Data Science Epidemiology Infectious Diseases Public Health Respiratory Medicine

Rajeev Agrawal

Assistant Professor in the department of computer systems technology at North Carolina A & T State University. Research interests: Big data Analytics, Cloud Computing, Topic Modelling, and Geo Spatial information systems. Member of IEEE, ACM, and ASEE. Published more than 50 referred journal and conference papers and 4 book chapters.

Computer Education Computer Vision Data Mining & Machine Learning Data Science Multimedia Natural Language & Speech Security & Privacy Spatial & Geographic Information Systems

Irfan Ahmad

Dr. Irfan Ahmad is an Assistant Professor in Information and Computer Science department at King Fahd University of Petroleum and Minerals (KFUPM), Dhahran, Saudi Arabia. He received his PhD in Computer Science from TU Dortmund, Germany in 2017.
Dr. Ahmad's research interests are in the areas of pattern recognition especially in document-image analysis, handwriting recognition, and machine-printed text recognition. In addition, he is also interested in machine learning and its applications including deep learning and natural language processing (NLP).

Artificial Intelligence Data Mining & Machine Learning Data Science Natural Language & Speech Neural Networks Sentiment Analysis

Iftikhar Ahmed

Dr. Ahmed is a Professor of Software Engineering at the University of Europe for Applied Sciences in Germany. His research interests lie in Responsible AI, Explainable AI, and Social Network Analysis. Dr. Ahmed holds a Ph.D. in Computer Science from Saarland University, Germany, and a Master's degree in the same field from Albert Ludwigs University of Freiburg, Germany.

Artificial Intelligence Data Mining & Machine Learning Data Science Emerging Technologies Network Science & Online Social Networks Optimization Theory & Computation Social Computing

Bilal Alatas

Prof. Alatas received his B.S., M.S., and Ph.D. degrees from Firat University. He works as a Professor of Software Engineering at Firat University and he is the head of same department. He is the founder head of the Computer Engineering Department of Munzur University and Software Engineering Department of Firat University. His research interests include artificial intelligence, data mining, social network analysis, metaheuristic optimization, and machine learning. Dr. Alatas has published over 250 papers in many well-known international journals and proceedings of the refereed conference since 2001. He has been editor of twelve journals five of which are indexed in SCI and reviewer of seventy SCI-indexed journals.

Adaptive & Self-Organizing Systems Agents & Multi-Agent Systems Algorithms & Analysis of Algorithms Artificial Intelligence Autonomous Systems Bioinformatics Computational Biology Computational Linguistics Computational Science Computer Networks & Communications Computer Vision Data Mining & Machine Learning Data Science Databases Emerging Technologies Multimedia Natural Language & Speech Network Science & Online Social Networks Neural Networks Optimization Theory & Computation Programming Languages Scientific Computing & Simulation Sentiment Analysis Social Computing Software Engineering Text Mining Theory & Formal Methods

Muhammad Aleem

Muhammad Aleem received his Ph.D. degree with distinction in computer science from Leopold-Franzens University, Innsbruck, Austria in 2012. His research interests include parallel and distributed computing comprise programming environments, multi-/many-core computing, performance analysis, cloud computing, and big-data processing. He has published more than 50 research papers in the reputed Journals and International conferences and authored 3 book chapters and 2 books. He is a co-director of the Parallel Computing and Networks (PCN) research group. He is currently working as Professor at National University of Computer and Emerging Sciences, Islamabad, Pakistan.

Artificial Intelligence Data Mining & Machine Learning Data Science Distributed & Parallel Computing Emerging Technologies Mobile & Ubiquitous Computing Programming Languages Scientific Computing & Simulation

Hazrat Ali

Hazrat Ali is a researcher in Artificial Intelligence and Healthcare. He served as an Assistant Professor at Department of Electrical and Computer Engineering, COMSATS University Islamabad, Abbottabad Campus, Abbottabad. His research interests lie in unsupervised learning, generative and discriminative approaches, medical imaging and speech and image processing. He has published more than 50 research articles in peer-reviewed journals and conferences. He is an Associate Editor at IEEE and served as a reviewer at many journals and conferences including IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Medical Imaging, IET Signal Processing, Springer Neural Processing Letters, ACM Transactions on Asian and Low Resource Language Information Processing, Elsevier Computers and Electrical Engineering, ACL 2020, MICCAI 2020. He was selected as young researcher at the 5th Heidelberg Laureate Forum, Heidelberg, Germany. He was selected as a fellow of the DAAD AI-Networking Fellowship Tour 2021.

Artificial Intelligence Computer Vision Data Mining & Machine Learning Data Science Multimedia Natural Language & Speech Radiology & Medical Imaging Robotics Spatial & Geographic Information Systems

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.

Data Science Healthcare Services

Ilkay Altintas

Ilkay Altintas is a research scientist at SDSC, UCSD since 2001. She has worked on different aspects of data science and scientific computing in leadership roles across a wide range of cross-disciplinary projects. She is a co-initiator of and an active contributor to the open-source Kepler Workflow System, and co-author of publications at the intersection of scientific workflows, provenance, distributed computing, bioinformatics, sensor systems, conceptual data querying, and software modeling.

Computational Biology Computational Science Data Science Databases Distributed & Parallel Computing Scientific Computing & Simulation Spatial & Geographic Information Systems

Sharif S Aly

As a veterinary epidemiologist I specialize in dairy cattle infectious diseases and welfare. I received my veterinary medicine degree from Cairo University (1998), practiced for two years before completing the Food Animal Production Medicine Internship at the Caine Veterinary Teaching Center at the U of Idaho, followed by the Food Animal Reproduction and Herd Health Residency at U of California, Davis. I completed my masters and doctoral degrees at UC Davis in Preventive Veterinary Medicine and Epidemiology, respectively.

Animal Behavior Computational Biology Data Mining & Machine Learning Data Science Epidemiology Evidence Based Medicine Infectious Diseases Mathematical Biology Population Biology Statistics Veterinary Medicine