Advisory Board and Editors Data Mining & Machine Learning

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.

Berdakh Abibullaev

Dr. Berdakh Abibullaev received his M.Sc. and Ph.D. degrees in electronic engineering from Yeungnam University, South Korea in 2006, and 2010, respectively. He held research scientist positions at Daegu-Gyeongbuk Institute of Science and Technology (2010-2013) and at Samsung Medical Center, Seoul, South Korea (2013-2014). In 2014, he received the National Institute of Health postdoctoral fellowship to join a multi-institutional research project between the University of Houston and Texas Medical Center in developing neural interfaces for rehabilitation. He is currently an Assistant Professor at Robotics Department, Nazarbayev University, Kazakhstan. His research focuses on machine learning algorithms, neural signal processing and Brain-Computer/Machine Interfaces.

Adnan Abid

Adnan Abid is a Professor of Computer Science in the Department of Computer Science at University of Management and Technology, Pakistan. He is a member of IEEE and 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.

Kabindra Adhikari

Kabindra Adhikari is a soil scientist with expertise in pedometrics, soil-landscape modeling, environmental data science and precision agriculture applications. He holds a PhD in Agroecology with research focusing on pedometrics. His research interests include digital soil mapping, pedology, soil sensing, terrain analysis, soil spectroscopy, soil carbon, soil morphometrics, and ecosystem services. He is developing tools and guidelines to promote precision conservation for croplands by coordinating geospatial data streams for the assessment of sub-field cropland productivity, economics, sustainability and environmental impacts.

Giuseppe Agapito

Giuseppe Agapito is an Assistant 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.

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.

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).

Sedat Akleylek

Sedat Akleylek received the B.Sc. degree in Mathematics majored in Computer Science from Ege University in 2004 in Izmir, Turkey, M.Sc. and Ph.D. degrees in Cryptography from Middle East Technical University in 2008 and 2010, in Ankara, Turkey, respectively. He was a post-doctoral researcher at Cryptography and Computer Algebra Group, TU Darmstadt, Germany between 2014-2015. He is currently employed as an associate professor at the Department of Computer Engineering, Ondokuz Mayis University, Samsun, Turkey since 2016. He is a member of the editorial board of IEEE Access, Turkish Journal of Electrical Engineering and Computer Sciences, Peerj Computer Science, and International Journal of Information Security Science. He is co-chair of IEEE Turkey Blockchain Group. His research interests include the areas of post-quantum cryptography, algorithms and complexity, architectures for computations in finite fields, blockchain, applied cryptography for cyber security, malware analysis, IoT and fog computing. He has published more than 100 research papers in international journals, conference proceedings, book chapters and has solved several real-world security and data analytics problems for the industry.

Vicente Alarcon-Aquino

Vicente Alarcon-Aquino received his Ph.D. and D.I.C. degrees in Electrical and Electronic Engineering from Imperial College London, London, U.K. in 2003. He is currently a full Professor and former department head in the department of computing, electronics, and mechatronics at the Universidad de las Americas Puebla, Mexico. In 2017, he spent a short-term research stay as a Visiting Senior Research Fellow in the Department of Informatics at King's College London, UK. He has authored over 180 research articles in several refereed journals and conference proceedings, has written a book on MPLS networks, and has several citations to his research articles. He has served as Guest Editor for the Journal of Universal Computer Science, and is currently acting as an Associate Editor for IEEE Access Journal and as an Academic Editor for PeerJ Computer Science. He is a Senior Member of IEEE, belongs to the Mexican National System of Researchers, and has been elected to membership of the Mexican Academy of Sciences. His current research interests include cybersecurity, network monitoring, anomaly detection, wavelet analysis, and machine learning.

Bilal Alatas

Prof. Alatas received his B.S., M.S., and Ph.D. degrees from Firat University. He is head of the Software Engineering Department at Firat University in Elazig, Turkey and works as a Professor of Software Engineering at this 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 100 papers in many well-known international journals and proceedings of the refereed conference since 2001. He has been editor of twelve journals four of which are indexed in SCI and reviewer of sixty SCI-indexed journals.

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.

Shadi Aljawarneh

Shadi A. Aljawarneh is a full professor within the Department of Software Engineering - His research is centered in software engineering, web and network security, e-learning, AI, machine learning, and cloud computing. Professor Aljawarneh has presented at and been on the organizing committees for a high number of international conferences and esteemed Journals, he is also a board member of the International Community for ACM, Jordan ACM Chapter, ACS, and IEEE. A number of his papers have been selected as "Best Papers" in conferences and journals.