Advisory Board and Editors Data Mining & Machine Learning
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. in electronic engineering from Yeungnam University, South Korea. He held research scientist positions at Daegu-Gyeongbuk Institute of Science and Technology and Samsung Medical Center, Seoul. He is currently an Associate Professor at Robotics Department, Nazarbayev University, Kazakhstan. His research focuses on machine learning, neural signal processing and Brain-Computer/Machine Interfaces.
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.
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 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.
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).
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.
Yong-Yeol Ahn
Yong-Yeol (YY) Ahn is a Professor at Indiana University School of Informatics, Computing, and Engineering. He was a Visiting Professor at MIT during 2020-2021. Before joining Indiana University, he worked as a postdoctoral research associate at the Center for Complex Network Research at Northeastern University and as a visiting researcher at the Center for Cancer Systems Biology at Dana-Farber Cancer Institute after earning his PhD in Statistical Physics from KAIST in 2008.
His research focuses on developing network science and machine learning methods, and applying them to complex social and biological systems. He is a recipient of several awards including Microsoft Research Faculty Fellowship and LinkedIn Economic Graph Challenge.
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 was employed as a professor at the Department of Computer Engineering, Ondokuz Mayis University, Samsun, Türkiye. He has been a professor at the Department of Computer Engineering, Istinye University, Istanbul, Türkiye. Now, he is a member of Chair of Security and Theoretical Computer Science, University of Tartu, Tartu, Estonia. 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.
Noura Al Moubayed
Dr Al Moubayed is an Associate Professor at the department of computer science at Durham University.
Her main research interest is in Explainable Machine Learning, Natural Language Processing, and Optimisation.
Dr Al Moubayed received her PhD from Robert Gordon University, followed by post-doctoral positions at the University of Glasgow and Durham University.
Her research projects focus on applying machine learning and deep learning solutions in the areas of healthcare, social signal processing, cyber-security, and Brain-Computer Interfaces. All of which involve high dimensional, noisy and imbalance data challenges.
Héctor Alaiz Moretón
Héctor Alaiz-Moretón received his degree in Computer Science, performing the final Project at Dublin Institute of Technology, in 2003. He received his PhD in Information Technologies in 2008 (University of Leon). He has worked as a lecturer since 2005 at the School of Engineering at the University of Leon.
His research interests include knowledge engineering, machine and deep learning, networks communication, and security.
He has several works published in international conferences, as well as books, more than 90 scientific publications between JCR papers, Lecture Notes and Scientific Workshops. He has been a member of scientific committees in conferences. He has headed several PhD Thesis and research competitive projects. He is also the vice main of RIASC (Institute of Applied Sciences to Cybersecurity).