Advisory Board and Editors Data Mining & Machine Learning
Hongfei Hou
Hongfei Hou, a senior scientist at Pacific Northwest National Laboratory, has attained a Ph.D. in Computer Science from Washington State University. His research area includes cloud computing and machine learning.
Yifan Hu
Yifan Hu is a Principal Research Scientist at Yahoo Labs. Previously he worked at AT&T Labs, Wolfram Research, and Daresbury Lab. He is a contributor to the Graphviz graph drawing system. His research interests include information visualization, machine learning, and numerical and combinatorical algorithms mining.
Ming Hu
Dr. Hu is currently an Assistant Staff in the Department of Quantitative Health Sciences, Lerner Research Institute at Cleveland Clinic. He is also an Assistant Professor (non-tenure track) in the Department of Medicine at Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, an Associate Member of Molecular Oncology Program at Case Comprehensive Cancer Center, and a joint faculty member of Institute for Computational Biology at Case Western Reserve University School of Medicine. Dr. Hu received his B.S. degree in Statistics from University of Science and Technology of China in 2006 and Ph.D. degree in Biostatistics from University of Michigan in 2010. He was a postdoctoral fellow in Dr. Jun S. Liu’s group in Department of Statistics at Harvard University from 2010 to 2013. He jointed the Department of Population Health, Division of Biostatistics at New York University School of Medicine in 2013. In 2016, he moved to his current position in Cleveland Clinic. Dr. Hu has more than 10 years of experience in statistical modeling and statistical computing with applications in statistical genetics and genomics. Recently, his research is focused on genome-wide mapping and analysis of chromosome spatial organization. Dr. Hu has published more than 60 peer-reviewed research papers covering statistics, bioinformatics, statistical genetics and computational biology.
Jun Huan
Dr. Jun (Luke) Huan is a Professor in the Department of Electrical Engineering and Computer Science at the University of Kansas. He directs the Data Science and Computational Life Sciences Laboratory at KU Information and Telecommunication Technology Center (ITTC). He holds courtesy appointments at the KU Bioinformatics Center, the KU Bioengineering Program, and a visiting professorship from GlaxoSmithKline plc. Dr. Huan received his Ph.D. in Computer Science from the University of North Carolina.
Dr. Huan's research is recognized internationally. He was a recipient of the prestigious National Science Foundation Faculty Early Career Development Award in 2009. His group won the Best Student Paper Award at the IEEE International Conference on Data Mining in 2011 and the Best Paper Award (runner-up) at the ACM International Conference on Information and Knowledge Management in 2009. His work appeared at mass media including Science Daily, R&D magazine, and EurekAlert (sponsored by AAAS). Dr. Huan's research was supported by NSF, NIH, DoD, and the University of Kansas.
Starting January 2016, Dr. Huan serves as a Program Director in NSF/CISE/IIS and is on leave from KU.
Jacob J Hughey
I’m an Assistant Professor of Biomedical Informatics and Biological Sciences at Vanderbilt University. My group's research is centered around developing and applying computational methods to large, noisy datasets in order to quantify, model, and understand dynamic biological systems. We are particularly interested in the mammalian circadian system.
Eui-Nam Huh
Dr. Eui-Nam Huh is a Professor within the Department of Computer Science and Engineering at Kyung Hee University, South Korea.
His expertise is focused on cloud computing and machine learning.
Henkjan J. Huisman
Dr. H.J. Huisman received his Ph.D. in quantitative medical ultrasound in 1998 at the Radboud University Medical Center, Nijmegen, The Netherlands. He continued his research in quantitative MR and ultrasound in breast and prostate resulting in several publications, clinical applications and a patent on a Pharmacokinetic DCEMR processing. He started a research group in 2004 on Computer Aided Diagnosis and Intervention of prostate cancer focussing on computerized support systems for interpretation of multiparametric MR and MRL as well as image guided biopsy and intervention. Since June 2017 he is an Associate Professor in Pelvic Imaging Biomarkers. He has published over 100 papers and book chapters and has co-organized several workshops/challenges on prostate MR image analysis.
Eyke Hüllermeier
Eyke Hüllermeier is a full professor in the Department of Computer Science at the University of Paderborn, Germany, where he heads the Intelligent Systems group. He studied mathematics and business computing, received his PhD in computer science from the University of Paderborn in 1997, and a Habilitation degree in 2002. Prior to returning to Paderborn in 2014, he held professorships at the Universities of Dortmund, Magdeburg and Marburg.
Yan Chai Hum
Dr. Hum Yan Chai is a researcher in artificial intelligence and computer vision. He received his B.Eng degree in biomedical engineering from the Universiti Teknologi Malaysia (UTM). He is currently serving as an Assistant Professor in the Department of Mechatronics and Biomedical Engineering, Lee Kong Chian Faculty of Engineering and Science, Universiti Tunku Abdul Rahman.
Martina Iammarino
Martina Iammarino is a Tenured Assistant Professor at the Department of Computer Science and Technologies at Pegaso University in Naples.
She holds a Laurea degree in Computer Engineering in 2019 and a PhD degree in Information Technology for Engineering from the University of Sannio in 2023.
Her research focuses on software engineering, data quality, and process engineering, with a growing emphasis on artificial intelligence. Specifically, her work in AI has been pivotal in addressing challenges in the medical field, with a special interest in Parkinson's disease. Through the application of machine learning and deep learning techniques, her research has advanced understanding and innovation in diagnosing, monitoring, and managing this neurodegenerative disorder.
She has published extensively on AI methodologies applied in various domains and has contributed to the AI and healthcare research community as a reviewer for several international conferences and journals.
In addition to serving on the program committee of several international conferences, Martina Iammarino is an Editorial Board Member for the journal Peerj, and is also one of the main organizers of the CISE Workshop "Computational Intelligence and Software Engineering" held at PROFES 2023.
Biju Issac
Dr Biju Issac is a Computer Science academic staff working at Northumbria University, UK. He has done PhD in Networking and Mobile Communications, MCA (Master of Computer Applications) and BE (Electronics and Communications Engineering). He is a Chartered Engineer (CEng), Senior IEEE member and Fellow of HEA. His research interests are in Wireless Networks, Cybersecurity, AI/Machine Learning applications (security, image processing, text mining etc) and Bio-inspired metaheuristic algorithms. His personal research website: https://www.bijuissac.com/
Rodolfo Jaffé
I`m interested in inter-disciplinary approaches, comprising population and community ecology, genomics and spatial statistics, to understand how the alteration of natural habitats influences biodiversity and the provision of ecosystem services.