Advisory Board and Editors Data Mining & Machine Learning
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 Researcher at the Department of Computer Science at the University of Bari Aldo Moro, Italy. She obtained the PhD in Information Technology for Engineering in February 2023 and the master's degree in 2019 at the University of Sannio. Her current research activities focus on software engineering , software and data quality, process and data engineering. Specifically, more recently, her research dealing with artificial intelligence techniques have been validated in the medical domain. In this regard, she has published several articles based on machine learning and deep learning techniques, applied to different domains. She has also been a reviewer for numerous international conferences and journals and a member of the organizing and program committees of international conferences.
She is among the main organizers of the CISE special session "Computational Intelligence in Software Engineering" held within IJCNN in 2024.
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.
Shalu Jhanwar
Dr. Jhanwar’s research interests lie at the interface of epigenomics, genomics, bioinformatics, and machine learning. She has extensive experience in plant and animal sciences, development biology, and cancer genomics and epigenomics. She has developed machine learning-based tools and bioinformatic analysis pipelines integrating genomic and epigenomic information. In the past, she has identified biomarkers differentiating wild and cultivated varieties of plants using comparative genomic approaches. Upon integrating transcriptomics and chromatin accessibility, presently she is studying the regulatory dynamics underlying structural diversity during organogenesis.
Yaochu Jin
Professor of Computational Intelligence, University of Surrey, UK, Finland Distinguished Professor, Jyvaskyla, Finland, Changjiang Distinguished Professor, Northeastern University, China. Vice President for Technical Activities, IEEE Computational Intelligence Magazine, IEEE Distinguished Lecturer.
Goo Jun
I am currently an assistant professor at the University of Texas Health Science Center at Houston. I work on statistical genetics, computational biology, bioinformatics, and sequence data analysis. With backgrounds in machine learning and data mining, my research is focused on development of computational and statistical methods for analysis of massive data to understand genetics and biology of complex traits. I have been working on the analysis of large-scale next-generation sequencing data, for which I developed statistical models and software pipelines for detecting sample contamination, variant discovery, machine-learning based variant filtering, and genotyping of structural variations. I also work on genetics of diabetes, obesity, and related traits and study of metabolomic and microbiome compositions related to genetics of common and complex traits.
Jayashree Kalpathy-Cramer
Research interests include the use of image processing and machine learning techniques for medical image analysis and retrieval, imaging for radiation therapy, survival analysis for cancer, information retrieval, and statistical modeling.
Abdul Hafeez Kandhro
Dr. Abdul Hafeez Kandhro from Tando Jam; currently working as Assistant Professor at the Institute of Medical Technology, Jinnah Sindh Medical University, Karachi Pakistan. He graduated Ph.D. in Medical Technology (Clinical Laboratory Science) from the Faculty of Medical Technology, Mahidol University, Thailand.
He worked as Clinical Lab. Manager in reputed organizations since 2004 to 2010. While, from 2010 to 2013, he served as Consultant Lab at Healthcare Molecular & Diagnostic Laboratory.
His research interests are Medical Bioinformatics, Systems Biology, Cancer Genetics, Metabolic Syndrome, microRNAs, Thalassemias, IDA and pharmaceutical compounds.
Gregory M Kapfhammer
Focusing on software engineering, software testing, and data science, Gregory M. Kapfhammer is an Associate Professor of Computer Science at Allegheny College.
Gökhan Karakülah
Dr. Gökhan Karakülah currently works at Dokuz Eylül University, Izmir International Biomedicine and Genome Institute in Turkey as an associate professor. He obtained BSc (2005) from Ege University, and MSc (2009) and PhD (2014) degrees from Dokuz Eylül University, Health Sciences Institute in Turkey. Between October 2014 and April 2016, he joined Dr. Anand Swaroop’s research group as a postdoctoral researcher at National Eye Institute, NIH, US. The main focus of his current research has been to develop tools and algorithms for the better analysis and integration of diverse “omics” data sets generated with next generation sequencing technologies.