Li Zhang
Dr. Zhang’s research interest lies in the broad area of data mining, machine learning, and deep learning, with a special focus on high-resolution time series data. Dr. Zhang is currently interested in developing robust, interpretable, and reliable data mining and machine learning tools for anomaly detection, time series chain discovery, long sequence forecasting, and classification, […]
Chul-Ho Lee
Dr. Chul-Ho Lee is an Assistant Professor in the Department of Computer Science at Texas State University, San Marcos, TX. His research interests are in graph mining, network science, machine learning, and networked and computing systems. He has recently focused on efficient algorithms and computational tools for graph mining and network analysis, modeling, analysis and […]
Yifeng Gao
Yifeng Gao is an assistant professor in the Department of Computer Science at the University of Texas Rio Grande Valley. In the broad research area of data mining and machine learning, he has strong expertise in various time series data mining tasks including motif discovery, anomaly detection, and classification as well as machine learning research […]
Wei Jin
Dr. Wei Jin is currently an associate professor in the Department of Computer Science and Engineering, University of North Texas. Her research primarily focuses on text mining and knowledge discovery, information retrieval and extraction, and Web mining and social network analysis. It is understood that textual information is growing at an astounding pace, creating an enormous […]
Benjamin Soibam
Dr. Soibam’s overall research area is computational genomics and applied machine learning with focus on integrative analysis of large scale genomic datasets to decipher regulatory pathways in cellular functions and diseases. Since arriving at UHD, he has established a vibrant research program that involves undergraduate students and graduate students. He has published several peer-reviewed journal […]
Ting Xiao
Dr. Ting Xiao is an Assistant Professor of Data Science at the Department of Information Science, with a joint appointment with Computer Science and Engineering. As the lead PI of the NSF REU program “Knowledge Beyond Language with Vector Embeddings”, Dr. Xiao stands out with her innovative contributions to AI research and education. In her […]
Mohammad Pourhomayoun
Dr. Pourhomayoun is an Associate Professor of Computer Science at California State University Los Angeles. He is the founder and director of the Artificial Intelligence and Data Science Research Lab at California State University Los Angeles. His research interests include Artificial Intelligence, Deep Learning, Machine Learning, Data Science, and Predictive Analytics. He has over 12 […]
Renjie Hu
Dr. Renjie Hu’s research focuses on applying their machine learning (ML) background to advance research in healthcare and biomedical engineering. Recently, Dr. Hu has been focusing on post hoc model explainability using ML methods and multimodal ML for neural activity data. In general, Dr. Hu’s research interests include multi-modality data in healthcare, explainable AI for […]
Subash Pakhrin
Dr. Pakhrin is an assistant professor in Computer Science and Engineering Technology department at the University of Houston-Downtown. His research interests include the detection of various post-translational modifications in proteins using different natural language processing techniques like transformer-based protein language models. He has been doing extensive research on natural language processing (NLP) and has been […]
Amr Magdy
Amr Magdy is an Assistant Professor of Computer Science and Engineering and a co-founding faculty member of the Center for Geospatial Sciences at UC Riverside. His research interests include big data management, spatial data management, large-scale data analytics, indexing, and main-memory management. His research has been published in prestigious research venues, including VLDB, VLDB Journal, […]
