First name,Last name,Preferred title,Overview,Position,Department,Individual
Byung-Jun,Yoon,Professor,"Dr. Yoon's main theoretical interests include objective-based uncertainty quantification, optimal experimental design (OED), machine learning, and signal processing. Application areas of interest include bioinformatics, computational network biology, and AI-driven drug/materials discovery.",Professor,Electrical and Computer Engineering,https://scholars.library.tamu.edu/vivo/display/n08866781
Erchin,Serpedin,Professor,"My research interests include signal processing, artificial intelligence, machine learning, biomedical engineering, cybersecurity, and smart grids.",Professor,Electrical and Computer Engineering,https://scholars.library.tamu.edu/vivo/display/n17ba83f2
Robert,Chapkin,Distinguished Professor,"Research in the Chapkin lab focuses on dietary/microbial modulators related to the prevention of cancer and chronic inflammatory diseases.
Our central goal is to (1) understand cancer chemoprevention at a fundamental level, and (2) to test pharmaceutical agents in combination with dietary/microbial (countermeasures to the Western diet) to more effectively improve gut health and reduce systemic chronic inflammation. Since diet influences gut microbiota composition and metabolite production, to unravel the interrelationships among gut health and the structure of the gut microbial ecosystem, we are in the process of evaluating (using transgenic mouse, Drosophila models and humans) how the gut microbiome modulates intestinal cells, innate immune cells and tumors. As part of this endeavor, we are modeling at the molecular level the dynamic relationship between diet and gut microbe-derived metabolites which modulate chronic inflammation and the hierarchical cellular organization of the intestine, e.g., stem cell niche.",Distinguished Professor||Professor,Biochemistry and Biophysics||Nutrition,https://scholars.library.tamu.edu/vivo/display/n3fbb59f8
Zixiang,Xiong,Professor,"My research interest include distributed source coding for sensor networks, data hiding, and network information theory Joint source-channel coding, networked multimedia and data compression Genomic signal processing Network traffic smoothing and modeling.",Professor,Electrical and Computer Engineering,https://scholars.library.tamu.edu/vivo/display/n6d2fe7ec
Ivan,Ivanov,Clinical Professor,,Clinical Professor,Veterinary Physiology and Pharmacology,https://scholars.library.tamu.edu/vivo/display/n6fa588a3
Shuiwang,Ji,Professor,"Shuiwang Ji is currently an Associate Professor in the Department of Computer Science & Engineering, Texas A&M University, leading the Data Integration, Visualization, and Exploration (DIVE) Laboratory. Ji received the Ph.D. degree in Computer Science from Arizona State University in 2010, advised by Prof. Jieping Ye. His research interests include machine learning, data mining, and computational neuroscience. Ji received the National Science Foundation CAREER Award in 2014. He has authored over 80 research articles and has coauthored a book. Currently, Ji serves as an Action Editor for Data Mining and Knowledge Discovery, and an Associate Editor for ACM Transactions on Knowledge Discovery from Data, IEEE Transactions on Neural Networks and Learning Systems, and BMC Bioinformatics. Ji is a Program Chair for the 2017 Bioimage Informatics Conference and a senior member of IEEE.",Professor,Computer Science and Engineering,https://scholars.library.tamu.edu/vivo/display/n731c9f84
Paula,Shireman,Professor,"Dr. Shireman is a Professor in the TAMU School of Medicine. She is board certified in vascular surgery, general surgery, wound care and clinical informatics. She is the PI of a pilot clinical trial with the College of Engineering on establishing artificial intelligence algorithms to monitor activities of daily living (ADL) in elderly subjects. Potential applications include aging in place, improved monitoring in healthcare/assisted living institutions and remote monitoring.
She is the PI of an NIH multicenter U01 grant developing predictive models for surgical outcomes including frailty and social risk factors. The goal is to use data to transform health care, influence federal policy and design financially sustainable care pathways improving outcomes for frail and low socioeconomic status patients. Her interests include predictive modeling, machine learning and simulation. She was a member of the MACRA Episode-Based Cost Measure Clinical Subcommittee to develop measures for Peripheral Vascular Disease Management and Chair of the Clinical Subcommittee Workgroup for Hemodialysis Access Creation.","Professor||Professor, Primary Care & Rural Medicine",Medical Physiology||School of Medicine,https://scholars.library.tamu.edu/vivo/display/n7fcb580a
James,Cai,Professor,"Dr. Cai's research lies at the interface of single-cell biology, computational statistics, and data science. Current research focuses on using machine learning, network science and quantum computing to better understand the diverse behaviors of cells. Dr. Cai's group develops novel algorithms and analytical frameworks to study single-cell omics data from various types of cells, and the genetic basis of phenotypic variability to identify genetic variants that modulate complex phenotypic traits and susceptibility of genetic disorders.",Professor||Professor||Faculty,Veterinary Integrative Biosciences||Center for Statistical Bioinformatics||Electrical and Computer Engineering,https://scholars.library.tamu.edu/vivo/display/n8d287cea
Edward,Dougherty,Distinguished Professor,My research focuses on genomic signal processing and image analysis.,Distinguished Professor,Electrical and Computer Engineering,https://scholars.library.tamu.edu/vivo/display/nf4ef0ac5