Where animal science meets computer vision
An interdisciplinary team at Southern Illinois University Carbondale combining computer science, agricultural sciences, and animal nutrition to advance non-invasive detection of rumen health.
Dr. Amer AbuGhazaleh
School of Agricultural Sciences
Southern Illinois University Carbondale
Dr. AbuGhazaleh brings expertise in livestock nutrition and rumen fermentation, leading the experimental design and biological validation aspects of the research. After completing his PhD, he worked as a research scientist in the Department of Animal Science at Clemson University, South Carolina. He currently serves as coordinator for the department's Online Companion Animal Nutrition Program and advisor for the Saluki Service Dawgs Club.
Ph.D. in Dairy Science, South Dakota State University
Dr. Khaled R. Ahmed
School of Computing
Southern Illinois University Carbondale
Dr. Ahmed leads the AI and computer vision aspects of the project, focusing on developing advanced deep learning models for gas detection and quantification. With over 19 years of experience in academia, research, and industry, he previously served as Associate Professor at King Faisal University and was a postdoctoral researcher at University of Tokyo, Japan. He has authored 69 publications and edited four books, serving as PI and Co-PI on 11 funded research projects including three current federal/state research funds.
Ph.D. in Computer Science
Mohamed G. Embaby, PhD
University of California, Davis
Formerly: Southern Illinois University Carbondale
Dr. Embaby contributed expertise in experimental design, laboratory analysis, and data interpretation for the agricultural and nutritional aspects of the research during his time at SIU. He has over 8 years of research experience, previously serving as Research Assistant at the National Research Centre in Egypt's Dairy Cattle Production Department, and has background in statistics and geoinformation systems. He is now continuing his postdoctoral research at UC Davis.
Ph.D. in Agricultural Sciences, Southern Illinois University Carbondale (2018-2024); M.Sc. in Animal Science, Southern Illinois University Carbondale (2016-2018); Master of the Mediterranean Agronomic Institute of Chania (2013-2014)
Taminul Islam
School of Computing
Southern Illinois University Carbondale
Taminul Islam is a doctoral student in Computer Science at Southern Illinois University Carbondale, currently serving as a Research Assistant at the BASE: Bridging AI, Systems, and Environment Research lab. His research focuses on developing innovative artificial intelligence and computer vision solutions for agriculture, environmental monitoring, and food safety applications. He specializes in advanced deep learning techniques including semantic segmentation, object detection, and tracking systems that address real-world challenges in precision agriculture and sustainable food production.
Ph.D. in Computer Science, Southern Illinois University Carbondale (Present); B.Sc. in Computer Science and Engineering, Daffodil International University, Bangladesh
Toqi Tahamid Sarker
School of Computing
Southern Illinois University Carbondale
Toqi is a third-year PhD student in Computer Science, focusing on developing the computer vision architecture and advancing AI techniques for environmental monitoring applications and precision agriculture.
Ph.D. in Computer Science, Southern Illinois University Carbondale (Present); B.Sc. in Computer Science and Engineering, BRAC University, Bangladesh (2012-2016)
This work is supported by the United States Department of Agriculture, National Institute of Food and Agriculture (USDA-NIFA), through the Capacity Building Grants for Non-Land-Grant Colleges of Agriculture.