Five Indian-origin faculty members at the University of South Florida (USF) will be honored with Faculty Outstanding Research Achievement Awards. According to the University statement, they have made significant contributions to research across diverse fields such as biology, business, communication, education, engineering, medicine, psychology, and public health.
Faizan Ali, an associate professor at the School of Hospitality and Tourism Management in the Muma College of Business at the USF Sarasota-Manatee Campus, was recognized for his significant contributions to the field of hospitality and tourism management. His work has notably advanced research methodologies for understanding consumer behaviour and human-computer interaction within the hospitality and tourism industry.
Prahathees Eswara, an associate professor in the Molecular Biosciences department within the College of Arts and Sciences, wasrecognizedd for his exceptional contributions to the field of bacterial cell biology. His work has greatly enhanced our understanding of this area and has also led to the establishment of interdisciplinary collaborations focused on the development of innovative antibiotics.
Sunil Mithas, professor and USF World Class Scholar at the School of Information Systems and Management, Muma College of Business received the award for his outstanding intellectual contributions to the information systems discipline.
Ankit Shah, an assistant professor in the Industrial and Management Systems Engineering department within the College of Engineering, was recognized for his distinguished contributions to the advancement of AI-enabled decision-support methodologies. His research has particularly focused on the detection and mitigation of physical and digital threats in both defense and civilian applications.
Gopal Thinakaran, a professor of Molecular Medicine within the USF Health Morsani College of Medicine, is honored for his exceptional contributions to the field of Alzheimer's disease research. His work has been particularly focused on understanding the molecular pathogenesis of the disease, as well as characterizing the functional role of BIN1, the second most prevalent risk factor for late-onset Alzheimer's disease.
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