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Assistant Professor of Civil and Industrial Engineering
College of Engineering, Computing and Applied Sciences
Contact: 864-656-0856 or email@example.com
Dr. Kapil Chalil Madathil’s area of expertise is applying the knowledge base of human factors engineering to the design and operation of human-computer systems for complex environments that involve rich interactions between people and technology. His research covers the entire spectrum of system design; from identifying user needs to designing and developing systems that inform and motivate user behavior and empirically evaluate the efficacy of these interventions. He has specific expertise in the areas of human factors and system design and is currently active in the application of these principles to healthcare and engineering education domains.
Dr. Chalil Madathil is also the Deputy Director of the Risk Engineering and Systems Analytics Institute at Clemson University, a university-level research center focused on risk engineering and big data analytics, complex systems, high-performance computing, advanced modeling & simulation, and evidence-based decision making. His work has been published in several scientific peer-reviewed publications in many top venues including ACM Special Interest Group in Computer-Human Interaction (SIGCHI’11), Human Factors and Ergonomics Society’s Annual Meeting, and Joint Summits on Translational Science. He is an adjunct assistant professor in the Department of Public Health at Medical University of South Carolina. His undergraduate degree from VIT University in India is in mechanical engineering and his graduate degrees earned at Clemson are in Industrial Engineering.
From 2009-2010, Dr. Chalil Madathil worked with the Greenville Health System on a project to map processes and identify potential errors involved in oral anti-coagulation therapy. From 2010-2013, he was part of the research team that led the design and development of the Research Permissions Management System (RPMS), a comprehensive multi-institutional health information system. Developed with support from the Medical University of South Carolina and Duke University, RPMS electronically captures and manages informed consents, research authorizations, and patient permissions in both clinical care and research settings.
Dr. Chalil Madathil’s recent research work explores how anecdotal information influences a healthcare consumer’s decision-making processes.
News and Media related to Dr. Chalil Madathil’s work:
Human factors engineering, Healthcare informatics, User-centered design