Dr. Chalil Madathil comes to UTEP with a research background in operations research, data analysis, simulation, and process improvement in healthcare, energy, and supply chain management. He is interested in evidence-based research, improving healthcare patient experience, and the design of resilient power networks to sustain disruptions of healthcare systems. Dr. Chalil Madathil earned his doctoral degree in industrial engineering from Clemson University. He comes to UTEP from the Watson Institute of Systems Excellence (WISE), a SUNY Research Foundation at Binghamton University. While at WISE, Dr. Chalil Madathil was recognized as a Career Champion for mentorship in career development. He is a member of the Institute of Industrial & Systems Engineers (IISE), and serves as chair for the IISE Health Systems Track. He is a member of INFORMS, a professional association dedicated to operations research, and Alpha Pi Mu, an industrial engineering honor society.

• Ph D in Industrial Engineering, Clemson University (2017)
• MS in Industrial Engineering, Clemson University (2013)
• BS in Electrical and Electronics Engineering, Mahatma Gandhi University (2006)

• Patient Journey Mapping: A Literature Review Proceedings of the 2020 IISE Annual Conference (2020), Sreenath Chalil Madathil, Myrtede Alfred, Amit J. Lopes.
• Advancing Evidence-Based Healthcare Facility Design: A Systematic Literature Review Health Care Management Science (2020), Farouq Halawa, Sreenath Chalil Madathil, Alice Gittler, Mohammad T. Khasawneh.
• Post-Operative Infection Prediction and Risk Factor Analysis in Colorectal Surgery Using Data Mining Techniques: A Pilot Study Surgical Infections 0 0 (2020), Kamran Azimi, Michael D. Honaker, Sreenath Chalil Madathil, Mohammad T. Khasawneh.
• A systematic review of research design and modeling techniques in inpatient bed management Computers & Industrial Engineering 127 (2019), Lu He, Sreenath Chalil Madathil, Amrita Oberoi, Greg Servis, Mohammad T. Khasawneh.
• Efficient operating room planning using an ensemble learning approach to predict surgery cancellations IISE Transactions on Healthcare Systems Engineering 10 1 (2019), Asala Erekat, Gregory Servis, Sreenath Chalil Madathil, Mohammad T. Khasawneh.

• Integrated Framework for Forecasting and Simulation for Efficient ED Design (2019), Volume Orlando, FL, Asala Erekat, Greg Lenane, Sreenath Chalil Madathil, Mohammad T. Khasawneh.
• Optimal Design of Care Teams in Outpatient Clinics (2019), Volume Orlando, FL, Khalid Aram, Wareef Al Najjar, Sreenath Chalil Madathil, Mohammad T. Khasawneh.
• Simulation-Based Decision Support Tool in a Labor and Delivery Setting (2019), Volume Orlando, FL, Rawan Najjar, Lu He, Kate Nevin, Sreenath Chalil Madathil, Amrita Oberoi, Mohammad T. Khasawneh.

• COVID-19 Response + Recovery Funding: Dashboard Development for COVID-19 Manufacturing Capabilities within El Paso Community