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)

• Neural network-based multi-task learning for inpatient flow classification and length of stay prediction Applied Soft Computing 108 (2021), Lu He, Sreenath Chalil Madathil, Gregory Servis, Mohammad T. Khasawneh.
• 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 21 9 (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.
• Redesigning Scheduling Templates to Improve Patient Wait Time and Access in a Pediatric Outpatient Clinic Proceedings of the 2019 Industrial and Systems Engineering Conference (2019), Lu He, So Youn Kweon, Sreenath Chalil Madathil, Mohammad T. Khasawneh.
• Staffing and Scheduling Framework of Merged IR and CathLab Departments Proceedings of the 2019 Industrial and Systems Engineering Conference (2019), Asala Erekat, Hala Sweidan, Sreenath Chalil Madathil, Mohammad T. Khasawneh.
• Assembly line design using a hybrid approach of lean manufacturing and balancing models Production and Manufacturing Research - An Open Access Journal 7 1 (2019), Ala Qattawi, Sreenath Chalil Madathil.
• k-prototype Clustering Algorithm for Segmentation of Primary Care Patients (2019), Mehmet F. Yildirim, Mohammed Aladeemy, Mohammad Khasawneh, Amy Booth, Sreenath Chalil Madathil.
• Segmentation of Primary Care Patients for Improved Resource Management Using Cluster Analysis (2019), Mehmet Yildirim, Mohammed Aladeemy, Amy Booth, Sreenath Chalil Madathil, Mohammad T. Khasawneh.
• Analyzing Staff Experience Feedback Using Text Mining 7th Annual World Conference of the Society for Industrial and Systems Engineering (2018), Rawan Shabbar, Sreenath Chalil Madathil, Srikanth Poranki, Mohammad T. Khasawneh.
• Integration of optimal operational dispatch and controller determined dynamics for microgrid survivability Applied Energy 230 (2018), Alessandro Cattaneo, Sreenath Chalil Madathil, Scott Backhaus.
• On scheduling a photolithography area containing cluster tools Computers & Industrial Engineering 121 (2018), Sreenath Chalil Madathil, Siddhartha Nambiar, Scott J. Mason, Mary E. Kurz.
• Categorizing Call-Back Risk in Healthcare Contact Centers Using Machine Learning (2018), Jared Fiacco, Mohammad T. Khasawneh, Sreenath Chalil Madathil, Alexander Wnorowski, Denise Carpenter.
• Interventional Radiology Procedure Scheduling Using Self-Adaptive Simulated Annealing Optimization Algorithm (2018), Asala Erekat, Sreenath Chalil Madathil, Mohammad T. Khasawneh.
• Mortality Prediction for Atrial Fibrillation Patients Using Neural Networks (2018), Safak Yakti, Serkan Sayagi, Mohammad T. Khasawneh, Sreenath Chalil Madathil.
• Security-Constrained Design of Isolated Multi-Energy Microgrids IEEE Transactions on Power Systems 33 3 (2017), Salman Mashayekh, Michael Stadler, Goncalo Cardoso, Miguel Heleno, Sreenath Chalil Madathil, Harsha Nagarajan, Russell Bent, Marc Mueller-Stoffels, Xiaonan Lu, Jianhui Wang.
• Resilient Off-Grid Microgrids: Capacity Planning and N-1 Security IEEE Transactions on Smart Grid 9 6 (2017), Sreenath Chalil Madathil, Emre Yamangil, Harsha Nagarajan, Arthur Barnes, Russell Bent, Scott Backhaus, Scott J. Mason, Salman Mashayekh, Michael Stadler.

• 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.

• Sustainable Systems Enabling Food Security in Extreme Environments and Food Deserts employing a Convergence of Food, Energy, Water and Systems
• Dashboards For Manufacturing Capabilities During Pandemic