Professor Khalil is nationally and internationally recognized expert in probabilistic risk assessment (PRA) and its applications in the environmental, chemical, and nuclear fields as well as PRA applications to cyber & physical security vulnerability assessment and green supply chain risk management. His research interests also include life cycle analysis, renewable energy generation and storage, environmental control technologies, and novel design approaches for harvesting energy from the environment and waste-to-energy conversion systems.
Before his academic appointments at Yale University, Dr. Khalil was the Engineering Manager of the Probabilistic Risk Assessment (PRA) Department at the Millstone Nuclear Power Station in Waterford, CT. Also, he was an MIT Fellow at the Center for Advanced Engineering Studies, Massachusetts Institute of Technology (MIT) in Cambridge, MA, lectured on nuclear risk assessment at MIT summer programs on nuclear safety and nuclear reactor technology, was a research affiliate at Yale School of Management (SOM), and a visiting professor at Worcester Polytechnic Institute (WPI) in Worcester, MA. Dr. Khalil serves as chairman of the annual summer program on climate change and sustainability held at the University of Oxford, UK.
At Yale University, Prof. Khalil taught core courses in the chemical engineering curriculum including chemical engineering process design (the capstone course in the chemical engineering curriculum), chemical engineering process control, separation and purification, and the chemical engineering teaching laboratory. He also taught air pollution control (a core course in the environmental engineering curriculum) and environmental risk assessment (ERA). He also advised senior undergraduate students in their capstone senior projects and independent research projects in chemical and environment engineering disciplines. Also, Prof. Khalil advised graduate engineering students in the independent research studies.
Dr. Khalil is the chairman and operating agent for the International Energy Agency (IEA), Hydrogan Safety Task.
Prof. Khalil is a recipient of the Senior Moulton Medal from the Institution of Chemical Engineers (IChemE) in the United Kingdom. He is also a recipient of numerous international awards from Électricité de France, the Japan Society of Mechanical Engineers (JSME), the Chinese Nuclear Society (CNS), and the Shota Rustaveli National Science Foundation in Tbilisi, Georgia in recognition of his expertise in nuclear safety and management of severe nuclear accidents.
Prof. Khalil is an Editor for the Journal of Process Safety and Environmental Protection (PSEP), an official journal of the European Federation of Chemical Engineering.
Topic Area: Probabilistic Risk Assessment & Reliability Engineering
Scope of this topic area covers:
1) Theory and practice (conceptual frameworks, methods, tools, and applications) of probabilistic risk assessment (PRA).
2) Risk assessment, risk management, and consequence (human safety, economic losses, property damage, and environmental damages) quantification of emerging technologies and novel systems’ design.
3) Environmental risk assessment (including fire risk and toxicological risk).
4) Green supply chain risk management (GSCRM).
5) Cyber and physical security vulnerability assessment, system resilience, and countermeasures.
6) Chemical and nuclear risk assessment and risk management.
7) Natural disasters risk adaptation and risk management.
8) Risk assessment of hydrogen-based technologies and applications (transportation, aviation, etc.)
9) Quantification of human health effects of air and water pollutants.
10) Human reliability analysis (HRA) with environmental consequences.
11) Risk-informed and risk-based decisions with environmental consequences.
12) Uncertainty analysis of probabilistic models and parameters’ aleatory and epistemic uncertainty.
13) Industrial ecology and process safety.
14) Tradeoffs between investment in risk mitigation and cost of unmitigated risk weighted by its probability of occurrence.
15) Reliability predictions of systems, high-temperature power electronics, power generation units, and autonomous environmental sensors.
16) Risk and reliability of technologies and systems used in energy-efficient buildings and waste-to-energy conversion.