Specializes in mathematical modeling, state-of-the-art network optimization techniques, and solving large-scale scheduling problems arising in logistics and transportation.
Research and teaching interests are inventory and supply chain systems, lean production systems, sustainability, and creativity.
Research interests are in integrated simulation and optimization methods applied to healthcare decision-making.
Implementing project based learning (PBL) into traditional engineering curriculum and courses. PBL prepares students for their professional careers by effectively allowing them to use the technical skills gained during the course to identify a problem, develop and solution, and implement their ideas. PBL is also imperative for training student in product development and manufacturing careers.
Traffic operations, signal control optimization, highway capacity analysis, and traffic simulation.
Research interests include stochastic and discrete optimization, supply chain management, and renewable energy integration and power system operations.
Software engineering; internet technologies, real-time control, industrial applications of microcontrollers.
Research interests include high-dimensional learning, stochastic optimization, algorithms and their applications to medical decision-making & traffic modeling.
Numerical and computational methods, applied mathematics, statistical quality control.
His research and teaching interests are in the areas of stochastic optimization, risk management, financial engineering and military operations research.
Stochastic modeling, analysis, and design of healthcare systems and production systems. Data analytics in healthcare.