Phone: 815-753-6748

Education: M.S. (1997) in Industrial Engineering, Northern Illinois University; Ph.D. (2002) in Industrial Engineering, Texas A&M University

Research Interests: Large-scale optimization (deterministic and stochastic mixed-integer linear programming, network flow optimization, meta-heuristics), Scheduling, Simulation (discrete-event and continuous), Logistics, electronics manufacturing (lead-free assembly, lean manufacturing, six sigma).

Work Experience: Department of Industrial and Systems Engineering, NIU (2009-present); Department of Industrial & Systems Engineering, Florida International University, Miami (2006-2009); Department of Systems Science and Industrial Engineering, State University of New York at Binghamton (2002-2006)

Professional Associations and Honors: Omega Rho – Honor Society for Operations Research & Management Science (Inducted in 2007); Alpha Pi Mu – Industrial Engineering Honor Society (Inducted in 1996); Member - Institute of Industrial Engineers (IIE), and Institute for Operations Research and the Management Sciences (INFORMS); Who’s Who in America (2005).

Selected Publications

• P. Damodaran(2009). Performance characterization of complex manufacturing systems with general distributions and job failures. European Journal of Operational Research, 197, 588-598.
• Damodaran, P., N.S. Hirani, M.C. Velez-Gallego (2009).  Scheduling identical parallel batch processing machines to minimize makespan using Genetic Alogorithms.  European Journal of Industrial Engineering, 3(2) 187-206.
• *Pradhan, S., P. Damodaran, K. Srihari (2008). Precition of performance measures for Markovian type of manufacturing systesm with product failures.  European Journal of Operational Research, 184, 725-744.
• *Iver, S., S. Sajjala, P. Damodaran, K. Srihari (2008). Implementing 0201's on high density lead-free memory modules.  IEEE Transactions on Electronics Packaging Manufacturing, 31(1), 41-50.
• Damodaran, P., W.E. Wilhelm (2005). Branch-and-Price approach for prescribing profitable feature upgrades.  International Journal of Production Research, 43(21), 4539-4558.
• Damodaran, P., W.E. Wilhelm (2004). Branch-and-Price methods for prescribing profiable upgrades of high-technology products with stochastic demands. Decision Sciences, 35(1), 53-80.

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  * My graduate student is the first author on all the articles marked with *

Funded Projects

Sponsored research funded by federal agency (National Science Foundation), and industry (IBM, Motorola, Royal Caribbean Cruise Lines, Southern Gear & MAchine, Innovative Scheduling, Ball Aerospace & Technologies, Sanmina-SCI, Jabil Circuits, SmartModular Technologies, and Maines Paper & Food Services). Research topics include freight train scheduling, capacity planning, queuing approximations for server assembly, job shop shceduling, yard optimization & simulation, crew scheduling in cruise lines, PCB assembly and testing, manufacturing process improvements, design of experiments, lean and six sigma, etc.  Sponsored projects completed worth ~$2 Million.