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Oklahoma State University

IEM Seminar Series

Industrial Engineering & Management in conjunction with the OSU INFORMS Student Chapter will be sponsoring a Seminar Series in the fall and spring semester. Various topics will be covered by faculty from the department. The series will be held on Wednesdays 2:30pm-4:00pm. Seminar topics, location and a short abstract and bio about the presenters will be available here as it becomes available.






Aug. 24th

 Kalyani Nagaraj

Stochastically-Constrained Simulation Optimization On Integer Lattices


Aug. 31st

Sujeevraja Sanjeevi

Disruption Control with Crew Recovery

Sabre Airline Solutions

Sept. 16th *

Jan Shi*

Manufacturing Analytics: Synergies between Engineering and Statistics

Georgia Tech*

Sept. 21st

Shivakumar Raman

Shape Engineering for Advanced Manufacturing (SEAM)

University of Oklahoma

Sept. 28th

Cole Smith

Exact Algorithms and Bounds for the Dynamic Assignment Interdiction Problem


Oct. 12th

David Coit

Electric Power Generation Expansion Planning: Robust Optimization Considering Uncertainty and Climate Change


Oct. 19th

William Paiva



Oct. 21st*

Jack ReVelle*

The Goldsboro Broken Arrow – When the U.S. Nuked North Carolina

ReVelle Solutions, LLC*

Oct. 26th

Mark Nejad

Network Optimization and Electric Vehicle Routing

University of Oklahoma

Nov. 2nd

Homarjun Agrahari

Perspectives on Building Successful Career as Analytics and Operations Research Practitioner

FleetPride, Inc.


*These Seminars occur on Friday at 3:00 pm


Industrial Engineering & Management Seminar Series
Sponsered by IEM & OSU INFORMS Student Chapter

Network Optimization and Electric Vehicle Routing

Speaker: Dr. Mark Nejad
University of Oklahoma
Date: Wednesday, October 26th, 2016
Time: Seminar: 2:30-3:30pm; Q&A/Social: 3:30-4pm
Location: Engineering North 450

Abstract: To increase the electric driving range of plug-in hybrid electric vehicles (PHEVs), we propose a power-train energy management system that exploits energy efficiency differences of the electric machine and the internal combustion engine during route planning. We introduce the Energy-Efficient Routing problem (EERP) for PHEVs, and formulate this problem as a new class of the shortest path problem. The objective of the EERP is to not only find a path to any given destination, but also to identify the predominant operating mode for each segment of the path in order to minimize the fuel consumption. We prove that EERP is NP-complete and propose two optimal and a fully polynomial-time approximation solution methods. The proposed methods improve the state-of-the-art to optimally solve shortest path problems on general constrained multi-graph networks.

Speaker Bio: Mark Nejad is an Assistant Professor in the School of Industrial and Systems Engineering at the University of Oklahoma. His research interests are in network optimization, game theory, and approximation algorithms. Applications include vehicle electrification, energy systems and renewables, cyber-physical systems, and cloud computing. He has published over twenty peer-reviewed papers in venues such as Transportation Science, IEEE Transactions on Computers, IEEE Transactions on Parallel and Distributed Systems, and IEEE Transactions on Cloud Computing, IEEE Big Data, IEEE CLOUD, and IIE Transactions. He received several publication awards including the 2016 Institute of Industrial and Systems Engineers (IISE) Pritsker Doctoral Dissertation Award, the 2014 INFORMS ENRE best student paper award, 2014 POMS College of sustainable operations best student paper runner-up award, and a finalist in the 2015 IBM Research service science best student paper award.