At the University of Missouri, our CELDi team consists of experts in several broad areas and departments to achieve high quality research and projects. The main research areas of our experts are:
- Industrial Engineering
- Transportation Systems Engineering
- Health Management Logistics
- Management Logistics Faculty
- Agricultural Economics
MU CELDi Site Director
Professor of ISE with expertise in material flow modeling, transportation economics, and logistics system modeling. His research has focused on developing integrated systems solutions to a wide range of macro (i.e. coal pipeline systems, state-wide depot location/vehicle routing) to micro (i.e. material handling, cross docking) logistics/distribution problems
MU CELDi Faculty Expertise
- Henry Brown – P.E., Researcher
- Praveen Edara – Assistant Professor of Civil Engineering. Dr. Edara received his PhD from Virginia Tech in transportation systems engineering. He has expertise in traffic flow planning, system optimization and simulation.
- Jung Hyup Kim – Assistant professor of ISE with expertise in human-in-the-loop simulation, cognitive ergonomics, and human behavior modeling. His research has focused on analyzing human cognitive processes and situation awareness in real-world environments.
- Cerry Klein – Professor of ISE with expertise in logistics systems, meta-heuristics, combinatorial optimization, and multi-attribute decision making. His current research is in integrated vehicle routing, health care supply chains, extreme event analysis and integrated logistics models.
- Tim Matisziw – Assistant Professor of Geography and Civil & Environmental Engineering with expertise in facility siting, network modeling, transportation systems, and spatial decision support systems.
- Charles Nemmers – Director MU Transportation Infrastructure Center with expertise in transportation systems. As a former Director of the Office of Engineering R&D for the Federal Highway Administration and having previously served as FHWA Division Administrator in New Jersey and Georgia he brings a wealth of expertise and real life experiences to the team. In his current University position he serves to integrate related disciplines to bring holistic solutions to transportation problems.
- Luis Occena – Chair and Associate Professor Emeritus of ISE with expertise in scalable systems and information integration, computer-aided product and process modeling and realization, product life cycle management, and industrial automation. His work has been funded by NSF, USDA-FS, SME, and several corporate sponsors.
- Suchi Rajendran – Assistant Professor with expertise in supply chain optimization and big data analytics.
- Anthony Ross – Professor with expertise in supply chain, supplier performance and sustainability.
- Kangwon Seo – Assistant Professor with expertise in reliability analysis and applied statistics.
- Sharan Srinivas – Assistant Professor with expertise in multi-criteria optimization, big data analytics and supply chain.
- Carlos Sun – Associate Professor of Civil Engineering. Dr. Sun obtained his Ph.D. in Transportation Engineering from the UC-Irvine and focuses on the transportation aspects of logistics, supply chain, and material flow including intelligent transportation systems, transportation networks, simulation, and multi-modal transportation.
- N. Syam – Associate Professor with expertise in management science, sales analytics and salesforce management.
- Jinglu Tan – Professor of Biological Engineering with expertise in dynamic system modeling and optimization. His research interests include logistics modeling, simulation and optimization of biomass supply and utilization systems.
- Bin Wu – Professor of ISE with expertise in supply chain, systems analysis, and healthcare systems. He is the author of the Handbook of Manufacturing and Supply Systems Design and his research has been funded by the NSF and US DOE.
CELDi is a university-based enterprise providing innovative solutions for logistics and distribution excellence with our partner organizations
“This material is based upon work supported by the National Science Foundation under Grant No. 1339009. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.” | Update: 6/24/2014