Heather Nachtmann
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Professor
Also affiliated: United States Department of Transportation (2010–2025); Pennsylvania State University (2020); North Carolina State University (2020); University of Alaska Anchorage (2024); Southeast Missouri State University (2020); University of Pittsburgh (1999–2024); Lehigh University (2020); Kansas State University (2024); California Maritime Academy (2020); Wichita State University (2020); Schlumberger (Ireland) (2023–2024); Industrial Systems and Control (United Kingdom) (2023); Institute of Industrial Engineering (2004); University of Pittsburgh at Johnstown (2020); University Transportation Research Center (2020–2025)
Faculty Researcher
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Dr. Heather Nachtmann's research investigates economic and operations analysis within transportation systems, with a particular focus on inland waterways. She studies the "container on barge" concept, exploring its potential as a solution for seaport congestion and analyzing investment scenarios for waterway infrastructure. Her work also encompasses advanced mobility and the application of data analytics to transportation systems, including machine learning for maintenance optimization and volume forecasting.
As a professor of industrial engineering at the University of Arkansas, Dr. Nachtmann holds the Earl J. and Lillian P. Dyess Endowed Chair in Engineering. She directs the Maritime Transportation Research and Education Center (MarTREC) and the Mack-Blackwell Transportation Center. Her academic contributions include over ninety peer-reviewed publications and leading research projects totaling more than nineteen million dollars. She has received funding from the National Science Foundation for the "Arkansas Smart Transportation Research Incubator through Data Engineering and Science" initiative, serving as Principal Investigator on the $7,000,000 award.
Dr. Nachtmann is recognized for her expertise through her Fellow status in the American Society for Engineering Management and the Institute of Industrial and Systems Engineers, as well as being an Arkansas Research Alliance Fellow. She also contributes to policy and research direction as a member of the Arkansas State Highway and Transportation Department Research Advisory Council and the National Science Foundation Engineering Research Visioning Alliance Standing Council.
Metrics
- h-index: 18
- Publications: 92
- Citations: 1,874
Selected Publications
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Assessing Container on Barge Readiness within Maritime Transportation Systems (2025)
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Forecasting Inland Waterway Container on Barge Volume: A Machine Learning Approach Using Economic Features (2025)
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Value-Focused Assessment of Container on Barge Freight Transportation Readiness (2024)
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System Simulation And Machine Learning-Based Maintenance Optimization For An Inland Waterway Transportation System (2023)
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An alternative solution to congestion relief of U.S. seaports by container-on-barge: A simulation study (2023)
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Economic Impact of Investment Scenarios in the McClellan-Kerr Arkansas River Navigation System (2022)
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Letter from the Editor (2021)
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Literature review and comparative analysis of inland waterways transport: “Container on Barge” (2021)
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Value-Focused Inland Waterway Infrastructure Investment Decisions (2021)
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A tabu search approach to the cargo prioritisation and terminal allocation problem (2020)
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Hybrid simulation to support interdependence modeling of a multimodal transportation network (2020)
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A Heuristic Approach to Managing Inland Waterway Disruption (2020)
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A tabu search approach to the cargo prioritisation and terminal allocation problem (2020)
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A computational comparison of cargo prioritization and terminal allocation problem models (2020)
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Integrating Research Into The Cost Engineering Classroom (2020)
ARA Academy 2023 ARA Fellow
Dr. Nachtmann directs the Maritime Transportation Research and Education Center (MarTREC), a U.S. DOT University Transportation Center, and the Mack-Blackwell Transportation Center. Her research encompasses economic and operations analysis of inland waterways, advanced mobility, and data science for transportation systems.
Policy Impact
Directs the U.S. DOT Maritime Transportation Research and Education Center, strengthening Arkansas's position in transportation logistics and inland waterway commerce.
Growth Areas
['Next Gen Transportation & Logistics Systems', 'Supply Chain Retail & Consumer Analytics']
Resources
Federal Grants 1 $7,000,000 total
E-RISE Rll: Arkansas Smart Transportation Research Incubator through Data Engineering and Science
Collaboration Network
Top Collaborators
- Literature review and comparative analysis of inland waterways transport: “Container on Barge”
- An alternative solution to congestion relief of U.S. seaports by container-on-barge: A simulation study
- Forecasting Inland Waterway Container on Barge Volume: A Machine Learning Approach Using Economic Features
- Value-Focused Assessment of Container on Barge Freight Transportation Readiness
- Value-Focused Inland Waterway Infrastructure Investment Decisions
- Economic Impact of Investment Scenarios in the McClellan-Kerr Arkansas River Navigation System
- System Simulation And Machine Learning-Based Maintenance Optimization For An Inland Waterway Transportation System
- An alternative solution to congestion relief of U.S. seaports by container-on-barge: A simulation study
- Value-Focused Inland Waterway Infrastructure Investment Decisions
- Economic Impact of Investment Scenarios in the McClellan-Kerr Arkansas River Navigation System
- An alternative solution to congestion relief of U.S. seaports by container-on-barge: A simulation study
- System Simulation And Machine Learning-Based Maintenance Optimization For An Inland Waterway Transportation System
- System Simulation And Machine Learning-Based Maintenance Optimization For An Inland Waterway Transportation System
- System Simulation And Machine Learning-Based Maintenance Optimization For An Inland Waterway Transportation System
- System Simulation And Machine Learning-Based Maintenance Optimization For An Inland Waterway Transportation System
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