- Associate Dean for Research
- Professor, Civil, Environmental, and Geospatial Engineering
- Director, Rail Transportation Program, Michigan Tech Transportation Institute
- ptlautal@mtu.edu
- 906-487-3547
- Dillman 318, M&M 707
Links of Interest
Research Interests
- Rail and highway transportation / engineering
- Highway-rail grade crossing and trespasser safety
- Multimodal transportation; planning, policy, supply chain logistics and economics
- Sustainability of transportation and life cycle/life cycle cost analysis
- Railway capacity analysis and modeling
- Curriculum and engineering education development
- Industry/university collaboration
Amanda Codere
- Staff, Civil, Environmental, and Geospatial Engineering
Pam Hannon
- Coordinator, Michigan Tech Transportation Institute
- Staff, Civil, Environmental, and Geospatial Engineering
- prhannon@mtu.edu
- 906-487-3065
- Dillman 318
- Senior Research Engineer, Civil, Environmental, and Geospatial Engineering
- Professor Emeritus, Civil, Environmental, and Geospatial Engineering
- wsproule@mtu.edu
- 906-487-2568
- Dillman 301C
Research Interests
- Airport planning and design
- Transportation planning
- Traffic engineering,
- Public transit
- Automated people movers
- Hockey history
- Associate Professor, Civil, Environmental, and Geospatial Engineering
- Affiliated Associate Professor, Computer Science
- klzhang@mtu.edu
- 906-487-1828
- Dillman 301i
Links of Interest
Teaching Interests
- Transportation Network Analysis
- Traffic Flow Theory
- Travel Demand Analysis
- Transportation Systems Operations and Control
- Transportation Planning
- Traffic Engineering
- Optimization Methods
- Deep Reinforcement Learning and Model Predictive Control for Connected and Automated Vehicles
Research Interests
- Data-driven distributionally robust optimization (DRO) based control models for connected and automated vehicles (CAVs)
- Big traffic data analytics using machine learning
- Deep Reinforcement Learning (DRL) and Graph Neural Networks (GNN) for transportation applications
- Mobile and crowd sensing of dynamic traffic systems (e.g., Drone traffic monitoring, social media data for travel pattern analysis using Twitter and Foursquare smartphone apps)
- Dynamic network equilibrium and optimization
- Modeling and simulation of large-scale complex systems (e.g. Traffic Simulation)
- Freight logistics and supply chain systems (e.g., Intermodal Freight Modeling)
- Impact of plug-in electric vehicles to smart grid and transportation network systems
- Interdependency and resiliency of large-scale networked infrastructure systems
- Vehicular Ad-hoc Networks (VANETs)
- Smart Cities
- Cyber-Physical Systems