- Professor, Civil, Environmental, and Geospatial Engineering
- Associate Chair for Research, Civil, Environmental, and Geospatial Engineering
- qingdai@mtu.edu
- 906-487-2620
- Dow 805
Links of Interest
Teaching Interests
- Matrix structural analysis
- Finite element analysis
- Concrete Materials
- Pavement design
- Timber design
Research Interests
- Computational analysis for material research: multiscale modeling, finite element analysis, discrete element analysis, multiphysical modeling, fracture simulation and molecular dynamics
- Acoustic and ultrasonic measurement, NDE technique; advanced X-ray and neutron scattering characterization
- Low-carbon cementitious materials; supplementary cementitious materials with waste ingredients; sustainable development; durability performance
- CLT panels and timber structures; structural resilience; climate change
- Resilience of electrical power distribution and transmission systems, pavement resilience subjected to extreme weather conditions
- Active-material actuator design, wind-structure interaction, vibration reduction
- Assistant Professor, Civil, Environmental, and Geospatial Engineering
Links of Interest
Research Interests
- Data-driven Infrastructure Management
- Project Delivery and Procurement
- Smart Construction
- Risk Management
- Equity and Diversity
- Text Analytics and Natural Language Processing
- Artificial Intelligence Modeling
- 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
- Associate Professor, Civil, Environmental, and Geospatial Engineering
- Associate Chair for Curriculum, Civil, Environmental, and Geospatial Engineering
- Affiliated Associate Professor, Electrical and Computer Engineering
- raswartz@mtu.edu
- 906-487-2439
- Dillman 201I
Research Interests
- Application computationally efficient and robust embedded algorithms for monitoring and protection of civil infrastructure assets such as buildings, bridges, pipelines, wind turbines, roadways, and railroads.
- Assistant Professor, Civil, Environmental, and Geospatial Engineering
- qntran2@mtu.edu
- 906-487-3053
- Dillman 301H
Links of Interest
Research Interests
- Pressure sensing
- Non-destructive testing
- Noninvasive characterization of construction materials and biological tissues
- Visual sensing and Deep learning algorithms
- Ultrasound and microbubble cavitation
- Distinguished Professor, Transportation Engineering
- zyou@mtu.edu
- 906-487-1059
- Dillman 301A
Links of Interest
Teaching Interests
- Road design and analysis
- Civil engineering materials
- Sustainable pavement engineering
- Advanced asphalt materials
- Pavement mechanics
Research Interests
-
Design, construction, and maintenance of pavements
-
Micromechanics for road materials
- Discrete element modeling and finite element modeling techniques
-
Construction materials: asphalt, aggregate, asphalt concrete
-
Alternative materials for civil engineering
- Recycled materials for civil engineering
- 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