Research in the Department of Industrial, Manufacturing, and Systems Engineering

Dramatic, measurable advancements continue to propel UTA toward its goal of becoming one of the nation’s premier research institutions.

The University is designated an R-1 Carnegie “highest research activity” institution, putting it in an elite group. The College of Engineering accounts for nearly half of the university’s research expenditures each year.

Research Areas in Industrial, Manufacturing, and Systems Engineering

Data Analytics and Operations Research

  • Victoria Chen, Ph.D. Approximate Dynamic Programming, Stochastic Programming, Adaptive Treatment Strategies, Airline Optimization, Energy System Optimization, Environmental Decision-making, Sustainability Assessment. 
  • Bill Corley, Ph.D. Optimization Theory, Game Theory, Large-scale Linear Programming, Multi-Objective Optimization, Decision Analysis. 
  • Erick C. Jones, Jr., Ph.D. Discrete and Stochastic Optimization, Machine Learning, Discrete Event Simulation, Agent Based Modeling
  • Chen Kan, Ph.D. High-dimensional data analytics, Machine Learning, Statistical Modeling, Signal / Image Processing.
  • Aera LeBoulluec, Ph.D. Data mining, Identify and Analyze Patterns, Decision Analysis (Decision Tree) 
  • Jay Rosenberger, Ph.D. Integer Programming, Stochastic Programming, Large-scale Linear Programming, Applied Simulation, Queuing Models. 
  • Shouyi Wang, Ph.D. Personalized Medicine, Health Care Decision-making, Reinforcement Learning.
  • Yuan Zhou, Ph.D. Agent Based Simulation, Discrete Event Simulation, Data Analytics.

Engineering Education

  • Bonnie Boardman, Ph.D. Undergraduate Program Director, Student Engagement, First Year Entrepreneurial Mindset Development, Learning Analytics.  
  • Jamie Rogers, Ph.D., P.E.;  ABET Assessment, Sustainability, Senior Design Experience. 

Engineering Statistics

  • Victoria Chen, Ph.D. Experimental Design, Statistical Modeling, Design and Analysis of Computer Experiments, Data Mining, Statistical Process Control . 
  • Bill Corley, Ph.D. Distribution Theory, Evidentiary Statistics. 
  • Aera LeBoulluec, Ph.D. Statistical Modeling, Data Mining, Machine Learning, Statistical Process Control 
  • Jay Rosenberger, Ph.D. Optimization of Statistical Models, Design and Analysis of Computer Experiments. 
  • Shouyi Wang, Ph.D. Data Mining, Machine Learning, Pattern Recognition. 

Human Factors

  • Shuchisnigdha Deb, Ph.D.
  • Mahmudur Rahman, Ph.D.

Logistics

  • Erick C. Jones, Jr., Ph.D. Energy and Resilience, Supply Chain Optimization, Healthcare Systems.
  • Caroline Krejci, Ph.D. Regional Food Supply Chains, Crowd-Shipping, Sustainability, Agent-Based Modeling.
  • Jamie Rogers, Ph.D., P.E. Healthcare Systems, Transportation and Distribution Systems.
  • Jay Rosenberger, Ph.D. Airline Operations, Airspace Modeling, Airport Planning, Vehicle Routing, Nurse Staffing, Maintenance Scheduling, Energy Systems.

Manufacturing

  • Brian Huff, Ph.D. Autonomous Systems, Reconfigurable Manufacturing Systems. 
  • Erick C. Jones, Jr. Ph.D Industry 4.0, Internet of Things, Smart Sensors.
  • Chen Kan, Ph.D. Additive Manufacturing, Statistical Quality Control.
  • Jamie Rogers, Ph.D. Facilities Planning and Layout Design. 
  • Yiran (Emma) Yang, Ph.D. Advanced Manufacturing. 

Systems Engineering and Engineering Management

  • Paul Componation, Ph.D. Development and Optimization of Complex Systems, Decision Analysis in Distributed Engineering Design Teams, Parametric Cost modeling.
  • Susan Ferreira, Ph.D. Systems Thinking, Requirements Engineering, Complex Systems and Systems of Systems (SoS) Modeling and Analysis, Systems Engineering Strategy, Risk Management, Sustainability, Ontologies, Investigation of New Areas of Systems Engineering Application. 
  • Mohammad Jahanbakht, Ph.D. Technology Management and Innovation Policy.
  • Yuan Zhou, Ph.D. Complex Systems Modeling, Healthcare Systems Engineering.

Department Research Centers and Labs

Center on Stochastic Modeling, Optimization, and Statistics (COSMOS)

The Center on Stochastic Modeling, Optimization, & Statistics (COSMOS) is a world leader in developing analytics that integrate ideas from statistics, mathematical optimization, and stochastic modeling, and applying these methods for decision-making in complex real-world systems. 

COSMOS includes collaborations with faculty across UTA in the Colleges of Engineering, Science, Business, Nursing, and the School of Urban and Public Affairs as well as UT Southwestern Medical Center at Dallas.  

COSMOS professors are a highly collaborative and enthusiastic group that educate and supervise intelligent students who are interested in the challenge of real-world problems. 

IMSE Affiliation:  Dr. Victoria Chen is the director.  Dr. Jay Rosenberger and Dr. Bill Corley are co-founders; Dr. Shouyi Wang is a faculty leader.

https://cosmos.uta.edu

RFID, Artificial Intelligence and Data Science Laboratories

The RFID, Artificial Intelligence and Data Science Laboratories work to provide integrated solutions in logistics and other data-driven environments through automatic data capture, real-world prototypes, and analysis.  

Our vision is to enhance the Industrial Engineering field by utilizing research methodologies to provide solutions in the areas of Radio Frequency Identification (RFID), Supply Chain Logistics, and Engineering Management and to support project initiatives like RFID, Logistics, Manufacturing (Six-Sigma and Lean initiatives), and Information Technology (ERP, WMS). 

IMSE Affiliation: Dr. Erick Jones is the Lab Director 

Sustainable and Intelligent Manufacturing (SIGMA) Lab

The Sustainable and Intelligent Manufacturing (SIGMA) Lab supports research in advanced manufacturing with a special focus on sustainable manufacturing and smart manufacturing. Advanced manufacturing has been identified as one of the vital industries of the future. SIGMA Lab’s research goal is to proactively revolutionize the current manufacturing by increasing the public awareness on manufacturing’s role in sustainability, enabling new and/or upgraded manufacturing capabilities, and facilitating a digital transformation in manufacturing through advanced data analytics, towards green, smart, and high-resilient manufacturing.

SIGMA Lab works with academic and industry collaborators on multidisciplinary research projects such as additive manufacturing waste recycling, process modeling and control in direct metal laser sintering, sustainable supply chain for additive manufacturing, hybrid additive-subtractive manufacturing, etc. SIGMA Lab aims to create a collaborative, diversified, inclusive, and efficient research environment. We also commit to STEM education (both undergraduate and higher levels), outreach (especially females, minority, and other underrepresented groups), as well as workforce development for future manufacturing. 

IMSE affiliation: Dr. Yiran (Emma) Yang

https://sigmalab.uta.edu

Contact

IMSE Main Office
Woolf Hall 420
817-272-3092
imseinfo@uta.edu

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