Research Experience for Undergraduates
Research Experiences for Undergraduates (REUs) offer students the chance to work directly with faculty on active research projects—building technical expertise, strengthening interpersonal skills and exploring potential paths towards graduate study.
The Department of ISE's REU program connects top undergraduate students with ISE faculty to engage in meaningful, faculty-mentored research early in their academic careers. Sponsored by the department, projects culminate in a formal research report and have spanned impact areas like wind energy, supply chain logistics, additive manufacturing and precision agriculture.
Proposals are due early each semester, and students are encouraged to reach out to faculty to explore opportunities that align with their interests.
“The REU program is a meaningful way to document the research our undergraduate students are conducting at the University of Illinois, while also encouraging even more students to get involved in research early in their academic careers,”
Richard Sowers, Professor of ISE and Mathematics
Past Projects
• Zeru Li and James Allison: Multifunctional Structures for Attitude Control
• Jamie Jarauta Gastelu and Richard Sowers: Motion in complex terrains in ROS and gazebo
• Bernadette Wilk and Molly Goldstein: Autonomous Spacewalking Tool with Materials and Database Integration
• Andy Kim and Harrison Kim: An analysis of cost-benefit when replacing a labor operating system with a robotic manufacturing system
• Wenli Wei and Harrison Kim: Optimization of remanufacturing production lines and reverse supply chains
• Connie Ada Lu and Molly Goldstein: Product Design and Feasibility Study of Utility Carts for the Elderly
• Evan Rafol and Molly Goldstein: LEGO Product Reverse Engineering and Customization using 3D Scanning
• Aryyan Kanodia and Rakesh Nagi: Mixed Mode Drone Delivery Research
• Audrey Freeman and Abigail Wooldridge: Monitoring Stress and Burnout of Health Care Workers
• Jialu Liu and Qiong Wang: Combat Lead Pollution in Bangladesh with Business Model Innovation (Part II)
• Madelyn Saenz and Abigail Wooldridge: Alarms and Machine Learning in Hemorrhage Response - A scoping review of the literature
• Alexander Pero and Lavanya Marla: Advanced Bender’s decomposition to compute tight penalized regret bounds
• Dylan Huey and Harrison Kim: Automated LCA Tool Development for Product Family
• Purvang Dada and James Allison: Developing a Simulation Platform using Gazebo/PyBullet for Robot Cable Manipulation
• Madelyn Saenz and Abigail Wooldridge: SEIPS-Based Process Modeling of Postpartum Hemorrhage Care
• Luna Wu and Bob Norris: Development and Implementation of a Safeguarding System for a Semi-Autonomous Surveillance
• Jianling Guo and Professor Yumeng Li: Uncertainty in Physics-informed Machine Learning Models
• Yinjia (Cathy) Li and Professor Pingfeng Wang: State of Health Estimation for Battery System Operations Management
• Gaurang Dada and Professor James Allison: Optimal 3D component Placement and Routing for Interconnected Engineering Systems
• Michael Madiol and Professor Molly Goldstein: Generative Design Research
• Vishvesh Kaushik and Professor James Allison: Creation of an Interactive User Experience Visualization Tool/App for Studying Complex 3D Interconnected Engineering Systems
• Vanessa Blas and Professor Carolyn Beck: Numerical analysis of dimensionality reduction methods for state-space systems
• Jialu Liu and Professor Qiong Wang: Combat Lead Pollution in Bangladesh with Business Model Innovation
• Ruize Gao and Professor Sowers: Fatigue, location, and Multiple Sclerosis
• Houd Hassani and Professor Sowers: Simulation and Quantum Computing
• Yinjia Li and Professor Pingfeng Wang: Reliability Data Analysis for Battery Energy Storage Systems
• Jiahao Zhang and Professor Yuming Li. Integrated experimental and simulation study of 3D printed graded structure for improved impact performance
• Michael Madiol and Professor Goldstein: Exploring surface vs. deep modeling in the mobile SHIELD COVID-19 Laboratory
• Samiksha Arora and Professor Norris. Assessment of crop density using multispectral imagery on an Unmanned Aerial Vehicle
• Adviye Irem Yuceel and Professor Wooldridge. Monitoring Stress and Burnout of Health Care Workers
• Gary Dwiputra Angdoko and Professor Wooldridge: Discrete-Event Simulation for Capacity Assessment and Improvement of the mobileSHIELD COVID-19 Laboratory
• Leah (Frankie) Henson and Professor Beck: Simulation-based analysis of multi-strain virus dynamics over networks
• Gia Thien-Long (Skyler) Do and Professor Norris: Investigation of off-road vehicle local path planning alternatives
• Jerry Wu and Professor Etesami: Implementation of A Hybrid Algorithm for Revenue Management
• Vollin Mathew Memmen and Professor Krishnan: Retrofitting Soft Arms for dexterous manipulation in the FARMBot environment
• Anthony Composto and Professor Wooldridge: Piloting Wearable Sensors to Predict Occupational Stress and Burnout
• Bingyu Zhou and Professor Marla: Penalized Information-relaxation Bounds for Airline Recovery
• Orson Wang and Professor Norris: Development and Implementation of System for Remote Control of an Unmanned Vehicle and Exploration of Augmented Human Control • Scott Jin and Professor P. Wang: Simulation-based Design Optimization of Combined Heat and Power Systems
• Licheng Jiang and Professor Reis: Software development for analysis of waveforms resulting from non-collinear ultrasonic wave mixing