Research Funding Updates

Eunshin Byon

Eunshin Byon
Title: BIGDATA: IA: Collaborative Research: From Bytes to Watts – A Data Science Solution to Improve Wind Energy Reliability and Operation
Funding Source: National Science Foundation
The critical barrier to cost effective wind power is partly rooted in wind stochasticity, severely complicating wind power production optimization and cost reduction. Therefore, the long-term viability of wind energy hinges upon a good understanding of its production reliability, which is affected in turn by the predictability of wind and power productivity of wind turbines. Furthermore, the productivity of a wind turbine comprises two aspects: its ability of converting wind into power during its operation and the availability of wind turbines. To enhance wind energy reliability and productivity, modern wind farms are equipped with a large number and variety of sensors.  However, all these data are currently analyzed only in their respective domains.  This project will address the big data challenges, including how to best use spatio-temporal data for wind forecast and how to use data of different nature (wind, power, load etc.) and data of different sources (physical data versus computer simulation data) for power production assessment in a computationally efficient manner. The proposed research activities will demonstrate how dramatically data science innovations can benefit the wind industry.

Eunshin Byon
Title: Collaborative Proposal: A Framework for Assessing the Impact of Extreme Heat and Drought Climate Scenarios on Urban Energy Production and Consumption
Funding Source: National Science Foundation
The modern electric grid, which includes both electricity consumers and producers, faces significant challenges and uncertainties, particularly as a result of potential climate change and extreme weather events. Different from regional- or national-level management, electricity management in densely populated cities poses unique challenges such as elevated electricity demand due to localized characteristics such as urban heat islands. The objective of this research is to provide rigorous and integrative methods for effectively managing city-scale electricity systems during periods of extreme heat and drought. Findings from this research have the potential to significantly impact the way cities and electric utility operators manage electric grids under extreme heat and drought conditions.

Amy Cohn

Amy Cohn
Title: Scheduling Tool with St. Joes
Funding Source: Saint Joseph Mercy Health System
This work will be conducted in collaboration with Research Area Specialist Billy Pozehl, undergraduate CHEPS researchers Anna Learis (IOE), Kevin Li (Engineering Physics), Dale Mallette (CS), Steven MacPherson (CS), and Bassel Salka (IOE), and the St. Joseph surgical chief residents.

Clive D’Souza and Sheryl Ulin

Clive D’Souza

Sheryl Ulin






Interactive Training and Direct Assistance to Reduce Worker Risk of Musculoskeletal Disorders
Funding Source: State of Michigan
Work-related musculoskeletal disorders such as low back injuries and upper limb musculoskeletal disorders are a major cause of disability and workers’ compensation throughout the United States. The objective of this project is to provide employers and workers with information and procedures necessary to identify and control the conspicuous ergonomics workplace risk factors of musculoskeletal disorders.

Ruiwei Jiang

Ruiwei Jiang
Title: Collaborative Research: Enhancing Power System Resilience via Data-Driven Optimization
Funding Source: National Science Foundation
As a backbone of the U.S. infrastructure, the electricity grid transmits around 400 billion dollars of electricity across the country every year. This grid is increasingly vulnerable because of more frequent and severe natural disasters, in addition to the long-standing challenges from random equipment failures and operation errors. The evaluation and mitigation of disruption-related risks and impacts are often computationally prohibitive due to random weather conditions, high-dimensional data and decisions, and the combinatorics nature of component failures. This project will derive analytical models and scalable solution methods to assist system operators to better evaluate and mitigate disruptions. The analytical models employ publically available data on meteorology and transmission availability, and the solution methods will be evaluated on test instances with industrially relevant sizes.

Judy Jin

Judy Jin
Title: Optimizing Reliability Tests for Display by Integrating Reliability Analysis of Field Failure Data
Funding Source: Samsung
This one year research project aims to develop a systematic method to improve LCD display reliability tests through integrating field failure data analysis. It will also enhance the understanding of failure modes of LCD display and provide better reliability modeling and prediction to reduce unexpected failures during field operations.

Viswanath Nagarajan

Viswanath Nagarajan
Title: CAREER: New Mathematical Programming Techniques in Approximation and Online Algorithms
Funding Source: National Science Foundation




Siqian Shen

Siqian Shen
Title: Extreme‐Scale Stochastic Optimization and Simulation via Learning‐Enhanced Decomposition and Parallelization
Funding Source: Department of Energy Early Career Research Program, Office of Advanced Scientific Computing Research
The purpose of this research is to incorporate machine learning techniques into decomposition algorithms for solving stochastic optimization and simulation models using high performance computing. We consider a broad class of complex decision‐making problems, where discrete or continuous decisions are made before and/or after knowing multiple and potentially correlated sources of uncertainties. Examples include Cloud Computing service scheduling, sensor deployment for monitoring critical infrastructures, and other resource allocation and operational problems in energy and national security.

Siqian Shen and Ruiwei Jiang
Title: Collaborative Research: Emerging Optimization Methods for Planning and Operating Shared Mobility Systems under Uncertain Budget and Market Demand
Funding Source: National Science Foundation
As the government and private companies start launching new mobility sharing programs with diverse objective criteria and practical restrictions, they are often constrained to unknown budget for launching new services versus expanding existing ones and also face uncertain customer demands responding to different mobility-sharing forms. The objective of this project is to develop mathematical models and efficient algorithms for shared mobility system design and optimization. The research will: (i) push both theoretical and computational frontiers of optimization methods in new transportation problems; (ii) impact applications of shared mobility that relate to critical civil infrastructures, supply chain & logistics, and other service industries. This is a collaborative research project co-investigated by Prof. Siqian Shen, Prof. Ruiwei Jiang, and Prof. Mengshi Lu (Purdue University).

Faculty & Staff Updates

Wanda Dobberstein, Undergraduate Student Advisor, is the recipient of the Fall 2017 IOE “Extra Mile” Staff Excellence Award. The award is given once a semester to recognize a member of the IOE staff for outstanding work. Wanda was recognized for working tirelessly for our undergraduate students in particular and for the IOE program overall.

Seth Guikema

A University of Michigan research team, led by Seth Guikema, crunches data on the fly to predict a storm’s impact on electrical infrastructure. Their models are part of a larger project that aims to predict the probability of power outages from a wide variety of events, including less severe but more frequent incidents like thunderstorms, heat waves, and blizzards. Ultimately, Guikema envisions a rolling model, updated daily, that utility companies could use to allocate resources on a day-to-day basis. Read more here.

Jack Hu, the J. Reid and Polly Anderson Professor of Manufacturing, has been elected a Foreign Member of the Chinese Academy of Engineering. Hu was elected for his distinguished contributions to mechanical engineering and to the promotion of China-USA exchanges and cooperation in engineering sciences and technology. He was one of 18 foreign experts elected as CAE Foreign Members in 2017. Hu is a professor of Mechanical Engineering, as well as of Industrial and Operations Engineering. Hu is also the Vice President for Research, University of Michigan.

Mariel Lavieri

Mariel Lavieri has been named the IOE Department Richard Wilson Faculty Scholar. She is an outstanding teacher, researcher, mentor, and colleague. This is a very well-deserved honor and follows several other major awards that Mariel and her students have won in the past 12 months.

Mariel Lavieri was honored at the North Campus Deans’ MLK Spirit Awards Ceremony & Reception on Monday, January 15, 2018. The Martin Luther King Spirit Awards are given to students, student organizations, and faculty members at the University of Michigan North Campus who exemplify the leadership and vision of Dr. King through their commitment to social justice, diversity, and inclusion.

Jon Lee, G. Lawton, and Louise G. Johnson Professor of Engineering in Industrial & Operations Engineering, has been appointed as Editor-in-Chief of the journal Mathematical Programming, Series A (MPA). Published by Springer, MPA is the flagship journal of the Mathematical Optimization Society. MPA publishes original articles dealing with all aspects of mathematical optimization; that is, everything of direct or indirect use concerning the problem of optimizing a function of many variables, often subject to a set of constraints. This involves theoretical and computational issues arising in a wide variety of methodological and applied studies. Previously, Jon was a Co-Editor of MPA.

IOE research professor Matt Reed has been selected to receive the 2018 Arnold W. Siegel International Transportation Safety Award from the Society of Automotive Engineers (SAE) International. This award recognizes individuals whose accomplishments include outstanding international research, innovation, and contributions to crash injury protection, crash injury biomechanics and crash injury design for all mobility vehicles, in addition to exceptional leadership activities that have made a significant transportation safety impact on organizations or on society worldwide. Matt is being recognized for his leadership and extensive work in transportation safety.

Nadine Sarter

IOE professor Nadine Sarter has been elected a fellow of the Human Factors and Ergonomics Society. Election to Fellow status is an honor conferred by distinguished colleagues to recognize outstanding achievement, consistently superior professional performance, exceptional contributions, personal service to the Society, and other meritorious accomplishments by Society Members.

The IOE Department is pleased to announce that Pascal Van Hentenryck has been selected for the IOE Department Merit Award for the 2016-2017 academic year. The award is to recognize a high impact accomplishment in research, teaching or service benefiting the Department and the College.

Cathy Boblitt, Amanda Godwin, and Tracey Adkins of the Fall 2017 IOE Staff Social Committee

The IOE staff social committee helped IOE get into the holiday spirit with two giving campaigns in November and December. Members of committee collected gifts from the IOE community to donate to a family through Big Brothers/ Big Sisters of Washtenaw County. The committee also facilitated a food drive for Bryant Community Center.