Rutgers School of Engineering faculty are nationally-recognized industry leaders. They are active researchers and experts in the subjects they teach. Professors serve as members of leading professional organizations like the American Society of Mechanical Engineers (ASME), Institute of Electrical and Electronics Engineers (IEEE), Institute of Industrial and Systems Engineers (IISE), and Institute for Operations Research and Management Sciences (INFORMS). They also work as editorial and advisory board members for top journals like IEEE Transactions on Automation Science and Engineering; International Journal of Quality, Statistics and Reliability; and International Journal of Advanced Manufacturing Technology.

Professors bring their industry knowledge to the classroom, enabling students to gain experience solving real-world problems. They help students get the most out of their education, offering virtual office hours to address any questions or points for further discussion. Each of them are committed to helping students form industry connections through their own networks and career events.


Mohsen A. Jafari, PhD

Mohsen A. Jafari, PhD

Professor and Department Chair

Mohsen A. Jafari is a professor and chair of the Department of Industrial and Systems Engineering, Rutgers School of Engineering, a principal at the Rutgers Center for Advanced Infrastructure and Transportation (CAIT), and founder of the Laboratory for Energy Smart Systems (LESS). Since 2006, Jafari’s research focus has been on control and optimization of energy systems with applications in Distributed Energy Resources, smart connected buildings, demand-side management, and electrical vehicles. Jafari has also been active in research concerning transportation safety and mobility since 2005. Prior to 2005, his research focused on additive manufacturing of ceramic actuators and sensors, and intelligent manufacturing in food and pharmaceutical applications. He is one of the pioneers in architecting and building the first multi-material Solid Free Form (SFF) fabrication system with online image-based process control sponsored by the ONR-MURI program.

Overall, Jafari has been principal and co-principal investigator to over $23M R&D funding from the U.S. and international government agencies, and industry. Jafari’s work has led to 120 refereed publications and patents. He actively collaborates with universities and national labs in the U.S. and abroad, and he has advised twenty-three PhD theses and nine post-doctoral and research fellows. He is a member of IEEE and was recipient of the IEEE excellence award in service and research, SAP curriculum award and two transportation safety awards. Jafari is currently a member of New Jersey governor Phil Murphy’s Fuel Cell Task Force and has been a consultant to several Fortune 500 companies, and national and international government agencies.

Education

  • PhD, Industrial Engineering, Syracuse University, 1984
  • MSc, Computer Science, Syracuse University, 1981

Professional Affiliations

  • IEEE Power and Energy
  • IISE
  • Operations Research

Research Interests
Automation sciences with applications in energy, transportation, and manufacturing

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Myong K. Jeong, PhD

Myong K. Jeong, PhD

Professor, Graduate Director

Myong K. (MK) Jeong is a professor in the Department of Industrial and Systems Engineering and the Rutgers Center for Operations Research at Rutgers University. He was formerly an assistant professor in the Department of Industrial and Information Engineering, the University of Tennessee, Knoxville. He worked as a senior researcher from 1993 to 1999 at the Electronics and Telecommunications Research Institute (ETRI). He has focused on developing data mining techniques, process monitoring and control procedures, and optimization techniques for machine learning. The applications include various industries such as gas/oil, semiconductor, transportation, bio-energy, computing, electronics, and automobile.

He has published over sixty journal papers including Technometrics; IEEE Transaction on Semiconductor Manufacturing; IEEE Transactions on Systems, Man, and Cybernetics; Pattern Recognition Letters; and IIE Transaction on Quality and Reliability. He received the Freund International Scholarship and the National Science Foundation (NSF) CAREER Award in 2002 and in 2007, respectively. His research has been supported by the National Science Foundation, National Transportation Research Center, United States Department of Agriculture, Qatar National Research Fund, Electronics and Telecommunications Research Institute, and various industries. He has been a consultant for Samsung Electronics, ETRI, KISTI, and other companies. He is an associate editor of the IEEE Transactions on Automation Science and Engineering, International Journal of Quality, Statistics and Reliability, and advisory board member of International Journal of Advanced Manufacturing Technology. He is a senior member of IEEE.

Education

  • PhD, Industrial and Systems Engineering, Georgia Institute of Technology, 2004
  • MS, Statistics, Georgia Institute of Technology, 2002
  • MS, Industrial Engineering, Korea Advanced Institute of Science and Technology, 1993
  • BS, Industrial Engineering, Han Yang University, 1991

Honors

  • National Science Foundation (NSF) CAREER Award, 2007-2012
  • Omega Rho International Honor Society (Operations Research and Management Science), Faculty Advisor, November 2011
  • Freund International scholarship by American Society for Quality, 2002-2004
  • NAFSA Awards for Excellent International Students by Association of International Educators, 2001-2002

Professional Affiliations

  • Senior member of Institute of Electrical and Electronics Engineers (IEEE)
  • Member of Institute of Industrial and Systems Engineers (IISE)
  • Member of Institute for Operations Research and Management Sciences (INFORMS)

Research Interests

  • Data mining
  • Sensor data analytics
  • Process monitoring
  • Intelligent transportation
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David W. Coit, PhD

David W. Coit, PhD

Professor

David W. Coit’s research interests are in the areas of system reliability modeling and optimization, power systems reliability, and multiple-objective optimization. He has been funded for his research from the NSF, U.S. Navy, U.S. Army, power utilities, and industry. Supported by NSF grants, he developed system reliability models and algorithms to determine optimal system design configurations considering degradation and reliability estimation uncertainty. Working under a grant from a power utility, Coit and his students developed reliability importance metrics and optimal transformer replacement policies. He also previously worked for more than ten years at IIT Research Institute (IITRI) in Rome, NY (now called Alion Science and Technology), where he designed and implemented reliability programs, developed reliability prediction models, and conducted reliability analyses.

Coit has received recognition for his research. In 1999, he was awarded an NSF CAREER grant to research system reliability design optimization with incomplete or uncertain component reliability estimation. In 2001, he was awarded the P.K McElroy award for best paper at the annual Reliability and Maintainability Symposium (RAMS) conference. In 2003, he was awarded the A. J. Golomski award for the best paper at RAMS by an IIE member, and in 2009, he was awarded the A. O. Plait award for the best tutorial at RAMS.

Education

  • PhD, Industrial Engineering, University of Pittsburgh, 1996
  • MS, Industrial Engineering, University of Pittsburgh, 1993
  • MBA, Rensselaer Polytechnic Institute, 1988
  • BS, Mechanical Engineering, Cornell University

Professional Affiliations

  • IISE Transactions
  • INFORMS

Research Interests

  • System reliability modeling and optimization
  • Reliability theory
  • Energy systems planning and optimization models
  • Applied operations research
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Weihong Guo, PhD

Weihong Guo, PhD

Assistant Professor

Weihong ‘Grace’ Guo is an assistant professor in the Department of Industrial and Systems Engineering. She earned her BS in Industrial Engineering from Tsinghua University, China, in 2010 and her PhD in Industrial & Operations Engineering from the University of Michigan, in 2015.

Guo’s research interests are in the areas of statistical quality control and process monitoring, data mining for manufacturing and healthcare systems modeling and improvement, and quality-oriented design and modeling of complex manufacturing systems. Her current research focuses on data fusion methods in the interface between applied statistics and system control/optimization.

She is a member of IISE, INFORMS, and ASME. Guo is the recipient of the 2014 ISERC Quality Control & Reliability Engineering Best Student Paper Award Finalist, the 2014 International Conference on Frontiers of Design and Manufacturing Sciences Best Paper Award, the Rackham Predoctoral Fellowship from the University of Michigan, and the Wilson Prize for the Best Student Paper in Manufacturing. Her teaching interests include quality engineering, data analytics, and manufacturing systems.

Education

  • PhD, Industrial and Operations Engineering, University of Michigan, 2015
  • MS, Industrial and Operations Engineering, University of Michigan, 2012
  • BS, Industrial Engineering, Tsinghua University, Beijing, 2010

Honors

  • First Place Winner in 2014 INFORMS Minority Issues Forum Poster Competition, for poster titled “A Decision Support System on Surgical Treatments for Rotator Cuff Tears”, November 2014
  • Best Paper Award Finalist, Quality Control and Reliability Engineering (QCRE) Student Paper Competition, 2014 Industrial & Systems Engineering Research Conference (ISERC), May 31 – June 3, Montreal, Canada
  • Best Paper Award, the 11th International Conference on Frontiers of Design and Manufacturing (ICFDM), for paper titled “Real-time Within-cycle Monitoring of Nonlinear Profile Signals”, May 23-25, 2014, Nanjing, China
  • Rackham Predoctoral Fellowship (one of the most prestigious awards given to graduate students with a three term stipend and other benefits to support dissertation research), University of Michigan, 2014 (total 76 awardees, among which only 12 are from the College of Engineering)
  • Wilson Prize ($1,000, departmental award given to the best student paper dealing with any aspect of manufacturing systems), Department of Industrial & Operations Engineering, University of Michigan
  • 2014 NSF Travel Grant, for presenting at 2014 ISERC, Montreal, Canada
  • Rackham Travel Grant, University of Michigan (2011-2014)
  • Graduate Student Research Assistantship, Department of Industrial & Operations Engineering, University of Michigan (2010-2013)
  • Departmental Fellowship, Department of Industrial & Operations Engineering, University of Michigan (2012-2013)
  • Second Place Winner in Design and Manufacturing Track in the 7th Annual Engineering Graduate Symposium, University of Michigan (November 2012)
  • Outstanding Graduate of the Year, Tsinghua University, Beijing, China (2010)
  • National Scholarship (8000RMB), Tsinghua University, Beijing, China (2009)
  • Tung OOCL Scholarship (5000RMB), funded by Hong Kong’s Tung Foundation and Orient Overseas Container Line Ltd., Tsinghua University, Beijing, China (2008) 4 Weihong (Grace) Guo Second Prize in “Foreign Language Teaching and Research Press Cup” National English Debate Competition – Tsinghua Round, Beijing, China (2009)
  • Tau Beta Pi, The Engineering Honor Society (2014)
  • Selected attendee of NextProf Workshop at the University of Michigan, College of Engineering (September 24-27, 2013). NextProf Workshop was designed to encourage women in engineering and science to consider academia.
  • Selected attendee of Yonsei Leadership Forum – Northeast Asian network 2009, organized by Yonsei Institute for Leadership Development, Seoul, Korea (2009)

Professional Affiliations

  • Institute of Industrial and Systems Engineers (IISE)
  • Institute for Operations Research and the Management Sciences (INFORMS) – Quality, Statistics, and Reliability section – Data Mining section – Minority Issue Forum
  • American Society of Mechanical Engineers (ASME)
  • Student Volunteer in ASME MSEC 2014

Research Interests

  • Statistical quality control and process monitoring
  • Data fusion for manufacturing and healthcare system modeling and improvements
  • Sensing, modeling, and monitoring of high definition profile data
  • Quality-oriented design and modeling of complex manufacturing systems
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