ISE News and Events

PhD student Mario Arrieta-Prieto won 2nd place in the Best Poster competition at the Technical University of Denmark’s (DTU) 2019 energy summer school, “Data-Driven Analytics and Optimization for Energy Systems”. Presented for his research on “Short-term Forecasting of Wind Power Output’s Predictive Densities via DVINE Copulas”, the award recognizes outstanding modeling efforts in statistics and operations research developed for applications in power systems.

The RPI IIE (Institute of Industrial Engineers) Student Chapter has won the Silver Award for 2019. The award recognizes the chapter's overall achievements in AY 2018-2019.

Last year, the chapter along with IISE have arranged to offer two certificates every year on campus for Six Sigma and Lean Green Belts.  Plans for next year include guest speakers, plant tours, social events, and much more.

The chapter is also planning to host the IISE Regional Conference for the Northeast Region in 2022!

Ning Zhang received first place in the Undergraduate Student Research Dissemination competition given at the 2019 Institute of Industrial and Systems Engineering (IISE) Annual Conference in Orlando, FL.  The award was given by IISE’s Operations Research division.  The award recognizes undergraduate researchers for their contributions to the field of industrial engineering and operations research, as well as their ability to communicate results effectively.  The award evaluation was based on both a written conference paper and an oral research presentation. 

In this feature article, Tom Willemain provokes a good deal of thought about the role of statistical models in supply chain forecasting, a field that he believes lags far behind finance in embracing algorithms over gut instinct. His article is followed by Commentaries from practitioners and researchers about the realities that can lead to "model failure" and the conditions for successful implementation of model-based decision making.

Ana Gabriela Duque is currently a junior Industrial & Management Engineer working on a research project along side Dr. Jennifer Pazour and Dr. Sergio Pequito called Toward Green Fashion Design: A Systems Engineer’s Perspective.

Institute News

TROY, N.Y. – A unique experiment seeking to learn more about the mechanics of diseases like diabetes, Alzheimer’s, and Parkinson’s will soon be conducted in space, and is being led by a research team at Rensselaer Polytechnic Institute. 
The Class of 2023, currently preparing to begin the next stage of their academic careers at Rensselaer Polytechnic Institute, represents the strongest academic incoming class in Institute history and also includes a record number of underrepresented students. The class average on the SAT was 1411 based on the 1600 scale. Ten students had perfect ACT scores. The high-achieving group of 1,750 enrolled students includes 78 valedictorians or salutatorians of their high school graduating class. Approximately 64% ranked in the top 10% of their class.
Professor Emeritus Michael I. Savic, age 89, died in Atlanta, Georgia on June 24, 2019. He was born in Belgrade, Serbia, and immigrated to the United States in 1967. Dr. Savic received a Dr. Eng. Sc. in Electrical Engineering from the University of Belgrade, Yugoslavia, in 1965. He was principal investigator on 32 major projects, mainly in areas of industrial and biomedical electronics, and in signal processing. He published over 79 professional papers, and was granted eight patents; 220 citations of his work were published in literature.
TROY, N.Y. — Imagine you are heading to the grocery store and receive a phone alert asking if you’d also be willing to bring your neighbor’s groceries home. Or you are on your way to a concert and see you could fill the seats of your car—and your wallet—if you picked up a few other music fans along the way. As the supplier in these scenarios, you have the choice of which services you provide and when. This may very well be the way commerce is headed.
TROY, N.Y. —Machine learning has the potential to vastly advance medical imaging, particularly computerized tomography (CT) scanning, by reducing radiation exposure and improving image quality. Those new research findings were just published in Nature Machine Intelligence by engineers at Rensselaer Polytechnic Institute and radiologists at Massachusetts General Hospital and Harvard Medical School.