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

Nuclear power plants produce about 20% of the United States’ electricity. In order to increase the amount of carbon dioxide-free energy these plants can yield, improvements in efficiency and safety must be made. With support from $1.5 million in grants from the Department of Energy (DOE), researchers at Rensselaer Polytechnic Institute will lead projects aimed at upgrading nuclear power plants with those goals in mind.
An innovative testing platform that more closely mimics what cancer encounters in the body may allow for more precise, personalized therapies by enabling the rapid study of multiple therapeutic combinations against tumor cells. The platform, which uses a three-dimensional environment to more closely mirror a tumor microenvironment, is demonstrated in research published in Communications Biology.
A number of vulnerabilities, known collectively as deep learning adversaries, hold artificial intelligence (AI) back from its full potential in applications like improving medical imaging quality and computer-aided diagnosis.
Accurate predictive simulations of the electrochemical reactions that power solar fuel generators, fuel cells, and batteries could advance these technologies through improved material design, and by preventing detrimental electrochemical processes, such as corrosion. However, electrochemical reactions are so complex that current computational tools can only model a fraction of all relevant factors at one time — with limited accuracy. This leaves researchers reliant on the trial and error of significant and expensive experimentation.
A new model, based on control theory, uses publicly available data to predict the minimal non-pharmaceutical intervention needed to control COVID-19 based on the vaccination rate in 381 metropolitan statistical areas — cities and their surrounding communities — across the country.