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Mars Mission Minder

Mars Mission Minder is a data visualization and analysis application designed to support NASA's Mars missions, currently focused on the Mars 2020 Perseverance Rover. The app enables users to analyze three key datasets: PIXL (Planetary Instrument for X-ray Lithochemistry), LIBS (Laser Induced Breakdown Spectroscopy), and SHERLOC (Scanning Habitable Environments with Raman & Luminescence for Organics and Chemicals). These datasets provide insights into elemental composition, mineral abundance, and potential biosignatures on Mars. Analytical tools such as heatmaps, principal component analyses, and ternary diagrams help visualize the data, while Mars Explorer, an interactive map, tracks the rover's path and data collection sites.

Risky Business? Deep Dives into DeFi

We seek to investigate current patterns of usage in DeFi lending protocols, and quantify risk and user behaviors across various protocols. Our strategy is to exploit powerful AI models and technology developed for transaction data such as those arising in health and commerce. For example, we can utilize temporal clustering to characterize different types of users and then use these in a dashboard to understand how usage of lending protocols changes over time.

Lei Yu

Assistant Professor
yul9@rpi.edu
Lei Yu is a Tenure-Track Assistant Professor in the Department of Computer Science at Rensselaer Polytechnic Institute. Before that, he was a Staff Research Scientist at IBM Research, IBM Thomas J. Watson Research Center. His research interests include security and privacy, big data analytics & distributed systems, the security and privacy of machine learning, and cloud and mobile computing. He received his Ph.D. in Computer Science from Georgia Institute of Technology. Additional information can be found on his homepage https://leiyucs.github.io/ .

Information Session for 2025 Project RFP: IBM-RPI Future of Computing Research Collaboration (FCRC) Quantum Computing Track

Posted March 21, 2025

Join us via Microsoft Teams on, Friday, March 28, 2:00pm – 3:00pm Eastern for an Information Session and Workshop concerning the Request for Joint Rensselaer/IBM Research Proposals in the Quantum Computing Track (Track 4). This RFP is part of the Future of Computing Research Collaboration (FCRC) - a collaborative research initiative between RPI and IBM to drive world class innovation and fundamental advances in artificial intelligence algorithm, AI hardware software co-design, Semiconductor Technology and Quantum Computing for the benefit of society.

"Ready for Prime Time: How to Deploy Shiny Apps!" RPIrates Monthly Meeting (Weds, 12 Mar, 6p, AE217)

Posted March 7, 2025

SLIDES for this talk (PDF)

RPI R users are invited to the March 2025 meeting of RPIrates: The RPI R Users Group! Our topic on Weds, 12 Mar (6p, AE217) will be "Ready for Prime Time: How to Deploy Shiny Apps!" led by Dr. John Erickson, Director of Research Operations for the Future of Computing Institute (FOCI) at Rensselaer and Chief Instigator of RPIrates.

"Put Your Data on Maps with Leaflet in R!" RPIrates Monthly Meeting (Weds, 29 Jan, 6p, AE217)

Posted January 24, 2025

RPI R users are invited to the February 2025 meeting of RPIrates: The RPI R Users Group! Our topic on Weds, 29 Jan (6p, AE217) will be "Put Your Data on Maps with Leaflet in R!," led by Dr. John Erickson, Director of Research Operations of the Future of Computing Institute (FOCI) at Rensselaer and Chief Instigator of RPIrates.

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