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.

James Hendler

James Hendler
Director, the Rensselaer IDEA & Tetherless World Chair of Computer, Web and Cognitive Sciences

James Hendler is the Director of the Institute for Data Exploration and Applications and the Tetherless World Professor of Computer, Web and Cognitive Sciences at RPI.  He also is acting director of the RPI-IBM Artificial Intelligence Research Collaboration and serves as a member of the Board of the UK’s charitable Web Science Trust.  Hendler is a data scientist with specific interests in open government and scientific data, AI and machine learning, semantic data integration and the use of data in government. One of the originators of the Semantic Web, he has authored over 450 books, technical papers, and articles in the areas of Open Data, the Semantic Web, artificial intelligence, and data policy and governance. He is also the former Chief Scientist of the Information Systems Office at the US Defense Advanced Research Projects Agency (DARPA) and was awarded a US Air Force Exceptional Civilian Service Medal in 2002. He is the first computer scientist ever to have served on the Board of Reviewing editors for Science. In 2010, Hendler was selected as an “Internet Web Expert” by the US government and helped in the development and launch of the US data.gov open data website. In 2013, he was appointed as the Open Data Advisor to New York State and in 2015 appointed a member of the US Homeland Security Science and Technology Advisory Committee. In 2016, became a member of the National Academies Board on Research Data and Information, in 2017 a member of the Director’s Advisory Committee of the National Security Directorate of PNNL  and in 2021 became chair of the ACM’s global Technology Policy Council. Hendler is a Fellow of the US National Academy of Public Administration, the AAAI, AAAS, ACM, BCS and IEEE.

Education

Ph.D., Computer Science, Artificial Intelligence, Brown University

Sc.M., Computer Science, Artificial Intelligence, Brown University

M.S., Cognitive Psychology, Human Factors Engineering, Southern Methodist University

B.S., Computer Science, Artificial Intelligence, Yale University

Selected Scholarly Works

Publications on Google Scholar
Publications on DBLP
Publications on ACM Digital Library

Spring 2022: Information Session and Workshop for IBM/RPI Call for Proposals

Join us via Webex on Wednesday, July 13, from 1 pm – 3 pm Eastern for an Information Session and Workshop concerning the Request for Joint Rensselaer/IBM Research Proposals. This RFP is part of the AI Research Center (AIRC) - a collaborative research initiative between RPI and IBM to drive world class innovation and fundamental advances in artificial intelligence and machine learning for the benefit of society.  The full RFP is available via the IDEA Intranet (with RPI authentication) here.

Rensselaer Announces Institute for Data, Artificial Intelligence, and Computing

Rensselaer Polytechnic Institute President Shirley Ann Jackson today announced the launch of the Rensselaer Institute for Data, Artificial Intelligence, and Computing (DAIC).

Anonymous (not verified) Tue, 06/21/2022 - 00:00
RPI Floating Solar Explorer App Helps City of Cohoes Win One-of-a-kind Grant erickj4 Wed, 05/04/2022 - 06:32

The City of Cohoes, N.Y. announced on May 3, 2022 that National Grid committing $750,000 in economic development funding to advance their model Municipal Floating Solar Demonstration project. The National Grid grant builds on the foundational $3 million federal investment in this first-of-its-kind in the country floating solar project, secured by U.S. Senate Majority Leader Chuck Schumer and Congressman Paul Tonko in March.

Radoslav Ivanov

Radoslav Ivanov

Prior to joining Rensellaer as an Assistant Professor of Computer Science, Radoslav was a postdoctoral fellow at the University of Pennsylvania, where he worked with Dr. George Pappas and Dr. Rajeev Alur. Radoslav defended his PhD dissertation in 2017 at the University of Pennsylvania under the supervision of Dr. Insup Lee and Dr. James Weimer. His research lies broadly in the field of safe and secure autonomy. The natural application domains of his work are safety-critical cyber-physical systems (CPS) such as automotive CPS and medical CPS. The fields relevant to his research are safe autonomy, neural network verification, CPS security, control theory and sensor fusion.

Education

Ph.D., Computer and Information Science, University of Pennsylvania, 2017.

B.A., Computer Science and Mathematical Economics, Colgate University, 2011.

Selected Scholarly Works

Radoslav Ivanov, James Weimer, Rajeev Alur, George Pappas and Insup Lee, "Verisig: verifying safety properties of hybrid systems using neural network controllers", 22nd ACM International Conference on Hybrid Systems: Computation and Control (HSCC), Montreal, Canada, 2019.

Radoslav Ivanov, Taylor J. Carpenter, James Weimer, Rajeev Alur, George J. Pappas and Insup Lee, "Case Study: Verifying the Safety of an Autonomous Racing Car with a Neural Network Controller", 23rd ACM International Conference on Hybrid Systems: Computation and Control (HSCC), (virtual) Sydney, Australia, 2020.

Radoslav Ivanov, Nikolay Atanasov, Miroslav Pajic, James Weimer, George Pappas and Insup Lee, "Continuous Estimation Using Context-Dependent Discrete Measurements", IEEE Transactions on Automatic Control (TAC), 2018.

Junkil Park, Radoslav Ivanov, James Weimer, Miroslav Pajic and Insup Lee, "Sensor Attack Detection in the Presence of Transient Faults", 6th International Conference on Cyber-Physical Systems (ICCPS), Seattle, WA, USA, 2015.

Radoslav Ivanov, James Weimer, Allan Simpao, Mohamed Rehman and Insup Lee, "Prediction of Critical Pulmonary Shunts in Infants", IEEE Transactions on Control Systems Technology (TCST), 2016.
Gauging the Resilience of Complex Networks

Whether a transformer catches fire in a power grid, a species disappears from an ecosystem, or water floods a city street, many systems can absorb a certain amount of disruption. But how badly does a single failure weaken the network?

Anonymous (not verified) Tue, 01/04/2022 - 00:00