Donald Schwendeman

Professor, Department Head and Director, Center for Modeling, Optimization and Computational Analysis (MOCA)
Dr. Schwendeman received his B.S.E. in Aerospace Engineering from the University of Michigan, and earned his Ph.D. in Applied Mathematics at the California Institute of Technology (Caltech) under the supervision of Professor G.B. Whitham, FRS.  Dr. Schwendeman took a one-year postdoctoral research position at Caltech working with Professor H.B. Keller, before joining the faculty in the Department of Mathematical Sciences at Rensselaer as an assistant professor in August, 1987.  Dr. Schwendeman received promotions to associate professor with tenure and then professor, and was named the Head of the Department of Mathematical Sciences in 2012. Dr. Schwendeman's research focuses on the development and analysis of numerical methods for systems of partial differential equations (PDEs) that arise in applications of science and engineering.  A significant portion of his work has centered around the development of numerical methods for systems of PDEs modeling wave phenomena in reactive and nonreactive flows.  This work has included numerical studies of shock wave focusing and convergence, transonic and hypersonic aerodynamics, and multi-phase and multi-material high-speed reactive flow.  In recent work, Dr. Schwendeman has developed a class of new numerical methods for fluid-structure interaction problems.  All of this work has been in collaboration with researchers at national labs (Los Alamos and Lawrence Livermore) and at Rensselaer. Dr. Schwendeman is also actively involved in undergraduate and graduate education and career development.  He is a leader among the consortium of universities organizing the Mathematical Problems in Industry Workshop (1993-present), and the originator and lead organizer of the Graduate Student Mathematical Modeling Camp (2004-present).  Dr. Schwendeman is also an active member of the NSF-funded Research Training Grant (RTG) program in the department, which supports the research and education of several graduate students and postdoctoral research fellows.

Dorit Nevo

Professor, Management Information Systems; Vice Provost and Dean, Graduate Education
Dorit Nevo is a Professor of Management Information Systems at the Lally School of Management. She joined RPI in 2012, and prior to that was an Associate Professor at the Schulich School of Business in Toronto. Professor Nevo obtained her BA and MS in Economics and PhD in Management Information Systems. Since joining RPI, she held the roles of program director for the MS in Business Analytics, Acting Associate Dean for the Lally school of Management, and MS and MBA programs director. Dorit’s research focuses on interactions between computers and their users within the business environment. This work was published in leading academic and business journals including MIS Quarterly, Information Systems Research, Journal of Management Information Systems, Sloan Management Review, and the Wall Street Journal. She also examines how news readers receive the advice of fake news algorithms. This work received media attention from the ACM and IEEE among others. On the teaching front, Dorit mostly teaches Statistics and Data Science at the Lally School of Management. She is the recipient of the RPI Trustees’ Outstanding Teacher Award and the David M. Darrin ’40 Counseling Award in Celebration of CLASS.

Eric Ameres

Sr. Lecturer
Dr. Ameres returned to RPI after a successful career in industry developing multimedia tools and technology in a number of fields. He has developed groundbreaking MIDI and music software, tools for game developers as well as video and audio compression and streaming technology (including over a dozen patents now held by Google) that has become the format of choice on many of the most popular video platforms on the internet. Ameres completed his M.S. and Ph.D. at RPI while working as Sr Research Engineer at Rensselaer's Experimental Media and Performing Arts Center (EMPAC) where he and collaborators developed "The Campfire", a novel, immersive and interactive visualization system allowing for a unique form of "spatialization" of complex data. He continues to develop applications for The Campfire as an affiliate of Rensselaer's Institute for Data Exploration and Analytics (IDEA). Fun facts: Ameres' family connection to RPI goes back to the class of 1918 and includes 6 alumni of the Institute (so far)! Coincidentally, Ameres' high school best friend is a direct descendent of none other than Stephen Van Rensselaer himself!

James Hendler

Tetherless World Senior Constellation Professor of Computer, Web and Cognitive Science and Director of the Future of Computing Institute
James Hendler is the Director of the Future of Computing Institute and the Tetherless World Professor of Computer, Web and Cognitive Sciences at RPI and is also director of the RPI-IBM Artificial Intelligence Research Collaboration.  Hendler is a data scientist with specific interests in open government and scientific data, data science for healthcare, 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.

Jason Kuruzovich

Associate Professor of Business Analytics
Professor Kuruzovich’s course on database management integrates the technical challenges of managing data with the business challenges of deriving value through statistical analysis, visualization, and data mining. Professor Kuruzovich’s research broadly examines the means through which both individuals and organizations derive value from information systems and focuses on the intersection between information systems and marketing. His research has been published in leading academic journals including the Journal of Marketing, Information Systems Research, and Organizational Behavior and Human Decision Processes.   Professor Kuruzovich’s previous work experience includes consulting experience with numerous Fortune 500 companies and several high-technology startups.

Jennifer Hurley

Richard Baruch M.D. Career Development Chair & Associate Department Head
Dr. Jennifer Hurley received her B.S. from Juniata College in 2004 in molecular biology. She did her Ph.D. at Rutgers/UMDNJ with Drs. Nancy Woychik and Masayori Inouye, studying the function of Toxin-Antitoxin modules in bacteria. She was recognized by the American Society for Biochemistry and Molecular Biology for excellence in research for her study of the HigBA toxin-antitoxin module. Jennifer did her Postdoctoral fellowship at the Geisel School of Medicine at Dartmouth with Drs. Jay Dunlap and Jennifer Loros, investigating the relationship between the core proteins and the output of the circadian clock in Neurospora. Her Fellowship was funded by the Ruth Kirschstein National Research Service Award from the National Institute of General Medical Sciences and she received a Perkins award for her contributions to Neurospora research. Dr. Hurley joined the Department of Biological Sciences at Rensselaer Polytechnic Institute in 2015. Her lab has received the 2020 Junior Faculty Research Award from the School of Science at RPI, the 2020 Society for Research in Biological Rhythms Junior Faculty Research Award, the Beadle and Tatum Award from the Neurospora Society, and NIH MIRA award and an NSF CAREER award.

IDEA Cluster Details

The IDEA Cluster is a high performance computing environment consisting of five Intel Xeon and two AMD compute servers in various configurations ranging from 24-40 cores (48-80), 256GB-1TB RAM, and up to four GPUs per machine (Tesla K40m or Titan RTX). The IDEA Cluster includes two dedicated storage servers totaling more than 40TB of usuable space. The IDEA Cluster is designed for dedicated data mining, machine learning, and neural computing-intensive jobs using popular toolkits.