Professor Ravichandran is an associated faculty member in the School of Engineering and a faculty for the IT program in the School of Science. He teaches course in the graduate and doctoral programs at Rensselaer. He periodically teaches some of these courses in top business schools in Asia and Europe and brings a global perspective to his teaching. His long term research interests focuses on digital strategies of firms and the mechanisms through which digitization is transforming firms, markets, supply networks and industries. His research has been funded by grants from the U.S. National Science Foundation and the Ministry of Education, Singapore. He has published extensively in leading scholarly journals in Information Systems (Information Systems Research, Journal of Management Information Systems, MIS Quarterly; European Journal of Information Systems, Information Technology Management), Decision Sciences (Decision Sciences; Logistics Information Systems) Strategic Management (Organization Science), Technology Management (IEEE Transaction on Engineering Management, Journal of High Technology Management Research,) as well as in leading practitioner journals (Communications of the ACM). His research has won several awards including the 1) Best Paper, IT and Healthcare Track, International Conference in Information Systems, 2019; 2) Best Information Systems Publication in 2010 (Association of Information System); 3) Best Published Paper Award, 2010 (Information Systems Research); 4) Best Paper Award, Software Technology Track (HICSS, 2010); 5) Best Paper Award Honorable Mention (IEEE Transactions on Engineering Management, 2007); 6) Best Academic Paper Award (Second Supply Chain Management Symposium, McMaster University, 2004); 7) Best Paper Award (OCIS Division, Academy of Management, 2001). He has served in editorial roles in premier academic journals: as a Senior Editor of MIS Quarterly and as a Department Editor for IEEE Transactions on Engineering Management, as an Associate Editor of both MIS Quarterly and Information Systems Research. Prior to joining Rensselaer, Dr. Ravichandran had extensive business experience having served as a Consultant to the Reliance Group, as the Assistant Director of National Productivity Council, India and as a Production Manager in Flakt AB (now Asea Brown Boweri). He has also been a successful entrepreneur; he started, built and ran an IT services firm.

In her current art work and multimedia research, Patricia Search designs multimedia installations that explore the aesthetics of space, time, and action in computer interface design. “I work with digital media and create interactive installations that highlight ways to use diverse media, exploration, physical interaction, and social discourse to create immersive experiences for online communication,” Search said. “These multisensory environments create perceptual dichotomies that juxtapose realism and fantasy, logic and emotion, continuity and transition. The installations incorporate non-Western perspectives of space, time, and action inspired by indigenous cultures, resulting in innovative ways to use interaction design to define a sense of place. As a result, my research is expanding the syntax of experience design and shaping new dimensions in relational aesthetics through the integration of physical and virtual environments. In these installations, multiple viewers use the interaction with physical and virtual elements, social discourse, and memory to define the aesthetics of the experience and a sense of place.” Patricia Search has had over 40 solo exhibitions and multimedia installations of her art throughout the United States, including 11 in New York City, as well as exhibitions in Australia, Brazil, Canada, Cyprus, France, Germany and Taiwan. She has also participated in over 150 group exhibitions in the United States, Canada, Australia, France, Italy, Germany, Portugal, the Netherlands, Czech Republic, Greece, China, and Japan. She was awarded a Fellowship in Computer Art from the New York Foundation for the Arts and received a Fulbright Senior Specialists Grant to work on multimedia projects with two universities in Australia. In 2005, she received the Creative Achievement Award from the International Visual Literacy Association (IVLA), and in 2010, she was awarded the IVLA James G. Sucy Distinguished Service Award. She was President of IVLA from 2009-2010. She received the best paper award for her research from the World Conference on Educational Multimedia and Hypermedia, and she received the IVLA Editors’ Choice Award for best papers in 2003 and 2007. Her art has been published in numerous journals and three television documentaries including a PBS documentary. Patricia Search served as Co-Editor of the international Journal of Visual Literacy and was a contributing editor for the International Journal of Learning for two years. She has co-edited five books on visual literacy research. She served on the Board of Directors of the International Visual Literacy Association and the International Society for the Arts, Sciences, and Technology (ISAST).

Oshani Seneviratne is an Assistant Professor of Computer Science at Rensselaer Polytechnic Institute, where she leads the BRAINS (Bridging Resilient, Accountable, Intelligent Networked Systems) Lab. Her primary research interest is advancing Decentralized Systems (Web, Blockchain, and Decentralized Learning technologies), and she conducts applied research in health informatics and decentralized finance. Oshani obtained her S.M. and Ph.D. degrees in Computer Science from the Massachusetts Institute of Technology (MIT) under the supervision of Sir Tim Berners-Lee, the inventor of the World Wide Web. She previously served as the Director of Health Data Research at Rensselaer.

Mohammed J. Zaki is a Professor and Department Head of Computer Science at RPI. He received his Ph.D. degree in computer science from the University of Rochester in 1998. His research interests focus novel data mining and machine learning techniques, particularly for learning from graph structured and textual data, with applications in bioinformatics, personal health and financial analytics. He has around 300 publications (and 6 patents), including the Data Mining and Machine Learning textbook (2nd Edition, Cambridge University Press, 2020). He is the founding co-chair for the BIOKDD series of workshops. He is currently an associate editor for Data Mining and Knowledge Discovery, and he has also served as Area Editor for Statistical Analysis and Data Mining, and as Associate Editor for ACM Transactions on Knowledge Discovery from Data, and Social Networks and Mining. He was the program co-chair for SDM'08, SIGKDD'09, PAKDD'10, BIBM'11, CIKM'12, ICDM'12, IEEE BigData'15, and CIKM'18, and he recently co-chaired CIKM'22. He is currently serving on the Board of Directors for ACM SIGKDD. He was a recipient of the National Science Foundation CAREER Award and the Department of Energy Early Career Principal Investigator Award, as well as HP Innovation Research Award, and Google Faculty Research Award. His research is supported in part by NSF, DARPA, NIH, DOE, IBM, Google, HP, and Nvidia. He is a Fellow of the IEEE, a Fellow of the ACM, and a Fellow of the AAAS.

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.

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.

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.

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!

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 Head of the Department of Mathematical Sciences, 2012-2024. Dr. Schwendeman is the Director of the Center for Modeling, Optimization, and Computational Analysis (MOCA). 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 other work, Dr. Schwendeman has developed a class of new numerical methods for fluid-structure interaction problems and conjugate heat transfer, and he has developed high-order accurate methods for Maxwell's equations and related systems.  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 has been a leader among the consortium of universities organizing the Mathematical Problems in Industry Workshop (1993-present), and the originator and lead organizer of RPI's Graduate Student Mathematical Modeling Camp (2004-2018).  Dr. Schwendeman has also been 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.