Prof. Tomek Strzalkowski research interests span a wide spectrum of human language technology including computational linguistics and sociolinguistics, socio-behavioral computing, interactive information retrieval, question-answering, human-computer dialogue, serious games, social media analytics, formal semantics, and reversible grammars. He has directed research sponsored by IARPA, DARPA, ARL, AFRL, NSF, the European Commission, NSERC, as well as a number of industry-funded projects. He was involved in IBM’s Jeopardy! Challenge in advanced question answering. Dr. Strzalkowski has published over a hundred and fifty scientific papers, and is the editor of several books, including Advances in Open Domain Question Answering. He serves on the Editorial Board of the journal of Natural Language Engineering.   Prior to joining RPI, Dr. Strzalkowski was Professor of Computer Science at SUNY Albany. At SUNY, he was the founding Director of the Institute for Informatics, Logics, and Security Studies with research budget of more than $35 million. He came to SUNY from GE CRD where he was a Natural Language Group Leader and Principal Scientist. At GE, Dr. Strzalkowski directed projects on automated technical manuals, medical informatics, speech recognition, automated summarization, as well as multimedia processing including language and video. Before coming to GE, he was a research faculty at the Courant Institute of New York University, where he worked on applications of natural language processing to information retrieval.   Current projects include research into social dimensions of information spread online, internet ethnography, and building effective AI defenses against disinformation and exploitation of human socio-cognitive vulnerabilities online, including social engineering attacks. Some example projects include: GATOR: The Goal-oriented Autonomous Dialogue System. We develop a new type of human-machine dialogue system that uses deep learning technologies (such as transformers) to learn how to recognize and generate dialogue plans, i.e., semantic and pragmatic structures that represent one party’s goals and intentions, as well as the impact these are having on the other party. Unlike the current transformer-driven chatbots, the core learning is not to transform one language expression (input) into another language expression (response) but instead to construct a response plan that would properly address the plan in the input and the history of interaction. Consequently, the learning process takes three types of information: (1) the input utterance; (2) its semantic-pragmatic plan, i.e., the plan that was used to produce the utterance, and (3) the history of interaction up to this point. Furthermore, the cumulative history of the dialogue is not merely the memory of the utterances exchanged earlier, but it captures, in a condensed semantic form, the evolving state of the parties’ objectives as well as the emerging sociolinguistic behavioral patterns of both (all) parties. Personalized AutoNomous Agents Countering Social Engineering Attacks (PANACEA) protects online users against current and future forms of social engineering. PANACEA serves as an intermediary between attackers (human, automated, hybrid, coordinated) and the potential victim(s) they target. Depending upon the nature and source of communication, PANACEA either handles it autonomously, or allows the user to proceed with an exchange while monitoring the conversation and intervening as needed by (1) inserting or modifying users’ messages, (2) instructing the user how best to respond, while at the same time (3) initiating an investigation to identify the attacker. (DARPA ASED Program) COMETH (Computational Ethnography from Metaphors and Polarized Language). The objective of this project is to develop a methodology and accompanying software tools for constructing dynamic socio-behavioral models of communities based on online content that their members produce. A community can be defined by the set of salient concepts that its members recognize, along with the values they assign to them. The resulting causal models are then applied to derive culturally biased interpretations of novel information by prototyping the process by which such new information is adapted to fit into the community current model. (DARPA UGB) Social Convos: A New Approach to Modeling Information Diffusion in Social Media. In this project, we recast our understanding of all social media as a landscape of collectives, or “convos”: sets of users connected by a common interest in an (possibly evolving) information artifact, such as a repository in GitHub, a subreddit in Reddit or a group of hashtags in Twitter. Convos are represented by the collections of features that capture their internal social dynamics. Furthermore, convos are basis for modeling large and small internet-based communities as “hybrid organisms” that interact in various ways with one another and react collectively to external stimuli, including information and disinformation campaigns. (DARPA SocialSim)

Tianyi Chen has been with Rensselaer Polytechnic Institute (RPI) as an assistant professor since August 2019. Dr. Chen is the inaugural recipient of IEEE Signal Processing Society Best PhD Dissertation Award in 2020, a recipient of NSF CAREER Award in 2021 and a recipient of Amazon Research Award in 2022. He is also a co-author of the Best Student Paper Award at the NeurIPS Federated Learning Workshop in 2020 and at IEEE ICASSP in 2021. Dr. Chen's current research focuses on theoretical and algorithmic foundations of optimization, machine learning, and statistical signal processing.

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.

Interdisciplinary work is at the core of Susan Smith’s research and educational interests.  Her undergraduate work in Biology serves as a basis for her research in Philosophy of Biology, Philosophy of Race and Biomedical Ethics. Her master’s work at the University of Guelph was completed under the direction of Michael Ruse and focused on the nature of human action with respect to free will and determinism.  At the University at Buffalo, working with Jorge J.E. Garcia, she explored the metaphysical basis of race with a focus on its intersection with healthcare.Dr. Smith’s current work explores the ethical issues related to genetic testing and, specifically, informed consent.  She is also actively investigating the perpetuation of racial disparities in medicine and medical research and solutions for their elimination. Additionally, she continues to explore ethical issues with data privacy and algorithmic bias. Before coming to RPI, Dr. Smith taught at Mercyhurst University, Canisius College, and the University at Buffalo.  She has taught courses in Biomedical Ethics, Research Ethics, Philosophy of Human Nature and Science, Technology and Human Values.  Teaching has been a passion for her since she received her undergraduate degree in Education from the University of Windsor.  Dr. Smith encourages students to critically examine their own beliefs and to attempt to create rational defenses for those beliefs.  Dr. Smith was selected by the graduating class of 2021 as one of four professors at Rensselaer to present a "Last Lecture" as somemone who had a last positive impact on their undergraduate experience. She was the recipient of the 2022 Teaching Excellence Award for the School of Humanities, Arts and Social Sciences at Rensselaer.Prior to her arrival at Rensselaer, Smith was the Director of the Social Science Interdisciplinary Degree Programs at the University at Buffalo and served on the advisory board of the University at Buffalo Genomics, Education and the Microbiome (GEM) Community of Excellence. 

Dunn joined Rensselaer in 2008 as Vice Provost and Dean of Graduate Education and full Professor in the School of Engineering. Dunn’s experience includes developing university-wide initiatives in such areas as packaging engineering, water resource management, and homeland security. He also has extensive experience building academic programs, including overseeing the country’s first engineering-based clinical training program in prosthetics and orthotics. Dunn has mentored 14 Ph.D. students, 23 M.S. students, and many undergraduate students. These students have come from biomedical engineering, electrical and computer engineering, computer science, mathematics, dentistry, as well as the M.D./Ph.D. program. The author of three books and 150 papers on different subjects including digital subtraction radiography, Dunn is a fellow of the American Institute of Medical and Biological Engineering. He is the founding editor-in-chief of the Journal of Applied Packaging Research, and has served as an editor and officer of several journals and professional organizations.

Sibel Adali is a professor at Rensselaer Polytechnic Institute, which she joined in 1996 after obtaining her PhD from the University of Maryland. Her work concentrates on cross-cutting problems related to trust, information processing and retrieval, and social networks. She has worked as the ARL-lead Collaborative Technology Alliance (CTA) wide Trust Coordinator and the Social and Cognitive Networks Academic Research Center (SCNARC) Associate Director. She is the author of the book "Modeling Trust Context in Networks", which was published by Springer in 2013. At Rensselaer, Adali served as the Associate Head and Graduate Program Director of the Computer Science Department 2015-2018. She currently serves as the Associate Dean of Science for Research and Graduate Studies. She teaches the introductory problem solving course in Computer Science as well as courses in databases. In 2015, Adali received the Trustees' Outstanding Teacher Award, the highest teaching award given by Rensselaer Polytechnic Institute.  

Shekhar Garde is the Dean of Engineering and the Elaine S. and Jack S. Parker Chaired Professor at Rensselaer Polytechnic Institute.  He received his bachelor's (University of Bombay, 1992) and PhD (University of Delaware, 1997) degrees in chemical engineering and was a director's fellow at Los Alamos National Labs (1997-1999), before joining Rensselaer in 1999.  His research focuses on understanding the role of water in biological interactions.  He has published over 100 papers (cited 12,000+ times) and presented 135 invited talks at leading universities and conferences. He won the NSF CAREER Award (2001), Rensselaer Early Career Award (2004), and was the 2011 Robert W. Vaughan Lecturer at CalTech. He is a Fellow of the American Institute of Medical and Biological Engineers (2014) and of the American Association for the Advancement of Science (2015). Garde co-leads the award-winning Molecularium Project, which has produced digital dome and IMAX movies and a web-based gaming portal for children. In 2011, Garde was honored with the Explore-Discover-Imagine Award by the Children's Museum of Science and Technology in the Capital District (Albany), NY.

Liu Liu has been with the Department of Electrical, Computer, and Systems Engineering at Rensselaer Polytechnic Institute (RPI) as an assistant professor since July 2022. He has a Ph.D. in Computer Science at University of California, Santa Barbara. His research interests reside in the intersection between computer architecture and machine learning, towards high-performance, energy-efficient, and robust machine intelligence. He leads the research on Elastic Processing & Hardware Architectures, with publications in top-tier conferences on machine learning and computer architecture (e.g., ICML, ICLR, MICRO, and ASPLOS). He earned an M.S. in Electrical and Computer Engineering from UC Santa Barbara in 2015. He is a recipient of the Peter J Frenkel Fellowship from the Institute of Energy Efficiency at UCSB.

Lirong Xia is an assistant professor in the Department of Computer Science at Rensselaer Polytechnic Institute (RPI). Prior to joining RPI in 2013, he was a CRCS fellow and NSF CI Fellow at the Center for Research on Computation and Society at Harvard University. He received his PhD in Computer Science and MA in Economics from Duke University. His research focuses on the intersection of computer science and microeconomics, in particular computational social choice, game theory, mechanism design, and prediction markets. He is an associate editor of Mathematical Social Sciences and is on the editorial board of Journal of Artificial Intelligence Research. He is the recipient of an NSF CAREER award, a Simons-Berkeley Research Fellowship, and was named as one of "AI's 10 to watch 2015" by IEEE Intelligent Systems.

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!