Hull joined RPI in January 2008 to assume the positions of the Head of the Materials Science and Engineering Department and the Henry Burlage Professor of Engineering. Prior to that he spent about a decade at Bell Laboratories in the Physics Research Division, and twelve years at the University of Virginia, where he was the Director of an NSF MRSEC Center and Director of the UVA Institute for Nanoscale and Quantum Science. He received his PhD in Materials Science from Oxford University in 1983. Hull is highly active in engineering and materials science societies and professional groups. He is a fellow of the American Physical Society and of the Materials Research Society, and in 1997 served as president of the Materials Research Society. He has also chaired a Gordon Research Conference on Thin Films, and chaired the Committee of Visitors for the National Science Foundation’s Division of Materials Research. Within the realms of materials and nanoscience, Hull’s research focuses on the relationships between structure and property in electronic materials, fundamental mechanisms of thin film growth, and the self-assembly of nanoscale structures. Other areas of interest include degradation modes in electronic and optoelectronic devices, the properties of dislocations in semiconductors, nanoscale fabrication techniques, nanoscale tomographic reconstruction techniques, development of new nanoelectronic architectures, and the theory and application of electron and ion beams.  

Dr. Relyea completed his PhD at the University of Michigan in 1999 and spent the next 15 years as a professor at the University of Pittsburgh. In 2014, he moved to Rensselaer to become the Director of the Darrin Fresh Water Institute and the Director of The Jefferson Project at Lake George. In July 2022, he stepped down from being a director to go on a sabbatical. Complete list of published journal articles Complete list of published textbooks

Shaowu Pan is an Assistant Professor in the Department of Mechanical, Aerospace and Nuclear Engineering at Rensselaer Polytechnic Institute (RPI). He leads the Computational Scientific Machine Learning Lab and is affiliated with the Rensselaer–IBM Artificial Intelligence Research Collaboration. Pan received his B.E. in Aerospace Engineering and B.S. in Applied Mathematics from Beihang University (2013), and his M.S. and Ph.D. in Aerospace Engineering and Scientific Computing from the University of Michigan (2021). Prior to joining RPI, he was a postdoctoral scholar at the AI Institute in Dynamic Systems at the University of Washington.  His research focuses on (1) AI for Science;(2) Generative AI for accelerating large-scale numerical simulations of fluid flows;(3) Agentic AI for automating scientific discovery workflows.

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.

Dr. Magdon-Ismail has been a Professor of Computer Science since 2000. After degrees at Yale and Caltech, Dr. Magdon-Ismail was a research scholar at Caltech before joining Rensselaer as Assistant Professor of Computer Science. His interests are in decision making from data in complex systems, including machine learning, computational finance networked systems and quantum computing. He enjoys poker, bridge, squash, tennis and badminton. For more details, please visit his web page.

Lydia Manikonda is an Assistant Professor in the Lally School of Management. Her research interests lie in developing robust, goal-centric intelligent models that are capable of learning and reasoning with complex, real-world data drawn from the Web. In particular, how these models can be used to address critical challenges in user privacy, public health (including addictions, dietetics, and maternal health), and finance (with an emphasis on crowdfunding). Within this broader scope, she also is studying how #generativeAI is actively shaping user behavior online. The rise of #genAI systems has introduced new privacy concerns, altered patterns of interactions both online and offline, and its impact on mental health. Understanding and integrating these behavioral, ethical, and psychological dimensions into metacognitive tasks is a central aspect of her work, ensuring that frameworks remain both effective and adaptable in dynamic environments. Methodologically, her research tackles challenges associated with handling unstructured and messy data (especially, natural language text), and integrating diverse sources of information. So far, her research work has received several media mentions, a best SPC and reviewer awards at AAAI ICWSM 2025 and 2016 respectively and an outstanding demonstration award at AAAI ICAPS 2014. Lydia received her PhD in Computer Science from Arizona State University in 2019 and MS (by Thesis) and B.Tech both in Computer Science and Engineering from IIIT-Hyderabad. More information about her research and publications can be found here: website (https://lmanikon.github.io/) or Google Scholar (https://scholar.google.com/citations?user=xB5PgNgAAAAJ)

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.

Mei Si is primarily interested in is artificial intelligence and its application in virtual and mixed realities. In particular, her research concentrates on computer-aided interactive narratives, embodied conversational agents and pervasive user interface, elements that make virtual environments more engaging and effective. Si has been using her research to develop virtual environments and intelligent conversational agents for serious games. In one example of her work, Si helped to develop the Tactical Language Training System, a large-scale (six to twelve scenes each for three languages) award-winning project funded by the U.S. military for rapid language and culture training. The system has been used by thousands of military personnel. “Computer-aided interactive narrative is a new form of media that allows the user to play a role in a story and interact with other characters controlled by an automated system. The user’s choices of actions affect the development of the story,” said Si. Narrative itself is a central part of the human experience. Its power to shape people's minds and affect people's behavior has been recognized throughout recorded history. The support for user interactivity distinguishes interactive narrative from other narrative forms. By allowing the user to interact, the experience is richer and potentially more engaging. Moreover, interactivity can promote intrinsic motivation in learning, and support learning in context and replay. Therefore, interactive narrative can be potentially a more effective media than traditional narrative.” Si regularly presents and publishes her work. She has recently presented on “Activating Narcissus: Cognitive and Affective Systems Transformed Through "Serious" Game Play” at the International Conference on the Philosophy of Computer Games; “Foreign language learning in immersive virtual environments” at the IS&T/SPIE Electronic Imaging conference, and “Modeling Rich Characters in Interactive Narrative Games” and GAMEON-ASIA. Her recently published work includes “D.V. Modeling Appraisal in Theory of Mind Reasoning” in the Journal of Agents and Multi-Agent Systems, and book chapters “ Virtual Interactive Interventions for Reducing Risky Sex: Adaptations, Integrations, and Innovations” in  Interactive Health Communication Technologies: Promising Strategies for Health Behavior, and “Modeling Theory of Mind and Cognitive Appraisal with Decision-Theoretic Agents” in Social emotions in nature and artifact: Emotions in human and human-computer interaction.

Marjorie McShane develops cognitive models of intelligent agents that can collaborate with people in task-oriented, dialog applications. While at heart a linguist, she is particularly interested in the integration of functionalities that are often treated in isolation, such as physiological simulation, emotion modeling, and the many aspects of cognition. One aspect of cognition to which she has devoted particular attention is natural language processing, approached from a cross-linguistic perspective and with the goal of producing machine-tractable descriptions that can support sophisticated conversational agents. She has also worked extensively on cognitive modeling in the medical domain, to support the configuration of intelligent agents playing the roles of virtual patients and tutors in training applications such as the Maryland Virtual Patient system.McShane has (co-)authored four books: Agents in the Long Game of AI: Computational cognitive modeling for trustworthy, hybrid AI (MIT Press, 2024), Linguistics for the Age of AI (MIT Press, 2021), A Theory of Ellipsis (Oxford University Press, 2005), and An Innovative, Practical Approach to Polish Inflection (Lincom Europa, 2003). She has published extensively on linguistics, natural language processing, cognitive modeling, and knowledge representation.