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Bio: Dr. Fatemeh Davoudi is an Associate Professor of Mechanical Engineering and, by courtesy, Electrical & Computer Engineering at Santa Clara University, where she directs the Machine Learning and Safety Analytics Lab. Her research advances human-centered automation in smart manufacturing, focusing on safety analytics, wearable sensing, and intelligent systems. Dr. Davoudi’s interdisciplinary work integrates machine learning, wearable technologies, physical and neuroergonomics, and human factors to support safer, more adaptive manufacturing environments.
Bio: Dr. Sean Banerjee is the LexisNexis Endowed Co-Chair for Advanced Data Science and Engineering and Associate Professor in the Department of Computer Science and Engineering at Wright State University in Dayton, Ohio. He is co-founder and co-director of the Terascale All-Sensing Research Studio (TARS). He performs research at the intersection of human-computer interaction and artificial intelligence (AI). His research interests are on using human behavior data collected using multiview multimodal sensing systems in real and virtual environments to contribute artificial intelligence (AI) algorithms that show awareness of the nuances of everyday human-human and human-object interactions for VR security, immersive learning environments, assistive robotics, and healthcare. Dr. Banerjee's research has been internationally recognized with multiple paper awards. He has received over $5M in funding, with his share as PI/co-PI in external funding exceeding $1.6M. From 2015 to 2024 he was Assistant and Associate Professor in the Department of Computer Science at Clarkson University. From 2014 to 2015 he was a Postdoctoral Research Associate at the Robotics Institute at Carnegie Mellon University. He received his Ph.D., MS, and BS degrees from the Department of Computer Science and Electrical Engineering at West Virginia University.
Bio: Paul McClure is an Associate Professor of Sociology at the University of Lynchburg in central Virginia. He holds a B.A. in Philosophy from Washington and Lee University, an M.A. in Theological Studies from Regent College, and an M.A. and Ph.D. in Sociology from Baylor University. Dr. McClure's primary area of research involves the cultural and social impact of digital technologies, and his work has been published in various journals including Social Science Computer Review, Poetics, Journal for the Scientific Study of Religion, The Sociological Quarterly, and others.
Bio: Natasha Kholgade Banerjee is the LexisNexis Endowed Co-Chair for Advanced Data Science and Engineering and Associate Professor in the Department of Computer Science & Engineering at Wright State University in Dayton, Ohio, USA. She is co-founder and co-director of the Terascale All-sensing Research Studio (TARS, https://tars-home.github.io/). She performs research at the intersection of computer graphics, computer vision, and machine learning. Her research uses large-scale multimodal multi-viewpoint data to contribute artificial intelligence (AI) algorithms imbibed with comprehensive awareness of how humans interact with objects in everyday environments. Her work addresses data-driven object repair, model generation, and assembly, human-robot handover informed by multi-person interactions, and AI-driven detection of need for assistance from multimodal data on human-object interactions. She received her Ph.D. in 2015 from the Robotics Institute at Carnegie Mellon University, and her BS and MS degrees in 2009 from the Department of Computer Engineering at Rochester Institute of Technology. Prior to Wright State, she was Assistant Professor, and later Associate Professor, of Computer Science at Clarkson University between 2015 and 2024. Her work has been published at prestigious venues such as ICRA, CVPR, NeurIPS, ECCV, IEEE RO-MAN, and SIGGRAPH Asia, and has received multiple awards at venues such as IEEE AIxVR, ACM/IEEE CHASE, IEEE VR, SIGMAP, IEEE MMM, and IEEE MMSP. Her research is supported by multiple grants from agencies such as NSF, NIST, and the De Luca Foundation.
Bio: Dr. Ashutosh Shivakumar is an Assistant Professor at the Department of Computer Science and Engineering at Wright State University, Dayton, Ohio. He has over 5 years of interdisciplinary research experience in Human-Centered Computing (HCC) and Human-Machine Teaming (HMT). His work focuses on design and development of mobile-cloud computing based software applications that leverage natural language processing and machine learning to facilitate and enhance human-human collaboration and human-machine collaboration in spoken-language based communication tasks. Examples of his work include design and development of distributed interruption management systems to minimize disruptiveness of interruptions in collaborative communication tasks, dialogue assessment and training systems to enhance healthcare provider-client collaboration for client behavior modification and development of learner-centered training tools to promote language acquisition among dual language learners. Currently, at the Terascale All-sensing Research Studio (TARS), Wright State University, Dr. Shivakumar’s research focuses on leveraging Extending reality (XR) based technologies, biomedical sensors, principles in social VR and human-machine teaming to design virtual simulations that optimize human performance assessment in areas such as healthcare delivery and pedagogy.
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