CS Colloquium Speaker: Alexandra Ion, Monday, Oct 27 at 12:10pm
CS Colloquium Speaker Speaker: Alexandra Ion, Carnegie Mellon University Date: Monday, October 27 Time: 12:10pm EST Location: CS 105 Host: Parastoo Abtahi Event page: [ https://www.cs.princeton.edu/events/human-centered-physical-ai | https://www.cs.princeton.edu/events/human-centered-physical-ai ] Register for live-stream online here: [ https://princeton.zoom.us/webinar/register/WN_q7rNj3QZQ7q3Uf5aSYB4Dw | https://princeton.zoom.us/webinar/register/WN_q7rNj3QZQ7q3Uf5aSYB4Dw ] Title: Human-centered Physical AI Abstract: The world around us is inherently physical, yet adaptive interfaces focus mostly on digital content and representations. Physical AI is moving in the right direction by creating models that can understand instructions and perform physical tasks in the real world, typically with humanoid or quadrupedal robots as physical AI agents. In this talk, I envision a future where such physical AI agents move into the background—instead of interacting with large general-purpose robots, we should interact with physical objects that are familiar to us. I call this *Unobtrusive Physical AI*. Bottles, desks, chairs, walls; any object surrounding us should dynamically adapt to our needs, by not only adjusting their user interfaces to fit the context but also by transforming their physical features, material properties, and affordances to instantly become exactly what users need in that moment. I will discuss how creating such intelligent agents requires two main components: (1) adaptive physical architectures to facilitate physical change, e.g., through metamaterials, shape-changing interfaces, soft robotics, etc., and (2) sensing and prediction systems to understand when and what functionality users require. With new approaches in predictive user modeling and innovations in manufacturing and material science, the time might just be ripe to make this challenging vision a reality. Bio: I am an Assistant Professor at the Human-Computer Interaction Institute at Carnegie Mellon University's School of Computer Science. I direct the Interactive Structures Lab, where we investigate and develop physical interfaces that adapt to users' needs. My lab’s work is published at and awarded by top-tier HCI (ACM CHI & UIST) and graphics venues (ACM SIGGRAPH) and has been recognized with the prestigious NSF CAREER award. It was showcased in multiple exhibitions, including a permanent exhibition at the Ars Electronica Center in Austria. Our work also captured the interest of media such as Wired, Dezeen, Fast Company, Gizmodo, etc., and presented at TEDx. Before joining CMU, I was a postdoctoral researcher at ETH Zurich in Computer Graphics and completed my PhD in HCI at the Hasso Plattner Institute, a small, highly selective, top-tier institute for computer science in Germany.
CS Colloquium Speaker CS Colloquium Speaker Speaker: R. Iris Bahar, Colorado School of Mines Date: Friday, November 7 Time: 12:10pm EST Location: CS 402 Host: Margaret Martonosi Event page: [ https://www.cs.princeton.edu/events/robots-are-coming-teaching-interdiscipli... | https://www.cs.princeton.edu/events/robots-are-coming-teaching-interdiscipli... ] Title: The Robots Are Coming: Teaching Interdisciplinary and Inclusive Courses to Engineers (and Beyond) Abstract: Art, design, computing, and discipline-specific engineering principles are often taught in a siloed fashion. This approach leaves students with a missed opportunity to work together in interdisciplinary teams and learn valuable skills from one another. This talk will lay out my journey to design and teach more interdisciplinary and inclusive courses, to engineers, computer scientists, and beyond. In one of my courses, The Robots Are Coming! The Robots Are Coming! I illustrate the power of multidisciplinary study and the beauty of collaboration among students. The course had students augment existing artistic robots and design new dynamic interactive creations, allowing them to gain hands-on understanding of fundamental principles in engineering, computing, design, and collaboration and encouraging them to explore issues regarding spirit, technology, ethics, and sustainability along the way. My talk concludes with some thoughts on the future of STEM education and how courses may be made more inclusive, collaborative, and engaging. Bio: R. Iris Bahar received the B.S. and M.S. degrees in computer engineering from the University of Illinois, Urbana-Champaign, and the Ph.D. degree in electrical and computer engineering from the University of Colorado, Boulder. She is a faculty member in the Computer Science Department at the Colorado School of Mines, where she currently serves as their Department Head. Before joining Mines, she was on the faculty at Brown University for 26 years and held dual appointments as Professor of Engineering and Professor of Computer Science. Her research interests focus on energy-efficient and reliable computing, from the system level to device level. Most recently this includes the design of robotics systems. She is the 2019 recipient of the Marie R. Pistilli Women in Engineering Achievement Award and the Brown University School of Engineering Award for Excellence in Teaching in Engineering. More recently, she is the recipient of the 2022 University of Illinois ECE Department Distinguished Alumni Award and the 2024 IEEE Field Medal in Undergraduate Teaching. Iris is an IEEE fellow and an ACM Distinguished Scientist.
CS Colloquium Speaker CS Colloquium Speaker Speaker: R. Iris Bahar, Colorado School of Mines Date: Friday, November 7 Time: 12:10pm EST Location: CS 402 Host: Margaret Martonosi Event page: [ https://www.cs.princeton.edu/events/robots-are-coming-teaching-interdiscipli... | https://www.cs.princeton.edu/events/robots-are-coming-teaching-interdiscipli... ] Title: The Robots Are Coming: Teaching Interdisciplinary and Inclusive Courses to Engineers (and Beyond) Abstract: Art, design, computing, and discipline-specific engineering principles are often taught in a siloed fashion. This approach leaves students with a missed opportunity to work together in interdisciplinary teams and learn valuable skills from one another. This talk will lay out my journey to design and teach more interdisciplinary and inclusive courses, to engineers, computer scientists, and beyond. In one of my courses, The Robots Are Coming! The Robots Are Coming! I illustrate the power of multidisciplinary study and the beauty of collaboration among students. The course had students augment existing artistic robots and design new dynamic interactive creations, allowing them to gain hands-on understanding of fundamental principles in engineering, computing, design, and collaboration and encouraging them to explore issues regarding spirit, technology, ethics, and sustainability along the way. My talk concludes with some thoughts on the future of STEM education and how courses may be made more inclusive, collaborative, and engaging. Bio: R. Iris Bahar received the B.S. and M.S. degrees in computer engineering from the University of Illinois, Urbana-Champaign, and the Ph.D. degree in electrical and computer engineering from the University of Colorado, Boulder. She is a faculty member in the Computer Science Department at the Colorado School of Mines, where she currently serves as their Department Head. Before joining Mines, she was on the faculty at Brown University for 26 years and held dual appointments as Professor of Engineering and Professor of Computer Science. Her research interests focus on energy-efficient and reliable computing, from the system level to device level. Most recently this includes the design of robotics systems. She is the 2019 recipient of the Marie R. Pistilli Women in Engineering Achievement Award and the Brown University School of Engineering Award for Excellence in Teaching in Engineering. More recently, she is the recipient of the 2022 University of Illinois ECE Department Distinguished Alumni Award and the 2024 IEEE Field Medal in Undergraduate Teaching. Iris is an IEEE fellow and an ACM Distinguished Scientist.
participants (1)
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Emily C. Lawrence