Seminar
Swarming nanobots for cancer applications
Event Location: NSH 1507Bio: I am a swarm engineer interested in designing large collective systems that self-organize. Swarm strategies are either inspired from nature (ant colonies and bird flocks) or are automatically designed in simulation using machine learning and crowdsourcing. Demonstrated applications include designing swarming nanoparticles for cancer treatment and deploying large aerial swarms for [...]
The human side of computer vision
Event Location: NSH 1507Bio: Olga Russakovsky (http://cs.cmu.edu/~orussako) is a postdoctoral research fellow at Carnegie Mellon University. She recently completed a PhD in computer science at Stanford advised by Prof. Fei-Fei Li. Her research is in computer vision, closely integrated with machine learning and human-computer interaction. She led the ImageNet Large Scale Visual Recognition Challenge effort [...]
Algorithms and challenges in scaling up autonomous flight
Event Location: NSH 1305Bio: Adam Bry is co-founder and CEO of Skydio, a venture backed drone startup based in the bay area. Prior to Skydio he helped start Project Wing at Google[x] where he worked on the flight algorithms and software. He holds a SM in Aero/Astro from MIT and a BS in Mechanical Engineering [...]
Brighter, Faster, Cheaper: Finding or Creating Light Fields for Visual Computing
Event Location: NSH 1507Bio: Robert Pless is a Professor of Computer Science and Engineering at Washington University in St. Louis, where he founded and directs the Media and Machines Lab. His research focus are big-data and geometric approaches to Visual Computing, with applications to social justice and environmental measurement. Dr. Pless has a Bachelors Degree [...]
Learning Models for Robot Decision Making
Event Location: NSH 1305Bio: Thomas Howard is an assistant professor in the Department of Electrical and Computer Engineering and the Department of Computer Science. He is also a member of the Institute for Data Science and holds a secondary appointment in the Department of Biomedical Engineering. Previously he held appointments as a research scientist and [...]
Collective Insight: Crowd-driven Image Understanding
Event Location: NSH 1507Bio: Genevieve is a PhD Candidate in Computer Vision at Brown University. Her work on crowd-driven visual classification was recently awarded runner-up for Best Paper at the AAAI Conference on Human Computation (HCOMP). She built and maintains the SUN Attribute dataset, a widely used resource for scene understanding. Genevieve received her master's [...]
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Exploiting the Environment to Improve Autonomy: Robots in Geophysical Flows
Event Location: NSH 1305Bio: M. Ani Hsieh is an Associate Professor in the Mechanical Engineering & Mechanics Department at Drexel University. She received a B.S. in Engineering and B.A. in Economics from Swarthmore College in 1999 and a PhD in Mechanical Engineering from the University of Pennsylvania in 2007. Her current work focuses on developing [...]
Towards A Physical and Human-Centric Understanding of Images
Event Location: Newell Simon Hall 1507Bio: David Fouhey is a Ph.D. student at the Robotics Institute of Carnegie Mellon University, where he is advised by Abhinav Gupta and Martial Hebert. His research interests include computer vision and machine learning with a particular focus on scene understanding. David's work has been supported by both NSF and [...]