Pooyan Fazli
Assistant Professor

School of Arts, Media, and Engineering (AME)

Media and Immersive eXperience (MIX) Center

Arizona State University

 

150 N. Centennial Way, 345F

Mesa, AZ 85201


Pooyan Fazli is an assistant professor and the director of the People and Robots Laboratory (PeRL) in the School of Arts, Media, and Engineering (AME) and the Media and Immersive eXperience (MIX) Center at Arizona State University. He received his Ph.D. in computer science from the University of British Columbia. Previously, he was a postdoctoral fellow in the CORAL Research Group at Carnegie Mellon University and in the Laboratory for Computational Intelligence at the University of British Columbia.

Center Affiliations 

I am affiliated with the Center for Human, Artificial Intelligence, and Robot Teaming (CHART).

Graduate Faculty 

Computer Science, Robotics and Autonomous Systems, and Media Arts and Sciences

Research Interests 

Artificial Intelligence, Autonomous Robots, Multi-Robot Systems, Human-Robot Teaming, Robot Learning, Vision and Language, Multimodal Learning, Video Understanding

Schedule 

Please check my calendar before proposing a meeting time.

Prospective Postdocs, Students, Visitors, and Interns 

If you are interested in a position in our lab, please fill out this form.

Sponsors 

My work is generously supported by the National Science Foundation (NSF), National Institute of Health (NIH), Google, Amazon, Ability Central Foundation, and ASU.

News


10/2024           HIRBI Grant ($10,000)
10/2024           PIT-UN Grant ($25,000)
04/2024           We launched ViDScribe, a platform to empower blind and low vision users by providing AI-generated audio descriptions.
03/2024           Paper accepted at NAACL 2024
11/2023           Featured in ASU News
10/2023           Paper accepted at ICSR 2023
09/2023           Our work on video accessibility was featured on ABC 15.
07/2023           NIH R01 grant (~$3.2M) on automated video description for blind and low vision users. The project is a collaboration with the University of Rochester, University of California, Santa Cruz, Columbia University, and Vista Center for the Blind and Visually Impaired.
06/2023           ASU CHART grant ($10,012) on superhuman performance in autonomous robot teaming applications (SPARTA)
11/2022           Paper accepted at the ACM Transactions on Human-Robot Interaction (THRI)
08/2022           NSF grant ($94,997, Grand Total: $599,974) to develop an edge-based approach to robust multi-robot systems in dynamic environments
04/2022           ASEE CyBR-MSI grant ($10,000)
02/2022           Our work on democratizing AI was featured on Google TensorFlow's blog.
11/2021           Grant award ($6,500) from Google TensorFlow on learning responsible AI for social impact
10/2021           RSCA grant ($17,885) on safe and resilient autonomous navigation for service robots
08/2021           exploreCSR award ($32,000) from Google Research on democratizing AI and promoting AI fairness, accountability, transparency, and ethics: https://democratizeai.org/
05/2021           I am a Faculty in Residence at Google in Mountain View, CA.
01/2021           Grant award ($20,000) from Amazon on human-aware robot navigation in indoor environments
10/2020           I am a visiting faculty in the Department of Computer Science at the University of Copenhagen.
11/2020           Grant award ($99,948) from the Ability Central Foundation on video accessibility for blind and low vision individuals
08/2020           NSF grant ($999,987) to promote diversity in the AI workforce and encourage students from underrepresented groups to pursue research and careers in AI
08/2020           NSF grant ($749,304) to develop safe and secure autonomous robots
12/2019           Grant award ($102,500) from the Ability Central Foundation on video accessibility for blind and low vision individuals
04/2019           Speaker and spanelist in the Deep Humanities and Arts Symposium in San Jose, CA
02/2019           Grant award ($6,000) from the Center for Computing in Life Sciences on learning to navigate like humans
12/2018           Our paper titled "Online Learning of Human Navigational Intentions" was a finalist for the Best Paper Award at ICSR 2018.
12/2018           Our paper titled "Predicting the Target in Human-Robot Manipulation Tasks" was a finalist for the Best Interactive Paper Award at ICSR 2018.