Dorsa Sadigh

Dorsa Sadigh is an assistant professor in computer science and electrical engineering at Stanford University. Her research interests lie in the intersection of robotics, learning and control theory, and algorithmic human-robot interaction. Specifically, she works on developing efficient algorithms for autonomous systems that safely and reliably interact with people. She received her bachelor’s degree in electrical engineering and computer sciences (EECS) at the University of California, Berkeley, in 2012 and her doctoral degree in EECS at UC Berkeley, in 2017. She is a recipient of the Amazon Faculty Research Award and National Science Foundation (NSF) and National Defense Science and Engineering Graduate (NDSEG) research fellowships as well as the Leon O. Chua Award at UC Berkeley.

Academic Appointments

• Assistant Professor, Computer Science
• Assistant Professor, Electrical Engineering
• Faculty Affiliate, Institute for Human-Centered Artificial Intelligence (HAI)

Program Affiliations

• Stanford SystemX Alliance

Stanford Advisees

Doctoral Dissertation Reader (AC) Raunak Bhattacharyya, Chien-yi Chang, Kevin Chen, Shushman Choudhury, Anthony Corso, Kuan Fang, Boris Ivanovic, Mark Koren, Rachel Luo, Ajay Mandlekar, Mehrad Moradshahi, Steve Mussmann, Vivian Patterson, Fei Xia

Orals Evaluator Raunak Bhattacharyya, Anthony Corso

Doctoral Dissertation Advisor (AC) Erdem Biyik

Master's Program Advisor Khalid Ahmad, Yen-Yu Chang, Polo Contreras, Christina Ding, Zhiling Huang, Philip Hwang, Lydia Hylton, Minju Kim, Tony Kim, Kendrick Shen, Gleb Shevchuk, Danny Takeuchi, Kevin Wang, Cassie Zhang, Peter Zhang

Doctoral Dissertation Co-Advisor (AC) Julia Belk, Hong Jun Jeon, Nick Landolfi

Doctoral (Program) Zhangjie Cao, Julia Costacurta, Siddharth Karamcheti, Mengxi Li, Ali Mottaghi, Andy Palan, Andy Shih

Publications

Verifying Robustness of Human-Aware Autonomous Cars Sadigh, D., Sastry, S., Seshia, S. A. ELSEVIER SCIENCE BV. 2019: 131–38

Planning for cars that coordinate with people: leveraging effects on human actions for planning and active information gathering over human internal state Sadigh, D., Landolfi, N., Sastry, S. S., Seshia, S. A., Dragan, A. D. SPRINGER. 2018: 1405–26

Multi-Agent Generative Adversarial Imitation Learning Song, J., Ren, H., Sadigh, D., Ermon, S., Bengio, S., Wallach, H., Larochelle, H., Grauman, K., CesaBianchi, N., Garnett, R. NEURAL INFORMATION PROCESSING SYSTEMS (NIPS). 2018

Maximizing Road Capacity Using Cars that Influence People Lazar, D. A., Chandrasekher, K., Pedarsani, R., Sadigh, D., IEEE IEEE. 2018: 1801–8