Tara Boroushaki

Tara Boroushaki

Website:

Personal Website
Assistant Professor of Electrical & Computer Engineering
Mailing Address:
P.O. Box 208267
New Haven, CT 06520
Email: tarab@mit.edu
Degrees:
  • Ph.D., Massachusetts Institute of Technology, May 2025
  • M.S., Massachusetts Institute of Technology

Interests:

My research interests lie in sensing and mobile technologies with applications in wireless networking, wireless sensing, cyber-physical systems (including robotics), and cyber-human systems. I develop algorithms and build systems for multi-modal sensing to connect, perceive, and interact with the environment in novel ways to enable more efficient, robust, and capable mobile, cyber-physical, and cyber-human systems.

Selected Awards & Honors:

  • Marconi Society Young Scholar Award, 2024
  • N2WOMEN: Rising Stars in Networking & Communications, 2024
  • EECS Rising Stars, 2023
  • Microsoft Research PhD Fellow, 2022-2024
  • IEEE RFID '23 Best Paper Award, 2023
  • RFusion in "103 Ways MIT is Making the World Better", 2022
  • ACM SenSys '21 Best Paper Award Finalist, 2021

Selected Publications:

Next-Generation Mixed Reality Perception:

  • Boroushaki, Tara, Maisy Lam, Laura Dodds, Aline Eid, and Fadel Adib. "Augmenting Augmented Reality with Non-Line-of-Sight Perception." In 20th USENIX Symposium on Networked Systems Design and Implementation (NSDI 23), pp. 1341-1358. 2023.
  • Boroushaki, Tara, Maisy Lam, Weitung Chen, Laura Dodds, Aline Eid, and Fadel Adib. "Exploiting Synergies between Augmented Reality and RFIDs for Item Localization and Retrieval." In 2023 IEEE International Conference on RFID (RFID), pp. 30-35. IEEE, 2023.

Robotics Perception:

  • Boroushaki, Tara, Laura Dodds, Nazish Naeem, and Fadel Adib. "Fusebot: RF-visual mechanical search." Robotics: Science and Systems 2022 (2022).
  • Boroushaki, Tara, Isaac Perper, Mergen Nachin, Alberto Rodriguez, and Fadel Adib. "Rfusion: Robotic grasping via rf-visual sensing and learning." In Proceedings of the 19th ACM conference on embedded networked sensor systems, pp. 192-205. 2021.
  • Boroushaki, Tara, Junshan Leng, Ian Clester, Alberto Rodriguez, and Fadel Adib. "Robotic grasping of fully-occluded objects using rf perception." In 2021 IEEE International Conference on Robotics and Automation (ICRA), pp. 923-929. IEEE, 2021.