Join Our Research Team

We are seeking highly motivated PhD students to join our research group at Tufts University starting in Spring 2026 or Fall 2026. Two positions are available:

  1. Hardware Architecture / VLSI / Hardware Security - Research will focus on novel accelerator design, hardware-software co-design, and secure computing. Background in silicon photonics is a plus.
  2. Trusted AI and AI/ML for Healthcare - Research will focus on advancing trusted and responsible AI including security and privacy, or machine learning for healthcare applications. Prior publication in top-tier conferences is a strong plus.

To apply, please visit this link. Feel free to reach out to me (yingjie.lao@tufts.edu) if you are interested!

Contact Us

Our Research in Action

Latest News

  • [01/2024] One paper is accepted by IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 
  • [01/2024] Our group has moved to Tufts University.
  • [12/2023] Azi successfully defended her Ph.D. thesis. Congratulations Dr. Famili!
  • [12/2023] One paper is accepted by IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.
  • [12/2023] One paper is accepted by AAAI 2024.
  • [11/2023] One paper is accepted by IEEE Transactions on Information Forensics and Security (TIFS).
  • [10/2023] One paper is accepted by BigData 2023.
  • [10/2023] One paper is accepted by IEEE International Automated Vehicle Validation Conference (IAVVC).
  • [09/2023] One paper is invited by Sensors.
  • [08/2023] Our project 'Efficient, Cybersecure and Safe EV Operations in the Clemson Smart City Testbed' is funded by Innova EV and South Carolina Research Authority. Yingjie is the PI.
  • [07/2023] One paper is accepted by International Conference on Computer-Aided Design (ICCAD).
  • [05/2023] One paper is accepted by 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2023).
  • [05/2023] Yingjie has been promoted to Associate Professor with Tenure.
  • [05/2023] Our project 'Towards Secure and Trustworthy Tree Models' is funded by NSF. Yingjie is the PI.
  • [04/2023] Joseph successfully defended his Ph.D. thesis. Congratulations Dr. Clements!
  • [04/2023] Quinn successfully defended his M.S. thesis. Congratulations!
  • [03/2023] Our project 'Efficient and Scalable Privacy-Preserving Neural Network Inference based on Ciphertext-Ciphertext Fully Homomorphic Encryption' is funded by NSF. Yingjie is the lead PI.
  • [03/2023] One paper is accepted by IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.
  • [02/2023] One paper is accepted by IEEE Transactions on Computers.
  • [02/2023] Our center project 'National University Transportation Center: TraCR' is funded by USDOT. Yingjie is a co-PI.