Vu Le

I'm a first year Computer Science PhD student in the University of Massachusetts Amherst (UMass), advised by VP Nguyen . I'm also working at Berkeley Lab on qubits readout and state discrimination for super conducting qubits readouts and measurements.

My research focuses on leveraging machine learning to study readout fidelity, mid-circuit measurement and state discrimination while exploring efficient computer architectures for improved scalability and performance. I am also deeply interested in quantum machine learning, particularly in quantum neural networks

My CV will be available upon request.

Contact:
  • Personal email: vule20.cs AT gmail [DOT] com
  • UMass email: vdle AT cs.umass [DOT] edu
  • Berkeley Lab email: vule AT lbl [DOT] gov

Scholar  /  Github  /  LinkedIn  /  Blogs

Vu Le - Profile Photo

News

  • 05/2025: One paper is accepted at ACM QSys 2025 .
  • 03/2025: One paper is accepted at ACM MobiSys 2025 .
  • 02/2025: I’m honored to receive the James Kurose scholarship in Computer Science.
  • 12/2024: I officially become a research affiliate with Berkeley Lab.
  • 09/2024: My new academic website with the vule.us domain is live now.
  • 09/2024: One paper accepted at ACM SenSys 2024.
  • 09/2024: I joined University of Massachusetts Amherst, USA as a PhD student.
  • 01-04/2024: I received multiple offers for my CS PhD in the USA.
  • 10/2023: One paper accepted at IEEE/CVF WACV.
  • 06/2022: I graduated from Vietnam National University, Hanoi.

Selected Research

I'm interested in quantum computing, computer architecture, deep learning, and scalable networked systems. Most of my research is about computer systems, systems and computer vision applications. Some papers are highlighted.

blind-date Computing Systems for Superconducting Qubits: Challenges and Opportunities
Vu Le, Neel Vora, Devanshu Brahmbhatt, Yilun Xu, Gang Huang, Phuc Nguyen
ACM QSys 2025   (in conjunction with ACM MobiSys 2025)
paper

An overview of quantum control systems for superconducting qubits, highlighting the importance of precise control for fault-tolerant quantum computing. This work emphasizes the advantages of open-source platforms and outlines key research directions, including scalable control, high-precision readout, and leakage suppression.

blind-date Detection and Tracking of Drone Swarms using LiDAR
Tasnim Azad Abir, Vu Le, Endrowednes Kuantama, Pranjol Sen Gupta, Austin Copley, Judith Dawes, Mohammad Islam, Richard Han, Phuc Nguyen
ACM MobiSys 2025,   (A* conference)
paper

LiSWARM is a low-cost LiDAR system for accurate 3D tracking and recognition of drones in large swarms. Using point cloud processing, clustering, and neural networks, it achieves up to 98% accuracy and scales to 15,000 drones—enabling applications in airspace security, drone shows, and sensitive area monitoring.

blind-date MagicStream: Bandwidth-conserving Immersive Telepresence via Semantic Communication
Ruizhi Cheng, Nan Wu, Vu Le, Eugene Chai, Matteo Varvello , Bo Han
ACM SenSys 2024,   (A* conference)
project page  /  paper

MagicStream, a first-of-its-kind semantic-driven immersive telepresence system that effectively extracts and delivers compact semantic details of captured 3D representation of users, instead of traditional bit-by-bit communication of raw content.

blind-date Fast and Interpretable Face Identification for Out-Of-Distribution Data Using Vision Transformers
Hai Phan, Cindy Le, Vu Le, Yihui He, Anh Totti Nguyen
CVF/WACV 2024   (A conference)
project page  /  paper  /  code  /  poster  /  presentation

Using vision transformers for out-of-distribution data face identification, runs twice faster while achieving comparable performance with the state of the art DeepFace-EMD model.

Miscellanea

Apart from being a researcher, I'm also an experienced software and devops engineer. I enjoy building scalable backend systems that can handle large traffics.

Web Traffic

Thanks Jon Barron for the website template.