Bang Tran

Assistant Professor of Computer Science


Benz Tran is an Assistant Professor of the Department of Mathematics and Computer Science at the D’Amour College of Liberal Arts and Science, Assumption University (AU). He was a senior lecturer at the University of Transport and Communications (UTC), Vietnam in 2003-2018. He moved to the U.S in 2019 and then received his Ph.D. degree in 2023. He received the Excellent Teaching Award at the UTC in 2016 and 2017. He also achieved the Best Paper Award from IEEE International Conference on Communications (ICC) in 2021 for the idea of using WiFi CSI signals to detect replay attacks to voice assistant devices. For more information, see his personal website at https://benztran.com

  • Benz Tran received a Ph.D. degree in Computer Science from the University of Massachusetts Boston (UMB) in 2023, under the supervision of Prof. Xiaohui Liang. He received the BSc degree in Information Technology from Hanoi National University; received MSe degree in Software Engineering from Hochiminh National University, Vietnam in 2001 and 2009 respectively. His research interests span both Machine learning techniques and the IoT’s privacy and security problems. Much of his work has been on improving privacy and security for voice invoked devices, and the downstream task of large language models on cognitive health measurement

    • Introduction to Programming
    • Intermediate Programming
    • Data Structures
    • Large Datasets
    • Command-Line Interfaces
    • Machine Learning
    1. ICC2021 Best Paper Award (15/1881) in 2021
    2. Erasmus Mundus Higher Education Fellowship in 2017
    3. UTC Excellent Teaching Award in the academic year 2016-2017
    4. UTC Excellent Teaching Award in the academic year 2014-2015
    5. UTC Excellent Teaching Award in the academic year 2013-2014
    6. Commendation from Hochiminh City People’s Committee in 2015
    7. Commendation from the Youth Union of Hochiminh City, Vietnam
    1. Bang Tran, Xiaohui Liang, Gabriel Ghinita, Caroline Summerour, John A. Batsis. Poster + 2 pages of abstract “Voice Privacy Asisstant for Monitoring In-home Voice Commands” in the Nineteenth Symposium on Usable Privacy and Security (SOUPS 2023)
    2. Bang Tran, Sai Harshavardhan Reddy Kona, Xiaohui Liang, Gabriel Ghinita, Caroline Summerour, John A. Batsis. “VPASS: Voice Privacy Assistant System for Monitoring In-home Voice Commands” in The 20th Annual International Conference on Privacy, Security & Privacy (PST 2023)
    3. Bang Tran, Youxiang Zhu, James W. Schwoebel, and Xiaohui Liang. “Exploiting Relevance of Speech to Sleepiness Detection via Attention Mechanism” – ICC 2023.
    4. Eli Kurtz, Youxiang Zhu, Tiffany Driesse, Bang Tran, John A. Batsis, Robert M. Roth, and Xiaohui Liang. “Early detection of cognitive decline using voice assistant commands” in ICASSP 2023″.
    5. Bang Tran, Youxiang Zhu, Xiaohui Liang, James W. Schwoebel, Lindsay A. Warrenburg. “Speech Tasks Relevant To Sleepiness Determined With Deep Transfer Learning” In ICASSP 2022 – IEEE International Conference on Acoustics, Speech and Signal Processing.
    6. ouxiang Zhu, Bang Tran, Xiaohui Liang, John Batsis, Robert Roth. “Towards Interpretability of Speech Pause in Dementia Detection using Adversarial Learning” In ICASSP 2022 – IEEE International Conference on Acoustics, Speech and Signal Processing.
    7. Bang Tran, Shenhui Pan, Xiaohui Liang, and Honggang Zhang. “Exploiting Physical Presence Sensing to Secure Voice Assistant Systems.” In ICC 2021-IEEE International Conference on Communications, pp. 1-6. IEEE, 2021.
    8. Bang Tran, and Xiaohui Liang. “Exploiting peer-to-peer communications for query privacy preservation in voice assistant systems.” Peer-to-Peer Networking and Applications 14, no. 3 (2021): 1475-1487.
    9. Do, Thi Thu Hang, Bang Quang Hai Tran, and Quang Dieu Tran. “Movie indexing and summarization using social network techniques”. Vietnam Journal of Computer Science 5, no. 2 (2018): 157-164.
    10. Bang Q.H. Tran, Thi Hai Binh Nguyen, Phong Nha Tran, Thi Thanh Nga Tran, and Quang Dieu Tran. “Story-based multimedia analysis using social network technique.” In International Conference on Computer Science, Applied Mathematics and Applications, pp. 95-106. Springer, Cham, 2017.