Biography

I am a PhD candidate in Computer Science at the Lyle School of Engineering, Southern Methodist University, and a member of MistLab under Dr. Chen Wang. I earned my Master’s degree from the Engineering and Computer Science Department at Syracuse University. My research interests include Cybersecurity, Mobile Sensing and Computing, AI in Healthcare, and AI for Security.

Interests

  • Cybersecurity
  • Mobile Sensing and Computing
  • AI in Healthcare
  • AI for Security

Education

  • Ph.D. in Computer Science, 2024 - Present

    Southern Methodist University, TX, USA

  • Ph.D. in Computer Science, 2020 - 2024

    Louisiana State University-Baton Rouge, LA, USA

  • M.S. in Computer Engineering, 2017 - 2019

    Syracuse University-Syracuse, NY, USA

  • B.S. in Electronic Engineering, 2013 - 2017

    Northeast Forestry University, Harbin, China

News

[Aug 26, 2024] I'm continuing my PhD journey at Southern Methodist University as a PhD candidate.
[Jun 03, 2024] I'm excited to share that I will be working as an AI Scientist Intern at Wyze this summer!
[Apr 08, 2024] I'm named among the CPS Rising Stars in 2024.
[Mar 23, 2024] Our paper "Enhancing QR Code System Security by Verifying the Scanner's Gripping Hand Biometric" is accepted at ACM WiSec24.
[Mar 01, 2024] Our paper "Fast Detection of Handheld Phone-distracted Driving by Sensing the Driver's Hand-grip" is accepeted for publication in the IEEE Transactions on Vehicular Technology.

Publications

Ruxin Wang, Long Huang, Kaitlyn Madden, and Chen Wang (2024). Enhancing QR Code System Security by Verifying the Scanner's Gripping Hand Biometric. In the Proceedings of the 17th ACM Conference on Security and Privacy in Wireless and Mobile Networks (WiSec).

PDF DOI

Ruxin Wang, Long Huang, and Chen Wang (2023). Low-effort VR Headset User Authentication Using Head-reverberated Sounds with Replay Resistance. In the 2023 IEEE Symposium on Security and Privacy (SP).

PDF DOI

Ruxin Wang, Kaitlyn Madden, and Chen Wang (2022). Low-effort User Authentication for Kiosk Systems based on Smartphone User's Gripping Hand Geometry. In CHI Conference on Human Factors in Computing Systems Extended Abstracts (CHI ‘22 Extended Abstracts), 2022, New Orleans, LA, USA.

PDF DOI

Ruxin Wang, Long Huang, and Chen Wang (2021). Preventing Handheld Phone Distraction for Drivers by Sensing the Gripping Hand. In The 18th IEEE International Conference on Mobile Ad Hoc and Smart Systems (MASS 2021), Virtual Conference.

PDF DOI

Ruxin Wang, Long Huang, and Chen Wang (2021). Poster: Distracted driving detection by sensing the hand gripping of the phone. In Proceedings of the 27th Annual International Conference on Mobile Computing and Networking (MobiCom’21), New Orleans, LA, USA.

PDF DOI

Awards

CPS Rising Star 2024

University of Virginia Apr 2024

IEEE SP23 Travel Grant

IEEE SP23 May 2023

ACM MobiCom2021 N2Women Fellowship

ACM MobiCom2021 N2Women Dec 2021

ACM MobiCom2021 Travel Grant

ACM MobiCom2021 SRC Nov 2021

Student Graduated With Honors

Northeaset Forestry University May 2017

Teaching

◦ CSC2362 Introduction to Cybersecurity and Cyber Defense
Guest Lecturer & Teaching Assistant
◦ CSC4562 Mobile Security and Applied Cryptography
Guest Lecturer & Teaching Assistant
◦ CSC7700 Cyber-physical Security
Teaching Assistant
◦ CSC7080 Advanced Computer Architecture
Teaching Assistant

Experience

 
 
 
 
 

AI Research Scientist (Intern)

Wyze

Jun 2024 – Aug 2024 Seattle, WA, USA
Advisor: Dr.Lin Chen
 
 
 
 
 

Software Engineer (Full-time)

HSBC Bank (China) Company Limited

Aug 2019 – Jul 2020 Guangzhou, China

Contact

  • ruxinw@mail.smu.edu
  • (225)-603-8175
  • Lyle School of Engineering, 3101 Dyer Street, Dallas, TX 75205