Chen Wang, Ph.D.

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Chen Wang, Ph.D.

Associate Professor,  Computer Science
TBD from O'Donnell Foundation

Office Location: Caruth Hall, 439

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Education

  • Ph.D. at Rutgers University 

Biography

Chen Wang is an associate professor at SMU Lyle. Prior to SMU, Chen Wang was an assistant professor of computer science at Louisiana State University. He received his Ph.D. degree at Rutgers University in 2019. His research interests include security and privacy, sensing, mixed reality, smart health care, and Web3. He is a co-founder of the cybersecurity undergraduate education program at LSU and leads the Mobile and Internet SecuriTy (MIST) lab. Chen Wang is the 2024 NSF CAREER AWARD recipient, and his research has been supported by NSF Secure and Trustworthy Cyberspace (SaTC) and LA BOR. His work has been published at multiple high-impact security and networking conferences, including IEEE S&P, ACM Mobicom, ACM CCS, ACM CHI, and IEEE Infocom. He is the recipient of FIVE BEST PAPER awards at Infocom WiSARN 2021, HealthyIoT 2019, CNS 2018, ASIACCS 2016, and CNS 2014. From 2014 to 2023, his research studies have been reported by over 170 media outlets, including IEEE Spectrum, NSF Science 360, CBS TV, BBC News, NBC, IEEE Engineering 360, Fortune, ABC News, MIT Technology Review, etc.

Honors and Awards

  • Best Paper Award at IEEE Conference on Communications and Network Security (IEEE CNS), 2014.  
  • Best Paper Award at ACM Symposium on Information, Computer and Communications Security (ACM ASIACCS), 2016. 
  • IEEE Communications Society (COMSOC) Phoenix ISS Award, 2019
  • Best Paper Award in the EAI International Conference on IoT Technologies for HealthCare, 2019
  • Best Paper Award in the IEEE Conference on Communications and Network Security (IEEE CNS), 2018. 
  • Best Paper Award ($1000) in 14th International Workshop on Wireless Sensor, Robot and UAV Networks (IEEE WiSARN), 2021
  • Louisiana Board of Regents RCS Fund, Sole PI, 2020 - 2023
  • NSF SaTC Fund, Sole PI, 2022 - 2025
  • 2024 NSF CAREER AWARD (SaTC)

Research

  • Security and Privacy
  • Sensing
  • Mixed Reality
  • Smart Healthcare
  • Generative AI 
  • Web 3 security

Recent Publications

  • Ruxin Wang, Long Huang, Chen Wang, “Low-effort VR Headset User Authentication Using Head-reverberated Sounds with Replay Resistance”, in Proceedings of the 44th IEEE Symposium on Security and Privacy (IEEE S&P Oakland), May 2023. (Acceptance rate: 17.1%, Impact factor: 14)
    https://ieeexplore.ieee.org/abstract/document/10179367
  • Long Huang, Chen Wang, “PCR-Auth: Solving Authentication Puzzle Challenges with Encoded Palm Contact Responses”, in Proceedings of the 43rd IEEE Symposium on Security and Privacy (IEEE S&P Oakland), May 2022. (Acceptance rate: 15.2%, Impact factor: 14) 
    https://ieeexplore.ieee.org/abstract/document/9833564

  • Long Huang, Chen Wang, “Notification Privacy Protection via Unobtrusive Gripping Hand Verification Using Media Sounds”, in Proceedings of The 27th Annual International Conference On Mobile Computing And Networking (ACM MOBICOM), (pp. 491-504).2022. (Acceptance rate: 17.4%, Impact factor: 6)
    https://dl.acm.org/doi/abs/10.1145/3447993.3483277

  • Long Huang, Zhen Meng, Zeyu Deng, Chen Wang, Liying Li, and Guodong Zhao. “Towards Verifying the User of Motion-controlled Robotic Arm Systems via the Robot Behavior.” In IEEE Internet of Things Journal (2022), vol. 9, no. 22, pp. 22422-22433, 15 Nov.15, 2022, doi: 10.1109/JIOT.2021.3121623. (Impact factor: 11)
    https://ieeexplore.ieee.org/abstract/document/9581318

  • Long Huang, Chen Wang, “Unobtrusive Pedestrian Identification by Leveraging Footstep Sounds with Replay Resistance”, in Proceedings of ACM International Joint Conference on Pervasive and Ubiquitous Computing (ACM UbiComp), (published at ACM IMWUT). September 2022. (Impact factor: 4.96)
    https://dl.acm.org/doi/abs/10.1145/3494963

 

Personal website 

https://s2.smu.edu/~cwang6/