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Chen Wang Associate Professor Department of Computer Science Southern Methodist University Address: 3145
Dyer Street, Suite 439 Dallas,
TX 75205 Email: cwang6 AT smu.edu |
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Find Your Way Through the
MIST!
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I am
an associate professor at SMU Lyle. I lead the Mobile and Internet SecuriTy Lab (MIST LAB). My
research interests include Cyber Security and Privacy, Robotics Security,
Sensing, Smart Health Care, Mixed Reality, Internet of Things, and Machine
Learning.
Chen
Wang received his Ph.D. degree in Electrical and Computer Engineering at
Rutgers University and he worked at WINLAB.
He obtained his Master’s and Bachelor’s degrees from
University of Electronic and Science of Technology of China (UESTC). [Google Scholar]
·
[May 2026] One
paper will be presented at IEEE S&P 2026, and one paper will
be presented at IEEE Euro S&P 2026.
·
[Sep 2025] My
student, Jingwei Zhang, has been awarded the highly competitive O'Donnell Institute Graduate Fellowship (selection
rate: 4/33=12%). Congratulations to Jingwei!
·
[May 2025] One
paper will be presented at IEEE S&P 2025 and one paper will
be presented at IEEE DySPAN 2025.
·
[April 2025] My Ph.D. student, Ruxin Wang will
join University of Texas San Antonio as a tenure-track assistant professor this
fall.
·
[September 2024] I received the O’Donnell
Foundation Endowed Professorship and was featured in SMU
News.
· [June
2024] I received the prestigious NSF Career Award.
· [May
2024] My Ph.D. student, Ruxin Wang, received the 2024 NSF
CPS Rising Stars Award and was featured in LSU
News.
·
[May
2023] View the teaser video of
our IEEE S&P 2023 paper “Low-effort
VR Headset User Authentication Using Head-reverberated Sounds with Replay
Resistance” here. ![]()
·
[May
2022] View the teaser video of
our IEEE S&P 2022 paper “PCR-Auth:
Solving Authentication Puzzle Challenge with Encoded Palm Contact Response”
here. ![]()
·
[Feb
2022] View the demo video of
our Mobicom 2021 paper “Notification
Privacy Protection via Unobtrusive Gripping Hand Verification Using Media
Sounds” here. ![]()
Honors and Awards
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Sam Taylor Fellowship, 2026
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The O’Donnell Foundation Professorship, 2024
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NSF Career Award, 2024
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NSF SaTC Small, 2022
·
BOR RCS Award, 2020
·
Best
Paper Award ($1000)
in 14th International Workshop on Wireless Sensor, Robot and UAV Networks (IEEE
WiSARN), 2021.
·
Best Paper Award in the EAI International
Conference on IoT Technologies for HealthCare, 2019.
·
IEEE COMSOC Phoenix ISS Award ($3000), 2019.
·
Best Paper Award in the IEEE Conference on Communications and Network
Security (IEEE CNS), 2018. - First author
·
Best Poster Award Runner-up at ACM Conference on Mobile Computing and
Networking (ACM MobiCom), 2018. - First author
·
Best Paper Award in the ACM Symposium on Information, Computer and
Communications Security (ASIACCS), 2016. – First author
·
Best Paper Award in the IEEE Conference on Communications and Network
Security (IEEE CNS), 2014. – Second author
· First Place Winner - IEEE North Jersey Cybersecurity Poster Award at 4th
Annual Symposium on Cybersecurity & Internet of Things, September 2016. –
First author
· ECE Graduate Program
Award - Best
Teaching Assistant of the Spring 2018 Semester at Rutgers University, 2019.
· ECE Outstanding Research Assistant Award at Stevens Institute of Technology, 2016.
·
Third price in
the poster competition at North Jersey Advanced Communications Symposium (IEEE
NJACS), 2015. ![]()
Ph.D. Students:
Long Huang
(B.S., University of Electronic Science and Technology of China) - Best Paper
Award (WiSARN)
Zeyu
Deng (B.S., Huazhong University of Science and Technology & Birmingham
University) - Best Paper Award (WiSARN)
Ruxin
Wang (M.S., Syracuse University) – NSF
CPS Rising Stars 2024, now an assistant professor at UTSA
Jingwei
Zhang (M.S., Stevens Institute of Technology) - O'Donnell Institute Graduate
Fellowship
Wen
Liu (M.S., George Washington University)
Sihang
Wang (B.S., Shanghai Jiao Tong University, M.S., Colorado School of Mines)

Selected Publications
Journal Papers, Conference Papers and Posters:
[1] Long Huang, Chen
Wang, “Sniffing Location Privacy of Video Conference Users Using Free Audio
Channels”, in Proceedings of the 46rd
IEEE Symposium on Security and Privacy (IEEE S&P Oakland), May 2025. (Acceptance rate: 257/1740 = 14.8%). [PDF]
[2] Long Huang, Zeyu
Deng, Jingwei Zhang, Chen Wang and Huaxia Wang, “Adversarial OFDM Spectrum
Modification to Manipulate Channel State Information Systems”, in Proceedings
of the IEEE International Symposium on Dynamic Spectrum Access Networks (IEEE DySPAN), May 2025.
[3] Ruxin Wang, Kaitlyn Madden, Chen Wang, “Enhancing QR Code System
Security by Verifying the Scanner's Gripping Hand Biometric,” in Proceedings
of 17th ACM Conference on Security and Privacy in Wireless and Mobile Networks
(ACM WiSec), May 2024. (Acceptance rate: 21.1%)
[4] Zeyu Deng, Long Huang, Chen
Wang, “Enhanced In-air Signature Verification via Hand Skeleton Tracking to
Defeat Robot-level Replays”, in Proceedings
of the Annual Computer Security Applications Conference (ACSAC),
December 2023. (Acceptance rate: 24.0%)
[5] 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 or Oakland),
May 2023. (Acceptance rate: 17.1%). [PDF]
[6] Long Huang, Chen
Wang, “PCR-Auth: Solving Authentication Puzzle
Challenge with Encoded Palm Contact Response”, in Proceedings of the 43rd IEEE Symposium on Security and Privacy (IEEE S&P or Oakland), May 2022 (Acceptance rate: 15.2%). [PDF]
[7] 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. [PDF]
[8] Huang, Long,
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”. IEEE Internet of Things Journal
(IEEE IoT) 2021. [PDF]
[9] 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), 2021. (Acceptance rate: 17.4%) [PDF]
[10] Long
Huang, Zhen Meng, Zeyu Deng, Chen Wang, Liying Li, and Guodong Zhao.
"Robot Behavior-Based User Authentication for Motion-Controlled Robotic
Systems," in Proceedings of the 14th International
Workshop on Wireless Sensor, Robot and UAV Networks (IEEE WiSARN),
2021
– Best
Paper Award [PDF]
[11] Ruxin Wang, Long
Huang, Chen Wang, “Preventing Handheld Phone Distraction for Drivers by
Sensing the Gripping Hand”, in Proceedings
of 18th IEEE International Conference on Mobile Ad-Hoc
and Smart Systems (IEEE MASS),
2021. [PDF]
[12] S
Abhishek Anand, Chen Wang,
Jian Liu, Nitesh Saxena, Yingying Chen, “Spearphone: A Lightweight Speech
Privacy Exploit via Accelerometer-Sensed Reverberations from Smartphone
Loudspeakers,” in Proceedings of the ACM Conference on Security and Privacy
in Wireless and Mobile Networks (ACM WiSec), June-July
2021. (Acceptance rate:
27/121 = 22.3%)
[13] S
Abhishek Anand, Jian Liu, Chen Wang, Maliheh Shirvanian, Nitesh Saxena,
Yingying Chen, EchoVib: Exploring Voice Authentication via Unique Non-Linear
Vibrations of Short Replayed Speech, in
Proceedings of the 16th ACM ASIA Conference on Computer and Communications
Security (ACM AsiaCCS), 2021. (Acceptance
rate: 29/157=18.4%).
[14] Xin Yang, Song
Yang, Jian Liu, Chen Wang, Yingying Chen, Nitesh Saxena, “Enabling
Finger-touch-based Mobile User Authentication via Physical Vibrations on IoT
Devices”, IEEE Transactions on Mobile
Computing (IEEE TMC), 2021.
[15] Chen Wang, Yan Wang,
Yingying Chen, Hongbo Liu, Jian Liu, “User Authentication on Mobile Devices:
Approaches, Threats and Trends”, Computer
Networks, 2020. [PDF]
[16] Long Huang, Chen
Wang, WalkID: Towards Context Awareness of Smart Home by
Identifying Walking Sounds, In 2020 IEEE
6th World Forum on Internet of Things (WF-IoT), pp. 1-6. IEEE, 2020. [PDF]
[17] Zhenzhe Lin, Yucheng
Xie, Xiaonan Guo, Chen Wang, Yanzhi
Ren and Yingying Chen, in Proceedings of
EAI International Conference on IoT Technologies for HealthCare, December
2019. [PDF]
- Best Paper Award
[18] Chen Wang, S Abhishek Anand, Jian Liu, Payton R. Walker, Yingying
Chen and Nitesh Saxena. “Defeating Hidden Audio Channel Attacks on Voice
Assistants via Audio-Induced Surface Vibrations.” In Proceedings of the Annual Computer Security Applications Conference (ACSAC), December 2019. (Acceptance rate: 60/266 =
22.6%)
[19] Chen Wang, Jian Liu, Xiaonan Guo, Yan Wang and Yingying Chen.
“WristSpy: Snooping Passcodes in Mobile Payment Using Wrist-worn Wearables”. in
Proceedings of IEEE International
Conference on Computer Communications (IEEE INFOCOM),
April 2019. (Acceptance rate: 288/1464 = 19.7%) [PDF]
[20] Yanzhi Ren, Chen Wang, Yingying Chen, Jie Yang, Continuous and Noninvasive
Fine-grained Sleep Monitoring: Hearing Your Breathing Leveraging Smartphones,
in IEEE Internet of Things Journal (IEEE IoT), 2019. [PDF]
[21] Jian Liu, Hongbo Liu, Yingying Chen, Yan
Wang, Chen Wang, “WiFi Sensing for
Human Activity: A Survey”, IEEE Communications Surveys & Tutorials, 2019.
[22] Chen Wang, Jian Liu, Xiaonan Guo, Yan Wang and Yingying Chen.
“Poster: Inferring Mobile Payment Passcodes Leveraging Wearable Devices”, in Proceedings of the 24th Annual International
Conference on Mobile Computing and Networking (ACM
MobiCom), New Delhi, India, October/November 2018. [PDF]
- Best Poster Award Runner-up
[23] Chen Wang, Jian Liu, Yingying Chen, Hongbo Liu, Yan Wang, “Towards
In-baggage Suspicious Object Detection Using Commodity WiFi”, [PDF]
in Proceedings of IEEE International
Communications and Network Security (IEEE CNS 2018),
Beijing, China, May/June 2018. (Acceptance rate: 51/181 = 28.2%)
- Best paper award
[24] Yanzhi Ren, Chen Wang, Yingying Chen, Mooi Choo
Chuah, and Jie Yang, Signature Verification Using Critical Segments for
Securing Mobile Transactions, in IEEE
Transactions on Mobile Computing (IEEE TMC),
2018.
[25] Chen Wang, Xiaonan Guo, Yingying Chen, Yan Wang, Bo
Liu, “Personal PIN Leakage from Wearable Devices," in IEEE Transactions on Mobile Computing (IEEE TMC),
2018. [PDF]
[26] Jian Liu, Chen Wang, Yingying Chen, and Nitesh Saxena. “Good vibrations:
accessing ‘smart’ systems by touching any solid surface”, Biometric Technology
Today 2018, no. 4 (2018): 7-10.
[27] Jian Liu, Chen Wang, Yingying Chen, Nitesh Saxena, “VibWrite: Towards
Finger-input Authentication on Ubiquitous Surfaces via Physical Vibration”, [PDF]
in Proceedings
of the 24th ACM Conference on Computer and Communications Security (CCS 2017), Dallas, USA, October 2017. (Acceptance
rate: 151/843 = 17.9%)
[28] Chen Wang, Chuyu Wang, Yingying Chen, Lei Xie and
Sanglu Lu, “Smartphone Privacy Leakage of Social Relationships and Demographics
from Surrounding Access Points”, [PDF]
in
Proceedings of IEEE International Conference on Distributed Computing (ICDCS 2017), Atlanta,
GA, USA, June 2017. (Acceptance rate: 90/531 = 16.9%)
[29] Chen Wang, Xiuyuan Zheng, Yingying Chen, Jie Yang,
“Locating Rogue Access Point using Fine-grained Channel Information”, in IEEE Transactions on Mobile Computing (IEEE TMC), 2017. [PDF]
[30] Chen Wang, Xiaonan Guo, Yan Wang, Yingying Chen, Bo
Liu, Friend or Foe? Your Wearable Devices Reveal Your Personal PIN,
in Proceedings
of the 11th ACM Symposium on Information, Computer and Communications Security
(ASIACCS), Xi'an, China, May 2016.
(Acceptance rate: 20.9%)
- Best Paper Award [PDF]
[31] Yanzhi Ren, Chen
Wang, Yingying Chen, Mooi Choo Chuah, Jie Yang, “Critical Segment Based
Real-time E-Signature for Securing Mobile Transactions”, in Proceedings of IEEE Conference on
Communications and Network Security (IEEE CNS), Florence, Italy, September 2015. [PDF]
[32] Yanzhi Ren, Chen Wang, Jie Yang, Yingying Chen, Fine-grained Sleep
Monitoring: Hearing Your Breathing with Smartphones, [PDF]
in Proceedings
of the IEEE International Conference on Computer Communications (IEEE INFOCOM), Hong
Kong, China, April 2015(Acceptance rate: 316/1640 =
19%).
[33] Xiuyuan Zheng, Chen Wang, Yingying Chen, Jie Yang, “Accurate Rogue Access Point
Localization Leveraging Fine-grained Channel Information”, in Proceedings of
IEEE Conference on Communications and Network Security (IEEE CNS), San Francisco, CA, USA, Oct. 2014.
-Best Paper Award [PDF]
[34] Ming Zhan, Liang Zhou, Chen Wang, “A New Algorithm without Exponential and Logarithmic
Computations in Iterative Decoding for Double Binary Convolutional Turbo Code”.
In Proceedings of the 7th International Conference on Wireless Communications,
Networking and Mobile Computing. Wuhan, China, pp. 1-4, 2011.
Patents
[35] Yingying
Chen, Chen Wang, Jian Liu, Hongbo
Liu, Yan Wang, In-Baggage Object Detection Using Commodity Wi-Fi, U.S.
Provisional Patent Application No. 62/828,151, April 2019.
[36] Yingying
Chen, Nitesh Saxena, Jian Liu, Chen Wang,
Systems and methods for user input and authentication using vibration analysis,
U.S. Provisional Application No. 62/680,970, 2018.
[37] Chen Wang, Liang
Zhou, Ming Zhan, Lili Zeng, Fast Two-Way Parallel Decoding Algorithm for
Convolutional Turbo Code, Chinese Patent Application No. CN102340320 B, 2013.
Last
updated: October 2024.

MIST
LAB IN 2021

MIST
LAB IN 2022

MIST
LAB IN 2023

MIST
LAB IN 2024/25

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