Biography

I am a Ph.D. student of computer science at Louisiana State University, advised by Dr. Chen Wang. My research interests include Sensing, Security, Ubiquitous Computing, and Internet of Things. Before joining LSU, I got my master degree from Stevens Insititute of Technology and my bachelor degree from University of Electronic Science and Technology of China.

Download my CV.

Interests
  • Sensing
  • Security
  • Ubiquitous Computing
  • Internet of Things
Education

  • PhD Student in Computer Science, 2019 - Present

    Louisiana State University

  • MEng in Electrical Engineering, 2019

    Stevens Institute of Technology

  • BEng in Electrical Engineering, 2015

    University of Electronic Science and Technology of China

Publications

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

DOI

Long Huang, Chen Wang (2022). PCR-Auth: Solving Authentication Puzzle Challenge with Encoded Palm Contact Response. 2022 IEEE Symposium on Security and Privacy (SP).

DOI

Long Huang, Chen Wang (2021). Unobtrusive Pedestrian Identification by Leveraging Footstep Sounds with Replay Resistance. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies.

DOI

Long Huang, Chen Wang (2021). Notification Privacy Protection via Unobtrusive Gripping Hand Verification Using Media Sounds. Proceedings of the 27th Annual International Conference on Mobile Computing and Networking.

DOI

Long Huang, Zhen Meng, Zeyu Deng, Chen Wang, Liying Li, Guodong Zhao (2021). Towards Verifying the User of Motion-controlled Robotic Arm Systems via the Robot Behavior. IEEE Internet of Things Journal.

DOI

Projects

*
All Mobile Sensing IoT
Challenge-response Biometric Authentication for Handheld Devices
Proposed a novel acoustically extracted hand-grip biometric, which is associated with every user’s hand geometry, body-fat ratio, and gripping strength; It is implicit and available whenever the user grips a handheld device.
Video
Challenge-response Biometric Authentication for Handheld Devices
Pedestrian Identification Using Footstep Sounds
Developed an unobtrusive pedestrian identification system by passively listening to people’s walking sounds. The proposed acoustic system can be easily integrated with the widely deployed voice assistant devices while providing the context awareness ability.
Pedestrian Identification Using Footstep Sounds
Gripping Hand Verification Using Media Sounds
Showed that media sounds, such as the melodies of notification tones (e.g., iPhone message and Samsung whistle) can be directly used to sense and verify the user’s gripping hand. Developed a cross-domain method to validate hard-to-forge physical relationships among the mic, speaker, and accelerometer to prevent external sounds from cheating the system.
Video
Gripping Hand Verification Using Media Sounds
User Verification for Motion-controlled Robotic Arm Systems
Built up a motion-controlled robotic arm framework comprising a robotic arm end and a user end, which are connected via a network and responsible for manipulator control and motion capture respectively.
User Verification for Motion-controlled Robotic Arm Systems

Awards

Best Paper Award in the IEEE International Workshop on Wireless Sensor, Robot and UAV Networks (IEEE WISARN), 2021.

Student Travel Grant in the 27th Annual International Conference on Mobile Computing and Networking.

Student Travel Grant in the 43rd IEEE Symposium on Security and Privacy.

Gary Marsden Travel Award in 2022 ACM International Conference on Pervasive and Ubiquitous Computing.