Lin Qi obtained a PhD from the University of New South Wales (UNSW), Australia. His doctoral thesis received the UNSW Dean's Award for Outstanding PhD Theses. He has worked as a postdoctoral researcher at UNSW and Uppsala University, Sweden. During his time in Sweden, he participated in the Swedish Foundation for Strategic Research (SSF) projects LifeSec: Don't Hack my Body! (focused on security) and Hardware for Energy Efficient Bodynets (focused on energy efficiency).

His research interests include the Internet of Things (IoT), IoT security, novel sensor applications, applications of artificial intelligence in IoT, and health monitoring. He has published over ten papers in CCF-A and CCF-B conferences and journals. Additionally, he has served as a program committee member for EISA 2020 and WWW 2023, and as a reviewer for top conferences and journals such as TOSN, TMC, IPSN, SenSys, EWSN, DCOSS, ICCCN, and COMSNETS.

• 2016/08/01-2020/08/27
  University of New South Wales
  Internet of Things
• 2014/07/01-2016/07/29
  University of New South Wales
  Information Technology
• 2008/07/01-2010/06/01
  University of Adelaide
  Mechatronics
• 2003/09/01-2007/06/30
  Zhejiang University
  Automation

• 2024-12 — 2025-03
  School of Artificial IntelligenceShandong University
  Associate Professor
• 2021-09 — 2024-08
  Institution of Information Technology,Uppsala University
  Postdoctoral Fellow
• 2020-02 — 2021-08
  School of Computer Science and EngineeringUniversity of New South Wales
  Research Associate

1. Innovative Sensing Modalities and Smart Platforms

2. Biometric Recognition

3. Security in Internet of Things

(1)Qi Lin. H2B: heartbeat-based secret key generation using piezo vibration sensors .The 18th ACM International Conference on Information Processing in Sensor Networks(IPSN) .2019

(2)Qi Lin. KEHKey: Kinetic Energy Harvester-based Authentication and Key Generation for Body Area Network .Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies(IMWUT) .2020

(3)Qi Lin. Subject-adaptive Loose-fitting Smart Garment Platform for Human Activity Recognition .ACM Transactions on Sensor Networks(TOSN) .2023

(4)Qi Lin. E-Jacket: Posture Detection with Loose-Fitting Garment using a Novel Strain Sensor .19th ACM/IEEE International Conference on Information Processing in Sensor Networks(IPSN) .2020

(5)Yuezhong Wu. Auto-Key: Using Autoencoder to Speed Up Gait-based Key Generation in Body Area Networks .Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies(IWMUT) .2020

(6)Weitao Xu. KEHGait: Using Kinetic Energy Harvesting for Gait-based User Authentication Systems .IEEE Transactions on Mobile Computing(TMC) .2019

(7)Weitao Xu. KEHGait: Towards a Mobile Healthcare User Authentication System by Kinetic Energy Harvesting .Network and Distributed System Security Symposium(NDSS) .2017

(8)Weitao Xu. PrivGait: An Energy-Harvesting-Based Privacy-Preserving User-Identification System by Gait Analysis .IEEE Internet of Things Journal(IOT) .2021

(9)Yuchen Miao. TouchKey: Touch to Generate Symmetric Keys by Skin Electric Potentials Induced by Powerline Radiation .Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies(IWMUT) .2023

(10)Qi Lin. Demo Abstract: Human Activity Detection with Loose-Fitting Smart Jacket .19th ACM/IEEE International Conference on Information Processing in Sensor Networks(IPSN) .2020

(11)Qi Lin. Poster: Automatic key generation using motion energy harvesters .Network and Distributed System Security Symposium(NDSS) .2017