Qingqing Li

Assistant Professor

Name

Contact Info

Phone:
410-704-4532
Office:
YR-480
Email:
qingqingli@towson.edu
Hours:
Mon. and Tue.: 2 - 3 p.m.

Education

Ph. D., Computer Science, New Mexico Institute of Mining and Technology, 2023

M.S., Computer Science, New Mexico Institute of Mining and Technology, 2020

B.E., Software Engineering, Yangtze University, China, 2016

Areas of Expertise

ML/DL and there applications

Biometrics

Cybersecurity

Mobile security

Selected Publications and Presentations

  • Li, Qingqing, Zhirui Luo, and Jun Zheng. “A new deep anomaly detection-based method for user authentication using multichannel surface EMG signals of hand gestures.” IEEE Transactions on Instrumentation and Measurement 71 (2022): 1-11.
  • Li, Qingqing, Penghui Dong, and Jun Zheng. “Enhancing the security of pattern unlock with surface EMG-based biometrics.” Applied sciences 10.2 (2020): 541.
  • Luo, Zhirui, et al. “ABODE-Net: An Attention-based Deep Learning Model for Non-intrusive Building Occupancy Detection Using Smart Meter Data.” International Conference on Smart Computing and Communication. Cham: Springer Nature Switzerland, 2022.
  • Luo, Zhirui, Qingqing Li, and Jun Zheng. “A Study of Adversarial Attacks and Detection on Deep Learning-Based Plant Disease Identification.” Applied Sciences 11.4 (2021): 1878.
  • Li, Qingqing, Zhirui Luo, and Jun Zheng. “Deep Learning-based User Authentication with Surface EMG Images of Hand Gestures.” 2021 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2021.
  • Luo, Zhirui, Qingqing Li, and Jun Zheng. “Deep feature fusion for rumor detection on twitter.” IEEE Access 9 (2021): 126065-126074.
  • Qi, Ruobin, et al. “A novel unsupervised data-driven method for electricity theft detection in AMI using observer meters.” IEEE Transactions on Instrumentation and Measurement 71 (2022): 1-10.