Shuangteng Zhang, Ph.D.
Professor & Director of the Digital Forensics and Cybersecurity Institute
Education
- B.S. Chongqing University, Measuring Tech. & Instruments
- M.S. Chongqing University, Electrical Engineering
- Ph.D. University of Toledo, Electrical Engineering
Research & Academic Interests
- Digital forensics
- Cybersecurity
- Signal/image processing
- Machine learning
Publications
- H. Hendrickson, A. Moses, K. Bradley and S. Zhang,” Known Source Artifacts Examination With Digital Forensic Tools,” Proc. of the American Academy of Forensic Sciences 72nd Annual Scientific Meeting, Anaheim, CA, pp. 479, 2020
- J. Ralls and S. Zhang, “Steganography Detection Using Machine Learning (ML),” Proc. of the American Academy of Forensic Sciences 72nd Annual Scientific Meeting, Anaheim, CA, pp. 469, 2020
- C. Smith and S. Zhang, “Instagram™ Forensic Artifacts on Windows® Systems,” Proc. of the American Academy of Forensic Sciences 71st Annual Scientific Meeting, Baltimore, MD, pp. 442, 2019
- J. Ralls and S. Zhang, “ A New Botnet Command & Control Mechanism Using Ethereum Platform,” Proc. of the American Academy of Forensic Sciences 71st Annual Scientific Meeting, Baltimore, MD, pp. 438, 2019 • Y. Zhang, E. Salari and S. Zhang, “Reducing blocking artifacts in JPEG compressed images using an adaptive neural network-based algorithm,” Neural Comput & Applic., vol. 22, pp. 3-10, 2013
- S. Zhang, “Side-Match Vector Quantizers Using Neural Network Based Variance Predictor for Image Coding,” International Journal of Image Processing, vol. 5, no. 2, pp. 119-129, 2011
- S. Zhang and Y. Lu, “Image Resolution Enhancement Via Restoration Using Neural Network,” Journal of Electronic Imaging, vol. 20, 023013, May 2011.
