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Feng Jiang
Chair and Associate Professor of Computer Sciences
College of Aerospace, Computing, Engineering, and Design
[email protected]Office Hours
Office Hours 2026 Spring
Tuesday Thursday 11:30AM -12PM 1:50PM-2:15PM
Monday Wednesday Friday, send me a Teams message or email to schedule a time, or send me a outlook calendar invite. My calendar is up-to-date.
Biography
Dr. Feng Jiang got her PhD degree in Computer Engineering from Purdue University. She is currently an associate professor in Computer Science Department, Metropolitan State University of Denver.Personal Website: www.fengjiang8.com
Research Interests
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Multimedia Security
Machine Learning
Computer Vision
Teaching Interests
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Machine Learning
Computer Vision
Computer Organization
Multimedia Security
Education
PhD in Computer Engineering
Purdue University
MS in Computer Engineering
Chinese Academy of Science
Personal Website
Published Works
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Liang, J., Huang , ., Ding, ., Hong, W., Jiang, F., Pang, Y. . Privacy Risk in Multi-Task Learning: Black-box Membership Inference Attacks and Discussion. Thirty-Eighth AAAI Conference on Artificial Intelligence, https://aaai.org/aaai-conference/
Bo, W., Huang , ., Li, D., Liang, J., Li, Y., Cao, C., Chen, Y., Zhang, X., Xiong, H., Jiang, F., Pang, Y. . A Novel Method for Camouflaging Point Clouds to Counter Adversarial Deception in Remote Sensing. [Manuscript submitted for publication]. Journal of Remote Sensinghttps://spj.science.org/journal/remotesensing.
Watters, J., Hill, A. A., Weinrich, M., Supalo, C., Jiang, F. (2021). An Artificial Intelligence Tool for Accessible Science Education. Journal of Science Education for Students with Disabilities, https://doi.org/10.14448/jsesd.13.0007
Watters, J., Hill, ., Weinrich , M., Supalo, C., Jiang, F. (2021). An Artificial Intelligence Tool for Accessible Science Education. Journal of Science Education for Students with Disabilitieshttps://scholarworks.rit.edu/jsesd/.
Pang, Y., Shi, Y., Gao, S., Jiang, F., Veeranampalayam-Sivakumar, A., Thompson, ., Luck, J., Liu, C. (2020). Improved crop row detection with deep neural network for early-season maize stand count in UAV imagery. Computers and Electronics in Agriculturehttps://www.journals.elsevier.com/computers-and-electronics-in-agriculture .
Jiang, F., King, B. . Automatic Object Segmentation . Image and Vision Computinghttps://www.journals.elsevier.com/image-and-vision-computing.
Jiang, F., King, B., Liu, C. . High Capacity, Image Feature Based Digital Watermarking Robust Against Signal Processing Attacks, Geometric Attacks and Print-Scan Process. Digital Signal Processinghttps://www.journals.elsevier.com/digital-signal-processing.
Watters, J., Jiang, F., Hill, A., Liu, C. (2020). An Artificial Intelligence Tool for Accessible Science Education. 11th International Multi-Conference on Complexity, Informatics and Cybernetics (IMCIC 2020), http://www.iiis-spring20.org/imcic/Website/KSpeakers.asp?vc=26
Pang, Y., Christenson, J., Jiang, F., Lei, T., Rhoades, R., Kern, D., Thompson, A. J., Liu, C. (2020). Automatic detection and quantification of hand movements toward development of an objective assessment of tremor and bradykinesia in Parkinson's disease. Journal of Neuroscience Methodswww.journals.elsevier.com/journal-of-neuroscience-methods.
Jiang, F., King, B., Pang, Y., Liu, C. (2019). Object Segmentation Based on GrabCut. Computer Vision Conference (CVC2019), http://saiconference.com/CVC