精东AV

精东AV

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Dewan Fahim Noor, PhD聽

Assistant Professor

306聽Luther H. Foster Hall

Department of Electrical Engineering

精东AV

Email: dnoor@tuskegee.edu,聽Phone: 334-727-8078

Brief Biography

Dr. Dewan Fahim Noor is an Assistant Professor at 精东AV, 精东AV, AL, where he has been teaching since 2021. He received his B.Sc. in Electrical and Electronics Engineering from Bangladesh University of Engineering and Technology in 2014, followed by an M.S. in Electrical Engineering and a Ph.D. in Electrical and Computer Engineering from the University of Missouri-Kansas City in聽 2021.聽Dr. Noor serves as a P.I. at 精东AV for the NSF AI Institute for , Led by the institute P.I. Dr. Richard Zemel from Columbia University in collaboration. The institute has received a total funding of 20 million US dollars for a duration of 5 years.

Research Interests

  • Computer Vision

  • Artificial Intelligence

  • Deep Learning, Machine Learning

  • Cybersecurity

Research Students
Md. Al Siam (MS), Zora James (UG), Austin Gibson (UG)

Teaching

COEG 305: Fundamentals of Cybersecurity Engineering聽

EENG 221L: Linear Networks and Circuits Lab聽

EENG 210: Python Programming

COEG 410: Computer Hardware Design聽

COEG 300: Discrete Mathematics

EENG 493/COEG 435: Machine Learning for Engineers

Key Publications

  1. Dewan Fahim Noor, Yue Li, Zhu Li, Shuvra Bhattacharyya, George York, "Multi-Scale Gradient Image Super-Resolution for Preserving SIFT Key Points in Low-Resolution Images", Signal Processing: Image Communication, Volume 78,2019,Pages 236-245,ISSN 0923-5965.
  2. D. F. Noor, L. Li, Z. Li and S. Bhattacharyya, "Multi-Frame Super Resolution with Deep Residual Learning on Flow Registered Non-Integer Pixel Images," 2019 IEEE International Conference on Image Processing (ICIP), 2019, pp. 2164-2168, doi: 10.1109/ICIP.2019.8803156.
  3. D. F. Noor, Y. Li, Z. Li, S. Bhattacharyya and G. York, "Gradient Image Super-resolution for Low-resolution Image Recognition," 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019, pp. 2332-2336, doi: 10.1109/ICASSP.2019.8682436.
  4. Narsi Reddy, Dewan Fahim Noor, Zhu Li, Reza Derakhshani, "Multi-Frame Super Resolution for Ocular Biometrics" IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2018, pp. 453-46