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Deans Office

Deans Office

Dr. Afzel Noore

Associate Dean for Undergraduate Affairs

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EDUCATION

Ph.D.   Electrical Engineering      West Virginia University                            1987

M.S.    Electrical Engineering      Indian Institute of Technology, Madras         1981

B.E.    Electronics & Comm.       Engineering, University of Madras, India       1977

APPOINTMENTS

Administration

2018–Present:  Associate Dean for Undergraduate Affairs College of Engineering, 51勛圖厙 A&M University-Kingsville

2023–2024: Interim Department Chair,  Electrical Engineering & Computer Science, 51勛圖厙 A&M University-Kingsville

2020–2021: Interim Department Chair, Industrial Management & Technology, 51勛圖厙 A&M University-Kingsville

2018–2019: Interim Department Chair, Electrical Engineering & Computer Science, 51勛圖厙 A&M University-Kingsville

2009–2017: Associate Chair for Academic Affairs, Dept. of Computer Science & Electrical Engineering, West Virginia University

2003–2004: Special Assistant to the Dean, college of Engineering and Mineral Resources, West Virginia University    

1996–2002: Associate Dean for Academic Affairs, College of Engineering and Mineral Resources, West Virginia University

 

Faculty

West Virginia University

2007–2017: Professor, Dept. of Computer Science & Electrical Engineering, West Virginia University

1992–2007: Associate Professor, Dept. of Computer Science & Electrical Engineering, West Virginia University

1987–1992: Assistant Professor, Dept. of Computer Science & Electrical Engineering, West Virginia University

1982–1986: Teaching Fellow, Department of Electrical Engineering,

West Virginia University

Industry

1980–1982: Product Development Engineer, Digital Design Group, Philips India.

Developed LED and LCD based microprocessor multimeter models in collaboration with Philips Eindhoven, Holland. Both products were successfully commercialized.

RESEARCH

Research Areas:  Machine learning, artificial intelligence, adversarial machine learning, information fusion, data analysis and decision making with uncertain, non-ideal or missing data, fault tolerance, image processing, distributed multi-agents, and pattern recognition.

Awards: Received 10 Best Paper Awards.

Recognition: Recognized in 2024 as World’s Top 2% Scientists by Stanford University in Machine Learning and Image Processing.

External Funding: Received $10 million in external funded research as PI or Co-PI from different agencies: NSF, US Department of Energy, National Institute of Justice, NASA, EPRI, National Consortium for Technology in Business-ASEE, DARPA, DoD Army Research Laboratory, and the FBI.

Publications:  ≥ 155 papers (70 Journals + 75 Conferences + 9 Book Chapters)

Selected Publications:

  1. Malhotra, M. Vatsa, R. Singh, K.B. Morris, and A. Noore, “Multi-Surface Multi-Technique (MUST) Latent Fingerprint Database,” IEEE Trans. on Information Forensics and Security, vol. 19, pp. 1041-1055, 2024.
  2.  Agarwal, A. Noore, M. Vatsa, and R. Singh, “Generalized Contact Lens Iris Presentation Attack Detection,” IEEE Trans. on Biometrics, Behavior, and Identity Science, vol. 4, no. 3, pp. 373-385, 2022.
  3. Agarwal, A. Noore, M. Vatsa, and R. Singh, “Enhanced Iris Presentation Attack Detection via Contraction-Expansion CNN,” Pattern Recognition Letters, vol. 159, pp. 61-69, 2022.
  4.  I. Dhamecha, A. Noore, R. Singh, and M. Vatsa, “Between-Subclass Piece-wise Linear Solutions in Large Scale Kernel SVM Learning,” Pattern Recognition, vol. 95, pp 173-190, 2019.
  5. Kohli, D. Yadav, M. Vatsa, R. Singh, and A. Noore, “Supervised Mixed Norm Autoencoder for Kinship Verification in Unconstrained Videos”, IEEE Trans. on Image Processing, vol. 28, no. 3. pp 1329 - 1341, 2018.
  6. Keshari, M. Vatsa, R. Singh, and A. Noore, “Learning Structure and Strength of CNN Filters for Small Sample Size Training,” Conference on Computer Vision and Pattern Recognition (CVPR), 2018.
  7.  Kohli, M. Vatsa, R. Singh, A. Noore, and A. Majumdar, “Hierarchical Representation Learning for Kinship Verification,” IEEE Trans. on Image Processing, vol. 26, no. 1. pp 289-302, 2017.
  8.  Vatsa, H.S. Bhatt, S. Bharadwaj, A. Noore, and S.S. Nooreyezdan, “Plastic Surgery: A New Dimension to Face Recognition,” IEEE Trans. on Information Forensics and Security, vol. 5, no. 3, pp. 441 – 448, 2010.
  9.  Vatsa, R. Singh, A. Noore, and A. Ross, “On the Dynamic Selection of Biometric Fusion Algorithms,” IEEE Trans. on Information Forensics and Security, vol. 5, no. 3, pp. 470 – 479, 2010.
  10.  Vatsa, R. Singh, and A. Noore, “Improving Iris Recognition Performance Using Segmentation, Quality Enhancement, Match Score Fusion, and Indexing,” IEEE Trans. on Systems, Man, and Cybernetics – B, 38, no. 4, pp. 1021-1035, 2008.
  11. Singh, M. Vatsa, and A. Noore, “Hierarchical Fusion of Multi Spectral Face Images for Improved Recognition Performance,” Information Fusion, vol.9, no. 2, pp. 200-210, 2008.
  12. Singh, M. Vatsa, and A. Noore, “Integrated Multilevel Image Fusion and Match Score Fusion of Visible and Infrared Face Images for Robust Face Recognition,” Pattern Recognition Special issue on Multimodal Biometrics, vol. 41, no. 3, pp. 880-893, 2008.
Dr. Afzel Noore