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McComish Department of Electrical Engineering and Computer Science

Abir Hadi

Abir Hadi

Title

Graduate Research Assistant

Office Building

Daktronics Engineering Hall

Office

214

Mailing Address

Daktronics Eng Hall 214
Electrical Engineering/Computer Science-Box 2222
University Station
Brookings, SD 57007

Social Media Links

Education

  • B.S. in computer science and engineering | American International University-Bangladesh | 2019

Academic Interests

  • Deep learning
  • Computer vision
  • Theoretical computer science

Academic Responsibilities

  • CSC 445: Introduction to Theory of Computation

Committees and Professional Memberships

  • ACM Professional

Awards and Honors

  • Member, Upsilon Pi Epsilon

Work Experience

  • R&D Software Engineer, NerdDevs Ltd., Bangladesh, January 2019-July 2021

Areas of Research

  • Deep learning
  • Network architecture search
  • Computer vision
  • Computational photogrammetry

Publications

Journal Publications:

  1. Khan, A., Hadi, A.M., Tazarv, M. and Won, K., 2024. Deep Learning Based Methods for Detecting Delamination of Concrete Bridge Decks. Canadian Journal of Civil Engineering. (Under Review).
  2. Hadi, A.M. and Won, K., 2024. Deep Convolutional Neural Network Compression based on the Intrinsic Dimension of the Training Data. ACM SIGAPP Applied Computing Review, 24(1), pp.14-23.
  3. Saif, A.S., Khan, M.A.S., Hadi, A.M., Karmoker, R.P. and Gomes, J.J., 2021. Silhouette pose feature-based human action classification using capsule network. Journal of Information Technology Research (JITR), 14(2), pp.106-124.
  4. Saif, A.S., Khan, M.A.S., Hadi, A.M., Karmoker, R.P. and Gomes, J.J., 2019. Aggressive action estimation: a comprehensive review on neural network based human segmentation and action recognition. International Journal of Education and Management Engineering, 9(1), p.9. DOI: 10.5815/ijeme.2019.01.02. 

Conference Publications and Presentations:

  1. Jang, Y., Moshrefizadeh, M., Hadi, A.M and Won, K., 2024, April. Multimodal Fusion of Heterogeneous Representations for Unusual Image Classification in Satellite Imagery. In Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing.
  2. Hadi, A.M., Jang, Y. and Won, K., 2023, August. Deep Reinforcement Learning Agent for Dynamic Pruning of Convolutional Layers. In Proceedings of the 2023 International Conference on Research in Adaptive and Convergent Systems (pp. 1-6).
  3. Hadi, A.M., Won, K. and Shin, S., 2022, October. Task dependent model complexity: shallow vs deep network. In Proceedings of the Conference on Research in Adaptive and Convergent Systems (pp. 107-111).
  4. Hadi, A.M., Won, K. and Shin, S., 2022, February. Study on Task-dependent Pruning of Deep Convolutional Neural Network. International Workshop on Frontiers of Computer Vision, Hiroshima, Japan.

Abstracts:

  1. Khan, A., Hadi, A.M., Tazarv, M. and Won, K., 2024, August. Use of Thermal Images for Bridge Deck Inspection. 2024 World Bridge Engineering Conference, 2024.

Technical Reports:

  1. Hadi, A., Khan, A., Won, K. and Tazarv, M., 2024, August. AI and Smart Phone Based Damage Detections for Concrete Bridge Decks. Prepared for National University Transportation Center (TriDurLE), Washington State University.

Department(s)