Scholar
Md Zahid Hasan
Google Scholar ID: m9QYJ_cAAAAJ
Iowa State University, USA
Citations & Impact
Citations
78
H-index
3
i10-index
2
Publications
12
Co-authors
12
list available
Publications
Resume (English only)
Academic Achievements
- 1. Paper: 'Vision-Language Models Can Identify Distracted Driver Behavior From Naturalistic Videos', IEEE Transactions on Intelligent Transportation Systems, 2024.
- 2. Paper: 'Roadway weather challenges illuminate real-world driving biomarkers of dementia risk', Alzheimer's & Dementia (2023).
- 3. Paper: 'DriveCLIP: Z'.
Research Experience
- 1. Research Assistant, Self-aware Complex System Lab, Iowa State University, Supervisor: Dr. Soumik Sarkar.
- 2. Research Assistant, Real-Time Analytics of Transportation Data Lab (REACTOR Lab), Iowa State University, Supervisor: Dr. Anuj Sharma.
- 3. Machine Learning Research Intern, RTX Corporation, Supervisors: Kunal Srivastava, Senior Manager, Raytheon Technologies, and Soumalya Sarkar, Principal Research Scientist, Raytheon Technologies.
- 4. Teaching Assistant, Department of Electrical and Computer Engineering, Iowa State University, Courses: EE 526: Deep Learning: Theory and Practice, etc.
- 5. Undergraduate Research Student, Department of Electrical and Electronic Engineering, Bangladesh University of Engineering and Technology, Supervisor: Dr. Shamim Reza.
Education
- 1. Ph.D. in Electrical Engineering, 2021 - 2025, Iowa State University, Supervisors: Dr. Soumik Sarkar and Dr. Baskar Ganapathysubramanian.
- 2. M.Eng. in Electrical Engineering, 2023 - 2024, Iowa State University.
- 3. B.S. in Electrical and Electronic Engineering, 2014 - 2018, Bangladesh University of Engineering and Technology.
Background
- Research interests lie at the intersection of Computer Vision (CV), Foundation Models (VLM/MLLM), Multi-modal learning, Autonomous Driving (AD), and Artificial Intelligence (AI) models robustness. Currently working as a Graduate Research Assistant at the Self-aware Complex System Lab, Iowa State University, focusing on computer vision for autonomous driving and video action understanding.
