Summary
Jahid Hasan is a PhD candidate and Research Fellow in Data Science and Geospatial Analytics at RMIT with eight years’ experience applying deep learning and computer vision to real-world problems, from automated vehicle damage assessment to large-scale mobility analysis. He builds scalable spatiotemporal pipelines on AWS (PySpark/EMR/SageMaker) to process multi‑terabyte device-level movement datasets and translate them into actionable insights for transport and emerging aviation systems. His industry-embedded PhD produced multimodal vision–language models and benchmarks (CarDVLM, CarDamageEval, GroundingCarDD) for structured vehicle inspection, blending research rigor with production-minded engineering. Comfortable with embedded systems (Raspberry Pi, Arduino) and edge computing, Jahid uniquely bridges low-level hardware design and state-of-the-art AI, enabling end-to-end solutions from sensor to cloud. Based in Melbourne, he also contributes to explainable AI and VLM work, and serves as an HDR representative advocating for research communities.
8 years of coding experience
6 years of employment as a software developer
Bachelor's degree, Electrical and Electronics Engineering, Bachelor's degree, Electrical and Electronics Engineering at Hajee Mohammad Danesh Science & Technology University
HSC, Science, HSC, Science at Rangpur Govt. College
Doctor of Philosophy - PhD, Business Information Systems, Doctor of Philosophy - PhD, Business Information Systems at RMIT University
Bangla, English