Dr. Jehanzeb Mirza
MIT CSAIL
Research Expertise
About
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Education
TU Graz, Austria
Ph.D. in Computer Vision, Computer Vision / 2024
KIT, Germany
MS in ETIT / 2020
NUST, Pakistan
BS in EE / 2017
Graz University of Technology
Ph.D. in Computer Science / 2024
Karlsruhe Institute of Technology
M.Sc. in Electrical Engineering and Information Technology / 2020
National University of Science and Technology
B.Sc. in Electrical Engineering / 2017
Experience
Massachusetts Institute of Technology (MIT)
Postdoctoral Researcher / November, 2024 — December
Leading research on multimodal learning combining speech vision and language for scalable AI systems. Designing and evaluating methods to improve fine-grained reasoning in large language and vision-language models.
Graz University of Technology
Computer Vision Project Assistant / January, 2021 — October, 2024
Developed self-supervised and unsupervised learning techniques to improve neural network robustness to distribution shifts at test time. Conducted extensive research on LLMs and multimodal VLMs resulting in multiple publications at NeurIPS ICCV and CVPR.
Sony AI
Research Scientist Intern / May, 2024 — August, 2024
Designed multimodal learning methods integrating vision audio and language signals. Prototyped and evaluated models for cross-modal understanding in real-world scenarios.
Intel Labs
Master Thesis Researcher / January, 2020 — July, 2020
Evaluated robustness of state-of-the-art 2D and 3D object detectors for autonomous driving under adverse weather.
C++ Developer Intern / October, 2019 — December, 2019
Implemented state estimation using Unscented Kalman Filter in C++ and OpenCV for real-time object tracking.
Intel
Platform Application Engineer Intern / March, 2019 — August, 2019
Built an automation framework including PCB design and microcontroller integration to streamline internal workflows.
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