I’m a Ph.D. candidate at RIT in the Golisano College of Computing and Information Sciences, where I’m part of the Networked Sensing Systems Lab. I work with Prof. Fawad Ahmed on research focused on making the perception, processing, and representation of 3D data smarter, safer, and more efficient, with applications in autonomous vehicles and sports analytics. I started out in Electrical Engineering at UET Lahore, where I was honored to be on the Dean’s List, and somewhere along the way, I discovered my love for research that connects AI, systems, and real-world impact.

My research journey has taken a few interesting turns. Before RIT, I was at LUMS, where I worked on using satellite data and deep learning to support sustainable urban development. Even earlier, at the ITU, I dived into 3D computer vision and experimented with ways to make Structure from Motion pipelines more robust using deep learning.

I also completed an internship at Nokia Bell Labs, where I worked on transformer-based motion predictors for predictive rendering, helping mitigate network delays in teledriving.

Outside of research, I’m always curious about new tech, enjoy working on side projects, and love finding ways to make complex ideas simple.

Publications

• [SenSys ‘26] Been There, Scanned That: Nostalgia-Driven LiDAR Compression for Self-Driving Cars. [Link Coming soon]
• [MobiSys ‘24] VRF: Vehicle Road-side Point Cloud Fusion. link

News

2025

• I will be serving as a shadow reviewer for EuroSys ‘26
• [Paper Acceptance] Our paper is accepted at SenSys ’26.
• I am appointed as a Teaching Assistant for the Foundations of Computer Vision course (Fall 2025, graduate level).
• I am starting an internship at Nokia Bell Labs.

2024

• I will be attending MobiCom ’24.
• I received a travel award from RIT Student Government.
• An article is published on the RIT website highlighting our recent paper at MobiSys ’24.
• I will be judging project presentations for undergraduate students in the Computer Vision course at RIT’s Computer Science Department.
• [Paper Acceptance] Our paper is accepted at MobiSys ’24.

2023

• I passed my Research Potential Assessment, the first milestone of the Ph.D. program.

Talks

• Unlocking PhD Opportunities, UET Lahore (Google Meet), 2024
• Autonomous Vehicle LiDAR Data Compression, RIT Computer Science Department, 2024.
• 3D Data Sensing and Processing, RIT Computer Science Department, 2024.
• Leveraging Spatiotemporal Relationships to Reduce Storage Requirements of Autonomous Vehicle Data, RIT, 2023.