Fawad Ahmad
Assistant Professor
Department of Computer Science
Golisano College of Computing and Information Sciences
Office Hours
Tue-Thur: 10-11:30 am
Office Location
Fawad Ahmad
Assistant Professor
Department of Computer Science
Golisano College of Computing and Information Sciences
Bio
Fawad Ahmad is an assistant professor in the Department of Computer Science at the Rochester Institute of Technology. He received his PhD and MSc degrees from the University of Southern California in 2022, and his BSc from the University of Engineering and Technology, Peshawar in 2014. His research interests are in mobile systems, computer vision, and robotics.
Select Scholarship
- AeroTraj: Trajectory Planning for Fast, and Accurate 3D Reconstruction Using a Drone-based LiDAR. Fawad Ahmad, Christina Shin, John D’Ambrosio, Eugene Chai, Karthik Sundaresan, and Ramesh Govindan. In Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (UbiComp/IMWUT 2023).
- UbiPose: Towards Ubiquitous Outdoor AR Pose Tracking Using Aerial Meshes. Weiwu Pang, Chunyu Xia, Branden Leong, Fawad Ahmad, Jeongyeup Paek, and Ramesh Govindan. In 29th Annual International Conference on Mobile Computing and Networking (ACM MobiCom 23) 2023
- CarMap: Fast 3D Feature Map Updates for Automobiles. Fawad Ahmad, Hang Qiu, Ray Eells, Fan Bai, and Ramesh Govindan. In 17th USENIX Symposium on Networked Systems Design and Implementation (NSDI 20)
Currently Teaching
CSCI-431
Introduction to Computer Vision
3 Credits
An introduction to the underlying concepts of computer vision. The course will consider fundamental topics, including image formation, edge detection, texture analysis, color, segmentation, shape analysis, detection of objects in images and high level image representation. Depending on the interest of the class, more advanced topics will be covered, such as image database retrieval or robotic vision. Programming homework assignments that implement the concepts discussed in class are an integral part of the course.
CSCI-739
Topics in Artificial Intelligence for Computer Scientists
3 Credits
This course examines current topics in Artificial Intelligence. This is intended to allow faculty to pilot potential new graduate offerings. Specific course details (such as prerequisites, course topics, format, learning outcomes, assessment methods, and resource needs) will be determined by the faculty member(s) who propose a specific topics course in this area. Specific course instances will be identified as belonging to the Artificial Intelligence cluster, the Computer Graphics and Visualization cluster, the Security cluster, or some combination of these three clusters.