Fawad Ahmad Headshot

Fawad Ahmad

Assistant Professor

Department of Computer Science
Golisano College of Computing and Information Sciences

Office Hours
Tue-Thur: 2-3 pm
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

  • Fawad Ahmad, Hang Qiu, Ray Eells, Fan Bai, and Ramesh Govindan. “CarMap: Fast 3D Feature Map Updates for Automobiles.” In 17th USENIX Symposium on Networked Systems Design and Implementation (NSDI 20)
  • Hang Qiu, Fawad Ahmad, Fan Bai, Marco Gruteser, and Ramesh Govindan. “AVR: Augmented Vehicular Reality.” Proceedings of the 16th ACM International Conference on Mobile Systems, Applications, and Services (MobiSys’18), June 2018. Best paper runner-up
  • Fawad Ahmad, Sahibzada Ali Mahmud, and Faqir Zarrar Yousaf. “Shortest Processing Time Scheduling to Reduce Traffic Congestion in Dense Urban Areas.” IEEE Transactions on Systems, Man, and Cybernetics: Systems 47, no. 5 (2017): 838-855.

Currently Teaching

CSCI-739
3 Credits
This course examines current topics in Intelligent Systems. 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 Intelligent Systems cluster, the Computational Vision and Acoustics cluster, the Security cluster, or some combination of these three clusters. Course offered every other year.
CSCI-759
3 Credits
This course examines current topics in Systems. 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 Distributed Systems cluster, the Architecture and Operating Systems cluster, the Security cluster, or some combination of these three clusters.