Omer Abdul Jalil

Omer, passionate and determined to explore the field of Machine Learning, joined CITY right after graduating from LUMS in June’23. At CITY he has developed various solutions in our Vision in Mobility thread. Along with development he has continued to research in the field. With a passion for working towards robust and generalizable algorithms, he has focused on foundation models, and self-supervised techniques.

Research Assistant

  • Vehicle Counts from Traffic Cameras
  • Customer Counts in Stores
  • Average Speed Enforcement System
  • Smart Parking Solution
  • Modeling for Climate Risk Assessment
  • Techniques for Robust Feature Learning