Hamad Ahmed

Hamad Ahmed is a research engineer at Phiar, where they focus on perception. Hamad has also worked as a research assistant at Purdue University, Lahore University of Management Sciences, and University of Engineering and Technology, Lahore.

Ahmed has experience with developing Kalman filters for accurate localization of vehicles without a GPS and for accurate estimation of body pose using cheap IMU sensors. Hamad also devised an SVM-based word-sense disambiguator and planned and wrote funding proposals for an automatic machine translation system.

Ahmed’s research interests include signal processing, machine learning, and artificial intelligence. Hamad holds a bachelor’s degree in electrical engineering from University of Engineering and Technology, Lahore.

Hamad Ahmed has a PhD from Purdue University in Artificial Intelligence, which they completed in 2021. Theircoursework included advanced image processing, convex optimization, algorithms, artificial intelligence, and statistics. Hamad also has a bachelor's degree in electrical, electronics, and communications engineering from the University of Engineering and Technology in Lahore, which they completed in 2015.

The team of Hamad Ahmed, Research Engineer, Perception, is composed of James Briscoe, Lan Le, Patrick Brennan, Houssam Assany, Yi-Hsuan Tsai, and Eugene Zimin.