About Me

I am a 2nd-year Computer Science PhD student at the University of Florida advised by Dr. Sanjay Ranka. Currently, I am a research assistant in UF’s Transportation Institute where I work on next-generation intelligent transportation systems for autonomous vehicles. My interests lie broadly within theoretical and applied artificial intelligence and machine learning; at the moment, I am researching topics in deep reinforcement learning and multi-object tracking.

I’m also a McKnight Fellow; the McKnight Doctoral Fellowship program aims to address the under-representation of African American and Hispanic faculty in the state of Florida. I’m always looking for ways in which I can better promote diversity and inclusivity in the field of computing.


  • Learning Permutations with Sinkhorn Policy Gradient
    • Patrick Emami, Sanjay Ranka. Submitted to NIPS 2018. [arxiv]
  • Machine Learning Methods for Solving Assignment Problems in Multi-Target Tracking
    • Patrick Emami, Panos M. Pardalos, Lily Elefteriadou, Sanjay Ranka. Submitted to ACM Computing Surveys, 2018. [arxiv]
  • Tracking Vehicles Equipped with Dedicated Short-Range Communication at Traffic Intersections
    • Patrick Emami, Lily Elefteriadou, Sanjay Ranka. Seventh ACM International Symposium on Design and Analysis of Intelligent Vehicular Networks and Applications (DIVANet’17), 2017. [PDF]
  • POMDPy: An Extensible Framework for Implementing POMDPs in Python
    • Patrick Emami, Alan Hamlet, Carl Crane. 2015. [PDF][code]
  • The Cognitive Driving Framework: Joint Inference for Collision Prediction and Avoidance in Autonomous Vehicles
    • Alan Hamlet, Patrick Emami, Carl Crane. Fifteenth International Conference on Control, Automation, and Systems (ICCAS), 2015. [PDF]
  • A Gesture Recognition System for Mobile Robots That Learns Online
    • Alan Hamlet, Patrick Emami, Carl Crane. International Conference on Intelligent Robots and Systems (IROS), 2014. [PDF]


  • A Demonstration of Fusing DSRC and Radar for Optimizing Intersection Performance
    • Patrick Emami, Mahmoud Pourmehrab, Lily Elefteriadou, Sanjay Ranka, Carl Crane. Automated Vehicles Symposium (AVS), 2017. [Abstract]


  • Deep Reinforcement Learning: An Overview
    • UF Informatics Institute Student Data Analysis Seminar. February 23rd, 2018. [Slides]
  • Introduction to Deep Learning
    • UF Informatics Institute Student Data Analysis Seminar. September 7th, 2017. [Slides]

As a researcher, either you won’t understand something and you will feel stupid and like a worm, or you will understand something and think it’s too trivial and hence still feel like a worm - Simon Peyton Jones

Contact me at: pemami at ufl dot edu.