About Me

I am a Computer Science PhD student at the University of Florida advised by Dr. Sanjay Ranka and Dr. Anand Rangarajan. My research interests are motivated by a desire to understand human intelligence and develop machines that can learn like us. Lately, I’ve been working on multi-object spatiotemporal problems in computer vision.

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.

Here’s my CV.

Recent publications

See my CV for a complete list.

  • On the Detection of Disinformation Campaign Activity with Network Analysis
    • Patrick Emami*, Luis Vargas*, Patrick Traynor (*Equal contribution). To appear at CCSW 2020: The ACM Cloud Computing Security Workshop. 2020. [arxiv]
  • Machine Learning Methods for Data Association in Multi-Object Tracking
    • Patrick Emami, Panos M. Pardalos, Lily Elefteriadou, Sanjay Ranka. ACM Computing Surveys, 53, 4, Article 69 (August 2020). [arxiv][ACM Digital Library]
  • A Comparison of Intelligent Signalized Intersection Controllers Under Mixed Traffic
    • Patrick Emami, Mahmoud Pourmehrab, Marilo Martin-Gasulla, Sanjay Ranka, Lily Elefteriadou. IEEE Intelligent Transportation Systems Conference, 2018. [IEEE Xplore]
  • Learning Permutations with Sinkhorn Policy Gradient


  • 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]


  • Machine Learning in Intelligent Transportation Systems
    • UF Informatics Institute Student Data Analysis Seminar. September 6th, 2018. [Slides]
  • 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.