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 is motivated by a desire to understand human intelligence and to develop machines that can learn like us. I research neural algorithms for analyzing and generating multi-object spatiotemporal visual data. I also collaborate on inter-disciplinary projects where I apply machine learning to transportation engineering and cybersecurity.

I’m a Florida 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 and resume. I am currently looking for internships for Summer 2021.

Contact: pemami[at]ufl[dot][edu]

News

  • November 2020 An article on my work on efficient multi-modal deep learning for object tracking at urban traffic intersections has been featured in the UF Transportation Institute newsletter/homepage
  • November 2020 My paper “A Symmetric and Object-Centric World Model for Stochastic Environments” has been accepted as an Oral (5/20) at the NeurIPS Object Representations for Learning and Reasoning workshop!
  • October 2020 I have been awarded the STRIDE 2020 Student of the Year Award!

Recent publications

See my CV for a complete list.

  • Long-range Tracking of Vehicles at Traffic Intersections Without a GPU
    • Patrick Emami, Lily Elefteriadou, Sanjay Ranka. IEEE Transactions on Intelligent Transportation Systems. 2021. Submitted.
  • A Symmetric and Object-Centric World Model for Stochastic Environments
    • Patrick Emami, Pan He, Anand Rangarajan, Sanjay Ranka. NeurIPS Workshop on Object Representations for Learning and Reasoning. Oral (5/20). 2020. [pdf][webpage][code][poster]
  • On the Detection of Disinformation Campaign Activity with Network Analysis
    • Patrick Emami*, Luis Vargas*, Patrick Traynor (*Equal contribution). 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]

Presentations

  • A Symmetric and Object-Centric World Model for Stochastic Environments
    • NeurIPS Workshop on Object Representations for Learning and Reasoning. Oral. December 11, 2020. [Slides]
  • 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