Work & Research

Work Interests:

My professional experience is focused on applications of 3D computer vision and multi-view geometry in solving real-world problems such as camera localization, stereo vision and geometry acquisition. More specifically, I have been working on the problem of localizing a single camera to high definition (HD) maps for autonomous vehicles. See below for short videos of our work.

 

I enjoy coding in C++ and use it on a daily basis for writing production code for safety-critical and resource constrained systems (read: self-driving cars!). I have extensive prior work experience with C# and Java. More recently, I’ve picked up Python and primarily use it for prototyping ideas and my day-to-day research in deep learning (see below).

Research Interests:

My primary research interests lie in human-computer interaction (HCI) and computer vision. My PhD dissertation is focused on intuitive, yet fast and efficient recurrent neural networks (RNN) for gesture recognition, as well as generative adversarial networks (GANs) for synthetic gesture generation.

Previously, my research at UCF was focused on leveraging sketch-based interfaces to support various robotic manipulation tasks. Our goal was to explore how sketch-based interfaces could be used to assist robots through geometry extraction, behavior modification, and guided autonomy. This research was supported by NSF Award IIS-1638060.

Education:

  • (2019) PhD Candidate, University of Central Florida (Orlando, FL, USA)
  • (2017) Master of Science in Computer Science (MS along the way), University of Central Florida (Orlando, FL, USA)
  • (2014) Master of Science in Computer Science, Brock University (St. Catharines, ON, Canada)
  • (2011) Bachelor of Science in Software Engineering, Sheikhbahaee University (Esfahan, Esfahan, Iran)

Professional Experience:

  • (Since 2019)  Senior DriveWorks Computer Vision Engineer, NVIDIA Corporation
  • (2017-2019)  DriveWorks Computer Vision Engineer, NVIDIA Corporation
  • (2016)  Computer Vision Developer Technology Intern, NVIDIA Corporation

Patents:

  • (2018) Eugene M. Taranta II, Mehran Maghoumi, Corey Pittman, Joseph J. LaViola Jr. “Synthetic Data Generation of Time Series Data”, US Patent 10,133,949

Publications:

Theses:

  • (2014) Real-time Automatic Object Classification and Tracking using Genetic Programming and NVIDIA CUDA, M.Sc. thesis
    [Project Page]
  • (2011) Implementation of a Fuzzy Decision Making Unit for the Nao Robot, undergraduate thesis, supervisor: Dr. Nasser Ghasem-Aghaee

Teaching Experience:

  • (2014) CDA 3103 – Computer Logic and Organization
  • (2014) CNT 3004 – Computer Networks
  • (2014) COSC 1P03 – Data Structures and Abstraction
  • (2013) COSC 3P98 – Computer Graphics
  • (2013) COSC 3P01 – Introduction to Computer Networking
  • (2012) APCO 1P01 – Applied Computing and Fluency with Technology
  • (2012) COSC 1P02 – Introduction to Computer Science

Awards and Honors: