About Me
Ph.D. student from New York University, following Prof. Anthony Tzes, expected to graduate in spring, 2023, with experience in developing machine learning models for mobile applications. Adept in various programming languages such as C++, Python, PyTorch, and TensorFlow. Experience in computer vision with publications at top AI & CV conferences. Strong analytical and problem-solving skills, with a passion for staying with cutting-edge advancements in the field.
Download my resumé.
Interests
- Visual Perception of Mobile Robots
- Real-Time Object Detection & Tracking
- Edge Devices Computation
- Depth Estimation
Education
PhD in Computer Science, 2018
New York University/ New York University Abu Dhabi
MS in Computer Science, 2016
New York University
BSc in Information and Computing Science, 2011
Minzu University
News
- 11-2022: Our paper done during internship is accepted by AAAI 2023
- 06-2022: Starting my internship at OPPO US research in San Jose.
- 04-2022: Our Paper titled “Siamese Adaptive Transformer Network for Real-Time Aerial Tracking” has been accepted to ICUAS2022.
- 04-2022: Our Paper titled “Drone Surveillance using Detection, Tracking and Classification Techniques” has been accepted to ICIAP2022 workshop.
- 03-2022: Our real-time drone visual surveillance system won 2nd place in “Drone Vs Bird Challenge 2022”!
- 02-2022: Our Paper titled “A Siamese Network for Real-Time Object Tracking on CPU” has been accepted to Software Impact Journal.
- 11-2021: I gave a guest lecture on Real Time Object Detection with YOLOv1 to YOLOv5: Introduction for NYUAD ENGR-UH 4330 Robotics
- 10-2021: Our Paper titled “Mechatronic design of a delivery octorotor drone” has been accepted to ICARA2022.
- 09-2021: Our Paper titled “Siamese Transformer Pyramid Networks for Real-Time UAV Tracking” has been accepted to WACV2022.
- 09-2021: We won the 1st prize award in the drone category during the 2021 Dubai World Challenge competition.
- 04-2021: We have two papers titled “Computationally Efficient RGB-T UAV Detection and Tracking System” and “Deep learning assisted visual tracking of evader-UAV” have been accepted to ICUAS2021.