Ph.D., Electrical Engineering, LSU
M.S., Mechanical Engineering, LSU
Hello, I am
I am an Electrical Engineer with background in Computer/Machine Vision systems, Robotics, Controls & Machine learning. I have experience in developing real-time machine automation, perception, and embedded solutions for robotic platforms, intelligent transportation systems, and industrial inspection. Experienced in Python, MATLAB/Simulink, C++ programming, sensor fusion, and ROS/Linux platforms. In my free time, I enjoy travelling, photography, and exploring new technologies.
Interests
May 2026
Louisiana State University, Baton Rouge, LA
Courses: Computer Vision, Machine Learning, Optimization Algorithms, Adaptive Control & Reinforcement Learning
July 2021
Louisiana State University, Baton Rouge, LA
Courses: Industrial Robotics, Control System Design, Advanced Linear Systems
January 2017
Military Institute of Science & Technology, Dhaka, Bangladesh
May 2025 – August 2025
Laitram Machinery, New Orleans, LA
August 2021 – May 2026
Electrical Engineering Dept., Louisiana State University
August 2019 – July 2021
Mechanical & Industrial Engineering Dept., Louisiana State University
LADOTD · LTRC · 2024–2025
End-to-end deep learning + rule-based vision pipeline for vehicle detection, tracking & trajectory extraction, speed estimation, turn count & queue estimation; traffic light detection from multi-camera feedback. Automated traffic analytics with ~70% reduction in manual efforts.
Code repository to be released
Internship · Laitram Machinery · 2025
Real-time foreign material detection algorithm using Deep learning-based Global Context Anomaly detection + Heuristic feature engineering on a GigE line-scan camera+ PLC controlled automated conveyor inspection R&D unit. Accuracy 95%+ at ~10 ms/frame.
Proprietary industry project
Tran-SET · 2022–2023
Deep-learning-based traffic light detection and classification for AV perception/ADAS applications. Edge-deployed models; Low-light accuracy improvements; Benchmark datasets modifications. Real-time latency.
Code repository to be released
Tran-SET · LTRC · 2022–2023
Advisory vehicle speed generation for non-stop green signal crossing using Optimal Control strategy— reduction in SUMO simulated congestion delay & vehicle fuel consumption at different CAV Market Penetration Rates.
MS Thesis · NASA LaSpace · 2019–2021
Optimized decentralized closed-loop control logic and communication latency for multi-robot coordination. ~0.1% error margin versus camera-feedback global localization.
Ongoing
A curated collection of control engineering coursework, notes, and MATLAB/Simulink projects covering classical and modern control theory.
T. Sarker, X. Meng, M. Moomen, and J. A. Codjoe, “Vision-Based Hybrid Framework for Vehicle Turn Movement Classification and Counting at Road Intersections,” IEEE Intelligent Transportation Systems Magazine, 2026. Submitted
M. Moomen, X. Meng, T. Sarker, J. B. Essuman, and C. Addo, “Improved Signalized Intersection Performance Using Computer Vision and Artificial Intelligence,” Louisiana Transportation Research Center, Special Studies, Report No. FHWA/LA.26/724 , 2026.
T. Sarker and X. Meng, “Traffic Signal Detection and Recognition Algorithms for Autonomous Vehicles: A Brief Review,” ASCE Journal of Transportation Engineering, Part A: Systems, 2024.
X. Meng and T. Sarker, “Eco-Driving of Connected and Autonomous Vehicles Approaching and Departing Signalized Intersections,” Louisiana Transportation Research Center, Project No. 22ITSLSU41 , 2024.
T. Sarker and X. Meng, “Traffic Signal Recognition Using End-to-end Deep Learning,” Tran-SET 2022, pp. 182–191, Austin, TX.
N. Saaquib, T. Sarker, N. Rahman, L. E. Khan, and P. K. Saha, “Design and Development of a Wide Band Monopole Blade Antenna for Aircraft Navigation and Communication,” 2017 6th International Conference on Informatics, Electronics & Vision (ICIEV), 2017.
T. Sarker, P. Hannan, S. A. Shahed, N. Rahman, and S. N. Sakib, “Conceptual Design of a Low Cost Flight Data Acquisition System for Analyzing Flight Behavior of Small Unmanned Aerial Vehicles,” 2016 19th International Conference on Computer and Information Technology (ICCIT), 2016.
The best way to reach me is by email. I'm also on GitHub and LinkedIn.