Experience / CV

Environment-Aware Dynamic Partitioning (EADP)

• Developed a neural-network partitioning framework that selects edge-server execution strategies using profiled system costs under changing compute and network conditions.
• Implemented and evaluated partitioned YOLO inference on NVIDIA Jetson platforms, achieving up to 2.06× the baseline FPS on Jetson Orin Nano under thermal and network variability.
• Trained and evaluated multiple quantized YOLO models to compare against FP32 baselines on NVIDIA Jetson platforms.

Edge-Assisted Multi-Camera 3D Perception

• Developing a low-latency multi-camera system that uses 2D detections and camera geometry to estimate 3D position, dimensions, and orientation for situational awareness and safety monitoring.

Fully Onboard Robotic Perception and Language-Based Planning

• Developed an autonomous Unitree Go1 quadruped robot perception and planning stack using Jetson Orin Nano, running YOLO vision with a local Llama 3.2 model that converts natural language into high-level robot actions.
• Evaluated perception FPS and LLM planning latency across model sizes and TensorRT precision modes to identify real-time operating limits.

Approximately 55 students.

• Developed and taught lectures in Digital Electronics, C Programming, Microcontrollers, Edge AI, Computer Vision, Cybersecurity, and Robotics.
• Created hands-on labs in computer architecture, microcontrollers, NVIDIA Jetson Orin Nano, computer vision, AI training for concrete crack classification, AI-controlled robotics, and LLMs for scene recognition.

• ECE 6743 - Digital System Design: Fall 2024, Spring 2025, Fall 2025, Spring 2026 - 62 students
• ECE 6723 - Embedded Systems: Fall 2024, Spring 2025, Fall 2025 - 70 students
• ECE 3724 - Microprocessors: Spring 2024, Spring 2026 - 56 students
• ECE 3313 - Electromagnetics: Fall 2023 - 52 students

• Advising a University of Alabama senior capstone team developing an autonomous quadruped robotic system.
• Focus: Robotics, Embedded Computing, Perception, Application Development, and System Integration.

• Mentored undergraduate researchers on embedded AI, computer vision, and autonomous robotics projects, including implementation, experimentation, benchmarking, and data analysis.

• Prepared an undergraduate teaching assistant for C programming, electronics, microprocessors, edge devices, and machine learning.

• Participant in a faculty-development program covering teaching, academic career preparation, research communication, and faculty responsibilities.

• Developed a ROS 2 autonomous fixed-wing aircraft stack integrating software, controls, airframe, actuators, and avionics.
• Trained and deployed YOLOv8 on Jetson Xavier for onboard detection, localization, and autonomous payload delivery.

• Developed a portable duct leakage tester using a NOVENCO ZerAx AZL fan integrated with VFD, Raspberry Pi, wireless pressure sensors, and Qt software.
• Developed multiple embedded sensing solutions for the HVAC industry using Raspberry Pis, PLCs, and LoRa devices.