Hamid Habib Syed

Ph.D. Scholar, Deep Learning Researcher, Computer Vision, Robotics, Generative AI.

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  • Education
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    About Me

    Hi, I'm Hamid Habib Syed

    Ph.D. candidate at Auburn University with expertise in AI, computer vision, and robotics. Experienced in UAV/UGV systems, digital twins, and deep learning pipelines. Recognized through awards such as the Highest Productivity Award at the International Farm Robotics Challenge, NASA AgAir Competition Finalist, and the FFAR Fellowship, with multiple publications and conference presentations.

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    Skills

    Python

    90

    Matlab

    70

    C & C++

    60

    LaTeX

    90

    Linux

    80

    JupyterLab

    80

    Pycharm

    80

    Visual Studio Code

    80

    Proteus

    80

    PSpice

    70

    OpenCV

    80

    NumPy

    90

    Pandas

    80

    Matplotlib

    80

    Tensorflow object detection API

    80

    Scikit-learn

    70

    NVIDIA Omniverse

    80

    NuRec

    80

    Pix4DMapper

    95

    DJI Terra

    90

    Agisoft

    85

    ArcGIS Pro

    85

    NVIDIA's Jetson (Orin)

    85

    NVIDIA's GeForce RTX

    85

    Micro Controller 8051

    75

    Esp 702 Micro Controller

    60

    Deep Learning

    100

    Computer Vision

    100

    Robotics

    100

    Generative AI

    100

    Precision Agriculture

    100

    Applications of Deep Learning in Engineering

    100

    Education

     
     
     
     
     

    Ph.D. in Biosystems Engineering (Precision Agriculture)

    Auburn University, Alabama, USA
    CGPA: 3.86 / 4.0

    May, 2023 — Continued

     
     
     
     
     

    Master of Science (M.S.) in Data Science and Engineering

    Department of Computer Science and Software Engineering, Auburn University, Alabama, USA
    CGPA: 3.71 / 4.0

    May, 2023 — December, 2025

     
     
     
     
     

    Masters of Science in Electrical and Computer Engineering MSEE (AI, Machine Learning & Computer Vision)

    Air University Islamabad, Main Campus, Islamabad, Pakistan
    CGPA: 3.52 / 4.0

    September, 2020 — December, 2022

     
     
     
     
     

    Bachelor of Science in Electrical Engineering BSEE

    University of Engineering & Technology Peshawar, Main Campus, Pakistan
    CGPA: 3.62 / 4.0

    September, 2016 — October, 2020

     
     
     
     
     

    HSSC - Pre Engineering

    Cadet College Swat, Swat, Pakistan
    Grade: 88 % with Distinction

    2014 — 2016

    Experience

     
     
     
     
     
    Auburn University
    Graduate Research Assistant

    Auburn, AL, USA

    • Researching AI integration in Agriculture Inventory Management.
    • Ornamental Plant Inventory Management: Plant counting, quality estimation, domain adaptation.
    • Hyperspectral imagery-based biomass estimation.
    • Mapping efficiency, drone height optimization, sprayer boom/load limits testing.
    • Developing dynamic unmanned ground vehicle (UGV) for spraying.
    • Spray penetration, height range, area coverage testing.
    • Developing dynamic unmanned ground vehicle (UGV) for spraying.
    • Weed Species Detection and Classification using UAV.
    • Aerial sensor–based estimation under different fertilizer treatments.

    May 2023 — Continued

     
     
     
     
     
    Auburn University Department of Biosystems Engineering
    Graduate Teaching Assistant

    Auburn, AL, USA

    • Responsible for conducting laboratory experiments.
    • Monitored instrumentation and control projects of undergraduates.

    January 2025 — May 2025

     
     
     
     
     
    Ai-OPs
    Machine Learning Engineer (Intern)

    Mobile, AL, USA

    • Research and development in AI-driven control systems for industrial equipment.
    • Research on Proximal Policy Optimization and Multi-Agent Learning.
    • Integrated PPO with tank level control simulator for applied RL experiments.
    • Optimized RL training stability and efficiency using novel strategies.
    • Conducted multi-agent learning experiments for industrial control tasks.
    • Troubleshot complex simulation and algorithm integration challenges.
    • Collaborated in a team environment, contributing to design reviews and iterative improvements.

    May 2024 — August 2024

     
     
     
     
     
    Data Point (Private) Limited
    Deep Learning Engineer

    Islamabad

    • Working on Pavement Crack detection which recognizes various types of Road Cracks - A project by National Highway Authority (NHA), Pakistan.
    • Built Deep Learning Based Road Traffic Analytics system to classify vehicles on the basis of axle-load - A project by National Highway Authority (NHA), Pakistan.
    • Collection of pavement footage using drones, static digital cameras and its annotation.
    • Training different deep learning based object detection models and tracking cracks and vehicles.
    • Integrating trained model in a website and marking the detected crack coordinates on the google map.
    • Intelligent surveying solutions for construction industry.

    August 2022 — April 2023

     
     
     
     
     
    Air University Islamabad
    Research Assistant

    Islamabad

    • Worked on different image processing techniques.
    • Used different Machine learning algorithms for classification.
    • Performed Intensity transformation techniques by applying dynamic range expansion, contrast stretching and histogram equalization.
    • Performed the implementation of Edge Detectors(Sobel, Prewitt and Canny).
    • Performed the implementation of Marr Hildreth filter with combine and separate Gaussian filter.
    • Worked on Optical flow, Hough transform, depth estimation and image segmentation models.
    • Worked on Synthetic data generation, training different regression and classification based models.
    • Hands-on experience on Transfer learning and fine tuning.
    • Training detector and inferencing it on video footage.
    • Optimized Tracking based on detection.
    • Developing and training Resnet16 classifier from scratch.

    September 2020 — September 2022

    Projects

     
     
     
     
     
    Ornamental Nursery Inventory Management System
    Ph.D. Research Project
    • Developing an Unmanned Ground Vehicle (UGV) based data collection and analysis pipeline.
    • Building deep learning and statistics-based models for plant counting and quality assessment.
    • Integrating NVIDIA Omniverse and NuRec to generate synthetic nursery environments.
    • Tools: NVIDIA GeForce RTX 4080, Computer Vision, Deep Learning, Machine Learning, Robotics, Generative AI, NVIDIA Omniverse, NuRec, Domain Adaptation.

    2023 — 2025

    Click for more details

     
     
     
     
     
    UAV-based Weed Detection System
    Ph.D. Research Project
    • Collecting and analyzing data using Phantom4M and Mavic3M UAVs.
    • Building a digital twin pipeline to generate synthetic datasets for agricultural vision systems.
    • Generating photogrammetry and processing multispectral imagery using deep learning techniques.
    • Tools: NVIDIA GeForce RTX 4080, DJI Mavic3M, DJI Phantom4M, Pix4DMapper, Agisoft, Computer Vision.

    2023 — 2025

    More on GitHub

     
     
     
     
     
    UAV and UGV-based Smart Spraying System
    Ph.D. Research Project
    • Generating spray paths using multiple camera modalities and software tools.
    • Implementing smart spraying via embedded systems and deep learning-based object segmentation models.
    • Tools: NVIDIA GeForce RTX 4080, DJI T-40, XAG-150, Computer Vision.

    2023 — 2025

    Click for more details

     
     
     
     
     
    Cover Crops Vegetation and Biomass Estimation
    Ph.D. Research Project
    • Estimating vegetation indices for Crimson and Oats using a ground robot.
    • Estimating mixture biomass using hyperspectral imagery.
    • Tools: NVIDIA GeForce RTX 4080, NVIDIA Jetson Orin, Living Optics Camera, Computer Vision, Python.

    2023 — 2025

    More on GitHub

     
     
     
     
     
    Applied Reinforcement Learning for Industrial Control
    Corporate Project - AI-Ops Summer Internship
    • Developed a Proximal Policy Optimization (PPO) library integrated with a tank-level control simulator.
    • Designed modular RL components for training and evaluation, improving stability and efficiency.
    • Applied multi-agent reinforcement learning techniques and troubleshooting of complex simulations.
    • Documented results and contributed to a reusable RL framework for future AI-Ops research. Collaborated with team members, participated in design reviews, and iterated solutions effectively.
    • Tools: NVIDIA GeForce RTX 4080, Reinforcement Learning, Python.

    2024

    Click for more details

     
     
     
     
     
    Development of Deep Learning based Pavement Condition Index, Survey, GIS mapping, and reporting of 5000 kms of roads in Khyber Pakhtunkhwa.
    Corporate Project
    • Development of a deep learning-based pavement condition index (PCI) for assessing the condition of roads in Khyber Pakhtunkhwa, Pakistan.
    • Use of advanced technology and techniques, such as machine learning algorithms, to automate and streamline the road surveying process.
    • Collection of data on 5000 km of roads in Khyber Pakhtunkhwa using various survey methods, such as visual inspection, pavement distress survey, and roughness measurement.
    • Use of GIS mapping technology to analyze and visualize the collected data, allowing for efficient identification of problematic areas and prioritization of maintenance and repair efforts.
    • Development of a comprehensive report detailing the current condition of the roads surveyed, as well as recommended strategies for improving road quality and ensuring safe and efficient transportation.
    • Tools: Machine 3090 Ti, OpenCV, Python, PyTorch, Tensorflow, Numpy

    2020 — 2021

    More on GitHub

     
     
     
     
     
    Deep Learning Based Road Traffic Analytics system to classify vehicles on the basis of axle-load
    Corporate Project
    • Development of a deep learning-based system for analyzing road traffic and classifying vehicles based on their axle-load, which can help to identify overloading and prevent damage to roads and bridges.
    • Collection and annotation of diverse novel dataset which consists of 33 different classes. This is the most diverse dataset in Pakistan for vehicle type recognition.
    • Learning algorithms, to automate and streamline the vehicle classification process.
    • Implementation of the system at strategic locations, such as toll booths or weigh stations, to collect data on vehicle traffic and ensure compliance with weight limits.
    • Use of the collected data to generate reports and visualizations that provide insights into traffic patterns, overloading trends, and other factors that may impact road safety and maintenance.
    • Tools: Machine 3090 Ti, OpenCV, Python, PyTorch, Tensorflow, Numpy

    2021

    More on GitHub

     
     
     
     
     
    Exploring a 3D Latent Feature Space Embedding, for Person Re-identification
    MS Thesis Project
    • Explored 3D latent Space.
    • Transformed 2D images into 3D.
    • Used 3D Images embedding for person Re-Identification.
    • Proposed a Novel Method to attempt the Person Re-Identification in 3D which mimic the Human Brain functionality.
    • Provided experimental setup that how we can test our model on the datasets and time efficient appreciable results on single and few shot images.
    • Tools: Machine 2070 Ti, OpenCV, Python, SMPL, Numpy, Pandas

    2021

    More on GitHub

     
     
     
     
     
    Non Isolated Bi-Directional DC to DC converter with High Voltage Gain Ratio
    BS Final Year project
    • Development of a non-isolated Bi-Directional DC to DC converter that can efficiently transfer power between two DC sources with different voltage levels and polarities.
    • High voltage gain ratio, which allows for more efficient power transfer over longer distances or between sources with large voltage differentials.
    • Use of advanced Control Algorithms to regulate the flow of power between the sources, ensuring safe and efficient operation.
    • Tools: Matlab, Proteus, PSIM, DC Supply

    2016

    More on GitHub

    Publications

     
     
     
     
     
    Forecasting Growth Dynamics of Hydroponic Kale in Controlled Environment Agriculture through Vision-Based Phenotyping and Time-Series Modeling
    Smart Agricultural Technology

    May 2025

    • Status: Published

    Article   GitHub

     
     
     
     
     
    Exploring 3D Latent Feature Embedding for few and Single-Shot Unsupervised Person Re-Identification
    Sensors International

    January 2025

    • Status: Under Review

    Preprint   GitHub

     
     
     
     
     
    3D Human Reconstruction with Corresponding 3D Texture Model: A Comparison of Salient Approaches
    INTERNATIONAL CONFERENCE ON EMERGING TECHNOLOGIES IN ELECTRONICS, COMPUTING AND COMMUNICATION (ICETECC)

    December 2022

    • Status: Published

    Article   GitHub

    Awards, Grants & Honors

     
     
     
     
     
    National Aeronautics and Space Administration (NASA), U.S., 2025
    Finalist in NASA AgAir Competition and a stipend of $9000
     
     
     
     
     
    International Farm Robotics Challenge, U.S., 2024
    Excellence in Productivity Award at the Farm Robotics Challenge at FIRA - World Ag Robotics Forum and a cash prize of $5000
     
     
     
     
     
    FFAR, U.S., 2024 - 2027
    Recipient of Foundation for Food & Agriculture Research (FFAR) Fellowship
     
     
     
     
     
    Auburn University Alabama, U.S., 2024
    Winner of Poster Competition at “Data Science and AI in Production Agriculture” and a cash prize of $500
     
     
     
     
     
    Auburn University Alabama, U.S., 2024
    Winner of Poster Competition at “Data Science and AI in Production Agriculture” and a cash prize of $500
     
     
     
     
     
    Auburn University Alabama, U.S., 2024
    Winner of Auburn Research Symposium Oral Presentation and a cash prize
     
     
     
     
     
    American Society of Agricultural and Biological Engineers, U.S. - Canada 2024
    Declared and Certified as a Member of Alpha Epsilon (The Honor Society of Biological Engineering)
     
     
     
     
     
    Auburn University Alabama, U.S., 2024
    Nominated for Graduate School Merriwether Fellowship Award
     
     
     
     
     
    Auburn University Alabama, U.S., 2023
    Winner of Graduate Student Poster Competition
     
     
     
     
     
    Air University Islamabad 2020-21
    Merit based Full Fee Waivership for Masters and Research Assistantship
     
     
     
     
     
    Natural Resources Sector - 2021
    Provincial Level Winner of National Idea Bank Competition
     
     
     
     
     
    BISESS 2016-2020
    Recipient of National Talent Scholarship
     
     
     
     
     
    Cadet College Swat 2014-16
    Merit Based Tuition Fee Waivership

    Languages

     
     
     
     
     
    Professional
    English
    Listening 6.5
    Reading 7.0
    Writing 6.0
    Speaking 6.0
    Overall: 6.5
     
     
     
     
     
    National Language
    Urdu
     
     
     
     
     
    Native Languuage
    Pashto

    Additional Courses, Certifications, and Workshops

     
     
     
     
     
    International Symposium on Robotics & Automation
    International Society of Precision Agriculture

    2024

     
     
     
     
     
    Verma Graduate Student Leadership Workshop
    Auburn University

    2024

     
     
     
     
     
    Certified UAV Remote Pilot (Federal Aviation Association)
    U.S. Department of Transportation

    2023

     
     
     
     
     
    Ultimate Python Bootcamp for Data Science & Machine Learning
    Udemy

    2022

     
     
     
     
     
    Crash Course on Python
    Coursera — offered by Google

    2021

     
     
     
     
     
    CS231n
    Coursera — offered by Standford

    2020

     
     
     
     
     
    Deep Learning Specialization
    Coursera — offered by deeplearning.ai

    2020

     
     
     
     
     
    Microsoft Certified Technology Spcialist: Office SharePoint Server 2007, Configuring (MCTS)
    Microsoft

    2018

    References

     
     
     
     
     
    Dr. Tanzeel Rehman
    Assistant Professor
    Department of Biosystems Engineering
    Auburn University, Alabama, USA

    Email: tur0001@auburn.edu

     
     
     
     
     
    Curtis Wright
    Co-Founder
    Machine Learning Engineer
    Ai-OPs, Mobile, Alabama, USA

    Email: cwright@ai-op.com

     
     
     
     
     
    Dr. Ashfaq Ahmad
    Assistant Professor
    Department of Electrical and Computer Engineering (Stanford's World Top2% Scientist)
    Air University Islamabad, Main Campus, Pakistan

    Email: Ashfaq.Ahmad@mail.au.edu.pk

     
     
     
     
     
    Dr. Muhammad Habib Mahmood
    Assistant Professor & Principal Data Scientist
    Department of Electrical and Computer Engineering | Teradata
    Air University Islamabad, Main Campus, Pakistan

    Email: Habib@mail.au.edu.pk mhabib82@hotmail.com

     
     
     
     
     
    Dr. Fiaz Ahmad
    Associate Professor
    Department of Electrical and Computer Engineering
    Air University Islamabad, Main Campus, Pakistan

    Email: Fiaz.Ahmad@mail.au.edu.pk

    My GitHub

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    Contact

    HamidSyed298@gmail.com
    GitHub: @HamidSyed298
    Facebook: @hamid.habibsyed
    +1 334 7341021
    Linkedin: @hamid-habib-syed-74004815a

    Auburn, AL, USA