CV

Below is my updated CV, also attached in .pdf format.

Contact Information

Name Muhammad Turab
Professional Title PhD Researcher
Email turabbajeer202@gmail.com
Location , Dublin,

Professional Summary

I specialize in audio/speech recognition, image processing, LLMs, and agentic AI-based methods, with hands-on experience developing agentic AI applications for various use cases.

Experience

  • 2025 - Present

    Dublin, Ireland

    PhD Researcher in Explainable Medical Imaging
    Dublin City University
    Developing neuro-symbolic methods in medical imaging to make neural network decisions more explainable and transparent.
    • Develop neurosymbolic-based methods for explainability and transparency in medical imaging.
  • 2025 - Present

    Saint-Etienne, France

    Master's Thesis Student
    Laboratory Hubert Curien, University of Jean Monnet
    Research on 3D pose estimation, 3D scene reconstruction, and movement analysis of dancers.
    • 3D pose estimation and human body modeling of dancers.
    • 3D scene reconstruction to estimate the floor on which dancers are moving.
    • Movement evaluation using trajectories of joints/bodies.
    • Developed novel feature descriptors for movement description and analysis.
    • Evaluated feature descriptors using ML and explainability (SHAP, LIME).
    • Investigated space usage, movement quality, and joint initiation.
  • 2024 - 2024

    Norway

    Research Intern
    Colourlab, NTNU
    Colorization of old black-and-white negative films using generative AI (Pix2Pix-based GAN) and custom palette matching.
    • Built a Pix2Pix-based GAN workflow for film colorization.
    • Developed palette matching with super-pixel segmentation and color transfer.
    • Reported performance surpassing DeOldify on tested material.
    • Tested on a painting from the 1930s with promising results.
  • 2022 - 2023

    Ireland

    Research Intern
    University of Galway
    Audio classification research: preprocessing, augmentation, multi-feature selection, and robustness improvements.
    • Integrated 5 data augmentation methods; reduced overfitting by 15%.
    • Developed multi-feature selection algorithm combining 5 spectral/temporal features; improved accuracy by 12%.
    • Developed AudRandAug augmentation technique (weighted and non-weighted strategies).
  • 2022 - 2022

    Pakistan

    Research Assistant
    Department of Computer Systems Engineering, MUET
    Research on forged character detection in personal documents and dataset generation.
    • Worked on forged character detection for passports and driver’s licenses.
    • Developed synthetic datasets and ML/DL methods for forgery detection.
    • Released three public datasets (15,000 images each).

Education

  • 2024 - 2024

    Oxfored, UK

    Summer School
    University of Oxford and AI for Global Goals
    Oxford Machine Learning Summer School
    • Statistical and Probabilistic Machine Learning; Representation Learning (Generative AI); Geometric Deep Learning
    • Gained insights into Computer Vision, NLP, LLMs, Knowledge Graphs, and Neuro-Symbolic AI.
  • 2023 - 2025

    Norway, France, Finland

    Joint Master's Degree
    Erasmus Mundus Joint Masters Degree Program
    Computational Color and Spectral Imaging
    • Image Processing; Machine Learning; Computer Vision; Deep Learning; Color Science; Spectral Imaging; Hyperspectral Imaging
    • Relevant coursework in imaging, ML, and spectral/color science.
  • 2018 - 2022

    Hyderabad, Pakistan

    B.E.
    Mehran University of Engineering & Technology (MUET)
    Computer Systems Engineering
    • OOP; Databases; Data Structures & Algorithms; Operating Systems; DBMS; Web Engineering; Machine Learning; Data Mining; Advanced Data Structures & Algorithms; Image Processing
    • Undergraduate degree in Computer Systems Engineering.

Awards

Publications

Skills

Core Expertise (): Computer vision, medical imaging, image/video/scene understanding, LLMs, LangChain, LangGraph, image quality assessment, image/video restoration, eXplainable AI, domain generalization, fairness
Languages & Tools (): Python, Java, JavaScript, Matlab, Numpy, Pandas, OpenCV, Scikit-Learn, Tensorflow, Keras, Matplotlib, Seaborn

Languages

English :

Interests

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Certificates

Projects

  • 3D Reconstruction of Static Scenes from Multiview Images

    3D reconstruction pipeline using multiview geometry and deep learning baselines.

    • Camera calibration, SIFT+FLANN matching, stereo rectification, disparity mapping, depth estimation.
    • Used Semi-Global Block Matching (SGBM) for improved disparity maps.
    • Experimented with classical methods and DUST3R.
    • Generated 3D point clouds and compared multiview results.
  • Real-time Virtual Object Insertion via Depth Estimation and Environment Mapping

    Realistic object insertion using depth estimation, environment/light estimation, and inpainting.

    • Used DistDepth, DPT, DepthAnything, ZoeDepth.
    • Depth + lighting for scaling/placement realism.
    • Iterative inpainting and DiffusionLight for integration realism.
    • Improved performance and visual quality vs traditional techniques.
  • Image Signal Processing Approaches for Low-Illumination Image Enhancement

    Survey/review of low-light image enhancement methods.

    • Analyzed traditional denoising and automatic white balancing.
    • Reviewed deep learning approaches (CNNs, GANs) and hybrid methods.
    • Compared strengths/limitations and suggested future directions.
  • Image Super-Resolution using Generative Adversarial Networks (GANs)

    SRGAN-based super-resolution for perceptually realistic image enhancement.

    • Implemented content + adversarial losses.
    • Trained with simulated degradations and high-resolution datasets.
    • Improved sharpness/detail vs interpolation baselines.
  • Spectral-Based Contrast Enhancement and Camera Simulation for Biological Imaging

    Spectral contrast enhancement and camera simulation using biological spectral datasets.

    • Worked with Dental Spectroscopy Database.
    • Simulated camera spectral response and applied spectral estimation.
    • Enhanced contrast for skin/mucous membrane imaging; endoscopy-focused evaluation.
  • Smart Contact Manager

    Secure web application for contact management using Spring Boot.

    • CRUD, signup/signin, email OTP password recovery.
    • Spring MVC/Security, JPA, Thymeleaf + Bootstrap UI.
  • City Mall Management System

    Desktop shopping mall management software.

    • Account/product/order modules; purchase logging; transaction history.
    • Role-based access control; Java Swing UI.

References