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Dr Muhammad RashidComputer Vision, Machine Learning,Image Processing
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I'm a PhD-level ๐๐จ๐ฆ๐ฉ๐ฎ๐ญ๐๐ซ ๐๐ข๐ฌ๐ข๐จ๐ง and Explainable AI (๐๐๐) researcher with 6+ ๐ฒ๐๐๐ซ๐ฌ of experience in ๐จ๐๐ฃ๐๐๐ญ ๐๐๐ญ๐๐๐ญ๐ข๐จ๐ง, ๐๐ง๐จ๐ฆ๐๐ฅ๐ฒ ๐๐๐ญ๐๐๐ญ๐ข๐จ๐ง, and interpretable machine learning. I specialize in precise object localization, ๐ฏ๐ข๐ฌ๐ฎ๐๐ฅ ๐๐ฑ๐ฉ๐ฅ๐๐ง๐๐ญ๐ข๐จ๐ง๐ฌ (GradCAM, LIME, SHAP), and AI for medical imaging, robotics, and surveillance.
I’ve completed 20+ ๐๐ฉ๐ฉ๐ฅ๐ข๐๐ ๐๐ ๐ฉ๐ซ๐จ๐ฃ๐๐๐ญ๐ฌ (many published in peer-reviewed venues) across domains like healthcare, agriculture, and automation. My core strength lies in fusing deep learning with explainable methods to create interpretable, reliable, and high-performing models.
โ ๐๐๐ฒ ๐๐ค๐ข๐ฅ๐ฅ๐ฌ โ๏ธ ๐๐จ๐ฆ๐ฉ๐ฎ๐ญ๐๐ซ ๐๐ข๐ฌ๐ข๐จ๐ง (Detection, Segmentation, Gait & Face Recognition) โ๏ธ ๐๐๐๐ฉ ๐๐๐๐ซ๐ง๐ข๐ง๐ (CNNs, GANs, Transfer Learning, VAE-GAN) โ๏ธ ๐๐ฑ๐ฉ๐ฅ๐๐ข๐ง๐๐๐ฅ๐ ๐๐ (LIME, SHAP, GradCAM, Probabilistic Grids, Concept Embedding) โ๏ธ Visual ๐๐ง๐จ๐ฆ๐๐ฅ๐ฒ ๐๐๐ญ๐๐๐ญ๐ข๐จ๐ง, Semantic Feature Extraction โ๏ธ Image Processing, Enhancement, and Fusion โ๏ธ GUI & Android App Development for AI systems
โ ๐๐จ๐ซ๐ ๐๐ค๐ข๐ฅ๐ฅ๐ฌ: โ๏ธ Deep Learning (CNNs, GANs, VAE-GAN) โ๏ธ Visual Anomaly Detection & Semantic Feature Extraction โ๏ธ XAI for Trustworthy AI Systems โ๏ธ Image Processing, GUI & Android App Development
๐๐ฑ๐ฉ๐๐ซ๐ข๐๐ง๐๐: โ๏ธ Visiting PhD Researcher @ University of Granada, Spain (EU Project DistriMuSe) โ๏ธ Doctoral Researcher @ University of Turin, Italy (NextPerception, DistriMuSe) โ๏ธ R&D Researcher @ Rulex Labs, Italy (Trustworthy ML, XAI)
๐๐ซ๐จ๐ ๐ซ๐๐ฆ๐ฆ๐ข๐ง๐ ๐๐๐ง๐ ๐ฎ๐๐ ๐๐ฌ & ๐ ๐ซ๐๐ฆ๐๐ฐ๐จ๐ซ๐ค๐ฌ: Python / Tensorflow / Keras / Pytorch / OpenCV / Scikit-Learn / Numpy / Pandas / Flask / C / C++ ๐๐จ๐จ๐ฅ๐ฌ & ๐๐ฅ๐๐ญ๐๐จ๐ซ๐ฆ๐ฌ: MySQL / Matlab / SQL / Git / Latex / Edraw / MS Office (MS Word, MS Excel, MS Outlook, MS PowerPoint, MS Access, MS OneNote, MS Visio, MS Teams), Endnote / Raspberry Pi ๐๐จ๐ฆ๐๐ข๐ง ๐๐ฑ๐ฉ๐๐ซ๐ญ๐ข๐ฌ๐: Machine Learning / Deep Learning / Computer Vision / eXplainable AI (XAI) / Anomaly detection / Data Analysis/ Generative AI, Model Deployment / Optimization / Strong Reseach Profile ๐๐จ๐๐ญ ๐๐ค๐ข๐ฅ๐ฅ๐ฌ: Documentation / Communication / Analytical Thinking / Teamwork
๐๐๐๐๐๐๐๐๐๐๐๐ 1. ShapBPT: Image feature attribution using data aware Binary Partition Trees, @ AAAI-26 2. Can I Trust My ๐๐ง๐จ๐ฆ๐๐ฅ๐ฒ ๐๐๐ญ๐๐๐ญ๐ข๐จ๐ง ๐๐ฒ๐ฌ๐ญ๐๐ฆ? A Case Study Based on ๐๐ฑ๐ฉ๐ฅ๐๐ข๐ง๐๐๐ฅ๐ ๐๐ [World Conference on Explainable Artificial Intelligence] [2024] 3. Using Stratified Sampling to Improve ๐๐๐๐ ๐๐ฆ๐๐ ๐ ๐๐ฑ๐ฉ๐ฅ๐๐ง๐๐ญ๐ข๐จ๐ง๐ฌ [AAAI-24] [2024] 4. "Deep CNN and geometric features-based gastrointestinal tract diseases detection and classification from wireless capsule endoscopy images." Journal of Experimental & Theoretical Artificial Intelligence (IF 2.296) 5. "An optimized approach for breast cancer classification for histopathological images based on hybrid feature set." Current Medical Imaging. (IF 1.315) 6. "An integrated framework of skin lesion detection and recognition through saliency method and optimal deep neural network features selection." Neural Computing and Applications (IF 5.102) 7. Rashid, Muhammad, et al. "A sustainable deep learning framework for object recognition using multi-layers deep features fusion and selection." Sustainability (IF 3.25) 8. Rashid, Muhammad, et al. "Object detection and classification: a joint selection and fusion strategy of deep convolutional neural network and SIFT point features." Multimedia Tools and Applications 2019 (IF 2.577) 9. Rashid, Muhammad, et al. "Classification of gastrointestinal diseases of stomach from WCE using improved saliency-based method and discriminant features selection." Multimedia Tools and Applications (IF 2.577) 10. "Region-based active contour JSEG fusion technique for skin lesion segmentation from dermoscopic images." Biomedical Research. (IF 0.219) 11. "Left Ventricle Segmentation: A Combination of Intelligent Image Enhancement Techniques and Novel Light Unet Model. " (Submitted in Image and Vision Computing) (IF 3.86)
Python for Data science, Machine Learning and Artificial Intelligence Beginner-Expert
Experience
Visiting researcher (Jan, 2025–Present) at University of Granada, Spain
I have joined Valeria-Lab, Dept. of Computer Engineering, Automation and Robotics Department, University of Granada, Spain as a visiting researcher, to work on the generation of synthetic data for a use case of EU project DistriMuSe.
Ph. D. Student and Researcher (Oct, 2022–Present) at Rulex inc - Italian CNR - University of Genoa
working on Rule based Machine Learning Algorithms
Research Associate (Aug, 2021–Present) at HITEC University Taxila,Taxila Cantt
Machine Learning, Computer Vision, Deep Learning, Medical Imaging, Agricultural Imaging.
Teaching Assistant (Sep, 2019–Jun, 2021) at HITEC University Taxila,Taxila Cantt
Web Engineering Digital Image Processing Programming Fundamentals Data Structures and Algorithms
Education
Ph. D.(CS) in Computer Vision and Graphics (Oct, 2022–now) from universita di Torino
MS(CS) in Computer Vision and Graphics (Feb, 2017–Sep, 2019) from COMSATS UNIVERSITY ISLAMABAD, WAH CAMPUS–scored 3.77/4.00
BS(CS) in Software Engineering (Feb, 2010–Sep, 2016) from Allama Iqbal Open University Islamabad,Pakistan–scored 3.19/4.00