AI & Machine Learning Researcher — LLMs, Diffusion Models, Computer Vision

Lahore, Pakistan PhD (in progress)

📧 m.wasi17@gmail.com · 📞 +92 303-7557123 · LinkedIn · GitHub

Experienced AI and Generative Researcher with strong expertise in Machine Learning, Deep Learning and Natural Language Processing (NLP). Proficient in Large Language Models (LLMs), Diffusion Models, and Multimodal Learning for text, image and video generation. Demonstrated success in healthcare, cybersecurity, and education applications. Over 8 years of university-level teaching experience and proven skills in model deployment and MLOps.

• AI-Assisted Policy/Procedure Data Extraction for Nursing Management — Developed AI systems to extract policy and procedure data, aiding management and decision-making in clinical nursing scenarios.
• AI-Assisted Voice/Audio Documentation and Charting for RNs — Implemented voice-enabled documentation tools to streamline clinical workflows and reduce administrative burden.
• AI to Mitigate Psychiatric Specialist Shortages — Designed AI-assisted diagnostic tools to support mental health practitioners and partially automate assessments.
• AI-Assisted Documentation for Home Health & Hospice Nurses — Automated documentation solutions to free clinician time for patient care.
• AI-Assisted Medication Prior Authorization — Systems to expedite prior authorization processes between providers, payers and pharmacies.
• Driving Change: AI for Nurse-Led QI Projects — Applied AI to analyze and optimize nurse-led quality improvement initiatives.
• AI-Assisted Patient Info Extraction for Health Alerts — Models that extract clinical cues and generate screening alerts.
• Hospital-to-Home BP Pal — Remote blood-pressure monitoring solution to reduce readmissions.
• Detection of TB from X-Ray Images — ViT-based pipeline using synthetic data generation and PyTorch fine-tuning for CXR classification.
• Intelligent Detection of Tiny Cigarette Butts — DETR-based framework for object detection in waste-management video streams.
• Fire Detection from Video — YOLOv8-based real-time fire detection system.
• Urdu Navigation System for Visual Impairment — Vision-based navigation assistance using YOLOv8.
• Image Generation from Urdu Text — Stable Diffusion pipeline adapted for Urdu caption-to-image generation.
• Empathy Chatbot for Epilepsy Patients — Multimodal chatbot providing emotional support and guidance.
• Multimodal Chatbot for Alzheimer’s Disease — Conversational assistant integrating vision and language for patient support.
• Alzheimer Assistant — Dual-module system combining MRI-based Alzheimer stage prediction and LAB-RAG powered medical chatbot (98% accuracy).
• Predictive Analytics Pipelines — XGBoost/LightGBM models for healthcare and forecasting applications.

• Muhammad Waseem, Abdul Jaleel, Syed Khaldoon Khurshid, Qasim Ali Ranjha, Muhammad Awais Hassan. “An Analytical Study on Covid-19 Disease Analysis with Modern Machine Learning Methods.” International Journal of Computational Intelligence in Control.
• Zabeehullah, Fahim Arif, Yawar Abbas, Shahbaz Ahmad, Muhammad Waseem. “DLICA: Deep Learning based novel Strategy for Intelligent Channel Adaption in Wireless SDN-IoT Environment.” 2023, C-CODE.
• A Holistic Approach for Detecting Socialbots on Twitter: Integration of Diverse Features. The Nucleus.
• Machine Learning Techniques for Urdu Audio Feedback for Visual Assistance: A Systematic Literature Review. The Nucleus.
• Habib, Shaheer, Mubashir Ahmad, Yasin Ul Haq, Rabia Sana, Asia Muneer, Muhammad Waseem, Muhammad Salman Pathan, Soumyabrata Dev. “Advancing Taxonomic Classification through Deep Learning: A Robust AI Framework for Species Identification Using Natural Images.” IEEE Access (2024).
• M. Waseem, M.U.G. Khan, S.K. Khurshid. “LCGD: Enhancing Text-to-Video Generation via Contextual LLM Guidance and U-Net Denoising.” IEEE Access.
• N. Siddique, A. Zafar, B.A. Akram, M. Waseem, S. Iqbal, A. Al-Yahya. “IMETA-GNN: Meta Learning based Cold Start Optimization for Recommendation System.” IEEE Access.
• M. Kamran, M. Waseem, N. Shafi, A. Zahid. “Detection of Caries and Hypodontia Using Deep Learning and Explainable AI.” 2024, 18th International Conference on Open Source Systems and Technologies.

Presented work at IEEE C-CODE 2023, ICOSST 2024 and other regional conferences. Full list of publications and preprints available on request or via the GitHub/Google Scholar links above.

Ph.D. Computer Science — University of Engineering & Technology, Lahore (In Progress)
Research: Text-to-Video Generation using Diffusion Models & LLMs

M.S. Computer Science — Virtual University of Pakistan (CGPA: 3.57/4.0)
Thesis: Deep Learning Syntactic Enrichment for Biomedical Images

B.S. Information Technology — University of Sargodha (CGPA: 3.70/4.0)

PythonPyTorchTensorFlow Hugging FaceStable DiffusionLLMs MLOpsDockerXGBoost LightGBMViT / DETR / YOLOv8Flask / Django

8+ years teaching at university level: Artificial Intelligence, Machine Learning, Deep Learning, Data Structures, Algorithms, Database Systems, Programming (Python, C++, Java). Supervision of undergraduate theses and student research projects.

📧 m.wasi17@gmail.com
📞 +92 303-7557123
LinkedIn · GitHub