Muhammad Saad

About Me

I am a Master’s student in Electrical and Computer Engineering with a concentration in Artificial Intelligence at the University of Ottawa. My research focuses on pure computer vision and the integration of AI into immersive 3D worlds, including the development of AI-powered avatars and interactive virtual environments.

Prior to my graduate studies, I completed my Bachelor’s degree in Software Engineering at Islamia College Peshawar in 2021, where I developed expertise in medical imaging and computer vision alongside a strong foundation in software development and engineering principles.

Research Interests

My research focuses on:

• Computer Vision: Pure computer vision techniques and applications
• Immersive 3D Environments: AI integration into virtual worlds
• AI-Powered Avatars: Intelligent virtual agents and interactive experiences
• Medical Imaging: Facial expression recognition for neurological patients

Publications

• M. Saad, M. Saeed, F. Laamarti, and A. El Saddik, Multimodal Interaction through Embodied Agents: An Intelligent Assistant for Immersive Virtual Environments, 1st ACM CHI 2026 Workshop on Shaping Future Human Connection: Social Augmentation through XR Technologies, Barcelona, Spain, 2026. (Accepted)

• M. Saeed, M. Khan, M. Saad, N. Rahim, W. Gueaieb, A. El Saddik, CP-Diffusion: Conditional Prompt-Based Diffusion Models for Video Generation, ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 2025. (Accepted)

• A. Vayani, D. Dissanayake, H. Watawana, N. Ahsan, […], M. Saad, […], F. Khan, All Languages Matter: Evaluating LMMs on Culturally Diverse 100 Languages, CVPR 2025.

• M. Khan, M. Saad, A. Khan, W. Gueaieb, A. El Saddik, G. De Masi, F. Karray, Action Knowledge Graph for Violence Detection Using Audiovisual Features, IEEE International Conference on Consumer Electronics (ICCE), Las Vegas, USA, 2024.

• M. Saad, M. Khan, M. Saeed, A. El Saddik, W. Gueaieb, Combating Counterfeit Products in Smart Cities with Digital Twin Technology, IEEE International Smart Cities Conference (ISC2), Bucharest, Romania, 2023.

• M. Saeed, A. Khan, M. Khan, M. Saad, A. El Saddik, W. Gueaieb, Gaming-Based Education System for Children on Road Safety in Metaverse Towards Smart Cities, IEEE International Smart Cities Conference (ISC2), Bucharest, Romania, 2023.

• M. Saad, M. Ullah, H. Afridi, F. A. Cheikh, M. Sajjad, BreastUS: Vision Transformer for Breast Cancer Classification Using Breast Ultrasound Images, International Conference on Signal-Image Technology & Internet-Based Systems (SITIS), Dijon, France, 2022.

Projects

WudFlux

A web-based metaverse application featuring AI-powered professor avatars. Users can interact through audio or text, receiving natural responses to questions and queries in an immersive 3D virtual environment accessible through any browser.

DebateVerse

A fully autonomous debate system where two AI avatars engage in structured debates on given topics. Features intelligent moderator guidance, reference-supported arguments, and ensures proper engagement between debaters in real-time discussions.

Real-Time Violence Detection

Real-time violence detection system optimized for edge devices. Collaboration between Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) and Technology Innovation Institute (TII). Deployed on Jetson Nano with model optimization techniques for efficient inference and resource-constrained deployment in real-world surveillance applications.

EmotionVis

Facial Expression Recognition system for monitoring neurological patients like Parkinson’s disease. Worked on training adaptive models for pain assessment and emotion monitoring under supervision of Dr. Sajjad at DIP Lab, Islamia College Peshawar. NTNU (Norwegian University of Science and Technology) collaboration funded by Alameda AI toolkit. Project Link

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