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Welcome to the BRAIN Lab

Welcome to the BRAIN Lab: Breakthrough Research in Next Gen AI Networks Lab! We are a research lab focused on advancing the fields of artificial intelligence, classical machine learning, deep learning, and computer vision. Our lab explores innovative methods to enable machines to perceive, understand, and interpret visual information from the world around them. Our works have applications in healthcare, autonomous systems, and human-computer interaction.

Founder and Director: Dr. Muzammil Behzad

BRAIN Lab Group Photo

Research Areas

Anything AI:

Exploring all aspects of Intelligent systems, reasoning, optimization, trustworthy AI.

Representation Learning:

Self-supervised, contrastive, metric, and multimodal representation learning.

2D/3D Vision:

Object detection, segmentation, scene understanding, 3D vision, and video analytics.

Multimodal AI:

Learning and reasoning across vision, language, audio, sensor, and biomedical data.

LLMs & VLMs:

Foundation models for language, vision, multimodal reasoning, retrieval, and generative AI.

Generative AI:

Diffusion models, GANs, large generative models, and synthetic data generation.

Applications of Computer Vision:

Healthcare, robotics, autonomous systems, smart cities, industrial inspection, and intelligent surveillance.

Agentic AI:

Autonomous AI agents, planning, reasoning, tool use, and multi-agent collaboration.

Affective Computing:

Facial expression analysis, emotion recognition, body gesture understanding, and behavioral AI.

Human-Computer Interaction:

Human-AI collaboration, intelligent interfaces, explainable AI, and user-centered systems.

AI for Healthcare:

Medical image analysis, clinical decision support, biomedical AI, and healthcare automation.

Explainable & Trustworthy AI:

Interpretable models, fairness, robustness, uncertainty estimation, and responsible AI.

News & Announcements

2026.06:πŸ“£ Paper accepted in IEEE International Conference on Image Processing (ICIP) 2026.
2026.06:πŸ“£ Dr. Muzammil's funded project on Quantum Multimodal AI as Co-PI is approved.
2026.05:πŸ“£ Dr. Muzammil's funded project on Multimodal and Trustworthy Medical Computer Vision as PI is approved.
2026.05:πŸ“£ Alaa successfully defended her MS thesis.
2026.05:πŸ“£ Reem successfully defended her PhD thesis proposal.
2026.05:πŸ“£ Our team won the 1st and 2nd places in graduate category and 2nd place in undergrad category in the poster competition in Women in Data Science (WiDs 2026) conference.
2026.05:πŸ“£ 6 posters accepted in Women in Data Science (WiDS) 2026 poster competition in KFUPM, Saudi Arabia.
2026.05:πŸ“£ Malik Ibrahim, Daniya Imran, Hibah Almashhad, Jumana Alharbi, Abdulaziz Ismail, Abdullah AlAwlaqi, and Saad Alghamdi successfully completed their graduate projects.
2026.04:πŸ“£ Dr. Muzammil participated in the IEEE International Symposium on Biomedical Imaging (ISBI) Conference in London, UK.
2026.04:πŸ“£ Three papers accepted in IEEE International Symposium on Biomedical Imaging..
2026.03:πŸ“£ Paper titled "UDAN-CLIP: Diffusion attention network with contrastive language-image joint learning for underwater image enhancement" got accepted in Pattern Recognition.
2026.03:πŸ“£ Paper titled "KRCapVLM: Beam-guided knowledge replay for knowledge-rich image captioning using vision-language model" got accepted in Pattern Recognition.
2026.03:πŸ“£ Paper titled "MultiviewVLM: Unsupervised Multiview Contrastive Language-Image Joint Learning with Pseudo-Labeled Prompts Via Vision-Language Model for 3D/4D Facial Expression Recognition" got accepted in IEEE Transactions on Multimedia.
2026.02:πŸ“£ Dr. Muzammil is serving as Area Chair for the 28th International Conference on Pattern Recognition 2026.
2026.02:πŸ“£ Dr. Muzammil will give a keynote talk at Foundation AI Models in Medical Imaging Workshop in ISBI 2026.
2026.02:πŸ“£ Dr. Muzammil elevated to the grade of IEEE Senior Member at IEEE..
2026.02:πŸ“£ We recieved the Best Poster Award for paper titled "Generative Adversarial Synthesis for Brain MRI Images" in the SMiLE 2026 conference.
2026.01:πŸ“£ Afrah successfully defended her MS thesis.
2026.01:πŸ“£ Dr. Muzammil participated as Mentor in MenaML 2026 at KAUST, Saudi Arabia.
2026.01:πŸ“£ Renad Elsafi, Danah Aldosary, Omar Alshahrani, Abdullah Baleid, Arwa Aldawoud, Leen Refka, Bana Jaber, and Abdulrahman Ibrahim started working as undergrad researchers.
2026.01:πŸ“£ Dr. Muzammil participated as AI Advisor and Mentor the Eye Hackathon 2025 in Riyadh, Saudi Arabia.
2025.12:πŸ“£ Paper titled "MOSAIC: A multi-view 2.5D organ slice selector with cross-attentional reasoning for anatomically-aware CT localization in medical organ segmentation" got accepted in Computer Vision and Image Understanding.
2025.11:πŸ“£ Malik Ibrahim, Daniya Imran, Hibah Almashhad, Jumana Alharbi, Abdulaziz Ismail, Abdullah AlAwlaqi, and Saad Alghamdi started working as graduate researchers.
2025.11:πŸ“£ Dr. Muzammil gives a keynote talk in the Heart Fusion Conference 2025.
2025.10:πŸ“£ Dr. Muzammil gives a talk titled "Vision-Language Models in the Age of Multimodal Healthcare AI: Opportunities and Challenges for Next-Generation Medical Imaging and Clinical Applications" in the AI Leadership Development Day, hosted by Johns Hopkins Aramco Healthcare (JHAH) in sponsorship with Aramco.
2025.10:πŸ“£ Dr. Muzammil gives a talk titled "Vision-Language Models in the Age of Multimodal AI: Bridging Modalities for Next-Generation Computer Vision Applications" in the AI Co-Innovation Programjointly organized by aramco and the Research, Development and Innovation Authority (RDI).
2025.10:πŸ“£ Farah AlShiha started working as an undergrad researcher on medical AI.
2025.09:πŸ“£ Paper titled "FACET–VLM: Facial emotion learning with text-guided multiview fusion via vision-language model for 3D/4D facial expression recognition" got accepted in Neurocomputing.
2025.08:πŸ“£ Paper titled "SMILE-VLM: Self-Supervised Multi-View Representation Learning using Vision-Language Model for 3D/4D Facial Expression Recognition" got accepted in IEEE Access.
2025.08:πŸ“£ Paper titled "Prompt-Guided Patch UNet-VAE with Adversarial Supervision for Adrenal Gland Segmentation in Computed Tomography Medical Images" got accepted in International Conference on Artificial Intelligence in Healthcare (AIiH 2025).
2025.05:πŸ“£ Reem AlJunaid started working as a PhD researcher on knowledge distillation for medical AI.
2025.05:πŸ“£ Our team won the 2nd place in the poster competition in Women in Data Science (WiDs 2025) conference.
2025.04:πŸ“£ Safa started working as a PhD researcher on generative AI for medical 3D data.
2025.04:πŸ“£ Hania got admitted to PhD program at KFUPM, Saudi Arabia.
2025.04:πŸ“£ Thuraya got admitted to MS program at KFUPM, Saudi Arabia.
2025.04:πŸ“£ Poster accepted in Women in Data Science (WiDS) 2025 poster competition in KFUPM, Saudi Arabia.
2025.04:πŸ“£ Paper accepted in 19th IEEE Int. Conf. on Automatic Face and Gesture Recognition 2025, Florida, US.
2025.04:πŸ“£ Poster accepted in 16th Student Research Conference on Applied Computing 2025, Abu Dhabi, UAE.
2025.04:πŸ“£ Poster accepted in 16th Student Research Conference on Applied Computing 2025, Abu Dhabi, UAE.
2025.02:πŸ“£ Dr. Muzammil funded project on AI models for multimodal based differentiation of ocular neoplasia as PI is approved.
2025.02:πŸ“£ Dr. Muzammil participated in LEAP Conference in Riyadh, Saudi Arabia.
2025.02:πŸ“£ Hania Ghouse started working as a visiting researcher on multiple organ segmentation and medical analysis.
2025.02:πŸ“£ Dr. Muzammil's funded project on vision language model for emotion recognition as PI approved.
2025.01:πŸ“£ Almaan Khan started working as an undergrad researcher on tackling data imbalance in rare object detection.
2025.01:πŸ“£ Thuraya Alzubaidi started working as a visiting researcher on explainability of vision language models
2025.01:πŸ“£ Abdul Razaq started working as an undergrad researcher on transformer models for underwater image enhancement.
2025.01:πŸ“£ Sana Ammar started working as an undergrad researcher on explainability for medical image segmentation.
2024.11:πŸ“£ Dr. Muzammil gave a seminar on emotion recogniton from 3D/4D faces in KFUPM, Saudi Arabia.
2024.11:πŸ“£ Poster accepted in AITS poster competition in KFUPM, Saudi Arabia.
2024.10:πŸ“£ Poster accepted in JRCAI poster competition in KFUPM, Saudi Arabia.
2024.09:πŸ“£ Dr. Muzammil participated in Int. Conf. on Smart Mobility and Logistics Ecosystem (SMILE) in KFUPM, Saudi Arabia.
2024.10:πŸ“£ Alaa Dalaq started working as an MS researcher on vision language models for referring semantic segmentation.
2024.09:πŸ“£ Dr. Muzammil participated in Global AI GAIN Summit in Riyadh, Saudi Arabia.
2024.09:πŸ“£ Afrah Shahid started working as an MS researcher on underwater visual enhancements using VLMs.
2024.09:πŸ“£ Dr. Muzammil affiliated as a research fellow with SDAIA-KFUPM Joint Research Centre on AI (JRC-AI), Saudi Arabia.
2024.09:πŸ“£ Dr. Muzammil officially appointed as Mentor for the students of KFUPM, Saudi Arabia.

Looking Forward to Collaboration

We strongly encourage collaboration opportunities from industrial and academic partners. We are actively looking for postdocs, graduate students, regular researchers and visiting researhcers to join the team.

Get in Touch

Contact Email: muzammil.behzad@{kfupm.edu.sa, gmail.com}

Website: BRAIN Lab

Thank you for visiting BRAIN Lab’s page! We look forward to advancing the field of artificial intelligence together.