PhD Student & Researcher
Moein Heidari
I'm a
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Publications
MedIA
Journal
ICCV
2025
I'm a
Exploring the frontiers of Computer Vision, Medical Imaging, and AI Agents to solve real-world healthcare challenges.
Hi, I'm Moein! 👋 A passionate researcher pushing the boundaries of AI in healthcare.
I'm a PhD student in Biomedical Engineering at the University of British Columbia, working under the supervision of Dr. Ilker Hacihaliloglu at the UltrAi Lab.
My research explores the frontiers of Computer Vision, Medical Imaging, and Deep Learning. I'm particularly interested in Implicit Neural Representations, Vision Transformers, Diffusion Models, AI Agents, and Large Language Models for medical applications.
Currently, I'm developing an agentic framework for echocardiography, combining multimodal AI agents with advanced vision models to improve cardiac imaging analysis and diagnosis.
I've had the privilege of collaborating with leading researchers from Stanford, RWTH Aachen, MILA, MBZUAI, and Rutgers, publishing at top-tier venues including CVPR, ICCV, MICCAI, WACV, and Medical Image Analysis.
Stay updated with my latest research milestones and paper acceptances.
🎉 Paper Prompt2Perturb (P2P) accepted at CVPR'25.
🎉 Paper SL²A-INR accepted at ICCV'25.
🎉 Paper Fourier KAN for implicit neural representations accepted at ICASSP'25.
🎉 Paper on U-Net modifications for tumor segmentation accepted at SPIE'25.
🎉 Paper MSA² Net on multi-scale attention accepted at BMVC'24.
🎓 Started my Ph.D. in Biomedical Engineering at the University of British Columbia.
🎉 Paper SA²-Net accepted for oral presentation at BMVC'23.
🎉 Our survey paper on Vision Transformers in Medical Imaging accepted in the Medical Image Analysis Journal.
🎉 Our survey paper on Diffusion Models in Medical Imaging accepted in the Medical Image Analysis Journal.
🎉 Paper HiFormer on medical image segmentation accepted at WACV'23.
🎉 Three papers, Contextual Attention Network, IVD Labeling, and TransDeepLab accepted at MICCAI'22.
🎉 Paper TransNorm accepted in IEEE Access journal.
🎓 Successfully defended my bachelor's thesis on designing, simulating, and building a self-driving car.
My research spans Computer Vision, Medical Imaging, and AI Agents, published at premier conferences and journals.
Conference: ICCV 2025
My professional journey spans research, teaching, and service to the academic community.
Researching agentic frameworks for echocardiography and implicit neural representations in medical imaging.
Collaborated on medical image analysis projects, focusing on vision transformers and deep learning architectures.
Worked on advanced computer vision projects and collaborated with international research teams.
Assisting in biomedical engineering courses, helping students with computer vision and machine learning concepts.
Representing graduate students in departmental meetings and organizing academic events.
Reviewing papers for top-tier computer vision and medical imaging conferences.
Reviewing manuscripts for prestigious medical imaging journals.
Recognized for exceptional review quality and constructive feedback.
I'm always interested in discussing research ideas, collaborations, and opportunities.
Vancouver, BC, Canada
University of British Columbia
Open to collaborations
Available for research discussions