امیررضا محمدنژاد شبلی

Amirreza M. Shebly 

I've been working as a Machine Learning Researcher at the ADLab since May 2023.
I'm currently leading the pedestrian path prediction project group. Our goal is to compute the complex spatial and social interactions between people using Graph Neural Networks. By leveraging the power of GNNs, we aim to create models that can accurately predict pedestrian movements, which can potentially contribute to safer and more efficient urban environments, autonomous navigation systems, and even improved crowd management strategies.

My research interests are deeply rooted in the power of artificial intelligence to solve real world problems. I'm particularly intersted in the fields of Computer Vision, Autonomous Systems, Medical Image Analysis, Generative Models, Meta Learning, Graph Neural Networks, LLMs and Multi-Modal Systems. My goal is to leverage my expertise in these areas to develop innovative solutions that can make a significant contribution. I'm excited by the prospect of using computer vision to enhance medical diagnostics, treatment planning, urban planning, and scientific problems, designing meta learning algorithms for more efficient and adaptive AI systems, and exploring the potential of Graph Neural Networks in analyzing complex relationships in data.

At ADLab, I'm constantly seeking opportunities to innovate and contribute to the advancement of AI. I'm passionate about pushing the boundaries of AI, exploring new techniques and applying them to challenging real-world problems. My research endeavors are driven by a desire to create solutions that not only solve specific issues but also contribute to advancing the field.

:Skills
Python, Java, C++, Julia, R, SQL
Numpy, Pandas, Matplotlib, Scipy, Sklearn, OpenCV, Tensorflow, keras, Pytorch
Image Processing, Video Analysis, Object Detection, Object Tracking, Semantic Segmentation, Siamese Networks, Contrastive Learning, Face Recognition, Generative Models, Few Shot Learning, Image Captioning, Pose estimation, Action Recognition
Sentiment Analysis, Machine Translation, Named Entity Recognition, POS tagging, Language Modeling, Audio Processing, Trigger Word Detection, Speech Recognition

:Research Interests
Computer Vision
AI in Urban Environments and Autonomous Systems
Medical Image Analysis
Graph Neural Networks
Generative Modeling
Meta Learning
NLP, LLMs, Multi-Modal Systems

:Projects
Pedestrian Trajectory Prediction
Real-time Small Objects Detection and Tracking
3D Brain Tumor Segmentation
Few-Shot Learning
Multi-Modal Deep Learning Framework for Healthcare Monitoring