Hi, I'm Riddhi Mandal, currently pursuing a Master’s in Professional Studies in Informatics at Northeastern University, Toronto. My work focuses on artificial intelligence, machine learning, and computer vision, with an interest in developing intelligent systems that address real-world challenges in healthcare, biomechanics, and data-driven applications.

I have research experience in deep learning and computer vision through multiple international research collaborations. At Hong Kong Metropolitan University, I worked on biomechanics research involving transformer-based models for center of mass trajectory estimation and hybrid CNN-LSTM models for running pace prediction using multi-IMU sensor data. I have also contributed to applied AI systems in healthcare, including computer vision models for dental disease detection and tools designed to support clinical decision making.

Earlier, as a MITACS Globalink Research Intern at the University of Northern British Columbia, I worked on computer vision algorithms for estimating ground reaction forces using motion sensing technologies. My work has resulted in several research publications and patents related to AI and biomedical applications. I am particularly interested in building robust and practical AI systems by combining machine learning, data analysis, and computational research.