Ajinkya Gorad

Ajinkya Gorad is a Researcher at Aalto University's Department of Electrical Engineering and Automation. His work bridges machine learning, signal processing, and sensor technology for diverse applications including maritime navigation and speech classification.

• Master's degree, Engineering and Technology, Indian Institute of Technology Bombay

His research focuses on applying state-space methods and deep learning to complex problems. Recent work includes object tracking algorithms leveraging Rao-Blackwellized Monte Carlo data association, foghorn sound analysis for maritime bearing estimation, and hardware-optimized neural network architectures for speech processing. He has contributed to advancements in particle filtering, Kalman filtering, and multisensor systems.

Research trends indicate strong engagement with maritime awareness systems (via acoustic and imaging modalities), real-time signal processing, and embedded machine learning. His collaborations span Finland-based institutions, with contributions to open datasets like the Baltic Sea Ice Dataset (2024).

As a researcher, he has published in machine learning (IJCNN, MLSP) and computer vision (SCIA) venues, while developing practical solutions for autonomous navigation and healthcare monitoring applications.