Keyur Joshi

Keyur Joshi is a PHD Researcher at Bosch Security and Safety Systems since June 2023, focusing on developing a multi-stage LLM and diffusion-based video generation pipeline for diverse fire scenarios. Prior to this, Keyur worked on uncertainty estimation and data curation for a video-based fire detection product, employing deep learning methods and active learning techniques. Keyur's research experience includes positions as a research assistant at Ruhr University Bochum, where involvement included anomalous detection of time series analysis and supervision of tutorials for a master's course. Keyur has also contributed to anomaly detection and few-shot learning techniques at Bosch and gained industry exposure through various internships in engineering. Keyur holds a Master’s degree in Computational Engineering from Ruhr University Bochum and a Bachelor’s degree in Mechanical Engineering from Mumbai Jobs.