Subrata Bhattacharjee

• Contributed to and actively participated in the conception, design, and execution of research projects to address defined medical technology challenges.
• Overcame research challenges by conducting experimental procedures and iterative testing as needed.
• Developed algorithms for an AI-integrated safe-infusion system to enhance patient safety in clinical settings.
• Designed a prototype device for urinary status monitoring and implemented a deep learning-based model to detect and track liquid levels in urine bags.

Project Entitled: “AI-integrated personal safe-infusion platform for untact auto-monitoring of drug administration accidents in hospital”. Supported by the National Research Foundation of Korea (NRF). (Jul 2024 – May 2025)

• Conducted research to develop algorithms aimed at improving medical image analysis techniques
• Worked extensively with diverse medical imaging datasets, including histopathology (prostate, breast, colon, stomach), radiology (CT, MRI, X-ray), and endoscopic (laryngeal) images, collected from various hospitals across Korea.
• Applied artificial intelligence methods to classify and support the diagnosis in various imaging modalities.
• Collaborated with multidisciplinary medical research teams from hospitals and industry partners, including Yonsei University - Department of Pathology, CHA Bundang Medical Center, Eulji University - Department of Pathology, Kosin University Gospel Hospital - Department of Otorhinolaryngology-Head and Neck Surgery, and Artificial Intelligence Research Center, JLK Inc. to develop research methodologies, validate research findings, and ensure clinical relevance
• Supported grant writing efforts, securing essential funding for research projects.
• Authored peer-reviewed journal articles contributing to the scientific understanding of AI in healthcare diagnostics
• Presentation of research findings at international conferences

Project Entitled: “Software development for tracking and quantitative analysis of hippocampal morphological changes according to the progression of Alzheimer's disease”. Supported by Basic Science Research Program through the National Research Foundation of Korea (NRF), funded by the Ministry of Education, Korea. (Jan 2019 – Oct 2020)

Project Entitled: “Intelligent Information Acceleration Open Ecosystem Development Project through collaboration with public institutions in Chungbuk”. Funded by Ministry of Trade, Industry, and Energy, (MOTIE), Korea, under the “Regional Specialized Industry Development Program” supervised by the Korea Institute for Advancement of Technology (KIAT). (Oct 2018 – Dec 2022)

Project Entitled: “Quantitative and Qualitative Analysis of Prostate Cancer Images: Development of Computer-aided Diagnosis Platform”. Supported by the National Research Foundation of Korea (NRF). (Mar 2022 – Feb 2024)

Project Entitled: “Development of Digital Pathology Platform Linked to Multi-Species Artificial Intelligence Solution”. Supported by the Korea Health Industry Development Institute (KHIDI). (Mar 2023 – Dec 2023)