When Chain-of-Thought Backfires: Evaluating Prompt Sensitivity in Medical Language Models
Sadanandan, B. (2026). When Chain-of-Thought Backfires: Evaluating Prompt Sensitivity in Medical Language Models.
CV
You can download my full CV here: Download CV (PDF)
Education
- Ph.D. in Engineering and Applied Science - Data Science, University of New Haven, 2021 - 2027
- M.S. in Data Science, University of Connecticut School of Business, 2017 - 2019
- Nanodegree in Deep Learning, Udacity, 2017
- Advanced Diploma in PLC Controls and Design, Anna University, 2008
- B.E. in Electronics and Communication, Cochin University of Science and Technology
Work Experience
- Senior Principal R&D Engineer (Technical Fellow), Medtronic Surgical Innovation
- Improving state-of-the-art in minimally invasive therapies using data from conventional and non-conventional sources
- Leading machine learning and software-driven systems development for medical technology
- Ph.D. Research Assistant, SAIL Lab, University of New Haven
- Developing robust defense strategies for medical vision-language models
- Researching visual adversarial attacks, detection mechanisms, and XAI-guided mitigation strategies
Research Interests
- Medical Vision-Language Models and Robustness
- Adversarial Machine Learning in Healthcare AI
- Precision Oncology and Theranostics
- Fault Detection in Medical Devices
- Data-Driven Digital Twins
Publications
VSF-Med: A Vulnerability Scoring Framework for Medical Vision-Language Models
Sadanandan, B., & Behzadan, V. (2025). VSF-Med: A Vulnerability Scoring Framework for Medical Vision-Language Models. arXiv preprint arXiv:2507.00052.
Promise of Data-Driven Modeling and Decision Support for Precision Oncology and Theranostics
Sadanandan, B., & Behzadan, V. (2025). Promise of Data-Driven Modeling and Decision Support for Precision Oncology and Theranostics. arXiv preprint arXiv:2505.09899.
Comparative Study of Generative Models for Early Detection of Failures in Medical Devices
Sadanandan, B., Arghavani Nobar, B., & Behzadan, V. (2025). Comparative Study of Generative Models for Early Detection of Failures in Medical Devices. arXiv preprint arXiv:2505.04845.
Machine Learning for Anastomotic Leak Prediction
Sadanandan, B. (2024). Machine Learning for Anastomotic Leak Prediction. IJTSRD, 8(3).
Systems and Methods for Machine Learning Control of a Surgical Device
Systems and methods for machine learning control of a surgical device. US Patent WO2023223258A2, 2024.
Data-Driven Decisions
Sadanandan, B. K. (2019). Data-Driven Decisions. MIT.