When Chain-of-Thought Backfires: Evaluating Prompt Sensitivity in Medical Language Models
Sadanandan, B., & Behzadan, V. (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. IEEE ISBI 2026.
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.
System and Method for Machine Learning Method to Verify Consistent Staple Line Delivery
Kumar, B., Bidarahalli, P.K., & Miesse, A.M. (2025). System and method for machine learning method to verify consistent staple line delivery. WO Patent WO2025027493A1.
Comparative Study of Generative Models for Early Detection of Failures in Medical Devices
Sadanandan, B., Arghavani Nobar, B., & Behzadan, V. (2024). Comparative Study of Generative Models for Early Detection of Failures in Medical Devices. 2024 8th International Conference on Medical and Health Informatics.
Machine Learning for Anastomotic Leak Prediction: A Systematic Review and Experimental Validation
Sadanandan, B. (2024). Machine Learning for Anastomotic Leak Prediction: A Systematic Review and Experimental Validation. International Journal of Trend in Scientific Research and Development, 8(3), 12.
Systems and Methods for Machine Learning Control of a Surgical Device
Miesse, A.M., Sadanandan, B.K., Evans, C.K., Knapp, R.H., & Jalaja, N.L.V. (2023). Systems and methods for machine learning control of a surgical device. WO Patent WO2023223258A2.
Data-Driven Decisions
Sadanandan, B. K. (2019). Data-Driven Decisions. MIT.