Binesh K Sadanandan

About Me

I'm an enthusiastic engineer focused on bridging the gap between data and insights. As a research engineer at Medtronic Surgical Innovation, my current focus is to improve the state-of-the-art in minimally invasive therapies by harnessing the data generated from conventional and non-conventional data sources.

As a Ph.D. Candidate at Secure and Assured Intelligent Learning Lab (SAIL Lab) under the advisement of Dr. Vahid Behzadan at the University of New Haven, my research focuses on developing Robust Defense Strategies for Medical Vision-Language Models. I am working on defending against visual adversarial attacks in medical AI systems, developing detection mechanisms, preprocessing defenses, and XAI-guided mitigation strategies to ensure the safety and reliability of vision-language models in clinical settings.

Skills & Expertise

Technical Skills

• Machine Learning Techniques: Regression, clustering, classification, logistic regression, decision tree, random forest, ensemble models
• Programming Languages: Java, Python, R
• Cloud & Big Data Frameworks: AWS, Snowflake
• Analytics & Visualization: PowerBI, Dash/Plotly (I am a big fan!), Shiny
• PLM & Enterprise Systems: Windchill, Product Lifecycle Management, Unix

Education

• Ph.D. in Engineering and Applied Science - Data Science
  University of New Haven (2021 - 2027)
• Master's degree in Data Science
  University of Connecticut School of Business (2017 - 2019)
• Nanodegree in DeepLearning
  Udacity (2017)
• Advanced Diploma in PLC Controls and Design
  Anna University (2008)
• Bachelor of Engineering in Electronics and Communication
  Cochin University of Science and Technology