Dr. Chandan Kumar Sahu is a Research Scientist - Generative AI and Agentic Systems at the ABB US Corporate Research Center. He pushes the knowledge frontier as an early adopter of emerging technologies to make industrial systems smarter and safer. He systematically integrates Generative AI, NLP, and network analysis techniques with the rigor of mathematical modeling and first-principles. This hybrid approach enables him to solve critical challenges across cyber-physical systems, additive manufacturing, requirements engineering, information retrieval systems, and CAD modeling. Dr. Sahu is a seasoned researcher whose scholarly contributions have been highly cited and resulted in multiple patents. His expertise is further evidenced by multiple industry accolades and hackathon wins. He holds a PhD degree.
- JNV 2003–2010
School: Basic Science Education.
- NIT Rourkela 2010–2014
Undergrad in Engineering.
- Honda 2014–2017
Executive in the New Model Division.
- University at Buffalo 2017–2020
Masters in Engineering.
- Clemson University 2020–2024
PhD in Engineering.
- ABB 2025–present
Research Scientist in Generative AI and Agentic Systems.
Research Interests
My research focuses on bridging the gap between AI capabilities and real-world engineering applications:
- Generative AI & Agents: Fine-tuning large language models for domain-specific applications and building agentic AI workflows
- Information Retrieval: Retrieval-augmented pipelines for grounded Q&A, enterprise search, and technical knowledge access
- CAD Modeling: AI-assisted design workflows for processing engineering drawings and 3D CAD models
- Physics-Guided Machine Learning: Hybrid models that combine physical principles with data-driven approaches
- Requirements Engineering: NLP-based tools for automated requirements analysis, verification, and traceability
- Additive Manufacturing: ML-based process monitoring, melt pool prediction, and quality control
Intellectual Influences
"People are flawed and are inherently ordinary. Extraordinary people rise from extraordinary circumstances. They remain ordinary before and after, but in the crucible of the moment, they seized it. Those are their moments of glory."
- Jim SimonsQuantitative Finance
- Yann LeCunArtificial Intelligence
- Gunnar CarlssonTopological Data Analysis
- Jean GallierMathematics for Engineering
- Mark NewmanNetwork Analysis
Here I am, seeking extraordinary problems
Thank You
Rahul RaiSuraj BeheraSudarshan MishraSushama Tripathy