Kapil Kumar Gupta

Kapil Kumar Gupta is a Researcher in the Department of Civil and Mechanical Engineering at the Technical University of Denmark (DTU), specializing in Materials and Surface Engineering. His research is centered on corrosion mechanisms and material degradation in energy, electronics, and industrial systems. He contributes actively to projects involving high-voltage electronics, hydrogen production, and carbon capture technologies.

His research interests span Corrosion Science, Materials Science, Surface Engineering, CO2 Corrosion, Electronic Circuit Reliability, and Lithium-Ion Battery Degradation. These areas are evident from his recent publications and involvement in SDG-related research, particularly in climate action and sustainable industry.

The most recent articles highlight a strong trend in understanding degradation in energy and electronic systems. His work integrates experimental analysis with real-world data to model failure mechanisms in harsh environments, such as CO2-rich reservoirs, humid electronics, and battery systems. Key themes include corrosion prediction, surface-microstructure interactions, and reliability under operational stress.

Although no formal scientific awards are listed, his research outputs and conference presentations reflect active scholarly engagement. He has delivered lectures at major international conferences on CO2 corrosion and storage.

Kapil Kumar Gupta serves as a supervisor in multiple PhD projects, including those on corrosion in high-voltage electronics and alkaline electrolyzers. While no direct grant information is provided, his involvement in funded PhD projects suggests participation in externally supported research initiatives. He was himself a PhD student at DTU from 2019 to 2023, working on steel corrosion and scaling in oilfield environments.

He is part of a collaborative research network led by Professor Rajan Ambat, focusing on materials performance in extreme conditions. This team conducts interdisciplinary studies combining electrochemistry, materials characterization, and predictive modeling across energy and infrastructure applications.