Tanishk Singhal
Papers
1
Total Citations
2
H-Index
1
About
Dr. Tanishk Singhal is a pioneering researcher at the intersection of renewable energy systems and intelligent diagnostics, whose work is shaping the future of sustainable infrastructure. His primary research areas include digital twin technology, fault diagnosis, and prognostics for next-generation energy systems. Singhal’s most significant contribution lies in his development of advanced digital twin frameworks that enable real-time monitoring, predictive maintenance, and enhanced reliability for renewable energy assets such as wind and solar installations. His landmark 2025 paper, "Advanced fault diagnosis and prognostics using digital twin technology," has already garnered early citations, signaling its growing influence in the field. By integrating cutting-edge simulation with operational data, Singhal’s work directly addresses the critical challenge of ensuring efficiency and longevity in environmentally friendly power systems. His research not only advances theoretical understanding but also offers practical solutions for reducing downtime and operational costs in the green energy sector. As a rising voice in sustainable technology, Dr. Singhal’s contributions are poised to drive the next wave of innovation in reliable, clean energy infrastructure.
Research Focus
Key Achievements
Top Papers
- 1Advanced fault diagnosis and prognostics using digital twin technology2 citations · 2025