Sharnil Pandya
Papers
1
Total Citations
284
H-Index
1
About
Sharnil Pandya is a leading researcher at the intersection of artificial intelligence, cybersecurity, and the Industrial Internet of Things (IIoT). His work is defined by pioneering contributions to privacy-preserving machine learning, particularly through the fusion of federated learning with industrial systems. His landmark survey, "Fusion of Federated Learning and Industrial Internet of Things," has garnered over 284 citations, establishing a foundational framework for secure, decentralized data processing in smart manufacturing and critical infrastructure. Pandya’s research addresses the critical challenge of enabling collaborative AI without compromising sensitive industrial data, proposing novel architectures that balance efficiency with robust privacy guarantees. Beyond this, his broader portfolio explores adversarial machine learning, intrusion detection, and edge intelligence, consistently pushing the boundaries of trustworthy AI deployment. His work is widely cited by engineers and academics seeking practical solutions for resilient, data-driven industrial ecosystems. Pandya’s contributions have been recognized through multiple best paper awards and invited talks at major conferences, cementing his reputation as a key architect of next-generation, privacy-aware cyber-physical systems.
Research Focus
Key Achievements
Top Papers
- 1Fusion of Federated Learning and Industrial Internet of Things: A survey284 citations · 2022