Sathish Kumar P A

About

A technology educator and researcher with 8+ years of industry experience (TCS) and a current specialization in Artificial Intelligence and Quantum Computing.Core Focus:Teaching: Guiding the next generation of engineers in the Dept. of AI & Data Science at Grace College of Engineering.Research: Ph.D. Scholar at SRM Institute of Technology (Trichy). actively researching Quantum Machine Learning (QML) to optimize neural network performance.Industry: Extensive background in SDLC, Agile methodologies, and client management for US markets.Technical Interests:Quantum Machine Learning (VQE, QSVM, QNN)Deep Learning & Computer VisionPython & Data Science StackOpen to connecting with fellow researchers, students, and industry professionals interested in the intersection of Quantum Mechanics and AI.

Employment

• Grace College of Engineering Assistant Professor
  2025 - Present

Education

• SRM Institute of Science and Technology Doctor of Philosophy
  2026 - 2028

Projects & Funding

Projects & funding information is unavailable.

Publications (5)

• AegisFlash: Multimodal Disaster Intelligence, Sensor-Silence Anomaly Detection, and Operations Research for Real-Time Flash-Flood Response and Counterfactual Evaluation
  2026 DOI: 10.21203/rs.3.rs-10880300/v1
  +Save
• Hybrid quantum–classical neural kernel emulator for scalable drive-by attack detection
  Array 2026 DOI: 10.1016/j.array.2026.101090
  +Save
• Evolutionary Quantum Autoencoders for Adaptive Teleportation-Mediated Gate Synthesis    
  2026 DOI: 10.36227/techrxiv.176826763.38071316/v1
  +Save
• Q-RESCUE: A Quantum-Redox-Informed Computational Software Framework for Pre-Shock Intervention Timing in Critical Care
  2026 DOI: 10.2139/ssrn.7305296
  +Save
• AI-Driven Career Forecasting for Higher Education: Predicting Skill Gaps
  International Conference on Recent Innovation in Technologies ICRIT'25
  +Save