Postdoctoral Research Associate
Machine Learning & AI Researcher
Developing efficient and robust AI systems that integrate artificial intelligence with practical applications across diverse domains. Specializing in visual computing, AI security, and intelligent computing systems.
My research develops efficient and robust AI systems that integrate AI with practical applications across diverse domains. I create innovative solutions in visual computing, Efficient AI, and intelligent computing that directly align with modern computer science priorities.
Advanced deep learning models for infrastructure inspection, defect detection, and remote sensing applications.
Developing ethical and robust machine learning systems, including trustworthy large language models.
Creating AI solutions for resource-constrained and interactive environments with real-time processing capabilities.
Physics-informed neural networks for ocean forecasting and data-driven modeling in scientific applications.
Towards Innovative Data Driven and Physics-Informed Neural Networks: Architectures for Ocean Forecasting
Leading research on developing advanced neural network architectures that combine data-driven approaches with physics-informed models for accurate ocean parameter forecasting.
Specialization: Applied Machine Learning & Autonomous Systems
Dissertation: Development of Advanced Autonomous Learning Algorithms for Nonlinear System Identification and Control
Thesis: Design Optimization of Magneto-rheological Damper with Improved Dispersion Stability
Focus: Power Systems & Control Engineering
Leading AI-powered transformation of infrastructure inspection through advanced deep learning models deployed in unmanned ground vehicles. Developing innovative solutions for defect detection with focus on data imbalance and real-time processing constraints for urban infrastructure maintenance.
Pioneered explainable machine learning frameworks for human-AI collaboration in air traffic management. Created innovative trust measurement systems between AI and air traffic controllers.
Developed machine learning-guided failure detection techniques for advanced nanoscale semiconductors. Combined first-principles physics-based modeling with data-driven approaches.