Research Areas
Established in 2024, the Artificial Intelligence Systems Laboratory focuses on developing scalable, efficient, and robust AI systems that can perceive, reason, learn, and interact with humans and environments intelligently. Our research explores advanced technologies, including deep learning, reinforcement learning, and neuromorphic computing, to address complex real-world challenges across diverse domains such as healthcare, autonomous systems, smart cities, and agricultural remote sensing. By integrating theoretical approaches like ANN dynamics analysis with energy-based modeling, we aim to advance both the scientific foundation and practical applications of AI.
- Artificial Intelligence and Machine Learning
- Deep Learning and Reinforcement Learning
- Analysis of Artificial Neural Network (ANN) Dynamics
- Neuromorphic Computing
- Energy- and Entropy-Based Modeling
- Hyperparameter Optimization and Performance Prediction
- Application Domains: Healthcare, Autonomous Systems, Smart Cities, Precision Agriculture
Affiliated Faculty Members