Edge AI
Optimization of AI models for resource-constrained edge devices using techniques like model compression, quantization, and efficient inference algorithms, enabling real-time data analysis and decision-making locally.

Computer Vision
Development of sophisticated computer vision algorithms for diverse applications, including autonomous vehicles and security systems, leveraging advanced machine learning for accurate object detection, tracking, and recognition.

Synthetic Data
Creating datasets for mimicking real-world scenarios to train machine learning models, improving algorithm robustness, enhancing accuracy, and mitigating model biases.

Signal Processing
Research focus on scalable and efficient signal processing systems for real-time high-volume data streams.

Multispectral Imaging
Imaging beyond the visible spectrum, providing insights into material composition and environmental monitoring for applications in the food industry, defense, space exploration, and more.