Core Areas
- Computer Vision, Semantic Segmentation, Image Processing
- Sensor-Based Imaging, Remote Sensing & Astronomical Imaging
- Deep Learning, Visual AI, Edge AI
- Embedded Systems, IoT & Smart Sensors
- Signal Processing & Wireless Communication
- Semiconductor Electronics (VLSI Fundamentals), Embedded AI Systems
Models & Methods
- CNNs, Vision Transformers, Mamba / State Space Models
- UNet Variants, Attention Mechanisms
- Feature Extraction, Model Optimization & Quantization
- Real-Time Inference Pipeliness
Robotics, Embedded AI & Deployment
- ROS2, TensorRT
- Edge Deployment (Jetson / Embedded Platforms)
- Hardware–Software Co-design Concepts
- AI Integration with Embedded & Sensor Systems
NLP & Multimodal
- Large Language Models (LLMs)
- OCR and Multimodel pipelines
Tools & Frameworks
- PyTorch, TensorFlow
- OpenCV, NumPy
- Git, Linux
- FastAPI, YOLO
