Overview
Terahertz (THz) technology lies between microwave and infrared regions of the electromagnetic spectrum and is gaining prominence due to its non-ionizing, highly sensitive, and non-invasive nature. Deep learning methods, especially convolutional neural networks (CNNs), are revolutionizing the way data from THz sensors is processed and interpreted. This expert talk aims to introduce students to the synergy between deep learning and THz sensors, showcasing their real-world applications in biomedical diagnostics (like cancer detection and tissue analysis) and industrial inspection (like non-destructive testing, quality control, and material characterization).
Objectives of Event
- Understand the basics of Terahertz (THz) technology and its unique properties.
- Explore how deep learning enhances data interpretation from THz sensors.
- Identify key biomedical applications of THz sensors integrated with AI.
- Examine industrial use cases involving THz-based non-destructive testing and quality control.
Convener Details
- Prof. (Dr.) Parma Nand (Pro VC)
- Prof. (Dr.) Geetha G. (Dean, SSCSE)
- (Dr.) Rajneesh Singh (HoD, CSA)
Co-ordinators:
- Prof. (Dr.) Khushoo Tripath (Dept. of CSA)
Speaker Details:
- Prof. (Dr. NP Yadav) (Hubei Polytechnic University, China)