Sayan Bandyopadhyay
Website | s.bandyopadhyay.1@research.gla.ac.uk
https://orcid.org/0009-0001-9155-9525
Research title: Artificial Intelligence-Driven Photonic Integrated Circuits for Advanced Sensing
Research Summary
Current Research
The advent of Photonic Integrated Circuits (PICs) has been a significant milestone in science and technology by enabling chip-integrated routing, manipulation, and detection of light. One of the main applications for PICs is data communications followed by sensing (e.g., gas sensors, autonomous vehicles) and biomedical applications such as lab-on-a-chip devices. Other applications include power-saving LEDs and more recently computation and quantum technologies.
Alongside these breakthroughs, Artificial Intelligence (AI) is reshaping our interaction with technology by developing advanced computing systems that mimic and exceed certain human capabilities. Machine learning (ML) as a broader discipline has changed the dynamics in which data is analysed and created niches for R&D opportunities where semiconductor physics can majorly benefit from advanced implementation of predictive/classification technologies.
By leveraging ML techniques and advanced nanofabrication, PICs are positioning as key enablers for next-generation chip-integrated platforms. ML is already reshaping the way data can be interpreted in photonics, and such a data-driven approach is poised to transform our way to design PICs and interpret experimental data.
