GithubHelp home page GithubHelp logo

About me

I am a first year PhD student at UIUC-ECE and H-MNTL, advised by Prof. Lynford L. Goddard. My research focuses on exploring and observing nonlinear and Quantum optical capabilities of volumetric optical devices, fabricated using subsurface controllable refractive index via beam exposure (SCRIBE) method, a lithographic approach that enables the tuning of the refractive index inside photoresist-filled nanoporous silicon and silica scaffolds.

Before starting my doctoral studies, I obtained my B.S. from the Department of Electronics and Telecommunication Engineering, Indian Institute of Engineering Science and Technology, Shibpur, where I was advised by Prof. Partha Bhattacharya. Throughout my undergraduate studies, I researched in various directions concerning Optical Physics, Mathematics and Engineering. During the period of 2021 to 2023 summer, I was remotely associated with the UCAT LAB under the supervision of Prof. Ishan G. Thakkar at the University of Kentucky. I researched on understanding and characterizing the power handling capabilities of Silicon Microring Resonator-based electr-optic modulators used in photonic integrated circuits. I performed numerical simulations, which suggested that the fabrication impurities also had a greater role in modulating the power handling capabilities. During the same timeframe, I was also remotely associated to BrainSyS LAB under Prof. Arindam Basu at the City University of HongKong. I worked on developing lightweight, online reinforcement learning based motor decoders for Intra-Cortical Brain Machine Interfaces. Other than this, I held numerorus other appointments, which included brief visits at the PEEL LAB, Indian Institute of Technology, Bombay, SPIRE LAB at Indian Institute of Science, Bangalore and Prof. Sukhdev Roy's Lab at DEI, Agra. My visits were all sponsored/supported by the faculty or Indian Academy of Sciences (IASc) Summer Research Fellowship

For the longest duration in my undergrad, I also engaged in research collabortions and projects mostly in the feild of statistical learning with implications in bioinformatics, and medical image segmentation. I am grateful to my list of collaborators: Sayan Sarkar, HKUST; Dr. Peter Charlton, University of Cambridge; and Dr. Haipeng Liu, Coventry University, UK.

Current Research Interests

Nonlinear and Adaptive Optics, Quantum Optics, Optoelectronics, Volumetric Photonic Integrated Circuits, Multiphoton Lithography, Photonics-based Metrology and Instrumentation

Important Links

Aayushman Ghosh's Projects

catfa-net-pytorch icon catfa-net-pytorch

Official Pytorch code of "CATFA-Net: An Inspired Trans-Convolutional Network for Medical Image Segmentation" - IEEE TMI

h-scsa-bp-estimation icon h-scsa-bp-estimation

Official repository for Schrodinger Spectrum based BP estimation using PPG signals - CMB 2023

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.