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Hello there! 👋

About me 👨🏻‍💻

I am currently at IIIT-H pursuing a Dual Degree (BTech+MS) in Electronics and Communication Engineering. I was an undergraduate researcher working under the guidance of Dr. Abhishek Srivastava in the IC~WiBES Research Lab (Integrated Circuits inspired by Wireless and Biomedical Electronic Systems) at the Centre for VLSI and Embedded System Technologies, IIIT-H. I was also a Google Summer of Code 2021 student developer at the Free and Open Source Silicon Foundation and I worked on FuseSoC integration of BaseJump STL in basejump_stl_cores. I have previously wroked on low gain variation voltage controlled oscillator design and frequency synthesizer/microwave signal generator design for quantum sensing applications, deep learning based respiratory sound classification and deep learning based object classification using FMCW radars.

Publications

  1. A. S. Edakkadan, K. Desai and A. Srivastava, "A 2.75-2.94 GHz Voltage Controlled Oscillator with Low Gain Variation for Quantum Sensing Applications," 2022 35th International Conference on VLSI Design and 2022 21st International Conference on Embedded Systems (VLSID), Bangalore, India, 2022, pp. 186-191, doi: 10.1109/VLSID2022.2022.00045.

  2. A. S. Edakkadan, K. Saha, M. S. Baghini and A. Srivastava, "Design of 2.87 GHz Frequency Synthesizer with Programmable Sweep for Diamond Color Defect based CMOS Quantum Sensing Applications," 2022 IEEE International Symposium on Circuits and Systems (ISCAS), Austin, TX, USA, 2022, pp. 3092-3096, doi: 10.1109/ISCAS48785.2022.9937824.

  3. A. S. Edakkadan and A. Srivastava, "Deep Learning Based Portable Respiratory Sound Classification System," 2023 IEEE Asia Pacific Conference on Circuits and Systems (APCCAS), Hyderabad, India, 2023, pp. 129-133, doi: 10.1109/APCCAS60141.2023.00039.

  4. H. Kambham, S. S. Chatterjee, A. S. Edakkadan and A. Srivastava, "Analysis and Design of Low Phase Noise 20 GHz VCO for Frequency Modulated Continuous Wave Chirp Synthesizers in mmWave Radars," 2023 36th International Conference on VLSI Design and 2023 22nd International Conference on Embedded Systems (VLSID), Hyderabad, India, 2023, pp. 395-400, doi: 10.1109/VLSID57277.2023.00084.

  5. S. Mantha, A. S. Edakkadan, A. Sahni and A. Srivastava, "An mmWave Frequency Range Multi-Modulus Programmable Divider for FMCW Radar Applications," 2023 36th International Conference on VLSI Design and 2023 22nd International Conference on Embedded Systems (VLSID), Hyderabad, India, 2023, pp. 407-412, doi: 10.1109/VLSID57277.2023.00086.


You can connect with me on

Adithya's Discord Adithya's LinkedIN

Adithya Sunil Edakkadan's Projects

awesome-portfolio-websites icon awesome-portfolio-websites

A community maintained open source project aimed at making a personal portfolio for researchers, developers, and analysts simple, fast, and less cumbersome. We make sure you have a full-fledged website to showcase your work while you can spend time on your learning and innovative endeavors.

basejump_stl icon basejump_stl

BaseJump STL: A Standard Template Library for SystemVerilog

basejump_stl_alu icon basejump_stl_alu

Core created as a proof of concept for BaseJump STL integration into FuseSoC. Simple ALU with an SRAM generated by bsg_fakeram.

carry-lookahead-adder icon carry-lookahead-adder

4-bit Carry Lookahead Adder - RTL implementation in Verilog, SPICE netlist and MAGIC layouts

cciot-not-a-helmet icon cciot-not-a-helmet

IoT system with dashboard for monitoring working conditions in mines and alerting workers in emergencies.

docs icon docs

The open-source repo for docs.github.com

fusesoc icon fusesoc

Package manager and build abstraction tool for FPGA/ASIC development

gsoc-21-project-report icon gsoc-21-project-report

Final report for Google Summer of Code 2021 project 'Porting BaseJump STL to FuseSoC' under FOSSi Foundation.

homebrew-cask icon homebrew-cask

🍻 A CLI workflow for the administration of macOS applications distributed as binaries

homebrew-core icon homebrew-core

🍻 Default formulae for the missing package manager for macOS

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