Amitabh Yadav
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© 2025 Amitabh Yadav

Amitabh Yadav

Doctoral Researcher

Amitabh Yadav

I am a second year Ph.D. Candidate at the **Integrated Neurotechnologies Laboratory** working under the supervision of Prof. Mahsa Shoaran at **École Polytechnique Fédérale de Lausanne (EPFL)**. My research focuses on designing low-power digital/mixed-signal integrated circuits for closed-loop brain-computer interfaces, and their in-vitro/in-vivo characterisation for diagnosis and treatment of neurological disorders. Beyond academics, I like white-hat hacking on networks, learning to play the piano and making freehand pencil sketches. In my free time, I enjoy reading and am passionate about running, swimming, and hiking, combining my love for nature and city life.
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Research Interests

Low-Power Digital Design·Mixed-Signal Circuits·AI Accelerators·Hardware-Software Co-Design·Deep Learning·Artificial General Intelligence

News

Dec 2025Awarded the IEEE SSCS Student Travel Grant Award to attend the ISSCC 2026 conference in San Francisco!
Sep 2025Attended the course on 'Integrated System Design for 5nm era' by MEAD Education at EPFL
Sep 2025Attending the ESSERC Conference in Munich, Germany!
Mar 2025Published the paper on 'A 32-Channel 196-μW Logarithmic SoC for Brain Network Connectivity Extraction and Adaptive Psychiatric Symptom Classification' at VLSI Symposium Conference, Kyoto, Japan.
Jan 2025MiBMI featured in 'Our top 10 news articles from 2024' of EPFL!

Education

2024–Present
Ph.D. in Electrical Engineering — École Polytechnique Fédérale de Lausanne (EPFL), Switzerland

Designing low-power digital signal processing and machine learning ASICs for brain-computer interfaces.

2019-2021
Research Affiliate in Physics — University of California, Berkeley, United States of America

Quantum information, theory of quantum computing and hardware for machine learning

2017–2019
M.Sc. in Computer Engineering — Delft University of Technology, The Netherlands

Specialization in computer architecture and quantum computing.

2013–2017
B.Tech. in Electronics Engineering — University of Petroleum and Energy Studies, India

Foundations in digital VLSI, signal processing, communication systems and embedded systems design.

Experience

2020–2023
Fellow — CERN

Electronics and hardware/software co-design for CERN's radiation monitoring and interlock routing systems.

2019–2021
Research Associate — Lawrence Berkeley National Laboratory

Quantum pattern recognition algorithms for high-energy physics applications at ATLAS/CERN.

Recent Articles

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Becoming a Reading NinjaDec 2023Richard Hamming: You and Your ResearchJun 2023The Hardware Lottery: We may be trying to build a ladder to the MoonMar 2023