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Anindita ChattopadhyayAC
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Anindita Chattopadhyay

@aninditachattopadhya1

I build GNN-based hardware security verification and real-time FPGA intrusion detection systems.

India
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What I'm looking for

I'm seeking a PhD position to advance hardware security, side-channel and fault-injection analysis, and trustworthy AI systems for chip and system verification.

At ADE/DRDO, I've built graph neural network pipelines that turn raw Verilog netlists into RTL- and gate-level hardware Trojan detection and localization models. My work has resulted in four peer-reviewed IEEE and Springer publications, including an ICCC 2025 Best Paper award.

I've also designed a deterministic FPGA-based intrusion detection system for ARINC-825 avionics buses, delivering 40 ns latency at 100 MHz on a Xilinx Zynq-7020. The design distinguishes cyberattacks from hardware faults through dual-channel redundancy and was verified across 10 adversarial and fault-injection scenarios with a 100% pass rate.

Before research, I automated enterprise network diagnostics and provisioning at Accenture, reducing provisioning time by 30%. I'm seeking to extend my work in hardware security, side-channel and fault-injection analysis, and trustworthy AI for chip and system verification.

Experience

Work history, roles, and key accomplishments

AD
Current

Research Engineer

Aeronautical Development Establishment (ADE), DRDO

Dec 2022 - Present (3 years 8 months)

Designs and trains Graph Neural Network models for hardware Trojan detection in RTL and gate-level netlists. Built an end-to-end pipeline from raw Verilog to GNN classification and published 4 peer-reviewed papers.

Accenture logoAC

Network Associate

May 2018 - Mar 2020 (1 year 10 months)

Automated fault diagnostics and reporting for enterprise networks, reducing provisioning time by 30% through toolchain optimization. Managed activation and configuration of enterprise network circuits and performed circuit-level debugging and root cause analysis.

AD

FPGA-Based Intrusion Detection System

Aeronautical Development Establishment (ADE), DRDO

Designed a deterministic real-time hardware detection pipeline in Verilog achieving 40ns latency at 100MHz on Xilinx Zynq-7020 SoC. Engineered a dual-channel redundancy correlator distinguishing cyberattacks from hardware faults with zero misclassification.

Education

Degrees, certifications, and relevant coursework

B.M.S. College of Engineering logoBE

B.M.S. College of Engineering

Master of Technology, VLSI Design and Embedded Systems

2021 - 2023

Grade: 8.5

Pursued M.Tech in VLSI Design and Embedded Systems with a CGPA of 8.5.

EP

EPCET

Bachelor of Engineering, Electrical and Electronics Engineering

2014 - 2018

Completed Bachelor of Engineering in Electrical and Electronics Engineering.

Tech stack

Software and tools used professionally

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