Anirudh Nakra

Hi, I am
.

Latest News
May'24 - Won Campus 3MT Competition @ UMD
Mar'24 - Won Engineering 3MT Competition @ UMD
Aug'23 - Selected a GLEAM fellow @ UMD ECE
Jan'23 - Started PhD program @ UMD ECE
Aug'22 - Grad Summer Intern @ Hughes
Aug'21 - Started MS program @ UMD ECE

I am a PhD student at the University of Maryland, College Park advised by Prof Min Wu where I am specialising in signal processing with a focus on explainability. I am working at the intersection of statistical signal processing and explainable machine learning to solve critical research problems.

I am currently a part of the Media and Security Team led by Prof Wu. In the past, I did my bachelors thesis on designing circularly polarised antennas for 5G systems under the guidance of Prof Asok De. I was previously a graduate signal processing algorithms intern at Hughes Network Systems and briefly worked as an undergrad at Bharat Electronics .

I graduated with a B.Tech (First Class with Distinction) in Electronics and Communication Engineering from Delhi Technological University, Delhi, India in 2021 . For more details, check my CV or contact me on my email.

MAFE: Multi-Agent Fair Environments for Decision-Making Systems
Zachary Lazri, Anirudh Nakra, Ivan Brugere, Danial Dervovic, Antigoni Polychroniadou, Furong Huang, Dana Dachman-Soled, Min Wu
Accepted at ICML 2026
arXiv

PhysioGMC: Generalizable Multi-modal Coordination for Physiological Signals
Mudi Zhang, Anirudh Nakra, Min Wu
Accepted at IJCAI 2026

Exposing Vulnerabilities in Counterfeit Prevention Systems Utilizing Physically Unclonable Surface Feature
Anirudh Nakra, Nayeeb Rashid, Chau-Wai Wong, Min Wu
arXiv preprint, 2025 | Under revision
arXiv

Understanding Semantic Perturbations on In-Processing Generative AI Watermarks
Anirudh Nakra, Min Wu
arXiv preprint, 2026 | Under review at ML Conference
arXiv

Position: 3D Gaussian Splatting Watermarking Should Be Scenario-Driven and Threat-Model Explicit
Yangfan Deng, Anirudh Nakra, Min Wu
arXiv preprint, 2026 | Under review at ML Conference
arXiv

SoK: Fighting Counterfeits with Cyber-Physical Synergy Based on Physically-Unclonable Identifiers of Paper Surface
Anirudh Nakra, Chau-Wai Wong, Min Wu
arXiv preprint, 2024 | Under revision
arXiv

Surface-Based Authentication System for Integrated Circuit Chips
Runze Liu, Prasun Datta*, Anirudh Nakra*, Chau-Wai Wong, Min Wu
arXiv preprint, 2024 | Under review at IEEE Journal
arXiv

Indoor Light Surface Authentication via Digital Twin
Prasun Datta, Nayeeb Rashid, Anirudh Nakra, Chau-Wai Wong, Min Wu
Under preparation

Never-Miss-A-Beat: A Causal-CVAE Based Physiological Digital Twin Framework for Cardiovascular Health
Xin Tian, Mudi Zhang, Zachary Lazri, Anirudh Nakra, Min Wu, Sushant Ranadive
Under review at IEEE Journal

Design of High Bandwidth Circularly Polarised Antipodal Vivaldi Array for 5G Application
Anirudh Nakra, Abhijeet Vats, Asok De
2021 2nd IEEE International Conference for Emerging Technology
IEEE Paper

* denotes equal contribution

XAI techniques for uncovering Spurious Correlations
Anirudh Nakra, Henok Gebeyehu
Report

Comparing Modern v/s Traditional Image Inpainting algorithms
Anirudh Nakra
Report| Code

Solving Underwater SLAM
Anirudh Nakra, Henok Gebeyehu, William Chen
Report

A face classifier and digit recognizer from scratch
Anirudh Nakra
Face Classifier | Report| Code
Digit Recognizer | Report| Code

Efficient implementations of Fixed and Floating point MODEMs
Anirudh Nakra
Report| Code

Spring 2023, Fall 2022 & Spring 2022
ENEE439D : Design Experiences in Machine Learning

Fall 2021
DATA 603 : Principles of Machine Learning

ENEE620 : Random Processes : (A)
ENEE621 : Estimation and Detection Theory : (A)
ENEE630 : Advanced Digital Signal Processing : (A+)
ENEE631 : Digital Image and Video Processing : (A+)
ENEE633 : Statistical Pattern Recognition : (A+)
ENEE662 : Convex Optimisation : (A)
CMSC828L : Deep Learning : (A)
CMSC848D : Explainable NLP : (A)