Madan Baduwal

PhD in CSE | Mississippi State University

Jan 2025 - Present

PhD in Computer Science & Engineering at Mississippi State University. Graduate Research Assistant working on Signal Processing, Algorithms/ML/Computing, Wireless Communication, Cybersecurity, and Robotics.

Jan 2023 - Dec 2024

Graduate Research Assistant and Student Assistant Editor at University of Texas Permian Basin under Prof. Quan Yuan. Researched polyp segmentation and multimodal AI by fine-tuning models including YOLOv8, U-Net, Detectron, CLIP, ViLBERT, LXMERT, BLIP, and LLaVA, curated university-ready text-image datasets, and supported publication editing for the UTPB Journal of Undergraduate Research and UG Research Book.

Jan 2022 - Dec 2022

Senior Machine Learning Engineer at Fusemachines. Led development of Matrice.ai, a no-code data-centric AI platform that cut deployment time by 40% and development cost by 80%, built ML SaaS products for 5+ hospitals, and automated otoscopy image segmentation that generated $100k annually.

Jan 2021 - Dec 2021

Computer Vision Engineer (R&D) at National Innovation Center. Built vision and navigation systems for service robots, improving edge inference and pathfinding, including collaboration with Mahabir Pun.

Feb 2020 - Feb 2022

Machine Learning Engineer at Fusemachines. Led AI systems for education and phishing detection, supported large-scale deployments, and delivered workshops, trainings, and machine learning content for thousands of learners.

Aug 2019 - Feb 2020

Software Engineer Intern at Omnibluetech. Built Django APIs, AWS background workers, and web apps for document processing, retail, and consultancy systems.

2015 - 2019

BE in Computer Engineering at Tribhuvan University, Institute of Engineering, working under Prof. Sanjeev Prasad Panday. This is also where I built my foundation in AI, software engineering, mathematics, and vision robotics.

Select Publications

Federated Learning: A Survey of Core Challenges, Current Methods, and Opportunities

Madan Baduwal, Priyanka Paudel, Vini Chaudhary

Computers, 2026

A survey of the main systems and learning challenges in federated learning, covering practical constraints, current methods, and open opportunities for future work.

Paper Bibtex

Lightweight Multimodal Radar Interference Detection at Low SINRs

Madan Baduwal, Vini Chaudhary

IEEE International Conference on Communications (ICC), 2026

A lightweight multimodal approach for radar interference detection in low-SINR settings, designed for communication-constrained and practical deployment scenarios.

Publication Bibtex

PERFECT: Personalized Federated Learning for CBRS Radar Detection

S. U. Khan, Madan Baduwal, V. Chaudhary, D. Roy

IEEE International Conference on Computer Communications and Networks (ICCCN), 2026

Personalized federated learning for CBRS radar detection, focusing on participant heterogeneity and more adaptive local-global model behavior.

Paper Bibtex

Who Ran My Circuit: Calibration Data-Based Fingerprinting of Quantum Cloud Hardware

W. Patterson, Madan Baduwal, V. Chaudhary

IEEE International Conference on Computer Communications and Networks (ICCCN), 2026

A study of whether calibration data can be used to fingerprint quantum cloud hardware and identify which underlying circuit platform executed a workload.

Publication Bibtex

Hybrid (Transformer+ CNN)-based Polyp Segmentation

Madan Baduwal

arXiv preprint, 2025

A medical imaging segmentation pipeline that combines transformer-style context modeling with convolutional detail recovery for more accurate polyp segmentation.

Paper Bibtex