Sameer Mankotia

Sameer Mankotia

he/him

PhD Researcher in Computer Architecture & AI | RISC-V Specialist | Full-Stack Developer | SEL Grant Fellow

Publications

You can also find my articles on my Google Scholar profile.

Journal Articles

Deep Learning-Powered Interactive Art: A Framework for Gesture Recognition and Multi-Style Digital Painting using MediaPipe and TensorFlow

Published in IRE Journals, 2024

This paper presents an interactive virtual painting system that utilizes computer vision and hand-tracking technologies to create a natural and intuitive digital art experience using MediaPipe for real-time hand landmark detection and OpenCV for image processing.

Recommended citation: Mankotia, Sameer. (2024). "Deep Learning-Powered Interactive Art: A Framework for Gesture Recognition and Multi-Style Digital Painting using MediaPipe and TensorFlow." IRE Journals. 8(6), 508-522.
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FedPrIDS: Privacy-Preserving Federated Learning for Collaborative Network Intrusion Detection in IoT

Published in MDPI - Future Internet, 2024

This paper presents FedPrIDS, a novel privacy-preserving federated learning framework for collaborative network intrusion detection in IoT environments, addressing critical security challenges while maintaining data privacy across distributed networks.

Recommended citation: Mankotia, Sameer, Conte de Leon, Daniel*, and Rimal, Bhaskar P. "FedPrIDS: Privacy-Preserving Federated Learning for Collaborative Network Intrusion Detection in IoT." Department of Computer Science, University of Idaho, Moscow, ID 83844, USA.
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An Online Machine Learning System for Bandgap Engineering

Published in SSRN Electronic Journal, 2024

This paper introduces MatFlow, a web-based machine learning platform for materials science that supports both forward and inverse design of materials, with specific application to bandgap prediction for semiconductor design.

Recommended citation: Jamil, Hasan and Rahman, Hasan and Mankotia, Sameer. (2024). "An Online Machine Learning System for Bandgap Engineering." SSRN Electronic Journal. Available at SSRN: https://ssrn.com/abstract=4808029
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