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Muhammad Zunnurain Hussain

Muhammad Zunnurain Hussain

Assistant Professor & Cybersecurity researcher — IoT, Cloud, ML

MZunnurain
Lahore, Pakistan
Joined November 2025
Favicon imagebahria.edu.pk
Favicon imagescholar.google.com
Favicon imageresearchgate.net
Favicon imageorcid.org
Favicon imagelinktr.ee
Favicon imagepeerj.com
Favicon imageupwork.com

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Summary

Applied research and publications in IoT and network security: Zunnurain has focused much of his research on IoT/wireless sensor network security and ML-based intrusion detection. He is an author on peer‑reviewed pieces (PeerJ Computer Science, IEEE Access and related outlets) that propose trust‑based routing metrics (SF‑MRTS) and energy‑aware encryption/detection frameworks for constrained devices. peerj+2
Academic teaching and student mentorship: he holds an assistant professorship at Bahria University Lahore Campus, leads the ADP‑CS cluster and coordinates final year projects, and serves as visiting faculty at multiple Pakistani universities, indicating a strong commitment to undergraduate education and project supervision. edu+1
Industry leadership and technology consulting: public profiles and CV/resume entries list senior technical leadership roles (CTO / Director / VP) at small-to‑mid sized tech firms (RedEX Gaming Studio, RGP Global IT, Zee Outsourcing Solutions), showing experience bridging academic research, applied cybersecurity, and product/engineering leadership. topline+1
Community, professional service and peer review: he is active in IEEE student‑branch mentorship (Branch Counselor at IEEE BULC), serves as a reviewer/editor for multiple journals, and maintains ORCID/Google Scholar/ResearchGate profiles — indicating ongoing peer‑review and editorial engagement. ieee+2

Work

Education

Projects

Writing

An efficient detection of Sinkhole attacks using machine learning: Impact on energy and security

January 1, 2025

PLOS One article describing SFlexCrypt and ML-based sinkhole detection approaches for WSN/IoT with an emphasis on detection accuracy and energy considerations.

Favicon imagepmc.ncbi.nlm.nih.gov

An efficient secure and energy resilient trust-based system for detection and mitigation of sybil attack detection (SAN)

August 1, 2024

PeerJ Computer Science article describing SF-MRTS, a trust-based routing metric and mitigation scheme for Sybil attacks in RPL-based IoT networks.

Favicon imagepeerj.com

Hobbies

Active on social platforms (Instagram, TikTok) and maintains a Linktree with professional links. linktr

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