Nges Brian Njungle

Passionate about applied cryptography, formal methods, privacy-preserving computations, and security. Building scalable, performance-efficient secure systems that bridge security theories and real-world constraints.

Ph.D. candidate in Computer Engineering at Arizona State University (2023 - Present), with a Master of Business Administration from University of the People, Pasadena, California (2021 - 2023) and a Bachelor of Engineering in Computer Engineering from the University of Buea (2014 - 2018).

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Nges Brian

Recent News

Relevant Projects

FHEON

Configurable framework for developing privacy-preserving neural networks using Homomorphic Encryption.

GitHub Website

Sentinel Touch

Lightweight privacy-preserving biometric-fingerprinting authentication and identification system based on neural networks and Homomorphic Encryption.

GitHub

VIPER

A Private Information Retrieval systems based on Homomorphic Encryption. It supports efficient retrieval of multi-attribute database records together with a lightweight integrity verification mechanism.

Website

AMAZE

Accelerated MiMC Hardware Architecture for Zero-Knowledge Proof systems on the Edge. Finalist for Top Picks in Hardware and Embedded Security 2025.

GitHub

Faster Crystals

Optimized PQC primitives (ML-KEM and ML-DSA) for high-performance execution across NIST FIPS security levels. Developed co-design architectures achieving up to 60% performance improvements.

FAVE

Constant-Time and Memory Safety Binary Analysis Tool. Proposed a new approach for constant-time verification based on low-level instruction traces to detect timing side-channel vulnerabilities.

Selected Research Publications

  • FHEON: A Configurable Framework for Developing Privacy-Preserving Neural Networks Using Homomorphic Encryption
    Nges Brian Njungle, Eric Jahns, Michel A. Kinsy.
    Proceedings on Privacy Enhancing Technologies Symposium (PoPETS/PETS'26) 2026, Issue 4. [PDF]
  • SentinelTouch: A Lightweight Privacy-Preserving Biometric-Fingerprinting Authentication and Identification System Based on Neural Networks and Homomorphic Encryption
    Nges Brian Njungle, Eric Jahns, Mishel Jyothis Paul, Michel A. Kinsy.
    Proceedings on Privacy Enhancing Technologies Symposium (PoPETS/PETS'26) 2026, Issue 2. [PDF]
  • PrivSpike: A Privacy-Preserving Inference Framework for Deep Spiking Neural Networks using Homomorphic Encryption
    Nges Brian Njungle, Eric Jahns, Milan Stojkov, Michel A. Kinsy.
    Applied Cryptography and Network Security (ACNS'26), Issue 1, 2026. [PDF]
  • Gotta Hash 'Em All! Speeding Up Hash Functions for Zero-Knowledge Proof Applications
    Nojan Sheybani, Tengkai Gong, Anees Ahmed, Nges Brian Njungle, Michel A. Kinsy, Farinaz Koushanfar.
    Proceedings of the 44th IEEE/ACM International Conference on Computer-Aided Design (ICCAD'25), 2025. [PDF]
  • Activate Me!: Designing Efficient Activation Functions for Privacy-Preserving Machine Learning with Fully Homomorphic Encryption
    Nges Brian Njungle, Michel A. Kinsy.
    International Conference on Cryptology in Africa (AFRICACRYPT'25), Cham: Springer Nature Switzerland, 2025. [Link]
  • AMAZE: Accelerated MiMC Hardware Architecture for Zero-Knowledge on the Edge
    Anees Ahmed, Nojan Sheybani, Davi Moreno, Nges Brian Njungle, Tengkai Gong, Michel Kinsy, Farinaz Koushanfar.
    Proceedings of the 43rd IEEE/ACM International Conference on Computer-Aided Design (ICCAD'24) [PDF]

Selected Experiences

Aug 2025 — Present
Laboratory Lead
Adaptive & Secure Computing Systems (ASCS) Lab | STAM Center

Recruit and mentor students, guide research, coordinate center-wide activities, and contribute to white papers.

Aug 2023 — Present
PhD Candidate - Computer Engineering (Secure Systems Design and Development)
Arizona State University (Advisor: Prof. Michel Kinsy)

Conduct research on secure and privacy-preserving technologies, focusing on cryptographic algorithms, heterogeneous computing domains, and formal verification.

Jan 2023 — Aug 2023
Data Scientist
Biosfera360, Maryland, United States

Designed and implemented machine learning models to analyze and predict desertification on geo-spatial trends.

Oct 2019 — Nov 2019
Cryptographic Software Engineering Intern
BlackHorse Solutions, Virginia, USA

Prototyped quantum-safe cryptographic primitives and integrated them into security-centric systems.

Sept 2016 — Sept 2023
Co-Founder & CEO
ABEBOH LLC, Buea and Douala, Cameroon

Spearheaded the design and delivery of client and in-house tech solutions, including a multi-award-winning music social media platform serving 30,000+ users.

Mar 2016 — Aug 2016
Google Summer of Code (GSoC) Intern
Google / Apache Software Foundation, USA

Developed unit tests and the regression testing suite for the open-source Mynewt Operating System (IoT-OS).

Spring 2026
Co-Instructor & Teaching Assistant
SCAI, Arizona State University

Co-Instructor for Hardware Security & Trust (CSE/CEN 598). TA for Advanced OS (CSE 536) and Introduction to Programming Languages (CSE 240).

Selected Awards & Honors

2025
Selected, Top Picks in Hardware and Embedded Security
Best and high impact papers published in 6 years at leading proceedings eg ISCA, ICCAD, DAC, ASPLOS etc.. Project: AMAZE
2018
Shortlist, African Prize for Engineering and Innovation
Founded by the Royal Academy of Engineering-UK, is Africa's biggest prize dedicated to engineering innovation. Project: Muzikol
2017
Winner, Best Innovation, Bonteh Digital Media Awards
Cameroon's largest media and technology awards dedicated to honoring local pioneers in the digital economy. Project: Muzikol

Selected Community Engagements