Hari Nandan K. a.k.a  Justin Alexia

Theoretical framework exploring discrete spacetime models and quantum gravity through mathematical unification of quantum mechanics and general relativity. Focuses on pre-geometric structures, Hilbert spaces, and quantized time at the Planck scale.

This work investigates foundational questions in physics using discrete mathematics and differential geometry, aiming to develop a consistent model where quantum indeterminacy and gravitational curvature coexist without contradiction.

Q-SAFE is a security-by-design framework for educational and grassroots technology platforms, integrating offensive security testing, data privacy controls, and policy-aware deployment practices.

Built to address the unique threat landscape of rural EdTech systems, Q-SAFE combines vulnerability scanning, secure authentication, and institutional compliance checks ensuring technology remains both accessible and defensible.

Investigated anomaly-based detection of IoT botnets by analyzing network traffic patterns, particularly MQTT protocol behavior. Developed machine learning models to identify compromised devices in real time.

Used Python, Scikit-learn, and Pandas to train classifiers on simulated botnet traffic captured via Wireshark. Evaluated performance using precision, recall, and F1-score metrics under varying network conditions.

Continuous research into novel attack vectors, mobile penetration testing toolchains (Termux/Parrot OS), and automation of vulnerability discovery. Includes development of custom payloads and AWT MODS for field testing.

Focus areas include red team simulation fidelity, privacy-preserving reconnaissance, and hardening of embedded/IoT systems against supply-chain and runtime exploits.