Secure IoT Communications with Optimized AES and Dynamic Threat Modeling on Embedded System
IEEE Transactions on Consumer Electronics, vol. 72, no. 1, pp. 971–982
Now at the qCLOUDS Lab, University of Melbourne
I build trust into hardware, so connected vehicles, IoT devices and quantum-era networks can prove who they are.
Visiting Researcher at

A physical unclonable function (PUF) turns microscopic manufacturing differences into a response nobody can copy. Set a challenge, then ask two chips made from the same design. This demo runs a simulated arbiter PUF in your browser.
Responses appear here. Bits where the chips disagree get a butter-yellow ring.
Authentication rooted in silicon variation: SRAM, arbiter and MEMS-based PUFs, and protocols light enough for vehicles and sensors.
Reputation-aware and proof-of-energy consensus for EV energy trading and tamper-evident IoT ledgers.
Fault-tolerant distributed quantum computing, post-quantum cryptography and quantum-aware distributed ledgers.
Fog computing for VANETs, collaborative autonomous driving and LoRa localization where GPS fails.
IEEE Transactions on Consumer Electronics, vol. 72, no. 1, pp. 971–982
Ad Hoc Networks, vol. 181, p. 104059
IEEE Transactions on Vehicular Technology, vol. 75, no. 8, pp. 16137–16149
IEEE Transactions on Mobile Computing, vol. 23, no. 12, pp. 12778–12792
Physical unclonable functions turn manufacturing randomness into a fingerprint no one can copy. Here is how they are built, measured, made reliable and attacked, with simulations you can run.
, 8 min read
A complete, tested setup with Prometheus, Grafana, Node Exporter, cAdvisor, Alertmanager, Blackbox Exporter and Pushgateway, plus how to monitor your own experiments and batch jobs.
, 10 min read
I am open to research collaborations, visiting positions and invited talks.