Skip to content
Nishant JagannathGet in touch
NJ / RESEARCH & ENGINEERINGCANBERRA, AU

HELLO!Nishant here,BUILDING TRUST INTHE NEXT GENERATIONOF INTELLIGENTSYSTEMS.

CLAIM: SUBJECT IS HUMAN · EVIDENCE: [REDACTED] · PROOF: VALIDTEST 0047CH1 CURIOSITYCH2 PULSECH3 TRUSTHUMAN THRESHOLDSUBJECT: UNKNOWN. OBSERVING.Q: ARE YOU A ROBOT?HESITATION: NOTED.HUMAN, AFTER ALLRECORDER A · PENS: 3STATUS: VERIFIED (PROVISIONAL)PAPER: 40 PX/S

Turn motion on in the footer to interact.

Verifiable AI

Checking model claims while protecting private information.

Explore project

I’m Nishant, a researcher and educator connecting
AI, digital engineering, and the world we live in.

SCROLL TO EXPLORE
[ 01 — SELECTED WORK ]IDEAS INTO EXPLORATIONS ↙
SimulationMODEL THEMOMENT.
FIRESIM
FireSim research simulation showing evacuation routes and shelters around Batemans Bay
SCENARIO EXPLORERRESEARCH SIMULATION
PEOPLE. NETWORKS. DECISIONS.
01 / 06

FireSim

Bushfire evacuation, communications resilience, and the decisions that connect them.

Simulation / Digital engineering
The aircraft story: five agents carry a cabin-door fit requirement from mission to assembly
RESEARCH FILM / 00:49Keep the intent.
02 / 06

Agent to Agent (A2A)

Intent drifts between agents. An aircraft door no longer fits.

Mission engineering / Agentic systems
SensingA NEWSENSE.
Electronic-nose laboratory sensor array with connected gas sensorsTHE LAB / SENSOR ARRAY
PUBLISHED RESEARCH
03 / 06

E-Nose

From an unfamiliar air sample to a recognisable pattern: sensing, calibration, and AI-assisted analysis.

Sensing / Connected systems
RadarBEYONDWHAT WE SEE.
EXPERIMENTAL PLATFORM
04 / 06

mmWave & UWB Radar

Exploring presence, movement, and breathing-related signals without physical contact.

Radar / Signal processing
BlockchainTRUST.CONNECTED.
PEER-REVIEWED RESEARCH
05 / 06

Blockchain & Networks

Trusted coordination across networks that do not share one operator.

Blockchain / Connected systems
A closed model vault beside a model claim, from the AI verification research film
RESEARCH FILM / 00:20Models. With proof.
06 / 06

Verifiable AI

Can an AI model support its claims without revealing its secrets?

AI / Cryptographic verification
[ 02 — HOW I THINK ]CONNECT THE DOTS.

GOOD QUESTIONS.
REAL POSSIBILITIES.

The interesting work happens where
disciplines meet the real world.

01

Question the system.

Start with the people, decisions, and assumptions behind a problem. Understand what matters before deciding what to build.

02

Make it tangible.

Turn an idea into something we can examine: a model, a sensing platform, a simulation, or a cryptographic proof.

03

Learn. Share. Repeat.

Research grows through collaboration. Bring the lessons into teaching, connect with industry, and keep asking better questions.

[ 03 — BEHIND THE WORK ]A HUMAN, AFTER ALL.

TECHNOLOGY MOVES FAST.
CURIOSITY GOES FURTHER.

Nishant Jagannath
Nishant Jagannath
RESEARCHER / EDUCATOR

I explore how intelligent systems can become more trustworthy, connected, and useful.

At the University of Canberra, my work brings together AI verification, blockchain, digital engineering, and sensing—with a persistent interest in the people at the centre of it all.

Let’s connect Google Scholar
CURRENT EXPLORATIONS
Trustworthy AIDigital twinsAgent-based modellingConnected systemsIntelligent sensing
A FEW STEPS ALONG THE WAY
Oct 2023 — Present

Lecturer in Network Engineering

University of Canberra

2020 — 2025

Doctor of Philosophy

University of Canberra

2018 — 2019

Master of Engineering (Network Engineering)

University of Canberra

[ 04 — START SOMETHING ]ONE CONVERSATION AT A TIME.

A question, a collaboration, a possibility.

THE NEXT GOOD IDEA
STARTS WITH HELLO.

LinkedIn Google Scholar Send a note