Hey there! I'm Iman 👋

Most people collect data.
I make it do something.

Data Scientist & ML Engineer with 4+ years across the full ML lifecycle — from wrangling messy real-world sensor data to deploying deep learning models that solve real problems. Computer Vision · Deep Learning · Wearable Sensing.

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4+Years in ML & Data Science

6Peer-Reviewed Publications

9+University Courses Taught

4Active Research Projects

About Me

I build ML systems that are reproducible, interpretable, and actually used — not just technically impressive.

My work sits at the intersection of Machine Learning, Computer Vision, NLP and applied data science. I've also taken that expertise into the classroom as a university lecturer — because explaining complex models forces clarity of thought.

Hi! I'm Iman Hosseini — Data Scientist & ML Engineer from Sydney, Australia

Currently a Data Scientist at the University of Canberra working on wearable-sensor ML for healthy ageing, with 6+ years of teaching at the Australian National University. Open to Data Scientist, ML Engineer, AI Engineer and Data Analyst roles.

LinkedIn GitHub Google Scholar Email 📄 Publications

Experts In Field

My Job & Education

2022 — Present

Data Scientist

University of Canberra · Biosensing & Intelligent Systems

2019 — 2025

Sessional Academic

The Australian National University & University of Canberra

Postgraduate Research

Master of Philosophy (MPhil)

The Australian National University

2018 — 2020

Master of Engineering — Digital Systems & Telecommunications

The Australian National University

2012 — 2016

Bachelor of Engineering — Electrical & Electronics

Shahid Chamran University of Ahvaz

Full experience → · Full education →

What I Do

From messy data to production-ready models

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Machine Learning & Computer Vision

Deep learning models for image classification, object detection and multimodal recognition — built with PyTorch, TensorFlow and OpenCV, and taken through training, evaluation and deployment.

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Data Pipelines & Analytics

End-to-end pipelines and analytics workflows that cut manual processing time — from ingestion and cleaning of raw sensor streams to statistical modelling and visualisation.

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Teaching & Communication

Six years lecturing and tutoring ML, data science and signal processing at ANU and the University of Canberra. I make complex models understandable — to students and stakeholders alike.

My Projects

Research & engineering highlights

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Let's Collaborate

Open to collaborations in these areas

I'm always keen to team up with researchers, founders and engineers. If any of these overlap with what you're working on, reach out.

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ML for Health & Ageing

Wearable sensing, mobility assessment, fall-risk prediction and clinical ML applications.

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Computer Vision Research

Object detection, human motion analysis, and multimodal models combining vision with other signals.

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Applied ML Products

Taking models from notebook to production — consulting, prototyping, or joining ambitious teams.

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Signal Processing & IMU Data

Time-series feature engineering, sensor fusion and DSP for real-world devices.

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Co-authoring & Research

Joint publications, grant projects and open-source tooling in ML for human movement.

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Guest Lectures & Workshops

ML, data science and signal processing teaching — universities, bootcamps and industry teams.

Recruiters & founders — let's talk.

I'm open to Data Scientist, ML Engineer, AI Engineer and Data Analyst roles, particularly where models go to production and the problem space is genuinely hard.

Get In Touch