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PhD Research: Indoor Air Quality
Artificial Intelligence
Data Science
Grant Writing
IoT
Linux
Machine Learning
PhD Research
Presentation
Public Speaking
Qualitative Data
Quantitative Data
Requirements Gathering
Research
Stakeholder Management

As Data & ML Engineer at the Centre for Global Eco-Innovation (Jan 2021 – Jun 2023), I built LSTM forecasting and IoT pipelines that cut HVAC energy use by 17% across 12 UK schools while improving measured air quality by 22%.

Centre for Global Eco-Innovation

As Data & ML Engineer at the Centre for Global Eco-Innovation (January 2021 – June 2023), alongside my PhD at Lancaster University in partnership with NAQTS, I built production ML and IoT systems for public-sector sustainability clients.

Engineering outcomes

  • Built an LSTM/TensorFlow forecasting model that reduced HVAC energy consumption by 17% across 12 UK schools (modelled from sensor baselines), saving £34,000 per year and improving measured air quality outcomes by 22%.
  • Architected an IoT data pipeline on Docker/Linux ingesting 2M+ real-time sensor data points in Python (NumPy, scikit-learn, Pandas) and TensorFlow, feeding ML models and operational dashboards for council building-management teams.
  • Shipped Plotly/Dash dashboards and a LangChain RAG chatbot delivering real-time HVAC recommendations to 20+ teachers and council members across the same 12-school deployment.

Presenting at ACM SIG CHI 2023

Research

My PhD investigated the “Indoor Air Quality Trilemma” — balancing good air quality, low energy use, and stakeholder requirements in UK school classrooms. The work started during Covid-19, when indoor air quality rose in priority, then was complicated by the energy crisis and Net Zero commitments against older building stock, growing class sizes and constrained funding.

The research focused on 6 schools across the North-West of England, 12 classrooms and over 20 stakeholders. Alongside NAQTS I developed IAQ monitors and collected classroom data, which combined with stakeholder interviews turned raw measurements into actionable stories.

As part of the research, I presented early findings to the TAPAS network on tackling air pollution in schools with IoT. In April 2023 I presented the CHI EA paper to an international audience at CHI’s poster session.

Presenting at ACM SIG CHI 2023

Publications

  • Hussain, I., Friday, A., & Booker, D. (2023). The Indoor Air Quality Trilemma: Improving Air Quality, Using Less Energy, and Meeting Stakeholder Requirements. CHI EA ‘23 (ACM). Read the paper.
  • Hussain, I., Friday, A., & Booker, D. (2026). The COVID-19 legacy: Indoor air quality, thermal comfort and energy use in English classrooms. Energy Research & Social Science. Read the paper.

This research was co-authored with supervisor Adrian Friday (Lancaster University) and industry partner Douglas Booker (NAQTS), and funded by ECO-I NW, an EU initiative.