Your Name | Your Affiliation

About Me

I am a machine learning researcher at HSBC. I completed my PhD at the Newcastle University and KU Leuven supervised by Prof. Sara Walker (University of Birmingham), Dr. Stephen McGough (Newcastle University) and Dr. Hussain Kazmi (KU Leuven University). I was also a postgraduate research assistant at the Alan Turing Institute. My research focuses on applying machine learning techniques to energy analytics. Beyond that, I am interested in developing responsible and ethical AI products that achieve product-market fit. I hold a Masters in Big Data from University of Stirling and a Bachelors degree in Information and Communication Technology.

Research Interests

Data science: machine learning, deep learning,transfer learning, classification, regression
Forecasting: time-series forecasting, time-series analysis

Publications

Machine Learning, Deep Learning and Statistical Analysis for forecasting building energy consumption — A systematic review

Mohamad Khalil*, A. Stephen McGough, Zoya Pourmirza, Mehdi Pazhoohesh, Sara Walker

Engineering Applications of Artificial Intelligence Elsevier, 2022.

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Transfer Learning Approach for Occupancy Prediction in Smart Buildings

Mohamad Khalil*, A. Stephen McGough, Zoya Pourmirza, Mehdi Pazhoohesh, Sara Walker

2021 12th International Renewable Engineering Conference(IREC), 2021.

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Interpretable domain-informed and domain-agnostic features for supervised and unsupervised learning on building energy demand data

Ada Canaydin*, Chun Fu, Hussain Kazmi, Clayton Miller, Mohamad Khalil, Attila Balint

Applied EnergyElsevier, 2024.

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A Multi-task Learning Approach to Short-Term Load-Forecasting for Multiple Energy Loads in an Educational Building

Mohamad Khalil*, A. Stephen McGough, Zoya Pourmirza, Mehdi Pazhoohesh, Sara Walker

2022 IEEE International Conference on Advances in Electrical Engineering and Computer Applications(AEECA), 2022.

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The Forecastability of Underlying Building Electricity Demand from Time Series Data

Mohamad Khalil*, A. Stephen McGough, Hussain Kazmi, Sara Walker

2023 IEEE International Conference on Big Data (BigData)(IEEE), 2023.

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A Global Data-driven Forecasting Approach for Buildings Energy Demand Prediction

Mohamad Khalil*, A. Stephen McGough, Hussain Kazmi, Sara Walker

2023 IEEE 6th International Conference on Big Data and Artificial Intelligence(BDAI), 2023.

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An Overview of Regulations and Ethics of Artificial Intelligence in the Financial Services: Recent Developments, Current Challenges and Future Perspectives

Mohamad Khalil*

International Cardiff Fintech Conference, 2023.

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Emerging Risks and Opportunities of Generative AI for Banks A Singapore Perspective

MindForge*

MindForge Consortium Members, 2024.

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