Computational Biology, AI in healthcare.
Md Abu Sufian · Research Portfolio
Research
Professional Experience
PhD Researcher
University of East London
Research Excellence Scholarship (awarded for outstanding research performance)
Research Area
AI-driven analysis of cardiomyocyte ageing and its progression to heart failure.
Data
Functional and nuclear data from human iPSC-derived cardiomyocytes, used to track ageing phenotypes over time.
Biological Pathway of Focus (simplified model)
DNA→
RNA→
Protein dysfunction→
Calcium handling dysregulation→
Mitochondrial dysfunction→
Cardiomyocyte dysfunction and ageing→
Cardiomyopathy→
Myocardial dysfunction→
Heart failure
Why This Pathway Matters
- Altered protein function can drive calcium mishandling, since ion channels and pumps are proteins.
- Calcium dysregulation forms a key bridge between molecular alterations and energetic failure.
- Mitochondrial dysfunction contributes to ATP depletion, oxidative stress (ROS) and ageing phenotypes; calcium and mitochondrial defects reinforce each other.
- These mechanisms converge into cardiomyopathy, myocardial dysfunction, and ultimately heart failure.
Location
Docklands Campus, University of East London, London, UK (E16 2RD)
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- Shaanxi International Innovation Center for Transportation-Energy-Information Fusion and Sustainability Location: Chang'an University, Xi'an, Shaanxi, China.
- IVR Low-Carbon Research Institute Location: Chang'an University, Xi'an, Shaanxi, China. Research Associate (part-time/hybrid), Jan 2023 – Jul 2026
Project Administration and Supervision
- Supervisor, Chang'an University: Professor Mingbo Niu
- References available on request
Research Overview
This section gives an overview of university research projects I have worked on.
Research Project Details
- Data: primary qualitative lab-based data from collaborators, combined with secondary (pre-collected) quantitative datasets.
- "Trailblazing Multi-Phase Machine Learning Framework for Clinical Validation in Triple-Negative Breast Cancer Diagnosis: Integrating Advanced Imaging and Prognostic Analysis Techniques" Sufian, M.A., Niu, M. and Miah, M.S. · BMC Cancer (accepted, 2024) · see Publications
ElectroMap Project – University of Birmingham
Collaborator on the ElectroMap project led by Professor Christopher O'Shea, University of Birmingham.
Hybrid (project completed)
Project lead: Professor Christopher O'Shea
Research Project Details
- Data: quantitative optical-mapping recordings from cardiac tissue experiments (fluorescence images of voltage and calcium transients).
- ElectroMap is software for processing and analysing cardiac optical-mapping data. I rebuilt the Python version (ElectroMap-py) from the ground up as a modular package, with a 55-test validation suite.
ElectroMap-py analysis of optical-mapping recordings. Project led by Professor Christopher O'Shea, University of Birmingham.
Collaborators
- Boumediene Hamzi - Caltech; Imperial College London
- Sadia Zaman - Queen Mary University of London, UK
- Lujain Alsadder - Queen Mary University of London, UK
- Shared research areas: epidemiology, cardiovascular imaging
Earlier Data Science Projects (2020–2022)
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01
R-Driven Analysis of UK Road Traffic Accident Severity
Joint research work supervised by Prof. Paul King (Data Science Project), 2020-2021
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02
Exploring Data Analytics to Boost Financial Health in the E-sports Industry: Machine Learning Model based for Merchandise Sales Prediction.
Supervised by Prof. Jeremy Levesley (Data Analytics for E-sports Project), 2021-2022
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03
Mathematical Modeling of COVID-19 Evolution: Integrating Variational Dynamics, Stochastic Processes, and Adaptive Public Health Strategies.
Supervised by Prof. Evgeny Mirkes and Prof. Alexander N. Gorban (Mathematical Modelling Project), 2020-2021
Research Collaboration Network
Central Researcher
Research Institutions
Research Projects
Current Focus
Interactive Network Visualization - Drag nodes, scroll to zoom, hover for details
Institutional Affiliations
