Computational Biology, AI in healthcare.
Md Abu Sufian · Research Portfolio
Research
Professional Experience
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.
Biological Pathway of Focus
DNA→
RNA→
Protein dysfunction→
Calcium handling dysregulation→
Mitochondrial dysfunction→
Cardiomyocyte dysfunction and ageing→
Cardiomyopathy→
Myocardial dysfunction→
Heart failure
Why This Pathway Matters
- Protein dysfunction precedes calcium mishandling, as ion channels and pumps are protein-driven.
- Calcium dysregulation forms a key bridge between molecular alterations and energetic failure.
- Mitochondrial dysfunction leads to ATP depletion, oxidative stress (ROS), and ageing phenotypes.
- 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. Address: 710018
- IVR Low-Carbon Research Institute Location: Chang'an University, Xi'an, Shaanxi, China. Address: 710018
Project Administration and Supervision
- Professor Mingbo Niu
- Contact Emails: Ref. available on request
Research Overview
This section includes an overview of various university data analytics research projects I have worked on, listed in reverse chronological order.
Research Project Details
- Data Collection: Pre-collected Quantitative Approach and Collaborative Qualitative lab-based Data
- "Trailblazing Multi-Phase Machine Learning Framework for Clinical Validation in Triple-Negative Breast Cancer Diagnosis: Integrating Advanced Imaging and Prognostic Analysis Techniques"
Another Research Project Involvement
I am associated with a project of Professor Christopher O'Shea, University of Birmingham
Hybrid ( Project Ended)
Corresponding Author (Supervisor): Professor Christopher O'Shea
Ref. available on request
Research Project Details
- Data Collection: Pre-collected Quantitative Approach and Collaborative Qualitative lab-based Data. Map cardiac electrophysiology data from optical mapping experiments on heart tissue. Fluorescence images indicative of voltage or calcium transients in cardiac tissue.
- The ElectroMap software, designed to process and analyze electrophysiological data, is a valuable tool for cardiac research. The Python-based version (ElectroMap-py) enhances its accessibility and functionality.
Some Current/Main Collaborators
- Boumediene Hamzi - California Institute of Technology, Caltech; Imperial College London
- Sadia Zaman - Queen Mary University, London, UK
- Lujain Alsadder - Queen Mary University, London, UK
- Epidemiology, Cardiovascular Imaging
Some DABI Data Science and Data Analytics Projects
Project
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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
Abstract:
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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
Abstract:
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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
Abstract:
Research Collaboration Network
Central Researcher
Research Institutions
Research Projects
Current Focus
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Institutional Affiliations
