Md Abu Sufian · Conference record
International Conference Participation
All entries peer-reviewed and accepted
presentations
author
cardiovascular thread
Venues include
Cardiovascular AI & cardiomyocyte ageing
12 · doctoral threadThe core research programme: motion phenotyping, cardiomyocyte ageing, cardiac imaging and valve repair.
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2025
★Temporal biomarker discovery for cardiomyocyte ageing and dysfunction via transformer-based motion phenotyping
EACVI 2025, European Society of Cardiology
Vienna, Austria · In person · First Author · Paper ID 90106
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2025
★Decoding Cardiomyocyte Ageing Through AI: Tracking Functional Decline via Temporal Motion Signatures
Doctoral Symposium, KDD2025
PhD Consortium: Call for Submission, Toronto, Canada · Oral-In person · First Author · Paper ID 03,
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2025
★Design of an AI-Driven Cardiovascular Valve Repair Nanobot
CHIL Doctoral Symposium, CHIL2025
University of California, California, Berkeley, USA · Oral-In person · First Author · Paper ID N/A
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2025
★Advanced Transformer-Based AI Framework for Early Detection and Prediction of Cardiomyocyte Aging and Injury Using Motion Phenotyping
British Society Cardiovascular Research Annual Conference, BSCR2025
Manchester, Birmingham, UK · Oral-In person · First Author · Paper ID BS-45
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2025
★Autonomous Ai-Integrated Nanobot For Targeted Cardiac Valve Repair And Biocompatible Scaffolding
British Heart Foundation, BSCR2025
British Cardiovascular Society Annual Conference, Manchester Central, Manchester, UK · Oral-In person · First Author · Paper ID 1-039
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2025
★Learning Spatiotemporal Nuclear Representations for Ageing Prediction
2026 OXML Poster Challenge, University of Oxford
Oxford, UK · In person · First Author
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2025
CardioFlowFormer: Detecting Ageing-Related Cardiomyocyte Dysfunction Leading to Heart Failure
Pre ICML2025
UCL, London, UK · Poster, In person · First Author
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2025
Modelling Cardiomyocyte Ageing Through Motion Entropy: A Physics-Guided Mathematical Framework
2025 BSCR Autumn meeting: Frontiers in Cardiovascular Research
QMUL, London · In person · First Author
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2024
★CardioMap Pro 2.0: Advancing Cardiac Research with Next-Gen Analytical Software for Comprehensive Electrophysiological Mapping
The 4th International Conference on Electrical, Computer and Energy Technologies (ICECET), IEEE International Conference
Sydney, Australia · Oral-In person · First Author · Paper ID 430
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2024
Enhancing Hypertrophic Cardiomyopathy Diagnosis with a Deep Learning-Driven 3D Echocardiogram Analysis
7th International Conference on Advanced Research in Social Sciences (ICARSS)
University of Cambridge, UK · Oral-In person · First Author · Paper ID 33-iss7-5904-ICARSS
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2023
Investigation on Deep Learning Methods for Heart Image Analysis: Progress, Implications, and Prospects for the Future
11th International Conference on Informatics, Electronics & Vision (ICIEV)
University of East London, UK · Oral-In person · First Author · Paper ID 58
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2023
Driving Innovation in MedTech: The Role of Entrepreneurial Ecosystems in the Development of an AI-powered 3D Cardiac Imaging App
ECOSYS2023
Paris, France · Oral-In person · First Author · Paper ID ecosys2023:493196
Medical imaging & health AI
5 presentationsApplied machine learning across neurology, oncology and pulmonary diagnostics.
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2025
★CrossAttention Vision Transformer Framework for MultiModal Pattern Detection,
NeurIPS'25
San Diego, USA. · In person · First Author · Paper ID 63
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2024
Advancing Alzheimer’s Disease Detection: Handwriting and MRI Image Data-Driven Analysis with AI and Deep Learning Technique
19th International Conference on Interdisciplinary Social Science Studies
University of Oxford, UK · Oral-In person · First Author · Paper ID 15662
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2024
Breaking New Ground in Medical Diagnostics with AI Chest X-ray Technology
Muslim Researchers' Network Annual Conference 2024
University of Cambridge, UK · Oral-In person · First Author · Paper ID N/A
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2023
NeuroApp: AI-Driven 4D Brain Image Processing on Standalone Platforms
ML in Healthcare
Berlin, Germany · Oral-In person · Second Author · Paper ID N/A
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2023
Breast cancer detection using machine learning Algorithms (Poster Presentation)
Lets Talk Digital 2022
University of Gloucestershire, UK · Oral-In person · Second Author · Paper ID N/A
Applied data science — other domains
6 presentationsEarlier work spanning finance, energy and sustainability, land use, and consumer analytics.
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2024
Optimizing E-sports Revenue: A Novel Approach to Predicting Merchandise Sales through Data Analytics and Machine Learning
12th Computing Conference
London, UK · Oral-In person · First Author · Paper ID 349
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2023
Interpreting, Querying, and Securing Complex Financial Documents: A Blockchain-Enabled, OCR & Language Model Approach with Enhanced Cybersecurity Features.
The BAR’s Annual Conference
Harvard University, Boston, USA · Oral-In person · First Author · Paper ID N/A
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2023
Machine Learning and Sustainability Metrics: Optimising Risk Assessment and Default Prediction
FTC
California, USA · Oral-In person · First Author · Paper ID 214
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2023
Bridging Social Media and Cryptocurrency: A Deep Learning-based Twitter Sentiment Analysis for Bitcoin Market
9th International Congress on Information and Communication Technology
America Square Conference Centre, London, UK · Oral-In person · First Author · Paper ID 481
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2023
Machine Learning for Efficient Data Management and Sustainability in UK's Energy Landscape: An ESG Perspective based on Geographic Information Systems
International STEAM Conference 2023
SteamHouse, Birmingham, UK · Oral-In person · First Author · Paper ID N/A
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2023
AI Multi-Landscape Identifier App: A Data-Driven Approach for Understanding and Promoting Multifunctional Landscapes
Landscapes Decisions
The Royal Society, London, UK · Oral-In person · First Author · Paper ID 130
★ marks presentations at selective or internationally recognised venues.
Contribution In Others Paper as Co-Author
2 presentations-
25-27 April 2024
Multi-Model ML Analysis and Performance Evaluation of Credit Card Fraud
2024 the 9th International Conference on Cloud Computing and Big Data Analytics
Chengdu, China · Oral-In person · Co-Author · Paper ID n/a
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2023
Unleashing Modified Deep Learning Models in Efficient COVID-19 Detection
Int. Conf. on Trends in Electronics and Health Informatics
Jahangirnagar University, Bangladesh · Oral-In person · Co-Author · Paper ID 20181