Md Abu Sufian

London, United Kingdom

2017901635@chd.edu.cn

Research Interests and Technical Skills

I am deeply passionate about the intersection of machine learning technology and its practical implementations in healthcare. My primary research interests lie in the application of machine learning to epidemiology, where I focus on predicting, preventing, and managing diseases. Additionally, I am dedicated to advancing cardiovascular medical imaging through AI, enhancing accuracy and efficiency in early diagnosis and treatment planning. My technical skills complement my research interests, as I am proficient in programming languages and tools such as Python, R (R Studio), SPSS, SQL, and LaTeX. I have extensive experience in data visualization using Power BI and Tableau, and I am adept at utilizing cloud platforms like AWS and Azure for scalable computing solutions. My knowledge extends to big data technologies, including Apache Spark, and I am skilled in using machine learning frameworks such as Pytorch and Tensorflow for building and deploying AI models. Furthermore, I possess advanced skills in Microsoft Excel, particularly in Macros and VBA for automation and complex data analysis.

Education

2020 Sep – 2023 Jan MSc. in data analysis for business intelligence with industry, University of Leicester, Leicester, United Kingdom.

Relevant modules: Mathematical Modelling, Data Mining and Neural Networks, Financial Services Information Systems, and Data analytics for Esports.

2019 Jan – 2020 July Masters in International MBA, Birmingham City University, Birmingham, United Kingdom.

Relevant modules: Global Marketing Management, Managing Financial Performance, International Operations and Project Management.

Collaborative Research Experience

January 2023 - Present Researcher, Part-Time, Hybrid, IVR Low Carbon Research Institute, Chang’an University, Xi’an, Shaanxi,710018, China

Conducting research in machine learning, deep learning, and AI applications in health.

December 2023 - Present Researcher, Part-Time, Hybrid, University of Birmingham, Birmingham, UK

Utilizing ElectroMap for quantitative cardiac electrophysiology data analysis, advancing cardiac research through optical mapping of heart tissue.

Relevant Work Experience

February 2023 to June 2024 Data Analyst, Midland Heart Ltd, United Kingdom

June 2022 – October 2022 MSc Data analysis for business intelligence project, HSBC-Financial Services Company, London, United Kingdom.

M.Sc. HSBC Bank Project: Machine Learning and Sustainability Metrics: Optimising Risk Assessment and Default Prediction

August 2021 – June 2022 M.Sc. Internship, ASAP Data solution ltd., Hatfield, United Kingdom

January 2021 – May 2021 Data analytics for esports project, Leicester, United Kingdom

M.Sc. Project Title: Optimizing E-Sports Revenue: A Novel Data Driven Approach to Predicting Merchandise Sales Through Data Analytics and Machine Learning

February 2021 – April 2021 Fundamental data science module project, Leicester, United Kingdom

M.Sc. Project Title:Enhancing Prediction and Analysis of UK Road Traffic Accident Severity Using AI: Integration of Machine Learning, Econometric Techniques, and Time Series Forecasting in Public Health Research.

Awards and Achievements

June 2022 to June 2022, University of Leicester Micro Internship

Conference Scholarship for AI+ Health 2023 Conference, Stanford University, USA

Stanford University
Center for Continuing Medical Education, Stanford University School of Medicine
Contact: (650) 497-8554
Ref.: stanfordcme@stanford.edu

Conference Scholarship for The Royal Society, London, UK

Organiser: University of Leicester, UKRI Funded (UK Research and Innovation)
Landscape Decisions Programme 2023 Conference
Multifunctional Landscapes: From Research to Policy
Ref.: sb999@leicester.ac.uk

Bootcamp Scholarship, West Midland Combined Authority (WMCA), Birmingham, UK, Feb 2023 to May 2023

Host: Birmingham City University, Birmingham, UK
Digital Skills for Smart Manufacturing
CPD Bootcamp
Core Module: Machine Learning and Artificial Intelligence Applications.
Ref.: Andrew.Neilson@bcu.ac.uk

Short Course Enrollment, Harvard T.H. Chan School of Public Health

Host: Harvard University, Boston, USA
style="color: #007A33;">Harvard University
AI for Health Care: Concepts and Applications (On Campus) - Fellowship Award–Start: 2/6/2024
Verification Code: 240T0I6RMEN1, Please verify yourself

Verify It

Innovation with AI in Health Care (On Campus) – Start: 5/7/2024
Core Module: AI for Health Care: Concepts and Applications - Course Information
Core Module: Innovation with AI in Health Care - Course Information
Ref.: kescott@hsph.harvard.edu

International Summer Program Enrollment, 21 - 27 July 2024

Host: University of Cambridge, Cambridge, UK
AI and digital transformation in health care (On Campus)
W35Am29: An introduction to Critical Thinking and W35Pm30: AI and digital transformation in health care
Sponsor Licence Number: 4NUV7KB58
Student Number: 24-IH-00235016
Core Module: AI and digital transformation in health care - Course Information
Ref.: Sarah.Ormrod@ice.cam.ac.uk

Summer School Program Acceptance, 3 May - 14 July 2024

Host: University of Oxford, Oxford, UK
Machine learning health and Bio (On Campus)
MLx Representation Learning & Generative AI (On Campus)
MLx Fundamentals (access)
Core Module: Machine learning health and Bio - Course Information
Ref.: contact@oxfordml.school

Professional Membership

Royal Statistical Society, Ref. 224591 (Fellow)
IEEE (Institute of Electrical and Electronics Engineers), Ref. 98514633
BCS (British Computer Society), Ref. 995126302
LMS (London Mathematical Society), Ref. (membership@lms.ac.uk)

Peer Review Activities

Reviewed manuscripts for Soft Computing Journal, Springer 2023
Ref.: Ms. No. SOCO-D-23-05517
Title: "Transforming Psychotic Disorder Diagnosis with Deep Learning Model on Timeseries Motor Activity Signals Soft Computing"
For Reference: em@editorialmanager.com, Mauro Gaggero, Associate Editor, Soft Computing

References

Available on request