Md Abu Sufian
Md Abu Sufian

Md Abu Sufian

London, United Kingdom

2017901635@chd.edu.cn

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Research Interests and Technical Skills

My research focuses on addressing the statistical challenges associated with highly structured data from diverse applications, including imaging and wearable technologies. These data are often discrete samples of complex underlying functional processes, which present dependencies that are difficult to model using traditional statistical approaches. My work aims to develop computationally efficient methods that preserve information across all dimensions of these data while ensuring the results are interpretable and actionable. Additionally, I apply advanced statistical and machine learning techniques, such as mixed effects models, gradient boosting, and tree-based methods, to support research in epidemiology, neurology, and oncology.

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.

Professional Development

  • AI in Healthcare: Applications and Concepts,Harvard T.H. Chan School of Public Health, Harvard University, Fellowship(On campus).
  • AI and Digital Transformation in Health Care, Critical Thinking, University of Cambridge (On campus - summer program).
  • ML (Including Deep Learning, Representation Learning, and Generative AI) in Health and Bio, Application of ML in Medicine and Biomedical Sciences, Oxford Mathematical Institute, University of Oxford (On campus - summer program).

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.: Available of request
    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.: Available of request
    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.: Available of request

    Professional Membership

    • Royal Statistical Society, Ref. 224591 (Fellow)
    • IEEE (Institute of Electrical and Electronics Engineers), Young Professional, 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
    • IEEE Journal of Biomedical and Health Informatics, 2024, Ref.: JBHI-02923-2024, Reviewed manuscripts.

    References

    Available on request