Md Abu Sufian - Lecturer

Teaching Appointments

3 positions

Lecturer (HPL): Computer Science

📅 Date: June 2025 to Present
🏛 Institution: University of East London, London, UK
🎓 Audience: Undergraduate and Postgraduate Student
🎤 Event: AI, ML and Bigdata in Cardio-Oncology Cardiovascular Health

Supervise the Undergraduate and Postgraduate Student

📅 Date: September 2025 to Present
🏛 Institution: University of East London, London, UK
🎓 Audience: Undergraduate and Postgraduate Student
🎤 Event: AI & Machine Learning in Cardio-Oncology, Cardiovascular Health

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MSc Bioinformatics Project Supervisor and Lecturer

📅 Date: January 2026 to Present
🏛 Institution: Birkbeck, University of London, UK
🎓 Audience: MSc Bioinformatics, Cardio-Oncology project students
🎤 Focus: Supervising diverse MSc Bioinformatics research projects, from computational to non-coding analysis.

Supporting GUI-based workflows using tools such as Loupe Browser, ImageJ, Cytoscape, STRING, and DAVID.

Guiding students who work with programming pipelines in Python or R for multi-omics or AI-based analysis.

Helping with workflow design, dataset selection, feature extraction, and statistical interpretation.

Providing structured support for writing, visualisation, and preparation of dissertation-ready results.

Outcomes: Completed dissertations, conference abstracts/posters, journal publications, and reproducible code repositories.

Featured Guest Lecture

Guest Lecture: Advanced Application of Python in Healthcare

Event Details

📅 Date: February 5, 2025

🏛 Institution: St. Joseph's College of Engineering and Technology, Thanjavur, India

🎓 Audience: Assistant Professors, PhD Scholars, and Professors

🎤 Event: AICTE-ATAL Sponsored Faculty Development Program (FDP)

📚 Theme: Recent Trends in Artificial Intelligence and Quantum Computing

Overview

I was invited as a Resource Person for a session on "Advanced Application of Python in Healthcare" at St. Joseph's College of Engineering and Technology, Thanjavur. The lecture was part of the AICTE-ATAL Faculty Development Program (FDP), focused on emerging trends in AI and Quantum Computing.

Session Highlights

Discussed the role of Python in AI-driven healthcare solutions, including medical imaging, predictive analytics, and clinical decision support.
Explored real-world applications of AI in cardiology, disease prediction, and medical diagnostics.
Covered advanced Python frameworks such as TensorFlow, PyTorch, SciKit-Learn, and OpenCV for healthcare research.
Presented case studies on machine learning models for cardiovascular risk prediction and survival analysis.
Engaged in an interactive Q&A session with faculty members and researchers on AI ethics, model interpretability, and future healthcare innovations.

Teaching Experience & Engagement

Delivered an interactive and research-driven session to an advanced audience consisting of Assistant Professors, PhD Scholars, and Senior Professors specializing in Computer Science, AI, and Healthcare Informatics.
Shared insights from my research in AI-driven cardiovascular imaging and discussed cutting-edge methodologies in explainable AI.
Fostered academic discussions on the integration of AI models in real-world clinical settings.

This session further solidified my teaching experience in AI for healthcare and my ability to effectively communicate complex AI concepts to a diverse academic audience.