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Research record / Md Mahfuzul Islam

Research, publications, and engineering analysis

A reading-led record of published work, applied research themes, and the engineering questions behind the systems.

Three glass evidence lenses carrying clinical, signal, and control response curves
Clinical evidence signal analysis control systems

Published record

Publication record

Publication ledger01 record
012023

Published research

Survival Analysis of Breast Cancer Patients: A Population-Based Study from SEER

R S Rahman, Al Keats, M A Kabir, A Newaz, M M Islam

2023 International Conference on Electrical, Computer and Energy Technologies (ICECET)

4 citations
View publication

Research directions

Three connected questions.

01

Clinical evidence

Survival modelling and reliable healthcare data.

02

Signals & control

Biomedical signals, simulation, and response.

03

Applied AI

Retrieval tools and dependable delivery workflows.

Explore the complete research scope 13 themes

Technical interests

  1. Applied AI systems for engineering and decision-support workflows
  2. Healthcare analytics built on high-integrity clinical datasets
  3. Secure content and workflow architecture for production platforms
  4. Control-system and energy-model analysis through simulation
  5. Healthcare data integration and reliable analytical infrastructure
  6. Survival modeling and interpretable clinical ML
  7. Signal and system-level analysis for biomedical and engineering use-cases
  8. Controller design and performance optimization in electrical drives
  9. Retrieval-augmented AI tools for technical learning and decision support

Ongoing explorations

  1. Bilingual retrieval assistant design for EE learning with cited responses
  2. Controller tuning comparisons across series PI, IMC, and manual strategies
  3. Schema-validated content pipelines for admin-managed platforms
  4. Research-to-production implementation with security and operations controls
Md Mahfuzul Islam presenting research at United International University
Presenting research at United International University

Research in practice

Research that informs implementation.

Simulation, data quality, and applied AI questions are carried into practical system decisions.

Academic record

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