Portrait of Farhana Sarker, PhD

Farhana Sarker, PhD

  • Director, WiSE Wing

Affiliations

  • Associate Professor

    Department of Computer Science and Engineering

    Independent University, Bangladesh (IUB)

Publications (9)

Farhana Sarker, Rony Chowdhury Ripan, Moinul H Chowdhury, AKM Nazmul Islam, Mashiar Rahman, Shariful Islam, Shumit Saha, Khondaker A Mamun

Stroke Prevalence and Risk Factors in Rural Communities Within a Resource-Constrained South Asian Setting: Population-Based Study of 1.3 Million Individuals

JMIR Public Health and Surveillance 11, pp. e46122-e46122, 2025

Journal ArticleDOIURL
  • stroke prevalence
  • stroke risk factors
  • rural communities
  • Bangladesh
  • community health workers
  • hypertension
  • Diabetes mellitus
  • sex differences
  • age differences
  • stroke prevention
  • resource-limited settings

Sharbany Panday, Sourish Bairagi, Sinthia Sayma Rahman, Mir Sazzat Hossain, Md Rashedur Rahman, Ashraful Islam, Farhana Sarker

Machine Learning-Based Prediction of ADHD in Bangladeshi Children Using Behavioral and Demographic Insights

2025 28th International Conference on Computer and Information Technology (ICCIT), pp. 3518-3523, 2025

Conference PaperDOIURL
  • attention deficit hyperactivity disorder
  • Bangladeshi children
  • socioeconomic factors
  • DSM-5
  • parent and teacher ratings
  • Feature selection
  • ensemble classifiers
  • early diagnosis
  • SDG 3Good Health and Well-being

Md Jobayer Rahman, Shamim Ahamed, Fahim Faisal Deepto, Marzia Zaman, Ashraful Islam, Farhana Sarker, Khondaker A Mamun

A Benchmark and Optimization Framework for ML and LLM-Based Health Triage

2025 IEEE International Conference on Data Mining Workshops (ICDMW), pp. 568-575, 2025

Conference PaperDOIURL
  • Ensemble learning
  • large language models
  • low- and middle-income countries
  • self-medication
  • personalized health recommendations
  • health equity
  • hybrid AI models
  • clinical decision support
  • narrative interpretation
  • benchmark dataset
  • SDG 3Good Health and Well-being
  • SDG 10Reduced Inequalities

CHIRANJEEB BISWAS, HELAL UDDIN AHMED, MD ASHRAFUL AMIN, FARHANA SARKER, RAVI VAIDYANATHAN, KHONDAKER A MAMUN

Exploration of EEG-Based Depression Biomarkers Identification Techniques and Their Applications: A Systematic Review

IEEE Access 10, pp. 16756-16781, 2022

Journal ArticleDOIURL
  • EEG biomarkers
  • independent component analysis
  • depression
  • convolutional neural networks
  • Support vector machine
  • depression detection
  • brain functional connectivity
  • EEG artifact removal
  • negative stimuli
  • SDG 3Good Health and Well-being

Antora Dev, Nipa Roy, Md Kafiul Islam, Chiranjeeb Biswas, Helal Uddin Ahmed, Md Ashraful Amin, Farhana Sarker, Ravi Vaidyanathan, Khondaker A Mamun

Exploration of EEG-based depression biomarkers identification techniques and their applications: a systematic review

IEEE Access 10, pp. 16756–16781, 2022

Journal ArticleDOIURL
  • EEG biomarkers
  • independent component analysis
  • depression
  • convolutional neural networks
  • Support vector machine
  • depression detection
  • brain functional connectivity
  • EEG artifact removal
  • negative stimuli
  • SDG 3Good Health and Well-being
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