Portrait of Farhana Sarker, PhD

Farhana Sarker, PhD

  • Director, WiSE Wing

Associate Professor, Department of Computer Science and Engineering, Independent University, Bangladesh

Publications (6)

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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