Publications

Work in my current research areas: HCI, XR, software engineering, and security.

• XRSEC
  Cybersecurity Threats and Vulnerabilities in Virtual Reality Games: A Systematic Literature Review

  A.H. Efat^†, M.F. Zibran, F.Z. Eishita

  In International Conference on Computer Science and Information Technology (ICCSIT 2026). ACM Digital Library, 2026, pp. 1–17
• SE
  Merge or Malice? Investigating Toxicity Around AI Pull Requests

  A.H. Efat^†, S.M.M. Hasan, M.F. Zibran, F.Z. Eishita

  In Evaluation and Assessment in Software Engineering (EASE) Conference. ACM Digital Library, 2026, pp. 1–5
• HCIXR
  Gamified Virtual Exposure Therapy for Germophobia: A Cross-Platform Based Graphical User Interface Usability Study

  A.H. Efat^†, F.Z. Eishita

  In Intermountain Engineering, Technology, and Computing Conference (i-ETC). IEEE, 2026, pp. 1–6

  DOI

• CV
  Enhancing Skin Lesion Classification Using a Tri-Path Attention Stacked Ensemble Architecture with Cohen’s Kappa Proportioned Averaging

  M.S. Hasan, A.H. Efat^‡, J.A. Bhuiyan, F.M. Mansia

  Digital Health, Sage, 2026

  Q1, Scopus, IF: 3.9DOI
• CV
  Dual Concatenated Transfer Learning with Attention Fusion: An Ensemble-Enhanced Approach for Skin Lesion Classification

  P. Bhowmick, J. Rahman, A.H. Efat, T.F. Nidhi, D.K. Amit

  Digital Health, Sage, 2026

  Q1, Scopus, IF: 3.9DOI
• CV
  Incremental Inverse Kullback–Leibler Divergence Weighting ensemble for Skin Lesion Classification with Stacked RegNet Fusion and Attention-Triad

  A.H. Efat^†, S.M.M. Hasan, M.F. Zibran, F.Z. Eishita

  Machine Learning with Applications, 2026

  Q1, Scopus, IF: 6.1DOI
• CV
  Hierarchical Attention Stacked Ensemble with Matthews-Correlation-Coefficient Weighted Averaging: A Novel Framework for Skin Lesion Classification

  J.A. Bhuiyan, A.H. Efat^‡, M.S. Hasan, F.M. Mansia

  Digital Health, Sage, 2026

  Q1, Scopus, IF: 3.9DOI
• CV
  Tri-Attention Boosted Scalable EfficientNet for Skin Lesion Classification via Triple-Stage Gain Ratioed Averaging

  A.H. Efat^†

  Franklin Open, 2026

  Q2, Scopus, IF: 3.7DOI
• CV
  Skin Lesion Classification Breakthrough: Leveraging Independent-Serial-Parallel-Stacking Ensemble Architecture with Reciprocal Cross-Entropy Averaging

  A.H. Efat^†, M.F. Zibran, F.Z. Eishita

  IEEE Access, 2026

  Q1, Scopus, IF: 3.6DOI
• CV
  χ² Weighted Ensemble: A Multi-Layer Ensemble Approach for Skin Lesion Classification using Optimized RegNet Synergy with Attention-Triplet

  A.H. Efat^†

  PLOS ONE, 2025

  Q1, Scopus, IF: 3.7DOI
• CV
  A Multi-level Ensemble Approach for Skin Lesion Classification using Customized Transfer Learning with Triple Attention

  A.H. Efat^†, S.M.M. Hasan, M.P. Uddin, M.A. Mamun

  PLOS ONE, 2024

  Q1, Scopus, IF: 3.7DOI
• CV
  Inverse Gini Indexed Averaging: A Multi-Levelled Ensemble Approach for Skin Lesion Classification Using Attention-Integrated Customized ResNet Variants

  A.H. Efat^†, S.M.M. Hasan, M.P. Uddin, F.H. Emon

  Digital Health, Sage, 2024

  Q1, Scopus, IF: 3.9DOI
• CV
  Refining Breast Cancer Classification: Customized Attention Integration Approaches with Dense and Residual Networks for Enhanced Detection

  M.S. Alam, A.H. Efat^‡, S.M.M. Hasan, M.P. Uddin

  Digital Health, Sage, 2024

  Q1, Scopus, IF: 3.9DOI

• CV
  Preventing Skin Cancer through Improved Skin Lesion Recognition: An Attention-Triplet and Multi-Layer Ensemble Based CNN Approach

  A.H. Efat^†, S.M.M. Hasan, N. Jannat, M. Mitu, M. Oishe, M.F. Taraque

  In Machine Learning for Healthcare Informatics. Taylor & Francis Group, 2025, pp. 95–112

  DOI
• CVML
  Enhancing Glaucoma Prediction Performance in OCT Images using Machine Learning Based on HOG Features

  M. Oishe, S.M.M. Hasan, A.Y. Srizon, A.H. Efat et al.

  In Visual Sensing and Ubiquitous Computing. Taylor & Francis Group, 2025, pp. 91–104

  DOI
• ML
  From Data to Diagnosis: A Journey with Machine Learning, Hyperparameter Tuning, and Ensemble Learning for Disease Prognostication

  A.H. Efat^†, S.F. Ferdous, S.I. Nayem, A.I. Surhyth

  In Trends in Electronics and Health Informatics. Springer, 2023, pp. 407–421

  DOI
• ML
  Unlocking Insights in Healthcare: A Comparative Study of Hyperparameter Tuned Machine Learning Algorithms

  S.F. Ferdous, A.H. Efat^‡

  In Trends in Electronics and Health Informatics. Springer, 2023, pp. 341–356

  DOI
• CV
  Tri Focus Net: A CNN-Based Model with Integrated Attention Modules for Pest & Insect Detection in Agriculture

  A.S.M.M. Fahim, A.H. Efat^‡, S.M.M. Hasan et al.

  In Trends in Electronics and Health Informatics. Springer, 2023, pp. 225–240

  DOI

Earlier conference work, mostly machine learning and explainable AI for medical diagnosis.

• MLXAI
  Why Do Admission Attempts Fail? An Analysis of Bangladeshi University Admission Applicants Using ML and XAI

  A.H. Efat^†, S.M.M. Hasan, M.F. Zibran, F.Z. Eishita

  In International Conference on Computing and Machine Intelligence (ICMI). IEEE, 2026, pp. 1–10

  DOI
• MLXAI
  Unraveling the Factors of Procrastination: An Insightful Assessment Through ML and XAI

  M. Sarker, A.H. Efat^‡, M.A. Khan, M.F. Zibran, J.A. Nabin

  In International Conference on Computing and Machine Intelligence (ICMI). IEEE, 2026, pp. 1–6

  DOI
• MLXAI
  From Prediction to Causation: An Interpretable Diagnosis of Procrastination Using XAI with ML

  M.A. Khan, A.H. Efat^‡, M. Sarker, J.A. Nabin

  In International Conference on Computer and Information Technology (ICCIT). IEEE, 2025, pp. 4933–4938

  DOI
• MLXAI
  X-Decision Tree: An Explainable AI Architecture for PCOS Prediction with Hyperparameter Tuning and Cross-Validation

  S.I. Nayem, A.H. Efat^‡, A.I. Surhyth

  In International Conference on Quantum Photonics, Artificial Intelligence, and Networking (QPAIN). IEEE, 2025, pp. 1–6

  DOI
• MLXAI
  Optimized and Explainable XGBoost for Cardiovascular Disease Prediction: A Novel X-XGBoost Architecture

  F. Mansia, A.H. Efat^‡, M.T. Rahman

  In International Conference on Inventive Systems and Control (ICISC). IEEE, 2025, pp. 1350–1357

  DOI
• CVXAI
  GreekNet: Handwritten Greek Alphabet Recognition Using Explainable Parallel CNN with Attention Mechanisms

  A.H. Efat^†, S.M.M. Hasan, M.F. Zibran

  In International Conference on Computing and Machine Intelligence (ICMI). IEEE, 2025, pp. 1–9

  DOI
• MLXAI
  Advanced Heart Disease Classification through Feature-Tuned Explainable Support Vector Machine with Hyperparameter Tuning and Cross-Validation

  A.H. Efat^†, A.S.M.S. Ahamed, M.N. Ahmed, D.M.A. Afsar

  In International Conference on Computing and Machine Intelligence (ICMI). IEEE, 2025, pp. 1–5

  DOI
• MLXAI
  Pinpointing Key Success Factors in Bangladesh’s Public University Entrance Exams: A Feature-Optimized SVM Architecture with XAI

  A.H. Efat^†

  In International Conference on Computer and Information Technology (ICCIT). IEEE, 2024, pp. 429–434

  DOI
• CV
  Dual Concatenated DenseNet with Attention Fusion for Skin Lesion Classification

  P. Bhowmick, A.H. Efat^‡, S.M.M. Hasan, S.Z. Mishu

  In International Conference on Computer and Information Technology (ICCIT). IEEE, 2024, pp. 1087–1092

  DOI
• MLXAI
  X-Random Forest: An Explainable AI Framework for Early-Stage Diabetes Prediction with Hyperparameter Tuning and Cross-validation

  F. Mansia, A.H. Efat^‡, M.S. Hoque, O. Mridul

  In International Conference on Computer and Information Technology (ICCIT). IEEE, 2024, pp. 1281–1286

  DOI
• CV
  Enhanced Skin Lesion Detection Using Concatenated DenseNet and Multi-Attention Mechanisms

  N. Amin, A.H. Efat^‡, A.F.M.M. Rahman, S.M.M. Hasan

  In International Conference on Innovations in Science, Engineering and Technology (ICISET). IEEE, 2024, pp. 1–6

  ★ Best Paper AwardDOI
• CVXAI
  Exploring Augmentation Strategies for Balanced Skin Lesion Classification: An Explainable Lightly Tuned DenseNet-169 Architecture

  M.M. Mia, A.H. Efat^‡, S.M.M. Hasan et al.

  In International Conference on Innovations in Science, Engineering and Technology (ICISET). IEEE, 2024, pp. 1–6

  DOI
• CVXAI
  Attention Enhanced Inception-V3: A Multi-Scale Feature Fusion Network for Skin Lesion Detection with Explainable AI

  M.A.K. Abir, A.H. Efat^‡, S.M.M. Hasan et al.

  In International Conference on Innovations in Science, Engineering and Technology (ICISET). IEEE, 2024, pp. 1–6

  DOI
• CV
  Triple Attention MobileNetV3: Harnessing Integrated Attention and Transfer Learning for Next-Generation Skin Lesion Detection

  T.F. Nidhi, A.H. Efat^‡, S.M.M. Hasan, M.S. Zaman, A.N. Wasit

  In IEEE Conference on Computing, Applications and Systems (COMPAS). IEEE, 2024, pp. 1–6

  DOI
• CVXAI
  An Explainable Deep Learning Framework for Multi-Class Skin Lesion Classification While Resolving Class Imbalance

  I. Jahan, A.H. Efat^‡, S.M.M. Hasan et al.

  In International Conference on Power, Electrical, Electronics and Industrial Applications (PEEIACON). IEEE, 2024, pp. 473–478

  DOI
• CV
  Multi-Scale Feature Fusion Framework Based on Attention Integrated Customized DenseNet201 for Multi-Class Skin Lesion Detection

  P. Roy, A.H. Efat^‡, S.M.M. Hasan et al.

  In International Conference on Power, Electrical, Electronics and Industrial Applications (PEEIACON). IEEE, 2024, pp. 496–501

  DOI
• CV
  Shallow Tuned DenseNet: A Lightweight CNN Approach for Enhanced Skin Lesion Recognition

  T.T. Ahmmed, M.F. Faruk, A.Y. Srizon, S.M.M. Hasan, A.H. Efat et al.

  In International Conference on Power, Electrical, Electronics and Industrial Applications (PEEIACON). IEEE, 2024, pp. 1–6

  DOI
• CV
  Improved Skin Lesion Detection with Double Layer Concatenated DenseNet Using Transfer Learning and Attention Modules

  M.M. Hasib, M.F. Faruk, S.M.M. Hasan, A.H. Efat et al.

  In International Conference on Power, Electrical, Electronics and Industrial Applications (PEEIACON). IEEE, 2024, pp. 1–6

  DOI
• ML
  Towards Superior EEG-Based Emotion Recognition: Integrating CNN Outputs with Machine Learning Classifiers for Enhanced Performance

  T. Das, S.M.M. Hasan, A.H. Efat et al.

  In International Conference on Electrical Engineering and Information & Communication Technology (ICEEICT). IEEE, 2024, pp. 699–704

  DOI
• CV
  Efficient Detection of Crop Leaf Diseases: A Lightweight CNN Approach for Enhanced Agricultural Productivity

  N. Jannat, S.M.M. Hasan, A.H. Efat et al.

  In International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD). IEEE, 2023, pp. 99–103

  DOI
• ML
  Improved Diabetes Prediction with Reduced Feature Sets: Evaluating Feature Selection Techniques in Machine Learning

  S. Datta, S.M.M. Hasan, A.H. Efat et al.

  In International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD). IEEE, 2023, pp. 104–108

  DOI
• CV
  Revolutionizing Pest Detection for Sustainable Agriculture: A Transfer Learning Fusion Network with Attention-Triplet and Multi-Layer Ensemble

  N. Haque, A.H. Efat^‡, S.M.M. Hasan et al.

  In International Conference on Computer and Information Technology (ICCIT). IEEE, 2023, pp. 1–6

  DOI
• CV
  A Triple-Level Ensemble-based Brain Tumor Classification Using Dense-ResNet in Association with Three Attention Mechanisms

  S. Sikder, A.H. Efat^‡, S.M.M. Hasan et al.

  In International Conference on Computer and Information Technology (ICCIT). IEEE, 2023, pp. 1–6

  DOI
• CV
  Skin Lesion Classification through Sequential Triple Attention DenseNet: Diverse Utilization of Attention Modules

  S. Shafin, A.H. Efat^‡, S.M.M. Hasan et al.

  In International Conference on Computer and Information Technology (ICCIT). IEEE, 2023, pp. 1–6

  DOI
• CV
  Attention Trinity Net and DenseNet Fusion: Revolutionizing American Sign Language Recognition for Inclusive Communication

  T.S. Joy, A.H. Efat^‡, S.M.M. Hasan et al.

  In International Conference on Computer and Information Technology (ICCIT). IEEE, 2023, pp. 1–6

  DOI
• ML
  Evaluating the Efficacy of Feature Selection Methods in Cardiovascular Disease Prediction with Machine Learning

  R. Haque, S.M.M. Hasan, A.H. Efat et al.

  In International Conference on Electrical Information and Communication Technology (EICT). IEEE, 2023, pp. 1–6

  DOI
• MLXAI
  An Explainable Machine Learning Framework for Multiple Medical Datasets Classification

  M. Mitu, S.M.M. Hasan, A.H. Efat et al.

  In International Conference on Next-Generation Computing, IoT and Machine Learning (NCIM). IEEE, 2023, pp. 1–6

  DOI
• ML
  Stacking Ensemble Technique for Multiple Medical Datasets Classification: A Generalized Prediction Model

  N. Jannat, S.M.M. Hasan, A.H. Efat et al.

  In International Conference on Electrical, Computer and Communication Engineering (ECCE). IEEE, 2023, pp. 1–6

  DOI
• ML
  Hyperparameter-Tuned Machine Learning Models for Complex Medical Datasets Classification

  S. Datta, S.M.M. Hasan, A.H. Efat et al.

  In International Conference on Electrical, Computer and Communication Engineering (ECCE). IEEE, 2023, pp. 1–6

  DOI
• ML
  Early Stage Prediction of Autism Spectrum Disorder: Analyzing Different Hyperparameter-Tuned Machine Learning Classifiers

  M.F. Taraque, S.M.M. Hasan, A.H. Efat et al.

  In International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE). IEEE, 2022, pp. 1–4

  DOI
• ML
  Inquisition of the Support Vector Machine Classifier in Association with Hyper-Parameter Tuning: A Disease Prognostication Model

  A.H. Efat^†, S.M.M. Hasan, N. Jannat et al.

  In International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE). IEEE, 2022, pp. 131–134

  DOI