Effective event description using trend template language and efficient intrusion detection. - Md. Ahsan Habib 003; Phan Minh Dung (SMC, 2007)

Constraint-based Trend Template for Intrusion Detection. - Md. Ahsan Habib 003; Krisna Prasad Pawdel; Mohammad Rajiullah; Prashanta Man Shrestha (J. Softw., 2008)

An Evaluation of Data Processing Solutions Considering Preprocessing and "Special" Features. - Rabiul Islam Jony; Nabeel Mohammed; Ahsan Habib 003; Sifat Momen; Rakibul Islam Rony (SITIS, 2015)

Big Data Use Case Domains for Telecom Operators. - Rabiul Islam Jony; Ahsan Habib 003; Nabeel Mohammed; Rakibul Islam Rony (SmartCity, 2015)

Impact of ECG Dataset Diversity on Generalization of CNN Model for Detecting QRS Complex. - Ahsan Habib 003; Chandan K. Karmakar; John Yearwood (IEEE Access, 2019)

Robust Patient Information Embedding and Retrieval Mechanism for ECG Signals. - Iynkaran Natgunanathan; Chandan K. Karmakar; Sutharshan Rajasegarar; Tianrui Zong; Ahsan Habib 003 (IEEE Access, 2020)

Choosing a sampling frequency for ECG QRS detection using convolutional networks. - Ahsan Habib 003; Chandan K. Karmakar; John Yearwood (CoRR, 2020)

Learning post-processing for QRS detection using Recurrent Neural Network. - Ahsan Habib 003; Chandan K. Karmakar; John Yearwood (CoRR, 2021)

Impact of synthetic noise signature and physiologic ECG signal on designing ML-based ECG noise detection framework. - Saifur Rahman 002; Ahsan Habib 003; Chandan K. Karmakar; John Yearwood (EMBC, 2023)

Cesarean Section Classification Using Machine Learning With Feature Selection, Data Balancing, and Explainability. - Nahid Sultan; Mahmudul Hasan 018; Md Ferdous Wahid; Hasi Saha; Ahsan Habib 003 (IEEE Access, 2023)

Optimising complexity of CNN models for resource constrained devices: QRS detection case study. - Ahsan Habib 003; Chandan K. Karmakar; John Yearwood (CoRR, 2023)

Interpretability and Optimisation of Convolutional Neural Networks Based on Sinc-Convolution. - Ahsan Habib 003; Chandan K. Karmakar; John Yearwood (IEEE J. Biomed. Health Informatics, 2023)

Performance of a Convolutional Neural Network Derived From PPG Signal in Classifying Sleep Stages. - Ahsan Habib 003; Mohammod Abdul Motin; Thomas Penzel; Marimuthu Palaniswami; John Yearwood; Chandan K. Karmakar (IEEE Trans. Biomed. Eng., 2023)

Domain Agnostic Post-Processing for QRS Detection Using Recurrent Neural Network. - Ahsan Habib 003; Chandan K. Karmakar; John Yearwood (IEEE J. Biomed. Health Informatics, 2023)

The Impact of Simultaneous Adversarial Attacks on Robustness of Medical Image Analysis. - Shantanu Pal; Saifur Rahman 002; Maedeh Beheshti; Ahsan Habib 003; Zahra Jadidi; Chandan K. Karmakar (IEEE Access, 2024)

MDDBranchNet: A Deep Learning Model for Detecting Major Depressive Disorder Using ECG Signal. - Ahsan Habib 003; Shruthi Narayanan Vaniya; Ahsan Khandoker; Chandan K. Karmakar (IEEE J. Biomed. Health Informatics, 2024)

Attack-data independent defence mechanism against adversarial attacks on ECG signal. - Saifur Rahman 002; Shantanu Pal; Ahsan Habib 003; Lei Pan 002; Chandan K. Karmakar (Comput. Networks, 2025)