Research interests
i. Interpretable AI - seek domain specific interpretability in deep learning model's decision-making,
ii. Physiological time-series analysis using Machine learning and deep learning.
Publications
Farnad Nasirzadeh, Chandan Karmakar, Ahsan Habib, Kevin Benny Neelangal, Mostafa Mir, SangHyun Lee, Tony Arnel
(2024), pp. 1-38, Heliyon, Amsterdam, The Netherlands, C1
Interpretability and Optimisation of Convolutional Neural Networks Based on Sinc-Convolution
A Habib, C Karmakar, J Yearwood
(2023), Vol. 27, pp. 1758-1769, IEEE Journal of Biomedical and Health Informatics, Piscataway, N.J., C1
Performance of a Convolutional Neural Network Derived from PPG Signal in Classifying Sleep Stages
A Habib, M Motin, T Penzel, M Palaniswami, J Yearwood, C Karmakar
(2023), Vol. 70, pp. 1717-1727, IEEE Transactions on Biomedical Engineering, Piscataway, N.J., C1
Domain Agnostic Post-Processing for QRS Detection Using Recurrent Neural Network
Ahsan Habib, Chandan Karmakar, John Yearwood
(2023), Vol. 27, pp. 3748-3759, IEEE Journal of Biomedical and Health Informatics, Piscataway, N.J., C1
Nahid Sultan, Mahmudul Hasan, Md Wahid, Hasi Saha, Ahsan Habib
(2023), Vol. 11, pp. 84487-84499, IEEE Access, Piscataway, N.J., C1
Saifur Rahman, Ahsan Habib, Chandan Karmakar, John Yearwood
(2023), pp. 1-4, EMBC 2023 : Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, Sydney, Australia, E1
Emotion recognition from isolated Bengali speech
J Devnath, M Sabbir Hossain, M Rahman, H Saha, A Habib, M Nahid Sultan
(2020), Vol. 98, pp. 1523-1533, Journal of Theoretical and Applied Information Technology, C1-1
Robust patient information embedding and retrieval mechanism for ECG signals
I Natgunanathan, C Karmakar, S Rajasegarar, T Zong, A Habib
(2020), Vol. 8, pp. 181233-181245, IEEE Access, C1
Impact of ECG dataset diversity on generalization of CNN model for detecting QRS complex
Ahsan Habib, Chandan Karmakar, John Yearwood
(2019), Vol. 7, pp. 93275-93285, IEEE access, Piscataway, N.J., C1
Classification of Microscopic Images of Bacteria Using Deep Convolutional Neural Network
Md Wahid, Tasnim Ahmed, Md Habib
(2018), pp. 217-220, 2018 10TH INTERNATIONAL CONFERENCE ON ELECTRICAL AND COMPUTER ENGINEERING (ICECE), BANGLADESH, Bangladesh Univ Engn & Technol, Dept Elect & Elect Engn, Dhaka, E1-1
Implementation of Bangla Speech Recognition in Voice Input Speech Output (VISO) Calculator
Tasnim Ahmed, Md Wahid, Md Habib
(2018), 2018 INTERNATIONAL CONFERENCE ON BANGLA SPEECH AND LANGUAGE PROCESSING (ICBSLP), BANGLADESH, Sylhet, E1-1
Big data use case domains for telecom operators
Rabiul Jony, Rabiul Jony, Ahsan Habib, Ahsan Habib, Nabeel Mohammed, Nabeel Mohammed, Rakibul Rony, Rakibul Rony
(2015), pp. 850-855, SmartCity 2015 : Proceedings of the IEEE International Conference on Smart City/SocialCom/SustainCom, Chengdu, China, E1-1
An evaluation of data processing solutions considering preprocessing and 'special' features
Rabiul Jony, Rabiul Jony, Nabeel Mohammed, Nabeel Mohammed, Ahsan Habib, Ahsan Habib, Sifat Momen, Sifat Momen, Rakibul Rony, Rakibul Rony
(2015), pp. 224-231, SITIS 2015 : Proceedings of the 11th International Conference on Signal-Image Technology & Internet-Based Systems, Bangkok, Thailand, E1-1
Effective fire event notification system for fire service department of Bangladesh
Md Al Imran, Md Al Imran, Md Habib, Md Habib
(2015), ICEEICT 2015 : Proceedings of the 2nd International Conference on Electrical Engineering and Information Communication Technology, Dhaka, Bangladesh, E1-1
Effective event description using trend template language and efficient intrusion detection
Md Habib, Md Habib, Phan Dung, Phan Dung
(2007), pp. 996-+, 2007 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS, VOLS 1-8, Montreal, COOK ISLANDS, E1-1
Funded Projects at Deakin
Industry and Other Funding
Risk of Attempt of Suicide Model
A/Prof Chandan Karmakar, Prof Maia Angelova Turkedjieva, Dr Md Ahsan Habib
Leidos, Inc
- 2024: $15,503
- 2023: $34,043
Supervisions
No completed student supervisions to report