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2025

Conference Publication

Entity-Aware Optimal Transport and Residual Attention for Multimodal Content Moderation

Shah, Siddhant Bikram, Shiwakoti, Shuvam, Bhuiyan, Touhid, Moni, Mohammad Ali, Thapa, Surendrabikram and Naseem, Usman (2025). Entity-Aware Optimal Transport and Residual Attention for Multimodal Content Moderation. New York, NY, USA: ACM. doi: 10.1145/3701716.3717551

Entity-Aware Optimal Transport and Residual Attention for Multimodal Content Moderation

2025

Conference Publication

Dimension-Wise Gated Cross-Attention for Multimodal Sentiment Analysis

Hossain, Md. Shakil, Hossain, Md.Mithun, Chaki, Sudipto, Mridha, M. F., Rahman, Md. Saifur and Moni, Mohammad Ali (2025). Dimension-Wise Gated Cross-Attention for Multimodal Sentiment Analysis. New York, NY, USA: ACM. doi: 10.1145/3701716.3718381

Dimension-Wise Gated Cross-Attention for Multimodal Sentiment Analysis

2025

Conference Publication

IoT-Enabled Health Assistance for Post-disaster Scenarios

Hossain, Soikat, Sarkar, Ratna R., Yousuf, Mohammad Abu and Moni, Mohammad Ali (2025). IoT-Enabled Health Assistance for Post-disaster Scenarios. Trends in Electronics and Health Informatics TEHI 2023, Dhaka, Bangladesh, 26–27 December 2023. Singapore: Springer. doi: 10.1007/978-981-97-3937-0_44

IoT-Enabled Health Assistance for Post-disaster Scenarios

2024

Conference Publication

Real-Time Human Activity Recognition Using Non-intrusive Sensing and Continual Learning

Rahman, Md Geaur, ur Rehman, Sabih, Fealy, Shanna, Vallejo, Johan Sebastian Ramirez, Fuskelay, Aayush and Moni, Mohammad Ali (2024). Real-Time Human Activity Recognition Using Non-intrusive Sensing and Continual Learning. 37th Australasian Joint Conference on Artificial Intelligence, AI 2024, Melbourne, VIC Australia, 25–29 November 2024. Singapore: Springer. doi: 10.1007/978-981-96-0351-0_30

Real-Time Human Activity Recognition Using Non-intrusive Sensing and Continual Learning

2024

Conference Publication

EAH-Net: a novel ensemble attention-based hybrid architecture for breast cancer diagnosis utilizing ultrasound images

Hasan, Md. Zahid, Hossain, Shahed, Jim, Risul Islam, Bulbul, Abdullah Al-Mamun, Rahman, Md. Tanvir and Moni, Mohammad Ali (2024). EAH-Net: a novel ensemble attention-based hybrid architecture for breast cancer diagnosis utilizing ultrasound images. 1st International Workshop on Multimedia Computing for Health and Medicine (MCHM), Melbourne, VIC, Australia, 28 October-1 November 2024. New York, United States: Association for Computing Machinery. doi: 10.1145/3688868.3689198

EAH-Net: a novel ensemble attention-based hybrid architecture for breast cancer diagnosis utilizing ultrasound images

2024

Conference Publication

SeizureFed: federated learning for pediatric seizure detection through EEG using E-ResNet

Kaikaus, Maleeha, Ahmed, Sabbir, Yousuf, Mohammad Abu and Moni, Mohammad Ali (2024). SeizureFed: federated learning for pediatric seizure detection through EEG using E-ResNet. ICCA 2024: 3rd International Conference on Computing Advancements, Dhaka, Bangladesh, 17-18 October 2024. New York, United States: Association for Computing Machinery. doi: 10.1145/3723178.3723289

SeizureFed: federated learning for pediatric seizure detection through EEG using E-ResNet

2024

Conference Publication

Sentiment Analysis in Twitter Data Using Machine Learning-Based Approach

Al Arafat, Kazi Abdullah, Roni, Mahmudur Rahman, Siddique, Sumaya, Yousuf, Mohammad Abu and Moni, Mohammad Ali (2024). Sentiment Analysis in Twitter Data Using Machine Learning-Based Approach. International Conference on Trends in Electronics and Health Informatics TEHI 2023, Dhaka, Bangladesh, 26–27 December 2023. Singapore: Springer. doi: 10.1007/978-981-97-3937-0_12

Sentiment Analysis in Twitter Data Using Machine Learning-Based Approach

2024

Conference Publication

Enhancing Image Forensics with Transformer: A Multi-head Attention Approach for Robust Metadata Analysis

Appel Mahmud Pranto, Md., Asad, Nafiz Al, Yousuf, Mohammad Abu, Uddin, Mohammed Nasir and Moni, Mohammad Ali (2024). Enhancing Image Forensics with Transformer: A Multi-head Attention Approach for Robust Metadata Analysis. International Conference on Trends in Electronics and Health Informatics TEHI 2023, Dhaka, Bangladesh, 26–27 December 2023. Singapore: Springer. doi: 10.1007/978-981-97-3937-0_45

Enhancing Image Forensics with Transformer: A Multi-head Attention Approach for Robust Metadata Analysis

2024

Conference Publication

Sleep apnea detection through HRV and SPO2 analysis of single-lead ECG signals using machine learning algorithms

Islam, Md Ashraful, Chaki, Sudipto, Yousuf, Mohammad Abu and Moni, Mohammad Ali (2024). Sleep apnea detection through HRV and SPO2 analysis of single-lead ECG signals using machine learning algorithms. ICCA 2024: 3rd International Conference on Computing Advancements, Dhaka, Bangladesh, 17-18 October 2024. New York, United States: Association for Computing Machinery. doi: 10.1145/3723178.3723251

Sleep apnea detection through HRV and SPO2 analysis of single-lead ECG signals using machine learning algorithms

2024

Conference Publication

NewBreeze: A Comprehensive Solution to a Beginner-Friendly Arch Linux Distribution with Zen Kernel

Al Mamun, Abdullah, Najrul Howlader, S. M., Khanom, Shoma, Yousuf, Mohammad Abu and Moni, Mohammad Ali (2024). NewBreeze: A Comprehensive Solution to a Beginner-Friendly Arch Linux Distribution with Zen Kernel. International Conference on Trends in Electronics and Health Informatics TEHI 2023, Dhaka, Bangladesh, 26–27 December 2023. Singapore: Springer. doi: 10.1007/978-981-97-3937-0_14

NewBreeze: A Comprehensive Solution to a Beginner-Friendly Arch Linux Distribution with Zen Kernel

2024

Conference Publication

Bias in deep learning skin cancer detection: parallel residual convolution network classification and racial bias quantification : skin cancer racial bias

Shahid, Sumaiya Binte, Yousuf, Mohammad Abu, Hosen, Md. Biplob, Ahmed, Sabbir and Ali Moni, Mohammad (2024). Bias in deep learning skin cancer detection: parallel residual convolution network classification and racial bias quantification : skin cancer racial bias. ICCA 2024: 3rd International Conference on Computing Advancements, Dhaka, Bangladesh, 17-18 October 2024. New York, United States: Association for Computing Machinery. doi: 10.1145/3723178.3723310

Bias in deep learning skin cancer detection: parallel residual convolution network classification and racial bias quantification : skin cancer racial bias

2024

Conference Publication

Identifying predictors of physical activity and walking outcomes after stroke through a machine learning approach

Nayak, Neelam, Mahendran, Niruthikha, Moni, Mohammad, Kuys, Suzanne and Brauer, Sandra (2024). Identifying predictors of physical activity and walking outcomes after stroke through a machine learning approach. Asia Pacific Stroke Conference 2024 Combined Australian and New Zealand Stroke Organisation Conference, Adelaide, SA, Australia, 25–28 September 2024. Basel, Switzerland: S. Karger.

Identifying predictors of physical activity and walking outcomes after stroke through a machine learning approach

2024

Conference Publication

UMML: layout-aware text-image fusion for unified multilingual multimodal learning

Veeramani, Hariram, Thapa, Surendrabikram, Salman, Mohammad, Moni, Mohammad Ali and Naseem, Usman (2024). UMML: layout-aware text-image fusion for unified multilingual multimodal learning. 2024 IEEE International Conference on Data Mining Workshops (ICDMW), Abu Dhabi, United Arab Emirates, 9 December 2024. Piscataway, NJ, United States: IEEE Computer Society. doi: 10.1109/ICDMW65004.2024.00029

UMML: layout-aware text-image fusion for unified multilingual multimodal learning

2024

Conference Publication

GDRNet: a novel graph neural network architecture for diabetic retinopathy detection

Hossain, Shahed, Hasan, Md. Zahid, Jim, Risul Islam, Shuva, Taslima Ferdaus, Rahman, Md. Tanvir, Bulbul, Abdullah Al-Mamun, Khan, Risala Tasin, Kaiser, M. Shamim and Moni, Mohammad Ali (2024). GDRNet: a novel graph neural network architecture for diabetic retinopathy detection. 2024 IEEE International Conference on Data Mining Workshops (ICDMW), Abu Dhabi, United Arab Emirates, 9 December 2024. Piscataway, NJ, United States: IEEE Computer Society. doi: 10.1109/ICDMW65004.2024.00055

GDRNet: a novel graph neural network architecture for diabetic retinopathy detection

2024

Conference Publication

Bengali cyberbullying: detection, categorization, and gender bias analysis

Hossain, Md. Mithun, Hossain, Md. Shakil, Chaki, Sudipto, Rahman, Md. Saifur and Moni, Mohammad Ali (2024). Bengali cyberbullying: detection, categorization, and gender bias analysis. 2024 IEEE International Conference on Data Mining Workshops (ICDMW), Abu Dhabi, United Arab Emirates, 9 December 2024. Piscataway, NJ, United States: IEEE Computer Society. doi: 10.1109/ICDMW65004.2024.00027

Bengali cyberbullying: detection, categorization, and gender bias analysis

2023

Conference Publication

Observation of heart attack patients utilizing machine learning with monarch butterfly optimization and IoT

Rahman, Wahidur, Abul Ala Walid, Md., Saklain Galib, S. M., Rokhsana, Kaniz, Abdul Hai, Talha Bin, Mohammad Azad, Mir and Ali Moni, Mohammad (2023). Observation of heart attack patients utilizing machine learning with monarch butterfly optimization and IoT. 2023 26th International Conference on Computer and Information Technology, ICCIT 2023, Cox's Bazar, Bangladesh, 13-15 December 2023. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/iccit60459.2023.10441444

Observation of heart attack patients utilizing machine learning with monarch butterfly optimization and IoT

2023

Conference Publication

CervixMed: Detecting cervical cancer based on combinational data using hybrid architecture

Gupta, Debashis, Golder, Aditi, Haque, Md. Mahfuzul and Moni, Mohammad Ali (2023). CervixMed: Detecting cervical cancer based on combinational data using hybrid architecture. 2023 International Conference on Digital Image Computing: Techniques and Applications (DICTA), Port Macquarie, NSW Australia, 28 November - 1 December 2023. Piscataway, NJ United States: IEEE. doi: 10.1109/dicta60407.2023.00085

CervixMed: Detecting cervical cancer based on combinational data using hybrid architecture

2023

Conference Publication

AI-enhanced biomedical antennas for 2mm brain tumor detection using scattering, admittance and impedance parameters: a comparative analysis

Hasan, Nafiul, Rana, Md. Masud, Hasan, Md Mahmudul and Moni, Mohammad Ali (2023). AI-enhanced biomedical antennas for 2mm brain tumor detection using scattering, admittance and impedance parameters: a comparative analysis. 2023 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD), Dhaka, Bangladesh, 21 - 23 September 2023. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/icict4sd59951.2023.10303373

AI-enhanced biomedical antennas for 2mm brain tumor detection using scattering, admittance and impedance parameters: a comparative analysis

2023

Conference Publication

What baseline and intervention characteristics predict walking speed six months after stroke?

Nayak, Neelam, Brauer, Sandra, Kuys, Suzanne, Moni, Mohammad Ali and Mahendran, Niruthikha (2023). What baseline and intervention characteristics predict walking speed six months after stroke?. Stroke 2023 – The Combined Stroke Society of Australasia and Smart Strokes Nursing and Allied Health Scientific Meeting, Melbourne, VIC, Australia, 22-25 August 2023. London, United Kingdom: Sage Publications.

What baseline and intervention characteristics predict walking speed six months after stroke?

2023

Conference Publication

Machine learning-based biomedical antenna for brain tumor detection

Hasan, Nafiul, Aktar, Mousumi, Rana, Md. Masud and Moni, Mohammad Ali (2023). Machine learning-based biomedical antenna for brain tumor detection. International Conference on Next-Generation Computing, IoT and Machine Learning (NCIM), Gazipur, Bangladesh, 16-17 June 2023. Piscataway, NJ, United States: IEEE. doi: 10.1109/ncim59001.2023.10212805

Machine learning-based biomedical antenna for brain tumor detection