M
Md Rizwanul Kabir Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
unknown
4 h-index
9 pubs
110 cited
Research Areas
Biography and Research Information
OverviewAI-generated summary
Md Rizwanul Kabir's research utilizes deep learning and transformer-based models for diverse applications, including financial time series forecasting and medical image analysis. His work has involved the development of hybrid deep learning models for financial predictions, as demonstrated in his 2025 publication on LSTM–Transformer-based forecasting. In the medical domain, Kabir has contributed to the detection of COVID-19 using chest X-ray images with an ensemble-based approach (Covid-EnsembleNet, 2022) and has investigated the analysis of EEG signals for emotion recognition (2023). His research also extends to speed-of-sound imaging for medical applications, with publications on transformer-based GANs for reconstruction and GPU acceleration for real-time imaging (2024-2025). Kabir has collaborated with Mariofanna Milanova and Md. Samin Morshed at the University of Arkansas at Little Rock on multiple publications. His scholarly output includes 9 publications with an h-index of 4 and 99 citations.
Metrics
- h-index: 4
- Publications: 9
- Citations: 110
Selected Publications
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Entity Resolution Using Transformers for Synthetic Datasets (2025)
-
Semantic Entity Resolution on Synthetic Datasets: A Transformer-Centric Approach (2025)
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LSTM–Transformer-Based Robust Hybrid Deep Learning Model for Financial Time Series Forecasting (2025)
Collaboration Network
Top Collaborators
Mirza Muntasir Nishat
Islamic University of Technology (BD)
3 shared publications
- Covid-EnsembleNet: An Ensemble Based Approach for Detecting Covid-19 by utilising Chest X-ray Images
- An Efficient Analysis of EEG Signals to Perform Emotion Analysis
- Procuring MFCCs from Crema-D Dataset for Sentiment Analysis using Deep Learning Models with Hyperparameter Tuning
Fahim Faisal
Islamic University of Technology (BD)
3 shared publications
- Covid-EnsembleNet: An Ensemble Based Approach for Detecting Covid-19 by utilising Chest X-ray Images
- An Efficient Analysis of EEG Signals to Perform Emotion Analysis
- Procuring MFCCs from Crema-D Dataset for Sentiment Analysis using Deep Learning Models with Hyperparameter Tuning
Haotian Chen
University of Illinois Urbana-Champaign (US)
3 shared publications
- TranSpeed: Transformer-based Generative Adversarial Network for Speed-of-sound Reconstruction in Pulse-echo Mode
- Generalizable Deep Learning for Pulse-echo Speed of Sound Imaging via Time-shift Maps
- GPU-Based Acceleration for Real-Time Speed-of-Sound Imaging
Jingyi Zuo
D-Tech (United States) (US)
3 shared publications
- TranSpeed: Transformer-based Generative Adversarial Network for Speed-of-sound Reconstruction in Pulse-echo Mode
- Generalizable Deep Learning for Pulse-echo Speed of Sound Imaging via Time-shift Maps
- GPU-Based Acceleration for Real-Time Speed-of-Sound Imaging
Aiguo Han
Virginia Tech (US)
3 shared publications
- TranSpeed: Transformer-based Generative Adversarial Network for Speed-of-sound Reconstruction in Pulse-echo Mode
- Generalizable Deep Learning for Pulse-echo Speed of Sound Imaging via Time-shift Maps
- GPU-Based Acceleration for Real-Time Speed-of-Sound Imaging
Mariofanna Milanova
University of Arkansas at Little Rock
3 shared publications
In database
- LSTM–Transformer-Based Robust Hybrid Deep Learning Model for Financial Time Series Forecasting
- Semantic Entity Resolution on Synthetic Datasets: A Transformer-Centric Approach
- Entity Resolution Using Transformers for Synthetic Datasets
Md. Samin Morshed
University of Arkansas at Little Rock
2 shared publications
In database
- Semantic Entity Resolution on Synthetic Datasets: A Transformer-Centric Approach
- Entity Resolution Using Transformers for Synthetic Datasets
John R. Talburt
University of Arkansas at Little Rock (US)
2 shared publications
- Semantic Entity Resolution on Synthetic Datasets: A Transformer-Centric Approach
- Entity Resolution Using Transformers for Synthetic Datasets
Abdullah Al-Monsur
Islamic University of Technology (BD)
1 shared publication
- Covid-EnsembleNet: An Ensemble Based Approach for Detecting Covid-19 by utilising Chest X-ray Images
Abrar Mohammad Ar-Rafi
Islamic University of Technology (BD)
1 shared publication
- Covid-EnsembleNet: An Ensemble Based Approach for Detecting Covid-19 by utilising Chest X-ray Images
Muhammad Mutiul Muhaimin
Islamic University of Technology (BD)
1 shared publication
- Procuring MFCCs from Crema-D Dataset for Sentiment Analysis using Deep Learning Models with Hyperparameter Tuning
Md. Abrar Mahir
Islamic University of Technology (BD)
1 shared publication
- Procuring MFCCs from Crema-D Dataset for Sentiment Analysis using Deep Learning Models with Hyperparameter Tuning
Nchouwat Ndumgouo Ibrahim Moubarak
Islamic University of Technology (BD)
1 shared publication
- Procuring MFCCs from Crema-D Dataset for Sentiment Analysis using Deep Learning Models with Hyperparameter Tuning
Ahnaf Akif Rahman
Islamic University of Technology (BD)
1 shared publication
- An Efficient Analysis of EEG Signals to Perform Emotion Analysis
Rashed Hasan Ratul
Islamic University of Technology (BD)
1 shared publication
- An Efficient Analysis of EEG Signals to Perform Emotion Analysis
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