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Dr

Md Abdul Awal

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Overview

Availability

Dr Md Abdul Awal is:
Available for supervision

Works

Search Professor Md Abdul Awal’s works on UQ eSpace

44 works between 2014 and 2024

1 - 20 of 44 works

2024

Conference Publication

Integrating dielectric modelling with machine learning for skin cancer classification

Awal, Md Abdul, Naqvi, Syed Akbar Raza and Abbosh, Amin (2024). Integrating dielectric modelling with machine learning for skin cancer classification. 2024 IEEE Asia-Pacific Microwave Conference (APMC), Bali, Indonesia, 17-20 November 2024. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/apmc60911.2024.10867598

Integrating dielectric modelling with machine learning for skin cancer classification

2024

Journal Article

HepNet: deep neural network for classification of early-stage hepatic steatosis using microwave signals

Hasan, Sazid, Brankovic, Aida, Awal, Md Abdul, Rezaeieh, Sasan Ahdi, Keating, Shelley E., Abbosh, Amin M. and Zamani, Ali (2024). HepNet: deep neural network for classification of early-stage hepatic steatosis using microwave signals. IEEE Journal of Biomedical and Health Informatics, 29 (1), 142-151. doi: 10.1109/jbhi.2024.3489626

HepNet: deep neural network for classification of early-stage hepatic steatosis using microwave signals

2024

Conference Publication

Scaled wavelet for hepatic steatosis classification using microwave signals

Hasan, Sazid, Zamani, Ali, Awal, Md Abdul and Abbosh, Amin (2024). Scaled wavelet for hepatic steatosis classification using microwave signals. 2024 IEEE International Symposium on Antennas and Propagation and INC/USNC‐URSI Radio Science Meeting (AP-S/INC-USNC-URSI), Firenze, Italy, 14-19 July 2024. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ap-s/inc-usnc-ursi52054.2024.10686529

Scaled wavelet for hepatic steatosis classification using microwave signals

2024

Journal Article

Adaptive weighted vector means optimization for healthy and malignant skin modeling at microwave frequencies using clinical data

Awal, Md. Abdul, Naqvi, Syed Akbar Raza, Foong, Damien and Abbosh, Amin (2024). Adaptive weighted vector means optimization for healthy and malignant skin modeling at microwave frequencies using clinical data. IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology, 8 (2), 1-12. doi: 10.1109/jerm.2024.3374090

Adaptive weighted vector means optimization for healthy and malignant skin modeling at microwave frequencies using clinical data

2024

Journal Article

Towards non-invasive liver health monitoring: comprehensive microwave dielectric spectroscopy of freshly excised human abdominal tissues

Awal, Md. Abdul, Janani, Azin S., Rezaeieh, Sasan Ahdi, Macdonald, Graeme A. and Abbosh, Amin (2024). Towards non-invasive liver health monitoring: comprehensive microwave dielectric spectroscopy of freshly excised human abdominal tissues. IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology, 9 (99), 1-13. doi: 10.1109/jerm.2024.3416758

Towards non-invasive liver health monitoring: comprehensive microwave dielectric spectroscopy of freshly excised human abdominal tissues

2023

Journal Article

HGSOXGB: Hunger-Games-Search-Optimization-Based Framework to Predict the Need for ICU Admission for COVID-19 Patients Using eXtreme Gradient Boosting

Pinki, Farhana Tazmim, Awal, Md Abdul, Mumenin, Khondoker Mirazul, Hossain, Md. Shahadat, Faysal, Jabed Al, Rana, Rajib, Almuqren, Latifah, Ksibi, Amel and Samad, Md Abdus (2023). HGSOXGB: Hunger-Games-Search-Optimization-Based Framework to Predict the Need for ICU Admission for COVID-19 Patients Using eXtreme Gradient Boosting. Mathematics, 11 (18) 3960, 1-19. doi: 10.3390/math11183960

HGSOXGB: Hunger-Games-Search-Optimization-Based Framework to Predict the Need for ICU Admission for COVID-19 Patients Using eXtreme Gradient Boosting

2022

Conference Publication

Fake news detection of COVID-19 using machine learning techniques

Ghosh, Promila, Raihan, M., Hassan, Md. Mehedi, Akter, Laboni, Zaman, Sadika and Awal, Md. Abdul (2022). Fake news detection of COVID-19 using machine learning techniques. ICO 2021: Intelligent Computing and Optimization, Online, 30 - 31 December 2021. Cham, Switzerland: Springer International Publishing. doi: 10.1007/978-3-030-93247-3_46

Fake news detection of COVID-19 using machine learning techniques

2022

Journal Article

Early Prediction of Diabetes Using an Ensemble of Machine Learning Models

Dutta, Aishwariya, Hasan, Md. Kamrul, Ahmad, Mohiuddin, Awal, Md. Abdul, Islam, Md. Akhtarul, Masud, Mehedi and Meshref, Hossam (2022). Early Prediction of Diabetes Using an Ensemble of Machine Learning Models. International Journal of Environmental Research and Public Health, 19 (19) 12378, 1-25. doi: 10.3390/ijerph191912378

Early Prediction of Diabetes Using an Ensemble of Machine Learning Models

2022

Journal Article

HGSORF: Henry Gas Solubility Optimization-based Random Forest for C-section prediction and XAI-based cause analysis

Islam, Md Saiful, Awal, Md. Abdul, Laboni, Jinnaton Nessa, Pinki, Farhana Tazmim, Karmokar, Shatu, Mumenin, Khondoker Mirazul, Al-Ahmadi, Saad, Rahman, Md. Ashfikur, Hossain, Md. Shahadat and Mirjalili, Seyedali (2022). HGSORF: Henry Gas Solubility Optimization-based Random Forest for C-section prediction and XAI-based cause analysis. Computers in Biology and Medicine, 147 105671, 1-14. doi: 10.1016/j.compbiomed.2022.105671

HGSORF: Henry Gas Solubility Optimization-based Random Forest for C-section prediction and XAI-based cause analysis

2022

Journal Article

Development of a smartphone-based expert system for COVID-19 risk prediction at early stage

Raihan, M., Hassan, Md. Mehedi, Hasan, Towhid, Bulbul, Abdullah Al-Mamun, Hasan, Md. Kamrul, Hossain, Md. Shahadat, Roy, Dipa Shuvo and Awal, Md. Abdul (2022). Development of a smartphone-based expert system for COVID-19 risk prediction at early stage. Bioengineering, 9 (7) 281, 281. doi: 10.3390/bioengineering9070281

Development of a smartphone-based expert system for COVID-19 risk prediction at early stage

2022

Journal Article

An improved machine-learning approach for COVID-19 prediction using Harris hawks optimization and feature analysis using SHAP

Debjit, Kumar, Islam, Md Saiful, Rahman, Md. Abadur, Pinki, Farhana Tazmim, Nath, Rajan Dev, Al-Ahmadi, Saad, Hossain, Md. Shahadat, Mumenin, Khondoker Mirazul and Awal, Md. Abdul (2022). An improved machine-learning approach for COVID-19 prediction using Harris hawks optimization and feature analysis using SHAP. Diagnostics, 12 (5) 1023, 1-19. doi: 10.3390/diagnostics12051023

An improved machine-learning approach for COVID-19 prediction using Harris hawks optimization and feature analysis using SHAP

2022

Journal Article

Machine Learning Approaches for Predicting Hypertension and Its Associated Factors Using Population-Level Data From Three South Asian Countries

Islam, Sheikh Mohammed Shariful, Talukder, Ashis, Awal, Md. Abdul, Siddiqui, Md. Muhammad Umer, Ahamad, Md. Martuza, Ahammed, Benojir, Rawal, Lal B., Alizadehsani, Roohallah, Abawajy, Jemal, Laranjo, Liliana, Chow, Clara K. and Maddison, Ralph (2022). Machine Learning Approaches for Predicting Hypertension and Its Associated Factors Using Population-Level Data From Three South Asian Countries. Frontiers in Cardiovascular Medicine, 9 839379, 1-9. doi: 10.3389/fcvm.2022.839379

Machine Learning Approaches for Predicting Hypertension and Its Associated Factors Using Population-Level Data From Three South Asian Countries

2022

Journal Article

Machine learning models for classification and identification of significant attributes to detect type 2 diabetes

Howlader, Koushik Chandra, Satu, Md. Shahriare, Awal, Md. Abdul, Islam, Md. Rabiul, Islam, Sheikh Mohammed Shariful, Quinn, Julian M. W. and Moni, Mohammad Ali (2022). Machine learning models for classification and identification of significant attributes to detect type 2 diabetes. Health Information Science and Systems, 10 (1) 2, 2. doi: 10.1007/s13755-021-00168-2

Machine learning models for classification and identification of significant attributes to detect type 2 diabetes

2022

Journal Article

XGB-RF: A hybrid machine learning approach for IoT intrusion detection

Faysal, Jabed Al, Mostafa, Sk Tahmid, Tamanna, Jannatul Sultana, Mumenin, Khondoker Mirazul, Arifin, Md. Mashrur, Awal, Md. Abdul, Shome, Atanu and Mostafa, Sheikh Shanawaz (2022). XGB-RF: A hybrid machine learning approach for IoT intrusion detection. Telecom, 3 (1), 52-69. doi: 10.3390/telecom3010003

XGB-RF: A hybrid machine learning approach for IoT intrusion detection

2022

Journal Article

Determination of molecular signatures and pathways common to brain tissues of autism spectrum disorder: Insights from comprehensive bioinformatics approach

Bristy, Sadia Afrin, Islam, A.M. Humyra, Andalib, K.M. Salim, Khan, Umama, Awal, Md Abdul and Rahman, Md Habibur (2022). Determination of molecular signatures and pathways common to brain tissues of autism spectrum disorder: Insights from comprehensive bioinformatics approach. Informatics in Medicine Unlocked, 29 100871, 1-13. doi: 10.1016/j.imu.2022.100871

Determination of molecular signatures and pathways common to brain tissues of autism spectrum disorder: Insights from comprehensive bioinformatics approach

2022

Journal Article

Bioinformatics and system biology techniques to determine biomolecular signatures and pathways of prion disorder

Mredul, Md Bazlur Rahman, Khan, Umama, Rana, Humayan Kabir, Meem, Tahera Mahnaz, Awal, Md Abdul, Rahman, Md Habibur and Khan, Md Salauddin (2022). Bioinformatics and system biology techniques to determine biomolecular signatures and pathways of prion disorder. Bioinformatics and Biology Insights, 16, 1-14. doi: 10.1177/11779322221145373

Bioinformatics and system biology techniques to determine biomolecular signatures and pathways of prion disorder

2022

Journal Article

Bangla natural language processing: a comprehensive analysis of classical, machine learning, and deep learning-based methods

Sen, Ovishake, Fuad, Mohtasim, Islam, Md. Nazrul, Rabbi, Jakaria, Masud, Mehedi, Hasan, Md. Kamrul, Awal, Md. Abdul, Ahmed Fime, Awal, Hasan Fuad, Md. Tahmid, Sikder, Delowar and Raihan Iftee, Md. Akil (2022). Bangla natural language processing: a comprehensive analysis of classical, machine learning, and deep learning-based methods. IEEE Access, 10, 38999-39044. doi: 10.1109/access.2022.3165563

Bangla natural language processing: a comprehensive analysis of classical, machine learning, and deep learning-based methods

2022

Conference Publication

Machine-learning based physical exercise identification with heuristic optimized features prioritization

Mondal, Proloy Kumar, Abdul Awal, Md. and Nahid, Abdullah-Al (2022). Machine-learning based physical exercise identification with heuristic optimized features prioritization. International Conference on Fourth Industrial Revolution and Beyond 2021, Dhaka, Bangladesh, 10-11 December 2021. Singapore, Singapore: Springer Nature Singapore. doi: 10.1007/978-981-19-2445-3_4

Machine-learning based physical exercise identification with heuristic optimized features prioritization

2021

Conference Publication

GWO-XGB: Grey Wolf Optimization-based eXtreme Gradient Boosting for hypertension prediction in Bangladesh

Tahsin, Tasfia, Mumenin, Khondoker Mirazul, Pinki, Farhana Tazmim, Tuli, Anamika Biswas, Sikder, Shahriar, Rahman, Md. Ashfikur, Bulbul, Abdullah Al-Mamun and Awal, Md. Abdul (2021). GWO-XGB: Grey Wolf Optimization-based eXtreme Gradient Boosting for hypertension prediction in Bangladesh. 2021 International Conference on Electronics, Communications and Information Technology (ICECIT), Khulna, Bangladesh, 14-16 September 2021. Piscataway, NJ USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/icecit54077.2021.9641256

GWO-XGB: Grey Wolf Optimization-based eXtreme Gradient Boosting for hypertension prediction in Bangladesh

2021

Journal Article

Associating measles vaccine uptake classification and its underlying factors using an ensemble of machine learning models

Hasan, Md. Kamrul, Jawad, Md. Tasnim, Dutta, Aishwariya, Awal, Md. Abdul, Islam, Md. Akhtarul, Masud, Mehedi and Al-Amri, Jehad F. (2021). Associating measles vaccine uptake classification and its underlying factors using an ensemble of machine learning models. IEEE Access, 9 9524617, 119613-119628. doi: 10.1109/access.2021.3108551

Associating measles vaccine uptake classification and its underlying factors using an ensemble of machine learning models

Funding

Current funding

  • 2025 - 2027
    Portable Electromagnetic Torso Scanner
    NHMRC IDEAS Grants
    Open grant
  • 2024 - 2025
    Supporting skin cancer diagnosis through explainable AI using microwave signal
    Research Donation Generic
    Open grant

Supervision

Availability

Dr Md Abdul Awal is:
Available for supervision

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Media

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