The University of Queensland

EEG based sleep-wake classification using JOPS algorithm

Bulbul, Abdullah Al-Mamun, Abdul Awal, Md. and Debjit, Kumar (2020). EEG based sleep-wake classification using JOPS algorithm. Brain Informatics. (pp. 361-371) Cham, Switzerland: Springer. doi: 10.1007/978-3-030-59277-6_33

Advanced time-frequency signal and system analysis

Boashash B., Touati S., Flandrin P., Hlawatsch F., Taubock G., Oliveira P.M., Barroso V., Baraniuk R., Jones G., Matz G., Hlawatsch F., Alieva T., Bastiaans M.J., Galleani L., Boudraa A.-O., Salzenstein F., Akan A., Awal, A. and Dong, S. (2015). Advanced time-frequency signal and system analysis. Time-Frequency Signal Analysis and Processing: A Comprehensive Reference. (pp. 141-236) Kidlington, Oxford, United Kingdom: Elsevier Inc.. doi: 10.1016/B978-0-12-398499-9.00004-2

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, PP (99), 1-12. doi: 10.1109/jerm.2024.3374090

A comprehensive bioinformatics approach to identify molecular signatures and key pathways for the Huntington disease

Meem, Tahera Mahnaz, Khan, Umama, Mredul, Md Bazlur Rahman, Awal, Md Abdul, Rahman, Md Habibur and Khan, Md Salauddin (2023). A comprehensive bioinformatics approach to identify molecular signatures and key pathways for the Huntington disease. Bioinformatics and Biology Insights, 17. doi: 10.1177/11779322231210098

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) ARTN 3960, 3960. doi: 10.3390/math11183960

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

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

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. doi: 10.3390/bioengineering9070281

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

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

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

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

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

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

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

PreDTIs: Prediction of drug-Target interactions based on multiple feature information using gradient boosting framework with data balancing and feature selection techniques

Mahmud, S. M. Hasan, Chen, Wenyu, Liu, Yongsheng, Awal, Md Abdul, Ahmed, Kawsar, Rahman, Md Habibur and Moni, Mohammad Ali (2021). PreDTIs: Prediction of drug-Target interactions based on multiple feature information using gradient boosting framework with data balancing and feature selection techniques. Briefings in Bioinformatics, 22 (5) bbab046. doi: 10.1093/bib/bbab046

Design and optimization of ECG modeling for generating different cardiac dysrhythmias

Awal, Md. Abdul, Mostafa, Sheikh Shanawaz, Ahmad, Mohiuddin, Alahe, Mohammad Ashik, Rashid, Mohd Abdur, Kouzani, Abbas Z. and Mahmud, M. A. Parvez (2021). Design and optimization of ECG modeling for generating different cardiac dysrhythmias. Sensors, 21 (5) 1638, 1-27. doi: 10.3390/s21051638

A novel Bayesian optimization-based machine learning framework for COVID-19 detection from inpatient facility data

Awal, Md. Abdul, Masud, Mehedi, Hossain, Md. Shahadat, Bulbul, Abdullah Al-Mamun, Mahmud, S. M. Hasan and Bairagi, Anupam Kumar (2021). A novel Bayesian optimization-based machine learning framework for COVID-19 detection from inpatient facility data. IEEE Access, 9 9319642, 10263-10281. doi: 10.1109/access.2021.3050852

An early detection of asthma using BOMLA detector

Awal, Md. Abdul, Hossain, Md. Shahadat, Debjit, Kumar, Ahmed, Nafiz, Nath, Rajan Dev, Habib, G. M. Monsur, Khan, Md. Salauddin, Islam, Md. Akhtarul and Mahmud, M. A. Parvez (2021). An early detection of asthma using BOMLA detector. IEEE Access, 9 9402730, 58403-58420. doi: 10.1109/access.2021.3073086

Network-based computational approach to identify delineating common cell pathways influencing type 2 diabetes and diseases of bone and joints

Moni, Mohammad Ali, Islam, M. Babul, Rahman, Md Rezanur, Rashed-Al-Mahfuz, Md, Awal, Md Abdul, Islam, Sheikh Mohammed Shariful, Mollah, Md. Nurul Haque and Quinn, Julian M. W. (2020). Network-based computational approach to identify delineating common cell pathways influencing type 2 diabetes and diseases of bone and joints. IEEE Access, 8 8941110, 1486-1497. doi: 10.1109/ACCESS.2019.2962091

Design of sEMG-based clench force estimator in FPGA using artificial neural networks

Mostafa, Sheikh Shanawaz, Awal, Md. Abdul, Ahmad, Mohiuddin and Morgado-Dias, Fernando (2018). Design of sEMG-based clench force estimator in FPGA using artificial neural networks. Neural Computing and Applications, 32 (20), 1-11. doi: 10.1007/s00521-018-3600-4

A robust high-resolution time-frequency representation based on the local optimization of the short-time fractional Fourier transform

Awal, Md. Abdul, Ouelha, Samir, Dong, Shiying and Boashash, Boualem (2017). A robust high-resolution time-frequency representation based on the local optimization of the short-time fractional Fourier transform. Digital Signal Processing, 70, 125-144. doi: 10.1016/j.dsp.2017.07.022

An automatic fast optimization of Quadratic Time-frequency Distribution using the hybrid genetic algorithm

Awal, Md. Abdul and Boashash, Boualem (2017). An automatic fast optimization of Quadratic Time-frequency Distribution using the hybrid genetic algorithm. Signal Processing, 131, 134-142. doi: 10.1016/j.sigpro.2016.08.017

Voiceless Bangla vowel recognition using sEMG signal

Mostafa, S. S., Awal, M. A., Ahmad, M. and Rashid, M. A. (2016). Voiceless Bangla vowel recognition using sEMG signal. SpringerPlus, 5 (1) 1522, 1522. doi: 10.1186/s40064-016-3170-9

EEG background features that predict outcome in term neonates with hypoxic ischaemic encephalopathy: a structured review

Awal, Md. Abdul, Lai, Melissa M., Azemi, Ghasem, Boashash, Boualem and Colditz, Paul B. (2015). EEG background features that predict outcome in term neonates with hypoxic ischaemic encephalopathy: a structured review. Clinical Neurophysiology, 127 (1), 285-296. doi: 10.1016/j.clinph.2015.05.018

Design and simulation of a trans-impedance-based instrumental circuit for weevil repelling

Awal, M. A. and Ahsan, A. N.M. (2023). Design and simulation of a trans-impedance-based instrumental circuit for weevil repelling. International Conference on 4th Industrial Revolution and Beyond, IC4IR 2021, Dhaka, Bangladesh, 10-11 December 2021. Gateway East, Singapore: Springer Singapore. doi: 10.1007/978-981-19-8032-9_17

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

Hermetic storage technology to reduce postharvest loss of paddy: farmers to commercial scale

Alam, Md Monjurul, Ali, Md Rostom, Gope, Shibendra Narayan, Abdul Awal, Md and Winter-Nelson, Alex E. (2022). Hermetic storage technology to reduce postharvest loss of paddy: farmers to commercial scale. 2022 ASABE Annual International Meeting, Houston, Texas, 17–20 July 2022. St. Joseph, MI, United States: American Society of Agricultural and Biological Engineers. doi: 10.13031/aim.202200252

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

COVID-19 fake news detection on social media

Mumenin, Khondoker Mirazul, Reza, Khondker Jahid, Shathi, Swarna Saha, Akter, Humayra, Raihan, M., Hassan, Md Mehedi, Rahman, Shagoto and Abdul Awal, Md (2021). COVID-19 fake news detection on social media. 2021 International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering (IC4ME2), Rajshahi, Bangladesh, 26-27 December 2021. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/IC4ME253898.2021.9768523

Deep bidirectional LSTM network learning-aided OFDMA downlink and SC-FDMA uplink

Kadir, Rafiul, Saha, Ritu, Abdul Awal, Md. and Kadir, Mohammad Ismat (2021). Deep bidirectional LSTM network learning-aided OFDMA downlink and SC-FDMA uplink. International Conference on Electronics, Communications and Information Technology (ICECIT), Khulna, Bangladesh, 14-16 September 2021. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICECIT54077.2021.9641123

Influential causes that affect largely for the survival of a patient with heart-failure: a machine learning perspective

Talin, Iffat Ara, Abid, Mahmudul Hasan, Abdul Awal, Md and Nahid, Abdullah-Al (2021). Influential causes that affect largely for the survival of a patient with heart-failure: a machine learning perspective. International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering (IC4ME2), Rajshahi, Bangladesh, 26-27 December 2021. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/IC4ME253898.2021.9768462

OLGBM: Optuna optimized light gradient boosting machine for intrusion detection

Arifin, Md Mashrur, Based, Md Abdul, Mumenin, Khondoker Mirazul, Imran, Ali, Azim, Mohammad Abdul, Alom, Zulfikar and Abdul Awal, Md (2021). OLGBM: Optuna optimized light gradient boosting machine for intrusion detection. International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering (IC4ME2), Rajshahi, Bangladesh, 26-27 December 2021. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/IC4ME253898.2021.9768555

Understanding world happiness using machine learning techniques

Ibnat, Fabiha, Gyalmo, Jigmey, Alom, Zulfikar, Abdul Awal, Md and Azim, Mohammad Abdul (2021). Understanding world happiness using machine learning techniques. International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering (IC4ME2), Rajshahi, Bangladesh, 26-27 December 2021. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/IC4ME253898.2021.9768407

Robust control of hand prostheses from surface EMG signal for transradial amputees

Nastarin, Anika, Akter, Ashrina and Awal, Md. Abdul (2019). Robust control of hand prostheses from surface EMG signal for transradial amputees. 2019 5th International Conference on Advances in Electrical Engineering, ICAEE 2019, Dhaka, Bangladesh, 26-28 September 2019. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICAEE48663.2019.8975630

A method for designing EMG integrator using an FPGA

Mostafa, Sheikh Shanawaz, Awal, Md. Abdul, Ahmad, Mohiuddin and Morgado-Dias, Fernando (2017). A method for designing EMG integrator using an FPGA. 5th IEEE International Work Conference on Bio-Inspired Intelligence, IWOBI 2017, Funchal, Portugal, 10-12 July 2017. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers . doi: 10.1109/IWOBI.2017.7985523

Detection of neonatal eeg burst-suppression using a time-frequency approach

Awal, Md. Abdul, Colditz, Paul B., Boashash, Boualem and Azemi, Ghasem (2014). Detection of neonatal eeg burst-suppression using a time-frequency approach. 8th International Conference on Signal Processing and Communication Systems, (ICSPCS), Gold Coast, Australia, 15-17 December 2014. Piscataway, NJ, United States: IEEE. doi: 10.1109/ICSPCS.2014.7021073

Design and optimisation of time-frequency analysis for multichannel neonatal EEG background features in term neonates with hypoxic ischaemic encephalopathy: characterisation, classification and neurodevelopmental outcome prediction

Awal, Md. Abdul (2018). Design and optimisation of time-frequency analysis for multichannel neonatal EEG background features in term neonates with hypoxic ischaemic encephalopathy: characterisation, classification and neurodevelopmental outcome prediction. PhD Thesis, Faculty of Medicine, The University of Queensland. doi: 10.14264/uql.2018.225