معرفی
Md Abdul Awal is a Postdoctoral Research Fellow at the School of Electrical Engineering and Computer Science, The University of Queensland. He holds a PhD in Biomedical Engineering from the same university (2018), specializing in neonatal EEG analysis and neurodevelopmental outcome prediction. His research integrates signal processing, machine learning, and biomedical engineering to address challenges in healthcare diagnostics, including liver disease detection, pest control through ultrasound, and predictive modeling for diabetes, hypertension, and ICU admissions.
Research Interests:
- Designing algorithms for biomedical signal analysis (EEG, ECG, microwave spectroscopy)
- Machine learning applications in healthcare predictive modeling
- Optimization techniques for feature selection and model accuracy
- IoT-based healthcare systems and telemedicine platforms
Recent Work Trends: Over 2022–2025, his publications focus on:
- Non-invasive medical diagnostics using microwave and ultrasound technologies
- Hybrid machine learning frameworks for disease prediction (e.g., HGSOXGB, HGSORF)
- Quantum computing applications in neuroinformatics
- Smart agriculture through acoustic pest repulsion systems
Grants & Advising: While specific grants aren't listed, his work demonstrates collaboration with institutions like UQ's Faculty of Medicine and industry partners in healthcare technology. Active in mentoring postgraduate researchers through collaborative projects.
Labs & Teams: Affiliated with UQ's biomedical engineering and signal processing research groups, contributing to cross-disciplinary teams in health informatics and medical device development.
