Dr Mumtaz Ali
Name | Dr Mumtaz Ali |
---|---|
Email Address | mumtaz.ali@unisq.edu.au |
Job Title | Lecturer (Pathways) |
Qualifications | PhD USQ |
Department | UniSQ College (Pathways) |
Affiliations | UniSQ College |
Centre for Sustainable Agricultural Systems | |
Centre for Applied Climate Sciences | |
ORCID | https://orcid.org/0000-0002-6975-5159 |
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Biography
Dr Mumtaz Ali is a leading AI and cross-disciplinary researcher in Knowledge & Data Engineering, Deep Learning, Machine Learning, Quantum Machine Learning, AI, Fuzzy, and Decision Support Systems. PhD in Applied Mathematics (Data Science) with the Award of Excellence in Doctoral Research, MPhil & MSc in Mathematics, BSc in Computer Science & Mathematics, Dr Ali’s research has a focus on environmental and climate change, agriculture, and renewable energy domains. Dr Ali has received Excellence in Research, University & School Student Publication Awards. Dr Ali has received PhD degree from University of Southern Queensland, Australia, Master of Philosophy and Master of Science from Quaid-i-Azam University, Islamabad, Pakistan and Bachelor of Science from University of Peshawar, Pakistan. Dr Ali has received competitive fellowships including Postdoctoral Research Fellowship in Data Science and Alfred Deakin Postdoctoral Research Fellow from Deakin University, Australia. Recently, Dr Ali has been appointed as an Adjunct Professor at the School of Climate Change and Adaptation, Canadian Centre for Climate Change and Adaptation, University of Prince Edward Island, Canada. Dr Ali has been an invited expert on Editorial Boards for Elsevier, Springer, IEEE and IGI. He has supervised more than 12 HDR students and has graduated 8 Master students/research thesis, three of whom received Distinctions, and Excellence in Master’s Research. Dr Ali worked in projects receiving funding (~A$800000) from different sources and industry partners in Australia. He has been recognized in the list of the world's top 2% scientists for the years 2019, 2020, 2021 and 2022 by Stanford University, USA. He has achieved over 90 research publications co-authored with national and international scientists. His publications are cited ~5600 times, h-index 43 and Field-Weighted Citation Index 3.54 placing him among top cited researchers globally.
Employment
Position | Organisation | From | To |
---|---|---|---|
Lecturer | University of Southern Queensland, Australia | 2022 | 2023 |
Postdoctoral Research Fellow in Data Science | Deakin University, VIC, Australia | 2019 | 2022 |
Alfred Deakin Postdoctoral Research Fellow in Data Science | Deakin University, VIC, Australia | 2022 | 2022 |
Expertise
1. Artificial Intelligence
Machine learning & Deep learning
Quantum Machine Learning
Big data analytics
Climate change adaptation
Renewable and sustainable energy
2. Statistical Learning
Copula models
Bayesian inference
3. Decision Support Systems
Blockchain Technologies
Recommender systems
Fuzzy systems
Fields of Research
- 410103. Human impacts of climate change and human adaptation
- 410199. Climate change impacts and adaptation not elsewhere classified
- 410402. Environmental assessment and monitoring
- 410406. Natural resource management
- 410499. Environmental management not elsewhere classified
- 461103. Deep learning
- 461104. Neural networks
- 461105. Reinforcement learning
- 461106. Semi- and unsupervised learning
- 461199. Machine learning not elsewhere classified
Professional Membership
Professional Membership | Year |
---|---|
Australian Data Science Network |
Current Supervisions
Research Title | Supervisor Type | Level of Study | Commenced |
---|---|---|---|
Modelling and Predicting Australian Coastal Erosion: Designing Smart AI-derived Deep Learning models | Principal Supervisor | Doctoral | 2024 |
Machine learning in predictive maintenance with IoT sensors data towards Intelligent Systems in Aviation 4.0 Industry | Associate Supervisor | Doctoral | 2024 |
Automating Australia's Container Parking System to Expand Terminal Capacity | Associate Supervisor | Masters | 2024 |
Explainable-AI driven deep learning modelling of climate change characteristics | Principal Supervisor | Masters | 2023 |
Predicting erythemally-effective solar ultraviolet irradiation under attenuation factors and cloudy variation using explainable AI (XAI) and physical modelling method | Associate Supervisor | Doctoral | 2022 |
Designing Artificial Intelligence-based Probabilistic Methods for Early Flood Warning System for Community Risk Management in Fiji Islands. | Associate Supervisor | Masters | 2022 |
Item reviewed | Year |
---|---|
Applied Energy | |
Air Quality, Atmosphere and Health | |
Applied Intelligence | |
Applied soft computing | |
Atmosphere | |
Climate Dynamics | |
Cognitive Computation | |
Complex & intelligent systems | |
Computational & Applied Mathematics | |
Earth science informatics | |
Energy | |
Fuzzy information and engineering | |
Hydrological sciences journal | |
IEEE access | |
IEEE transactions on energy conversion | |
IEEE transactions on systems, man, and cybernetics | |
International journal of ambient energy | |
International journal of data warehousing and mining | |
International journal of fuzzy systems | |
Journal of Ambient Intelligence and Humanized Computing | |
Journal of experimental & theoretical artificial intelligence | |
Journal of hydrology | |
Natural Hazards | |
Computational and Applied Mathematics | |
Neural Computing and Applications | |
PLOS ONE | |
Renewable & sustainable energy reviews | |
Risk Management | |
Stochastic Environmental Research and Risk Assessment | |
Machine Learning with Applications | |
IEEE Transactions on Industrial Informatics | |
Information Sciences | |
Expert System with Applications | |
Environmental Software Modelling |