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 |
17398
total views of outputs3850
total downloads of outputs599
views of outputs this month92
downloads of outputs this month
Biography
Dr. Mumtaz Ali is a leading AI and cross-disciplinary researcher in Knowledge & Data Engineering, Deep Learning, Machine Learning, and Decision Support Systems. Dr. Ali’s research focuses 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 competitive fellowships including Postdoctoral Research Fellowship in Data Science and Alfred Deakin Postdoctoral Research Fellow from Deakin University, Australia. Dr. Ali is also working 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, and IEEE. Dr. Ali supervises a large team of highly qualified personnel working on various aspects of research and development. Dr. Ali has authored/co-authored over 90 peer-reviewed journal articles, 8 book chapters, and 11 conference proceedings. Dr. Ali has garnered over $7 M in research funding from various sources and industry partners and agencies in Australia and Canada. Dr. Ali 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.
Employment
Position | Organisation | From | To |
---|---|---|---|
Lecturer | University of Southern Queensland, Australia | 2022 | |
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 |
Artificial Intelligence and Copula-Probabilistic Models for Early Flood Warning and Community Risk Management: Case Studies 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 |