Dr Mona Bahri
Lecturer
School of Information and Physical Sciences (Mathematics)
Career Summary
Qualifications
- DOCTOR OF PHILOSOPHY, University of New South Wales
Keywords
- Applied Mathematics
- Time Series Analysis
Professional Experience
UON Appointment
| Title | Organisation / Department |
|---|---|
| Lecturer | University of Newcastle School of Information and Physical Sciences Australia |
Publications
For publications that are currently unpublished or in-press, details are shown in italics.
Journal article (1 outputs)
| Year | Citation | Altmetrics | Link | |||||
|---|---|---|---|---|---|---|---|---|
| 2019 |
Bahri FMZ, Sharples JJ, 'Sensitivity of the Empirical Mode Decomposition to Interpolation Methodology and Data Non-stationarity', ENVIRONMENTAL MODELING & ASSESSMENT, 24 437-456 (2019) [C1]
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Conference (6 outputs)
| Year | Citation | Altmetrics | Link | |||||
|---|---|---|---|---|---|---|---|---|
| 2023 |
Bahri M, Vahidnia S, Ghignone L, 'Wind-speed Forecasting based on Smoothing Ensemble Empirical Mode Decomposition and LSTM', 2023 International Conference on Power and Renewable Energy Engineering, PREE 2023 (2023) One of the main challenges in power generation in wind farms is to forecast wind accurately. This is due to the non-stationary and non-linearity characteristics of wind data. Thes... [more] One of the main challenges in power generation in wind farms is to forecast wind accurately. This is due to the non-stationary and non-linearity characteristics of wind data. These characteristics make it difficult for the normal statistical methods and the common statistical and computational intelligence methods to provide adequate predictions for wind speed. Empirical Mode Decomposition (EMD) is designed to de-compose non-stationary and non-linear data into their embedded components. In this study, we used a hybrid method composed of an improved variation of EMD, Smoothing Ensemble Empirical Mode Decomposition (SEEMD), and long-short-term memory neural networks (LSTM) to predict wind data. The results of this show that the proposed method provides better forecasting compared to the existing ones.
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| 2022 |
Bahri MZ, Vahidnia S, 'Time Series Forecasting Using Smoothing Ensemble Empirical Mode Decomposition and Machine Learning Techniques', International Conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME 2022, Maldives (2022) [E1]
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| 2018 |
Sharples JJ, Bahri MFZ, Huntley S, 'A universal rate of spread index for Australian fuel types', ADVANCES IN FOREST FIRE RESEARCH 2018, Coimbra, PORTUGAL (2018)
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| 2017 |
Ziaeyan Bahri FM, Sharples JJ, 'Empirical Mode Decomposition and the two-tone separation problem in the presence of noise', Proceedings - 22nd International Congress on Modelling and Simulation, MODSIM 2017, Tasmania, Australia (2017) [E1]
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| Show 3 more conferences | ||||||||
Grants and Funding
Summary
| Number of grants | 3 |
|---|---|
| Total funding | $31,423 |
Click on a grant title below to expand the full details for that specific grant.
20221 grants / $19,123
Feedback Fellowship$19,123
Funding body: The University of New South Wales
| Funding body | The University of New South Wales |
|---|---|
| Project Team | Mona Bahri |
| Scheme | Education Focused Fellowship |
| Role | Lead |
| Funding Start | 2022 |
| Funding Finish | 2022 |
| GNo | |
| Type Of Funding | Internal |
| Category | INTE |
| UON | N |
20211 grants / $2,300
Alumni Mobility Program$2,300
Funding body: Institute Für Auslandsbeziehungen (IFA)
| Funding body | Institute Für Auslandsbeziehungen (IFA) |
|---|---|
| Project Team | Mona Bahri |
| Scheme | Alumni Mobility Program |
| Role | Lead |
| Funding Start | 2021 |
| Funding Finish | 2021 |
| GNo | |
| Type Of Funding | C3500 – International Not-for profit |
| Category | 3500 |
| UON | N |
20191 grants / $10,000
Career Development Fund$10,000
Funding body: The University of New South Wales
| Funding body | The University of New South Wales |
|---|---|
| Project Team | Mona Bahri |
| Scheme | Career Planning and Management |
| Role | Lead |
| Funding Start | 2019 |
| Funding Finish | 2021 |
| GNo | |
| Type Of Funding | Internal |
| Category | INTE |
| UON | N |
Dr Mona Bahri
Position
Lecturer
School of Information and Physical Sciences
College of Engineering, Science and Environment
Focus area
Mathematics
Contact Details
| mona.bahri@newcastle.edu.au |