NH & MRC Research Fellow (Level B). Appointment across Transport, Health and Urban Design Lab (THUD) and AI, Optimization and Pattern Recognition Group.
Our mission at Solstice AI is to enable effective integration of renewables into electricity grids. We do research and implementation on identifying rooftop solar PV systems and forecasting solar generation in regions. As a Co-Founder and Head of Research, I am involved in establishing our business and conducting research to achieve our mission.
I have tutored the following subjects:
ENGR30004 Numerical Algorithms in
Engineering, Semester 2, 2022 (Co-head Tutor)
MCEN90048 AI for Engineers, (Semester 1, 2022)
ENGR30004 Numerical Algorithms in
Engineering, Semester 2, 2021 (Co-head Tutor)
COMP10003 Media Computation, (Semester 1, 2021)
SWEN30006 Software Modelling and Design, (Semester 1, 2021)
MCEN90048 AI for Engineers, (Semester 1, 2021)
Research on hierarchical time series forecasting with machine learning methods.
Research and implementation on time series forecasting methods for energy applications.
Engaged in frontend development, devops engineering tasks and API development.
Worked on refactoring existing web based solutions in C++.
Thesis Title: Accurate Forecasting of Distributed Solar Generation using Time Series and Deep Learning Methods
Supervised by:
Prof. Saman Halgamuge
Dr. Julian De
Hoog
Dr. Kasun Bandara
GPA - 3.87 / 4.00 - First Class
Thesis Topic - Refinement Of Existing Road Vector Layers Through
High Resolution Satellite Images.
Second highest GPA in the graduating batch of 2018 and the recipient of the ICTA award for the best final year computer science research.
I received the Google AI TensorFlow Faculty Award (8000 USD) for my proposal to develop a workshop series on "Fairness in Machine Learning (ML)" that can be integrated into existing ML/ Artificial Intelligence (AI) courses at the University of Melbourne.
I was selected as a Hopper Down Under student scholar and was awarded a scholarship to attend the Grace Hopper Down Under Conference for women in STEM.
Melbourne graduate research scholarship is awarded for PhD students and Masters by research students based on their academic merit. I received the Melbourne graduate research scholarship to pursue my PhD at the University of Melbourne.
GPA - 3.87 / 4.00
I received this award for my final year research in Bachelor of Science (Honours) in Computer Science degree.
Maneesha, Perera, Julian De Hoog, Kasun Bandara, Saman Halgamuge. "Multi-resolution, multi-horizon distributed solar PV power forecasting with forecast combinations". Expert Systems with Applications, 2022. PDF
Julian De Hoog, Maneesha, Perera, Peter Ilfrich, Saman Halgamuge. "Characteristic Profile: Improved Solar Power Forecasting Using Seasonality Models". Energy Informatics Review, 2021. PDF
Julian De Hoog, Maneesha, Perera,Kasun Bandara, Damith Senanayake, Saman Halgamuge. "Solar PV Maps for Estimation and Forecasting of Distributed Solar Generation". ICML 2021 Workshop - Tackling Climate Change with Machine Learning, 2021. PDF
Maneesha, Perera, Julian De Hoog, Kasun Bandara, Saman Halgamuge. "Forecast Combinations for Multi-Horizon Residential Solar Photovoltaic Power Forecasting". 40th International Symposium in Forecasting (ISF), 2020. PDF
Fatemeh Jalali, Subhrajit Roy, Ramachandra Rao Kolluri, Maneesha Perera, Mahsa Salehi, John D. Vasquez, Julian de Hoog. "Hybrid Edge-Cloud based Ensemble Learning for Forecasting Occupancy of Open-plan Offices. The 3rd International Workshop on Artificial Intelligence of Things (In conjunction with the 26th ACM SIGKDD), 2020. PDF
Maneesha, Perera, Damith Karunaratne, Enosha Hettiarachchi. “Using Bezier Curves to Refine Road Vector Data Through Satellite Images”. In: Proceedings of the 2018 the 2nd International Conference on Video and Image Processing. ICVIP 2018. Hong Kong: ACM, pp. 192–197. PDF
Research Assistant,
Department of Data Science and Artificial Intelligence, Faculty of Information Technology, Monash University
Conducted research and implementation on machine learning methods to forecast hierarchical time series.
Technologies: Python (Tensorflow, scikit-learn, pandas), R | Git
Research Intern, IBM
Research, Australia
Implemented forecasting models to forecast the energy generation from different energy
sources.
Technologies: Python (scikit-learn, fbprophet, sktime, pandas, plotly) | Git
Research Intern, IBM
Research, Australia
Conducted research on data-driven approaches to improve residential solar photovoltaic (PV)
power generation forecasts.
Technologies: Python (scikit-learn, fbprophet, sktime, pmdarima, pandas, plotly) | Git |high
performance computing
Research Intern, IBM
Research, Australia
Conducted research on building occupancy detection and forecasting using motion sensor
data.
Technologies: Python (scikit-learn, tensorflow, pandas, plotly) | Git |high performance
computing
Faculty of Engineering and IT, University of Melbourne
Faculty of Engineering and IT, University of Melbourne
Faculty of Engineering and IT, University of Melbourne
Faculty of Engineering and IT, University of Melbourne
Faculty of Engineering and IT, University of Melbourne
Melbourne Center for the Study of Higher Education
I was the Vice-Chair and acting Chair of IEEE WIE VIC section for the term 2022/2023. In my role, I led the WIE Victorian section executive committee in organising activities that can empower and promote early career female engineers and scientists. During my term, we organised the IEEE Women in Engineering International Leadership Summit in Melbourne.
I was a committee member of the IEEE WIE Victoria Section. My role as an activity organiser was to help and plan events organised by the IEEE WIE VIC section.
I was involved on organizing leadership development activities for members and managing the talent pipeline of the organization.
NATCON was a national conference organized by AIESEC in Sri Lanka with the objective of providing a platform for young individuals to develop their leadership skills.
Project MDG 2.0 was a community development project carried out to create awareness about UN's millennium development goals in Sri Lanka.
TAC was a corporate forum organized by AIESEC in University of Colombo with the objective of creating awareness of the importance of carrying out CSR projects in the corporate sector.
IEEE Student Branch - University of Colombo School of Computing, Sri Lanka.
Visakha Vidyalaya, Colombo, Sri Lanka.
I live in Melbourne, Australia with my husband Dr. Danula
Hettiachchi who is a Research Fellow at the ARC Centre of Excellence
for Automated Decision-Making and Society (ADM+S) and the School of Computing Technologies at
RMIT University.
During my free time I enjoy running, hiking, cycling and exploring good food options.