Dr. Maneesha Perera holds a B.Sc (Honours) in Computer Science from the University of Colombo School of Computing, Sri Lanka, and a PhD in Engineering from the University of Melbourne, Australia. In her PhD, she focused on accurately forecasting solar power generation from distributed solar photovoltaic systems using novel time series and deep learning-based methods. During her PhD, she worked as a research intern at IBM Research Australia for over two years, working and collaborating on industry projects in the energy sector. Currently, she is a Research Fellow in the Transport, Health, and Urban Design research group and the AI, Optimization, and Pattern Recognition group at the University of Melbourne. Her research primarily revolves around time series data, forecasting, and deep learning techniques, with a specific focus on the energy and transportation domains. In her current work, she focuses on extracting meaningful insights from large-scale time series data in the transportation domain and works closely with transportation departments in Australia. Her interests also lie in ethical and fairness concerns in Artificial Intelligence (AI), particularly towards vulnerable and underrepresented communities, where she’s currently working on understanding the impact of AI on Indigenous peoples around the world. She is also a co-founder of an Australian start-up in the energy sector, working towards AI-based solutions that facilitate the effective integration of renewables into the future electricity grid.