In this presentation Dr Jinglan Zhang will share how environmental monitoring is becoming critical as human activity and climate change place greater pressures on biodiversity, leading to an increasing need for data to make informed decisions. Acoustic sensors can help collect data across large areas for extended periods making them attractive in environmental monitoring. However, analysing large volumes of environmental acoustic data is a great challenge and is consequently hindering the effective utilization of the big dataset collected. This talk presents an overview of our current challenges and techniques for analysing large volumes of acoustic data.
About the presenter
Dr Jinglan Zhang is a senior lecturer in Queensland University of Technology. She received her PhD in Information Technology in 2003 from Queensland University of Technology. Dr. Jinglan Zhang’s broad research area falls in Artificial Intelligence and Information Systems. In particular, her research interests include Visual and Acoustic Information (Graphics, Images, and Sound) Processing and Retrieval, Big data analysis and visualization, Computer Human Interaction, eScience, software engineerig, and mobile and web applications. She has published more than 100 refereed papers and jointly received over $1M in research funding. She has successfully supervised (as principal and associate supervisor) 10 PhD students and 2 Masters by Research students to completion. Dr. Zhang has worked as an Engineer in Computer Aided Design and Computer Aided Engineering (CAD/CAE) for 8 years and a researcher in Information Technology for more than 15 years. Dr. Zhang is an accredited supervisor for PhD students. She is also a member of QUT’s college of mentoring supervisors.
Event recording:
Resources:
Details:
| Start Date: | 25/11/2020 [add to calendar] |
| Start Time: | 1pm (AEST) |
| End Date: | 25/11/2020 |
| End Time: | 2pm (AEST) |