Purnima is a PhD Researcher with the Department of Communications and New Media at the National University of Singapore (NUS), being advised by Dr Lonce Wyse, Dr Suranga Nanayakkara and Dr Kokil Jaidka. Her research interests are at the intersection of deep learning for audio and human-computer interaction. She is also interested in exploring algorithmic computational creativity using deep neural networks and genetic algorithms.
Before NUS, she worked in the industry as a full-stack software engineer for ~15 years in various roles. She helped build and architect solutions for various financial institutions, such as Credit Suisse, Lehman Brothers, and Morgan Stanley, and consulting organizations, such as Capgemini and Oliver Wyman.
She believes that we all need to do more to improve gender diversity in tech. She co-founded the Women Who Code network in Singapore in 2016 and led the network in the city as a Director until 2020. She was also involved in building developer communities as a DevRel advocate for YOW! Conferences in the city until August 2020. She also previously volunteered for tech-for-good organizations such as Techladies, Engineers.SG and DataKind.SG and is constantly looking for opportunities to give back to the community.
Towards Controllable Audio Texture Morphing
Gupta C*., Kamath P*., Wei. Y., Li, Z., Nanayakkara S.C., Wyse L. 2023. Towards Controllable Audio Texture Morphing. In 48th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '23), 4-10 June, 2023, Rhodes Island, Greece.
Evaluating Descriptive Quality of AI-Generated Audio Using Image-Schemas
Kamath, P., Li, Z., Gupta, C., Jaidka, K., Nanayakkara, S.C. and Wyse, L. 2023. Evaluating Descriptive Quality of AI Generated Audio Using Image-Schemas. In 28th International Conference on Intelligent User Interfaces (IUI ’23), March 27–31, 2023, Sydney, NSW, Australia.