Prashanth Thattai Ravikumar

Prashanth Thattai Ravikumar is a Lecturer in the Computing Department at Goldsmiths, University of London. His research focuses on enhancing human-AI co-creativity through generative audio and music systems, with applications in VR, gaming, and EdTech. He leads courses in MOOCs, Digital Signal Processing (DSP), and computer graphics.

Education: PhD in Human-AI Co-creativity (National University of Singapore, 2020); MA in Communications and New Media (NUS, 2014); BTech in Computer Science and Engineering (National Institute of Technology, Trichy, 2012).

Research interests include developing efficient software for generative audio, real-time music creation, and deep neural networks. His work emphasizes human-AI collaboration to produce novel creative experiences. Key projects include Harmonaise (algorithmic music generation from gestures) and Syntex (audio texture datasets for neural networks).

Recent work trends focus on parametric audio systems, AI-driven music interfaces, and scalable audio datasets. His 2022 Arts X Tech Grant supported a pioneering music technology project in Singapore.

• Awards: Arts X Tech Grant (2022)
• Grants: $30k National Arts Council award for music tech innovation

Lab/Team affiliations include projects like COVID-Life (cellular automaton game) and Rhythm Partner Study, exploring interactive AI-driven music systems.