Data-driven Character Animation
(Updated August 2022)
My research addresses the core challenges of designing new techniques to create and control interactive virtual characters. I am working towards developing deep learning models enabling characters to exhibit appropriate behaviors in social interaction settings involving small groups, including adaptation to the style and manner of the interlocutor to support the smoothness of interaction and 'social bonding'. I am affiliated with Embodied Social Agents Lab and supervised by Christopher Peters and Jonas Beskow . I am funded by the EU MSCA ITN CLIPE project .
🚩 [NEW]: Ph.D. intern with MPI Perceiving Systems, Tübingen ( September 2022 - )
🚩 Accepted paper in Springer Nature LNCS (LOD 2022): Parallel Bayesian Optimization of Agent-based Transportation Simulation
🚩 Visiting Ph.D. intern "Speech-driven gesture generation" with Ubisoft La Forge, Bordeaux (March - June 2022)
🚩 Co-presented at Summer School on Virtual Humans, Cyprus: Modeling Groups of Conversational Agents" and "Tools for Virtual Crowds and Characters
🚩Discussion panel in TEDxKTH Salon: AI – what should we focus on?
🚩Medium blog on "Representation learning — The core of machine learning"
🚩Delivered EU Report on Social Group Formation in Virtual Environments in collaboration with University College London and Trinity College Dublin. (coming soon)
🚩Talk given on Contrastive Learning for Visual Representations
🚩Talk given on Data Driven Motion Generation
I have previously worked with Lawrence Berkeley National Lab (USA), IBM Research (Germany), Dassault Systemes (Germany and India), APS - European Center for Mechatronics GmbH (Germany), Qatar University, Tata Steel (India), Autocop India, and Alfa Laval (India) on various projects.