Kiran Chhatre
DOCTORAL STUDENT
Details
Researcher
About me
Data-driven Character Animation
(Updated February 2023)
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 .
I have completed a master's from RWTH Aachen University, Germany , and a bachelor's from the College of Engineering, Pune India .
News
🚩 [NEW]: Incoming Ph.D. intern with Trinity College Dublin ( May 2023 - )
🚩 [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
🚩Extended abstract at IEEE ICDL StEPP 2021 workshop: "Spatio-temporal priors in 3D human motion"
🚩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)
🚩Podcast with KTH AI Society on research in Natural Language Processing
🚩Talk given on Contrastive Learning for Visual Representations
🚩Talk given on Data Driven Motion Generation
Academic Service
Teaching Assistant:
DH2323, DD2380, DD2421, DD2437, DM1590
Reviewer for:
IVA 2021, AAMAS 2021, IEEE COG 2021, LOD 2022, AAMAS 2023
Experience
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), RoboCup Logistics League (Germany), Qatar University, Tata Steel (India), Autocop India, and Alfa Laval (India) on various projects.
Extracurricular
- KTH AI Society (Team Education) (February 2021 - December 2022)
- Swedish Red Cross Youth (June 2021 - December 2022)
- SULF Doctoral Candidate Association (January 2021 - August 2021)
- IAESTE Stockholm : Team Events (March 2021 - September 2021)
Courses
Artificial Neural Networks and Deep Architectures (DD2437), assistant | Course web
Computer Graphics and Interaction (DH2323), assistant | Course web