Education
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KTH Royal Institute of Technology, Stockholm, Sweden
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Ph.D. in Computer Science
Advisor: Christopher Peters
MSCA ITN CLIPE Fellow
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Jan 2021–Sep 2026
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RWTH Aachen University, Aachen, Germany
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M.Sc. in Mechanical Engineering
Advisor: Mikhail Itskov
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Sep 2017–Oct 2020
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COEP Technological University, Pune, India
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B.Tech. in Mechanical Engineering
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Jul 2010–May 2014
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Research Experience
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Meta, Sausalito, California, USA
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Research Scientist Intern
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Apr 2026–Sep 2026
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Sony Research, Kyoto, Japan / Remote
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Ph.D. Intern, Creative AI Lab
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Dec 2025–Mar 2026
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Ph.D. Intern, Sony Computer Science Laboratories
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Apr 2025–Jun 2025
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Adobe Research, London, UK / Bengaluru, India
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Research Scientist Intern, Graphics and 3D Imaging Research
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Jul 2025–Oct 2025
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Research Ph.D. Intern, Multimodal Content Group
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Apr 2024–Jul 2024
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Electronic Arts SEED, Stockholm, Sweden
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Ph.D. Intern
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Oct 2024–Mar 2025
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Max Planck Institute for Intelligent Systems, Tübingen, Germany
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Guest Scientist, Perceiving Systems
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Sep 2022–Dec 2024
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Ubisoft La Forge, Bordeaux, France
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Ph.D. Intern
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Mar 2022–Jun 2022
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IBM Research, Böblingen, Germany
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Machine Learning Intern
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Apr 2019–Sep 2019
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Dassault Systèmes SIMULIA, Aachen, Germany
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CAE Developer Intern
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Jul 2018–Mar 2019
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ITA Technologietransfer GmbH, Aachen, Germany
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Robotics Developer Intern
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Apr 2018–Mar 2019
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Professional Experience
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Lawrence Berkeley National Laboratory, Berkeley, California, USA
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Research Affiliate, Transportation Initiative / BEAM Team
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Nov 2019–Oct 2020
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Dassault Systèmes Solutions Lab, Pune, India
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CATIA Specialist
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Dec 2015–Aug 2017
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Autocop Telematics, Bengaluru, India
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Mechanical Design Engineer
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Jul 2014–Nov 2015
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Publications and Patents
Peer-Reviewed Conference Papers
- Kiran Chhatre, Christopher Peters, and Srikrishna Karanam. “Spectrum: Learning 3D Texture-Aware Representations for Parsing Diverse Human Clothing and Body Parts.” Proceedings of the Association for the Advancement of Artificial Intelligence, 2026.
- Rajmund Nagy, Hendric Voß, Thanh Hoang-Minh, Mihail Tsakov, Teodor Nikolov, Zeyi Zhang, Tenglong Ao, Sicheng Yang, Shaoli Huang, Yongkang Cheng, M. Hamza Mughal, Rishabh Dabral, Kiran Chhatre, Christian Theobalt, Libin Liu, Stefan Kopp, Rachel McDonnell, Michael Neff, Taras Kucherenko, Youngwoo Yoon, and Gustav Eje Henter. “Towards Reliable Human Evaluations in Gesture Generation: Insights from a Community-Driven State-of-the-Art Benchmark.” IEEE/CVF Conference on Computer Vision and Pattern Recognition Findings, 2026.
- Abhirama S. Penamakuri*, Kiran Chhatre*, and Akshat Jain. “Audiopedia: Audio QA with Knowledge.” IEEE International Conference on Acoustics, Speech and Signal Processing, Oral, 2025. * joint first authors.
- Haoyang Du, Kiran Chhatre, Christopher Peters, Brian Keegan, Rachel McDonnell, and Cathy Ennis. “Synthetically Expressive: Evaluating Gesture and Voice for Emotion and Empathy in VR and 2D Scenarios.” ACM International Conference on Intelligent Virtual Agents, 2025. Best Paper Award.
- Kiran Chhatre, Renan Guarese, Andrii Matviienko, and Christopher Peters. “Evaluating Speech and Video Models for Face-Body Congruence.” Companion Proceedings of the ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games, 2025.
- Kiran Chhatre, Radek Daněček, Nikos Athanasiou, Giorgio Becherini, Christopher Peters, Michael J. Black, and Timo Bolkart. “AMUSE: Emotional Speech-driven 3D Body Animation via Disentangled Latent Diffusion.” Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024.
- Radek Daněček, Kiran Chhatre, Shashank Tripathi, Yandong Wen, Michael J. Black, and Timo Bolkart. “EMOTE: Emotional Speech-Driven Animation with Content-Emotion Disentanglement.” ACM SIGGRAPH Asia Conference Papers, 2023.
- Kiran Chhatre, Sidney Feygin, Colin Sheppard, and Rashid Waraich. “BEAMBayesOpt: Parallel Bayesian Optimization of Agent-Based Transportation Simulation.” International Conference on Machine Learning, Optimization, and Data Science, 2022. Special Mention Award.
- Todor Stojanovski, Hui Zhang, Emma Frid, Kiran Chhatre, Christopher Peters, Ivor Samuels, Paul Sanders, Jenni Partanen, and Deborah Lefosse. “Rethinking Computer-Aided Architectural Design (CAAD): From Generative Algorithms and Architectural Intelligence to Environmental Design and Ambient Intelligence.” International Conference on Computer-Aided Architectural Design Futures, 2021.
Journal Articles
- Kiran Chhatre, Renan Guarese, Andrii Matviienko, and Christopher Peters. “Evaluation of Generative Models for Emotional 3D Animation Generation in VR.” Frontiers in Computer Science, 2025.
Preprints
- Kiran Chhatre, Hyeonho Jeong, Yulia Gryaditskaya, Christopher E. Peters, Chun-Hao Paul Huang, and Paul Guerrero. “TrajectoryMover: Generative Movement of Object Trajectories in Videos.” arXiv, arXiv:2603.29092, 2026.
Workshop Papers
- Anna Deichler*, Kiran Chhatre*, Christopher Peters, and Jonas Beskow. “Spatio-temporal Priors in 3D Human Motion.” IEEE International Conference on Development and Learning, StEPP Workshop, 2021. * joint first authors.
Patents
- Kiran Chhatre and Srikrishna Karanam. “Systems and Methods for Image Segmentation Using Three-Dimensional Image Features.” U.S. Patent Application No. 19/284,065, 2025.
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Invited Talks & Outreach
AstraZeneca (hosted by Arthur Lewis), Stockholm Sweden — Dec 2025
Indian Institute of Science Education and Research (hosted by Prof. Amit Apte), Pune India — Jun 2025
University of Tokyo (hosted by Prof. Jun Rekimoto), Tokyo Japan — May 2025
Sony AI (hosted by Takashi Shibuya), Kyoto Japan — Apr 2025
International Computer Vision Summer School (ICVSS), Sicily Italy — Jul 2024
Indian Institute of Science (hosted by Prof. Rajiv Soundararajan), Bengaluru India — Jun 2024
Eurographics CLIPE Workshop, Limassol Cyprus — Apr 2024
Trinity College Dublin (hosted by Prof. Carol O’Sullivan), Dublin Ireland — Feb 2024
Google DeepMind Research Week, Bengaluru India — Feb 2024
Current Trends in Virtual Humans, Universitat Politècnica de Catalunya Barcelona Tech (UPC) — Sep 2022
Summer School on Virtual Humans, University of Cyprus — Sep 2021
TEDxKTH Salon: AI – what should we focus on?, Stockholm Sweden — May 2021
Contrastive Learning for Visual Representations, KTH AI Society, Stockholm Sweden — Apr 2021
Data-driven motion synthesis, KTH AI Society, Stockholm Sweden — Mar 2021
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Academic Services
Conference Reviewer: CVPR, ICCV, ECCV, NeurIPS, ICLR, AAAI, SIGGRAPH / SIGGRAPH Asia, Eurographics, BMVC, FG
Journal Reviewer: TOG, TVCG, Pattern Recognition, IEEE Transactions on Affective Computing
Program Committee: CLIPE Workshop at Eurographics 2024
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Mentorship
Jinshi Ding, M.Sc. in Software Engineering of Distributed Systems, KTH (2026 Winter – Present)
Benhou Li, M.Sc. in Computer Science, KTH (2025 Winter) → Gameplay Programmer, ByteDance, (Thesis)
Peiyang Zheng, M.Sc. in Computer Science, KTH (2024 Summer) → LLM SDE, Zeekr Technology Europe
Simon Wanna, B.Sc. in Media Technology, KTH (2023 Summer – 2024 Spring) → Intern, Scania AB
Tom Boustedt, B.Sc. in Media Technology, KTH (2023 Summer – 2024 Spring) → RA, University of Washington
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