‘Science plus arts multiplied by faith then divided by the number of our ethnic race.’ — Nujabes, feat. Shing02, Luv(sic) pt2
About Myself
Hi! I'm a Master's student at National Taiwan University 🇹🇼, where I am a member of the Communications and Multimedia Lab and advised by Prof. Robin Bing-Yu Chen. I am an AI researcher with international experience in sim-real learning and computational solvers for high-performance, physical and embodied systems. My research spans 1. graphics: simulation and animation production; 2. robotics: manipulation, dynamics, and sensing; and 3. audio: signal processing and room acoustics, focusing on physics-informed ML, neural PDE/ODE, reinforcement and robot learning, graph, and generative/multimodal models.
Internships 🇫🇮 🇯🇵 🇹🇼
Along with my work at NTU, I've had the chance to do research internships and build collaborations across several international groups. I spent time at Aalto University through the 2026 Aalto Science Institute (AScI) Summer Research Programme (QuML Group, Espoo, Finland 🇫🇮; advised by Prof. Vikas Garg), and at RIKEN's Center for Computational Science (R-CCS) through the 2025 R-CCS International HPC Computational Science Internship Program (Large-Scale Digital Twin Research Team, Kobe/Osaka, Japan 🇯🇵; under Team Principal Prof. Hirozumi Yamaguchi and Prof. Hamada Rizk of Osaka University). On the industry side, I've worked in R&D at MoonShine Animation Studio (with Dir. Shaune Jan) and Delta Electronics.
Collaborations 🇺🇸 🇨🇦 🇫🇮 🇦🇹 🇸🇬 🇹🇼
I have co-worked with cross-cultural (20+ nationalities) researchers from the U.S. DoE, ETH Zurich, NUS, UBC, UCLA, UCL, TU Delft, UOsaka, Aalto, etc. My ongoing academic collaborations include Prof. Peter Yichen Chen (UBC, Canada 🇨🇦), Dr. Tiantian Liu (Meshy AI, US 🇺🇸), Dr. Ziqiu Zeng (NUS, Singapore 🇸🇬), Prof. Fan Shi (NUS, Singapore 🇸🇬), and Prof. Yu-Lun “Alex” Liu (NYCU, Taiwan 🇹🇼), Peter Blohm (TU Wien, Austria 🇦🇹), Kyung Lee (Aalto, Finland 🇫🇮), Nils Meyer-Kahlen (Aalto, Finland 🇫🇮), Eloi Moliner (Aalto, Finland 🇫🇮), as listed in my CV. My broader ongoing collaborations also include Prof. Yun-Nung Chen (NTU, Taiwan 🇹🇼), Prof. Hung-Yi Lee (NTU, Taiwan 🇹🇼), Prof. Shang-Tse Chen (NTU, Taiwan 🇹🇼), and Prof. Xiang “Anthony” Chen (UCLA, US 🇺🇸). Working on state-of-the-art research with international teams has been one of the most rewarding parts of being in research, and is something I now actively look for.
Community Services/Networks
I contribute to the research community as an ACM reviewer for SIGGRAPH Asia, CHI, HRI, CSCW, and The Web Conference (WWW). Separately, I serve as an IEEE reviewer for ITSC.
If you are looking to connect with excellent researchers, I would also be happy to recommend the following friends:
-
Nikoleta E. Glynatsi
— RIKEN Center for Computational Science (R-CCS), Japan
Game Theory and Evolutionary Dynamics -
Nassim Beladel
— ETH Zurich, Switzerland
Self-Supervised Learning and Generative Social Choice in Politics and Communities -
Louka Verstraete
— ETH Zurich, Switzerland
FPGA Systems and Quantum Physics, with a focus on Fault Tolerance and Quantum Error Correction -
Antoine Kempf
— CEA, France
High-Performance Computing and Numerical Simulation, including Neutron Transport, Kokkos, and Computational Fluid Dynamics -
Pei-Chi Tsai
— University College London (UCL), UK
Cities, Sustainable Strategy, Urban Heat Island, Data Analysis, and Extended Reality -
Yen-Shan (Lily) Chen
— National Taiwan University (NTU), Taiwan
AI Safety and Large Language Models, with a focus on Trustworthy AI, LLM Robustness, Agentic Safety, and Mechanistic Interpretability -
Tzu-Hsin Hsieh
— Delft University of Technology (TU Delft), the Netherlands
Augmented and Virtual Reality, Human–Computer Interaction, and Artificial Intelligence
Music — YouTube Playlist
Update sometimes, depends on your donation or my mood.
Collaboration is one of the parts of research I enjoy most — technical discussions, sharing expertise, and figuring out what we can build together. If any of the above resonates, let's discuss!
Outside of research: graffiti (in legal areas), live houses/music festivals, and traveling.
Publications
Selected (8/16)
Estimation of Room Impulse Responses from Handclaps
IEEE ICASSP 2027 (Under Review).
preprint arXiv:2609.35839 PDF Acoustic measurements · Acoustic signal processing · Deep learning · Inverse problems · Reverberation
EUPHORIA: Efficient Universal Planning via Hybrid Optimization for Robust Industrial Robotic Assembly
ArXiv 2026 (1st Author, Preprint). PDF
UMEDA: Unified Multi-modal Efficient Data Fusion for Privacy-Preserving Graph Federated Learning via Spectral-Gated Attention and Diffusion-Based Operator Alignment
ArXiv 2026 (1st Author, Preprint). PDF
Others (8/16)
Accelerating Large-Scale Federated Graph Foundation Model Pre-training for Secure Sensing via Hierarchical Parallelism
ISC High Performance 2026 (1st Author, Research Poster, Presented). PDF
Thesis
Research & Work Experience
Research Intern, QuML Group (1% acceptance rate; fully funded; applicants from 135 countries)
Aalto University, School of Science — Helsinki, Finland- Researched scalable physics-informed learning, neural PDEs/ODEs, and generative modeling for complex geometries with Peter Blohm under Prof. Vikas Garg.
- Selected as the first Taiwanese participant in the program’s five-year history.
- 2026 Aalto Science Institute International Summer Research Programme | Project: “Machine Learning: Foundations and New Frontiers”.
Visiting Researcher
Aalto Acoustics Lab, Aalto University, Espoo, Finland
- Devising supervised flow-matching models that learn room impulse responses for robust sim-to-real transfer and cross-room generalization, in collaboration with Kyung Yun Lee, Dr. Nils Meyer-Kahlen, and Dr. Eloi Moliner.
HPC Research Intern (Supercomputer Fugaku), Large-Scale Digital Twin Research Team (2% acceptance rate; fully funded)
RIKEN Center for Computational Science — Kobe–Osaka, Japan- Researched diffusion neural operators, ODE dynamics, and world models for robust physics-informed sensing with Dr.Fukuharu Tanaka under Prof. Hirozumi Yamaguchi (PI) and Prof. Hamada Rizk.
- Devised graph federated learning for multimodal sensing on supercomputer Fugaku, scaling to 10k clients with enhancing 15x training throughput.
- Built edge/cloud distributed computing pipelines with graph federated learning foundation models and differential privacy for human–scene interaction.
AI Research Engineer, R&D Team
MoonShine Animation Studio — Taipei, Taiwan (Dir. Shaune Jan; Prof. Xiang “Anthony” Chen, UCLA)- Developed synthetic data-based world model, VLM and 3D/4DGS-based creator tools for animation, VFX, and entertainment production workflows.
- Designed multi-agent MLLM-as-a-judge for efficient artist-supervisor review under Dir. Shaune Jan and Prof. Xiang “Anthony” Chen (UCLA), achieving a 74% preference rate among practitioners.
Research Assistant (Interactive Graphics Lab)
Communications & Multimedia Lab, National Taiwan University (Advisor: Prof. Robin Bing-Yu Chen)
- Differentiable Projective Dynamics hyper-elastic mesh solver with positive-definite Hessian projection; 1.65×–2.26× acceleration via stable clamping strategies.
Research Assistant
Robot-Aided Creation & Construction Research Group — Synchronization Lab (Prof. Yang-Ting Shen, Prof. Chia-Ching Yen, Prof. Alvin Wen-Yu Su)
- Robotic reinforcement learning on Kuka/UR10/Hiwin in Omniverse Isaac Gym/Lab; graph RL for geometric brick assembly by mobile manipulators.
- ROS2 systems integrating SLAM, supervised learning (YOLO, LSTM), and RL for motion control, planning, and obstacle avoidance.
Deep Learning Intern, Power and System Business Group
Delta Electronics — Taoyuan, Taiwan- Developed a PyTorch3D point-cloud autoencoder using 74k meshes and an XGBoost surrogate model for finite-element-based magnetic-core design, reducing prediction error to 1% of the formula-based baseline.
- Implemented the PyTorch3D training pipeline with Docker and NVIDIA V100 infrastructure.
Honors & Awards
2026 Foxconn Tech Award
- Selected for the Foxconn Tech Award ($100,000) for my undergraduate first-author publication — combining attention-based graph clustering with reinforcement learning (Dueling DDQN).
- The honored work is M3 (Research Full Paper), presented at ACM SIGSPATIAL 2025 and applied to personalized green-travel recommendations for public transport.
2023 AIoT Innovation Challenge
- Secured 3rd Place & Sponsors Award ($30,000) from NXP Semiconductors (Awards).
- Built a microcontroller-based SensorHub (ADI/NXP/Arduino) integrating DHT11/SCD40/PMS5003T via chips communication(I²C/UART); developed calibration tests with real-time logging in HVAC/fan/lighting control linked to Unity digital twin for vision model based crowd regulation.
Overseas Conference Travel Grant
- Travel support recipient for attending the ISC High Performance conference 2026 (June 22-26, Hamburg, Germany).
2025 Overseas Conference Travel Grant
- Graduate student travel support recipient ($1,000) for SIGGRAPH Asia 2025 conference (December 16 – 18, Hong Kong).
Graduate Student Scholarship
- Recipient of the graduate student scholarship for the 2025-2026 academic year.
Academic & Community Service
- Led proposal development, invited-speaker outreach, and program organization for “Beyond Rigid Bodies × Newton for Robotics: Open GPU Physics, Differentiable Simulation, and Multi-Solver Ecosystems for Physical AI and Embodied Robotics” , bridging computer graphics, differentiable simulation, 3D vision, and robot learning.
- Coordinated the integration of the workshop with the NVIDIA Newton / Physical AI team, developing a full-day program that connects academic research on non-rigid and differentiable simulation with NVIDIA Warp, Newton, and Isaac Lab workflows for GPU physics, multi-solver robotics simulation, and robot learning.
- Worked with NVIDIA organizers and speakers Johnny Nunez Cano, Asier Arranz, and Lu Shi on the workshop narrative, demonstrations, and the transition from research questions and solver requirements to practical Physical AI workflows.
- Organized four invited technical talks by Taku Komura (HKU), Tao Du (Tsinghua), Srinath Sridhar (Brown), and Yunzhu Li (Columbia).
ACM @ SIGGRAPH ASIA’26, CHI’25, HRI’25, CSCW’24, WWW’25- Reviewed 9 full- and short-paper submissions in animation/simulation, human–computer/robot interaction and web retrieval.
IEEE @ ICRA'27, ITSC’26, ICASSP'27- Reviewed 2 full-paper submission in intelligent transportation systems and 10 papers in audio and acoustic signal processing.
Lead Technical Specialist
NTU AI Club @ Taipei, Taiwan- Spearheaded academic research initiatives and lectures on AI; designed and mentored advanced technical workshops in AI research.
Mandatory Military Service
Taiwan Air Force