The efficacy of solid and fluid simulation methods in the evolving landscape of visual computing, manufacturing, and robotics industries is fundamentally determined by robustness, efficiency, accuracy, and versatility.
However, achieving a harmonious balance among these crucial characteristics remains an open challenge.
The Simulation Intelligence Group (SIG) led by Minchen is committed to advancing the frontiers of physical simulation by striving for unprecedented levels of performance in all these areas,
leveraging a comprehensive approach that combines numerical analysis, high-performance computing, and machine learning.
SIG is part of Carnegie Mellon Graphics Lab.
Members
- Minchen Li (Principal Investigator)
- Christina Contreras (Administrative Support)
- Kevin You (CMU Undergrad)
- Trey Dubose (CMU Undergrad)
- Kemeng Huang (Visiting Ph.D. from HKU)
- Bowen Ren (Undergrad Intern from THU)
- Yuqi Meng (Undergrad Intern from UMich)
- Zhaofeng Luo (Undergrad Intern from PKU)
- Michael Liu (Undergrad from UMich)
Alumni
Huancheng Lin (Visiting Ph.D. from HKU),
Zhitong Cui (Visiting Ph.D. from ZJU),
Ruben Partono (CMU MSCS),
David Tang (CMU Undergrad)
Opportunities
We are eager to welcome highly motivated and skilled Ph.D. students!
If you have a strong background relevant to our research areas and are interested in joining us,
you can apply to any of the Ph.D. programs within the School of Computer Science.
We recommend prioritizing the Ph.D. in Computer Science program and listing Minchen as a potential advisor.
Here are some details about our Ph.D. stipends. Applications with fellowships from external sources are also welcome!
Our group actively invites visiting students and scholars from around the globe to foster interdisciplinary collaborations.
Prospective visits usually range between 6 to 12 months. While we provide funding support, candidates are also welcome to explore alternative funds from their home institutions, third-party fellowships, etc.
The availability of the positions is limited. If you are interested, please email us with the materials listed here.
Students interested in a summer research internship/volunteer [2024 closed] can directly email us their CV, transcripts, and specific research interests aligned with our research focus.
We appreciate your understanding that, due to a high influx of emails, we may not be able to respond to all inquiries.
If you are a CMU student interested in working with us,
please feel free to forward your CV and specific research interests via email.
We strongly recommend embarking on this path by taking foundational and research-focused computer graphics courses,
especially 15-462 and 15-769.
While our group has limited slots for independent studies and research assistant roles under reduced course load,
we remain receptive to diverse forms of collaboration, e.g.,
SURA,
SURF, etc.
We are also open to engaging in collaborations of any kind, both within academia and industry!