Class Presentations by Students

Each student is expected to lead a lecture of his/her choice of topics, with the instructor's apporval. All students are required to meet the instructor on one-to-one basis to discuss the lecture materials in detail prior to the presentation. One week before the scheduled presentation, s/he will be expected to submit a draft version of the presentation materials and an initial treatment of the selected topics. The instructor will provide timely feedback about the pre-talk. Reading materials and/or discussion issues will be posted on the course web site, at least one day prior to each lecture. All class members will be expected to have read the listed readings, by the start of the relevant class.

Important Deadlines:

  • By Sept 24, 2019 - Choose a presentation topic and inform the instructor
  • One week before the presentation - Submit a draft of presentation materials
  • One lecture before the presentation - Hand out copies of reading materials, if not available online
  • One day before the presentation - Post the presentation materials on the web
  • Instructions for posting the lecture notes, reading materials, etc.


    Here is the list of topics to be presented by students in the chronological order:

  • Collision Detection for Deformable Models by Yu Wang (Oct 15, 2019)
  • Position-based Rigid Body Dynamics by Mrinali Vyas (Oct 22, 2019)
  • Lagrangian Particle Methods for Simulating Conservative Liquid Redistribution by Geng Lin (Nov 5, 2019)
  • Simulation of Bubble Movement by Shuhao Tan (Nov 5, 2019)
  • Rigid-body Sound Simulation by Duotun Wang (Nov 5, 2019)
  • Physically-based Sound Simulation by Yue Jiang (Nov 5, 2019)
  • Geometric-based Sound Propagation by Hsien-Yu Meng (Nov 7, 2019)
  • Robot Navigation with Collision Avoidance by Yu Shen (Nov 7, 2019)
  • Decentralized Monte-Carlo Tree Search for multi-robot planning by Pedro Sandoval Segura (Nov 12, 2019)
  • Traffic Simulation by Justin Shen (Nov 12, 2019)
  • Decentralized Collision Avoidance for Multi-Agent Systems by Senthil Arul (Nov 12, 2019)
  • Learning-based Collision Avoidance by Adarsh Sathyamoorthy (Nov 12, 2019)
  • Human Motion Synthesis and Simulation by Uttaran Bhattacharya (Tues, Nov 19, 2019)
  • Techniques for Animating Human Athletes by Niall Williams (Tues, Nov 19, 2019)
  • Haptics by Biswaksen Patnaik (Nov 26, 2019)
  • Modeling and Simulatino of Fur and Hairs by Ameya Patil (Nov 26, 2019)
  • GPU-based Differentiable Cloth Simulation by Yiling Qiao (Dec 3, 2019)
  • Data-driven Methods to Accelerate Cloth Simulation by Qingyang Tan (Dec 3, 2019)
  • Simulation of Relativistic Effects by Matthew Harding (Dec 5, 2019)
  • Fogs & Environmental Effects by Alexander Rowden (Dec 5, 2019)

  • Each student presentation will be graded based upon:

  • Advanced Preparation According to the Specification (40%)
  • Analysis and Discussion of the Materials (40%)
  • Style and Clarity of the Actual Presentation (20%)