Academics & Research

2021-2022 | 2020-2021 | 2019-2020

Academics

As the founding mission of UTMIST, academic events and projects have been incredibly important in supporting our undergraduate students in the academic/research careers. In the past, UTMIST has also produced educational videos in the MIST101/102 courses, and the Department is responsible for developing new content as appropriate to keep up with new research and trends.

Yihan (Nick) Ni
VP Academics, Mentor
Hetav Pandya
VP Academics, Mentor
Jiani Li
Developer
Jiahua (Amanda) Chen
Event Coordinator
Qi Yang (Yolanda) Chen
Event Coordinator
Roland Gao
Event Coordinator
Shubhra Bedi
Mentor

Open Positions

We currently don’t have Academics openings. Check back later!


Research

Projects at UTMIST are self-directed experiences for students to be exposed to academic research and develop relevant skills for a career and graduate school. Directors will recruit and lead their own team of developers to work on a research project in analysis, reproduction, or exploration in machine intelligence. More advanced teams are encouraged to pursue publication in journals, conferences, or workshops. Students working on these teams will also have opportunities to network with graduate students and professors.

Sicong (Sheldon) Huang
VP Research

3D ResNets for Action Recognition

Jiakai (Jacky) Chen
Director
Armaan Lalani
Developer

Out-of-Distrubtion Detection (OoDD)

Sicong (Sheldon) Huang
Co-Director
Gerald Shen
Co-Director
Hongyu (Charlie) Chen
Developer
Nayan Saxena
Developer
Robert (Rupert) Wu
Developer
Yixuan (Richard) Xu
Developer
Jiarui (Skyler) Zhang
Developer

Rust for Machine Learning

Robert (Rupert) Wu
Director
Varun Lodaya
Developer
Aditya Mehrotra
Developer
Zachary Trefler
Developer
Leshi Yang
Developer

U-GAT-IT

Rohan Jain
Director
Siddarth Dagar
Developer
Aditya Gulati
Developer
Jin Seo Jo
Developer
Rutav Shah
Developer

Open Positions

Project Director, Research

Projects at UTMIST are self-directed experiences for students to be exposed to academic research and develop relevant skills for a career and graduate school. Directors will recruit and lead their own team of developers to work on a research project in analysis, reproduction, or exploration in machine intelligence. More advanced teams are encouraged to pursue publication in journals, conferences, or workshops. Students working on these teams will also have opportunities to network with graduate students and professors.

  • Requirements: We are looking for a strong academic record and/or exceptional research experience in ML, as we only work with a small number of academic projects each year. You will have probably completed at least one course related to machine intelligence and can comprehend academic papers and articles. Experience in project planning and teamwork is a plus. Candidates should submit a project proposal and be prepared for a technical interview consisting of theory and coding problems. See our past projects, past year, and Guide on Leading a Project for more information. Graduate students, especially those with compute and capacity to lead a team including some undergraduate students, are preferred and encouraged to apply.
  • Instructions: Recruitment form. Please submit your proposal in the form.
  • Application Due: Wednesday, August 10, 2022