CS@Mines Developing Hidden Talents

Help Drive Innovation

Help shape the technology of tomorrow! It’s been shown overwhelmingly that diversity in technology fields is a key driver for innovation. CS@Mines is organizing a mentorship experience for undergraduates in Spring 2021. The goal is to encourage students to pursue graduate studies and research careers in computing, especially students from underrepresented groups.  

What you will do

  • Experience hands-on CS research, culminating in a research symposium where you will present your work.
  • Partner with a CS@Mines graduate student mentor.
  • All meetings will be held in a virtual reality, with VR headsets provided for all participants.
  • Undergraduates who continue on with their research over the summer get to keep their VR setup!

Who should apply?

  • Sophomores, juniors, or senior undergraduates majoring in any science, technology, engineering, or math fields
  • Undergraduates from any school may apply

Accepting Applications for Spring 2021

Program Details

Timeline

Continue to check this page as dates are finalized.

Tuesday, January 19, 2021 8:00AM MST  Application Deadline
Monday, January 25, 2021 Decisions Released
Sunday, January 31, 2021 11:59PM MST Confirmation required from accepted students
February – April Research Group Meetings
Late April Research Symposium
Example Research Projects

Students can collaborate with graduate students on research project such as these: 

Robotics Demonstrations for STEM Education and Outreach 

The project objective is to create robotics demonstrations such as robot dancing, robot soccer, speech interaction, and tic-tac-toe playing, and use the demonstrations for outreach and STEM education to inspire and attract the future generation of roboticists. 

Goal Reference 

In previous work, we have developed algorithms to allow robots to understand and generate references to individual objects within their environments (e.g., “the red box”). In this project, students will investigate new ways in which robots might handle references to a robot’s own actions and goals. 

Robot Panning with Real-World Constraints

Robots performing physical tasks must adhere to physical constraints: a glass full of liquid must be kept upright, drawers must slide linearly, doors must rotate at the hinge, etc. This project will incorporate physical constraints into a robot planning system, enabling robots to plan actions and trajectories for everyday tasks. 

Enabling Smart Irrigation using Internet of Things

Public and private lawns make up the single largest irrigated crop in North America. On such a large scale, minor inefficiencies in irrigation control techniques can cause an immense amount of wasted water. This project will use loT devices to monitor soil moisture of various locations of lawns. The collected data will be then used to enable adaptive irrigation. 

Detecting Driver Phone Use to Prevent Distracted Driving

Driver distractions caused by smartphones have been a major factor in high profile car accidents. Existing solutions either do not distinguish between the driver and the passengers, like iPhone’s Do Not Disturb While Driving feature, or require the control of the car. In this project, we plan to develop an application to determine driver phone use, utilizing sensors equipped in smartphones, mainly Bluetooth and magnetometer. 

Mentors Needed
  • We need CS@Mines graduate students to be mentors to undergraduate student participants. 
  • Please visit CS@Mines Call for Mentors page for more details. 

Questions?

2 + 10 =

This work was partially funded by an unrestricted gift from Google.