Explore Current Projects

RRCC Data Lab with Math Department

RRCC Data Lab is a student and faculty collaborative research group aimed at tackling real world data problems within a multidisciplinary community.

Primarily, the Data Lab is a platform for students to learn data science. This includes learning how to analyze and effectively present data as well as immersing the student in computer science technology such as: 

  • ubiquitous coding languages
  • industry standard collaboration and workflow software
  • data collection sensors
  • micro-controllers
  • data processing servers
  • computers

A secondary objective of the RRCC Data Lab is to engage industry and community partners in order to provide real-world data analytics challenges to the lab. Simultaneously, these partnerships will be leveraged toward granting access and opportunities to student-members of the lab.

RRCC Data Lab projects include:

  • Creating a library of human cell images to be used in training neural networks (machine learning) to identify cancer
  • Building and installing flow sensors to monitor surface water (and associated pollutant) drainage into municipal drinking water reservoirs.
  • Partnering with Clair Solutions to analyze data packets from WiFi networks provided to large venues, such as concerts and conferences, in search of network optimizations and fault minimization. 
  • Using digital elevation terrain data to create an improved, mathematically validated, grading system for runs at ski resorts.

Github site: https://github.com/RRCCDataLab

For more info, contact math faculty adam.forland@rrcc.edu

Cyber Lab with Cybersecurity students

The CyberLab is an innovation that allows students to take a holistic approach to cybersecurity and learn how to defend against real-time attacks in a small enterprise network. It is an isolated, multi-functioning platform that, by its very nature, lends itself to collaborative and hands-on learning. Physically, it is server rack composed of rescued, end-of-life equipment (i.e. servers, networking equipment, and firewalls) provided by our industry partner, the RRCC Computer Services department with configured network communication and software such as operating systems and vulnerability management tools used in the field today.

After winning 2nd place in the 2017 NSF Community College Innovation Challenge, the project leads are continuing to build this system as an education outreach tool.

The Project Leads are Bruno Salvatico and John Sanchez with support from IT Director Bill Cherrington and faculty Joe Murdock.