RESEARCH & FACULTY FELLOW PROGRAMS - CALL FOR PROPOSAL:
CMTC Individual Research Fellows
The Comcast Media and Technology Center (CMTC) provides transdisciplinary research grants, up to $5,000, to individual faculty members to promote for future, and extensions of current research and to help obtain external grant funding. The purpose of the CMTC individual research fellowship is to support individual faculty working at the intersection of media and technology, towards new innovative research and creative endeavors that lead to external grants, national exhibitions, performative events and nationally-recognized peer-reviewed publications. Funds can be used toward a range of activities including the hiring of students, class buyouts, pilot studies, testing, external grant-writers, etc.
CMTC Faculty Fellows
The CMTC Faculty Fellows Program is dedicated to creating future and professionally-focused curricula that utilize results-oriented education to foster transdisciplinary collaboration, creativity and innovative approaches to real-world problems. With these objectives in mind, CMTC supports approximately five Fellows each academic year and is pleased to offer one-year fellowships for the 2019/20 academic year.
CMTC Collaborative Fellowship
The purpose of the CMTC collaborative research fellowship is to support emerging and established translational faculty research teams from different media and technology disciplines. The CMTC provides transdisciplinary research grants, between $5,000 - $20,000 per team, to encourage new innovative research and creative endeavors leading to external grants, national exhibitions, performative works, and peer-reviewed publications.
All faculty members at CU Denver/Anschutz are eligible to apply. Faculty members can receive only one CMTC grant per academic year.
July 21, 2019 – for 2019/20 academic year
For more information and learn how to apply, please wait for the official publication of the 2019-2020 application and guidelines.
RESEARCH PROJECTS LED BY CMTC FELLOWS:
Human Gait Analysis by Mining and Classification of Skeletal Data
Dr. Farnoush Banaei-Kashani, College of Engineering and Applied Sciences
Site-specific Immersive Storytelling and Near-Field Stop Motion for Head-mounted Display
Howard Cook, MFA, College of Arts & Media
Audible Battery Management System for Electric Vehicles
Dr. Liang He, College of Engineering and Applied Sciences
Exploring Brain-based Biometrics for Virtual Reality
Dr. Feng Lin, College of Engineering and Applied Sciences