Innovation Hub for Advanced Transportation
The Michigan Translational Research and Commercialization (MTRAC) Innovation Hub for Advanced Transportation is a statewide program that funds translational research applications in advanced transportation materials, robotics and autonomy, sensors, electric vehicle drivetrain/propulsion, software/controls/data, and advanced manufacturing processes. The mission of this program is to advance transportation technologies that address future, or poorly met market needs.
Since 2014, U-M has housed the MTRAC Advanced Transportation program and accelerated the commercial development of mobility projects. The program expanded to a statewide innovation hub in 2016, and joins a series of specialized statewide commercialization programs with in-depth domain expertise in specific areas of research. The program reinforces State of Michigan’s Michigan Strategic Fund (MSF), the MEDC and U-M’s commitment to use entrepreneurship as a catalyst for economic growth in the State and beyond. The program is open to all institutions of higher education, hospital systems, and non-profit research centers in the State of Michigan.
This hub is run jointly by the U-M Center for Entrepreneurship and the U-M Office of Tech Transfer, in partnership with Michigan Economic Development Corporation.
Funding areas include: mobility solutions; robotics / autonomy sensors, software; electric vehicle drivetrain technology; advanced transportation materials and manufacturing processes. Projects with limited commercial applications are outside the mission of the program. Visit the MTRAC Application website.
|April 29, 2019||Oversight Committee selects finalists|
|May 17, 2019||Pitch Workshop Session #1|
|May 24, 2019||Pitch Workshop Session #2|
|May 31, 2019||Pitch Workshop Session #3|
|June 7, 2019||Finalist Presentations to Oversight Committee|
|August 1, 2019||Main Award Funding Cycle Begins|
TO IMPROVE LIKELIHOOD OF AN AWARD
U-M CFE offers entrepreneurial training sessions to improve and refine the project design and final presentation. The intent of these training opportunities is to assist faculty researchers in understanding the nuances that make commercialization efforts different from other research projects they have been involved with.
Participation in I-Corps Intro to Customer Discovery (ICD) training has proven to increase the likelihood of an MTRAC award by 3X.
|February 1, 2019||ICD Kickoff|
|Week of February 4||Office Hours|
|February 15, 2019||ICD Mid-Point|
|Week of February 18||Office Hours|
|March 1, 2019||ICD Finale|
PITCH WORKSHOP SESSIONS
The purpose of these workshops is to improve your pitch presentation to the MTRAC Oversight Committee as well as future potential investors or partners. It is highly recommended that you attend these sessions if you are a finalist.
|May 17, 2019||Session 1: Storytelling|
|May 24, 2019||Session 2: Milestone Development|
|May 31, 2019||Session 3: Practice Pitch|
What kind of projects will be funded?
Who will determine what projects are funded?
What further role will the MTRAC Transportation Oversight Committee play?
What is the process for submitting proposals?
What are the selection criteria?
What other Innovation Hubs exist for funding?
If you are interested in being connected with the other Innovation Hubs directly, please contact Divya – firstname.lastname@example.org
2018 – 2019
Advanced Wireless Technology
An advanced wireless system that provides long coverage range and high data rate connectivity to enable autonomous vehicle data flow and infotainment data flow.
Principal Investigator: David Wentzloff, University of Michigan – Ann Arbor, MI
All-Weather LIDAR System for Autonomous Vehicles
Light detection and ranging (LIDAR) system that provides improved object recognition, particularly in inclement weather, and that packages into various vehicle designs.
Principal Investigator: Nicholas Kotov, University of Michigan – Ann Arbor, MI
Coaxial Thermophone for Active Noise Control in Vehicles
Carbon nanotube thin-film thermophone wrapped coaxially around an exhaust pipe to actively control noise at low system size and weight.
Principal Investigator: Andrew Barnard, Michigan Technological University – Houghton, MI
Durable, Elastomeric, Antimicrobial Coatings with Instant and Persistent Efficacy
Antimicrobial coatings for high touch interior surfaces (e.g. dashboards, handholds, cup holders, touch screens, tray tables, seats and steering wheel) of transportation vehicles.
Principal Investigators: Anish Tuteja & Geeta Mehta, University of Michigan – Ann Arbor, MI
High-Resolution RADAR Imaging for Autonomous Vehicles
Millimeter-wave distributed RADAR imager for high-resolution imaging which operates in all weather conditions and costs less than existing LIDAR systems.
Principal Investigator: Jeffrey Nanzer, Michigan State University – East Lansing, MI
Self-Powered IoT for Smart Manufacturing and Transportation
Vibration energy harvester with high power density, wide operation bandwidth, multi-axis operation capability, and low cost for powering Internet of Things (IoT) nodes.
Principal Investigator: Ethem Erkan Aktakka, University of Michigan – Ann Arbor
2017 - 2018
Enhanced Object Recognition LIDARs for Robotics
A system to complement the distance ranging of LIDARs with fast and accurate object recognition, which will enable LIDAR point clouds to be efficiently translated into object semantics.
Primary Investigator: Nicholas Kotov, University of Michigan – Ann Arbor, MI
High Frequency Radar for Automotive Autonomous Applications
Sub-millimeter-wave radar system with superior detection resolutions, wide scanning range and minimal size, weight and power consumption.
Principal Investigator: Kamal Sarabandi, University of Michigan – Ann Arbor, MI
High-Performance Coatings for Engine Cylinder Bores
Process to deposit diamond-like coatings onto the inner surface of cylinder bores in order to reduce friction and resultant fuel consumption.
Principal Investigators: Thomas Schuelke and Qi Hua Fan, Michigan State University – East Lansing, MI
Multi-Material 3D Printing
Method which integrates electrical assemblies into components through micro-additive manufacturing.
Principal Investigator: Kira Barton, University of Michigan – Ann Arbor, MI
Sensor Fusion & Cognitive Computing Solution for Autonomous Driving
Reduced computing power system that converts raw sensor inputs into highly compressed “cues” to enhance the accuracy of real-time decision making tasks such as trajectory prediction and multi-object tracking.
Principal Investigator: Zhengya Zhang, University of Michigan – Ann Arbor, MI
Variable Coupling Wireless Power Transfer System
Wireless power transfer system that achieves high efficiency at a wide range of positions and distances between transmitter and receiver.
Principal Investigator: Amir Mortazawi, University of Michigan – Ann Arbor, MI
YOWP: Your OWn Planner
Optimal travel planning search engine which produces lower costs at minimal effort for given constraints and preferences.
Principal Investigator: Barzan Mozafari, University of Michigan – Ann Arbor, MI
2016 - 2017
Automated Ergonomic Risk Assessment System for Manual Works
A computer vision-based posture analysis that can quantitatively evaluate the level of ergonomic risk workers face at dangerous or injury-prone job sites.
Primary Investigator: SangHyun Lee, University of Michigan – Ann Arbor, MI
CNC Knitting Technology
Technology allowing manufacturers to produce lightweight materials that are documented into a design database to create hybrid textile compositions reducing costs and steps in production.
Primary Investigator: Henry Sodano, University of Michigan – Ann Arbor, MI
YOWP: Your OWn Planner
Optimal travel planning search engine which produces lower costs at minimal effort for given constraints and preferences
Principal Investigator: Barzan Mozafari, University of Michigan – Ann Arbor, MI
Solid State Batteries
The mapping of the energy and power capabilities of Solid State Batteries (SSB) and validating the ability to meet the requirements of potential early customers.
Primary Investigator: Jeff Sakamoto, University of Michigan – Ann Arbor, MI
2015 - 2016
A new generation of high capacity, high discharge rate batteries requires battery separators capable of withstanding harsh operating conditions (i.e. high currents).
John Hennessy – CEO, Co-Founder | Long Qian – CFO, Co-Founder | Siu On Tung – CTO, Co-Founder
Principal Investigator & Co-Founder: Nicholas Kotov, University of Michigan – Ann Arbor
Durable Railway Ties
Developing a durable concrete railroad tie is based on an innovative material called Engineered Cementitious Composite (ECC), popularly known as “bendable concrete,” solves the cracking of normal concrete.
Principal Investigator: Victor Li, University of Michigan – Ann Arbor
Ceramic Batteries LLC
Developing new electrode structures and manufacturing techniques to incorporate Lithium (Li)-conducting ceramic electrolytes into solid-state batteries.
Principal Investigator: Jeff Sakamoto, University of Michigan – Ann Arbor
Developing an automated ultrasound inspection system that will provide comprehensive Carbon Fiber Reinforced Plastic airframe inspection, data management, and analytics
Principal Investigators: Ed Olson & Ryan Eustice, University of Michigan – Ann Arbor
The Birdbath Resonator Gyroscope (BRG) is a navigation-grade MEMS gyroscope that has enough accuracy to allow cars to self-navigate without relying on Global Positioning System (GPS) signals and with a positional error of less than 10 centimeters.
Principal Investigator: Khalil Najafi, University of Michigan – Ann Arbor
Helping companies and researchers sequence whole human genomes 48x faster than conventional next-generation sequencing pipelines saving on computation costs with faster throughputs.
Mehrzad Samadi – CEO & Co-Founder | Ankit Sethia – CTO | Principal Investigator: Scott Malhke, University of Michigan – Ann Arbor
Developing a durable and transparent icephobic coating that can be used to eliminate ice adhesion on an automobile’s body or windshield.
Principal Investigator: Anish Tuteja, University of Michigan – Ann Arbor
2014 - 2015
Developing a new design methodology and innovative digital architectures for clock generators. These architectures will be implemented using digital design tools, resulting in a 5x reduction in design time and 15x in the silicone area. This will lead to lower costs and a reduction in the number of power clock generators.
Dr. Muhammad Faisal – CEO & Co-Founder | Dr. Jeffrey Fredenburg – VP of Engineering & Co-Founder | Principal Investigator: David Wentzloff, University of Michigan – Ann Arbor
Bamboo Fiber Composite Sheets
Principal Investigator: Jack Hu, University of Michigan – Ann Arbor
Principal Investigator: Kang Shin, University of Michigan – Ann Arbor
Power Split Hybrid Powertrains
Principal Investigator: Huei Peng – Ann Arbor
Alan Amici, TE Connectivity
Michael Barry, BASF
Sara Blackmer, RAVE Computer
Adrian Fortino, Mercury Fund
Patti Glaza, Invest Detroit
Brett Hinds, Ford Motor Company
Paul Krajewski, GM
Rajesh K. Malhan, Denso International America, Inc.
Dean Massab, Roush Enterprises
Bradford Orr, University of Michigan
Clay Phillips, MI-SBDC
Bryce Pilz, University of Michigan
Hamid Servati, ServoTech Industries
Khaled Shahwan, Fiat Chrysler Automobiles
Chris Stallman, Fontinalis Partners