TechLab at Mcity is an incubator for early-stage mobility companies in the connected and autonomous vehicle industry. The incubator places a heavy emphasis on student learning by matching emerging transportation startups with students interested in applying classroom learning to practical technology development. 

TechLab is managed by U-M Center for Entrepreneurship, in partnership with Mcity.

 

FOR STUDENTS

ENTR 390. 013 | Tues. 4-6PM, 1690 Beyster

TechLab students experience entrepreneurship while working in the emerging industry of connected and automated mobility. We are looking for the most driven, passionate and talented students to join this program. 

 

HIGHLIGHTS

  • Participate in a 1-year fellowship program (Must be able to enroll Winter-Fall 2019) 
  • Complete a sponsor company project and receive 3-credits per semester
  • Gain experience developing new technologies at an early-stage startup
  • Work with industry experts and U-M faculty across multiple disciplines  

 

 

FOR COMPANIES

COHORT INFORMATION

This incubator is for startups who are developing technologies for connected and automated vehicles, and passionate about educating the future technical leaders of tomorrow. 

 

HIGHLIGHTS

  • Work on your proposed year-long project with a team of 3-4 student interns
  • Receive access to the Mcity Test Facilty–the nation’s leading mobility research and urban test facility on U-M’s North Campus
  • Gain access to U-M faculty and industry experts
  • Leverage the close proximity to Detroit, the birthplace of mobility 

 

STUDENT   FAQs

I am not a CoE student, can I apply?
TechLab is open to all undergraduate students.

Due to the highly competitive nature of the program, if you are not accepted, we recommend reapplying the following year. Depending on the technical experience that a student has, an incoming freshman could be selected to participate.

I am a Masters student, can I apply?
At this time, TechLab is only open to undergraduate students. We are looking to expand the program to Master students.
What is the time commitment?
In order to participate, you must be able to commit to two semesters – Winter & Fall.

Students are required to attend a lecture class every week. Class serves two purposes (1) Receive lectures from faculty on topics like business model and project management (2) Present weekly updates and ask for guidance relating to project roadblocks

To fit with U-M guidelines of 2-3 hours of work per credit hour, this course will require 8-10 hours outside of class.

How will I know if I am selected?
Only selected students will be contacted via email.
How will students interface with the companies?
Student teams have an hour-long weekly Skype or Google Hangout call with the company they are matched with. At different points during the year company leads may travel to Ann Arbor to work with students.
How many & what type of credits do I earn?
3 general elective credits per semester. You must be eligible to receive all 3 credits.

 

*Note: EECS students can use this course as a flexible technical credit. We are working to get this approved among other CoE departments. 

COMPANY  FAQs

What do companies receive access to?
Upon being accepted into the incubator program, companies are paired with a team of 3-4 U-M students. As a part of TechLab, you also receive access to Mcity’s Open CAV program, the Mcity Test Facility– the nation’s leading mobility research and urban test facility on U-M’s North Campus, and additional resources as needed. 
What type of companies are you looking for?
We are looking for early-stage technology companies in the autonomous and connected vehicle industry. The typical TechLab company is one that has already raised > $5M dollars and has more than 15 employees. This guarantees that we are working with globally leading companies that are well on their way and have the management capability to oversee and contribute to projects in a substantial way.
How does our company apply?
All companies are required to submit a proposal. If you are interested in being considered for this incubator program, please email techlab-mcity@umich.edu.
Who owns any IP that is developed?
Existing intellectual property of technology startups, and any IP developed using the U-M facilities, will be strictly protected and remain with your company. All students are required to sign a NDA.

2019 TECHLAB COHORT

Aditi Krishnan

Aditi Krishnan

Computer Science| Class of 2020

Adrian Pinto

Adrian Pinto

Computer Science | Class of 2020

Anoop Ravella

Anoop Ravella

Computer Science | Class of 2020

Brett Wolff

Brett Wolff

Mechanical Engineering | Class of 2020

Chelsie Eiden

Chelsie Eiden

Computer Science | Class of 2020

Christopher Nguyen

Christopher Nguyen

Computer Science | Class of 2020

Dan Labruna

Dan Labruna

Computer Science & Engineering | Class of 2019

Daniel Wu

Daniel Wu

Computer Science | Class of 2020

Howard Willard

Howard Willard

Computer Science | Class of 2020

Jianxin Zhang

Jianxin Zhang

Computer Science & Math | Class of 2020

Jonas Hirshland

Jonas Hirshland

Computer Science | Class of 2020

Julia Pagnucco

Julia Pagnucco

Computer Science | Class of 2020

Kevin Kraydich

Kevin Kraydich

Computer Engineering | Class of 2021

Kristina Danos

Kristina Danos

Data Science | Class of 2021

Linyun Luo

Linyun Luo

Computer Science | Class of 2020

Matt Saracenco

Matt Saracenco

Computer Science | Class of 2021

Maxim Hayes

Maxim Hayes

Computer Science | Class of 2021

Mingshuo Shao

Mingshuo Shao

Computer Engineering | Class of 2019

Nathan Gaissert

Nathan Gaissert

Electrical Engineering | Class of 2020

Nicholas Finelli

Nicholas Finelli

Data Science | Class of 2019

Nitya Tammana

Nitya Tammana

Computer Engineering | Class of 2021

Omar Alhazzaa

Omar Alhazzaa

Computer Engineering | Class of 2021

Shahera Khandaker

Shahera Khandaker

Electrical Engineering | Class of 2020

Steven Phan

Steven Phan

Electrical Engineering | Class of 2021

Tianhong Wen

Tianhong Wen

Mechanical Engineering | Class of 2019

Yashmeet Gambhir

Yashmeet Gambhir

Data Science | Class of 2020

TECHLAB STAFF

Jay Ellis

Jay Ellis

Instructor

Nick Moroz

Nick Moroz

Program Director

Emilee Studley

Emilee Studley

Program Specialist

Greg McGuire

Greg McGuire

Lab Director - Mcity

2019   SPONSOR   COMPANIES

CARMERA

CARMERA

New York City, NY

Provides real-time 3D maps and navigation-critical data for autonomous vehicles. | More info: carmera.com

Looking for. experience in..

  • Computer vision
  • Machine learning
  • Artificial intelligence
  • Software development either from hands on internships/projects or advanced level courses in programming, preferred
  • In-vehicle integration skills

Desired Coursework : EECS 442, EECS 445, EECS 447, EECS 492, EECS 402, EECS 481

RightHook

RightHook

San Jose, CA

Exposes self-driving cars to the harshest conditions on earth through simulation testing. | More info: righthook.io

Looking for experience in…

  • Autonomous vehicle sensing suite
  • Data management
  • ROS/Python/C++, MatLAB and/or Octave
  • Machine learning techniques – classification, clustering, regression – and framework

 

Trillium Secure

Trillium Secure

Sunnyvale, CA

Developing machine learning techniques to advance vehicle cybersecurity measures. | More info: trilliumsecure.com

Looking for experience in…

  • Machine learning
  • Artificial intelligence 
  • Experience with CAN bus data
  • Knowledge of data formats and/or databases

Desired coursework (or their prerequisites): EECS 445, EECS 453, EECS 545

 

May Mobility

May Mobility

Ann Arbor, MI

Transforming the experience of where you want to go by deploying fully autonomous shuttles. | More info: maymobility.com

Looking for experience in…

  • MechE / Mechatronics: Design, CAD and machine shop skills
  • Electrical skills (motors, wiring, soldering)
  • Computer Science: Strong C skills preferred, or C++ with a willingness to work in C 

 

 

Humanising Autonomy

Humanising Autonomy

London, UK

Humanising Autonomy has built a human intent prediction application that is able to recognise
and predict human behavior from visual camera footage. | More info: humanisingautonomy.com

Looking for experience in…

  • Machine learning, deep learning, computer vision, machine vision
  • Machine vision, systems design and integration, autonomous robotics

Desired Coursework: EECS 216, EECS 250, EECS 270, EECS 280, EECS 281, EECS 282, EECS 381, EECS 382, EECS 453, EECS 492

 

 

Innoviz Technologies

Innoviz Technologies

Kfar Saba, HaMerkaz, Israel

Innoviz is a leading provider of cutting-edge LiDAR remote sensing solutions to enable the mass
commercialization of autonomous vehicles. | More info: innoviztech.com

Looking for experience in…

  • control & robotics, machine learning, perception, sensor fusion, and vehicle integration.

Desired Coursework: EECS 216, EECS 250, EECS 270, EECS 280, EECS 281, EECS 282, EECS 381, EECS 382, EECS 453, EECS 492

 

 

ALUMNI   COMPANIES

Civil Maps

Civil Maps

San Francisco, CA

civilmaps.com
Fall 2016-Winter 2017

PolySync

PolySync

Portland, OR and Ann Arbor, MI

polysync.io
Fall 2016-Fall 2018

NAVYA

NAVYA

Villeurbanne, France

navya.tech
Fall 2016-Winter 2017

Zendrive

Zendrive

San Francisco, CA

zendrive.com
Fall 2017-Winter 2018

IN  THE  NEWS

Mobility startups join U-M incubator

    Ann Arbor, Mich. (Oct. 3, 2017) – On the heels of the federal government’s new guidance for industry and state governments on automated driving systems, emerging mobility companies are coming to the nation’s leading test facility to pilot their...

Driverless shuttle joins TechLab at Mcity

ANN ARBOR–A fully autonomous, 15-passenger electric shuttle manufactured by French firm NAVYA will support research and provide self-guided tours of Mcity, U-M’s one-of-a-kind test site for connected and automated vehicles. U-M and NAVYA announced the...

Driving the Future of Mobility

Three high-potential companies from the West Coast—Zendrive, PolySync and Civil Maps—will join TechLab at Mcity this fall. The move is part of an expansion of an innovative program designed to drive the future of mobility, announced the University of Michigan Center...