Jason L. Clemons

*** *********

Whitmore Lake, MI 48189

734-***-**** US

abo7ax@r.postjobfree.com

OBJECTIVE: Secure a position that will allow me to develop and design computer

architectures for mobile

vision applications.

EDUCATION:

University of Michigan, Ann Arbor, MI

08/08- present Degree: Ph.D. Computer Science and Engineering

Concentration: Computer Architecture

GPA: 8.593/ 9 (4.0/4.0)

Expected Graduation Date: May 2013

09/01-08/02 Degree: M.S. Computer Science and Engineering

Concentration: Computer Architecture

GPA: 4.0/4.0 Graduation Date: August 2002

Michigan Technological University, Houghton, MI

09/96-05/00 Degree: B.S. Electrical Engineering

Concentrations: Computer Hardware, Control Systems

GPA: 4.0/4.0 Graduation Date: May 2000

RELEVANT COURSES:

Computer Architecture Parallel Computer Architecture Microarchitecture

Computer Vision (Visit) Advanced Computer Vision (Visit) Algorithms for Robotics (Visit)

Machine Learning (Visit) Intro. to Artificial Intelligence Principles of Real Time

Computing

RESEARCH & PROJECTS:

EFFEX: A Processor for Mobile Computer Vision

Ongoing research. University of Michigan, September 2009 to Present.

Advisors: Prof. Silvio Savarese & Prof. Todd Austin

This research focuses on developing computer architectures for mobile vision

applications. The objective is to

provide 1000x improvement in mobile vision computation. This will be made up of 10x

improvement in energy

efficiency and 100x in performance. We are developing a heterogeneous multi-core

architecture that supports

custom functional units and memory systems optimized for the mobile computer vision

space.

Visual Sonification for the Visually Impaired

Ongoing research. University of Michigan, September 2008 to Present.

Advisors: Prof. Silvio Savarese & Prof. Todd Austin

This research focuses on developing computer vision algorithms, sensor fusion algorithms,

3d audio algorithms, and

computer architecture for an embedded system that allows the blind to localize, navigate

enclosed areas and

recognize specific objects using audio cues. I am responsible for vision algorithms,

computer architecture,

embedded software and system integration. I also oversee the work of undergraduate and

other graduate research

for the development of the sensing and 3d audio systems.

Identifying Occlusion Edge Pixels Using Disparity and Low Level Image Cues

Preliminary Examination Research, University of Michigan, September 2009.

Advisors: Prof. Silvio Savarese & Prof. Todd Austin

This research used noisy stereo images from a low cost/quality camera to identify the

occlusion edges from a scene.

The novel component focused on using disparity maps from Gaussian Scale Space as cues to

occlusion edge

location. I developed the algorithm for finding the Gaussian Scale Space Disparity Metric

(GSSDM) that is used for

with edge detection techniques such as gPb to classify occlusion edges.

SIFT performance evaluation on GPGPU using CUDA

Parallel Computer Architecture Class Project.

University of Michigan, Fall 2008.

Team member: Ahsen Tahir Advisor: Prof. Todd Austin

This research focused on analyzing the performance speedup of Scale Invariant Feature

Transform (SIFT) when

implemented using Compute Unified Device Architecture (CUDA). This project implemented

the first 2 phases of

David Lowe s SIFT and investigate the performance speedup and bottlenecks in the

implementation. I was in

charge of SIFT implementation on in C and in CUDA. We were equally responsible for the

analysis.

PUBLICATIONS & POSTERS:

MVSS: Michigan Visual Sonification System

IEEE Emerging Signal Processing Applications (To appear), 2012

Authors: Jason Clemons, Sid Yingze Bao, Vinay Sharma, Silvio Savarese & Todd Austin

Visual Sonification is the process of converting visual properties of objects into sound

signals. This paper describes

the Michigan Visual Sonification System (MVSS) that utilizes this process to assist the

visually impaired in

distinguishing different objects in their surroundings. MVSS uses depth information to

first segment and localize

salient objects and then represents object appearance using histograms of visual

features. The histogram of a

segmented object is then converted to a sound signal, the volume and 3D placement of

which is determined by the

relative position of the object with respect to the user. The system then relies on the

considerable discriminating

power of the human brain to localize and ``classify'' the sound, thus enabling the user

to distinguish between visually

distinct object classes.

Visual Sonification

Poster, Gigascale Systems Research Center Projects Review, November 2011. Best

Poster/Demo Award Winner

Authors: Jason Clemons, Sid Yingze Bao, Mohit Bagra, Max Seiden, Erik Rainey Vinay

Sharma, Silvio Savarese &

Todd Austin

Visual Sonification is the process of converting visual properties of objects into sound

signals. The poster described

the visual sonification process and was accompanied by an early prototype of the Michigan

Visual Sonification

System (MVSS) which utilizes TI s vision framework running on a TI Blaze 4430. The system

did not fully utilize

the capabilities of the TI Blaze but was still able to demonstrate the difference in

sonification results when the

system is applied to various objects. In this demonstration we used a sock monkey and a

toy car that allowed users

to hear the difference in the generated audio signatures. MVSS uses depth information to

first segment and localize

salient objects and then represents object appearance using histograms of visual

features. The histogram of a

segmented object is then converted to a sound signal, the volume and 3D placement of

which is determined by the

relative position of the object with respect to the user. The system then relies on the

considerable discriminating

power of the human brain to localize and ``classify'' the sound, thus enabling the user

to distinguish between visually

distinct object classes.

MEVBench: A Mobile Computer Vision Benchmarking Suite

IEEE International Symposium for Workload Characterization, November 2011

Authors: Jason Clemons, Haishan Zhu, Silvio Savarese & Todd Austin

We put together a set of benchmarks, some single threaded and some multithreaded, to

evaluate embedded processor

performance in commonly performed mobile vision applications. Using this suite we

examined the performance of

various processors architectures including Intel Atom and Arm A9 while the input size and

thread count was varied.

We also developed a new metric for measuring the regularity of branching to determine the

affinity to GPGPU

architectures. Finally we proposed architectural ideas that could be used to increase

performance. Website:

http://www.eecs.umich.edu/MEVBench

EFFEX: An Embedded Processor for Computer Vision Based Feature Extraction

Design Automation Conference, June 2011

Authors: Jason Clemons, Andrew Jones, Robert Perricone, Silvio Savarese & Todd Austin

This work focused on the development of an embedded processor for computer vision based

feature extraction. We

examined three feature extraction algorithms from computer vision and developed a multi-

core embedded processor

architecture to efficiently perform feature extraction. Through custom functional units

and a specialized memory

architecture we achieve a higher normalized performance than current embedded solutions.

Classifying Occlusion Edge Pixels

Poster, Gigascale Systems Research Center Projects Review, September 2010.

Advisors: Prof. Silvio Savarese & Prof. Todd Austin

This research combines the GSSDM research from my preliminary exam with color,

brightness, and texture cues

using machine learning techniques to better classify occlusion edge pixels. Using my

GSSDM algorithm with the

other cues in a feature vector allowed for improved occlusion edge pixel classification.

EMPLOYMENT HISTORY:

09/09 University of Michigan, Ann Arbor, MI

to present Position: Graduate Student Research Assistant

Research Interest: Embedded processor design for computer vision applications

Current Research Projects:

MVSS: Embedded sonification system for people who are blind

EFFEX: Embedded processor for computer vision applications

MEVBench: A benchmarking suite for mobile computer vision

06/11Texas Instruments, Dallas, TX

to

09/11 Position: SummerIntern

Development of visual sonification system for TI development platform

Responsibilities:

-Develop PC application containing full sonification pipeline

-Develop Android sonification application for TI Blaze platform

-Benchmark sonification application

06/10NVIDIA Corporation, Santa Clara, CA

to 09/10 Position: Summer Intern

Development of computer vision algorithms for prototype

Responsibilities:

-Develop robust computer vision algorithms for prototype

-Develop data set for testing of algorithms

-Software development for proof of concept

-Assessment of feasibility

07/00Whirlpool Corporation, St. Joseph, MI

to 12/08 Position:

Embedded Systems Senior EngineerPart-time, 08/0812/08

Position:

Embedded Systems Senior Engineer, 10/06 to 08/08

Development of Controls for Production Appliances

Responsibilities:

-Development of microcontroller evaluation process

-Software Lead for development of sensor-less vector motor control

-Development of software architecture for motor control

-Management of intern for delivery of drivers for motor control platform

Position:

Embedded Systems Project Engineer, 05/0410/06

Development of Controls for Production Washer

Responsibilities:

-Development of BPM motor control software for washing machine

- Evaluation and selection of microcontrollers for washing machine controls

-Roadmap development for future electronic technologies

-Manage interns for delivery of software and hardware projects

Position:

Hardware Engineer- Networked Appliances Group, 05/0305/04

Research and development of embedded solutions for connectivity

Responsibilities:

-Investigate various networking technologies for use in appliances

-Design network interface unit for Polara oven

-Lead of embedded development

Position: Whirlpool Technical Excellence Program Rotational Program, 07/00 05/03

Rotation 4/4: WTEP Whirlpool Sweden AB, Microwave Oven System Engineer, 11/02 05/03

Designing microwave control systems

Responsibilities:

-Software and hardware design for microwave oven control system

Rotation 3/4: WTEP Advanced Electronics, Embedded Controls Engineer, 05/02 11/02

Building tools for embedded controls development

Responsibilities:

-Develop basic Simulink blocks for microcontroller functional units

-Develop base for auto-code generation using Simulink

Rotation 2/4:

WTEP Product Development, Electronics Applications Engineer, 03/0108/01

Cost and quality improvements on control boards for Calypso Washer.

Responsibilities:

-Investigate and resolve quality issue with buzzer

-Investigate transformer quality and suppliers

Design and create real time data acquisitions application.

Responsibilities:

-Learn Visual C++ and implement a data acquisitions system

Rotation 1/4: WTEP Integrated Home Solutions, Software Engineer, 9/00 3/01

Web application development using Java

Responsibilities:

-Develop Java servlet

-Investigating voice control integration

-Develop laundry assistance application

09/99Michigan Technological University, Houghton, MI

to 05/00Research Assistant - Assisted in Auger Observatory Project custom ASIC design

Responsibilities:

-Particle detector circuit design and simulation with Cadence software

06/99Ford Motor Company, Dearborn, MI

to

08/99SummerIntern - Web development using MS FrontPage, PERL, and Netscape

Enterprise Server

Responsibilities:

-Requirements gathering from those who used old application

-Teamwork with another developer to coordinate efforts

-Department web server administrator

09/98Michigan Technological University, Houghton, MI

to 05/00 Learning Center Coach - Aided students in electrical engineering coursework

06/98Delphi Automotive Systems, Flint, MI

to

08/98SummerIntern - In spark plug development researching spark patterns

Responsibilities:

-Investigate and explain sparking pattern

-Contact software vendors to help develop model of spark pattern

-Self directed study of spark patterns

SKILLS:

Electrical: Analog design, Digital design

Software: MS Office, MS Visual C++, Matlab, OpenCV, Android, Ubuntu

Programming Languages: C, C++, Java

RTL Design: Verilog

Microcontrollers/Processors: ST: STM32, TI: OMAP 4430(Arm A9), OMAP 3350 (Arm A8)

Professional Training: Whirlpool Six Sigma, Whirlpool Talent Assessment

ORGANIZATIONS:

National Society of Black Engineers, 2000 to present

Society of Women Engineers, 2001 to present

-Section Web Site Coordinator, 2003 to 2005

-SW Michigan Section Charter Member, 2004

IEEE, 1998 to present

Eta Kappa Nu (HKN), 1999 to present

HONORS/AWARDS:

Margarida Jacome Best Poster/Demo Award - Visual Sonification, Gigascale Systems

Research

Center (GSRC) Annual Symposium, GSRC, November 2011

Scholar Power Award for Scholarship, University of Michigan, 2011 & 2002

Rackham Merit Fellowship, University of Michigan, 2008

nd

2 Degree Black Belt, Sidekicks Taekwondo, 2007

Michigan Governing Boards Award, State of Michigan, 2000

National Science Foundation (NSF) Graduate Fellowship, NSF, 2000

ACTIVITIES:

Whirlpool Employees for Retention and Development, 2004 2008

-Chair, 2004 2005

Botball mentor, Lakeshore High School, Stevensville, MI, 2001 2002, 2004-2008

-Regional Champions - 2007Whirlpool Recruiting Teams North Carolina A&T, University of Michigan, NSBE, SWE, 2001

2008

-NSBE National Conference Booth Lead, 2008

-SWE National Conference Booth Lead, 2007

-Innovating for Market Leadership Seminar SWE National Conference, Presenter, 2004

NSBE Jr. Mentor, Benton Harbor Tech Center, 2002

References Available Upon Request

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