Computer Science Engineer

Faraz M. Mirzaei

University of Minnesota 612-***-****

*-*** **/** ********, 200 Union St. SE

Information abpou6@r.postjobfree.com

Minneapolis, MN 55455 umn.edu/~faraz

5+ years of experience in computer vision, image processing, and machine learning

Summary of

Qualifications 2+ years of experience in leading graduate and undergrad students in computer vision research

University of Minnesota, Minneapolis, MN

Education

Ph.D. in Computer Science Dec. 2011 (expected)

Thesis: Extrinsic and Intrinsic Sensor Calibration

Adviser: Prof. Stergios I. Roumeliotis

M.S. in Computer Science Jul. 2007

Shiraz University, Shiraz, Iran

B.Sc. in Electrical Engineering May 2004

Senior Project: Remote Rain Gauge Data Transfer System

Computer vision (Structure from motion, stereo/mono reconstruction, motion estimation)

Technical

Image processing (Segmentation, edge detection, denoising, feature detection/matching)

Skills

Machine learning and pattern recognition (Object detection/classi cation, SVM, K-PCA)

Estimator design (Extended/Unscented Kalman lter, particle lter, MAP, non-linear LS)

Robotics (Sensor calibration, SLAM, GPS/vision/laser-aided inertial navigation)

Extensive hardware experience (Camera, LiDAR, GPS, IMU, magnetometers)

Toshiba Medical Systems, Minnetonka, MN May 2011 Sep. 2011

Professional

Experience Intern Scientist

Contributed to a large project on o ine preprocessing of 3D medical images to improve the

quality and speed of organ segmentation/visualization algorithms

Developed a prototype for automatic hierarchical segmentation of 3D medical images (CT)

University of Minnesota, Minneapolis, MN Jan. 2005 May 2011

Research Assistant, Dept. of Computer Science and Engineering

Designed, implemented, and tested high-precision algorithms for:

Robust and real-time vanishing point estimation in urban environments with application

to localization, place recognition, and augmented reality

Laser-aided inertial navigation system for localization of the visually impaired inside build-

ings, achieving 10 cm accuracy in position and sub-degree accuracy in orientation

Intrinsic/extrinsic calibration of the Velodyne 3D LiDAR and the Ladybug spherical vision

system for use in photorealistic 3D reconstruction

SVM-based detection and classi cation of tra c signs for driving assistance

Simultaneous Localization and Mapping (SLAM) using 3D line segments and gyroscope/od-

ometry measurements in indoor environments

Line-segment extraction from range and image measurements using Probabilistic PCA

Showcased various robotic systems developed at the University of Minnesota to visitors from

industry (including executive teams), academia, and K12 schools

Faraz M. Mirzaei Page 2

Led team meetings to design and manufacture a new tracked ground robot

Participated in writing grant proposals for projects in robotics and computer vision

Corrosion Control & Management Co., Ahvaz, Iran Jun. 2004 Dec. 2004

Instrumentation Engineer

Worked with a team of programmers to develop industrial preventive maintenance software

Developed instruction manuals for calibration and maintenance of sensors in oil industry

Iran Telecommunication Research Center, Tehran, Iran Jun. 2002 Sep. 2002

Mobile/Cellular Communications Intern

Simulated a spread-spectrum smart antenna system for 3rd generation cellular communication

in Matlab and Simulink

C/C++, STL, Boost, Matlab, Python, Perl, VTune, CUDA, SWIG, Maple, Subversion

Computer

OS: GNU/Linux, Solaris, Windows

Skills

Doctoral Dissertation Fellowship, Graduate School, University of Minnesota 2008 2009

Awards &

Excellence in Research Award, Dept. of Computer Science, University of Minnesota 2007

Honors

Mentored 4 graduate students to implement computer vision and sensor calibration algorithms

Leadership

Led 5 undergrad students to design and manufacture a tracked robot and its electronic systems

roles

Reviewer of: IEEE Transactions on Robotics; International Journal of Robotic Research; IEEE

Services

International Conference on Robotics and Automation (ICRA); IEEE/RSJ International Con-

ference on Intelligent Robotics and Systems (IROS); Robotics: Science and Systems (RSS)

F. M. Mirzaei and S. I. Roumeliotis, Optimal estimation of vanishing points in a Manhattan

Selected

world, to appear in IEEE Int. Conf. Comput. Vis. (ICCV), Barcelona, Spain, Nov. 2011.

Publications

F. M. Mirzaei, D. G. Kottas and S. I. Roumeliotis, 3D Lidar-camera intrinsic and extrinsic

calibration: observability analysis and analytical least squares-based initialization, submitted

to Int. J. Robot. Research.

F. M. Mirzaei and S. I. Roumeliotis, Globally optimal pose estimation from line-to-line

correspondences, in Proc. IEEE Int. Conf. Robot. Autom. (ICRA), Shanghai, May 2011.

J. A. Hesch, F. M. Mirzaei, G. L. Mariottini, and S. I. Roumeliotis, A laser-aided inertial

navigation system (L-INS) for human localization in unknown indoor environments, in Proc.

IEEE Int. Conf. Robot. Autom. (ICRA), Anchorage, AK, May 2010.

F. M. Mirzaei and S. I. Roumeliotis, A Kalman lter-based algorithm for IMU-camera

calibration: observability analysis and performance evaluation, IEEE Trans. Robot., 24(5),

pp. 1143 1156, Oct. 2008. Top citation for IMU-camera calibration.

F. M. Mirzaei, A. I. Mourikis, and S. I. Roumeliotis, On the performance of multi-robot

target tracking, in Proc. IEEE Int. Conf. Robot. Autom. (ICRA), Rome, Italy, Apr. 2007.

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