Assistant Computer Science

Sergiy Fe latyev

**** ********* **., *****, ** **617, USA 813-***-****

sfe ******@*****.*** http://www.cse.usf.edu/ sfe lat/

OBJECTIVE R&D in the eld of pattern recognition and machine learning.

INTERESTS Pattern Recognition, Machine Learning, Computer Vision, Multimedia, Data Mining,

Image Processing, Biometrics, Document Image Analysis.

EDUCATION Ph.D., Computer Science and Engineering,

University of South Florida, Tampa, FL, USA. 2008 2012

Field of study: pattern recognition, image analysis, machine learning, multimedia.

Dissertation: Algorithms for Visual Maritime Surveillance with Rapidly Moving

Camera.

M.S., Computer Science,

University of South Florida, Tampa, FL, USA. GPA: 4.00/4.00 2005 2008

Thesis: Detection of Marine Vehicles in Images and Video of Open Sea.

Specialist, Information Technologies,

National Technical University of Ukraine, Kiev, Ukraine. 2002 2004

GPA: 3.78/4.00 (estimated), Diploma with honors.

B.S., Computer Science,

National Technical University of Ukraine, Kiev, Ukraine 1998 2002

GPA: 3.89/4.00 (estimated), Diploma with honors.

CERTIFICATION IEEE Certi ed Software Development Associate (CSDA), July 2011, Certi cate

number 0005607.

WORK Research Assistant, Univ. of South Florida Spring 2011 Summer 2012

EXPERIENCE Detection of oil-bubbles in images of water from BP Gulf Oil Spill. The image data is

obtained with the help of SIPPER (Shadow Imaging Particle Pro ler and Evaluation

Reporter) during several cruises to the BP Oil Spill area. My responsibilities include

research and development of image processing and machine learning techniques to

discern suspected oil-bubbles from plankton particles present in the images.

Research Intern, Brimrose Corporation Summer 2010

Internship at Brimrose Corporation (www.brimrose.com). Research and development

of miniaturized hyperspectral imaging system based on Acousto-Optical Tunable Filter.

Development of an application for collection of valid hyperspectral image data.

Research on the classi cation of pixels in hyperspectral images based on signa-

tures of materials.

Research Assistant, Univ. of South Florida Fall 2007 Fall 2009

Buoy-based visual surveillance system for maritime tra c. Joint project with Center of

Ocean Technology at the University of South Florida. My duties included research and

development of algorithms for visual surveillance under maritime conditions, software

development of the prototype of the system, and publication of results.

Research Assistant, Univ. of South Florida Summer 2006 Summer 2007

Development of a custom web-based expert system at the H. Lee Mo tt Cancer Center

and Research Institute to help physicians screen patients for phase II clinical trials. Re-

search on mining patients data for the purpose of automated screening. Development

of medical informatics system.

Research Assistant, Univ. of South Florida Summer 2006

Gait-based human recognition from video sequences. Research on use of HDTV-

resolution video data for automatic gait recognition.

Teaching Assistant, Instructor, Univ. of South Florida

Fall 2010 : Teaching assistant for Analysis of Algorithms, Dept. of Computer Science

and Engineering.

Spring 2010 : Instructor for Object-Oriented Design, Dept. of Computer Science and

Engineering.

Summer 2009 : Teaching assistant for Object-Oriented Design, Dept. of Computer

Science and Engineering.

Fall 2005, Spring 2006 : Teaching assistant for Database Systems, Dept. of Computer

Science and Engineering.

Web-Software Developer, Negeso B.V. Spring 2003 Summer 2005

Negeso B.V., Headquarters in Nieuwegein, Netherlands, branch o ce in Kiev, Ukraine

Web-site development

Linux system administration

TECHNICAL Programming Languages: C/C++ (strong), MATLAB(strong), Java/PHP/Shell(prior

SKILLS experience)

RDBMS (prior experience): MySQL, PostgreSQL, MS SQL Server

Operating Systems: Linux, Unix, MS Windows

Version Control: SVN, CVS, StarTeam

Web: HTML, XML, XSLT, CSS, Javascript

GRADUATE Operating Systems, Computer Architecture, Intro to Theory of Algorithms, Digital

COURSEWORK Image Processing, Computer Vision, Data Mining, Neural Networks, Image Analysis

Topics: Video, Document Image Analysis, Machine Learning, 3-D Data from Images,

Geomet/Stat Pattern Recognition, Probabilistic Modeling, Estimation & Inference,

Statistics Methods I-II, Environmental Sensor Systems.

PROFESSIONAL Organizational Committee Member, The 19th International Conference on

MEMBERSHIP Pattern Recognition, Tampa, FL 2008

AND TRAINING Student Member, IEEE

Student Member, SPIE

Training, Int l Computer Vision Summer School, Sicily, Italy, Summer 2009

Reviewer, Int l Journal on Pattern Recognition and Arti cial Intelligence

AWARDS AND Data Mining Practice Prize in recognition of outstanding paper, ICDM 11

ACHIEVE- USF College of Engineering research poster award (2008)

MENTS Graduate Multidisciplinary Scholar fellowship (2007-2009)

Specialist diploma with honors (2004)

Bachelor of science diploma with honors (2002)

OTHER Fluent in Russian and Ukrainian. References and publication list are available per

request.

me.dvi

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