Soonam Lee (̼)

Ph.D Candidate
Video and Image Processing Laboratory (VIPER)
Electrical and Computer Engineering
Purdue University

Address:
Soonam Lee
Purdue University
School of Electrical and Computer Engineering
465 Northwestern Avenue, Mailbox #270
West Lafayette, Indiana 47907-2035
USA

Email: snlee@purdue.edu
Advisor: Professor Edward J. Delp
Resume: Resume

Welcome to my webpage at Purdue University!

I am a Ph.D student and work with Professor Edward J. Delp in the Video and Image Processing Laboratory (VIPER) at the School of Electrical and Computer Engineering in Purdue University, West Lafayette.

My research interests lie in image processing, computer vision and machine learning area.


Research

  • Microscopy Image Analysis

  • Education

    Purdue University, West Lafayette, IN U.S.A.
    - Aug 2012 - Present
    - Ph.D. Student in Electrical and Computer Engineering
     
    University of Michigan, Ann Arbor, MI U.S.A.
    - Jan 2011 - Apr 2012
    - M.S. in Mathematics
     
    University of Michigan, Ann Arbor, MI U.S.A.
    - Sep 2009 - Apr 2012
    - M.S. in Electrical Engineering:Systems
    (Major: Signal processing, Minor: Communication)
     
    Hanyang University, Seoul, Korea (Summa Cum Laude)
    - Mar 2001 - Aug 2008
    - B.S. in Electrical and Computer Engineering
    - B.S. in Information Technology Management
     


    Experience

    Graduate Research Assistant, Purdue University, West Lafayette, IN U.S.A.
    - Aug. 2012 - Present
    - Research on various 2D and 3D segmentation methods with multiphoton microscopy images
    - Research on microscopy image registration along depth and time
    - Develop microscopy image (2D) and volume (3D) visualization tool
    Graduate Research Intern, Apple Inc., Cupertino, CA U.S.A.
    - May. 2016 - Aug. 2016
    - Research on flat panel display
    Graduate Research Intern, Intel Corporation, Hillsboro, OR U.S.A.
    - May. 2015 - Aug. 2015
    - Research on hardware-assisted object recognition schemes using deep learning with sparse coding toward real time application (U.S. Patent submitted)
    - Research on activity classification using keyframe selection techniques applied to deep learning method
    Graduate Research Intern, Delphi, Agoura Hills, CA U.S.A.
    - May. 2014 - Aug. 2014
    - Research on image and video segmentation using SLIC superpixels method for advanced driver assistance systems (ADAS)
    - Developed vehicle ego-motion estimation methods using Bundle adjustment
    Graduate Research Assistant, University of Michigan, Ann Arbor, MI U.S.A.
    - Aug. 2010 - Apr. 2012
    - Developed background subtraction methods in temporal doamin using 3-way factorized Restricted Boltzmann Machine (RBM)
    - Research on foreground / background segmentation under arbitrarily moving camera by establishing appropraitre objective function
    Graduate Teaching Assistant, Purdue University, West Lafayette, IN U.S.A.
    - Engineering Projects in Community Service (EPICS), Fall 2017
    - Engineering Projects in Community Service (EPICS), Spring 2017
    - Engineering Projects in Community Service (EPICS), Fall 2016
    - ECE 255: Introduction To Electronic Analysis And Design, Spring 2016
    - ECE 301: Signals and Systems, Fall 2015
    - ECE 208: Electronic Devices and Design Laboratory, Spring 2015
    - ECE 255: Introduction To Electronic Analysis And Design, Fall 2014


    Publications


    Patents


    Coursework

    Purdue University

    Fall 2012
    ECE 641 - Digital Image Processing II
    STAT 528 - Introduction to Mathematical Statistics

    Prof. Charles Bouman
    Prof. Jayanta K. Ghosh
    Spring 2013
    ECE 580 - Optimization Methods for Systems and Control
    ECE 637 - Digital Image Processing I

    Prof. Stanislaw Zak
    Prof. Charles Bouman
    Fall 2013
    ECE 638 - Principles of Digital Color Imaging Systems

    Prof. Jan P. Allebach
    Spring 2014
    ECE 662 - Pattern Recognition and Decision Making Processes

    Prof. Mireille Boutin
    Fall 2014
    ECE 661 - Computer Vision

    Prof. Avinish Kak
    Spring 2016
    BME 495 - Introduction to Optical Microscopy

    Prof. Huang

    University of Michigan

    Fall 2009
    EECS 501 - Probability and Random Processes
    EECS 551 - Mathematical Methods for Signal Processing
    EECS 554 - Introduction to Digital Communication and Coding

    Prof. Kim Winick
    Prof. Raj Nadakuditi
    Prof. Achilleas Anastasopoulos
    Winter 2010
    EECS 555 - Digital Communication Theory
    EECS 564 - Estimation, Filtering, and Detection
    MATH 419 - Linear Spaces and Matrix Theory

    Prof. Wayne Stark
    Prof. Alfred Hero
    Prof. Xiaojun Chen
    Spring 2010
    MATH 425 - Introduction to Probability
    MATH 451 - Advanced Calculus I

    Prof. Jack Goldberg
    Prof. Berit Stensones
    Fall 2010
    EECS 442 - Computer Vision
    EECS 598 - Unsupervised Feature Learning

    Prof. Silvio Savarese
    Prof. Honglak Lee
    Winter 2011
    EECS 545 - Machine Learning
    MATH 452 - Advanced Calculus II

    Prof. Honglak Lee
    Prof. Ruochuan Liu
    Fall 2011
    MATH 562 - Continuous Optimization Methods
    MATH 571 - Numerical Linear Algebra

    Prof. Romesh Saigal
    Prof. Anna Gilbert
    Winter 2012
    MATH 597 - Real Analysis I
    MATH 651 - Sparse Analysis

    Prof. Mark Rudelson
    Prof. Anna Gilbert