Signal Processing Data
Resume:
Heezin Lee
Gainesville, Florida 32608
Phone: 352-***-****, Email: ******@****.***.***
Objective
To conduct research to tackle problems in airborne lidar applications using image processing
and pattern recognition techniques so as to both make contributions to and gain experience in
the field.
Research Interests
Pattern Recognition, Image Processing, Digital Signal Processing, Adaptive Signal
Processing, Remote Sensing (especially for laser ranging), Visibility Functions in Forests,
Fractal forest modeling, Feature selection, 3D point data segmentation.
Education
Ph.D. Electrical and Computer Engineering, May 2008
University of Florida, Gainesville, FL
M.S. Electrical Engineering and Computer Science, December 1999
Syracuse University, Syracuse, NY
B.S. Electrical Engineering, February 1995
Sung-Kyun-Kwan University, Seoul, South Korea
Ph.D. Dissertation Title
3D Feature Extraction and Geometric Mappings for Improved Parameter Estimation
in Forested Terrain Using Airborne LiDAR data
Collaborations
Adaptive Signal Processing Laboratory (ASPL), University of Florida
Geosensing Engineering and Mapping (GEM) Center, University of Florida
School of Forest Resources and Conservation, University of Florida
Graduate Courses
Electrical Engineering: Digital signal processing, Adaptive signal processing, Neural
networks, Pattern recognition, Data mining (sit-in), Image processing, Remote
Sensing, Fractal theory (sit-in), Digital filtering, Communication systems, State
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Heezin Lee
variables and control, Multivariable control, Optimal control, Digital electronic
circuits, VLSI, Advanced VLSI, Microwave engineering.
Others: Numerical analysis, Complex function theory, Probability and random
processes, Linear algebra, Boundary value problems, Optimization (sit-in).
Class Projects
Sea clutter analysis using fractal theory
Noise cancellation using LMS and RLS algorithms
Echo cancellation using Gamma LMS algorithm
Time Delay Neural Network (TDNN) for chaotic time series prediction
Guitar chords classification with back-propagation algorithm
Handwritten numerical character recognition
VLSI design (8bit ALU (Arithmetic Logic Unit) processor)
JPEG2000 (Wavelet transform and EZW encoder)
Work Experience
Postdoctoral Associate: ASPL lab. & GEM research center, University of Florida
(May 2008 present).
Predicting covered area in forested terrain from overhead sensors US Army
Research Office (ARO)
Conducting predictive modeling of diffractive and non-diffractive propagation in
forested terrain US Army Research Office (ARO)
Research Assistant: Under Dr. Kenneth C. Slatton, ASPL Lab & ALSM Lab,
University of Florida (October 2003 April 2008).
Characterizing signal propagation in complex 3D volumes using lidar data and
simplified physical models US Army Research Office (ARO)
Segmenting airborne lidar data to delineate individual tree crowns National
Science Foundation (NSF), National Center for Airborne Laser Mapping
(NCALM)
Developing field-of-view functions using airborne lidar data to estimate
subcanopy sunlight distribution National Science Foundation (NSF), National
Center for Airborne Laser Mapping (NCALM)
Lidar Training
ALTM GEMINI training program (March 08, 2007 March 10, 2007)
REALM survey suite data training program (April 30, 2005 May 03, 2005)
Military Service: The Air Defense Force, The Republic of Korea Army (April 1988
August 1990). Training in The Korea Army Engineering School (14 weeks)
Publications and Presentations
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Heezin Lee
Referred Journal Articles
H. Lee, K. C. Slatton, W. P. Cropper, B. E. Roth, Adaptive Clustering Airborne LiDAR
Data to Segment Individual Tree Crowns, (submitted).
H. Lee, K. C. Slatton, W. P. Cropper, B. E. Roth, Prediction of Forest Canopy Sunlight
Interception Using Three-dimensional Airborne LiDAR Data, (accepted).
Referred Conference Papers (* = invited)
K.C. Slatton, P.W. Liu, H. Lee, M.V. Campbell, Estimating High-resolution Directional
Clutter Maps in Forested Terrain Using Airborne LiDAR Data, 26th Army Science
Conference (ASC). (abstract submitted)
W.C. Wright, P.W. Liu, K.C. Slatton, R.L. Shrestha, W.E. Carter, and H. Lee, Predicting L-
band Microwave Attenuation Through Forest Canopy Using Directional Structuring
Elements and Airborne LiDAR, Proc. IEEE International Geoscience and Remote Sensing
Symposium (IGARSS). (submitted)
* H. Lee, K. Kampa, K.C. Slatton, Segmentation of ALSM Point Data and the Prediction
of Subcanopy Sunlight Distribution, Proc. IEEE International Geoscience and Remote
Sensing Symposium (IGARSS), invited, vol. 1, July 2005, pp. 525 - 528.
H. Lee, K.C. Slatton, H. Jhee, Detecting Forest Trails Occluded by Dense Canopies Using
ALSM Data, Proc. IEEE International Geoscience and Remote Sensing Symposium
(IGARSS), vol. 5, July 2005, pp. 3587-3590.
* K. C. Slatton, K. Nagarajan, V. Aggarwal, H. Lee, W. E. Carter, R. Shrestha, Multiscale
Estimation of Terrain Complexity Using ALSM Point Data on Variable Resolution Grids,
IAG International Association of Geodesy Symposium: Gravity, Geoid and Space Missions
(GGSM), invited, Aug., 2004, vol. 129, pp. 224-229.
Nonreferred Articles
H. Lee, K. C. Slatton, W. P. Cropper, B. E. Roth, Estimating sunlight penetration of forest
canopies from three-dimensional airborne LiDAR data using field-of-view functions, Forest
Biology Research Cooperative (FBRC), Report no. 42, Jan. 2006.
K.C. Slatton, K. Kampa, and H. Lee, Estimating Leaf Area Index in Forests Using Airborne
Laser Swath Mapping Data, Eos Trans. AGU, 85(47), Fall Meet. Suppl., Abstract H13C-
0445, Dec., 2004.
K.C. Slatton, H. Lee, K. Kampa, K. Nagarajan, V. Aggarwal, Estimation of Optimal
Transportation Paths and Optical Gaps in Forested Terrain, 24th Army Science Conference,
November 29 December 2, 2004.
Presentations
H. Lee, K. C. Slatton, W. P. Cropper, B. E. Roth, Estimation of Forest Structural Parameters
Enabled by Segmenting Individual Trees from Airborne Lidar Point Data, IEEE
International Geoscience and Remote Sensing Symposium (IGARSS), invited, August 2006.
(presented by K. C. Slatton)
Grants
Submitted grant proposal for NASA Earth System Science (ESS) Fellowship program, 2005,
Predictive estimation of forest LAI and gas exchange using fractal growth models and lidar
data not awarded
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Heezin Lee
Service
Reviewer for
IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2006)
Abstracts
Assisted in Reviewing Submissions for
Photogrammetric Engineering and Remote Sensing (PE&RS) January 28, 2008
International Journal of Remote Sensing (IJRS) October 2007
IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2006)
Abstracts
IEEE International Conference on Image Processing (ICIP 2005)
IEEE International Conference on Acoustics, Speech, and Signal Processing
(ICASSP 2004)
IEEE International Conference on Image Processing (ICIP 2004)
President, Korean Student Association (SU-SKKU KSA), Syracuse University,
Syracuse, NY, 1998-1999
Workshops
NASA VEG3D & BIOMASS Workshop (Science and Measurement
Requirements for Future Spaceborne Missions) March 3-5, 2008.
Charlottesville, VA.
NCALM (National Center for Airborne Laser Mapping) Steering Committee
Meeting June 10-12, 2007. St. Augustine FL.
NCALM (National Center for Airborne Laser Mapping) Steering Committee
Meeting May 31 - June 2, 2006. St. Augustine FL.
Teaching Experience
Guest Lecturer on Graduate Courses
CCE 6516 / EEL 5934 Airborne Laser Scanning: Data Processing and Analysis,
Fall 2006
CGN 6905 / EEL 5934 Airborne Sensors and Instrumentation (Remote Sensing),
Spring 2005
Teaching Assistant
EEL 6825 Pattern Recognition, Spring 2007
EEL 6617 Multivariable Control, Spring 2003
ELE 232 Principles & Applications of Electrical Engineering, Spring 2000
ELE 551 Communication Systems, Fall 1999
Computer Skills
Operating systems: Windows 9x/2000/XP
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Heezin Lee
Software / Simulation tools: MS-Office, Adobe Photoshop, Adobe ImageReady,
MATLAB, Mathematica, Surfer, CADENCE (circuit simulation and layout tools),
Realm Survey Suite (ALSM data processing), POSPac (ALSM data processing),
ArcGIS
References
Available upon request
Contact this candidate