Assistant Computer Science

' *$* ** ****

* *

EDUCATION

o Rice University, Houston, TX

Ph.D. in Electrical and Computer Engineering (expected Summer 2012)

? Thesis title: Adaptive Similarity Measures for Material Identification in Hyperspec

tral Imagery

? Ad visor: ErzsEb et MerEn yi (Research Professor, Rice Univ. Dept. of Statistics)

? NAS A Tech n ical Ad visor: Kiri Wagstaff (S en ior Researcher, NASA JPL)

? Coursework: random processes, statistical signal processing, machine learning,

artificial neural

networks and information theory, functional analysis

o Purdue University, West Lafayette, IN

Master of Science in Computer Science

? Coursework: artificial intelligence, graphics, visualization, algorithms, programming

la nguages,

operating systems, numerical analysis, computational geometry, remote sensing

? Degree received May 2006

o Augsburg College, Minneapolis, MN

Bachelor of Science in Computer Science / Bachelor of Arts in Mathematics

? GPA Overall: 3.6, CS: 3.8, Math 3.5

? Graduated with Distinction May 2003

HONORS

o NASA Board Award, NASA Tech Brief Award, NTR no. 46691: Quantification of Trace

Chemicals Using Vehicle Cabin Atmosphere Monitor, awarded to S. Lee, L. Mandrake, B.

Bue, and B. Bornstein . (Apr. 2009)

o NASA Board Award, NASA Tech Brief Award, NTR no. 46563: Adaptation of the

AMDIS Method to Flight Status on the VCAM Instrument for ISS Installation in an

Autonomous Manner, awarded to L. Mandrake, B. Bue, S. Lee, and B. Bornstein. (F eb.

2008)

o NASA Graduate Student Researchers Program Fellowship (Aug. 2007-Au g. 2010)

o TX Space Grant Fellowship (title only, Aug. 2007-May 2008)

o Rice University First-year Graduate Fellowship (Aug. 2007-May 2008)

o Purdue University Space Shuttle Memorial Fund scholarship (Sep. 2005-May 2006)

o Rice University Engineering Dean s Travel Grant (Aug. 2009, Jun. 2010, Jun. 2011 )

o NSF Computer Science, Engineering and Mathematics scholarship (Sep. 2001-May 2003)

o Augsburg Computer Science departmental h onors (May 2003)

' 1$2 34 5775

8 9 (Sep. 2000-May 2003)

o Augsburg Legacy scholarship (Sep. 2000)

o Augsburg Regents scholarship (Sep. 2000)

JOURNAL ARTICLES

RESEARCH EXPERIENCE

o Jet Propulsion Lab, California Institute of Technology, Machine Learning Systems and

Instrum ent Autonom y group: Research Programmer / Associate member of the Technical

Staff.

Developed algorithms and software in support of NASA -based research and missions,

including the

following projects:

- Hii-Hat Hyp ersp ectral An alysis Toolkit: Developed adaptive similarity measures for

hyperspectral

imagery to be integrated in an IDL/ENVI toolkit for superpixel -based hyperspectral image

analysis.

(http://hyperspectral.jpl.nasa.gov )

- Veh icle Cab in Atmosp h eric Mon itor (VCAM): Implemented and evaluated mass spectral

matching

algorithms for analyzing gas chromatography/mass spectrometry data onboard the

International

Space Station. Implemented a r esou rce-con strain ed version of th e NIS T AMD IS

' 1$2 34 5775

8 9 Jul. 2006Present, currently on academic leave)

o Research assistant - Hurricane Risk Assessment and Design of Evacuation Policies:

Worked with an interdisciplinary team of computer scientists, civil engineers and

political scientists to

assess risk of property damage in the event of a hurricane for the Houston area. Employed

geospatial

data mining techniques to develop a model of "engineering risk" based on simulated flood,

storm surge,

and wind parameters, combined with current housing appraisal data. Performed statistical

analysis of

the engineering risk model in comparison to several pho ne survey datasets for approx.

500k properties.

(

Fall 2008, Summer 2009

)

o

Research assistant - Purdue University Rendering and Perceptualization Lab : Developed

Tablet and PocketPC software for task adaptable information display intended to be used

by training,

maintenance and emergency resp on se p erson n el. (Au g. 2005-Jul. 2006)

o Visiting graduate student - Lunar and Planetary Institute : Employed techniques from

computer

vision and integral geometry to extend our landform classification algorithm to perform

automatic crater

cou n tin g an d ch aracterization . (S u mmer 2005)

o Sum m er intern - Lunar and Planetary Institute /NASA Johnson Space Center: Developed

an

unsupervised landform classification application used to characterize Martian

topographical data.

Research involved multispectral image analysis techniques, data mining, and computer

vision.

Performed extensive testing and verification in Mathematica and R. (Summer 2004)

o Research assistant - NSF-ITR Virtual Reality Localization project: Researched methods

to

exp loit visu al cu es for localization in virtu al en viron men ts. D evelop ed a glove

manipulator object in

OpenScene-Graph/C++ to interface with a 5DT wireless data glove and InterSense tracking

system.

(

Summer 2003)

o Independent study project - Beowulf Cluster: Designed and implemented Augsburg's first

Linux -

based x86 Beowulf clu ster. Developed a heterogeneous cluster management system in

Perl/BASH.

Implemented several parallel algorithms using PVM and LAM -MPI. Presented work at the

2003

Au gsb u rg College Research an d S ch olarsh ip fair, May 2003. (S p rin g 2003)

o Research assistant - Automatic Geophysical Observatories project: Developed

multithreaded,

time-critical ap p lication s in C++ th at measu re in put from search coil magn

etometers cu rren tly

positioned in the Arctic Circle. Ai ded in the installation of an unmanned data

acquisition system in

Sondrestrom, Greenland. Presented work at the 13th annual undergraduate research

symposium at

Argon n e Nation al Lab oratories, Argon n e IL, an d at th e 1st an n u al NS F CS EMS u

n d ergrad u ate

research seminar at Augsburg Coll ege, Min n eap olis, MN. (May 2002-Au g. 2003)

o Sum m er internship - NSF Research Experience for Undergraduates program: Computer

vision research focused on image analysis for robotic navigation. Developed a composite

landmark

extraction application utilizing least -squares regression techniques.

(

Summer 2001

)

o

Application Engineer - Taxi 2000 Corporation, Fridley, MN: Developed network layout

applications for a personal rapid transit (PRT) system. Maintained and debugged legacy

applications

for translation from VB to C++/C#. Assisted in various Windows and UNIX system

administration

duties. (Mar. 2004 -Jun. 2004

)

'

1$2 34 5775

8 9

TEACHING EXPERIENCE

o Rice University, Houston, TX

? TA: COMP140-Introduction to C omputational Thinking (undergrad CS, Prof. D.

Subramanian)

Responsibilities: Assisting with grading homework and exams, developing course curriculum, assisting

with weekly lab sessions, and giving occasional lectures.

? Grader: COMP540-Machine Learning (graduate level, ECE, Prof. D. Subramanian ), ELEC502-

Artificial Neu ral Networks an d In formation Th eory (graduate level, ECE, Prof. E.

MerEnyi)

Responsibilities: Assisting with grading homework and exams and giving occasional

lectures.

o Purdue University, West L afayette, IN

? TA: C Programming Lab, Compilers: Principles and Practice (both undergrad CS, Prof. D.

Brylow)

? Responsibilities: instruct weekly lab sessions, grade homework and exams.

? Student evaluation scores of 4.4/5.0 for both courses.

ACTIVITIES

o

o ACM Student Member (2002-2003, 2009)

o IE E E Student Mem ber (2009)

o Chair, Augsburg student chapter of the Association for Computi ng Machinery:

Principally

responsible for the creation of Augsburg's chapter. Presided over ACM meetings and guest

lectures.

(Fall 2002 - Spring 2003)

Contact this candidate