Danna Gurari - Boston University

Danna
Gurari
[email protected]
http://cs-people.bu.edu/dgurari/
Last updated on May 26, 2015
Research
Interests
Computer vision, human computation, and medical/biomedical image analysis.
Education
Ph.D. Candidate, Computer Science, Boston University
Topic: Combining Crowd Worker, Algorithm, and Expert Efforts
to Accurately and Efficiently Annotate Images
Advisor: Dr. Margrit Betke
Honors and
Awards
Grants and
Scholarships
2010 - 2015 (expected)
M.S., Computer Science, Washington University
Topic: Harmonic Imaging Using a Mechanical Sector, B-Mode
Ultrasound System
Advisor: Dr. William D. Richard
2004 - 2005
B.S., Biomedical Engineering, Washington University
Minor in Philosophy
Graduated with Cum Laude Honors
2000 - 2005
Researcher Excellence Award
- One of three graduate students selected in the Boston University computer science department
2015
Best Paper Award: Innovative Idea
- [P6] in Publication Section: Conference on Medical Image Computing and Computer Assisted
Intervention (MICCAI): Interactive Medical Image Computation (IMIC) Workshop
2014
Best Paper Award
- [P3] in Publication Section: one of two papers selected among 161 submitted and 75 accepted
papers at Workshop on Applications in Computer Vision (WACV)
2013
Invitation to Global Young Scientists Summit (url)
- One of three students from Boston University’s graduate/post-doctoral researchers selected
and fully-supported to attend a five day, multi-disciplinary summit in Singapore to hear talks
from 13 Nobel Laureates, 3 Fields Medal awardees, and a Millennium Technology prize winner.
2014
Ford Foundation Fellowship Honorable Mention (url)
2011
National Science Foundation Grant IIS-1421943: $370,151
Title: Using Humans in the Loop to Collect High-quality Annotations from Images and
Time-lapse Videos of Cells
PI: Margrit Betke
Role: Contributed to formulating the ideas, designing the budget, writing the grant
proposal, and running preliminary studies; the funding is supporting my research
assistant position for the remainder of my PhD program.
2014-2017
Collective Intelligence Attendance Grant: $1,500
2015
AAAI Human Computation (HCOMP) Attendance Grant: $575
2014
Page 1 of 6
Danna Gurari – Curriculum Vitae
Professional
Experience
Florence W. Moe Memorial Scholarship: $69,200
2000-2003
Dean’s Scholarship: $20,000
2000-2004
Merit-Based Scholarship (Anonymous Donor): $20,000
2000-2004
Software Developer/Project Manager/Education Lead, Boulder Imaging
2007 - 2010
• Integrated support for data capture and settings control for various devices (e.g.,
cameras, lights) and developed algorithms to analyze image content
• Created a project management program and managed a 6-person team while overseeing 30+ custom project deliveries
• Developed curriculum and materials for training customers and employees; provided training through video recordings and in class lessons
Software Engineer, Raytheon
• Created scripts to monitor and manage the health of processes running on multiple
Unix environments for different versions of the system software
• Developed an application to convert satellite data from HDF5 to its native format
Peer-Reviewed
[P10] D. Gurari, M. Sameki, Z. Wu and M. Betke.
“Hybrid AlgorithmPublications
Crowdsourcing System Mimics Expert Behavior and Efficiently Finds Object
Boundaries in Images.” ACM Transactions on Intelligent Systems and Technology, 20 pages, 2015. [Under Review].
[P9] M. Sameki, D. Gurari, and M. Betke. “Characterizing Image Segmentation
Behavior of the Crowd.” Collective Intelligence, 4 pages, June 2015.
[P8] D. Gurari, D. Theriault, M. Sameki, B. Isenberg, T. A. Pham, A. Purwada, P.
Solski, M. Walker, C. Zhang, J. Y. Wong, and M. Betke. “How to Collect Segmentations for Biomedical Images? A Benchmark Evaluating the Performance
of Experts, Crowdsourced Non-Experts, and Algorithms.” Winter conference
on Applications in Computer Vision (WACV), 1169-1176, 2015.
[P7] D. Gurari. “Combining the Efforts of Humans and Computers to Reliably and
Inexpensively Extract High Quality Spatio-Temporal Information About Cells
in Videos.” Conference on Human Computation & Crowdsourcing (HCOMP):
Doctoral Consortium, 5 pages, 2014.
[P6] D. Gurari, D. Theriault, M. Sameki, and M. Betke. “How to Use Level
Set Methods to Accurately Find Boundaries of Cells in Biomedical Images?
Evaluation of Six Methods Paired with Automated and Crowdsourced Initial
Contours.” The Interactive Medical Image Computation Workshop (MICCAI
IMIC), 9 pages, 2014. Best Paper Award for Innovative Idea.
[P5] D. Gurari, D. Theriault, and M. Betke. “Informed Segmentation: A Framework for Using Context to Select an Algorithm and a Case Study Using Humans
in the Loop.” The Interactive Medical Image Computation Workshop (MICCAI
IMIC), 9 pages, 2014.
[P4] S. K. Kim, D. Gurari, C. Yang, C. D. Hartman, M. Jacobsen, J. Y. Wong, and
M. Betke. “I’mCell: A Touch Pad Tool for Annotating Cell Images.” Biomedical
Signal Analysis (BSA): 3-D Imaging in Medicine, Florianopolis, Brazil, 3 pages,
2014.
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Danna Gurari – Curriculum Vitae
2005 - 2007
[P3] D. Gurari, S. K. Kim, E. Yang, B. Eisenberg, T. A. Pham, A. Purwada, P.
Solski, M. Walker, J. Y. Wong, and M. Betke. “ SAGE: An Approach and Implementation Empowering Quick and Reliable Quantitative Analysis of Segmentation Quality.” In Workshop on Applications in Computer Vision (WACV), pp.
475-481, 2013. Best Paper Award.
[P2] Z. Wu, D. Gurari, J. Y. Wong, and M. Betke. “Hierarchical Partial Matching and Segmentation of Interacting Cells.” In Medical Image Computing and
Computer Assisted Intervention (MICCAI), pp. 389–396, 2012.
[P1] B. Kim, D. Gurari, H. O’Donnell, and M. Betke. “Interactive Art System
for Multiple Users Based on Tracking Hand Movements.” IADIS International
Conference Interfaces and Human Computer Interaction (IHCI), 8 pages, 2011.
Thesis
D. Gurari. Harmonic Imaging Using a Mechanical Sector, B-Mode Ultrasound
System. Master’s Thesis, Washington University Department of Computer Science,
August 2005.
Presentations
Technical Oral Presentations
[OP11] University of Texas at Austin, Computer Vision Group, “Combining Crowd
Worker, Algorithm, and Expert Efforts to Accurately and Efficiently Annotate
Images.” Austin, Texas, April, 2015.
[OP10] Massachusetts Institute of Technology (MIT), Media Lab, Camera Culture Group, “Combining Crowd Worker, Algorithm, and Expert Efforts to
Accurately and Efficiently Annotate Images.” Boston, Massachusetts, March,
2015.
[OP9] Winter Conference on Applications in Computer Vision (WACV),
“How to Collect Segmentations for Biomedical Images? A Benchmark Evaluating the Performance of Experts, Crowdsourced Non-Experts, and Algorithms,”
Waikoloa Beach, HI, January 2015.
[OP8] Massachusetts Institute of Technology (MIT), Computer Science and
Artificial Intelligence Laboratory, Computer Vision Group, “How to Utilize
Crowdsourced Humans and Computers to Efficiently Collect Accurate Boundaries of Objects in Images?” Boston, Massachusetts, December, 2014.
[OP7] AAAI Conference on Human Computation & Crowdsourcing
(HCOMP), “Combining the Efforts of Humans and Computers to Reliably
and Inexpensively Extract High Quality Spatio-Temporal Information About
Cells in Videos,” Pittsburgh, PA, November, 2014.
[OP6] Massachusetts Institute of Technology (MIT), Computer Science and
Artificial Intelligence Laboratory, Computer Graphics Group, “How to Utilize
Crowdsourcing and Algorithms to Efficiently Collect Accurate Boundaries of
Objects in Images?” Boston, Massachusetts, October, 2014.
[OP5] The Interactive Medical Image Computation Workshop (MICCAI
IMIC), “Informed Segmentation: A Framework for Using Context to Select
an Algorithm and a Case Study Using Humans in the Loop,” Boston, Massachusetts, September, 2014.
[OP4] Workshop on Applications in Computer Vision (WACV), “SAGE: An
Approach and Implementation Empowering Quick and Reliable Quantitative
Analysis of Segmentation Quality,” Clearwater, Florida, January, 2013.
Page 3 of 6
Danna Gurari – Curriculum Vitae
[OP3] Istituto Italiano di Tecnologia (IIT), Pattern Analysis and Computer Vision Department, “Segmentation of Interacting Cells”, Genova, Italy, September, 2012.
[OP2] Boston University (BU), Image and Video Computing Group, “Segmentation of Interacting Cells,” Boston, Massachusetts, April, 2012.
[OP1] IADIS International Conference Interfaces and Human Computer
Interaction, “Interactive Art System for Multiple Users Based on Tracking
Hand Movements,” Rome, Italy, July, 2011.
Poster Presentations
[PP3] British Machine Vision Conference (BMVC), “Harmonic Variance: A
Novel Measure for In-focus Segmentation,” Paper presentation on behalf of
authors Feng Li and Fatih Porikli, Bristol, United Kingdom, September 2013.
[PP2] British Machine Vision Conference (BMVC), “Online Motion Agreement
Tracking,” Paper presentation on behalf of authors Zheng Wu, Jianming Zhang,
and Margrit Betke, Bristol, United Kingdom, September 2013.
[PP1] Medical Image Computing and Computer Assisted Intervention
(MICCAI), “Hierarchical Partial Matching and Segmentation of Interacting
Cells,” Nice, France, October, 2012.
Outreach
[O3] Boston University, “Introduction to Computer Vision,” Four presentations to
female high school students from the Boston community, The Artemis Project,
MA, USA, July 2014, July 2013, June 2012, and July 2011.
[O2] Boston University, “Automated Cell Tracking,” Presentation to first year
BU undergraduate students, Kern Leadership Workshop, MA, USA, September,
2011.
[O1] Boston University, “How to Find and Win a Fellowship,” Presentation to
undergraduate and first year graduate science and engineering female students,
Graduate Women In Science and Engineering Seminar, MA, USA, September,
2011.
Teaching
Experience
Guest Lecturer, Boston University
Course: Image and Video Computing, graduate level, ∼20 students
Role: Created and taught two 1.5 hour lectures about the topics Image
Segmentation and Contour Tracking.
Spring 2014
Teaching Fellow, Boston University
Course: Introduction to Internet Technologies and Web Programming,
undergraduate level, 82 students
Overall rating (for 3 lab sessions): (4.67/5; 4.38/5; 4.33/5)
Role: Taught three lab sessions; held office hours; contributed to writing
homeworks, lab assignments, and solutions; graded final projects.
Spring 2014
Teaching Fellow, Boston University
Course: Image and Video Computing, graduate level, ∼20 students/semester
Overall rating (both semesters): 4.6/5
Role: Held office hours; wrote lab assignments, written homeworks, and
exam questions; graded assignments; wrote homework and exam
solutions.
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Danna Gurari – Curriculum Vitae
Spring 2011; Fall 2011
Education Lead, Boulder Imaging
Topics: High performance cameras; Video standards; High performance digital video
recording systems; Image processing and analysis.
Role: Created curriculum and materials for training employees and customers (in-class
and video)
Mentoring
PhD Student Research Mentor
Mehrnoosh Sameki
Mentored to design, develop, and evaluate crowdsourcing systems to segment
and track objects observed in images and videos. This work was recognized
in publications [P10], [P9], [P8], and [P6].
Master Student Research Mentor
Seule Ki Kim
Mentored to design and develop two software systems for obtaining reliable
segmentation annotations, run human subject studies using both systems,
analyze the results, and publish the findings. This work was recognized in
publications [P4], [P3], and a Master’s thesis.
Undergraduate Student Research Mentor
Zach Bogart
Mentored to develop an on-line human user interaction tool using the python
web framework django and to perform significance testing to analyze study
results.
April 2014 - Present
June 2012 - May 2013
Summer 2014
Tatiana Schmidt
Mentored to develop an on-line detection annotation tool and a software
system that aligns multiple image sequences showing the same biological
process.
January 2013 - July 2013
Eugene Yang
Mentored to develop and analyze methods for fusing multiple segmentations
and evaluating segmentation quality. This work was recognized in publication
[P3].
Summer 2012
High School Student Research Mentor
Christopher Hung
Mentored to analyze existing gamification projects and design an on-line
game for collecting segmentation annotations.
MeToMeToo, www.metometoo.com
My twin sister and I publish online about resources we use while developing
academic careers with the larger goal of establishing a centralized resource
for those pursuing similar careers. Our articles to date have reached an
international audience with over 2,100 views.
Professional
Activities
2008-2010
Peer Review
ACM Transactions on Intelligent Systems and Technology (ACM TIST)
Computer Vision and Image Understanding (CVIU)
Winter Conference on Applications of Computer Vision (WACV)
Neurocomputing (with Advisor)
Computer Vision and Pattern Recognition (with Advisor)
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Danna Gurari – Curriculum Vitae
Summer 2013
2011 - Present
2015
2015
2014
2012
2012
Leadership
Image and Video Computing Group, Seminar Series Coordinator
Graduate Women in Science & Engineering, Professional Development Chair
Habitat for Humanity, Proposal Chair
Alpha Phi Omega Service Fraternity, Board Member
2011 - Present
2011 - 2013
2003
2002 - 2003
Memberships
Association for Women in Science (AWIS)
Institute of Electrical and Electronic Engineers (IEEE)
Association for Computing Machinery (ACM)
Graduate Women in Science & Engineering (GWISE)
2011
2010
2010
2010
Extracurricular
Activities
Outdoors Activities (hiking, mountain biking, camping, etc.)
Samba Dancing, Performer
Capoeira, Member, Treasurer, Assistant Instructor
Runner, Columbus Marathon, Cincinnati Marathon
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Danna Gurari – Curriculum Vitae
-
Present
Present
Present
Present
2008 - 2011
2003 - 2008, 2012 - 2013
1994 - Present