Danna Gurari - Boston University
Transcription
Danna Gurari - Boston University
Danna Gurari dgurari@cs.bu.edu 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. Page 2 of 6 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. Page 4 of 6 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) Page 5 of 6 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 Page 6 of 6 Danna Gurari – Curriculum Vitae - Present Present Present Present 2008 - 2011 2003 - 2008, 2012 - 2013 1994 - Present