Credit: Jose-Luis Olivares/MIT

Ph.D. Student, MIT EECS, MIT CSAIL

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elg (at) mit.edu | Curriculum Vitae

Featured Project

OverCode is a system for visualizing and exploring thousands of solutions to a programming problem. OverCode uses both static and dynamic analysis to cluster similar solutions, and lets instructors further filter and cluster solutions based on different criteria.

News, Travel & Talks

I regularly participate in the following Association for Computing Machinery (ACM) conferences:

CHI: ACM Conference on Human Factors in Computing Systems
UIST: ACM Symposium on User Interface Software and Technology
CSCW: ACM Conference on Computer-Supported Cooperative Work and Social Computing
L@S: ACM Conference on Learning at Scale

Upcoming

Nov '15 Attending the Rising Stars Workshop for aspiring female faculty, MIT
Nov '15 Presenting Foobaz @ UIST
Nov '15 Seminar speaker @ Duke University
Feb '16 Presenting learnersourcing personalized hints @ CSCW

Recent

July '15 Stanford HCI seminar speaker
June '15 CSAIL Industry Affiliates Annual Meeting poster presenter
May '15 HarvardX colloquium speaker
April '15 Attending CHI, presenting
- OverCode and
- Mudslide (Best of CHI Honorable Mention)
Mar '15 Attending CSCW
Mar '15 Attending Learning@Scale (L@S), presenting a poster on engineering education at scale

Papers

Journal Papers

Elena L. Glassman, Jeremy Scott, Rishabh Singh, Philip J. Guo, and Robert C. Miller. OverCode: Visualizing Variation in Student Solutions to Programming Problems at Scale. Online Learning at Scale Special Issue of the ACM Transactions on Computer-Human Interaction (ACM TOCHI), in press.
Elena L. Glassman. A wavelet-like filter based on neuron action potentials for analysis of human scalp electroencephalographs. IEEE Transactions on Biomedical Engineering 52, no. 11 (2005).

Conference Publications

Elena L. Glassman, Aaron Lin, Carrie J. Cai, and Robert C. Miller. Learnersourcing Personalized Hints. To appear in CSCW '16.
Elena L. Glassman, Lyla Fischer, Jeremy Scott, and Robert C. Miller. Foobaz: Variable Name Feedback for Student Code at Scale. To appear in UIST '15.
Elena L. Glassman, Juho Kim, Andrés Monroy-Hernández, and Meredith Ringel Morris. Mudslide: A Spatially Anchored Census of Student Confusion for Online Lecture Videos. CHI 2015, in press. (Best of CHI Honorable Mention)
Juho Kim, Elena L. Glassman, Andrés Monroy-Hernández, and Meredith Ringel Morris. RIMES: Embedding Interactive Multimedia Exercises in Lecture Videos. CHI 2015, in press.
Elena L. Glassman, Ned Gulley, and Robert C. Miller. Toward Facilitating Assistance to Students Attempting Engineering Design Problems. In Proceedings of the Ninth Annual International Conference on International Computing Education Research (ICER), 2013. ACM, New York, NY, USA.

Elena L. Glassman, Alexis Lussier Desbiens, Mark Tobenkin, Mark Cutkosky, and Russ Tedrake. Region of attraction estimation for a perching aircraft: A Lyapunov method exploiting barrier certificates. In Proceedings of the 2012 IEEE International Conference on Robotics and Automation (ICRA), 2012.
Elena L. Glassman and Russ Tedrake. A quadratic regulator-based heuristic for rapidly exploring state space. In Proceedings of the International Conference on Robotics and Automation (ICRA), 2010.

Technical Reports

Been Kim, Elena Glassman, Brittney Johnson, and Julie Shah. iBCM: Interactive Bayesian Case Model Empowering Humans via Intuitive Interaction. MIT CSAIL TR-2015-010, April 1, 2015.

Thesis

Elena L. Glassman. A quadratic regulator-based heuristic for rapidly exploring state space. Thesis (M.Eng.). MIT Dept. of Electrical Engineering and Computer Science, 2010.

Recognition

Selected Press

MIT News "Reviewing online homework at scale" March '15, chosen as the MIT homepage Spotlight story
The New York Times "Not Too Young for a Patent"
Profiled with fellow Intel ISEF winners in Science Magazine Rising Stars (30 May 2003), Science 300 (5624), 1368d.
CNN's Lou Dobbs Tonight, profiled in the segment "America's Bright Future" [transcript]
CNN's American Morning, Guest [transcript]
Interviewed on Reddit's Upvoted podcast with Jean Yang and Neha Narula. Chosen as one of the A.V. Club's best podcasts of the week.
Co-authored WIRED opinion piece: MIT Computer Scientists Demonstrate the Hard Way That Gender Still Matters with Jean Yang and Neha Narula

Fellowships and Selected Scholarships

Amar Bose Teaching Fellowship, awarded to 3 nominated teaching assistants across MIT.
NSF Graduate Research Fellowship
National Defense Science and Engineering Graduate (NDSEG) Fellowship
Intel Foundation Young Scientist Award ($50,000), given to the top 3 out of 1300 projects at Intel International Science and Engineering Fair (ISEF).
IEEE President's Scholarship

Awards

Honorable Mention Award, ACM CHI 2015. Among the top 5% of all submissions.
MIT EECS Dept. Masterworks Oral Thesis Presentation Award
Inducted into the MIT chapter of Eta Kappa Nu, a national EECS honor society
Inducted into the National Gallery for America's Young Inventors

Positions

Human-computer interaction, learning@scale, computer science edu.

@MIT CSAIL
I am an EECS Ph.D. candidate in the User Interface Design group advised by Rob Miller.
@Google
Dan Russell and I built a system for helping users not just search, but also learn with Google Books [in submission].
@Microsoft Research
I worked on a system for translating the MuddyCard technique to online lecture videos with Meredith Ringel Morris and Andrés Monroy-Hernández. The work received an Honorable Mention Award at ACM CHI '15.
@Jerusalem
I was an instructor and am now the Student President of MIT-MEET, which teaches gifted Israelis and Palestinians computer science and teamwork.

Underactuated robotics

@Stanford
I was a visiting researcher at the Biomimetics and Dexterous Manipulation Lab working on control systems for birdlike flying robots.
@MIT CSAIL
I completed my M.Eng. in the Robot Locomotion Group and received the MIT EECS Dept. Masterworks Oral Thesis Presentation Award.

Biomedical signal processing and pattern recognition

@MIT CSAIL
I was an undergraduate researcher in John Guttag's research group, where I created and published a novel algorithm for processing EEGs, and later helped file a patent application on the technology.
@Princeton
I wrote a single-author IEEE journal article with the mentorship of Jack Gelfand, based on my Intel ISEF project, which shared the top award with 2/1300 other projects.

Papers

Recognition

Positions

Service

Fun