Poster and Demo Session

Thursday, November 1, 2018 5:00-7:00 p.m.
Various locations throughout the Paul G. Allen Center

Madrona Prize and People's Choice Award presentation, 7:15-7:45 p.m.
Microsoft Atrium

Join Allen School faculty, students, alumni, and friends for food and drink, a poster session, and research demos throughout the building. Seattle's Madrona Venture Partners has awarded the Madrona Prize for the past thirteen years to students participating in the Allen School's Open House whose research work shows the greatest potential for commercialization. The People's Choice Award, for which attendees vote for their favorite projects, will also be awarded. Please join us at 7:15 p.m. for this year's prize presentation.

2018 Madrona Prize

  • Winner:
     EMBARKER: A hierarchical Bayesian approach empowering big data with prior knowledge for expression marker discovery and its application to Alzheimer’s disease / Safiye Celik, Josh C. Russell, Cezar R. Pestana, Ting-I Lee, Shubhabrata Mukherjee, Paul K. Crane, C. Dirk Keene, Jennifer F. Bobb, Matt Kaeberlein, and Allen School professor Su-In Lee
  • Runner up:
     Puddle: A System for High-Level Microfluidic Programming / Max Willsey, Ashley Stephenson, Chris Takahashi, Pranav Vaid, Bichlien Nguyen, Michal Piszczek, Christine Betts, Sharon Newman, Sarang Joshi , Allen School professor Luis Ceze and Allen School affiliate professor Karin Strauss
  • Runner up:
     Slim: OS Kernel Support for a Low-Overhead Container Overlay Network / Danyang Zhuo, Kaiyuan Zhang, Yibo Zhu, Hongqiang Harry Liu, Matthew Rockett, and Allen School professors Arvind Krishnamurthy and Tom Anderson
  • Runner up:
     Implantable Wireless Brain-Computer Interface / Jared Nakahara, Vaishnavi Ranganathan, Soshi Samejima, Nicholas Tolley, and Chet Moritz, and Allen School professor Joshua R. Smith

    • 2018 People’s Choice Award

    Winner: Exploring Augmented Reality Approaches to Real-Time Captioning: An Autoethnographic Study / Dhruv Jain, Bonnie Chinh, Raja Kushalnagar, HCSE professor Leah Findlater; and Allen School professor Jon Froehlich

    Runner-up: Photo Wake-Up: 3D Character Animation from a Single Photo / Chung-Yi Weng and Allen School professors Brian Curless and Ira Kemelmacher-Shlizerman

    Please check back for updates

    • AR/VR, Graphics, and Vision, Room 291

      • 3D Scene Understanding
        Hamid Izadinia
      • Light Localization
        Edward Zhang, Michael Cohen, Brian Curless
      • Pepper's Cone: an Inexpensive DIY 3D Display
        Xuan Luo & Konstantinos Rematas
      • Photo Wake-Up: 3D Character Animation from a Single Photo
        Chung-Yi Weng, Brian Curless, Ira Kemelmacher-Shlizerman
      • PhotoShape: Photorealistic Materials for Large-Scale Shape Collections
        Keunhong Park
      • Predicting Body Composition from Conventional 2D Photography
        Isaac Tian
      • Socceer on Your Tabletop
        Konstantinos Rematas, Ira Kemelmacher, Brian Curless and Steve Seitz
      • Y-Net: Joint Segmentation and Classification for Diagnosis of Breast Biopsy Images
        Sachin Mehta, Ezgi Mercan, Jamen Bartlett, Donald Weaver, Joann Elmore, and Linda Shapiro

    • Computational Biology / Molecular Information Systems, 2nd floor landing

      • Accurate and time-efficient machine learning models for emergency medicine
        Gabriel Erion, Joe Janizek, Nathan White, and Su-In Lee
      • Avocado: Multi-scale deep tensor factorization learns a latent representation of the human epigenome
        Jacob Schreiber, Timothy Durham, Jeffrey Bilmes, William Noble
      • EMBARKER: A hierarchical Bayesian approach empowering big data with prior knowledge for expression marker discovery and its application to Alzheimer's disease
        Safiye Celik, Josh C. Russell, Cezar R. Pestana, Ting-I Lee, Shubhabrata Mukherjee, Paul K. Crane, C. Dirk Keene, Jennifer F. Bobb, Matt Kaeberlein, Su-In Lee
      • Molecular tagging system with nanopore-orthogonal DNA barcodes
        Katie Doroschak, Karen Zhang, Aishwarya Mandyam, Jeff Nivala, Karin Strauss, Luis Ceze
      • Puddle: A System for High-Level Microfluidic Programming
        Max Willsey, Ashley Stephenson, Chris Takahashi, Pranav Vaid, Bichlien Nguyen, Michal Piszczek, Christine Betts, Sharon Newman, Sarang Joshi, Karin Strauss, and Luis Ceze
      • Random Access in Large-Scale DNA Data Storage
        L. Organick, S. Dumas Ang, Y. Chen, R. Lopez, S. Yekhanin, K. Makarychev, M. Racz, G. Kamath, P. Gopalan, B. Nguyen, C. Takahashi, S. Newman, H. Parker, C. Rashtchian, K. Stewart, G. Gupta, R. Carlson, J. Mulligan, D. Carmean, G. Seelig, L. Ceze, K. Strauss

    • HCI + Accessibility, 4th Floor Landing

      • An Epidemiology-Inspired, Large-Scale Analysis of Mobile App Accessibility
        Anne Spencer Ross, Xioayi Zhang, James Fogarty, Jacob O. Wobbrock
      • Exploring Augmented Reality Approaches to Real-Time Captioning: An Autoethnographic Study
        Dhruv Jain, Bonnie Chinh, Raja Kushalnagar, Leah Findlater, Jon Froehlich
      • Framing Effect: Choice of Slogans Used to Advertise Online Experiments Can Boost Recruitment and Lead to Sample Biases
        Tal August, Nigini Oliveira, Chenhao Tan, Noah Smith, Katharina Reinecke
      • Global Juxtapose: Inspiration for Website Transcreation
        Manuel Nordoff, Tal August, Katharina Reinecke
      • Interactive Visual Exploration of Physical Accessibility (poster + demo)
        Manaswi Saha, Anthony Li, Jeffrey Heer, Jon Froehlich
      • Scout: Mixed-Initiative Exploration of Design Variations through High-Level Design Constraints
        Amanda Swearngin, James Fogarty, Andy Ko

    • ML / AI + Data Science, 5th Floor Landing

      • A data-driven high resolution model of the mouse connectome
        Joseph Knox, Kameron Decker Harris, Nile Graddis, Jennifer Whitesell, Julie Harris, Hongkui Zeng, Eric Shea-Brown, Stefan Mihalas
      • A Smoother Way to Train Structured Prediction Models
        Krishna Pillutla, Vincent Roulet, Sham M. Kakade, Zaid Harchaoui
      • AutoTVM: Learning to Optimize Tensor Programs
        Tianqi Chen, Lianmin Zheng, Eddie Yan, Ziheng Jiang, Thierry Moreau, Luis Ceze, Carlos Guestrin, Arvind Krishnamurthy
      • Beat the Machine: Tools for Creating Datasets
        Lynsey Liu, Gagan Bansal, Jonathan Bragg, and Daniel S. Weld
      • Local Feature Attributions as Building Blocks for Explainable Tree-Based Machine Learning
        Scott Lundberg, Gabe Erion, Hugh Chen, Alex DeGrave, Su-In Lee
      • pair2vec: Compositional Word-Pair Embeddings for Cross-Sentence Inference
        Mandar Joshi, Eunsol Choi, Omer Levy, Daniel S. Weld, Luke Zettlemoyer
      • Physiological Signal Embeddings (PHASE) via Interpretable Stacked Models
        Hugh Chen, Scott Lundberg, Su-In Lee
      • Firing Bandits: Optimizing Crowdfunding
        Lalit Jain, Kevin Jamieson
      • Updates in Human-AI Teams: Understanding and Addressing the Performance/Compatibility Tradeoff
        Gagan Bansal, Besmira Nushi, Ece Kamar, Walter Lasecki, Daniel S. Weld, Eric Horvitz
      • VTA: Open, Modular, Customizable Deep Learning Acceleration Hardware/Software Stack
        Thierry Moreau, Tianqi Chen, Josh Fromm, Luis Vega, Lianmin Zhang, Eddie Yan, Luis Ceze, Carlos Guestrin, Arvind Krishnamurthy

    • Computer Systems / Systems & Networking / Architecture / PLSE, CSE 591

      • Approximating Fair Queueing on Reconfigurable Switches
        Naveen Kr. Sharma, Ming Liu, Kishore Atreya and Arvind Krishnamurthy
      • Experiences Trying out C with Bounds Safety
        Anna Kornfeld Simpson (University of Washington), Prabhu Karthikeyan Rajasekaran (UC Irvine), Andrew Ruef (University of Maryland), David Tarditi (Microsoft)
      • Pegasus: Load-Aware Selective Replication with an In-Network Coherence Directory
        Jialin Li, Jacob Nelson, Xin Jin, Dan R. K. Ports
      • E3: Energy-Efficient Microservices on SmartNIC-Accelerated Servers
        Ming Liu, Simon Peter, Arvind Krishnamurthy, and Phitchaya Mangpo Phothilimthana
      • Slim: OS Kernel Support for a Low-Overhead Container Overlay Network
        Danyang Zhuo, Kaiyuan Zhang, Yibo Zhu, Hongqiang Harry Liu, Matthew Rockett, Arvind Krishnamurthy, Tom Anderson
      • Regularizing Horn Clauses via Strategy Synthesis for Ehrenfeucht–Fraïssé Games
        Remy Wang

    • Ubicomp + Sensor Lab, CSE 691 (Gates Commons)

      • Automated, Unconstrained Rapid Diagnostic Test (RDT) Reader
        Chunjong Park, Alex Mariakakis, Shwetak Patel
      • CapHarvester: A Stick-on Capacitive Energy Harvester Using Stray Electric Field from AC Power Lines
        Manoj Gulati, Farshid Salemi Parizi, Eric Whitmire, Sidhant Gupta, Shwetak Patel
      • CASPER: Capacitive Serendipitous Power Transfer for Through-Body Charging of Multiple Wearable Devices
        Edward J Wang, Manuja Sharma, Yiran Zhao, Shwetak Patel
      • High-Fidelity Interaction for Virtual and Augmented Reality
        Eric Whitmire, Shwetak Patel
      • Heterogeneous Bitwidth Binarization in Convolutional Neural Networks
        Josh Fromm, Shwetak Patel, Matthai Philipose
      • Implantable wireless brain-computer interface
        Jared Nakahara, Joshua Smith
      • Mobile Sensing for Health and Public Safety
        Alex Mariakakis, Shwetak Patel
      • Seismo: Blood Pressure Monitoring using Built-in Smartphone Accelerometer and Camera
        Edward J. Wang, Junyi Zhu, Mohit Jain, Tien-Jui Lee, Elliot Saba, Lama Nachman, and Shwetak Patel
      • SpiroConfidence: Determining the Validity of Smartphone Based Spirometry Using Machine Learning
        Varun Viswanath, Jake Garrison, Shwetak Patel
      • The UbiComp Lab
        UbiComp Lab

       

    Updated 10/31/2018