CIFellows Poster Session at NITRD 30th

On May 25th, 2022 the CIFellows were given the opportunity to present their research to the community during a poster session at the NITRD 30th Anniversary Symposium.

Multi-class Multi-modal Misinformation Detection with Concatenation-based Architecture and Variational Autoencoder

Sara Abdali – Georgia Institute of Technology

Distributional Representations and Differentiable Learning for Deformable Objects in Robotics

Rika Antonova – Stanford University

Faster, Better, and Simpler: Learning DAGs via a log-determinant acyclicity characterization

Kevin Bello – University of Chicago

AI+Dance: Co-Designing for Culturally Sustaining AI Education with danceON

Francisco Castro – New York University

NURD: Negative-Unlabeled Learning for Online Datacenter Straggler Prediction

Yi Ding – Massachusetts Institute of Technology

Real World more like Scale Free

Matthew Drescher – University of California, Davis

Robotic Telepresence to Support Remote Classroom Attendance and Interactions

Houda Elmimouni – Indiana University

Programmable Artificial Muscles for Modular Robots and Interactive Systems

Adrianne Fernandes Minori – Carnegie Mellon University

Metam: Goal-oriented data discovery

Sainyam Galhotra – University of Chicago

Specifications can be Wrong

Ben Greenman – Brown University

Robots Enact Malignant Stereotypes

Andrew Hundt – Georgia Institute of Technology

Putting Parameterization into Practice

Shweta Jain – University of Utah

Designing Socio-Culturally Sensitive Sidewalk Autonomous Delivery Robots

Swapna Joshi – University of Massachusetts, Amherst

Constructing Frameworks for Task-Optimized Visualizations

Ghulam Jilani Quadri – University of North Carolina – Chapel Hill

Modern AI with Human-Centered Approach

Rafal Kocielnik – California Institute of Technology

BlockRQA: A Novel Tool for Automatic Pattern Detection Across Multivariate and Mixed-Type Time-Series Data

Taisa Kushner – Oregon Health and Sciences University

Subgoals’ Learning Now, and Then!

Samiha Marwan – University of Nebraska at Omaha

Connecting Cognitive Modeling with Quantum Systems

Raghavendra Pradyumna Pothukuchi – Yale University

Eiffel: Ensuring Integrity for Federated Learning

Amrita Roy Chowdhury – University of California, San Diego

Scheduling and Learning Algorthims for Millimateter-Wave Communication

Gourav Saha – Purdue University

Towards Hardware and AI-assisted Security: A Defense-In-Depth Approach

Soheil Salehi – University of California, Davis

Data Minimization Could Increase Unfairness!

Nasim Sonboli – Tufts University

Safeguarding Private Visual Information

Abigale Stangl – University of Washington

Describing Chemical Dynamics with Quantum Simulators

Jesús Valdiviezo – University of California, Berkeley

Dirigo: Self-scaling Stateful Actors For Serverless Real-time Data Processing

Le Xu – The University of Texas, Austin

Surface Wind Stress Model for Turbulent Flows Above Ocean Surface Waves

Kianoosh Yousefi – Columbia University

Private Sequential Hypothesis Testing for Statisticians: Privacy, Error Rates, and Sample Size

Wanrong Zhang – Harvard University

These were recorded at the Computing Community Consortium (CCC) Symposium on Computing Research, which was supported by the National Science Foundation under Grant No. 1136996. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.