Maria Antoniak, Cornell University: “Modeling Personal Experiences Shared in Online Communities” Juncal Arbelaiz, MIT: “Distributed Kalman Filters for Spatially-invariant Systems: Trade-offs Between Performance and Architecture” Nivedita Arora, Georgia Institute of Technology: “Internet of Interactive Computational Materials” Shaimaa Azzam, UC Santa Barbara: “Photonic Interfaces for Two-dimensional Quantum Materials” Andrea Victoria Bajcsy, UC Berkeley: “Bridging Safety and Learning in Human-Robot Interaction” Suguman Bansal, University of Pennsylvania: “Assured Autonomy : A Formal Approach” Maria Bauza Villalonga, MIT: “Precise generalization: how to make robotic manipulation scalable and reliable” Syrine Belakaria, Washington State University: “Output Space Entropy Search Framework for Multi-Objective Bayesian Optimization” Jessica Boles, MIT: “Piezoelectrics as a New Frontier for Miniaturizing Power Electronics” Elizabeth Bondi, Harvard University: “Imagery and Strategic Reasoning: Making Decisions in Conservation and Sustainability with Imperfect Data” Maria Brbic, Stanford University: “Bridging labeled and unlabeled data in biomedicine” Beidi Chen, Stanford University: “Algorithms and Frameworks for Efficient Neural Network Training” Xinyun Chen, UC Berkeley: “Deep Learning for Program Synthesis from Diverse Specifications” Xianyi Cheng, Carnegie Mellon University: “Bringing Human-level Dexterity into Robotic Manipulation” Samantha Coday, UC Berkeley: “Efficient and Light-weight Multilevel Power Converters for Hybrid Electric Aircraft” A. Feder Cooper, Cornell University: “(MC)^3: An Empirical Argument for Massively Capable MCMC” Katherine Cordwell, Carnegie Mellon University: “Towards Practical Provably Correct Algorithms for Real Quantifier Elimination” Vidushi Dadu, UCLA: “Towards General Purpose Acceleration: Finding Structure in Irregularity” Maitraye Das, Northwestern University: “Augmenting Ability-Diverse Collaboration: Designing for Accessible Collaborative Content Creation by People with Vision Impairments” Emily Diana, University of Pennsylvania: “Multiaccurate Proxies for Downstream Fairness” Griffin Dietz, Stanford University: “Cognitively Appropriate and Readily Accessible Computing Education Technologies for Young Learners” Kate Donahue, Cornell University: “Fairness, efficiency, and uncertainty in societal resource allocation models” Priya Donti, Carnegie Mellon University: “Incorporating Power System Physics into Deep Learning via Implicit Layers” Lin Du, UC Berkeley: “Implantable Biomedical Systems to Restore Daily Activities for Paralyzed People” Yaqi Duan, Princeton University: “Minimax-Optimal Off-Policy Evaluation with Linear Function Approximation” Aline Eid, Georgia Tech: “Could 5G Wirelessly Power IoT Devices?” Saadia Gabriel, University of Washington: “Probing Implications of News Headlines” Aishwarya Ganesan, VMware: “Observably Consistent and Performant Distributed Systems” Sijia Geng, University of Michigan: “Safety and Stability of Future Smart Grids: Managing Uncertainties of Distributed Energy Resources” Mor Geva Pipek, Tel Aviv University: “Robust and Interpretable Machine Reasoning Over Text” Zahra Ghodsi, UCSD: “Secure Frameworks for Outsourced Deep Learning” Neha Gupta, Stanford University: “Theoretical approaches to machine learning challenges” Bahareh Hadidian, University of Michigan: “High-Data-Rate and Energy-Efficient Wireless Transmitters for Beyond 5G Communication Networks” Bahar Haghighat, Harvard University: “Miniaturized Robotic Swarms for Sensing, Surveying, and Inspection” Nasimeh Heydaribeni, University of Michigan: “Analysis and Design of Information Transmission in Networks of Strategic Agents” Anwar Hithnawi, ETH Zurich : “Cryptographic Enforcement of End-to-End Data Privacy” Megan Hofman, Carnegie Mellon University: “A Framework for Producing Clinical CAD Tools with Generative Design” Mengdi Huai, University of Virginia: “Fostering Trustworthiness in Machine Learning Algorithms” Daphne Eden Ippolito, University of Pennsylvania: “Deduplicating Training Data Makes Language Models Better” Shailee Jain, University of Texas Austin: “Using NLP Systems to Investigate Language Processing in the Human Brain” Shalmali Joshi, Harvard University: “Towards Safe, Robust and Reliable Machine Learning for Healthcare” Eunice Jun, University of Washington: “Principles and Interactive Systems for Authoring Valid Statistical Analyses” Shamya Karumbaiah, University of Pennsylvania: “The Upstream Sources of Bias: Investigating Theory, Design, and Methods Shaping Adaptive Systems in Education” Qi Lei, Princeton University: “Provable Representation Learning: The Importance of Task Diversity and Pretext Tasks” Hanlin Li, Northwestern University: “Improving Labor Transparency in Social Computing Systems” Jiaoyang Li, University of Southern California: “Large-Scale Multi-Agent Coordination” Mei-Yun Lin, University of Illinois Urbana-Champaign: “Unravel the Atmospheric Escape of Heavy Ions from the Polar Wind” Lydia Tingruo Liu, UC Berkeley: “Designing distributive learning algorithms for the societal good” Quanquan Liu, MIT: “Scalable and Efficient Graph Algorithms for Modern Machines” Wenxin Liu, University of Pennsylvania: “Using deep learning for state estimation in a Bayesian framework” Xihui Liu, UC Berkeley: “From Perception to Imagination: Vision-Language Cross-Modal Understanding and Generation” Sujaya Anantha Maiyya, UCÂ Santa Barbara: “Managing data in both trusted and untrusted infrastructures” Christine McGinn, Columbia University: “Role of Nanoparticle Composites in Active Devices” Sabrina J. Mielke, Johns Hopkins University: “What Kind of Language Is Hard to Language-Model?” Samira Mirbagher Ajorpaz, UC San Diego: “Microarchitectural Prediction for Performance and Security” Trisha Mittal, University of Maryland College Park: “Towards Holistic Emotion Perception with Applications in Social Media Analysis, Accessibility, and Multimedia Recommendation” Faidra Monachou, Stanford University: “Discrimination, diversity, and information in selection problems” Michal Moshkovitz, Tel-Aviv University: “Foundations of Explainable Machine learning” Yuval Moskovitch, University of Michigan: “Towards Reliable Data-Driven Decision Tools” Mahta Mousavi, Technische Universitat Berlin: “Evaluation of EEG-based functional connectivity measures through simulations of whole-brain dynamics” Chandrakana Nandi, University of Washington Seattle: “Programming Language Tools and Techniques for Computational Fabrication” Sabrina Neuman, Harvard University: “Robomorphic Computing: A Design Methodology for Domain-Specific Accelerators Parameterized by Robot Morphology” Amy Elizabeth Ousterhout, UC Berkeley: “Efficient Scheduling Policies for Microsecond-Scale Tasks” Srilakshmi Pattabiraman, University of Illinois Urbana-Champaign: “Coding for Polymer and DNA Based Storage” Lillian Pentecost, Harvard University: “NVMExplorer: A Framework for Cross-Stack Comparisons of Embedded Non-Volatile Memories” Yamuna Phal, University of Illinois Urbana-Champaign: “Emerging Techniques in Infrared Imaging” Yao Qin, Google: “Understanding and Improving Robustness in Machine Learning Models” Giorgia Ramponi, ETH Zurich: “Multi-agent RL: Truly batch model-free Inverse Reinforcement Learning about multiple intentions” Anshuka Rangi, Amazon: “Understanding the Limits of Poisoning Attacks in Multi-Armed Bandits and Reinforcement Learning” Paria Rashidinejad, UC Berkeley: “Bridging Offline Reinforcement Learning and Imitation Learning: A Tale of Pessimism” Amrita Roy Chowdhury, University of Wisconsin-Madison: “Differential Privacy and Cryptography – A Symbiotic Relationship” Luana Ruiz, University of Pennsylvania: “Machine Learning on Large-Scale Graphs” Liyue Shen, Stanford University: “Exploiting Prior Knowledge in Physical World Incorporated with Machine Learning for Solving Medical Imaging Problems” Yuhan Shi, UCSD: “Neuro-inspired Computing using Resistive Memory Devices” Tal Shnitzer, MIT: “Multi-modal and Temporal Data Analysis with Diffusion Operators” Kaitlin Nicole Smith, University of Chicago: “Decoherence Mitigation in Quantum Computers through Instruction Scheduling” Mansi Sood, Carnegie Mellon University: “Heterogeneous models for designing resilient topologies and controlling spreading phenomena in real-world networks” Ana-Andreea Stoica, Columbia University: “Diversity and inequality in social networks” Jina Suh, University of Washington/Microsoft Research: “Designing Mental Health and Wellbeing Interventions through Computational and Contextual Understanding” Tianqi Tang, UC Santa Barbara: “Hardware Modeling & Efficient Architectural Exploration for Machine Learning Accelerator Design” Maribel Torres-Velazquez, UW-Madison: “Multi-channel Deep Learning Networks as an Advanced Modeling Technique in Improving Epilepsy Workup” Jingbo Wang, University of Southern California: “Enhancing Software Security via Scalable Verification and Program Synthesis Techniques” Stephanie Wang, UC Berkeley: “A Distributed Memory Layer for General-Purpose Execution” Amanda Watson, University of Pennsylvania: “Computation of Human Performance” Melanie Weber, University of Oxford: “Geometric Methods for Machine Learning and Optimization” Alycen Wiacek, Johns Hopkins University: “Coherence-based Learning from Raw Ultrasound Data for Breast Mass Diagnosis” Kristin Williams, Carnegie Mellon University: “An Upcycled IoT: Reducing the Financial and Social Costs of Adopting New Computing through Lightweight Modification of Everyday Objects” Qian Zhang, UCLA: “Reinventing Software Developer Tools for Heterogeneous Computing Paradigm” Jieyu Zhao, UCLA: “Understanding and Intervening on Societal Biases in Natural Language Processing”
