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EECS Rising Stars 2021

EECS Rising Stars 2021

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Maria Antoniak, <span style="color:#000;">Cornell University: "Modeling Personal Experiences Shared in Online Communities"</span>

Maria Antoniak, Cornell University: “Modeling Personal Experiences Shared in Online Communities”

Juncal Arbelaiz, <span style="color:#000;">MIT: "Distributed Kalman Filters for Spatially-invariant Systems: Trade-offs Between Performance and Architecture"</span>

Juncal Arbelaiz, MIT: “Distributed Kalman Filters for Spatially-invariant Systems: Trade-offs Between Performance and Architecture”

Nivedita Arora, <span style="color:#000;">Georgia Institute of Technology: "Internet of Interactive Computational Materials"</span>

Nivedita Arora, Georgia Institute of Technology: “Internet of Interactive Computational Materials”

Shaimaa Azzam, <span style="color:#000;">UC Santa Barbara: "Photonic Interfaces for Two-dimensional Quantum Materials"</span>

Shaimaa Azzam, UC Santa Barbara: “Photonic Interfaces for Two-dimensional Quantum Materials”

Andrea Victoria Bajcsy, <span style="color:#000;">UC Berkeley: "Bridging Safety and Learning in Human-Robot Interaction"</span>

Andrea Victoria Bajcsy, UC Berkeley: “Bridging Safety and Learning in Human-Robot Interaction”

Suguman Bansal, <span style="color:#000;">University of Pennsylvania: "Assured Autonomy : A Formal Approach"</span>

Suguman Bansal, University of Pennsylvania: “Assured Autonomy : A Formal Approach”

Maria Bauza Villalonga, <span style="color:#000;">MIT: "Precise generalization: how to make robotic manipulation scalable and reliable"</span>

Maria Bauza Villalonga, MIT: “Precise generalization: how to make robotic manipulation scalable and reliable”

Syrine Belakaria, <span style="color:#000;">Washington State University: "Output Space Entropy Search Framework for Multi-Objective Bayesian Optimization"</span>

Syrine Belakaria, Washington State University: “Output Space Entropy Search Framework for Multi-Objective Bayesian Optimization”

Jessica Boles, <span style="color:#000;">MIT: "Piezoelectrics as a New Frontier for Miniaturizing Power Electronics"</span>

Jessica Boles, MIT: “Piezoelectrics as a New Frontier for Miniaturizing Power Electronics”

Elizabeth Bondi, <span style="color:#000;">Harvard University: "Imagery and Strategic Reasoning: Making Decisions in Conservation and Sustainability with Imperfect Data"</span>

Elizabeth Bondi, Harvard University: “Imagery and Strategic Reasoning: Making Decisions in Conservation and Sustainability with Imperfect Data”

Maria Brbic, <span style="color:#000;">Stanford University: "Bridging labeled and unlabeled data in biomedicine"</span>

Maria Brbic, Stanford University: “Bridging labeled and unlabeled data in biomedicine”

Beidi Chen, <span style="color:#000;">Stanford University: "Algorithms and Frameworks for Efficient Neural Network Training"</span>

Beidi Chen, Stanford University: “Algorithms and Frameworks for Efficient Neural Network Training”

Xinyun Chen, <span style="color:#000;">UC Berkeley: "Deep Learning for Program Synthesis from Diverse Specifications"</span>

Xinyun Chen, UC Berkeley: “Deep Learning for Program Synthesis from Diverse Specifications”

Xianyi Cheng, <span style="color:#000;">Carnegie Mellon University: "Bringing Human-level Dexterity into Robotic Manipulation"</span>

Xianyi Cheng, Carnegie Mellon University: “Bringing Human-level Dexterity into Robotic Manipulation”

Samantha Coday, <span style="color:#000;">UC Berkeley: "Efficient and Light-weight Multilevel Power Converters for Hybrid Electric Aircraft"</span>

Samantha Coday, UC Berkeley: “Efficient and Light-weight Multilevel Power Converters for Hybrid Electric Aircraft”

A. Feder Cooper, <span style="color:#000;">Cornell University: "(MC)^3: An Empirical Argument for Massively Capable MCMC"</span>

A. Feder Cooper, Cornell University: “(MC)^3: An Empirical Argument for Massively Capable MCMC”

Katherine Cordwell, <span style="color:#000;">Carnegie Mellon University: "Towards Practical Provably Correct Algorithms for Real Quantifier Elimination"</span>

Katherine Cordwell, Carnegie Mellon University: “Towards Practical Provably Correct Algorithms for Real Quantifier Elimination”

Vidushi Dadu, <span style="color:#000;">UCLA: "Towards General Purpose Acceleration: Finding Structure in Irregularity"</span>

Vidushi Dadu, UCLA: “Towards General Purpose Acceleration: Finding Structure in Irregularity”

Maitraye Das, <span style="color:#000;">Northwestern University: "Augmenting Ability-Diverse Collaboration: Designing for Accessible Collaborative Content Creation by People with Vision Impairments"</span>

Maitraye Das, Northwestern University: “Augmenting Ability-Diverse Collaboration: Designing for Accessible Collaborative Content Creation by People with Vision Impairments”

Emily Diana, <span style="color:#000;">University of Pennsylvania: "Multiaccurate Proxies for Downstream Fairness"</span>

Emily Diana, University of Pennsylvania: “Multiaccurate Proxies for Downstream Fairness”

Griffin Dietz, <span style="color:#000;">Stanford University: "Cognitively Appropriate and Readily Accessible Computing Education Technologies for Young Learners"</span>

Griffin Dietz, Stanford University: “Cognitively Appropriate and Readily Accessible Computing Education Technologies for Young Learners”

Kate Donahue, <span style="color:#000;">Cornell University: "Fairness, efficiency, and uncertainty in societal resource allocation models"</span>

Kate Donahue, Cornell University: “Fairness, efficiency, and uncertainty in societal resource allocation models”

Priya Donti, <span style="color:#000;">Carnegie Mellon University: "Incorporating Power System Physics into Deep Learning via Implicit Layers"</span>

Priya Donti, Carnegie Mellon University: “Incorporating Power System Physics into Deep Learning via Implicit Layers”

Lin Du, <span style="color:#000;">UC Berkeley: "Implantable Biomedical Systems to Restore Daily Activities for Paralyzed People"</span>

Lin Du, UC Berkeley: “Implantable Biomedical Systems to Restore Daily Activities for Paralyzed People”

Yaqi Duan, <span style="color:#000;">Princeton University: "Minimax-Optimal Off-Policy Evaluation with Linear Function Approximation"</span>

Yaqi Duan, Princeton University: “Minimax-Optimal Off-Policy Evaluation with Linear Function Approximation”

Aline Eid, <span style="color:#000;">Georgia Tech: "Could 5G Wirelessly Power IoT Devices?"</span>

Aline Eid, Georgia Tech: “Could 5G Wirelessly Power IoT Devices?”

Saadia Gabriel, <span style="color:#000;">University of Washington: "Probing Implications of News Headlines"</span>

Saadia Gabriel, University of Washington: “Probing Implications of News Headlines”

Aishwarya Ganesan, <span style="color:#000;">VMware: "Observably Consistent and Performant Distributed Systems"</span>

Aishwarya Ganesan, VMware: “Observably Consistent and Performant Distributed Systems”

Sijia Geng, <span style="color:#000;">University of Michigan: "Safety and Stability of Future Smart Grids: Managing Uncertainties of Distributed Energy Resources"</span>

Sijia Geng, University of Michigan: “Safety and Stability of Future Smart Grids: Managing Uncertainties of Distributed Energy Resources”

Mor Geva Pipek, <span style="color:#000;">Tel Aviv University: "Robust and Interpretable Machine Reasoning Over Text"</span>

Mor Geva Pipek, Tel Aviv University: “Robust and Interpretable Machine Reasoning Over Text”

Zahra Ghodsi, <span style="color:#000;">UCSD: "Secure Frameworks for Outsourced Deep Learning"</span>

Zahra Ghodsi, UCSD: “Secure Frameworks for Outsourced Deep Learning”

Neha Gupta, <span style="color:#000;">Stanford University: "Theoretical approaches to machine learning challenges"</span>

Neha Gupta, Stanford University: “Theoretical approaches to machine learning challenges”

Bahareh Hadidian, <span style="color:#000;">University of Michigan: "High-Data-Rate and Energy-Efficient Wireless Transmitters for Beyond 5G Communication Networks"</span>

Bahareh Hadidian, University of Michigan: “High-Data-Rate and Energy-Efficient Wireless Transmitters for Beyond 5G Communication Networks”

Bahar Haghighat, <span style="color:#000;">Harvard University: "Miniaturized Robotic Swarms for Sensing, Surveying, and Inspection"</span>

Bahar Haghighat, Harvard University: “Miniaturized Robotic Swarms for Sensing, Surveying, and Inspection”

Nasimeh Heydaribeni, <span style="color:#000;">University of Michigan: "Analysis and Design of Information Transmission in Networks of Strategic Agents"</span>

Nasimeh Heydaribeni, University of Michigan: “Analysis and Design of Information Transmission in Networks of Strategic Agents”

Anwar Hithnawi, <span style="color:#000;">ETH Zurich : "Cryptographic Enforcement of End-to-End Data Privacy"</span>

Anwar Hithnawi, ETH Zurich : “Cryptographic Enforcement of End-to-End Data Privacy”

Megan Hofman, <span style="color:#000;">Carnegie Mellon University: "A Framework for Producing Clinical CAD Tools with Generative Design"</span>

Megan Hofman, Carnegie Mellon University: “A Framework for Producing Clinical CAD Tools with Generative Design”

Mengdi Huai, <span style="color:#000;">University of Virginia: "Fostering Trustworthiness in Machine Learning Algorithms"</span>

Mengdi Huai, University of Virginia: “Fostering Trustworthiness in Machine Learning Algorithms”

Daphne Eden Ippolito, <span style="color:#000;">University of Pennsylvania: "Deduplicating Training Data Makes Language Models Better"</span>

Daphne Eden Ippolito, University of Pennsylvania: “Deduplicating Training Data Makes Language Models Better”

Shailee Jain, <span style="color:#000;">University of Texas Austin: "Using NLP Systems to Investigate Language Processing in the Human Brain"</span>

Shailee Jain, University of Texas Austin: “Using NLP Systems to Investigate Language Processing in the Human Brain”

Shalmali Joshi, <span style="color:#000;">Harvard University: "Towards Safe, Robust and Reliable Machine Learning for Healthcare"</span>

Shalmali Joshi, Harvard University: “Towards Safe, Robust and Reliable Machine Learning for Healthcare”

Eunice Jun, <span style="color:#000;">University of Washington: "Principles and Interactive Systems for Authoring Valid Statistical Analyses"</span>

Eunice Jun, University of Washington: “Principles and Interactive Systems for Authoring Valid Statistical Analyses”

Shamya Karumbaiah, <span style="color:#000;">University of Pennsylvania: "The Upstream Sources of Bias: Investigating Theory, Design, and Methods Shaping Adaptive Systems in Education"</span>

Shamya Karumbaiah, University of Pennsylvania: “The Upstream Sources of Bias: Investigating Theory, Design, and Methods Shaping Adaptive Systems in Education”

Qi Lei, <span style="color:#000;">Princeton University: "Provable Representation Learning: The Importance of Task Diversity and Pretext Tasks"</span>

Qi Lei, Princeton University: “Provable Representation Learning: The Importance of Task Diversity and Pretext Tasks”

Hanlin Li, <span style="color:#000;">Northwestern University: "Improving Labor Transparency in Social Computing Systems"</span>

Hanlin Li, Northwestern University: “Improving Labor Transparency in Social Computing Systems”

Jiaoyang Li, <span style="color:#000;">University of Southern California: "Large-Scale Multi-Agent Coordination"</span>

Jiaoyang Li, University of Southern California: “Large-Scale Multi-Agent Coordination”

Mei-Yun Lin, <span style="color:#000;">University of Illinois Urbana-Champaign: "Unravel the Atmospheric Escape of Heavy Ions from the Polar Wind"</span>

Mei-Yun Lin, University of Illinois Urbana-Champaign: “Unravel the Atmospheric Escape of Heavy Ions from the Polar Wind”

Lydia Tingruo Liu, <span style="color:#000;">UC Berkeley: "Designing distributive learning algorithms for the societal good"</span>

Lydia Tingruo Liu, UC Berkeley: “Designing distributive learning algorithms for the societal good”

Quanquan Liu, <span style="color:#000;">MIT: "Scalable and Efficient Graph Algorithms for Modern Machines"</span>

Quanquan Liu, MIT: “Scalable and Efficient Graph Algorithms for Modern Machines”

Wenxin Liu, <span style="color:#000;">University of Pennsylvania: "Using deep learning for state estimation in a Bayesian framework"</span>

Wenxin Liu, University of Pennsylvania: “Using deep learning for state estimation in a Bayesian framework”

Xihui Liu, <span style="color:#000;">UC Berkeley: "From Perception to Imagination: Vision-Language Cross-Modal Understanding and Generation"</span>

Xihui Liu, UC Berkeley: “From Perception to Imagination: Vision-Language Cross-Modal Understanding and Generation”

Sujaya Anantha Maiyya, <span style="color:#000;">UC Santa Barbara: "Managing data in both trusted and untrusted infrastructures"</span>

Sujaya Anantha Maiyya, UC Santa Barbara: “Managing data in both trusted and untrusted infrastructures”

Christine McGinn, <span style="color:#000;">Columbia University: "Role of Nanoparticle Composites in Active Devices"</span>

Christine McGinn, Columbia University: “Role of Nanoparticle Composites in Active Devices”

Sabrina J. Mielke, <span style="color:#000;">Johns Hopkins University: "What Kind of Language Is Hard to Language-Model?"</span>

Sabrina J. Mielke, Johns Hopkins University: “What Kind of Language Is Hard to Language-Model?”

Samira Mirbagher Ajorpaz, <span style="color:#000;">UC San Diego: "Microarchitectural Prediction for Performance and Security"</span>

Samira Mirbagher Ajorpaz, UC San Diego: “Microarchitectural Prediction for Performance and Security”

Trisha Mittal, <span style="color:#000;">University of Maryland College Park: "Towards Holistic Emotion Perception with Applications in Social Media Analysis, Accessibility, and Multimedia Recommendation"</span>

Trisha Mittal, University of Maryland College Park: “Towards Holistic Emotion Perception with Applications in Social Media Analysis, Accessibility, and Multimedia Recommendation”

Faidra Monachou, <span style="color:#000;">Stanford University: "Discrimination, diversity, and information in selection problems"</span>

Faidra Monachou, Stanford University: “Discrimination, diversity, and information in selection problems”

Michal Moshkovitz, <span style="color:#000;">Tel-Aviv University: "Foundations of Explainable Machine learning"</span>

Michal Moshkovitz, Tel-Aviv University: “Foundations of Explainable Machine learning”

Yuval Moskovitch, <span style="color:#000;">University of Michigan: "Towards Reliable Data-Driven Decision Tools"</span>

Yuval Moskovitch, University of Michigan: “Towards Reliable Data-Driven Decision Tools”

Mahta Mousavi, <span style="color:#000;">Technische Universitat Berlin: "Evaluation of EEG-based functional connectivity measures through simulations of whole-brain dynamics"</span>

Mahta Mousavi, Technische Universitat Berlin: “Evaluation of EEG-based functional connectivity measures through simulations of whole-brain dynamics”

Chandrakana	Nandi, <span style="color:#000;">University of Washington Seattle: "Programming Language Tools and Techniques for Computational Fabrication"</span>

Chandrakana Nandi, University of Washington Seattle: “Programming Language Tools and Techniques for Computational Fabrication”

Sabrina Neuman, <span style="color:#000;">Harvard University: "Robomorphic Computing: A Design Methodology for Domain-Specific Accelerators Parameterized by Robot Morphology"</span>

Sabrina Neuman, Harvard University: “Robomorphic Computing: A Design Methodology for Domain-Specific Accelerators Parameterized by Robot Morphology”

Amy Elizabeth Ousterhout, <span style="color:#000;">UC Berkeley: "Efficient Scheduling Policies for Microsecond-Scale Tasks"</span>

Amy Elizabeth Ousterhout, UC Berkeley: “Efficient Scheduling Policies for Microsecond-Scale Tasks”

Srilakshmi Pattabiraman, <span style="color:#000;">University of Illinois Urbana-Champaign: "Coding for Polymer and DNA Based Storage"</span>

Srilakshmi Pattabiraman, University of Illinois Urbana-Champaign: “Coding for Polymer and DNA Based Storage”

Lillian Pentecost, <span style="color:#000;">Harvard University: "NVMExplorer: A Framework for Cross-Stack Comparisons of Embedded Non-Volatile Memories"</span>

Lillian Pentecost, Harvard University: “NVMExplorer: A Framework for Cross-Stack Comparisons of Embedded Non-Volatile Memories”

Yamuna Phal, <span style="color:#000;">University of Illinois Urbana-Champaign: "Emerging Techniques in Infrared Imaging"</span>

Yamuna Phal, University of Illinois Urbana-Champaign: “Emerging Techniques in Infrared Imaging”

Yao Qin, <span style="color:#000;">Google: "Understanding and Improving Robustness in Machine Learning Models"</span>

Yao Qin, Google: “Understanding and Improving Robustness in Machine Learning Models”

Giorgia Ramponi, <span style="color:#000;">ETH Zurich: "Multi-agent RL: Truly batch model-free Inverse Reinforcement Learning about multiple intentions"</span>

Giorgia Ramponi, ETH Zurich: “Multi-agent RL: Truly batch model-free Inverse Reinforcement Learning about multiple intentions”

Anshuka Rangi, <span style="color:#000;">Amazon: "Understanding the Limits of Poisoning Attacks in Multi-Armed Bandits and Reinforcement Learning"</span>

Anshuka Rangi, Amazon: “Understanding the Limits of Poisoning Attacks in Multi-Armed Bandits and Reinforcement Learning”

Paria Rashidinejad, <span style="color:#000;">UC Berkeley: "Bridging Offline Reinforcement Learning and Imitation Learning: A Tale of Pessimism"</span>

Paria Rashidinejad, UC Berkeley: “Bridging Offline Reinforcement Learning and Imitation Learning: A Tale of Pessimism”

Amrita Roy Chowdhury, <span style="color:#000;">University of Wisconsin-Madison: "Differential Privacy and Cryptography - A Symbiotic Relationship"</span>

Amrita Roy Chowdhury, University of Wisconsin-Madison: “Differential Privacy and Cryptography – A Symbiotic Relationship”

Luana Ruiz, <span style="color:#000;">University of Pennsylvania: "Machine Learning on Large-Scale Graphs"</span>

Luana Ruiz, University of Pennsylvania: “Machine Learning on Large-Scale Graphs”

Liyue Shen, <span style="color:#000;">Stanford University: "Exploiting Prior Knowledge in Physical World Incorporated with Machine Learning for Solving Medical Imaging Problems"</span>

Liyue Shen, Stanford University: “Exploiting Prior Knowledge in Physical World Incorporated with Machine Learning for Solving Medical Imaging Problems”

Yuhan Shi, <span style="color:#000;">UCSD: "Neuro-inspired Computing using Resistive Memory Devices"</span>

Yuhan Shi, UCSD: “Neuro-inspired Computing using Resistive Memory Devices”

Tal Shnitzer, <span style="color:#000;">MIT: "Multi-modal and Temporal Data Analysis with Diffusion Operators"</span>

Tal Shnitzer, MIT: “Multi-modal and Temporal Data Analysis with Diffusion Operators”

Kaitlin Nicole Smith, <span style="color:#000;">University of Chicago: "Decoherence Mitigation in Quantum Computers through Instruction Scheduling"</span>

Kaitlin Nicole Smith, University of Chicago: “Decoherence Mitigation in Quantum Computers through Instruction Scheduling”

Mansi Sood, <span style="color:#000;">Carnegie Mellon University: "Heterogeneous models for designing resilient topologies and controlling spreading phenomena in real-world networks"</span>

Mansi Sood, Carnegie Mellon University: “Heterogeneous models for designing resilient topologies and controlling spreading phenomena in real-world networks”

Ana-Andreea Stoica, <span style="color:#000;">Columbia University: "Diversity and inequality in social networks"</span>

Ana-Andreea Stoica, Columbia University: “Diversity and inequality in social networks”

Jina Suh, <span style="color:#000;">University of Washington/Microsoft Research: "Designing Mental Health and Wellbeing Interventions through Computational and Contextual Understanding"</span>

Jina Suh, University of Washington/Microsoft Research: “Designing Mental Health and Wellbeing Interventions through Computational and Contextual Understanding”

Tianqi Tang, <span style="color:#000;">UC Santa Barbara: "Hardware Modeling & Efficient Architectural Exploration for Machine Learning Accelerator Design"</span>

Tianqi Tang, UC Santa Barbara: “Hardware Modeling & Efficient Architectural Exploration for Machine Learning Accelerator Design”

Maribel Torres-Velazquez, <span style="color:#000;">UW-Madison: "Multi-channel Deep Learning Networks as an Advanced Modeling Technique in Improving Epilepsy Workup"</span>

Maribel Torres-Velazquez, UW-Madison: “Multi-channel Deep Learning Networks as an Advanced Modeling Technique in Improving Epilepsy Workup”

Jingbo Wang, <span style="color:#000;">University of Southern California: "Enhancing Software Security via Scalable Verification and Program Synthesis Techniques"</span>

Jingbo Wang, University of Southern California: “Enhancing Software Security via Scalable Verification and Program Synthesis Techniques”

Stephanie Wang, <span style="color:#000;">UC Berkeley: "A Distributed Memory Layer for General-Purpose Execution"</span>

Stephanie Wang, UC Berkeley: “A Distributed Memory Layer for General-Purpose Execution”

Amanda Watson, <span style="color:#000;">University of Pennsylvania: "Computation of Human Performance"</span>

Amanda Watson, University of Pennsylvania: “Computation of Human Performance”

Melanie Weber, <span style="color:#000;">University of Oxford: "Geometric Methods for Machine Learning and Optimization"</span>

Melanie Weber, University of Oxford: “Geometric Methods for Machine Learning and Optimization”

Alycen Wiacek, <span style="color:#000;">Johns Hopkins University: "Coherence-based Learning from Raw Ultrasound Data for Breast Mass Diagnosis"</span>

Alycen Wiacek, Johns Hopkins University: “Coherence-based Learning from Raw Ultrasound Data for Breast Mass Diagnosis”

Kristin Williams, <span style="color:#000;">Carnegie Mellon University: "An Upcycled IoT: Reducing the Financial and Social Costs of Adopting New Computing through Lightweight Modification of Everyday Objects"</span>

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, <span style="color:#000;">UCLA: "Reinventing Software Developer Tools for Heterogeneous Computing Paradigm"</span>

Qian Zhang, UCLA: “Reinventing Software Developer Tools for Heterogeneous Computing Paradigm”

Jieyu Zhao, <span style="color:#000;">UCLA: "Understanding and Intervening on Societal Biases in Natural Language Processing"</span>

Jieyu Zhao, UCLA: “Understanding and Intervening on Societal Biases in Natural Language Processing”

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