/Check out The Recipients of 2021 Research Scholar Program (via Qpute.com)
Research Scholar Program

Check out The Recipients of 2021 Research Scholar Program (via Qpute.com)

by Apoorva Bellapu
April 15, 2021

Research Scholar Program

It was in March 2020 that Google had come up with the ‘Research Scholar Program’. This was an effort to encourage the formation of long-term relationships with the academic community. In November, it opened inaugural call for proposals for this program. This garnered attention from everywhere across the globe in the areas of computer science, including machine learning, human-computer interaction, health research, systems and more.

Today, the company takes pride in announcing the recipients of the ‘Research Scholar Program’. Here’s the list of the same in prominent areas of excellence.

1. Algorithms and Optimization

  • Alexandros Psomas, Purdue University (Auction Theory Beyond Independent, Quasi-Linear Bidders)
  • Mary Wootters, Stanford University (The Role of Redundancy in Algorithm Design)
  • Pravesh K. Kothari, Carnegie Mellon University (Efficient Algorithms for Robust Machine learning)
  • Julian Shun, Massachusetts Institute of Technology (Scalable Parallel Subgraph Finding and Peeling Algorithms)
  • Sepehr Assadi, Rutgers University (Graph Clustering at Scale via Improved Massively Parallel Algorithms)

2. Augmented Reality and Virtual Reality

  • Srinath Sridhar, Brown University (Perception and Generation of Interactive Objects)

3. Human Computer Interaction

  • Arvind Satyanarayan, Massachusetts Institute of Technology (Generating Semantically Rich Natural Language Captions for Data Visualizations to Promote Accessibility)
  • Misha Sra, University of California, Santa Barbara (Hands-free Game Controller for Quadriplegic Individuals)
  • Mohsen Mosleh, University of Exeter Business School (Effective Strategies to Debunk False Claims on Social Media: A large-scale digital field experiments approach)
  • Dina El-Zanfaly, Carnegie Mellon University (In-the-making: An intelligence mediated collaboration system for creative practices)
  • Katharina Reinecke, University of Washington (Providing Science-Backed Answers to Health-related Questions in Google Search)
  • Tanushree Mitra, University of Washington (Supporting Scalable Value-Sensitive Fact-Checking through Human-AI Intelligence)

4. Health Research

  • Catarina Barata, Instituto Superior Técnico, University of Lisbon (DeepMutation – A CNN Model To Predict Genetic Mutations In Melanoma Patients)
  • Emma Pierson, Cornell Tech, the Jacobs Institute, Technion-Israel Institute of Technology, and Cornell University (Using cell phone mobility data to reduce inequality and improve public health)
  • Jasmine Jones, Berea College (Reachout: Co-Designing Social Connection Technologies for Isolated Young Adults)
  • Mojtaba Golzan, University of Technology Sydney, Jack Phu, University of New South Wales (Autonomous Grading of Dynamic Blood Vessel Markers in the Eye using Deep Learning)
  • Serena Yeung, Stanford University (Artificial Intelligence Analysis of Surgical Technique in the Operating Room)

5. Machine Learning and Data Mining

  • Aravindan Vijayaraghavan, Northwestern University, Sivaraman Balakrishnan, Carnegie Mellon University (Principled Approaches for Learning with Test-time Robustness)
  • Cho-Jui Hsieh, University of California, Los Angeles (Scalability and Tunability for Neural network Optimizers)
  • Golnoosh Farnadi, University of Montreal, HEC Montreal/MILA (Addressing Algorithmic Fairness in Decision-focused Deep Learning)
  • Harrie Oosterhuis, Radboud University (Search and Recommendation Systems that Learn from Diverse User Preferences)
  • Jimmy Ba, University of Toronto (Model-based Reinforcement Learning with Causal World Models)
  • Nadav Cohen, Tel-Aviv University (A Dynamical Theory of Deep Learning)
  • Nihar Shah, Carnegie Mellon University (Addressing Unfairness in Distributed Human Decisions)
  • Nima Fazeli, University of Michigan (Semi-Implicit Methods for Deformable Object Manipulation)
  • Qingyao Ai, University of Utah (Metric-agnostic Ranking Optimization)
  • Stefanie Jegelka, Massachusetts Institute of Technology (Generalization of Graph Neural networks under Distribution Shifts)
  • Virginia Smith, Carnegie Mellon University (A Multi-Task Approach for Trustworthy Federated Learning)

6. Natural Language Processing

  • Eunsol Choi, University of Texas at Austin (Answering Information Seeking Questions In The Wild)
  • Mohohlo Samuel Tsoeu, University of Cape Town (Corpora collection and complete natural language processing of isiXhosa, Sesotho and South African Sign languages)
  • Natalia Diaz Rodriguez, University of Granada (Spain) + ENSTA, Institut Polytechnique Paris, Inria. Lorenzo Baraldi, University of Modena and Reggio Emilia (SignNet: Towards democratizing content accessibility for the deaf by aligning multi-modal sign representations)
  • Derry Tanti Wijaya, Boston University, Anietie Andy, University of Pennsylvania (Exploring the evolution of racial biases over time through framing analysis)
  • Kai-Wei Chang, University of California, Los Angeles (Certified Robustness to against language differences in Cross-Lingual Transfer)
  • Danqi Chen, Princeton University ( Improving Training and Inference Efficiency of NLP Models)

7. Privacy

  • Yu-Xiang Wang, University of California, Santa Barbara (   Stronger, Better and More Accessible Differential Privacy with autodp)
  • Foteini Baldimtsi, George Mason University (Improved Single-Use Anonymous Credentials with Private Metabit)

8. Security

  • Elette Boyle, IDC Herzliya, Israel (Cheaper Private Set Intersection via Advances in “Silent OT”)
  • Yu Feng , University of California, Santa Barbara, Yuan Tian, University of Virginia (Exploit Generation Using Reinforcement Learning)
  • Chitchanok Chuengsatiansup and Markus Wagner, University of Adelaide (Automatic Post-Quantum Cryptographic Code Generation and Optimization)
  • Joseph Bonneau, New York University (Zeroizing keys in secure messaging implementations)

9. Machine Perception

  • Vineeth N Balasubramanian, Indian Institute of Technology Hyderabad (Bridging Perspectives of Explainability and Adversarial Robustness)
  • Emanuele Rodolà, Sapienza University of Rome (Fair Geometry: Toward Algorithmic Debiasing in Geometric Deep Learning)
  • Amir Patel, University of Cape Town ( WildPose: 3D Animal Biomechanics in the Field using Multi-Sensor Data Fusion)
  • Minchen Wei, Hong Kong Polytechnic University (Accurate Capture of Perceived Object Colors for Smart Phone Cameras)
  • Mohsen Ali and Izza Aftab, Information Technology University of the Punjab, Pakistan (Is Economics From Afar Domain Generalizable?)
  • Angjoo Kanazawa, University of California, Berkeley (Practical Volumetric Capture of People and Scenes)
  • Xin Yu and Linchao Zhu, University of Technology Sydney (Sign Language Translation in the Wild)

10. Software engineering and Programming Languages

  • Fredrik Kjolstad, Stanford University ( Sparse Tensor Algebra Compilation to Domain-Specific Architectures)
  • Sarah E. Chasins, University of California, Berkeley ( If you break it, you fix it: Synthesizing program transformations so that library maintainers can make breaking changes)
  • Milos Gligoric, University of Texas at Austin (  Adaptive Regression Test Selection)
  • Kelly Blincoe, University of Auckland (Towards more inclusive software engineering practices to retain women in software engineering)

11. Structured Data, Extraction, Semantic Graph, and Database Management

  • Eugene Wu, Columbia University (   Interactive training data debugging for ML analytics)
  • Jingbo Shang, University of California, San Diego (Structuring Massive Text Corpora via Extremely Weak Supervision)
  • Abolfazl Asudeh, University Of Illinois, Chicago (An end-to-end system for detecting cherry-picked trendlines)

12. Quantum Computing

  • Jordi Tura i Brugués, Leiden University (   RAGECLIQ – Randomness Generation with Certification via Limited Quantum Devices)
  • Ashok Ajoy, University of California, Berkeley ( Accelerating NMR spectroscopy with a Quantum Computer)
  • Nathan Wiebe, University of Toronto ( New Frameworks for Quantum Simulation and Machine learning)
  • John Nichol, University of Rochester ( Coherent spin-photon coupling)
  • Shruti Puri, Yale University (   Surface Code Co-Design for Practical Fault-Tolerant Quantum Computing)
  • Philipp Hauke, University of Trento ( ProGauge: Protecting Gauge Symmetry in Quantum Hardware)

13. Other Research Areas

  • John Dickerson, University of Maryland – College Park, Nicholas Mattei, Tulane University ( Fairness and Diversity in Graduate Admissions)
  • Nikolai Matni, University of Pennsylvania ( Robust Learning for Safe Control)
  • Mor Nitzan, Hebrew University (   Learning representations of tissue design principles from single-cell data)

About Author

More info about author

This is a syndicated post. Read the original post at Source link .