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EECS Rising Stars 2021

EECS Rising Stars 2021

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Author: Jane Halpern

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Participant

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

September 7, 2021October 5, 2021Jane Halpern
Participant

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

September 7, 2021October 12, 2021Jane Halpern
Participant

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

September 7, 2021October 5, 2021Jane Halpern
Participant

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

September 7, 2021October 5, 2021Jane Halpern
Participant

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

September 6, 2021October 5, 2021Jane Halpern
Participant

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

September 6, 2021October 5, 2021Jane Halpern
Participant

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

September 5, 2021October 5, 2021Jane Halpern
Participant

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

September 4, 2021October 5, 2021Jane Halpern
Participant

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

September 4, 2021October 5, 2021Jane Halpern
Participant

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

September 3, 2021October 5, 2021Jane Halpern

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