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EECS Rising Stars 2021

EECS Rising Stars 2021

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Participant

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

September 7, 2021October 5, 2021Myung-Hee Vabulas
Participant

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

September 7, 2021October 5, 2021Myung-Hee Vabulas
Participant

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

September 7, 2021October 5, 2021Myung-Hee Vabulas
Participant, Photonics and Quantum Technology

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

September 7, 2021October 5, 2021Jennifer Donath
Participant, Photonics and Quantum Technology

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

September 7, 2021October 5, 2021Jennifer Donath
Participant

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

September 7, 2021October 12, 2021Jane Halpern
Participant

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

September 7, 2021October 5, 2021Myung-Hee Vabulas
Participant

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

September 7, 2021October 5, 2021Jane Halpern
Participant

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

September 7, 2021October 5, 2021Jennifer Donath
Participant

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

September 7, 2021October 5, 2021Jane Halpern

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