Tiantian Feng
Postdoctoral Researcher at University of Southern California
Los Angeles, California, United States
Summary
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Senior🎓
Top SchoolTiantian Feng is a postdoctoral researcher and PhD in Computer Science from USC with nine years of experience at the intersection of multimodal sensing, speech, and human-centered AI. Her research builds trustworthy systems that leverage speech, video, wearable, and textual data to understand behavior while prioritizing privacy, fairness, and federated learning. She has industry research experience from Meta and Amazon and a track record of translating sensor and firmware work into ML-driven solutions from earlier electrical engineering roles. Based in Los Angeles and advised by Prof. Shrikanth Narayanan, she is actively pursuing tenure-track assistant professor positions worldwide. A less obvious strength is her hands-on background in tactile sensor design and wearable data collection, which gives her experimental work a strong systems-to-algorithms perspective.
9 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy (PhD) Computer Science, Doctor of Philosophy (PhD) Computer Science at University of Southern CaliforniaBachelor's degree Instrument Technology, Bachelor's degree Instrument Technology at Nanjing University of Posts and Telecommunications
Github Skills (17)
emotion-recognition9
semi-supervised-learning9
action-recognition9
emotion-detection9
federated-learning8
speech8
transfer-learning6
audio-processing6
speech-recognition5
audio5
multimodal5
machine-learning5
tar1
peft1
eagle1
Programming languages (2)
Github contributions (5)
usc-sail/fed-ser-leakage
Nov 2021 - Dec 2022
Contributions:199 commits, 19 pushes in 1 year 1 month
usc-sail/fed-ser-semi
Feb 2022 - Sep 2022
[INTERSPEECH 2023] Semi-supervised Learning for Speech Emotion Recognition On Federated Learning using Multiview Pseudo-Labeling
Contributions:37 commits, 3 pushes in 6 months
emotion-recognitionfederated-learningsemi-supervised-learningspeech
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