Person

Yu Fu

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Related publications (6)

Please note that this is not a complete list of this person’s publications. It includes only semantically relevant works. For a full list, please refer to Infoscience.

Observed coupling between air mass history, secondary growth of nucleation mode particles and aerosol pollution levels in Beijing

François Bianchi, Yu Fu, Jingjing Jiang, Lubna Dada

Atmospheric aerosols have significant effects on the climate and on human health. New particle formation (NPF) is globally an important source of aerosols but its relevance especially towards aerosol mass loadings in highly polluted regions is still contro ...

2022

DIII-D research towards establishing the scientific basis for future fusion reactors

Wilfred Anthony Cooper, Richard Pitts, Olivier Sauter, Stefan Müller, Mario Ludovico Podesta, Francesca Maria Poli, Dongbin Zhao, Gang Yu, Huan Du, Alessandro Bortolon, Alessandro Marinoni, Jeffrey Huang, Sun Hee Kim, Jérôme Guterl, Zhixian Yan, Fang Liu, Terunobu Akiyama, Xin Yang, Wei Wu, Lorenzo Anton-Louis Talà, Federico David Halpern, Gabriele Merlo, Yu Fu, Shouguo Wang, Sung Chul Park, Xi Chen, Tzu-Hsien Shen, Bingying Zhao, Kyungjin Kim, Ji Hyun Kim, Yi Wang, Hui Wang, Zheng Wang

DIII-D research is addressing critical challenges in preparation for ITER and the next generation of fusion devices through focusing on plasma physics fundamentals that underpin key fusion goals, understanding the interaction of disparate core and boundary ...

IOP Publishing Ltd2019

GABA Signaling Promotes Synapse Elimination and Axon Pruning in Developing Cortical Inhibitory Interneurons

Graham Knott, Yu Fu

Accumulating evidence indicates that GABA acts beyond inhibitory synaptic transmission and regulates the development of inhibitory synapses in the vertebrate brain, but the underlying cellular mechanism is not well understood. We have combined live imaging ...

2012

People doing similar research (32)

Roberto Castello is a senior scientist and group leader at the EPFL Laboratory of Solar Energy and Building Physics. Physicist by training, he has extensive experience in collecting, classifying and interpreting large datasets using advanced data mining techniques and statistical methods. He received his MSc (2007) in Particle Physics and PhD (2010) in Physics and Astrophysics from the University of Torino. He worked as a postdoctoral researcher at the Belgian National Research Fund (2011-2014) and at the CERN Experimental Physics Department (2015-2017) as a research fellow and data scientist. He is primary author of more than 20 peer-reviewed publications and he presented at major international conferences in the high energy physics domain. In 2018 he joined the Solar Energy and Building Physics Laboratory (LESO-PB) to work on data mining and Machine Learning techniques for the built environment and renewable energy. His main research interests are: spatio-temporal modeling of renewable energy potential, energy consumption forecasting techniques, anomaly detection, and computer vision techniques for automated classification in the built environment. He leads the group of Urban Data Mining, Intelligence and Simulation at LESO-PB and he is a member of the NRP75 Big Data project (HyEnergy) of the Swiss National Science Foundation. He is a member of the Swiss Competence Centre for Energy Research (SCCER) and deputy leader of the working group on Leveraging Ubiquitous Energy Data. He has served as a scientific committee member, workshop organizer and speaker at international conferences (ICAE 2020, Applied Machine Learning Days 2019 and 2020, CISBAT 2019 and 2021 and SDS2020). Since 2017 he is member of the Geneva 2030 Ecosystem network, promoting the United Nations agenda towards the realization of the Sustainable Development Goals (SDGs).

Alessandro Degano

Xin Chen

Yiming Li