News

Paper accepted to TBioCAS

Paper accepted to ICASSP

Our work on ML-based detection of tremor in Parkinson’s disease has been accepted for publication in Clinical Neurophysiology. Congratulations Lin!

Our paper on “Cost-Efficient Classification for Neurological Disease Detection” has been accepted for a Lecture presentation at BioCAS 2019 in Nara, Japan. Congratulations Bingzhao!

We will present our work on ML-based motor decoding for minimally-invasive ECoG-BMIs at the SfN 2019 in Chicago and Asilomar 2019

Two papers accepted to the Asilomar Conference on Signals, Systems and Computers. Congratulations Lin and Bingzhao!

Our paper on migraine state classification published in Cephalalgia is now available online

Paper accepted to NeuroImage. Congratulations Lin!

Received the Google Faculty Research Award 2019 for research in Machine Learning and Data Mining

Our work on non-invasive classification of migraine in collaboration with IRCCS in Rome has been accepted for publication in Cephalalgia! Congratulations Bingzhao!

Our EPFL team was ranked 2nd among 808 teams in the Women in Data Science Datathon (WiDS21), Stanford, 2021https://www.widsconference.org/datathon.html

New paper published in IEEE TBioCAS, 2021

New paper published in IEEE TCAS-II, 2021

Paper accepted to IEEE A-SSCC, 2021

Our work on mental fatigue prediction in Traumatic Brain Injury was published in Journal of Neural Engineering, 2021

Co-chaired the IEEE CICC Forum on “Human Brain-Machine Interface” together with Prof. Jerald Yoo from the National University of Singapore

Served as Award Chair and Associate Editor for the IEEE NER conference 2021

Serving as Guest Editor for Current Opinion in Biotechnology

Paper on transfer learning for seizure detection presented at the IEEE NER 2021

Invited paper on Edge AI for Brain Implants presented at the IEEE International Conference on Electronics, Circuits, and Systems (ICECS) 2021

Our recent work on ResOT: Resource-Efficient Oblique Trees for Neural Signal Classification has been accepted to the IEEE Transactions on Biomedical Circuits and Systems (TBioCAS). Congratulations Bingzhao!

Our work on ML-based detection of tremor for Parkinson’s disease has been published in Clinical Neurophysiology. Congratulations Lin!

Received the Google Faculty Research Award 2019 for research in Machine Learning and Data Mining

I will chair the Emerging Technology Session at CICC 2020, on Energy-Efficient Wearable, Implantable, and IoT Devices

Our work on traumatic brain injury in collaboration with Weill Cornell Medicine has been accepted to ICASSP 2020

Our paper on “Cost-Efficient Classification for Neurological Disease Detection” has been accepted for a Lecture presentation at BioCAS 2019 in Nara, Japan. Congratulations Bingzhao!

We will present our work on ML-based motor decoding for minimally-invasive ECoG-BMIs at the SfN 2019 in Chicago and Asilomar 2019

Two papers accepted to the Asilomar Conference on Signals, Systems and Computers. Congratulations Lin and Bingzhao!

Our paper on migraine classification published in Cephalalgia journal is now available online

Paper accepted to NeuroImage. Congratulations Lin!

Paper accepted to NER’19

Poster presented at the International Symposium on Translational Research in Brain Stimulation 2018 in Shanghai

Two abstracts accepted to the IEEE Brain Initiative Workshop on Advanced NeuroTechnologies in San Diego, Nov 2018

I will be serving on the technical committee of the IEEE CICC’19. Submit your best papers!

I will be co-chairing a Special Session on “On-chip machine learning design & applications” at BioCAS 2018

Lin receives one of the three International Travel Awards to attend the Symposium on Translational Research in Brain Stimulation, Sep 2018

Paper accepted for presentation at BioCAS’18, and BioCAS’18 Travel Award for Lin Yao

Paper accepted for publication in the IEEE Transactions on Circuits and Systems I: Regular Papers (TCAS-I) 2018

Paper accepted for publication in the IEEE Journal on Emerging and Selected Topics in Circuits and Systems (JETCAS) 2018

Paper accepted for presentation at ICASSP’18

Paper accepted for presentation at EMBC’18