Student Paper Competition Finalists

Please join us in congratulating the Finalists selected for the 2018 EMBS Student Paper Competition!

The Finalists will present their papers in special judging sessions on Wednesday 18, July, 2018
The winners will be announced at the Keynote on Thursday 19, July, 2018

Best of luck to all in the final phase of the competition!

Geographic Finalists: 

North America:
Sina Miran
University of Maryland, College Park
Real-Time Decoding of Auditory Attention from EEG via Bayesian Filtering

Beatrice Barra
University of Fribourg
Selective Recruitment of Arm Motoneurons in Nonhuman Primates Using Epidural Electrical Stimulation of the Cervical Spinal Cord

Middle East-Africa: 
Mohamed A.Bahloul
King Abdullah University of Science and Technology
Three-Element Fractional-Order Viscoelastic Arterial Windkessel Model

Seongyeon Kim
Korea Advanced Institute of Science and Technology (KAIST) 
Improved Target Specificity of Transcranial Focused Ultrasound Stimulation (TFUS) Using Double-Crossed Ultrasound Transducers

South America: 
Lucas Fonseca
Universidade de Brasília
Investigating Upper Limb Movement Classification on Users with Tetraplegia as a Possible Neuroprosthesis Interface

Open Finalists:

Michael Langenmair
Universitätsklinikum Freiburg
Low Temperature Approach for High Density Electrical Feedthroughs for Neural Implants Using Maskless Fabrication Techniques

Christine F Martindale
Friedrich-Alexander-Universität Erlangen-Nürnberg
Mobile Gait Analysis Using Personalised Hidden Markov Models for Hereditary Spastic Paraplegia Patients

Nil Zeynep Gurel
Georgia Institute of Technology 
Unobtrusive Heartbeat Detection from Mice Using Sensors Embedded in the Nest

Dung Phan
Deakin University 
 Effect of Parkinsonism on Proximal Unstructured Movement Captured by Inertial Sensors

Alejandro Azocar
University of Michigan
Perception of Mechanical Impedance During Active Ankle and Knee Movement

Mohammadjavad Eslamian
University of Houston

Direct Measurement of Mass Transport in Actuation of Conducting Polymers Nanotubes

Giulia Gerboni
University of Melbourne 
Cortical Brain Stimulation with Endovascular Electrodes

Chen-Ying Hung
National Tsing Hua University
Improving Young Stroke Prediction by Learning with Active Data Augmenter in a Large-Scale Electronic Medical Claims Database

Enzo Mastinu
Chalmers – University of Technology
Myoelectric Signals and Pattern Recognition from Implanted Electrodes in Two TMR Subjects with an Osseointegrated Communication Interface

Ravikiran Mane
Nanyang Technological University
Quantitative EEG As Biomarkers for the Monitoring of Post-Stroke Motor Recovery in BCI and Tdcs Rehabilitation