activity
20212023
most citedFuture of Smart Classroom in the Era of Wearable Neurotechnology

2 citations · 4 across the 6 of their papers we have counts for

collaborators

6 papers

cs.LG20232 cited

BeliefPPG: Uncertainty-aware Heart Rate Estimation from PPG signals via Belief Propagation

Valentin Bieri, Paul Streli, Berken Utku Demirel +1

We present a novel learning-based method that achieves state-of-the-art performance on several heart rate estimation benchmarks extracted from photoplethysmography signals (PPG). W…

eess.SP2022

Neural Contextual Bandits Based Dynamic Sensor Selection for Low-Power Body-Area Networks

Berken Utku Demirel, Luke Chen, Mohammad Abdullah Al Faruque

Providing health monitoring devices with machine intelligence is important for enabling automatic mobile healthcare applications. However, this brings additional challenges due to…

cs.HC20212 cited

Future of Smart Classroom in the Era of Wearable Neurotechnology

Mojtaba Taherisadr, Berken Utku Demirel, Mohammad Abdullah Al Faruque +1

Interdisciplinary research among engineering, computer science, and neuroscience to understand and utilize the human brain signals resulted in advances and widespread applicability…

eess.SP2021

Energy-efficient Blood Pressure Monitoring based on Single-site Photoplethysmogram on Wearable Devices

Wenrui Lin, Berken Utku Demirel, Mohammad Abdullah Al Faruque +1

The paper proposes accurate Blood Pressure Monitoring (BPM) based on a single-site Photoplethysmographic (PPG) sensor and provides an energy-efficient solution on edge cuffless wea…

eess.SP2021

Single-Channel EEG Based Arousal Level Estimation Using Multitaper Spectrum Estimation at Low-Power Wearable Devices

Berken Utku Demirel, Ivan Skelin, Haoxin Zhang +2

This paper proposes a novel lightweight method using the multitaper power spectrum to estimate arousal levels at wearable devices. We show that the spectral slope (1/f) of the elec…

cs.LG2021

LENS: Layer Distribution Enabled Neural Architecture Search in Edge-Cloud Hierarchies

Mohanad Odema, Nafiul Rashid, Berken Utku Demirel +1

Edge-Cloud hierarchical systems employing intelligence through Deep Neural Networks (DNNs) endure the dilemma of workload distribution within them. Previous solutions proposed to d…