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07/04/2023
ZotCare: A Flexible, Personalizable, and Affordable mHealth Service Provider
The proliferation of Internet-connected health devices and the widesprea...
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04/28/2023
Active Reinforcement Learning for Personalized Stress Monitoring in Everyday Settings
Most existing sensor-based monitoring frameworks presume that a large av...
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10/08/2022
Demand Layering for Real-Time DNN Inference with Minimized Memory Usage
When executing a deep neural network (DNN), its model parameters are loa...
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08/04/2022
Edge-centric Optimization of Multi-modal ML-driven eHealth Applications
Smart eHealth applications deliver personalized and preventive digital h...
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08/01/2022
Efficient Personalized Learning for Wearable Health Applications using HyperDimensional Computing
Health monitoring applications increasingly rely on machine learning tec...
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02/21/2022
Hybrid Learning for Orchestrating Deep Learning Inference in Multi-user Edge-cloud Networks
Deep-learning-based intelligent services have become prevalent in cyber-...
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02/21/2022
Online Learning for Orchestration of Inference in Multi-User End-Edge-Cloud Networks
Deep-learning-based intelligent services have become prevalent in cyber-...
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01/26/2022
Objective Prediction of Tomorrow's Affect Using Multi-Modal Physiological Data and Personal Chronicles: A Study of Monitoring College Student Well-being in 2020
Monitoring and understanding affective states are important aspects of h...
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01/24/2022
Novel Blood Pressure Waveform Reconstruction from Photoplethysmography using Cycle Generative Adversarial Networks
Continuous monitoring of blood pressure (BP)can help individuals manage ...
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12/13/2021
AMSER: Adaptive Multi-modal Sensing for Energy Efficient and Resilient eHealth Systems
eHealth systems deliver critical digital healthcare and wellness service...
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08/02/2021
Data Collection and Labeling of Real-Time IoT-Enabled Bio-Signals in Everyday Settings for Mental Health Improvement
Real-time physiological data collection and analysis play a central role...
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07/31/2021
Personalized Stress Monitoring using Wearable Sensors in Everyday Settings
Since stress contributes to a broad range of mental and physical health ...
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07/23/2021
MARS: Middleware for Adaptive Reflective Computer Systems
Self-adaptive approaches for runtime resource management of manycore com...
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06/03/2021
Energy-Efficient Adaptive System Reconfiguration for Dynamic Deadlines in Autonomous Driving
The increasing computing demands of autonomous driving applications make...
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05/04/2021
NeuroXplorer 1.0: An Extensible Framework for Architectural Exploration with Spiking Neural Networks
Recently, both industry and academia have proposed many different neurom...
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03/09/2021
Endurance-Aware Mapping of Spiking Neural Networks to Neuromorphic Hardware
Neuromorphic computing systems are embracing memristors to implement hig...
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12/15/2020
Personal Mental Health Navigator: Harnessing the Power of Data, Personal Models, and Health Cybernetics to Promote Psychological Well-being
Traditionally, the regime of mental healthcare has followed an episodic ...
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11/17/2020
AXES: Approximation Manager for Emerging Memory Architectures
Memory approximation techniques are commonly limited in scope, targeting...
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11/12/2020
Detection of COVID-19 Using Heart Rate and Blood Pressure: Lessons Learned from Patients with ARDS
The world has been affected by COVID-19 coronavirus. At the time of this...
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09/19/2020
Enabling Resource-Aware Mapping of Spiking Neural Networks via Spatial Decomposition
With growing model complexity, mapping Spiking Neural Network (SNN)-base...
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08/10/2020
Trustworthy AI Inference Systems: An Industry Research View
In this work, we provide an industry research view for approaching the d...
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07/31/2020
Intelligent Management of Mobile Systems through Computational Self-Awareness
Runtime resource management for many-core systems is increasingly comple...
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07/27/2020
The Causality Inference of Public Interest in Restaurants and Bars on COVID-19 Daily Cases in the US: A Google Trends Analysis
The COVID-19 coronavirus pandemic has affected virtually every region of...
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05/04/2020
GSR Analysis for Stress: Development and Validation of an Open Source Tool for Noisy Naturalistic GSR Data
The stress detection problem is receiving great attention in related res...
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11/01/2019
A Framework to Explore Workload-Specific Performance and Lifetime Trade-offs in Neuromorphic Computing
Neuromorphic hardware with non-volatile memory (NVM) can implement machi...
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09/04/2019
Mapping Spiking Neural Networks to Neuromorphic Hardware
Neuromorphic hardware platforms implement biological neurons and synapse...
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07/27/2019
Optimizing Energy Efficiency of Wearable Sensors Using Fog-assisted Control
Recent advances in the Internet of Things (IoT) technologies have enable...
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07/02/2019
The Information Processing Factory: Organization, Terminology, and Definitions
The Information Processing Factory (IPF) project has recently introduced...
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09/29/2017
Neural and Synaptic Array Transceiver: A Brain-Inspired Computing Framework for Embedded Learning
Embedded, continual learning for autonomous and adaptive behavior is a k...
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07/18/2017
