Hassan Ghasemzadeh

Orcid: 0000-0002-1844-1416

Affiliations:
  • Washington State University, School of Electrical Engineering and Computer Science, Pullman, WA, USA
  • University of California, Los Angeles, Wireless Health Institute, CA, USA
  • San Diego State University, Biological & Medical Informatics Research Center, CA, USA
  • Gary and Mary West Wireless Health Institute, La Jolla, CA, USA
  • University of Texas at Dallas, Department of Electrical Engineering, Richardson, TX, USA (PhD 2010)


According to our database1, Hassan Ghasemzadeh authored at least 153 papers between 2006 and 2024.

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Bibliography

2024
Inter-Beat Interval Estimation with Tiramisu Model: A Novel Approach with Reduced Error.
ACM Trans. Comput. Heal., January, 2024

Minimum-Cost Sensor Channel Selection For Wearable Computing.
CoRR, 2024

2023
Stress Monitoring in Free-Living Environments.
IEEE J. Biomed. Health Informatics, December, 2023

Model-Agnostic Structural Transfer Learning for Cross-Domain Autonomous Activity Recognition.
Sensors, July, 2023

Personalized Activity Recognition Using Partially Available Target Data.
IEEE Trans. Mob. Comput., 2023

Pandemic Preparedness With Pervasive Computing.
IEEE Pervasive Comput., 2023

Toward Ultra-Low-Power Remote Health Monitoring: An Optimal and Adaptive Compressed Sensing Framework for Activity Recognition.
CoRR, 2023

Designing User-Centric Behavioral Interventions to Prevent Dysglycemia with Novel Counterfactual Explanations.
CoRR, 2023

ActSafe: Predicting Violations of Medical Temporal Constraints for Medication Adherence.
CoRR, 2023

The Scope of In-Context Learning for the Extraction of Medical Temporal Constraints.
Proceedings of the 11th IEEE International Conference on Healthcare Informatics, 2023

GlucoseAssist: Personalized Blood Glucose Level Predictions and Early Dysglycemia Detection.
Proceedings of the 19th IEEE International Conference on Body Sensor Networks, 2023

Neonatal Risk Modeling and Prediction.
Proceedings of the 19th IEEE International Conference on Body Sensor Networks, 2023

Personalized Modeling and Detection of Moments of Cannabis Use in Free-Living Environments.
Proceedings of the 19th IEEE International Conference on Body Sensor Networks, 2023

GlySim: Modeling and Simulating Glycemic Response for Behavioral Lifestyle Interventions.
Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2023

2022
Memory-Aware Active Learning in Mobile Sensing Systems.
IEEE Trans. Mob. Comput., 2022

Continual Learning for Activity Recognition.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Stressalyzer: Convolutional Neural Network Framework for Personalized Stress Classification.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Designing Deep Neural Networks Robust to Sensor Failure in Mobile Health Environments.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Boosting Lying Posture Classification with Transfer Learning.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Computational Framework for Sequential Diet Recommendation: Integrating Linear Optimization and Clinical Domain Knowledge.
Proceedings of the IEEE/ACM Conference on Connected Health: Applications, 2022

Comparing the Predictability of Sensor Modalities to Detect Stress from Wearable Sensor Data.
Proceedings of the 19th IEEE Annual Consumer Communications & Networking Conference, 2022

On-Device Machine Learning for Diagnosis of Parkinson's Disease from Hand Drawn Artifacts.
Proceedings of the IEEE-EMBS International Conference on Wearable and Implantable Body Sensor Networks, 2022

ADARP: A Multi Modal Dataset for Stress and Alcohol Relapse Quantification in Real Life Setting.
Proceedings of the IEEE-EMBS International Conference on Wearable and Implantable Body Sensor Networks, 2022

Multimodal Time-Series Activity Forecasting for Adaptive Lifestyle Intervention Design.
Proceedings of the IEEE-EMBS International Conference on Wearable and Implantable Body Sensor Networks, 2022

Forewarning Postprandial Hyperglycemia with Interpretations using Machine Learning.
Proceedings of the IEEE-EMBS International Conference on Wearable and Implantable Body Sensor Networks, 2022

2021
TransNet: Minimally Supervised Deep Transfer Learning for Dynamic Adaptation of Wearable Systems.
ACM Trans. Design Autom. Electr. Syst., 2021

Stress Classification and Personalization: Getting the most out of the least.
CoRR, 2021

Single Run Action Detector over Video Stream - A Privacy Preserving Approach.
CoRR, 2021

Analysis of Macular Thickness Deviation Maps for Diagnosis of Glaucoma.
Proceedings of the Advances in Visual Computing - 16th International Symposium, 2021

Linear Mode Connectivity in Multitask and Continual Learning.
Proceedings of the 9th International Conference on Learning Representations, 2021

CL-Gym: Full-Featured PyTorch Library for Continual Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020
A Dynamic Programming Framework for DVFS-Based Energy-Efficiency in Multicore Systems.
IEEE Trans. Sustain. Comput., 2020

Robust Interbeat Interval and Heart Rate Variability Estimation Method From Various Morphological Features Using Wearable Sensors.
IEEE J. Biomed. Health Informatics, 2020

Pervasive Lying Posture Tracking.
Sensors, 2020

Transfer Learning for Activity Recognition in Mobile Health.
CoRR, 2020

Personality Assessment from Text for Machine Commonsense Reasoning.
CoRR, 2020

Proximity-Based Active Learning on Streaming Data: A Personalized Eating Moment Recognition.
CoRR, 2020

Adversarial Transferability in Wearable Sensor Systems.
CoRR, 2020

ActiLabel: A Combinatorial Transfer Learning Framework for Activity Recognition.
CoRR, 2020

Understanding the Role of Training Regimes in Continual Learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Proximity-based active learning for eating moment recognition in wearable systems.
Proceedings of the WearSys@MobiSys 2020: Proceedings of the 6th ACM Workshop on Wearable Systems and Applications, 2020

Design and evaluation of a wearable assistive technology for hemianopic stroke patients.
Proceedings of the ISWC '20: 2020 ACM International Symposium on Wearable Computers, 2020

Optimal Policy for Deployment of Machine Learning Models on Energy-Bounded Systems.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Dropout as an Implicit Gating Mechanism For Continual Learning.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Poster: Mobile Health for Alcohol Recovery and Relapse Prevention.
Proceedings of the 5th IEEE/ACM International Conference on Connected Health: Applications, 2020

Improved Knowledge Distillation via Teacher Assistant.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Share-n-Learn: A Framework for Sharing Activity Recognition Models in Wearable Systems With Context-Varying Sensors.
ACM Trans. Design Autom. Electr. Syst., 2019

Toward Ultra-Low-Power Remote Health Monitoring: An Optimal and Adaptive Compressed Sensing Framework for Activity Recognition.
IEEE Trans. Mob. Comput., 2019

Human-in-the-loop Learning for Personalized Diet Monitoring from Unstructured Mobile Data.
ACM Trans. Interact. Intell. Syst., 2019

Big vs little core for energy-efficient Hadoop computing.
J. Parallel Distributed Comput., 2019

Advances in multi-sensor fusion for body sensor networks: Algorithms, architectures, and applications.
Inf. Fusion, 2019

Improved Knowledge Distillation via Teacher Assistant: Bridging the Gap Between Student and Teacher.
CoRR, 2019

Resource-Efficient Computing in Wearable Systems.
Proceedings of the IEEE International Conference on Smart Computing, 2019

Mindful Active Learning.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

ECoST: Energy-Efficient Co-Locating and Self-Tuning MapReduce Applications.
Proceedings of the 48th International Conference on Parallel Processing, 2019

Adar: Adversarial Activity Recognition in Wearables.
Proceedings of the International Conference on Computer-Aided Design, 2019

Resource-Efficient Wearable Computing for Real-Time Reconfigurable Machine Learning: A Cascading Binary Classification.
Proceedings of the 16th IEEE International Conference on Wearable and Implantable Body Sensor Networks, 2019

LabelForest: Non-Parametric Semi-Supervised Learning for Activity Recognition.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Trading Off Power Consumption and Prediction Performance in Wearable Motion Sensors: An Optimal and Real-Time Approach.
ACM Trans. Design Autom. Electr. Syst., 2018

Autonomous Training of Activity Recognition Algorithms in Mobile Sensors: A Transfer Learning Approach in Context-Invariant Views.
IEEE Trans. Mob. Comput., 2018

Speech2Health: A Mobile Framework for Monitoring Dietary Composition From Spoken Data.
IEEE J. Biomed. Health Informatics, 2018

Impact of Cache Voltage Scaling on Energy-Time Pareto Frontier in Multicore Systems.
Sustain. Comput. Informatics Syst., 2018

Energy-efficient acceleration of MapReduce applications using FPGAs.
J. Parallel Distributed Comput., 2018

IEEE Access Special Section Editorial: Body Area Networks.
IEEE Access, 2018

Architectural considerations for FPGA acceleration of machine learning applications in MapReduce.
Proceedings of the 18th International Conference on Embedded Computer Systems: Architectures, 2018

A Dynamic Programming Technique for Energy-Efficient Multicore Systems.
Proceedings of the Ninth International Green and Sustainable Computing Conference, 2018

Design Space Exploration for Hardware Acceleration of Machine Learning Applications in MapReduce.
Proceedings of the 26th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2018

Monitoring Lung Mechanics during Mechanical Ventilation using Machine Learning Algorithms.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Toward visual field assessment using head-worn sensing devices.
Proceedings of the 15th IEEE International Conference on Wearable and Implantable Body Sensor Networks, 2018

Personalized Human Activity Recognition Using Convolutional Neural Networks.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Context-Aware System Design for Remote Health Monitoring: An Application to Continuous Edema Assessment.
IEEE Trans. Mob. Comput., 2017

Multi-sensor fusion in body sensor networks: State-of-the-art and research challenges.
Inf. Fusion, 2017

Synchronous dynamic view learning: a framework for autonomous training of activity recognition models using wearable sensors.
Proceedings of the 16th ACM/IEEE International Conference on Information Processing in Sensor Networks, 2017

A beverage intake tracking system based on machine learning algorithms, and ultrasonic and color sensors: poster abstract.
Proceedings of the 16th ACM/IEEE International Conference on Information Processing in Sensor Networks, 2017

Mobile sensing to improve medication adherence: demo abstract.
Proceedings of the 16th ACM/IEEE International Conference on Information Processing in Sensor Networks, 2017

Personalization without user interruption: boosting activity recognition in new subjects using unlabeled data.
Proceedings of the 8th International Conference on Cyber-Physical Systems, 2017

Learn-on-the-go: Autonomous cross-subject context learning for internet-of-things applications.
Proceedings of the 2017 IEEE/ACM International Conference on Computer-Aided Design, 2017

An optimal approach for low-power migraine prediction models in the state-of-the-art wireless monitoring devices.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2017

Head-mounted sensors and wearable computing for automatic tunnel vision assessment.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2017

Adaptive compressed sensing at the fingertip of Internet-of-Things sensors: An ultra-low power activity recognition.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2017

2016
A Hardware-Assisted Energy-Efficient Processing Model for Activity Recognition Using Wearables.
ACM Trans. Design Autom. Electr. Syst., 2016

Wearable sensors for gait pattern examination in glaucoma patients.
Microprocess. Microsystems, 2016

Many-core System-on-Chip: architectures and applications.
Microprocess. Microsystems, 2016

A Reliable and Reconfigurable Signal Processing Framework for Estimation of Metabolic Equivalent of Task in Wearable Sensors.
IEEE J. Sel. Top. Signal Process., 2016

An Energy-Efficient Computational Model for Uncertainty Management in Dynamically Changing Networked Wearables.
Proceedings of the 2016 International Symposium on Low Power Electronics and Design, 2016

CyHOP: A generic framework for real-time power-performance optimization in networked wearable motion sensors.
Proceedings of the 34th IEEE International Conference on Computer Design, 2016

Autonomous sensor-context learning in dynamic human-centered internet-of-things environments.
Proceedings of the 35th International Conference on Computer-Aided Design, 2016

An asynchronous multi-view learning approach for activity recognition using wearables.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

S2NI: A mobile platform for nutrition monitoring from spoken data.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

SmartSock: A wearable platform for context-aware assessment of ankle edema.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

A machine learning approach for medication adherence monitoring using body-worn sensors.
Proceedings of the 2016 Design, Automation & Test in Europe Conference & Exhibition, 2016

Plug-n-learn: automatic learning of computational algorithms in human-centered internet-of-things applications.
Proceedings of the 53rd Annual Design Automation Conference, 2016

Transfer learning algorithms for autonomous reconfiguration of wearable systems.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015
Power-Aware Computing in Wearable Sensor Networks: An Optimal Feature Selection.
IEEE Trans. Mob. Comput., 2015

Improving Compliance in Remote Healthcare Systems Through Smartphone Battery Optimization.
IEEE J. Biomed. Health Informatics, 2015

Context-Aware Data Processing to Enhance Quality of Measurements in Wireless Health Systems: An Application to MET Calculation of Exergaming Actions.
IEEE Internet Things J., 2015

Investigation of gait characteristics in glaucoma patients with a shoe-integrated sensing system.
Proceedings of the 2015 IEEE International Conference on Pervasive Computing and Communication Workshops, 2015

Smart-Cuff: A wearable bio-sensing platform with activity-sensitive information quality assessment for monitoring ankle edema.
Proceedings of the 2015 IEEE International Conference on Pervasive Computing and Communication Workshops, 2015

Toward robust and platform-agnostic gait analysis.
Proceedings of the 12th IEEE International Conference on Wearable and Implantable Body Sensor Networks, 2015

Impact of sensor misplacement on estimating metabolic equivalent of task with wearables.
Proceedings of the 12th IEEE International Conference on Wearable and Implantable Body Sensor Networks, 2015

2014
Near-Realistic Mobile Exergames With Wireless Wearable Sensors.
IEEE J. Biomed. Health Informatics, 2014

Power-Aware Activity Monitoring Using Distributed Wearable Sensors.
IEEE Trans. Hum. Mach. Syst., 2014

Designing user-specific plug-n-play into body area networks.
Proceedings of the 4th ACM MobiHoc workshop on Pervasive wireless healthcare, 2014

Cost-sensitive feature selection for on-body sensor localization.
Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2014

SmartHealthSys 2014: ACM ubicomp international workshop on smart health systems and applications.
Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2014

Toward seamless wearable sensing: Automatic on-body sensor localization for physical activity monitoring.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

Patient-centric on-body sensor localization in smart health systems.
Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014

2013
A Pervasive Assessment of Motor Function: A Lightweight Grip Strength Tracking System.
IEEE J. Biomed. Health Informatics, 2013

Ultra low-power signal processing in wearable monitoring systems: A tiered screening architecture with optimal bit resolution.
ACM Trans. Embed. Comput. Syst., 2013

Remote patient monitoring: what impact can data analytics have on cost?
Proceedings of the Wireless Health 2013, 2013

Multimodal energy expenditure calculation for pervasive health: A data fusion model using wearable sensors.
Proceedings of the 2013 IEEE International Conference on Pervasive Computing and Communications Workshops, 2013

Context-aware signal processing in medical embedded systems: A dynamic feature selection approach.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

Objective assessment of overexcited hand movements using a lightweight sensory device.
Proceedings of the 2013 IEEE International Conference on Body Sensor Networks, 2013

2012
Automatic Segmentation and Recognition in Body Sensor Networks Using a Hidden Markov Model.
ACM Trans. Embed. Comput. Syst., 2012

A Mining Technique Using $N$ n-Grams and Motion Transcripts for Body Sensor Network Data Repository.
Proc. IEEE, 2012

WANDA: an end-to-end remote health monitoring and analytics system for heart failure patients.
Proceedings of the Wireless Health 2012, 2012

Opportunistic hierarchical classification for power optimization in wearable movement monitoring systems.
Proceedings of the 7th IEEE International Symposium on Industrial Embedded Systems, 2012

Energy-efficient signal processing in wearable embedded systems: an optimal feature selection approach.
Proceedings of the International Symposium on Low Power Electronics and Design, 2012

Dynamic Task Optimization in Remote Diabetes Monitoring Systems.
Proceedings of the 2012 IEEE Second International Conference on Healthcare Informatics, 2012

Dynamic self-adaptive remote health monitoring system for diabetics.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

Generalized precursor pattern discovery for biomedical signals.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2011
Physical Movement Monitoring Using Body Sensor Networks: A Phonological Approach to Construct Spatial Decision Trees.
IEEE Trans. Ind. Informatics, 2011

Power-aware action recognition with optimal sensor selection: an AdaBoost driven distributed template matching approach.
Proceedings of the First ACM Workshop on Mobile Systems, 2011

Ultra Low Power Granular Decision Making Using Cross Correlation: Optimizing Bit Resolution for Template Matching.
Proceedings of the 17th IEEE Real-Time and Embedded Technology and Applications Symposium, 2011

An Ultra Low Power Granular Decision Making Using Cross Correlation: Minimizing Signal Segments for Template Matching.
Proceedings of the 2011 IEEE/ACM International Conference on Cyber-Physical Systems, 2011

A wireless communication selection approach to minimize energy-per-bit for wearable computing applications.
Proceedings of the Distributed Computing in Sensor Systems, 2011

Wireless Fetal Monitoring Device with Provisions for Multiple Births.
Proceedings of the International Conference on Body Sensor Networks, 2011

2010
Structural action recognition in body sensor networks: distributed classification based on string matching.
IEEE Trans. Inf. Technol. Biomed., 2010

A body sensor network with electromyogram and inertial sensors: multimodal interpretation of muscular activities.
IEEE Trans. Inf. Technol. Biomed., 2010

Burst communication by means of buffer allocation in body sensor networks: Exploiting signal processing to reduce the number of transmissions.
IEEE J. Sel. Areas Commun., 2010

A mining technique using n-grams and motion transcripts for body sensor network data repository.
Proceedings of Wireless Health 2010, 2010

Data Aggregation in Body Sensor Networks: A Power Optimization Technique for Collaborative Signal Processing.
Proceedings of the Seventh Annual IEEE Communications Society Conference on Sensor, 2010

Applications of sensing platforms with wearable computers.
Proceedings of the 3rd International Conference on Pervasive Technologies Related to Assistive Environments, 2010

Body sensor networks for baseball swing training: Coordination analysis of human movements using motion transcripts.
Proceedings of the Eigth Annual IEEE International Conference on Pervasive Computing and Communications, 2010

Collaborative signal processing for action recognition in body sensor networks: a distributed classification algorithm using motion transcripts.
Proceedings of the 9th International Conference on Information Processing in Sensor Networks, 2010

Toward power optimization for communication failure recovery in Body Sensor Networks.
Proceedings of the ACM/IEEE 1st International Conference on Cyber-Physical Systems, 2010

A greedy buffer allocation algorithm for power-aware communication in body sensor networks.
Proceedings of the 8th International Conference on Hardware/Software Codesign and System Synthesis, 2010

2009
A Method for Extracting Temporal Parameters Based on Hidden Markov Models in Body Sensor Networks With Inertial Sensors.
IEEE Trans. Inf. Technol. Biomed., 2009

An efficient placement and routing technique for fault-tolerant distributed embedded computing.
ACM Trans. Embed. Comput. Syst., 2009

Report from HotMobile 2009.
IEEE Pervasive Comput., 2009

Energy-Efficient Information-Driven Coverage for Physical Movement Monitoring in Body Sensor Networks.
IEEE J. Sel. Areas Commun., 2009

Wearable coach for sport training: A quantitative model to evaluate wrist-rotation in golf.
J. Ambient Intell. Smart Environ., 2009

Distributed Continuous Action Recognition Using a Hidden Markov Model in Body Sensor Networks.
Proceedings of the Distributed Computing in Sensor Systems, 2009

Communication minimization for in-network processing in body sensor networks: A buffer assignment technique.
Proceedings of the Design, Automation and Test in Europe, 2009

A Distributed Hidden Markov Model for Fine-grained Annotation in Body Sensor Networks.
Proceedings of the Sixth International Workshop on Wearable and Implantable Body Sensor Networks, 2009

An automatic segmentation technique in body sensor networks based on signal energy.
Proceedings of the 4th International ICST Conference on Body Area Networks, 2009

Sport training using body sensor networks: a statistical approach to measure wrist rotation for golf swing.
Proceedings of the 4th International ICST Conference on Body Area Networks, 2009

2008
A phonological expression for physical movement monitoring in body sensor networks.
Proceedings of the IEEE 5th International Conference on Mobile Adhoc and Sensor Systems, 2008

Locomotion Monitoring Using Body Sensor Networks.
Proceedings of the 7th International Conference on Information Processing in Sensor Networks, 2008

Body sensor networks for driver distraction identification.
Proceedings of the IEEE International Conference on Vehicular Electronics and Safety, 2008

Action coverage formulation for power optimization in body sensor networks.
Proceedings of the 13th Asia South Pacific Design Automation Conference, 2008

2007
A New Approach for Design and Verification of Transaction Level Models.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2007), 2007

2006
Modified Pseudo LRU Replacement Algorithm.
Proceedings of the 13th Annual IEEE International Conference and Workshop on Engineering of Computer Based Systems (ECBS 2006), 2006


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