Hassan Ghasemzadeh
Orcid: 0000-0002-1844-1416Affiliations:
- 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 163 papers
between 2006 and 2024.
Collaborative distances:
Collaborative distances:
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Online presence:
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on orcid.org
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on eecs.wsu.edu
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on dl.acm.org
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Bibliography
2024
Adversarial Transferability in Embedded Sensor Systems: An Activity Recognition Perspective.
ACM Trans. Embed. Comput. Syst., March, 2024
Inter-Beat Interval Estimation with Tiramisu Model: A Novel Approach with Reduced Error.
ACM Trans. Comput. Heal., January, 2024
Freezing of Gait Detection Using Gramian Angular Fields and Federated Learning from Wearable Sensors.
CoRR, 2024
Hybrid Attention Model Using Feature Decomposition and Knowledge Distillation for Glucose Forecasting.
CoRR, 2024
Self-Supervised Learning and Opportunistic Inference for Continuous Monitoring of Freezing of Gait in Parkinson's Disease.
CoRR, 2024
Wearable-Based Real-time Freezing of Gait Detection in Parkinson's Disease Using Self-Supervised Learning.
CoRR, 2024
Multimodal Physical Activity Forecasting in Free-Living Clinical Settings: Hunting Opportunities for Just-in-Time Interventions.
CoRR, 2024
Use of What-if Scenarios to Help Explain Artificial Intelligence Models for Neonatal Health.
CoRR, 2024
CUDLE: Learning Under Label Scarcity to Detect Cannabis Use in Uncontrolled Environments.
CoRR, 2024
Wavelet-Augmented Self-Supervised Learning for Accurate Classification of Cognitive Workload.
Proceedings of the 20th IEEE International Conference on Body Sensor Networks, 2024
Proceedings of the 20th IEEE International Conference on Body Sensor Networks, 2024
2023
IEEE J. Biomed. Health Informatics, December, 2023
Model-Agnostic Structural Transfer Learning for Cross-Domain Autonomous Activity Recognition.
Sensors, July, 2023
IEEE Trans. Mob. 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
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
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
IEEE Trans. Mob. Comput., 2022
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
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
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
CoRR, 2021
CoRR, 2021
Proceedings of the Advances in Visual Computing - 16th International Symposium, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
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
Proximity-Based Active Learning on Streaming Data: A Personalized Eating Moment Recognition.
CoRR, 2020
CoRR, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
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
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Proceedings of the 5th IEEE/ACM International Conference on Connected Health: Applications, 2020
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
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
Proceedings of the IEEE International Conference on Smart Computing, 2019
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Proceedings of the 48th International Conference on Parallel Processing, 2019
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
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
Sustain. Comput. Informatics Syst., 2018
J. Parallel Distributed Comput., 2018
Architectural considerations for FPGA acceleration of machine learning applications in MapReduce.
Proceedings of the 18th International Conference on Embedded Computer Systems: Architectures, 2018
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
Proceedings of the 15th IEEE International Conference on Wearable and Implantable Body Sensor Networks, 2018
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
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
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
Microprocess. Microsystems, 2016
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
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
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
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016
2015
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
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
IEEE J. Biomed. Health Informatics, 2014
IEEE Trans. Hum. Mach. Syst., 2014
Proceedings of the 4th ACM MobiHoc workshop on Pervasive wireless healthcare, 2014
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
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
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
Proceedings of the 2012 IEEE Second International Conference on Healthcare Informatics, 2012
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
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
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
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
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
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
Proceedings of the IEEE 5th International Conference on Mobile Adhoc and Sensor Systems, 2008
Proceedings of the 7th International Conference on Information Processing in Sensor Networks, 2008
Proceedings of the IEEE International Conference on Vehicular Electronics and Safety, 2008
Proceedings of the 13th Asia South Pacific Design Automation Conference, 2008
2007
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2007), 2007
2006
Proceedings of the 13th Annual IEEE International Conference and Workshop on Engineering of Computer Based Systems (ECBS 2006), 2006