Modified Pseudo LRU Replacement Algorithm. - Hassan Ghasemzadeh 001; Sepideh Mazrouee; Mohammad Reza Kakoee (ECBS, 2006)

A New Approach for Design and Verification of Transaction Level Models. - Mohammad Reza Kakoee; Hamid Shojaei; Hassan Ghasemzadeh 001; Marjan Sirjani; Zainalabedin Navabi (ISCAS, 2007)

Action coverage formulation for power optimization in body sensor networks. - Hassan Ghasemzadeh 001; Eric Guenterberg; Katherine Gilani; Roozbeh Jafari (ASP-DAC, 2008)

Body sensor networks for driver distraction identification. - Amardeep Sathyanarayana; Sandhya Nageswaren; Hassan Ghasemzadeh 001; Roozbeh Jafari; John H. L. Hansen (ICVES, 2008)

Locomotion Monitoring Using Body Sensor Networks. - Jaime Barnes; Vikram Ramachandra; Katherine Gilani; Eric Guenterberg; Hassan Ghasemzadeh 001; Roozbeh Jafari (IPSN, 2008)

A phonological expression for physical movement monitoring in body sensor networks. - Hassan Ghasemzadeh 001; Jaime Barnes; Eric Guenterberg; Roozbeh Jafari (MASS, 2008)

Sport training using body sensor networks: a statistical approach to measure wrist rotation for golf swing. - Hassan Ghasemzadeh 001; Vitali Loseu; Eric Guenterberg; Roozbeh Jafari (BODYNETS, 2009)

An automatic segmentation technique in body sensor networks based on signal energy. - Eric Guenterberg; Sarah Ostadabbas; Hassan Ghasemzadeh 001; Roozbeh Jafari (BODYNETS, 2009)

A Distributed Hidden Markov Model for Fine-grained Annotation in Body Sensor Networks. - Eric Guenterberg; Hassan Ghasemzadeh 001; Roozbeh Jafari (BSN, 2009)

Communication minimization for in-network processing in body sensor networks: A buffer assignment technique. - Hassan Ghasemzadeh 001; Nisha Jain; Marco Sgroi; Roozbeh Jafari (DATE, 2009)

Distributed Continuous Action Recognition Using a Hidden Markov Model in Body Sensor Networks. - Eric Guenterberg; Hassan Ghasemzadeh 001; Vitali Loseu; Roozbeh Jafari (DCOSS, 2009)

Wearable coach for sport training: A quantitative model to evaluate wrist-rotation in golf. - Hassan Ghasemzadeh 001; Vitali Loseu; Roozbeh Jafari (J. Ambient Intell. Smart Environ., 2009)

Energy-Efficient Information-Driven Coverage for Physical Movement Monitoring in Body Sensor Networks. - Hassan Ghasemzadeh 001; Eric Guenterberg; Roozbeh Jafari (IEEE J. Sel. Areas Commun., 2009)

Report from HotMobile 2009. - Daniel Câmara; Daniel Fokum; Eric Anderson 002; Hassan Ghasemzadeh 001; Yong Liu 024 (IEEE Pervasive Comput., 2009)

An efficient placement and routing technique for fault-tolerant distributed embedded computing. - Roozbeh Jafari; Hassan Ghasemzadeh 001; Foad Dabiri; Ani Nahapetian; Majid Sarrafzadeh (ACM Trans. Embed. Comput. Syst., 2009)

A Method for Extracting Temporal Parameters Based on Hidden Markov Models in Body Sensor Networks With Inertial Sensors. - Eric Guenterberg; Allen Y. Yang; Hassan Ghasemzadeh 001; Roozbeh Jafari; Ruzena Bajcsy; Shankar Sastry 001 (IEEE Trans. Inf. Technol. Biomed., 2009)

A greedy buffer allocation algorithm for power-aware communication in body sensor networks. - Hassan Ghasemzadeh 001; Roozbeh Jafari (CODES+ISSS, 2010)

Toward power optimization for communication failure recovery in Body Sensor Networks. - Vitali Loseu; Hassan Ghasemzadeh 001; Roozbeh Jafari (ICCPS, 2010)

Collaborative signal processing for action recognition in body sensor networks: a distributed classification algorithm using motion transcripts. - Hassan Ghasemzadeh 001; Vitali Loseu; Roozbeh Jafari (IPSN, 2010)

Body sensor networks for baseball swing training: Coordination analysis of human movements using motion transcripts. - Hassan Ghasemzadeh 001; Roozbeh Jafari (PerCom Workshops, 2010)

Applications of sensing platforms with wearable computers. - Vitali Loseu; Hassan Ghasemzadeh 001; Sarah Ostadabbas; Nikhil Raveendranathan; Jacques Malan; Roozbeh Jafari (PETRA, 2010)

Data Aggregation in Body Sensor Networks: A Power Optimization Technique for Collaborative Signal Processing. - Hassan Ghasemzadeh 001; Roozbeh Jafari (SECON, 2010)

A mining technique using n-grams and motion transcripts for body sensor network data repository. - Vitali Loseu; Hassan Ghasemzadeh 001; Latifur R. Khan; Roozbeh Jafari (Wireless Health, 2010)

Burst communication by means of buffer allocation in body sensor networks: Exploiting signal processing to reduce the number of transmissions. - Hassan Ghasemzadeh 001; Vitali Loseu; Sarah Ostadabbas; Roozbeh Jafari (IEEE J. Sel. Areas Commun., 2010)

A body sensor network with electromyogram and inertial sensors: multimodal interpretation of muscular activities. - Hassan Ghasemzadeh 001; Roozbeh Jafari; Balakrishnan Prabhakaran 001 (IEEE Trans. Inf. Technol. Biomed., 2010)

Structural action recognition in body sensor networks: distributed classification based on string matching. - Hassan Ghasemzadeh 001; Vitali Loseu; Roozbeh Jafari (IEEE Trans. Inf. Technol. Biomed., 2010)

Wireless Fetal Monitoring Device with Provisions for Multiple Births. - Steven L. Garverick; Hassan Ghasemzadeh 001; Mark Zurcher; Masoud Roham; Enrique Saldivar (BSN, 2011)

A wireless communication selection approach to minimize energy-per-bit for wearable computing applications. - Vitali Loseu; Hassan Ghasemzadeh 001; Roozbeh Jafari (DCOSS, 2011)

An Ultra Low Power Granular Decision Making Using Cross Correlation: Minimizing Signal Segments for Template Matching. - Hassan Ghasemzadeh 001; Roozbeh Jafari (ICCPS, 2011)

Ultra Low Power Granular Decision Making Using Cross Correlation: Optimizing Bit Resolution for Template Matching. - Hassan Ghasemzadeh 001; Roozbeh Jafari (IEEE Real-Time and Embedded Technology and Applications Symposium, 2011)

Power-aware action recognition with optimal sensor selection: an AdaBoost driven distributed template matching approach. - Pasquale Panuccio; Hassan Ghasemzadeh 001; Giancarlo Fortino; Roozbeh Jafari (mHealthSys@SenSys, 2011)

Physical Movement Monitoring Using Body Sensor Networks: A Phonological Approach to Construct Spatial Decision Trees. - Hassan Ghasemzadeh 001; Roozbeh Jafari (IEEE Trans. Ind. Informatics, 2011)

Generalized precursor pattern discovery for biomedical signals. - Mars Lan; Hassan Ghasemzadeh 001; Majid Sarrafzadeh (EMBC, 2012)

Dynamic self-adaptive remote health monitoring system for diabetics. - Myung-kyung Suh; Tannaz Moin; Jonathan Woodbridge; Mars Lan; Hassan Ghasemzadeh 001; Alex A. T. Bui; Sheila Ahmadi; Majid Sarrafzadeh (EMBC, 2012)

Dynamic Task Optimization in Remote Diabetes Monitoring Systems. - Myung-kyung Suh; Jonathan Woodbridge; Tannaz Moin; Mars Lan; Nabil Alshurafa; Lauren Samy; Bobak Mortazavi; Hassan Ghasemzadeh 001; Alex A. T. Bui; Sheila Ahmadi; Majid Sarrafzadeh (HISB, 2012)

Energy-efficient signal processing in wearable embedded systems: an optimal feature selection approach. - Hassan Ghasemzadeh 001; Navid Amini; Majid Sarrafzadeh (ISLPED, 2012)

Opportunistic hierarchical classification for power optimization in wearable movement monitoring systems. - Francesco Fraternali; Mahsan Rofouei; Nabil Alshurafa; Hassan Ghasemzadeh 001; Luca Benini; Majid Sarrafzadeh (SIES, 2012)

WANDA: an end-to-end remote health monitoring and analytics system for heart failure patients. - Mars Lan; Lauren Samy; Nabil Alshurafa; Myung-kyung Suh; Hassan Ghasemzadeh 001; Aurelia Macabasco-O'Connell; Majid Sarrafzadeh (Wireless Health, 2012)

A Mining Technique Using $N$ n-Grams and Motion Transcripts for Body Sensor Network Data Repository. - Vitali Loseu; Hassan Ghasemzadeh 001; Roozbeh Jafari (Proc. IEEE, 2012)

Automatic Segmentation and Recognition in Body Sensor Networks Using a Hidden Markov Model. - Eric Guenterberg; Hassan Ghasemzadeh 001; Roozbeh Jafari (ACM Trans. Embed. Comput. Syst., 2012)

Objective assessment of overexcited hand movements using a lightweight sensory device. - Sunghoon Ivan Lee; Hassan Ghasemzadeh 001; Bobak Jack Mortazavi; Andrew Yew; Ruth Getachew; Mehrdad Razaghy; Nima Ghalehsari; Brian H. Paak; Jordan H. Garst; Marie Espinal; Jon Kimball; Daniel C. Lu; et al. (BSN, 2013)

Context-aware signal processing in medical embedded systems: A dynamic feature selection approach. - Hassan Ghasemzadeh 001; Behrooz A. Shirazi (GlobalSIP, 2013)

Multimodal energy expenditure calculation for pervasive health: A data fusion model using wearable sensors. - Haik Kalantarian; Sunghoon Ivan Lee; Anurag Mishra; Hassan Ghasemzadeh 001; Jason J. Liu; Majid Sarrafzadeh (PerCom Workshops, 2013)

Remote patient monitoring: what impact can data analytics have on cost? - Sunghoon Ivan Lee; Hassan Ghasemzadeh 001; Bobak Mortazavi; Mars Lan; Nabil Alshurafa; Michael K. Ong; Majid Sarrafzadeh (Wireless Health, 2013)

Ultra low-power signal processing in wearable monitoring systems: A tiered screening architecture with optimal bit resolution. - Hassan Ghasemzadeh 001; Roozbeh Jafari (ACM Trans. Embed. Comput. Syst., 2013)

A Pervasive Assessment of Motor Function: A Lightweight Grip Strength Tracking System. - Sunghoon Ivan Lee; Hassan Ghasemzadeh 001; Bobak Jack Mortazavi; Majid Sarrafzadeh (IEEE J. Biomed. Health Informatics, 2013)

Patient-centric on-body sensor localization in smart health systems. - Ramyar Saeedi; Navid Amini; Hassan Ghasemzadeh 001 (ACSSC, 2014)

Toward seamless wearable sensing: Automatic on-body sensor localization for physical activity monitoring. - Ramyar Saeedi; Janet Purath; Krishna K. Venkatasubramanian; Hassan Ghasemzadeh 001 (EMBC, 2014)

SmartHealthSys 2014: ACM ubicomp international workshop on smart health systems and applications. - Hassan Ghasemzadeh 001; Parisa Rashidi; Michael K. Ong; Diane J. Cook; Roozbeh Jafari; George Demiris; Misha Pavel; Marjorie Skubic (UbiComp Adjunct, 2014)

Cost-sensitive feature selection for on-body sensor localization. - Ramyar Saeedi; Brian Schimert; Hassan Ghasemzadeh 001 (UbiComp Adjunct, 2014)

Designing user-specific plug-n-play into body area networks. - Ryan A. Danas; Douglas T. Lally; Nathaniel W. Miller; John S. Synnott; Craig A. Shue; Hassan Ghasemzadeh 001; Krishna Kumar Venkatasubramanian (MobileHealth@MobiHoc, 2014)

Power-Aware Activity Monitoring Using Distributed Wearable Sensors. - Hassan Ghasemzadeh 001; Pasquale Panuccio; Simone Trovato; Giancarlo Fortino; Roozbeh Jafari (IEEE Trans. Hum. Mach. Syst., 2014)

Near-Realistic Mobile Exergames With Wireless Wearable Sensors. - Bobak Mortazavi; Suneil Nyamathi; Sunghoon Ivan Lee; Thomas Wilkerson; Hassan Ghasemzadeh 001; Majid Sarrafzadeh (IEEE J. Biomed. Health Informatics, 2014)

Impact of sensor misplacement on estimating metabolic equivalent of task with wearables. - Parastoo Alinia; Ramyar Saeedi; Bobak Mortazavi; Seyed Ali Rokni; Hassan Ghasemzadeh 001 (BSN, 2015)

Toward robust and platform-agnostic gait analysis. - Yuchao Ma; Ramin Fallahzadeh; Hassan Ghasemzadeh 001 (BSN, 2015)

Smart-Cuff: A wearable bio-sensing platform with activity-sensitive information quality assessment for monitoring ankle edema. - Ramin Fallahzadeh; Mahdi Pedram; Ramyar Saeedi; Bahman Sadeghi; Michael K. Ong; Hassan Ghasemzadeh 001 (PerCom Workshops, 2015)

Investigation of gait characteristics in glaucoma patients with a shoe-integrated sensing system. - Yuchao Ma; Sharon Henry; Alex Kierlanczyk; Majid Sarrafzadeh; Joseph Caprioli; Kouros Nouri-Mahdavi; Hassan Ghasemzadeh 001; Navid Amini (PerCom Workshops, 2015)

Context-Aware Data Processing to Enhance Quality of Measurements in Wireless Health Systems: An Application to MET Calculation of Exergaming Actions. - Bobak Mortazavi; Mohammad Pourhomayoun; Hassan Ghasemzadeh 001; Roozbeh Jafari; Christian K. Roberts; Majid Sarrafzadeh (IEEE Internet Things J., 2015)

Improving Compliance in Remote Healthcare Systems Through Smartphone Battery Optimization. - Nabil Alshurafa; Jo-Ann Eastwood; Suneil Nyamathi; Jason J. Liu; Wenyao Xu; Hassan Ghasemzadeh 001; Mohammad Pourhomayoun; Majid Sarrafzadeh (IEEE J. Biomed. Health Informatics, 2015)

Power-Aware Computing in Wearable Sensor Networks: An Optimal Feature Selection. - Hassan Ghasemzadeh 001; Navid Amini; Ramyar Saeedi; Majid Sarrafzadeh (IEEE Trans. Mob. Comput., 2015)

Transfer learning algorithms for autonomous reconfiguration of wearable systems. - Ramyar Saeedi; Hassan Ghasemzadeh 001; Assefaw Hadish Gebremedhin (IEEE BigData, 2016)

Plug-n-learn: automatic learning of computational algorithms in human-centered internet-of-things applications. - Seyed Ali Rokni; Hassan Ghasemzadeh 001 (DAC, 2016)

A machine learning approach for medication adherence monitoring using body-worn sensors. - Niloofar Hezarjaribi; Ramin Fallahzadeh; Hassan Ghasemzadeh 001 (DATE, 2016)

SmartSock: A wearable platform for context-aware assessment of ankle edema. - Ramin Fallahzadeh; Mahdi Pedram; Hassan Ghasemzadeh 001 (EMBC, 2016)

S2NI: A mobile platform for nutrition monitoring from spoken data. - Niloofar Hezarjaribi; Cody A. Reynolds; Drew T. Miller; Naomi Chaytor; Hassan Ghasemzadeh 001 (EMBC, 2016)

An asynchronous multi-view learning approach for activity recognition using wearables. - Yuchao Ma; Hassan Ghasemzadeh 001 (EMBC, 2016)

Autonomous sensor-context learning in dynamic human-centered internet-of-things environments. - Seyed Ali Rokni; Hassan Ghasemzadeh 001 (ICCAD, 2016)

CyHOP: A generic framework for real-time power-performance optimization in networked wearable motion sensors. - Ramin Fallahzadeh; Hassan Ghasemzadeh 001 (ICCD, 2016)

An Energy-Efficient Computational Model for Uncertainty Management in Dynamically Changing Networked Wearables. - Ramyar Saeedi; Ramin Fallahzadeh; Parastoo Alinia; Hassan Ghasemzadeh 001 (ISLPED, 2016)

A Reliable and Reconfigurable Signal Processing Framework for Estimation of Metabolic Equivalent of Task in Wearable Sensors. - Parastoo Alinia; Ramyar Saeedi; Ramin Fallahzadeh; Seyed Ali Rokni; Hassan Ghasemzadeh 001 (IEEE J. Sel. Top. Signal Process., 2016)

Many-core System-on-Chip: architectures and applications. - Mohamed Bakhouya; Masoud Daneshtalab; Maurizio Palesi; Hassan Ghasemzadeh 001 (Microprocess. Microsystems, 2016)

Wearable sensors for gait pattern examination in glaucoma patients. - Yuchao Ma; Navid Amini; Hassan Ghasemzadeh 001 (Microprocess. Microsystems, 2016)

A Hardware-Assisted Energy-Efficient Processing Model for Activity Recognition Using Wearables. - Hassan Ghasemzadeh 001; Ramin Fallahzadeh; Roozbeh Jafari (ACM Trans. Design Autom. Electr. Syst., 2016)

Adaptive compressed sensing at the fingertip of Internet-of-Things sensors: An ultra-low power activity recognition. - Ramin Fallahzadeh; Josué Pagán Ortiz; Hassan Ghasemzadeh 001 (DATE, 2017)

Head-mounted sensors and wearable computing for automatic tunnel vision assessment. - Yuchao Ma; Hassan Ghasemzadeh 001 (DATE, 2017)

An optimal approach for low-power migraine prediction models in the state-of-the-art wireless monitoring devices. - Josué Pagán; Ramin Fallahzadeh; Hassan Ghasemzadeh 001; José Manuel Moya; José Luis Risco-Martín; José L. Ayala (DATE, 2017)

Learn-on-the-go: Autonomous cross-subject context learning for internet-of-things applications. - Ramin Fallahzadeh; Parastoo Alinia; Hassan Ghasemzadeh 001 (ICCAD, 2017)

Personalization without user interruption: boosting activity recognition in new subjects using unlabeled data. - Ramin Fallahzadeh; Hassan Ghasemzadeh 001 (ICCPS, 2017)

Mobile sensing to improve medication adherence: demo abstract. - Ramin Fallahzadeh; Bryan David Minor; Lorraine S. Evangelista; Diane J. Cook; Hassan Ghasemzadeh 001 (IPSN, 2017)

A beverage intake tracking system based on machine learning algorithms, and ultrasonic and color sensors: poster abstract. - Mahdi Pedram; Seyed Ali Rokni; Ramin Fallahzadeh; Hassan Ghasemzadeh 001 (IPSN, 2017)

Synchronous dynamic view learning: a framework for autonomous training of activity recognition models using wearable sensors. - Seyed Ali Rokni; Hassan Ghasemzadeh 001 (IPSN, 2017)

Multi-sensor fusion in body sensor networks: State-of-the-art and research challenges. - Raffaele Gravina; Parastoo Alinia; Hassan Ghasemzadeh 001; Giancarlo Fortino (Inf. Fusion, 2017)

Context-Aware System Design for Remote Health Monitoring: An Application to Continuous Edema Assessment. - Ramin Fallahzadeh; Yuchao Ma; Hassan Ghasemzadeh 001 (IEEE Trans. Mob. Comput., 2017)

Personalized Human Activity Recognition Using Convolutional Neural Networks. - Seyed Ali Rokni; Marjan Nourollahi; Hassan Ghasemzadeh 001 (AAAI, 2018)

Toward visual field assessment using head-worn sensing devices. - Yuchao Ma; Samaneh Aminikhanghahi; Shane Wilhelm; Wesley Daniel Thorsen; Evan Conley Coleman; Hassan Ghasemzadeh 001 (BSN, 2018)

Monitoring Lung Mechanics during Mechanical Ventilation using Machine Learning Algorithms. - Niloofar Hezarjaribi; Rabijit Dutta; Tao Xing; Gordon K. Murdoch; Sepideh Mazrouee; Bobak J. Mortazavi; Hassan Ghasemzadeh 001 (EMBC, 2018)

Design Space Exploration for Hardware Acceleration of Machine Learning Applications in MapReduce. - Katayoun Neshatpour; Hosein Mohammadi Makrani; Avesta Sasan; Hassan Ghasemzadeh 001; Setareh Rafatirad; Houman Homayoun (FCCM, 2018)

A Dynamic Programming Technique for Energy-Efficient Multicore Systems. - Shervin Hajiamini; Behrooz A. Shirazi; Aaron S. Crandall; Hassan Ghasemzadeh 001 (IGSC, 2018)

Architectural considerations for FPGA acceleration of machine learning applications in MapReduce. - Katayoun Neshatpour; Hosein Mohammadi Makrani; Avesta Sasan; Hassan Ghasemzadeh 001; Setareh Rafatirad; Houman Homayoun (SAMOS, 2018)

IEEE Access Special Section Editorial: Body Area Networks. - Ladislau Matekovits; Giancarlo Fortino; Zhelong Wang; Hassan Ghasemzadeh 001; Valeria Loscrì; Ildiko Peter; Matti Hämäläinen (IEEE Access, 2018)

Energy-efficient acceleration of MapReduce applications using FPGAs. - Katayoun Neshatpour; Maria Malik; Avesta Sasan; Setareh Rafatirad; Tinoosh Mohsenin; Hassan Ghasemzadeh 001; Houman Homayoun (J. Parallel Distributed Comput., 2018)

Impact of Cache Voltage Scaling on Energy-Time Pareto Frontier in Multicore Systems. - Shervin Hajiamini; Behrooz A. Shirazi; Aaron S. Crandall; Hassan Ghasemzadeh 001; Chris Cain (Sustain. Comput. Informatics Syst., 2018)

Speech2Health: A Mobile Framework for Monitoring Dietary Composition From Spoken Data. - Niloofar Hezarjaribi; Sepideh Mazrouee; Hassan Ghasemzadeh 001 (IEEE J. Biomed. Health Informatics, 2018)

Autonomous Training of Activity Recognition Algorithms in Mobile Sensors: A Transfer Learning Approach in Context-Invariant Views. - Seyed Ali Rokni; Hassan Ghasemzadeh 001 (IEEE Trans. Mob. Comput., 2018)

Trading Off Power Consumption and Prediction Performance in Wearable Motion Sensors: An Optimal and Real-Time Approach. - Ramin Fallahzadeh; Hassan Ghasemzadeh 001 (ACM Trans. Design Autom. Electr. Syst., 2018)

LabelForest: Non-Parametric Semi-Supervised Learning for Activity Recognition. - Yuchao Ma; Hassan Ghasemzadeh 001 (AAAI, 2019)

Resource-Efficient Wearable Computing for Real-Time Reconfigurable Machine Learning: A Cascading Binary Classification. - Mahdi Pedram; Seyed Ali Rokni; Marjan Nourollahi; Houman Homayoun; Hassan Ghasemzadeh 001 (BSN, 2019)

Adar: Adversarial Activity Recognition in Wearables. - Ramesh Kumar Sah; Hassan Ghasemzadeh 001 (ICCAD, 2019)

ECoST: Energy-Efficient Co-Locating and Self-Tuning MapReduce Applications. - Maria Malik; Hassan Ghasemzadeh 001; Tinoosh Mohsenin; Rosario Cammarota; Liang Zhao 002; Avesta Sasan; Houman Homayoun; Setareh Rafatirad (ICPP, 2019)

Mindful Active Learning. - Zhila Esna Ashari; Hassan Ghasemzadeh 001 (IJCAI, 2019)

Resource-Efficient Computing in Wearable Systems. - Mahsan Rofouei; Mahdi Pedram; Francesco Fraternali; Zhila Esna Ashari; Hassan Ghasemzadeh 001 (SMARTCOMP, 2019)

Improved Knowledge Distillation via Teacher Assistant: Bridging the Gap Between Student and Teacher. - Seyed-Iman Mirzadeh; Mehrdad Farajtabar; Ang Li; Hassan Ghasemzadeh 001 (CoRR, 2019)

Advances in multi-sensor fusion for body sensor networks: Algorithms, architectures, and applications. - Giancarlo Fortino; Hassan Ghasemzadeh 001; Raffaele Gravina; Peter X. Liu; Carmen C. Y. Poon; Zhelong Wang (Inf. Fusion, 2019)

Big vs little core for energy-efficient Hadoop computing. - Maria Malik; Katayoun Neshatpour; Setareh Rafatirad; Rajiv V. Joshi; Tinoosh Mohsenin; Hassan Ghasemzadeh 001; Houman Homayoun (J. Parallel Distributed Comput., 2019)

Human-in-the-loop Learning for Personalized Diet Monitoring from Unstructured Mobile Data. - Niloofar Hezarjaribi; Sepideh Mazrouee; Saied Hemati; Naomi Chaytor; Martine Perrigue; Hassan Ghasemzadeh 001 (ACM Trans. Interact. Intell. Syst., 2019)

Toward Ultra-Low-Power Remote Health Monitoring: An Optimal and Adaptive Compressed Sensing Framework for Activity Recognition. - Josué Pagán; Ramin Fallahzadeh; Mahdi Pedram; José L. Risco-Martín; José Manuel Moya; José L. Ayala; Hassan Ghasemzadeh 001 (IEEE Trans. Mob. Comput., 2019)

Share-n-Learn: A Framework for Sharing Activity Recognition Models in Wearable Systems With Context-Varying Sensors. - Seyed Ali Rokni; Hassan Ghasemzadeh 001 (ACM Trans. Design Autom. Electr. Syst., 2019)

Improved Knowledge Distillation via Teacher Assistant. - Seyed-Iman Mirzadeh; Mehrdad Farajtabar; Ang Li; Nir Levine; Akihiro Matsukawa; Hassan Ghasemzadeh 001 (AAAI, 2020)

Poster: Mobile Health for Alcohol Recovery and Relapse Prevention. - Ramesh Kumar Sah; Hassan Ghasemzadeh 001; Assal Habibi; Michael McDonell; Patricia Pendry; Michael Cleveland (CHASE, 2020)

Dropout as an Implicit Gating Mechanism For Continual Learning. - Seyed-Iman Mirzadeh; Mehrdad Farajtabar; Hassan Ghasemzadeh 001 (CVPR Workshops, 2020)

Optimal Policy for Deployment of Machine Learning Models on Energy-Bounded Systems. - Seyed-Iman Mirzadeh; Hassan Ghasemzadeh 001 (IJCAI, 2020)

Design and evaluation of a wearable assistive technology for hemianopic stroke patients. - Navid Amini; Jung Soo Lim; Farnaz Mohammadi; Clinton Thodos; Benjamin Braun; Hassan Ghasemzadeh 001; Melissa W. Chun; Kouros Nouri-Mahdavi (ISWC, 2020)

Proximity-based active learning for eating moment recognition in wearable systems. - Marjan Nourollahi; Seyed Ali Rokni; Parastoo Alinia; Hassan Ghasemzadeh 001 (WearSys@MobiSys, 2020)

Understanding the Role of Training Regimes in Continual Learning. - Seyed-Iman Mirzadeh; Mehrdad Farajtabar; Razvan Pascanu; Hassan Ghasemzadeh 001 (NeurIPS, 2020)

ActiLabel: A Combinatorial Transfer Learning Framework for Activity Recognition. - Parastoo Alinia; Seyed-Iman Mirzadeh; Hassan Ghasemzadeh 001 (CoRR, 2020)

Adversarial Transferability in Wearable Sensor Systems. - Ramesh Kumar Sah; Hassan Ghasemzadeh 001 (CoRR, 2020)

Proximity-Based Active Learning on Streaming Data: A Personalized Eating Moment Recognition. - Marjan Nourollahi; Seyed Ali Rokni; Hassan Ghasemzadeh 001 (CoRR, 2020)

Personality Assessment from Text for Machine Commonsense Reasoning. - Niloofar Hezarjaribi; Zhila Esna Ashari; James F. Frenzel; Hassan Ghasemzadeh 001; Saied Hemati (CoRR, 2020)

Transfer Learning for Activity Recognition in Mobile Health. - Yuchao Ma; Andrew T. Campbell; Diane J. Cook; John C. Lach; Shwetak N. Patel; Thomas Ploetz; Majid Sarrafzadeh; Donna Spruijt-Metz; Hassan Ghasemzadeh 001 (CoRR, 2020)

Pervasive Lying Posture Tracking. - Parastoo Alinia; Ali Samadani; Mladen Milosevic; Hassan Ghasemzadeh 001; Saman Parvaneh (Sensors, 2020)

Robust Interbeat Interval and Heart Rate Variability Estimation Method From Various Morphological Features Using Wearable Sensors. - Ayca Aygun; Hassan Ghasemzadeh 001; Roozbeh Jafari (IEEE J. Biomed. Health Informatics, 2020)

A Dynamic Programming Framework for DVFS-Based Energy-Efficiency in Multicore Systems. - Shervin Hajiamini; Behrooz A. Shirazi; Aaron S. Crandall; Hassan Ghasemzadeh 001 (IEEE Trans. Sustain. Comput., 2020)

CL-Gym: Full-Featured PyTorch Library for Continual Learning. - Seyed-Iman Mirzadeh; Hassan Ghasemzadeh 001 (CVPR Workshops, 2021)

Linear Mode Connectivity in Multitask and Continual Learning. - Seyed-Iman Mirzadeh; Mehrdad Farajtabar; Dilan Görür; Razvan Pascanu; Hassan Ghasemzadeh 001 (ICLR, 2021)

Analysis of Macular Thickness Deviation Maps for Diagnosis of Glaucoma. - Bingnan Zhou; Farnaz Mohammadi; Jung Soo Lim; Negin Forouzesh; Hassan Ghasemzadeh 001; Navid Amini (ISVC (2), 2021)

Single Run Action Detector over Video Stream - A Privacy Preserving Approach. - Anbumalar Saravanan; Justin Sanchez; Hassan Ghasemzadeh 001; Aurelia Macabasco-O'Connell; Hamed Tabkhi (CoRR, 2021)

Stress Classification and Personalization: Getting the most out of the least. - Ramesh Kumar Sah; Hassan Ghasemzadeh 001 (CoRR, 2021)

TransNet: Minimally Supervised Deep Transfer Learning for Dynamic Adaptation of Wearable Systems. - Seyed Ali Rokni; Marjan Nourollahi; Parastoo Alinia; Seyed-Iman Mirzadeh; Mahdi Pedram; Hassan Ghasemzadeh 001 (ACM Trans. Design Autom. Electr. Syst., 2021)

Forewarning Postprandial Hyperglycemia with Interpretations using Machine Learning. - Asiful Arefeen; Samantha Fessler; Carol Johnston; Hassan Ghasemzadeh 001 (BSN, 2022)

Multimodal Time-Series Activity Forecasting for Adaptive Lifestyle Intervention Design. - Abdullah Mamun; Krista S. Leonard; Matthew P. Buman; Hassan Ghasemzadeh 001 (BSN, 2022)

ADARP: A Multi Modal Dataset for Stress and Alcohol Relapse Quantification in Real Life Setting. - Ramesh Kumar Sah; Michael McDonell; Patricia Pendry; Sara Parent; Hassan Ghasemzadeh 001; Michael J. Cleveland (BSN, 2022)

On-Device Machine Learning for Diagnosis of Parkinson's Disease from Hand Drawn Artifacts. - Sai Vaibhav Polisetti Venkata; Shubhankar Sabat; Chinmay Anand Deshpande; Asiful Arefeen; Daniel Peterson; Hassan Ghasemzadeh 001 (BSN, 2022)

Comparing the Predictability of Sensor Modalities to Detect Stress from Wearable Sensor Data. - Ryan Holder; Ramesh Kumar Sah; Michael Cleveland; Hassan Ghasemzadeh 001 (CCNC, 2022)

Computational Framework for Sequential Diet Recommendation: Integrating Linear Optimization and Clinical Domain Knowledge. - Asiful Arefeen; Niloo Jaribi; Bobak J. Mortazavi; Hassan Ghasemzadeh 001 (CHASE, 2022)

Boosting Lying Posture Classification with Transfer Learning. - Parastoo Alinia; Saman Parvaneh; Seyed-Iman Mirzadeh; Asiful Arefeen; Hassan Ghasemzadeh 001 (EMBC, 2022)

Designing Deep Neural Networks Robust to Sensor Failure in Mobile Health Environments. - Abdullah Mamun; Seyed-Iman Mirzadeh; Hassan Ghasemzadeh 001 (EMBC, 2022)

Stressalyzer: Convolutional Neural Network Framework for Personalized Stress Classification. - Ramesh Kumar Sah; Michael J. Cleveland; Assal Habibi; Hassan Ghasemzadeh 001 (EMBC, 2022)

Continual Learning for Activity Recognition. - Ramesh Kumar Sah; Seyed-Iman Mirzadeh; Hassan Ghasemzadeh 001 (EMBC, 2022)

Memory-Aware Active Learning in Mobile Sensing Systems. - Zhila Esna Ashari; Naomi Chaytor; Diane J. Cook; Hassan Ghasemzadeh 001 (IEEE Trans. Mob. Comput., 2022)

GlySim: Modeling and Simulating Glycemic Response for Behavioral Lifestyle Interventions. - Asiful Arefeen; Hassan Ghasemzadeh 001 (BHI, 2023)

Personalized Modeling and Detection of Moments of Cannabis Use in Free-Living Environments. - Reza Rahimi Azghan; Nicholas C. Glodosky; Ramesh Kumar Sah; Carrie Cuttler; Ryan McLaughlin; Michael J. Cleveland; Hassan Ghasemzadeh 001 (BSN, 2023)

Neonatal Risk Modeling and Prediction. - Abdullah Mamun; Chia-Cheng Kuo; David W. Britt; Lawrence D. Devoe; Mark I. Evans; Hassan Ghasemzadeh 001; Judith Klein-Seetharaman (BSN, 2023)

GlucoseAssist: Personalized Blood Glucose Level Predictions and Early Dysglycemia Detection. - Prisha Shroff; Asiful Arefeen; Hassan Ghasemzadeh 001 (BSN, 2023)

The Scope of In-Context Learning for the Extraction of Medical Temporal Constraints. - Parker Seegmiller; Joseph Gatto; Madhusudan Basak; Diane J. Cook; Hassan Ghasemzadeh 001; John A. Stankovic; Sarah Preum (ICHI, 2023)

ActSafe: Predicting Violations of Medical Temporal Constraints for Medication Adherence. - Parker Seegmiller; Joseph Gatto; Abdullah Mamun; Hassan Ghasemzadeh 001; Diane J. Cook; John A. Stankovic; Sarah Masud Preum (CoRR, 2023)

Designing User-Centric Behavioral Interventions to Prevent Dysglycemia with Novel Counterfactual Explanations. - Asiful Arefeen; Hassan Ghasemzadeh 001 (CoRR, 2023)

Toward Ultra-Low-Power Remote Health Monitoring: An Optimal and Adaptive Compressed Sensing Framework for Activity Recognition. - Josué Pagán; Ramin Fallahzadeh; Mahdi Pedram; José L. Risco-Martín; José Manuel Moya; Jisé Luis Ayala; Hassan Ghasemzadeh 001 (CoRR, 2023)

Pandemic Preparedness With Pervasive Computing. - Oliver Amft; Hassan Ghasemzadeh 001 (IEEE Pervasive Comput., 2023)

Personalized Activity Recognition Using Partially Available Target Data. - Ramin Fallahzadeh; Zhila Esna Ashari; Parastoo Alinia; Hassan Ghasemzadeh 001 (IEEE Trans. Mob. Comput., 2023)

Model-Agnostic Structural Transfer Learning for Cross-Domain Autonomous Activity Recognition. - Parastoo Alinia; Asiful Arefeen; Zhila Esna Ashari; Seyed-Iman Mirzadeh; Hassan Ghasemzadeh 001 (Sensors, 2023)

Stress Monitoring in Free-Living Environments. - Ramesh Kumar Sah; Michael J. Cleveland; Hassan Ghasemzadeh 001 (IEEE J. Biomed. Health Informatics, 2023)

GlyMan: Glycemic Management using Patient-Centric Counterfactuals. - Asiful Arefeen; Saman Khamesian; María Adela Grando; Bithika Thompson; Hassan Ghasemzadeh 001 (BHI, 2024)

Minimum-Cost Channel Selection in Wearables. - Ramesh Kumar Sah; Nooshin Taheri-Chatrudi; Stephanie Marita Carpenter; Hassan Ghasemzadeh 001 (BSN, 2024)

Wavelet-Augmented Self-Supervised Learning for Accurate Classification of Cognitive Workload. - Nooshin Taheri-Chatrudi; Will Clegern; Robert Hager; Lonnie Nelson; Hassan Ghasemzadeh 001 (BSN, 2024)

Minimum-Cost Sensor Channel Selection For Wearable Computing. - Ramesh Kumar Sah; Hassan Ghasemzadeh 001 (CoRR, 2024)

CUDLE: Learning Under Label Scarcity to Detect Cannabis Use in Uncontrolled Environments. - Reza Rahimi Azghan; Nicholas C. Glodosky; Ramesh Kumar Sah; Carrie Cuttler; Ryan McLaughlin; Michael J. Cleveland; Hassan Ghasemzadeh 001 (CoRR, 2024)

Use of What-if Scenarios to Help Explain Artificial Intelligence Models for Neonatal Health. - Abdullah Mamun; Lawrence D. Devoe; Mark I. Evans; David W. Britt; Judith Klein-Seetharaman; Hassan Ghasemzadeh 001 (CoRR, 2024)

Multimodal Physical Activity Forecasting in Free-Living Clinical Settings: Hunting Opportunities for Just-in-Time Interventions. - Abdullah Mamun; Krista S. Leonard; Megan E. Petrov; Matthew P. Buman; Hassan Ghasemzadeh 001 (CoRR, 2024)

Wearable-Based Real-time Freezing of Gait Detection in Parkinson's Disease Using Self-Supervised Learning. - Shovito Barua Soumma; Kartik Mangipudi; Daniel Peterson; Shyamal Mehta; Hassan Ghasemzadeh 001 (CoRR, 2024)

Self-Supervised Learning and Opportunistic Inference for Continuous Monitoring of Freezing of Gait in Parkinson's Disease. - Shovito Barua Soumma; Kartik Mangipudi; Daniel Peterson; Shyamal Mehta; Hassan Ghasemzadeh 001 (CoRR, 2024)

Hybrid Attention Model Using Feature Decomposition and Knowledge Distillation for Glucose Forecasting. - Ebrahim Farahmand; Shovito Barua Soumma; Nooshin Taheri-Chatrudi; Hassan Ghasemzadeh 001 (CoRR, 2024)

Freezing of Gait Detection Using Gramian Angular Fields and Federated Learning from Wearable Sensors. - Shovito Barua Soumma; S. M. Raihanul Alam; Rudmila Rahman; Umme Niraj Mahi; Abdullah Mamun; Sayyed Mostafa Mostafavi; Hassan Ghasemzadeh 001 (CoRR, 2024)

Inter-Beat Interval Estimation with Tiramisu Model: A Novel Approach with Reduced Error. - Asiful Arefeen; Ali Akbari; Seyed-Iman Mirzadeh; Roozbeh Jafari; Behrooz A. Shirazi; Hassan Ghasemzadeh 001 (ACM Trans. Comput. Heal., 2024)

Adversarial Transferability in Embedded Sensor Systems: An Activity Recognition Perspective. - Ramesh Kumar Sah; Hassan Ghasemzadeh 001 (ACM Trans. Embed. Comput. Syst., 2024)

Domain-Informed Label Fusion Surpasses LLMs in Free-Living Activity Classification (Student Abstract). - Shovito Barua Soumma; Abdullah Mamun; Hassan Ghasemzadeh 001 (AAAI, 2025)

AttenGluco: Multimodal Transformer-Based Blood Glucose Forecasting on AI-READI Dataset. - Ebrahim Farahmand; Reza Rahimi Azghan; Nooshin Taheri-Chatrudi; Eric Kim; Gautham Krishna Gudur; Edison Thomaz; Giulia Pedrielli; Pavan K. Turaga; Hassan Ghasemzadeh 001 (CoRR, 2025)

Type 1 Diabetes Management using GLIMMER: Glucose Level Indicator Model with Modified Error Rate. - Saman Khamesian; Asiful Arefeen; Adela Grando; Bithika Thompson; Hassan Ghasemzadeh 001 (CoRR, 2025)

NutriGen: Personalized Meal Plan Generator Leveraging Large Language Models to Enhance Dietary and Nutritional Adherence. - Saman Khamesian; Asiful Arefeen; Stephanie Marita Carpenter; Hassan Ghasemzadeh 001 (CoRR, 2025)

GlucoLens: Explainable Postprandial Blood Glucose Prediction from Diet and Physical Activity. - Abdullah Mamun; Asiful Arefeen; Susan B. Racette; Dorothy D. Sears; Corrie M. Whisner; Matthew P. Buman; Hassan Ghasemzadeh 001 (CoRR, 2025)

AIMI: Leveraging Future Knowledge and Personalization in Sparse Event Forecasting for Treatment Adherence. - Abdullah Mamun; Diane J. Cook; Hassan Ghasemzadeh 001 (CoRR, 2025)

Enhancing Metabolic Syndrome Prediction with Hybrid Data Balancing and Counterfactuals. - Sanyam Paresh Shah; Abdullah Mamun; Shovito Barua Soumma; Hassan Ghasemzadeh 001 (CoRR, 2025)

GlyTwin: Digital Twin for Glucose Control in Type 1 Diabetes Through Optimal Behavioral Modifications Using Patient-Centric Counterfactuals. - Asiful Arefeen; Saman Khamesian; María Adela Grando; Bithika Thompson; Hassan Ghasemzadeh 001 (CoRR, 2025)

Guiding Diffusion with Deep Geometric Moments: Balancing Fidelity and Variation. - Sangmin Jung; Utkarsh Nath; Yezhou Yang; Giulia Pedrielli; Joydeep Biswas; Amy Zhang 001; Hassan Ghasemzadeh 001; Pavan K. Turaga (CoRR, 2025)

AZT1D: A Real-World Dataset for Type 1 Diabetes. - Saman Khamesian; Asiful Arefeen; Bithika Thompson; María Adela Grando; Hassan Ghasemzadeh 001 (CoRR, 2025)

SenseCF: LLM-Prompted Counterfactuals for Intervention and Sensor Data Augmentation. - Shovito Barua Soumma; Asiful Arefeen; Stephanie Marita Carpenter; Melanie Hingle; Hassan Ghasemzadeh 001 (CoRR, 2025)