Hassan Ghasemzadeh

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 112

Top Venues

CoRR

BSN

EMBC

IEEE Trans. Mob. Comput.

Publications

Asiful Arefeen, Ali Akbari, Seyed-Iman Mirzadeh, Roozbeh Jafari, Behrooz A. Shirazi, Hassan Ghasemzadeh
Inter-Beat Interval Estimation with Tiramisu Model: A Novel Approach with Reduced Error. ACM Trans. Comput. Heal. 5 (1) (2024)
Ramesh Kumar Sah, Hassan Ghasemzadeh
Minimum-Cost Sensor Channel Selection For Wearable Computing. CoRR (2024)
Ramesh Kumar Sah, Hassan Ghasemzadeh
Adversarial Transferability in Embedded Sensor Systems: An Activity Recognition Perspective. ACM Trans. Embed. Comput. Syst. 23 (2) (2024)
Prisha Shroff, Asiful Arefeen, Hassan Ghasemzadeh
GlucoseAssist: Personalized Blood Glucose Level Predictions and Early Dysglycemia Detection. BSN (2023)
Ramesh Kumar Sah, Michael J. Cleveland, Hassan Ghasemzadeh
Stress Monitoring in Free-Living Environments. IEEE J. Biomed. Health Informatics 27 (12) (2023)
Oliver Amft, Hassan Ghasemzadeh
Pandemic Preparedness With Pervasive Computing. IEEE Pervasive Comput. 22 (4) (2023)
Asiful Arefeen, Hassan Ghasemzadeh
GlySim: Modeling and Simulating Glycemic Response for Behavioral Lifestyle Interventions. BHI (2023)
Ramin Fallahzadeh, Zhila Esna Ashari, Parastoo Alinia, Hassan Ghasemzadeh
Personalized Activity Recognition Using Partially Available Target Data. IEEE Trans. Mob. Comput. 22 (1) (2023)
Asiful Arefeen, Hassan Ghasemzadeh
Designing User-Centric Behavioral Interventions to Prevent Dysglycemia with Novel Counterfactual Explanations. CoRR (2023)
Reza Rahimi Azghan, Nicholas C. Glodosky, Ramesh Kumar Sah, Carrie Cuttler, Ryan McLaughlin, Michael J. Cleveland, Hassan Ghasemzadeh
Personalized Modeling and Detection of Moments of Cannabis Use in Free-Living Environments. BSN (2023)
Parastoo Alinia, Asiful Arefeen, Zhila Esna Ashari, Seyed-Iman Mirzadeh, Hassan Ghasemzadeh
Model-Agnostic Structural Transfer Learning for Cross-Domain Autonomous Activity Recognition. Sensors 23 (14) (2023)
Parker Seegmiller, Joseph Gatto, Abdullah Mamun, Hassan Ghasemzadeh, Diane J. Cook, John A. Stankovic, Sarah Masud Preum
ActSafe: Predicting Violations of Medical Temporal Constraints for Medication Adherence. CoRR (2023)
Josué Pagán, Ramin Fallahzadeh, Mahdi Pedram, José L. Risco-Martín, José Manuel Moya, Jisé Luis Ayala, Hassan Ghasemzadeh
Toward Ultra-Low-Power Remote Health Monitoring: An Optimal and Adaptive Compressed Sensing Framework for Activity Recognition. CoRR (2023)
Parker Seegmiller, Joseph Gatto, Madhusudan Basak, Diane J. Cook, Hassan Ghasemzadeh, John A. Stankovic, Sarah Masud Preum
The Scope of In-Context Learning for the Extraction of Medical Temporal Constraints. CoRR (2023)
Abdullah Mamun, Chia-Cheng Kuo, David W. Britt, Lawrence D. Devoe, Mark I. Evans, Hassan Ghasemzadeh, Judith Klein-Seetharaman
Neonatal Risk Modeling and Prediction. BSN (2023)
Parker Seegmiller, Joseph Gatto, Madhusudan Basak, Diane J. Cook, Hassan Ghasemzadeh, John A. Stankovic, Sarah Preum
The Scope of In-Context Learning for the Extraction of Medical Temporal Constraints. ICHI (2023)
Zhila Esna Ashari, Naomi Chaytor, Diane J. Cook, Hassan Ghasemzadeh
Memory-Aware Active Learning in Mobile Sensing Systems. IEEE Trans. Mob. Comput. 21 (1) (2022)
Abdullah Mamun, Seyed-Iman Mirzadeh, Hassan Ghasemzadeh
Designing Deep Neural Networks Robust to Sensor Failure in Mobile Health Environments. EMBC (2022)
Ramesh Kumar Sah, Michael J. Cleveland, Assal Habibi, Hassan Ghasemzadeh
Stressalyzer: Convolutional Neural Network Framework for Personalized Stress Classification. EMBC (2022)
Asiful Arefeen, Niloo Jaribi, Bobak J. Mortazavi, Hassan Ghasemzadeh
Computational Framework for Sequential Diet Recommendation: Integrating Linear Optimization and Clinical Domain Knowledge. CHASE (2022)
Sai Vaibhav Polisetti Venkata, Shubhankar Sabat, Chinmay Anand Deshpande, Asiful Arefeen, Daniel Peterson, Hassan Ghasemzadeh
On-Device Machine Learning for Diagnosis of Parkinson's Disease from Hand Drawn Artifacts. BSN (2022)
Asiful Arefeen, Samantha Fessler, Carol Johnston, Hassan Ghasemzadeh
Forewarning Postprandial Hyperglycemia with Interpretations using Machine Learning. BSN (2022)
Abdullah Mamun, Krista S. Leonard, Matthew P. Buman, Hassan Ghasemzadeh
Multimodal Time-Series Activity Forecasting for Adaptive Lifestyle Intervention Design. BSN (2022)
Ryan Holder, Ramesh Kumar Sah, Michael Cleveland, Hassan Ghasemzadeh
Comparing the Predictability of Sensor Modalities to Detect Stress from Wearable Sensor Data. CCNC (2022)
Ramesh Kumar Sah, Seyed-Iman Mirzadeh, Hassan Ghasemzadeh
Continual Learning for Activity Recognition. EMBC (2022)
Parastoo Alinia, Saman Parvaneh, Seyed-Iman Mirzadeh, Asiful Arefeen, Hassan Ghasemzadeh
Boosting Lying Posture Classification with Transfer Learning. EMBC (2022)
Ramesh Kumar Sah, Michael McDonell, Patricia Pendry, Sara Parent, Hassan Ghasemzadeh, Michael J. Cleveland
ADARP: A Multi Modal Dataset for Stress and Alcohol Relapse Quantification in Real Life Setting. BSN (2022)
Ramesh Kumar Sah, Michael McDonell, Patricia Pendry, Sara Parent, Hassan Ghasemzadeh, Michael J. Cleveland
ADARP: A Multi Modal Dataset for Stress and Alcohol Relapse Quantification in Real Life Setting. CoRR (2022)
Bingnan Zhou, Farnaz Mohammadi, Jung S. Lim, Negin Forouzesh, Hassan Ghasemzadeh, Navid Amini
Analysis of Macular Thickness Deviation Maps for Diagnosis of Glaucoma. ISVC (2) (2021)
Anbumalar Saravanan, Justin Sanchez, Hassan Ghasemzadeh, Aurelia Macabasco-O'Connell, Hamed Tabkhi
Single Run Action Detector over Video Stream - A Privacy Preserving Approach. CoRR (2021)
Seyed-Iman Mirzadeh, Mehrdad Farajtabar, Dilan Görür, Razvan Pascanu, Hassan Ghasemzadeh
Linear Mode Connectivity in Multitask and Continual Learning. ICLR (2021)
Seyed-Iman Mirzadeh, Hassan Ghasemzadeh
CL-Gym: Full-Featured PyTorch Library for Continual Learning. CVPR Workshops (2021)
Ramesh Kumar Sah, Hassan Ghasemzadeh
Stress Classification and Personalization: Getting the most out of the least. CoRR (2021)
Seyed Ali Rokni, Marjan Nourollahi, Parastoo Alinia, Seyed-Iman Mirzadeh, Mahdi Pedram, Hassan Ghasemzadeh
TransNet: Minimally Supervised Deep Transfer Learning for Dynamic Adaptation of Wearable Systems. ACM Trans. Design Autom. Electr. Syst. 26 (1) (2021)
Asiful Arefeen, Ali Akbari, Seyed-Iman Mirzadeh, Roozbeh Jafari, Behrooz A. Shirazi, Hassan Ghasemzadeh
Inter-Beat Interval Estimation with Tiramisu Model: A Novel Approach with Reduced Error. CoRR (2021)
Seyed-Iman Mirzadeh, Mehrdad Farajtabar, Razvan Pascanu, Hassan Ghasemzadeh
Understanding the Role of Training Regimes in Continual Learning. CoRR (2020)
Seyed-Iman Mirzadeh, Mehrdad Farajtabar, Hassan Ghasemzadeh
Dropout as an Implicit Gating Mechanism For Continual Learning. CoRR (2020)
Parastoo Alinia, Seyed-Iman Mirzadeh, Hassan Ghasemzadeh
ActiLabel: A Combinatorial Transfer Learning Framework for Activity Recognition. CoRR (2020)
Parastoo Alinia, Ali Samadani, Mladen Milosevic, Hassan Ghasemzadeh, Saman Parvaneh
Pervasive Lying Posture Tracking. CoRR (2020)
Marjan Nourollahi, Seyed Ali Rokni, Parastoo Alinia, Hassan Ghasemzadeh
Proximity-based active learning for eating moment recognition in wearable systems. WearSys@MobiSys (2020)
Seyed-Iman Mirzadeh, Mehrdad Farajtabar, Hassan Ghasemzadeh
Dropout as an Implicit Gating Mechanism For Continual Learning. CVPR Workshops (2020)
Yuchao Ma, Andrew T. Campbell, Diane J. Cook, John C. Lach, Shwetak N. Patel, Thomas Ploetz, Majid Sarrafzadeh, Donna Spruijt-Metz, Hassan Ghasemzadeh
Transfer Learning for Activity Recognition in Mobile Health. CoRR (2020)
Seyed-Iman Mirzadeh, Hassan Ghasemzadeh
Optimal Policy for Deployment of Machine Learning Models on Energy-Bounded Systems. IJCAI (2020)
Niloofar Hezarjaribi, Zhila Esna Ashari, James F. Frenzel, Hassan Ghasemzadeh, Saied Hemati
Personality Assessment from Text for Machine Commonsense Reasoning. CoRR (2020)
Marjan Nourollahi, Seyed Ali Rokni, Hassan Ghasemzadeh
Proximity-Based Active Learning on Streaming Data: A Personalized Eating Moment Recognition. CoRR (2020)
Ramesh Kumar Sah, Hassan Ghasemzadeh
Adversarial Transferability in Wearable Sensor Systems. CoRR (2020)
Ramesh Kumar Sah, Hassan Ghasemzadeh, Assal Habibi, Michael McDonell, Patricia Pendry, Michael Cleveland
Poster: Mobile Health for Alcohol Recovery and Relapse Prevention. CHASE (2020)
Seyed-Iman Mirzadeh, Mehrdad Farajtabar, Ang Li, Nir Levine, Akihiro Matsukawa, Hassan Ghasemzadeh
Improved Knowledge Distillation via Teacher Assistant. AAAI (2020)
Seyed-Iman Mirzadeh, Mehrdad Farajtabar, Dilan Görür, Razvan Pascanu, Hassan Ghasemzadeh
Linear Mode Connectivity in Multitask and Continual Learning. CoRR (2020)
Shervin Hajiamini, Behrooz A. Shirazi, Aaron S. Crandall, Hassan Ghasemzadeh
A Dynamic Programming Framework for DVFS-Based Energy-Efficiency in Multicore Systems. IEEE Trans. Sustain. Comput. 5 (1) (2020)
Parastoo Alinia, Ali Samadani, Mladen Milosevic, Hassan Ghasemzadeh, Saman Parvaneh
Pervasive Lying Posture Tracking. Sensors 20 (20) (2020)
Ayca Aygun, Hassan Ghasemzadeh, Roozbeh Jafari
Robust Interbeat Interval and Heart Rate Variability Estimation Method From Various Morphological Features Using Wearable Sensors. IEEE J. Biomed. Health Informatics 24 (8) (2020)
Navid Amini, Jung S. Lim, Farnaz Mohammadi, Clinton Thodos, Benjamin Braun, Hassan Ghasemzadeh, Melissa W. Chun, Kouros Nouri-Mahdavi
Design and evaluation of a wearable assistive technology for hemianopic stroke patients. ISWC (2020)
Seyed-Iman Mirzadeh, Mehrdad Farajtabar, Razvan Pascanu, Hassan Ghasemzadeh
Understanding the Role of Training Regimes in Continual Learning. NeurIPS (2020)
Giancarlo Fortino, Hassan Ghasemzadeh, Raffaele Gravina, Peter X. Liu, Carmen C. Y. Poon, Zhelong Wang
Advances in multi-sensor fusion for body sensor networks: Algorithms, architectures, and applications. Inf. Fusion 45 (2019)
Mahdi Pedram, Seyed Ali Rokni, Marjan Nourollahi, Houman Homayoun, Hassan Ghasemzadeh
Resource-Efficient Wearable Computing for Real-Time Reconfigurable Machine Learning: A Cascading Binary Classification. CoRR (2019)
Maria Malik, Hassan Ghasemzadeh, Tinoosh Mohsenin, Rosario Cammarota, Liang Zhao, Avesta Sasan, Houman Homayoun, Setareh Rafatirad
ECoST: Energy-Efficient Co-Locating and Self-Tuning MapReduce Applications. ICPP (2019)
Ramesh Kumar Sah, Hassan Ghasemzadeh
Adar: Adversarial Activity Recognition in Wearables. ICCAD (2019)
Zhila Esna Ashari, Hassan Ghasemzadeh
Mindful Active Learning. CoRR (2019)
Niloofar Hezarjaribi, Sepideh Mazrouee, Saied Hemati, Naomi Chaytor, Martine Perrigue, Hassan Ghasemzadeh
Human-in-the-loop Learning for Personalized Diet Monitoring from Unstructured Mobile Data. ACM Trans. Interact. Intell. Syst. 9 (4) (2019)
Zhila Esna Ashari, Hassan Ghasemzadeh
Mindful Active Learning. IJCAI (2019)
Mahdi Pedram, Seyed Ali Rokni, Marjan Nourollahi, Houman Homayoun, Hassan Ghasemzadeh
Resource-Efficient Wearable Computing for Real-Time Reconfigurable Machine Learning: A Cascading Binary Classification. BSN (2019)
Seyed Ali Rokni, Hassan Ghasemzadeh
Share-n-Learn: A Framework for Sharing Activity Recognition Models in Wearable Systems With Context-Varying Sensors. ACM Trans. Design Autom. Electr. Syst. 24 (4) (2019)
Seyed-Iman Mirzadeh, Mehrdad Farajtabar, Ang Li, Hassan Ghasemzadeh
Improved Knowledge Distillation via Teacher Assistant: Bridging the Gap Between Student and Teacher. CoRR (2019)
Josué Pagán, Ramin Fallahzadeh, Mahdi Pedram, José L. Risco-Martín, José Manuel Moya, José L. Ayala, Hassan Ghasemzadeh
Toward Ultra-Low-Power Remote Health Monitoring: An Optimal and Adaptive Compressed Sensing Framework for Activity Recognition. IEEE Trans. Mob. Comput. 18 (3) (2019)
Mahsan Rofouei, Mahdi Pedram, Francesco Fraternali, Zhila Esna Ashari, Hassan Ghasemzadeh
Resource-Efficient Computing in Wearable Systems. SMARTCOMP (2019)
Yuchao Ma, Hassan Ghasemzadeh
LabelForest: Non-Parametric Semi-Supervised Learning for Activity Recognition. AAAI (2019)
Mahdi Pedram, Mahsan Rofouei, Francesco Fraternali, Zhila Esna Ashari, Hassan Ghasemzadeh
Resource-Efficient Computing in Wearable Systems. CoRR (2019)
Maria Malik, Katayoun Neshatpour, Setareh Rafatirad, Rajiv V. Joshi, Tinoosh Mohsenin, Hassan Ghasemzadeh, Houman Homayoun
Big vs little core for energy-efficient Hadoop computing. J. Parallel Distributed Comput. 129 (2019)
Seyed Ali Rokni, Marjan Nourollahi, Hassan Ghasemzadeh
Personalized Human Activity Recognition Using Convolutional Neural Networks. AAAI (2018)
Niloofar Hezarjaribi, Rabijit Dutta, Tao Xing, Gordon K. Murdoch, Sepideh Mazrouee, Bobak J. Mortazavi, Hassan Ghasemzadeh
Monitoring Lung Mechanics during Mechanical Ventilation using Machine Learning Algorithms. EMBC (2018)
Katayoun Neshatpour, Hosein Mohammadi Makrani, Avesta Sasan, Hassan Ghasemzadeh, Setareh Rafatirad, Houman Homayoun
Design Space Exploration for Hardware Acceleration of Machine Learning Applications in MapReduce. FCCM (2018)
Katayoun Neshatpour, Maria Malik, Avesta Sasan, Setareh Rafatirad, Tinoosh Mohsenin, Hassan Ghasemzadeh, Houman Homayoun
Energy-efficient acceleration of MapReduce applications using FPGAs. J. Parallel Distributed Comput. 119 (2018)
Shervin Hajiamini, Behrooz A. Shirazi, Aaron S. Crandall, Hassan Ghasemzadeh, Chris Cain
Impact of Cache Voltage Scaling on Energy-Time Pareto Frontier in Multicore Systems. Sustain. Comput. Informatics Syst. 18 (2018)
Ramin Fallahzadeh, Hassan Ghasemzadeh
Trading Off Power Consumption and Prediction Performance in Wearable Motion Sensors: An Optimal and Real-Time Approach. ACM Trans. Design Autom. Electr. Syst. 23 (5) (2018)
Ladislau Matekovits, Giancarlo Fortino, Zhelong Wang, Hassan Ghasemzadeh, Valeria Loscrì, Ildiko Peter, Matti Hämäläinen
IEEE Access Special Section Editorial: Body Area Networks. IEEE Access 6 (2018)
Seyed Ali Rokni, Hassan Ghasemzadeh
Autonomous Training of Activity Recognition Algorithms in Mobile Sensors: A Transfer Learning Approach in Context-Invariant Views. IEEE Trans. Mob. Comput. 17 (8) (2018)
Katayoun Neshatpour, Hosein Mohammadi Makrani, Avesta Sasan, Hassan Ghasemzadeh, Setareh Rafatirad, Houman Homayoun
Architectural considerations for FPGA acceleration of machine learning applications in MapReduce. SAMOS (2018)
Yuchao Ma, Samaneh Aminikhanghahi, Shane Wilhelm, Wesley Daniel Thorsen, Evan Conley Coleman, Hassan Ghasemzadeh
Toward visual field assessment using head-worn sensing devices. BSN (2018)
Seyed Ali Rokni, Marjan Nourollahi, Hassan Ghasemzadeh
Personalized Human Activity Recognition Using Convolutional Neural Networks. CoRR (2018)
Niloofar Hezarjaribi, Sepideh Mazrouee, Hassan Ghasemzadeh
Speech2Health: A Mobile Framework for Monitoring Dietary Composition From Spoken Data. IEEE J. Biomed. Health Informatics 22 (1) (2018)
Shervin Hajiamini, Behrooz A. Shirazi, Aaron S. Crandall, Hassan Ghasemzadeh
A Dynamic Programming Technique for Energy-Efficient Multicore Systems. IGSC (2018)
Ramin Fallahzadeh, Parastoo Alinia, Hassan Ghasemzadeh
Learn-on-the-go: Autonomous cross-subject context learning for internet-of-things applications. ICCAD (2017)
Raffaele Gravina, Parastoo Alinia, Hassan Ghasemzadeh, Giancarlo Fortino
Multi-sensor fusion in body sensor networks: State-of-the-art and research challenges. Inf. Fusion 35 (2017)
Mahdi Pedram, Seyed Ali Rokni, Ramin Fallahzadeh, Hassan Ghasemzadeh
A beverage intake tracking system based on machine learning algorithms, and ultrasonic and color sensors: poster abstract. IPSN (2017)
Ramin Fallahzadeh, Josué Pagán Ortiz, Hassan Ghasemzadeh
Adaptive compressed sensing at the fingertip of Internet-of-Things sensors: An ultra-low power activity recognition. DATE (2017)
Ramin Fallahzadeh, Bryan David Minor, Lorraine S. Evangelista, Diane J. Cook, Hassan Ghasemzadeh
Mobile sensing to improve medication adherence: demo abstract. IPSN (2017)
Ramin Fallahzadeh, Yuchao Ma, Hassan Ghasemzadeh
Context-Aware System Design for Remote Health Monitoring: An Application to Continuous Edema Assessment. IEEE Trans. Mob. Comput. 16 (8) (2017)
Ramin Fallahzadeh, Hassan Ghasemzadeh
Personalization without user interruption: boosting activity recognition in new subjects using unlabeled data. ICCPS (2017)
Yuchao Ma, Hassan Ghasemzadeh
Head-mounted sensors and wearable computing for automatic tunnel vision assessment. DATE (2017)
Seyed Ali Rokni, Hassan Ghasemzadeh
Synchronous dynamic view learning: a framework for autonomous training of activity recognition models using wearable sensors. IPSN (2017)
Josué Pagán, Ramin Fallahzadeh, Hassan Ghasemzadeh, José Manuel Moya, José Luis Risco-Martín, José L. Ayala
An optimal approach for low-power migraine prediction models in the state-of-the-art wireless monitoring devices. DATE (2017)
Hassan Ghasemzadeh, Ramin Fallahzadeh, Roozbeh Jafari
A Hardware-Assisted Energy-Efficient Processing Model for Activity Recognition Using Wearables. ACM Trans. Design Autom. Electr. Syst. 21 (4) (2016)
Parastoo Alinia, Ramyar Saeedi, Ramin Fallahzadeh, Seyed Ali Rokni, Hassan Ghasemzadeh
A Reliable and Reconfigurable Signal Processing Framework for Estimation of Metabolic Equivalent of Task in Wearable Sensors. IEEE J. Sel. Top. Signal Process. 10 (5) (2016)
Seyed Ali Rokni, Hassan Ghasemzadeh
Plug-n-learn: automatic learning of computational algorithms in human-centered internet-of-things applications. DAC (2016)
Seyed Ali Rokni, Hassan Ghasemzadeh
Autonomous sensor-context learning in dynamic human-centered internet-of-things environments. ICCAD (2016)
Ramyar Saeedi, Hassan Ghasemzadeh, Assefaw Hadish Gebremedhin
Transfer learning algorithms for autonomous reconfiguration of wearable systems. IEEE BigData (2016)
Yuchao Ma, Hassan Ghasemzadeh
An asynchronous multi-view learning approach for activity recognition using wearables. EMBC (2016)
Niloofar Hezarjaribi, Cody A. Reynolds, Drew T. Miller, Naomi Chaytor, Hassan Ghasemzadeh
S2NI: A mobile platform for nutrition monitoring from spoken data. EMBC (2016)
Niloofar Hezarjaribi, Ramin Fallahzadeh, Hassan Ghasemzadeh
A machine learning approach for medication adherence monitoring using body-worn sensors. DATE (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Hassan Ghasemzadeh