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ORCIDHassan Ghasemzadeh 0001
Person information
- affiliation: Washington State University, School of Electrical Engineering and Computer Science, Pullman, WA, USA
- affiliation: University of California, Los Angeles, Wireless Health Institute, CA, USA
- affiliation: San Diego State University, Biological & Medical Informatics Research Center, CA, USA
- affiliation: Gary and Mary West Wireless Health Institute, La Jolla, CA, USA
- affiliation (PhD 2010): University of Texas at Dallas, Department of Electrical Engineering, Richardson, TX, USA
Other persons with the same name
- Hassan Ghasemzadeh Mohammadi (aka: Hassan Ghasemzadeh 0002) — Paderborn University, Department of Computer Science, Germany (and 2 more)
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2020 – today
- 2025
[c100]Shovito Barua Soumma, Abdullah Mamun, Hassan Ghasemzadeh:
Domain-Informed Label Fusion Surpasses LLMs in Free-Living Activity Classification (Student Abstract). AAAI 2025: 29495-29497- [i35]Ebrahim Farahmand, Reza Rahimi Azghan, Nooshin Taheri-Chatrudi, Eric Kim, Gautham Krishna Gudur, Edison Thomaz, Giulia Pedrielli, Pavan K. Turaga, Hassan Ghasemzadeh:
AttenGluco: Multimodal Transformer-Based Blood Glucose Forecasting on AI-READI Dataset. CoRR abs/2502.09919 (2025) - [i34]Saman Khamesian, Asiful Arefeen, Adela Grando, Bithika Thompson, Hassan Ghasemzadeh:
Type 1 Diabetes Management using GLIMMER: Glucose Level Indicator Model with Modified Error Rate. CoRR abs/2502.14183 (2025) - [i33]Saman Khamesian, Asiful Arefeen, Stephanie Marita Carpenter, Hassan Ghasemzadeh:
NutriGen: Personalized Meal Plan Generator Leveraging Large Language Models to Enhance Dietary and Nutritional Adherence. CoRR abs/2502.20601 (2025) - [i32]Abdullah Mamun, Asiful Arefeen, Susan B. Racette, Dorothy D. Sears, Corrie M. Whisner, Matthew P. Buman, Hassan Ghasemzadeh:
GlucoLens: Explainable Postprandial Blood Glucose Prediction from Diet and Physical Activity. CoRR abs/2503.03935 (2025) - [i31]Abdullah Mamun, Diane J. Cook, Hassan Ghasemzadeh:
AIMI: Leveraging Future Knowledge and Personalization in Sparse Event Forecasting for Treatment Adherence. CoRR abs/2503.16091 (2025) - 2024
- [j46]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): 1:1-1:19 (2024) - [j45]Ramesh Kumar Sah, Hassan Ghasemzadeh:
Adversarial Transferability in Embedded Sensor Systems: An Activity Recognition Perspective. ACM Trans. Embed. Comput. Syst. 23(2): 20:1-20:31 (2024) - [c99]Asiful Arefeen, Saman Khamesian, María Adela Grando, Bithika Thompson, Hassan Ghasemzadeh:
GlyMan: Glycemic Management using Patient-Centric Counterfactuals. BHI 2024: 1-5 - [c98]Ramesh Kumar Sah, Nooshin Taheri-Chatrudi, Stephanie Marita Carpenter, Hassan Ghasemzadeh:
Minimum-Cost Channel Selection in Wearables. BSN 2024: 1-4 - [c97]Nooshin Taheri-Chatrudi, Will Clegern, Robert Hager, Lonnie Nelson, Hassan Ghasemzadeh:
Wavelet-Augmented Self-Supervised Learning for Accurate Classification of Cognitive Workload. BSN 2024: 1-4 - [i30]Ramesh Kumar Sah, Hassan Ghasemzadeh:
Minimum-Cost Sensor Channel Selection For Wearable Computing. CoRR abs/2402.00875 (2024) - [i29]Reza Rahimi Azghan, Nicholas C. Glodosky, Ramesh Kumar Sah, Carrie Cuttler, Ryan McLaughlin, Michael J. Cleveland, Hassan Ghasemzadeh:
CUDLE: Learning Under Label Scarcity to Detect Cannabis Use in Uncontrolled Environments. CoRR abs/2410.03211 (2024) - [i28]Abdullah Mamun, Lawrence D. Devoe, Mark I. Evans, David W. Britt, Judith Klein-Seetharaman, Hassan Ghasemzadeh:
Use of What-if Scenarios to Help Explain Artificial Intelligence Models for Neonatal Health. CoRR abs/2410.09635 (2024) - [i27]Abdullah Mamun, Krista S. Leonard, Megan E. Petrov, Matthew P. Buman, Hassan Ghasemzadeh:
Multimodal Physical Activity Forecasting in Free-Living Clinical Settings: Hunting Opportunities for Just-in-Time Interventions. CoRR abs/2410.09643 (2024) - [i26]Shovito Barua Soumma, Kartik Mangipudi, Daniel Peterson, Shyamal Mehta, Hassan Ghasemzadeh:
Wearable-Based Real-time Freezing of Gait Detection in Parkinson's Disease Using Self-Supervised Learning. CoRR abs/2410.20715 (2024) - [i25]Shovito Barua Soumma, Kartik Mangipudi, Daniel Peterson, Shyamal Mehta, Hassan Ghasemzadeh:
Self-Supervised Learning and Opportunistic Inference for Continuous Monitoring of Freezing of Gait in Parkinson's Disease. CoRR abs/2410.21326 (2024) - [i24]Ebrahim Farahmand, Shovito Barua Soumma, Nooshin Taheri-Chatrudi, Hassan Ghasemzadeh:
Hybrid Attention Model Using Feature Decomposition and Knowledge Distillation for Glucose Forecasting. CoRR abs/2411.10703 (2024) - [i23]Shovito Barua Soumma, S. M. Raihanul Alam, Rudmila Rahman, Umme Niraj Mahi, Abdullah Mamun, Sayyed Mostafa Mostafavi, Hassan Ghasemzadeh:
Freezing of Gait Detection Using Gramian Angular Fields and Federated Learning from Wearable Sensors. CoRR abs/2411.11764 (2024) - 2023
- [j44]Oliver Amft, Hassan Ghasemzadeh:
Pandemic Preparedness With Pervasive Computing. IEEE Pervasive Comput. 22(4): 4-6 (2023) - [j43]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): 6337 (2023) - [j42]Ramesh Kumar Sah, Michael J. Cleveland, Hassan Ghasemzadeh:
Stress Monitoring in Free-Living Environments. IEEE J. Biomed. Health Informatics 27(12): 5699-5709 (2023) - [j41]Ramin Fallahzadeh, Zhila Esna Ashari, Parastoo Alinia, Hassan Ghasemzadeh:
Personalized Activity Recognition Using Partially Available Target Data. IEEE Trans. Mob. Comput. 22(1): 374-388 (2023) - [c96]Asiful Arefeen, Hassan Ghasemzadeh:
GlySim: Modeling and Simulating Glycemic Response for Behavioral Lifestyle Interventions. BHI 2023: 1-5 - [c95]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: 1-4 - [c94]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: 1-4 - [c93]Prisha Shroff, Asiful Arefeen, Hassan Ghasemzadeh:
GlucoseAssist: Personalized Blood Glucose Level Predictions and Early Dysglycemia Detection. BSN 2023: 1-4 - [c92]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: 601-609 - [i22]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 abs/2301.07051 (2023) - [i21]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 abs/2303.09366 (2023) - [i20]Asiful Arefeen, Hassan Ghasemzadeh:
Designing User-Centric Behavioral Interventions to Prevent Dysglycemia with Novel Counterfactual Explanations. CoRR abs/2310.01684 (2023) - [i19]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 abs/2311.09238 (2023) - 2022
- [j40]Zhila Esna Ashari, Naomi Chaytor, Diane J. Cook, Hassan Ghasemzadeh:
Memory-Aware Active Learning in Mobile Sensing Systems. IEEE Trans. Mob. Comput. 21(1): 181-195 (2022) - [c91]Asiful Arefeen, Samantha Fessler, Carol Johnston, Hassan Ghasemzadeh:
Forewarning Postprandial Hyperglycemia with Interpretations using Machine Learning. BSN 2022: 1-4 - [c90]Abdullah Mamun, Krista S. Leonard, Matthew P. Buman, Hassan Ghasemzadeh:
Multimodal Time-Series Activity Forecasting for Adaptive Lifestyle Intervention Design. BSN 2022: 1-4 - [c89]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: 1-4 - [c88]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: 1-4 - [c87]Ryan Holder, Ramesh Kumar Sah, Michael Cleveland, Hassan Ghasemzadeh:
Comparing the Predictability of Sensor Modalities to Detect Stress from Wearable Sensor Data. CCNC 2022: 557-562 - [c86]Asiful Arefeen, Niloo Jaribi, Bobak J. Mortazavi, Hassan Ghasemzadeh:
Computational Framework for Sequential Diet Recommendation: Integrating Linear Optimization and Clinical Domain Knowledge. CHASE 2022: 91-98 - [c85]Parastoo Alinia, Saman Parvaneh, Seyed-Iman Mirzadeh, Asiful Arefeen, Hassan Ghasemzadeh:
Boosting Lying Posture Classification with Transfer Learning. EMBC 2022: 109-114 - [c84]Ramesh Kumar Sah, Seyed-Iman Mirzadeh, Hassan Ghasemzadeh:
Continual Learning for Activity Recognition. EMBC 2022: 2416-2420 - [c83]Abdullah Mamun, Seyed-Iman Mirzadeh, Hassan Ghasemzadeh:
Designing Deep Neural Networks Robust to Sensor Failure in Mobile Health Environments. EMBC 2022: 2442-2446 - [c82]Ramesh Kumar Sah, Michael J. Cleveland, Assal Habibi, Hassan Ghasemzadeh:
Stressalyzer: Convolutional Neural Network Framework for Personalized Stress Classification. EMBC 2022: 4658-4663 - [i18]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 abs/2206.14568 (2022) - 2021
- [j39]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): 5:1-5:31 (2021) - [c81]Seyed-Iman Mirzadeh, Hassan Ghasemzadeh:
CL-Gym: Full-Featured PyTorch Library for Continual Learning. CVPR Workshops 2021: 3621-3627 - [c80]Seyed-Iman Mirzadeh, Mehrdad Farajtabar, Dilan Görür, Razvan Pascanu, Hassan Ghasemzadeh:
Linear Mode Connectivity in Multitask and Continual Learning. ICLR 2021 - [c79]Bingnan Zhou, Farnaz Mohammadi, Jung Soo Lim, Negin Forouzesh, Hassan Ghasemzadeh, Navid Amini:
Analysis of Macular Thickness Deviation Maps for Diagnosis of Glaucoma. ISVC (2) 2021: 53-64 - [i17]Anbumalar Saravanan, Justin Sanchez, Hassan Ghasemzadeh, Aurelia Macabasco-O'Connell, Hamed Tabkhi:
Single Run Action Detector over Video Stream - A Privacy Preserving Approach. CoRR abs/2102.03391 (2021) - [i16]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 abs/2107.00693 (2021) - [i15]Ramesh Kumar Sah, Hassan Ghasemzadeh:
Stress Classification and Personalization: Getting the most out of the least. CoRR abs/2107.05666 (2021) - 2020
- [j38]Parastoo Alinia, Ali Samadani, Mladen Milosevic, Hassan Ghasemzadeh, Saman Parvaneh:
Pervasive Lying Posture Tracking. Sensors 20(20): 5953 (2020) - [j37]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): 2238-2250 (2020) - [j36]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): 1-12 (2020) - [c78]Seyed-Iman Mirzadeh, Mehrdad Farajtabar, Ang Li, Nir Levine, Akihiro Matsukawa, Hassan Ghasemzadeh:
Improved Knowledge Distillation via Teacher Assistant. AAAI 2020: 5191-5198 - [c77]Ramesh Kumar Sah, Hassan Ghasemzadeh, Assal Habibi, Michael McDonell, Patricia Pendry, Michael Cleveland:
Poster: Mobile Health for Alcohol Recovery and Relapse Prevention. CHASE 2020: 18-19 - [c76]Seyed-Iman Mirzadeh, Mehrdad Farajtabar, Hassan Ghasemzadeh:
Dropout as an Implicit Gating Mechanism For Continual Learning. CVPR Workshops 2020: 945-951 - [c75]Seyed-Iman Mirzadeh, Hassan Ghasemzadeh:
Optimal Policy for Deployment of Machine Learning Models on Energy-Bounded Systems. IJCAI 2020: 3422-3429 - [c74]Navid Amini, Jung Soo 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: 7-11 - [c73]Marjan Nourollahi, Seyed Ali Rokni, Parastoo Alinia, Hassan Ghasemzadeh:
Proximity-based active learning for eating moment recognition in wearable systems. WearSys@MobiSys 2020: 7-12 - [c72]Seyed-Iman Mirzadeh, Mehrdad Farajtabar, Razvan Pascanu, Hassan Ghasemzadeh:
Understanding the Role of Training Regimes in Continual Learning. NeurIPS 2020 - [i14]Parastoo Alinia, Seyed-Iman Mirzadeh, Hassan Ghasemzadeh:
ActiLabel: A Combinatorial Transfer Learning Framework for Activity Recognition. CoRR abs/2003.07415 (2020) - [i13]Ramesh Kumar Sah, Hassan Ghasemzadeh:
Adversarial Transferability in Wearable Sensor Systems. CoRR abs/2003.07982 (2020) - [i12]Marjan Nourollahi, Seyed Ali Rokni, Hassan Ghasemzadeh:
Proximity-Based Active Learning on Streaming Data: A Personalized Eating Moment Recognition. CoRR abs/2003.13098 (2020) - [i11]Niloofar Hezarjaribi, Zhila Esna Ashari, James F. Frenzel, Hassan Ghasemzadeh, Saied Hemati:
Personality Assessment from Text for Machine Commonsense Reasoning. CoRR abs/2004.09275 (2020) - [i10]Seyed-Iman Mirzadeh, Mehrdad Farajtabar, Hassan Ghasemzadeh:
Dropout as an Implicit Gating Mechanism For Continual Learning. CoRR abs/2004.11545 (2020) - [i9]Seyed-Iman Mirzadeh, Mehrdad Farajtabar, Razvan Pascanu, Hassan Ghasemzadeh:
Understanding the Role of Training Regimes in Continual Learning. CoRR abs/2006.06958 (2020) - [i8]Parastoo Alinia, Ali Samadani, Mladen Milosevic, Hassan Ghasemzadeh, Saman Parvaneh:
Pervasive Lying Posture Tracking. CoRR abs/2006.10931 (2020) - [i7]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 abs/2007.06062 (2020) - [i6]Seyed-Iman Mirzadeh, Mehrdad Farajtabar, Dilan Görür, Razvan Pascanu, Hassan Ghasemzadeh:
Linear Mode Connectivity in Multitask and Continual Learning. CoRR abs/2010.04495 (2020)
2010 – 2019
- 2019
- [j35]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: 150-152 (2019) - [j34]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: 110-124 (2019) - [j33]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): 23:1-23:24 (2019) - [j32]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): 658-673 (2019) - [j31]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): 39:1-39:27 (2019) - [c71]Yuchao Ma, Hassan Ghasemzadeh:
LabelForest: Non-Parametric Semi-Supervised Learning for Activity Recognition. AAAI 2019: 4520-4527 - [c70]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: 1-4 - [c69]Ramesh Kumar Sah, Hassan Ghasemzadeh:
Adar: Adversarial Activity Recognition in Wearables. ICCAD 2019: 1-8 - [c68]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: 7:1-7:11 - [c67]Zhila Esna Ashari, Hassan Ghasemzadeh:
Mindful Active Learning. IJCAI 2019: 2265-2271 - [c66]Mahsan Rofouei, Mahdi Pedram, Francesco Fraternali, Zhila Esna Ashari, Hassan Ghasemzadeh:
Resource-Efficient Computing in Wearable Systems. SMARTCOMP 2019: 150-155 - [i5]Seyed-Iman Mirzadeh, Mehrdad Farajtabar, Ang Li, Hassan Ghasemzadeh:
Improved Knowledge Distillation via Teacher Assistant: Bridging the Gap Between Student and Teacher. CoRR abs/1902.03393 (2019) - [i4]Mahdi Pedram, Mahsan Rofouei, Francesco Fraternali, Zhila Esna Ashari, Hassan Ghasemzadeh:
Resource-Efficient Computing in Wearable Systems. CoRR abs/1907.03247 (2019) - [i3]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 abs/1907.03250 (2019) - [i2]Zhila Esna Ashari, Hassan Ghasemzadeh:
Mindful Active Learning. CoRR abs/1907.12003 (2019) - 2018
- [j30]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: 30990-30995 (2018) - [j29]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: 1-17 (2018) - [j28]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: 54-65 (2018) - [j27]Niloofar Hezarjaribi, Sepideh Mazrouee, Hassan Ghasemzadeh:
Speech2Health: A Mobile Framework for Monitoring Dietary Composition From Spoken Data. IEEE J. Biomed. Health Informatics 22(1): 252-264 (2018) - [j26]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): 1764-1777 (2018) - [j25]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): 67:1-67:23 (2018) - [c65]Seyed Ali Rokni, Marjan Nourollahi, Hassan Ghasemzadeh:
Personalized Human Activity Recognition Using Convolutional Neural Networks. AAAI 2018: 8143-8144 - [c64]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: 118-121 - [c63]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: 1160-1163 - [c62]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: 221 - [c61]Shervin Hajiamini, Behrooz A. Shirazi, Aaron S. Crandall, Hassan Ghasemzadeh:
A Dynamic Programming Technique for Energy-Efficient Multicore Systems. IGSC 2018: 1-6 - [c60]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: 89-96 - [i1]Seyed Ali Rokni, Marjan Nourollahi, Hassan Ghasemzadeh:
Personalized Human Activity Recognition Using Convolutional Neural Networks. CoRR abs/1801.08252 (2018) - 2017
- [j24]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: 68-80 (2017) - [j23]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): 2159-2173 (2017) - [c59]Yuchao Ma, Hassan Ghasemzadeh:
Head-mounted sensors and wearable computing for automatic tunnel vision assessment. DATE 2017: 634-637 - [c58]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: 996-1001 - [c57]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: 1297-1302 - [c56]Ramin Fallahzadeh, Parastoo Alinia, Hassan Ghasemzadeh:
Learn-on-the-go: Autonomous cross-subject context learning for internet-of-things applications. ICCAD 2017: 360-367 - [c55]Ramin Fallahzadeh, Hassan Ghasemzadeh:
Personalization without user interruption: boosting activity recognition in new subjects using unlabeled data. ICCPS 2017: 293-302 - [c54]Seyed Ali Rokni, Hassan Ghasemzadeh:
Synchronous dynamic view learning: a framework for autonomous training of activity recognition models using wearable sensors. IPSN 2017: 79-90 - [c53]Ramin Fallahzadeh, Bryan David Minor, Lorraine S. Evangelista, Diane J. Cook, Hassan Ghasemzadeh:
Mobile sensing to improve medication adherence: demo abstract. IPSN 2017: 279-280 - [c52]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: 313-314 - 2016
- [j22]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): 842-853 (2016) - [j21]Mohamed Bakhouya, Masoud Daneshtalab, Maurizio Palesi, Hassan Ghasemzadeh:
Many-core System-on-Chip: architectures and applications. Microprocess. Microsystems 43: 1-3 (2016) - [j20]Yuchao Ma, Navid Amini, Hassan Ghasemzadeh:
Wearable sensors for gait pattern examination in glaucoma patients. Microprocess. Microsystems 46: 67-74 (2016) - [j19]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): 58:1-58:27 (2016) - [c51]Ramyar Saeedi, Hassan Ghasemzadeh, Assefaw Hadish Gebremedhin:
Transfer learning algorithms for autonomous reconfiguration of wearable systems. IEEE BigData 2016: 563-569 - [c50]Seyed Ali Rokni, Hassan Ghasemzadeh:
Plug-n-learn: automatic learning of computational algorithms in human-centered internet-of-things applications. DAC 2016: 139:1-139:6 - [c49]Niloofar Hezarjaribi, Ramin Fallahzadeh, Hassan Ghasemzadeh:
A machine learning approach for medication adherence monitoring using body-worn sensors. DATE 2016: 842-845 - [c48]Niloofar Hezarjaribi, Cody A. Reynolds, Drew T. Miller, Naomi Chaytor, Hassan Ghasemzadeh:
S2NI: A mobile platform for nutrition monitoring from spoken data. EMBC 2016: 1991-1994 - [c47]Yuchao Ma, Hassan Ghasemzadeh:
An asynchronous multi-view learning approach for activity recognition using wearables. EMBC 2016: 3105-3108 - [c46]Ramin Fallahzadeh, Mahdi Pedram, Hassan Ghasemzadeh:
SmartSock: A wearable platform for context-aware assessment of ankle edema. EMBC 2016: 6302-6306 - [c45]Seyed Ali Rokni, Hassan Ghasemzadeh:
Autonomous sensor-context learning in dynamic human-centered internet-of-things environments. ICCAD 2016: 75 - [c44]Ramin Fallahzadeh, Hassan Ghasemzadeh:
CyHOP: A generic framework for real-time power-performance optimization in networked wearable motion sensors. ICCD 2016: 428-431 - [c43]Ramyar Saeedi, Ramin Fallahzadeh, Parastoo Alinia, Hassan Ghasemzadeh:
An Energy-Efficient Computational Model for Uncertainty Management in Dynamically Changing Networked Wearables. ISLPED 2016: 46-51 - 2015
- [j18]Bobak Mortazavi, Mohammad Pourhomayoun, Hassan Ghasemzadeh, Roozbeh Jafari, Christian K. Roberts, Majid Sarrafzadeh:
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. 2(1): 84-93 (2015) - [j17]Nabil Alshurafa, Jo-Ann Eastwood, Suneil Nyamathi, Jason J. Liu, Wenyao Xu, Hassan Ghasemzadeh, Mohammad Pourhomayoun, Majid Sarrafzadeh:
Improving Compliance in Remote Healthcare Systems Through Smartphone Battery Optimization. IEEE J. Biomed. Health Informatics 19(1): 57-63 (2015) - [j16]Hassan Ghasemzadeh, Navid Amini, Ramyar Saeedi, Majid Sarrafzadeh:
Power-Aware Computing in Wearable Sensor Networks: An Optimal Feature Selection. IEEE Trans. Mob. Comput. 14(4): 800-812 (2015) - [c42]Parastoo Alinia, Ramyar Saeedi, Bobak Mortazavi, Seyed Ali Rokni, Hassan Ghasemzadeh:
Impact of sensor misplacement on estimating metabolic equivalent of task with wearables. BSN 2015: 1-6 - [c41]Yuchao Ma, Ramin Fallahzadeh, Hassan Ghasemzadeh:
Toward robust and platform-agnostic gait analysis. BSN 2015: 1-6 - [c40]Ramin Fallahzadeh, Mahdi Pedram, Ramyar Saeedi, Bahman Sadeghi, Michael K. Ong, Hassan Ghasemzadeh:
Smart-Cuff: A wearable bio-sensing platform with activity-sensitive information quality assessment for monitoring ankle edema. PerCom Workshops 2015: 57-62 - [c39]Yuchao Ma, Sharon Henry, Alex Kierlanczyk, Majid Sarrafzadeh, Joseph Caprioli, Kouros Nouri-Mahdavi, Hassan Ghasemzadeh, Navid Amini:
Investigation of gait characteristics in glaucoma patients with a shoe-integrated sensing system. PerCom Workshops 2015: 433-438 - [e1]Emmanuel Baccelli, Hassan Ghasemzadeh, Gustavo Marfia, Krishna Kumar Venkatasubramanian:
Proceedings of the 2015 Workshop on Pervasive Wireless Healthcare, MobileHealth@MobiHoc 2015, Hangzhou, China, June 22, 2015. ACM 2015, ISBN 978-1-4503-3525-6 [contents] - 2014
- [j15]Hassan Ghasemzadeh, Pasquale Panuccio, Simone Trovato, Giancarlo Fortino, Roozbeh Jafari:
Power-Aware Activity Monitoring Using Distributed Wearable Sensors. IEEE Trans. Hum. Mach. Syst. 44(4): 537-544 (2014) - [j14]Bobak Mortazavi, Suneil Nyamathi, Sunghoon Ivan Lee, Thomas Wilkerson, Hassan Ghasemzadeh, Majid Sarrafzadeh:
Near-Realistic Mobile Exergames With Wireless Wearable Sensors. IEEE J. Biomed. Health Informatics 18(2): 449-456 (2014) - [c38]Ramyar Saeedi, Navid Amini, Hassan Ghasemzadeh:
Patient-centric on-body sensor localization in smart health systems. ACSSC 2014: 2081-2085 - [c37]Ramyar Saeedi, Janet Purath, Krishna K. Venkatasubramanian, Hassan Ghasemzadeh:
Toward seamless wearable sensing: Automatic on-body sensor localization for physical activity monitoring. EMBC 2014: 5385-5388 - [c36]Ramyar Saeedi, Brian Schimert, Hassan Ghasemzadeh:
Cost-sensitive feature selection for on-body sensor localization. UbiComp Adjunct 2014: 833-842 - [c35]Hassan Ghasemzadeh, Parisa Rashidi, Michael K. Ong, Diane J. Cook, Roozbeh Jafari, George Demiris, Misha Pavel, Marjorie Skubic:
SmartHealthSys 2014: ACM ubicomp international workshop on smart health systems and applications. UbiComp Adjunct 2014: 1179-1185 - [c34]Ryan A. Danas, Douglas T. Lally, Nathaniel W. Miller, John S. Synnott, Craig A. Shue, Hassan Ghasemzadeh, Krishna Kumar Venkatasubramanian:
Designing user-specific plug-n-play into body area networks. MobileHealth@MobiHoc 2014: 13-18 - 2013
- [j13]Hassan Ghasemzadeh, Roozbeh Jafari:
Ultra low-power signal processing in wearable monitoring systems: A tiered screening architecture with optimal bit resolution. ACM Trans. Embed. Comput. Syst. 13(1): 9:1-9:23 (2013) - [j12]Sunghoon Ivan Lee, Hassan Ghasemzadeh, Bobak Jack Mortazavi, Majid Sarrafzadeh:
A Pervasive Assessment of Motor Function: A Lightweight Grip Strength Tracking System. IEEE J. Biomed. Health Informatics 17(6): 1023-1030 (2013) - [c33]Sunghoon Ivan Lee, Hassan Ghasemzadeh, Bobak Jack Mortazavi, Andrew Yew, Ruth Getachew, Mehrdad Razaghy, Nima Ghalehsari, Brian H. Paak, Jordan H. Garst, Marie Espinal, Jon Kimball, Daniel C. Lu, Majid Sarrafzadeh:
Objective assessment of overexcited hand movements using a lightweight sensory device. BSN 2013: 1-6 - [c32]Hassan Ghasemzadeh, Behrooz A. Shirazi:
Context-aware signal processing in medical embedded systems: A dynamic feature selection approach. GlobalSIP 2013: 642-645 - [c31]Haik Kalantarian, Sunghoon Ivan Lee, Anurag Mishra, Hassan Ghasemzadeh, Jason J. Liu, Majid Sarrafzadeh:
Multimodal energy expenditure calculation for pervasive health: A data fusion model using wearable sensors. PerCom Workshops 2013: 676-681 - [c30]Sunghoon Ivan Lee, Hassan Ghasemzadeh, Bobak Mortazavi, Mars Lan, Nabil Alshurafa, Michael K. Ong, Majid Sarrafzadeh:
Remote patient monitoring: what impact can data analytics have on cost? Wireless Health 2013: 4:1-4:8 - 2012
- [j11]Vitali Loseu, Hassan Ghasemzadeh, Roozbeh Jafari:
A Mining Technique Using $N$ n-Grams and Motion Transcripts for Body Sensor Network Data Repository. Proc. IEEE 100(1): 107-121 (2012) - [j10]Eric Guenterberg, Hassan Ghasemzadeh, Roozbeh Jafari:
Automatic Segmentation and Recognition in Body Sensor Networks Using a Hidden Markov Model. ACM Trans. Embed. Comput. Syst. 11(S2): 46:1-46:19 (2012) - [c29]Mars Lan, Hassan Ghasemzadeh, Majid Sarrafzadeh:
Generalized precursor pattern discovery for biomedical signals. EMBC 2012: 2198-2201 - [c28]Myung-kyung Suh, Tannaz Moin, Jonathan Woodbridge, Mars Lan, Hassan Ghasemzadeh, Alex A. T. Bui, Sheila Ahmadi, Majid Sarrafzadeh:
Dynamic self-adaptive remote health monitoring system for diabetics. EMBC 2012: 2223-2226 - [c27]Myung-kyung Suh, Jonathan Woodbridge, Tannaz Moin, Mars Lan, Nabil Alshurafa, Lauren Samy, Bobak Mortazavi, Hassan Ghasemzadeh, Alex A. T. Bui, Sheila Ahmadi, Majid Sarrafzadeh:
Dynamic Task Optimization in Remote Diabetes Monitoring Systems. HISB 2012: 3-11 - [c26]Hassan Ghasemzadeh, Navid Amini, Majid Sarrafzadeh:
Energy-efficient signal processing in wearable embedded systems: an optimal feature selection approach. ISLPED 2012: 357-362 - [c25]Francesco Fraternali, Mahsan Rofouei, Nabil Alshurafa, Hassan Ghasemzadeh, Luca Benini, Majid Sarrafzadeh:
Opportunistic hierarchical classification for power optimization in wearable movement monitoring systems. SIES 2012: 102-111 - [c24]Mars Lan, Lauren Samy, Nabil Alshurafa, Myung-kyung Suh, Hassan Ghasemzadeh, Aurelia Macabasco-O'Connell, Majid Sarrafzadeh:
WANDA: an end-to-end remote health monitoring and analytics system for heart failure patients. Wireless Health 2012: 9:1-9:8 - 2011
- [j9]Hassan Ghasemzadeh, Roozbeh Jafari:
Physical Movement Monitoring Using Body Sensor Networks: A Phonological Approach to Construct Spatial Decision Trees. IEEE Trans. Ind. Informatics 7(1): 66-77 (2011) - [c23]Steven L. Garverick, Hassan Ghasemzadeh, Mark Zurcher, Masoud Roham, Enrique Saldivar:
Wireless Fetal Monitoring Device with Provisions for Multiple Births. BSN 2011: 113-118 - [c22]Vitali Loseu, Hassan Ghasemzadeh, Roozbeh Jafari:
A wireless communication selection approach to minimize energy-per-bit for wearable computing applications. DCOSS 2011: 1-8 - [c21]Hassan Ghasemzadeh, Roozbeh Jafari:
An Ultra Low Power Granular Decision Making Using Cross Correlation: Minimizing Signal Segments for Template Matching. ICCPS 2011: 77-86 - [c20]Hassan Ghasemzadeh, Roozbeh Jafari:
Ultra Low Power Granular Decision Making Using Cross Correlation: Optimizing Bit Resolution for Template Matching. IEEE Real-Time and Embedded Technology and Applications Symposium 2011: 137-146 - [c19]Pasquale Panuccio, Hassan Ghasemzadeh, Giancarlo Fortino, Roozbeh Jafari:
Power-aware action recognition with optimal sensor selection: an AdaBoost driven distributed template matching approach. mHealthSys@SenSys 2011: 5:1-5:6 - 2010
- [j8]Hassan Ghasemzadeh, Vitali Loseu, Sarah Ostadabbas, Roozbeh Jafari:
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. 28(7): 1073-1082 (2010) - [j7]Hassan Ghasemzadeh, Roozbeh Jafari, Balakrishnan Prabhakaran:
A body sensor network with electromyogram and inertial sensors: multimodal interpretation of muscular activities. IEEE Trans. Inf. Technol. Biomed. 14(2): 198-206 (2010) - [j6]Hassan Ghasemzadeh, Vitali Loseu, Roozbeh Jafari:
Structural action recognition in body sensor networks: distributed classification based on string matching. IEEE Trans. Inf. Technol. Biomed. 14(2): 425-435 (2010) - [c18]Hassan Ghasemzadeh, Roozbeh Jafari:
A greedy buffer allocation algorithm for power-aware communication in body sensor networks. CODES+ISSS 2010: 195-204 - [c17]Vitali Loseu, Hassan Ghasemzadeh, Roozbeh Jafari:
Toward power optimization for communication failure recovery in Body Sensor Networks. ICCPS 2010: 198 - [c16]Hassan Ghasemzadeh, Vitali Loseu, Roozbeh Jafari:
Collaborative signal processing for action recognition in body sensor networks: a distributed classification algorithm using motion transcripts. IPSN 2010: 244-255 - [c15]Hassan Ghasemzadeh, Roozbeh Jafari:
Body sensor networks for baseball swing training: Coordination analysis of human movements using motion transcripts. PerCom Workshops 2010: 792-795 - [c14]Vitali Loseu, Hassan Ghasemzadeh, Sarah Ostadabbas, Nikhil Raveendranathan, Jacques Malan, Roozbeh Jafari:
Applications of sensing platforms with wearable computers. PETRA 2010 - [c13]Hassan Ghasemzadeh, Roozbeh Jafari:
Data Aggregation in Body Sensor Networks: A Power Optimization Technique for Collaborative Signal Processing. SECON 2010: 439-447 - [c12]Vitali Loseu, Hassan Ghasemzadeh, Latifur R. Khan, Roozbeh Jafari:
A mining technique using n-grams and motion transcripts for body sensor network data repository. Wireless Health 2010: 94-103
2000 – 2009
- 2009
- [j5]Hassan Ghasemzadeh, Vitali Loseu, Roozbeh Jafari:
Wearable coach for sport training: A quantitative model to evaluate wrist-rotation in golf. J. Ambient Intell. Smart Environ. 1(2): 173-184 (2009) - [j4]Hassan Ghasemzadeh, Eric Guenterberg, Roozbeh Jafari:
Energy-Efficient Information-Driven Coverage for Physical Movement Monitoring in Body Sensor Networks. IEEE J. Sel. Areas Commun. 27(1): 58-69 (2009) - [j3]Daniel Câmara, Daniel Fokum, Eric Anderson, Hassan Ghasemzadeh, Yong Liu:
Report from HotMobile 2009. IEEE Pervasive Comput. 8(3): 94-96 (2009) - [j2]Roozbeh Jafari, Hassan Ghasemzadeh, Foad Dabiri, Ani Nahapetian, Majid Sarrafzadeh:
An efficient placement and routing technique for fault-tolerant distributed embedded computing. ACM Trans. Embed. Comput. Syst. 8(4): 28:1-28:26 (2009) - [j1]Eric Guenterberg, Allen Y. Yang, Hassan Ghasemzadeh, Roozbeh Jafari, Ruzena Bajcsy, Shankar Sastry:
A Method for Extracting Temporal Parameters Based on Hidden Markov Models in Body Sensor Networks With Inertial Sensors. IEEE Trans. Inf. Technol. Biomed. 13(6): 1019-1030 (2009) - [c11]Hassan Ghasemzadeh, Vitali Loseu, Eric Guenterberg, Roozbeh Jafari:
Sport training using body sensor networks: a statistical approach to measure wrist rotation for golf swing. BODYNETS 2009: 2 - [c10]Eric Guenterberg, Sarah Ostadabbas, Hassan Ghasemzadeh, Roozbeh Jafari:
An automatic segmentation technique in body sensor networks based on signal energy. BODYNETS 2009: 21 - [c9]Eric Guenterberg, Hassan Ghasemzadeh, Roozbeh Jafari:
A Distributed Hidden Markov Model for Fine-grained Annotation in Body Sensor Networks. BSN 2009: 339-344 - [c8]Hassan Ghasemzadeh, Nisha Jain, Marco Sgroi, Roozbeh Jafari:
Communication minimization for in-network processing in body sensor networks: A buffer assignment technique. DATE 2009: 358-363 - [c7]Eric Guenterberg, Hassan Ghasemzadeh, Vitali Loseu, Roozbeh Jafari:
Distributed Continuous Action Recognition Using a Hidden Markov Model in Body Sensor Networks. DCOSS 2009: 145-158 - 2008
- [c6]Hassan Ghasemzadeh, Eric Guenterberg, Katherine Gilani, Roozbeh Jafari:
Action coverage formulation for power optimization in body sensor networks. ASP-DAC 2008: 446-451 - [c5]Amardeep Sathyanarayana, Sandhya Nageswaren, Hassan Ghasemzadeh, Roozbeh Jafari, John H. L. Hansen:
Body sensor networks for driver distraction identification. ICVES 2008: 120-125 - [c4]Jaime Barnes, Vikram Ramachandra, Katherine Gilani, Eric Guenterberg, Hassan Ghasemzadeh, Roozbeh Jafari:
Locomotion Monitoring Using Body Sensor Networks. IPSN 2008: 555-556 - [c3]Hassan Ghasemzadeh, Jaime Barnes, Eric Guenterberg, Roozbeh Jafari:
A phonological expression for physical movement monitoring in body sensor networks. MASS 2008: 58-68 - 2007
- [c2]Mohammad Reza Kakoee, Hamid Shojaei, Hassan Ghasemzadeh, Marjan Sirjani, Zainalabedin Navabi:
A New Approach for Design and Verification of Transaction Level Models. ISCAS 2007: 3760-3763 - 2006
- [c1]Hassan Ghasemzadeh, Sepideh Mazrouee, Mohammad Reza Kakoee:
Modified Pseudo LRU Replacement Algorithm. ECBS 2006: 368-376
Coauthor Index
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