Publications

Navid Amini, Veronica Toriz, Jung S. Lim, Farnaz Mohammadi, Clinton Thodos, Benjamin Braun, Hassan Ghasemzadeh, Kouros Nouri-Mahdavi (2020). Design and Evaluation of a Wearable Assistive Technology for Hemianopic Stroke Patients. International Symposium on Wearable Computers (ISWC).

Seyed Ali Rokni, Marjan Nourollahi, Parastoo Alinia, Mahdi Pedram, Iman Mirzadeh, Hassan Ghasemzadeh (2020). TransNet: Minimally-Supervised Deep Transfer Learning for Dynamic Adaptation of Wearable Systems. ACM Transactions on Design Automation of Electronic Systems (TODAES).

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Yuchao Ma, Andrew Campbell, Diane Cook, John Lach, Shwetak Patel, Thomas Ploetz, Majid Sarrafzadeh, Donna Spruijt-Metz, Hassan Ghasemzadeh (2020). Transfer Learning for Activity Recognition in Mobile Health. DSHealth20.

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Iman Mirzadeh, Mehrdad Farajtabar, Hassan Ghasemzadeh (2020). Dropout as an Implicit Gating Mechanism For Continual Learning. CVPR 2020 Workshop on Continual Learning in Computer Vision (CLVISION), June 14, 2020, Seattle, WA, USA.

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Iman Mirzadeh, Hassan Ghasemzadeh (2020). Optimal Policy for Deployment of Machine Learning Modelson Energy-Bounded Systems. The 29th International Joint Conference on Artificial Intelligence (IJCAI), July 11–17th, 2020, Yokohama, Japan.

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Marjan Nourollahi, Ali Rokni, Parastoo Alinia, Hassan Ghasemzadeh (2020). Proximity-Based Active Learning for Eating Moment Recognition in WearableSystems. The 6th ACM Workshop on Wearable Systems and Applications (WearSys 2020) in Conjunction with ACM MobiSys 2020, June 19, 2020, Toronto, Canada.

Zhila Esna Ashari, Naomi S. Chaytor, Diane J. Cook, Hassan Ghasemzadeh (2020). Memory-Aware Active Learning in Mobile Sensing Systems. IEEE Transactions on Mobile Computing (TMC), 2020.

Mahdi Baghbanzadeh, Dewesh Kumar, Sare I Yavasoglu, Sydney Manning, Ahmad Ali Hanaﬁ-Bojd, Hassan Ghasemzadeh, Ifthekar Sikder, Dilip Kumar, Nisha Murmu, Ubydul Haque (2020). Malaria epidemics in India: Role of climatic condition and control measures. Science of The Total Environment, vol. 712, 136368 pages, April 2020.

Ramesh Sah, Hassan Ghasemzadeh (2020). Adversarial Transferability in Wearable Sensor Systems.. arXiv preprint arXiv:2003.07982.

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Parastoo Alinia, Iman Mirzadeh, Hassan Ghasemzadeh (2020). ActiLabel: A Combinatorial Transfer Learning Framework for Activity Recognition.. arXiv: Learning.

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Shervin Hajiamini, Behrooz Shirazi, Aaron Crandall, Hassan Ghasemzadeh (2020). A Dynamic Programming Framework for DVFS-Based Energy-Efficiency in Multicore Systems. IEEE Transactions on Sustainable Computing (TSUSC), vol. 5, no. 1, pp.1–12, January–March 2020.

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Josué Pagán, Ramin Fallahzadeh, Mahdi Pedram, José L. Risco-Martín, José Manuel Moya, José L. Ayala, Hassan Ghasemzadeh (2019). Toward Ultra-Low-Power Remote Health Monitoring: An Optimal and Adaptive Compressed Sensing Framework for Activity Recognition. IEEE Transactions on Mobile Computing (TMC), vol. 18, no. 3, pp. 658–673, March 2019.

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Seyed Ali Rokni, Hassan Ghasemzadeh (2019). Share-n-Learn: A Framework for Sharing Activity Recognition Models in Wearable Systems with Context-Varying Sensors. ACM Transactions on Design Automation of Electronic Systems (TODAES), vol. 24, no. 4, article 39, April 2019.

Ayca Aygun, Hassan Ghasemzadeh, Roozbeh Jafari (2019). Robust Interbeat Interval and Heart Rate Variability Estimation Method from Various Morphological Features using Wearable Sensors. IEEE Journal of Biomedical and Health Informatics (JBHI), December 2019.

Mahdi Pedram, Seyed Ali Rokni, Marjan Nourollahi, Houman Homayoun, Hassan Ghasemzadeh (2019). Resource-Efficient Wearable Computing for Real-Time Reconfigurable Machine Learning: A Cascading Binary Classification. The 16th IEEE International Conference on Wearable and Implantable Body Sensor Networks (BSN 19), Chicago, IL, USA.

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

(2019). Resource-Efficient Computing in Wearable Systems. 2019 IEEE International Conference on Smart Computing (SMARTCOMP), Washington DC, UAS.

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Zhila Esna Ashari, Hassan Ghasemzadeh (2019). Mindful Active Learning. CoRR.

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

Yuchao Ma, Hassan Ghasemzadeh (2019). LabelForest: Non-Parametric Semi-Supervised Learning for Activity Recognition. Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19), Honolulu, Hawaii, USA.

Niloofar Hezarjaribi, Sepideh Mazrouee, Saied Hemati, Naomi Chaytor, Martine Perrigue, Hassan Ghasemzadeh (2019). Human-in-the-loop Learning for Personalized Diet Monitoring from Unstructured Mobile Data. TiiS.

Niloofar Hezarjaribi, Sepideh Mazrouee, Saied Hemati, Naomi Chaytor, Martine Perrigue, Hassan Ghasemzadeh (2019). Human-in-the-Loop Learning for Personalized Diet Monitoring from Unstructured Mobile Data. ACM Transactions on Interactive Intelligent Systems (TiiS), Article No. 23, November 2019 (Recipient of 2019 ACM TiiS Honorable Mention).

Parastoo Alinia, Chris Cain, Ramin Fallahzadeh, Armin Shahrokhi, Diane Cook, Hassan Ghasemzadeh (2019). How Accurate Your Activity Tracker Is? A Comparative Study of Step Counts in Low-Intensity Physical Activities. Journal of Medical Internet Research (JMIR), vol. 5, no. 8, August, 2017.

Keyvan Sasani, Helen N. Catanese, Alireza Ghods, Seyed Ali Rokni, Hassan Ghasemzadeh, Robert J. Downey, Armin Shahrokni (2019). Gait Speed and Survival of Older Surgical Patient with Cancer: Prediction after Machine Learning. Journal of Geriatric Oncology, vol. 10, no. 1, pp 120-125, January 2019.

Maria Malik, Hassan Ghasemzadeh, Tinoosh Mohsenin, Rosario Cammarota, Liang Zhao, Avesta Sasan, Houman Homayoun, Setareh Rafatirad (2019). ECoST: Energy-Efficient Co-Locating and Self-Tuning MapReduce Applications. Proceedings of the 48th International Conference on Parallel Processing (ICPP 2019), Kyoto, Japan.

Yuchao Ma, Zhila Esna Ashari, Mahdi Pedram, Navid Amini, Daniel Tarquinio, Kouros Nouri-Mahdavi, Mohammad Pourhomayoun, Robert Catena, Hassan Ghasemzadeh (2019). CyclePro: A Robust Framework for Domain-Agnostic Gait Cycle Detection. IEEE Sensors Journal (JSEN), vol. 19, no. 10, pp 3751–3762, May 2019.

Maria Malik, Katayoun Neshatpour, Setareh Rafatirad, Rajiv V. Joshi, Tinoosh Mohsenin, Hassan Ghasemzadeh, Houman Homayoun (2019). Big vs little core for energy-efficient Hadoop computing. Journal of Parallel and Distributed Computing, vol. 129, pp. 110–124, July 2019.

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Giancarlo Fortino, Hassan Ghasemzadeh, Raffaele Gravina, Peter X. Liu, Carmen C. Y. Poon, Zhelong Wang (2019). Advances in multi-sensor fusion for body sensor networks: Algorithms, architectures, and applications. Special Issue on Advances in Multi-Sensor Fusion for Body Sensor Networks.

Ramin Fallahzadeh, Hassan Ghasemzadeh (2018). Trading Off Power Consumption and Prediction Performance in Wearable Motion Sensors: An Optimal and Real-Time Approach. ACM Transactions on Design Automation of Electronic Systems (TODAES), vol. 23, no. 5, article 67, October 2018.

Yuchao Ma, Samaneh Aminikhanghahi, Shane Wilhelm, Wesley Daniel Thorsen, Evan Conley Coleman, Hassan Ghasemzadeh (2018). Toward visual field assessment using head-worn sensing devices. 15th IEEE International Conference on Wearable and Implantable Body Sensor Networks (BSN 2018), Las Vegas, NV, USA.

Niloofar Hezarjaribi, Sepideh Mazrouee, Hassan Ghasemzadeh (2018). Speech2Health: A Mobile Framework for Monitoring Dietary Composition From Spoken Data. IEEE Journal of Biomedical and Health Informatics (JBHI), vol. 22, no. 1, pp. 252–264, January 2018.

Lorraine Evangelista, Hassan Ghasemzadeh, Jung-Ah Lee, Ramin Fallahzadeh, Majid Sarrafzadeh, Debra Moser (2018). Predicting Adherence to Use of Remote Health Monitoring Systems in a Cohort of Patients with Chronic Heart Failure. Technology and Health Care, vol. 25, no. 3, pp. 425–433, June 2017.

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

Seyed Ali Rokni, Marjan Nourollahi, Hassan Ghasemzadeh (2018). Personalized Human Activity Recognition Using Convolutional Neural Networks. Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18), New Orleans, Louisiana, USA.

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

Shervin Hajiamini, Behrooz A. Shirazi, Aaron S. Crandall, Hassan Ghasemzadeh, Chris Cain (2018). Impact of Cache Voltage Scaling on Energy-Time Pareto Frontier in Multicore Systems. Sustainable Computing: Informatics and Systems, vol. 18, pp. 54–65, March 2018.

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

Armin Shahrokni, Ronald J. Maggiore, Hassan Ghasemzadeh (2018). GNew Technologies in Geriatric Oncology Care. Journal of Geriatric Oncology, vol. 9, no. 6, pp 687-–689, November 2018.

Katayoun Neshatpour, Maria Malik, Avesta Sasan, Setareh Rafatirad, Tinoosh Mohsenin, Hassan Ghasemzadeh, Houman Homayoun (2018). Energy-efficient acceleration of MapReduce applications using FPGAs. Journal of Parallel and Distributed Computing, vol. 119, pp1–17, September 2018.

Ramin Fallahzadeh, Hassan Ghasemzadeh, Armin Shahrokni (2018). Electronic Assessment of Physical Decline in Geriatric Cancer Patients. accepted for publication in Current Oncology Reports, February 2018.

Ramin Fallahzadeh, Seyed Ali Rokni, Hassan Ghasemzadeh, Enrique Soto, Armin Shahrokni (2018). Digital Health for Geriatric Oncology. Journal of Clinical Oncology: Clinical Cancer Informatics (JCO CCI), June 29, 2018.

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

Seyed Ali Rokni, Hassan Ghasemzadeh (2018). Autonomous Training of Activity Recognition Algorithms in Mobile Sensors: A Transfer Learning Approach in Context-Invariant Views. IEEE Transactions on Mobile Computing (TMC), vol. 17, no. 8, pp. 1764–1777, August 2018 (Featured Article of August 2018 Issue).

Katayoun Neshatpour, Hosein Mohammadi Makrani, Avesta Sasan, Hassan Ghasemzadeh, Setareh Rafatirad, Houman Homayoun (2018). Architectural considerations for FPGA acceleration of machine learning applications in MapReduce. Proceedings of the 18th International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation (SAMOS ‘18), Pythagorion, Greece.

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

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

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

Raffaele Gravina, Parastoo Alinia, Hassan Ghasemzadeh, Giancarlo Fortino (2017). Multi-sensor fusion in body sensor networks: State-of-the-art and research challenges. Information Fusion, vol. 35, pp. 68–80, May 2017.

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

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

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

Ramin Fallahzadeh, Yuchao Ma, Hassan Ghasemzadeh (2017). Context-Aware System Design for Remote Health Monitoring: An Application to Continuous Edema Assessment. IEEE Transactions on Mobile Computing (TMC), vol. 16, no. 8, pp. 2159–2173, August 2017.

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

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

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

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Yuchao Ma, Navid Amini, Hassan Ghasemzadeh (2016). Wearable sensors for gait pattern examination in glaucoma patients. Microprocessors and Microsystems - Embedded Hardware Design.

Ramyar Saeedi, Hassan Ghasemzadeh, Assefaw Hadish Gebremedhin (2016). Transfer learning algorithms for autonomous reconfiguration of wearable systems. 2016 IEEE International Conference on Big Data (IEEE BigData 2016), Washington DC, USA.

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

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

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

Mohamed Bakhouya, Masoud Daneshtalab, Maurizio Palesi, Hassan Ghasemzadeh (2016). Many-core System-on-Chip: architectures and applications. Microprocessors and Microsystems - Embedded Hardware Design.

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

Seyed Ali Rokni, Hassan Ghasemzadeh (2016). Autonomous sensor-context learning in dynamic human-centered internet-of-things environments. The 35th IEEE/ACM International Conference On Computer Aided Design (ICCAD), November 7–10, 2016, Austin, TX.

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

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

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

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

Hassan Ghasemzadeh, Ramin Fallahzadeh, Roozbeh Jafari (2016). A Hardware-Assisted Energy-Efficient Processing Model for Activity Recognition Using Wearables. ACM Transactions on Design Automation of Electronic Systems (TODAES).

Yuchao Ma, Ramin Fallahzadeh, Hassan Ghasemzadeh (2015). Toward robust and platform-agnostic gait analysis. 12th IEEE International Conference on Wearable and Implantable Body Sensor Networks (BSN 2015), Cambridge, MA, USA.

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

Emmanuel Baccelli, Hassan Ghasemzadeh, Gustavo Marfia, Krishna Kumar Venkatasubramanian (2015). Proceedings of the 2015 Workshop on Pervasive Wireless Healthcare, MobileHealth@MobiHoc 2015, Hangzhou, China, June 22, 2015. ACM.

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

Hassan Ghasemzadeh, Pierre-Emmanuel Gaillardon, J. Zhang, Giovanni De Micheli, Ernesto Sánchez, Matteo Sonza Reorda (2015). On the Design of a Fault Tolerant Ripple-Carry Adder with Controllable-Polarity Transistors. ISVLSI.

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

2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops)*, St. Louis, MO, USA

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

Parastoo Alinia, Ramyar Saeedi, Bobak Mortazavi, Seyed Ali Rokni, Hassan Ghasemzadeh (2015). Impact of sensor misplacement on estimating metabolic equivalent of task with wearables. 12th IEEE Conference on Body Sensor Networks (BSN 2015), Cambridge, MA, USA.

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

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

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

Hassan Ghasemzadeh, Pasquale Panuccio, Simone Trovato, Giancarlo Fortino, Roozbeh Jafari (2014). Power-Aware Activity Monitoring Using Distributed Wearable Sensors. IEEE Trans. Human-Machine Systems.

Ramyar Saeedi, Navid Amini, Hassan Ghasemzadeh (2014). Patient-centric on-body sensor localization in smart health systems. 48th Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, USA.

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

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

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

Pierre-Emmanuel Gaillardon, Hassan Ghasemzadeh, Giovanni De Micheli (2013). Vertically-stacked silicon nanowire transistors with controllable polarity: A robustness study. LATW.

Hassan Ghasemzadeh, Roozbeh Jafari (2013). Ultra low-power signal processing in wearable monitoring systems: A tiered screening architecture with optimal bit resolution. ACM Transactions on Embedded Computing Systems (TECS).

Sunghoon Ivan Lee, Hassan Ghasemzadeh, Bobak Mortazavi, Mars Lan, Nabil Alshurafa, Michael Ong, Majid Sarrafzadeh (2013). Remote patient monitoring: what impact can data analytics have on cost?. Proceedings of the 4th Conference on Wireless Health, Baltimore, MD, USA.

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 (2013). Objective assessment of overexcited hand movements using a lightweight sensory device. 10th IEEE International Conference on Body Sensor Networks (BSN 2013), Cambridge, MA, USA.

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

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

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

Mars Lan, Lauren Samy, Nabil Alshurafa, Myung-kyung Suh, Hassan Ghasemzadeh, Aurelia Macabasco-O'Connell, Majid Sarrafzadeh (2012). WANDA: an end-to-end remote health monitoring and analytics system for heart failure patients. Proceedings of the conference on Wireless Health 2012 (WH ‘12), San Diego, CA, USA.

Francesco Fraternali, Mahsan Rofouei, Nabil Alshurafa, Hassan Ghasemzadeh, Luca Benini, Majid Sarrafzadeh (2012). Opportunistic hierarchical classification for power optimization in wearable movement monitoring systems. 7th IEEE International Symposium on Industrial Embedded Systems (SIES'12), Karlsruhe, Germany.

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

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

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 (2012). Dynamic Task Optimization in Remote Diabetes Monitoring Systems. HISB.

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

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

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

Steven L. Garverick, Hassan Ghasemzadeh, Mark Zurcher, Masoud Roham, Enrique Saldivar (2011). Wireless Fetal Monitoring Device with Provisions for Multiple Births. 8th IEEE Conference on Body Sensor Networks (BSN 2011), Dallas, TX, USA.

Hassan Ghasemzadeh, Roozbeh Jafari (2011). Ultra Low Power Granular Decision Making Using Cross Correlation: Optimizing Bit Resolution for Template Matching. 2011 17th IEEE Real-Time and Embedded Technology and Applications Symposium, Chicago, IL, USA.

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

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

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

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

Hassan Ghasemzadeh, Vitali Loseu, Roozbeh Jafari (2010). Structural action recognition in body sensor networks: distributed classification based on string matching. IEEE Trans. Information Technology in Biomedicine.

Hassan Ghasemzadeh, Roozbeh Jafari (2010). Data Aggregation in Body Sensor Networks: A Power Optimization Technique for Collaborative Signal Processing. 2010 7th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks (SECON), Boston, MA, USA.

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

Hassan Ghasemzadeh, Vitali Loseu, Sarah Ostadabbas, Roozbeh Jafari (2010). Burst communication by means of buffer allocation in body sensor networks: Exploiting signal processing to reduce the number of transmissions. IEEE Journal on Selected Areas in Communications.

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

Vitali Loseu, Hassan Ghasemzadeh, Sarah Ostadabbas, Nikhil Raveendranathan, Jacques Malan, Roozbeh Jafari (2010). Applications of sensing platforms with wearable computers. Proceedings of the 3rd International Conference on PErvasive Technologies Related to Assistive Environments, (PETRA ‘10), Samos, Greece.

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

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

Hassan Ghasemzadeh, Roozbeh Jafari, Balakrishnan Prabhakaran (2010). A body sensor network with electromyogram and inertial sensors: multimodal interpretation of muscular activities. IEEE Trans. Information Technology in Biomedicine.

Hassan Ghasemzadeh, Vitali Loseu, Roozbeh Jafari (2009). Wearable coach for sport training: A quantitative model to evaluate wrist-rotation in golf. JAISE.

Hassan Ghasemzadeh, Vitali Loseu, Eric Guenterberg, Roozbeh Jafari (2009). Sport training using body sensor networks: a statistical approach to measure wrist rotation for golf swing. The fourth International ICST Conference on Body Area Networks (BodyNets), April 1st-3rd 2009, Los Angeles, CA, USA.

Daniel Câmara, Daniel Fokum, Eric Anderson, Hassan Ghasemzadeh, Yong Liu (2009). Report from HotMobile 2009. IEEE Pervasive Computing.

Hassan Ghasemzadeh, Eric Guenterberg, Roozbeh Jafari (2009). Energy-Efficient Information-Driven Coverage for Physical Movement Monitoring in Body Sensor Networks. IEEE Journal on Selected Areas in Communications.

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

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

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

Eric Guenterberg, Sarah Ostadabbas, Hassan Ghasemzadeh, Roozbeh Jafari (2009). An automatic segmentation technique in body sensor networks based on signal energy. 4th International ICST Conference on Body Area Networks, Los Angeles, CA, USA.

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

Eric Guenterberg, Hassan Ghasemzadeh, Roozbeh Jafari (2009). A Distributed Hidden Markov Model for Fine-grained Annotation in Body Sensor Networks. Sixth International Workshop on Wearable and Implantable Body Sensor Networks (BSN 2009), Berkeley, CA, USA.

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

Hassan Ghasemzadeh, Eric Guenterberg, Katherine Gilani, Roozbeh Jafari (2008). Action coverage formulation for power optimization in body sensor networks. 13th Asia and South Pacific Design Automation Conference (ASP-DAC 2008), Seoul, Korea.

Hassan Ghasemzadeh, Jaime Barnes, Eric Guenterberg, Roozbeh Jafari (2008). A phonological expression for physical movement monitoring in body sensor networks. The Fifth IEEE International Conference on Mobile Ad-hoc and Sensor Systems (MASS), September and October 2008, Atlanta, GA.

Mohammad Reza Kakoee, Hamid Shojaei, Hassan Ghasemzadeh, Marjan Sirjani, Zainalabedin Navabi (2007). A New Approach for Design and Verification of Transaction Level Models. IEEE International Symposium on Circuits and Systems (ISCAS’07), pp. 3760-3763, New Orleans, USA, May 2007.

Hassan Ghasemzadeh, Sepideh Mazrouee, Mohammad Reza Kakoee (2006). Modified Pseudo LRU Replacement Algorithm. IEEE International Conference and Workshop on the Engineering of Computer Based Systems (ECBS), pp. 368-376, Potsdam, Germany, March 2006.