My name is Ramin (pronounced like Raa-meen). I received my B.Sc. degree in computer engineering from Sharif University of Technology, Tehran, Iran in 2014. In 2018, I received my PhD from Washington State University, School of Computer Science, under the guidance of Dr. Hassan Ghasemzadeh. The focus of my PhD research was on algorithm design and optimization of Internet-of-Things (IoT) sensors with applications in intelligent healthcare. My current research interests include smart-health, pervasive computing, and machine learning.
I am currently a Postdoc Fellow at NALAB @ Stanford University.
J13. [Pending] Ramin Fallahzadeh and Hassan Ghasemzadeh, An Uninformed Transfer Learning Approach for Personalized Wearable Activity Recognition, to be submitted to ACM
Transactions on Intelligent Systems and Technology (TIST). 2018.
J12. [Pending] Mahdi Pedram, Seyed Ali Rokni, Ramin Fallahzadeh, and Hassan Ghasemzadeh, iLEAD: Intelligent Lid with Embedded Sensors to Analyze Body Dehydration from Liquid Intake Monitoring, to be submitted to IEEE Sensors Journal. 2018.
J11. [Under Review] Ramin Fallahzadeh and Hassan Ghasemzadeh, 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). 2018.
J10. [Under Review] Josue Pagan, Ramin Fallahzadeh, Mahdi Pedram, Jose L. Risco-Martin, Jose M.
Moya, Jose L. Ayala, and Hassan Ghasemzadeh, Toward Ultra-Low-Power Remote Health Monitoring:
An Optimal and Adaptive Compressed Sensing Framework for Activity Recognition. IEEE Transactions
on Mobile Computing. 2018.
J9. Ramin Fallahzadeh, Seyed Ali Rokni, Hassan Ghasemzadeh, Enrique Soto-Perez-de-Celis, and Armin
Shahrokni, Digital Health for Geriatric Oncology. Journal of Clinical Oncology (JCO) Clinical Cancer
Informatics (CCI). 2018.
J8. Ramin Fallahzadeh, Hassan Ghasemzadeh, and Armin Shahrokni, Electronic Assessment of Physical
Decline in Geriatric Cancer Patients. Current Oncology Reports. 2018.
J7. Parastoo Alinia, Chris Cain, Ramin Fallahzadeh, Armin Shahrokni, Diane Cook, Hassan Ghasemzadeh,
How Accurate Is Your Activity Tracker? A Comparative Study of Step Counts in Low-Intensity Physical
Activities. Journal of Medical Internet Research (JMIR) mHealth and uHealth (JMU). 2017 Aug, 5(8).
J6. Ramin Fallahzadeh, Yuchao Ma, and Hassan Ghasemzadeh, Context-Aware System Design for Remote
Health Monitoring: An Application to Continuous Edema Assessment. IEEE Transactions on
Mobile Computing. 2016 Oct 11.
J5. Lorraine S. Evangelista, Hassan Ghasemzadeh, Jung-Ah Lee, Ramin Fallahzadeh, Majid Sarrafzadeh,
and Debra K. Moser, Predicting adherence to use of remote health monitoring systems in a cohort of
patients with chronic heart failure. Technology and Health Care. 2016 Nov 18(Preprint):1-9.
J4. Hassan Ghasemzadeh, Ramin Fallahzadeh, and Roozbeh Jafari, A hardware-assisted energy-efficient
processing model for activity recognition using wearables. ACM Transactions on Design Automation
of Electronic Systems (TODAES). 2016 Jun 22;21(4):58.
J3. Yuchao Ma, Ramin Fallahzadeh, and Hassan Ghasemzadeh, Glaucoma-Specific Gait Pattern Assessment
Using Body-Worn Sensors. IEEE Sensors Journal. 2016 Aug 15;16(16):6406-15.
J2. Parastoo Alinia, Ramyar Saeedi, Ramin Fallahzadeh, Ali Rokni, Hassan Ghasemzadeh, A reliable and
reconfigurable signal processing framework for estimation of metabolic equivalent of task in wearable
sensors. IEEE Journal of Selected Topics in Signal Processing. 2016 Aug;10(5):842-53.
J1. Sanaz Sadat Alamian, Ramin Fallahzadeh and Shaahin Hessabi, RSFR: A Recursive Self-testable and
Fault-tolerant Routing Algorithm for NoC Routers. Appeared in The CSI Journal on Computer Science
and Engineering (JCSE), special issue on High-performance computer system architectures, 2015.
C13. Samaneh Aminikhanghahi, Ramin Fallahzadeh, Matthew Sawyer, Diane J. Cook, and Lawrence
B. Holder , Thyme: Improving Smartphone Prompt Timing through Activity Awareness, 16th IEEE International
Conference on Machine Learning and Applications (ICMLA), December 18-21, 2017, Cancun,
C12. Ramin Fallahzadeh, Parastoo Alinia, and Hassan Ghasemzadeh, Learn-on-the-Go: Autonomous
Cross-Subject Context Learning for Internet-of-Things Applications, The 36th IEEE/ACM International
Conference On Computer Aided Design (ICCAD), November 13-16, 2017, Irvine, CA.
C11. Ramin Fallahzadeh, Hassan Ghasemzadeh, Personalization without User Interruption: Boosting
Activity Recognition in New Subjects Using Unlabeled Data, ACM/IEEE International Conference on
Cyber-Physical Systems (ICCPS), April 18-21, 2017, Pittsburgh, PA, USA.
C10. Josue Pagan Ortiz, Ramin Fallahzadeh, Hassan Ghasemzadeh, Jose Manuel Moya, José Luis Risco
Martín, Jose L. Ayala, An Optimal Approach for Low-Power Migraine Prediction Models in the State-ofthe-
Art Wireless Monitoring Devices, IEEE/ACM Design, Automation and Test in Europe (DATE), March
27-31, 2017, Lausanne, Switzerland.
C9. Ramin Fallahzadeh, Josue Pagan Ortiz, Hassan Ghasemzadeh, Adaptive Compressed Sensing at
the Fingertip of Internet-of-Things Sensors: An Ultra-Low Power Activity Recognition, IEEE/ACM Design,
Automation and Test in Europe (DATE), March 27-31, 2017, Lausanne, Switzerland. [Nominated for
'The best paper award']
C8. Ramin Fallahzadeh, and Hassan Ghasemzadeh, CyHOP: A generic framework for real-time powerperformance
optimization in networked wearable motion sensors. InComputer Design (ICCD), 2016
IEEE 34th International Conference on 2016 Oct 2 (pp. 428-431). IEEE.
C7. Niloofar Hezarjaribi, Ramin Fallahzadeh, and Hassan Ghasemzadeh, A machine learning approach
for medication adherence monitoring using body-worn sensors. InProceedings of the 2016 Conference
on Design, Automation & Test in Europe (DATE) 2016 Mar 14 (pp. 842-845). EDA Consortium.
C6. Ramin Fallahzadeh, Samaneh Aminikhanghahi, Ashley Nichole Gibson, and Diane J. Cook, Toward
personalized and context-aware prompting for smartphone-based intervention. InEngineering in
Medicine and Biology Society (EMBC), 2016 IEEE 38th Annual International Conference of the 2016 Aug
16 (pp. 6010-6013). IEEE.
C5. Ramin Fallahzadeh, Mahdi Pedram, and Hassan Ghasemzadeh, A wearable platform for context-aware
assessment of ankle edema. InEngineering in Medicine and Biology Society (EMBC), 2016 IEEE
38th Annual International Conference of the 2016 Aug 16 (pp. 6302-6306). IEEE.
C4. Ramyar Saeedi, Ramin Fallahzadeh, Parastoo Alinia, and Hassan Ghasemzadeh, An energy-efficient
computational model for uncertainty management in dynamically changing networked wearables. In-
Proceedings of the 2016 International Symposium on Low Power Electronics and Design (ISLPED) 2016
Aug 8 (pp. 46-51). ACM.
C3. Yuchao Ma, Ramin Fallahzadeh, and Hassan Ghasemzadeh, Toward robust and platform-agnostic
gait analysis. InWearable and Implantable Body Sensor Networks (BSN), 2015 IEEE 12th International
Conference on 2015 Jun 9 (pp. 1-6). IEEE.
C2. Fallahzadeh, Ramin, Mahdi Pedram, Ramyar Saeedi, Bahman Sadeghi, Michael Ong, and Hassan
Ghasemzadeh, Smart-cuff: A wearable bio-sensing platform with activity-sensitive information quality
assessment for monitoring ankle edema. InPervasive Computing and Communication Workshops
(PerCom Workshops), 2015 IEEE International Conference on 2015 Mar 23 (pp. 57-62). IEEE.
C1. Sanaz Sadat Alamian, Ramin Fallahzadeh, Shaahin Hessabi, and Javad Alirezaie, A novel test strategy
and fault-tolerant routing algorithm for NoC routers. In Computer Architecture and Digital Systems
(CADS), 2013 17th CSI International Symposium on 2013 Oct 30 (pp. 133-136). IEEE.
Book Chapters, Short Paper, and Abstracts
A9. [Pending] Seyed Ali Rokni, Ramin Fallahzadeh, and Hassan Ghasemzadeh, Autonomous Collaborative
Learning in Wearable IoT Applications, Big Data-enabled IoT, Institution of Engineering and
Technology (IET), 2018. (Book Chapter)
A8. Ramin Fallahzadeh, Yuchao Ma, Bryan Minor, Lorraine S. Evangelista, Diane J. Cook, Hassan Ghasemzadeh,
Smartphone-based Activity-Awareness to Boost Medication Adherence, The IEEE Conference on Body Sensor Networks (BSN), March 2018, Las Vegas, Nevada. (Demo Abstract)
A7. Ramin Fallahzadeh, Bryan Minor, Lorraine S. Evangelista, Diane J. Cook, Hassan Ghasemzadeh,
Mobile Sensing to Improve Medication Adherence, The 16th ACM/IEEE International Conference on Information
Processing in Sensor Networks (IPSN), April 2017, Pittsburgh, PA. (Short Paper)
A6. Niloofar Hezarjaribi, Seyed Ali Rokni, Ramin Fallahzadeh, Hassan Ghasemzadeh, Speech2Health:
Tracking Calorie Intake with Unstructured Spoken Data on Mobile Devices, The 16th ACM/IEEE International
Conference on Information Processing in Sensor Networks (IPSN), April 2017, Pittsburgh, PA.
A5. Mahdi Pedram, Seyed Ali Rokni, Ramin Fallahzadeh, Hassan Ghasemzadeh, A Beverage Intake
Tracking System Based on Machine Learning Algorithms, and Ultrasonic and Color Sensors, The 16th
ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN), April 2017,
Pittsburgh, PA. (Short Paper)
A4. Ramin Fallahzadeh, Ramyar Saeedi, Hassan Ghasemzadeh, Energy-Aware Multi-Variant Networked
Wearable System Design: A Derivative-Free Optimization, Work-in-Progress Session, The 53rd ACM/EDAC/IEEE
Design and Automation Conference (DAC), 2016, Austin, Texas, USA. (Poster Abstract)
A3. Ramyar Saeedi, Ramin Fallahzadeh, Parastoo Alinia, Hassan Ghasemzadeh, An Energy-Efficient Computational
Reliability Model for Dynamically Evolving Human-Centered Monitoring, Work-in-Progress
Session, The 53rd ACM/EDAC/IEEE Design and Automation Conference (DAC), 2016, Austin, Texas, USA.
A2. Ramin Fallahzadeh, Hassan Ghasemzadeh, SmartSock: A Multi-Sensor Wearable for Continuous
and Remote Monitoring of Ankle Edema, the 17th Annual National Institutes of Health (NIH) Small
Business Innovation Research (SBIR) and Small Business Technology Transfer (STTR) Conference, 2015.
A1. Parastoo Alinia, Ramin Fallahzadeh, Ramyar Saeedi, Hassan Ghasemzadeh, Edema Monitoring System,
ACM Conference on Wireless Health (WH), October 14–16, 2015, National Institutes of Health,
Bethesda, MD. (Poster Abstract)
This section is currently under construction. To see my most recent CV please click on "Download my CV" on the top-right corner.