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Posts by Collection
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publications
Smart-cuff: A wearable bio-sensing platform with activity-sensitive information quality assessment for monitoring ankle edema
Ramin Fallahzadeh, Mahdi Pedram, Ramyar Saeedi, Bahman Sadeghi, Michael Ong, Hassan Ghasemzadeh. (2015). "mart-cuff: A wearable bio-sensing platform with activity-sensitive information quality assessment for monitoring ankle edema." IEEE International Conference on Pervasive Computing and Communication Workshops. https://github.com/mahdipedro/mpedram.github.io/blob/master/files/Smart_Cuff_A_Wearable_Bio_Sensing_Platfo.pdf
Smartsock: A wearable platform for context-aware assessment of ankle edema
Ramin Fallahzadeh, Mahdi Pedram, Hassan Ghasemzadeh. (2016). "Smartsock: A wearable platform for context-aware assessment of ankle edema." 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). https://github.com/mahdipedro/mpedram.github.io/blob/master/files/SmartSock_A_Wearable_Platform_for_Contex.pdf
A beverage intake tracking system based on machine learning algorithms, and ultrasonic and color sensors
Mahdi Pedram, Seyed Ali Rokni, Ramin Fallahzadeh, Hassan Ghasemzadeh. (2017). 16th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN). https://github.com/mahdipedro/mpedram.github.io/blob/master/files/beverage.pdf
Toward ultra-low-power remote health monitoring: An optimal and adaptive compressed sensing framework for activity recognition
Josue Pagan, Ramin Fallahzadeh, Mahdi Pedram, Jose L Risco-Martin, Jose M Moya, Jose L Ayala, Hassan Ghasemzadeh. (2015). "Toward ultra-low-power remote health monitoring: An optimal and adaptive compressed sensing framework for activity recognition." IEEE Transactions on Mobile Computing. https://github.com/mahdipedro/mpedram.github.io/blob/master/files/toward%20ultra-low-power.pdf
CyclePro: A robust framework for domain-agnostic gait cycle detection
Yuchao Ma, Zhila Esna Ashari, Mahdi Pedram, Navid Amini, Daniel Tarquinio, Kouros Nouri-Mahdavi, Mohammad Pourhomayoun, Robert D Catena, Hassan Ghasemzadeh. (2019). IEEE Sensors Journal. https://github.com/mahdipedro/mpedram.github.io/blob/master/files/cycle_pro.pdf
Resource-Efficient Wearable Computing for Real-Time Reconfigurable Machine Learning: A Cascading Binary Classification
Mahdi Pedram, Seyed Ali Rokni, Marjan Nourollahi, Houman Homayoun, Hassan Ghasemzadeh. (2019). IEEE 16th International Conference on Wearable and Implantable Body Sensor Networks (BSN). https://arxiv.org/pdf/1907.03247.pdf
Resource-Efficient Computing in Wearable Systems
Mahdi Pedram, Mahsan Rofouei, Francesco Fraternali, Zhila Esna Ashari, Hassan Ghasemzadeh. (2019). IEEE International Conference on Smart Computing (SMARTCOMP). https://arxiv.org/pdf/1907.03247.pdf
TransNet: Minimally Supervised Deep Transfer Learning for Dynamic Adaptation of Wearable Systems
Seyed Ali Rokni, Marjan Nourollahi, Parastoo Alinia, Iman Mirzadeh, Mahdi Pedram, Hassan Ghasemzadeh. (2020). "TransNet: Minimally Supervised Deep Transfer Learning for Dynamic Adaptation of Wearable Systems." ACM Transactions on Design Automation of Electronic Systems (TODAES). https://dl.acm.org/doi/abs/10.1145/3414062
Mobile System to Monitor Type and Volume of Liquid Intake
Mahdi Pedram, Seyed Iman Mirzadeh, Seyed Ali Rokni, Ramin Fallahzadeh, Diane Myung-kyung Woodbridge, Sunghoon Ivan Lee, Hassan Ghasemzadeh. (2021). "Mobile System to Monitor Type and Volume of Liquid Intake." IEEE Sensors Journal. https://ieeexplore.ieee.org/abstract/document/9432862
Probabilistic Cascading Classifier for Energy-Efficient Activity Monitoring in Wearables
Mahdi Pedram, Ramesh Kumar Sah, Seyed Ali Rokni, Marjan Nourollahi, Hassan Ghasemzadeh. (2022). "Probabilistic Cascading Classifier for Energy-Efficient Activity Monitoring in Wearables." IEEE Sensors Journal. https://ieeexplore.ieee.org/abstract/document/9775943
SmartAct: Energy Efficient and Real-Time Hand-to-Mouth Gesture Detection Using Wearable RGB-T
Soroush Shahi, Mahdi Pedram, Glenn Fernandes, Nabil Alshurafa (2022). BSN 2022. https://ieeexplore.ieee.org/abstract/document/9928492
SmokeMon: Unobtrusive Extraction of Smoking Topography Using Wearable Energy-Efficient Thermal
Rawan Alharbi, Soroush Shahi, Stefany Cruz, Lingfeng Li, Sougata Sen,Christopher Romano, Mahdi Pedram, Josiah Hester, Aggelos K Katsaggelos, Nabil Alshurafa. IMWUT 2023. https://dl.acm.org/doi/abs/10.1145/3569460
Experience: Barriers and Opportunities of Wearables for Eating Research
Mahdi Pedram, Glenn Fernandes, Christopher Romano, Boyang Wei, Sougata Sen, Josiah Hester, Nabil Alshurafa (2023). CHI 2023.
Detecting Eating, and Social Presence with All Day Wearable RGB-T
Soroush Shahi, Sougata Sen, Mahdi Pedram, Rawan Alharbi, Yang Gao, Aggelos K Katsaggelos, Josiah Hester, Nabil Alshurafa. (2023). "Detecting Eating, and Social Presence with All Day Wearable RGB-T." ACM CHASE.
talks
teaching
Embedded Systems - Fall 2018
Undergraduate and graduate course, Washington State University, School of Electrical Engineering & Computer Science, 2018
Lab Instructor and Teaching Assistant.
Embedded Systems - Fall 2019
Undergraduate and graduate course, Washington State University, School of Electrical Engineering & Computer Science, 2019
Lab Instructor and Teaching Assistant.
Introduction to Machine Learning - Spring 2020
Undergraduate course, Washington State University, School of Electrical Engineering & Computer Science, 2020
Teaching Assistant.
Operating Systems and Computer Architecture - Fall 2020
Undergraduate course, Washington State University, School of Electrical Engineering & Computer Science, 2020
Teaching Assistant.
Embedded Systems - Fall 2021
Undergraduate and graduate course, Washington State University, School of Electrical Engineering & Computer Science, 2021
Course Instructor.
Wireless and Mobile Health (mHealth) - Winter 2022
Undergraduate and graduate course, Northwestern University, McCormick School of Engineering, 2022
Course Instructor.
Wireless and Mobile Health (mHealth) - Winter 2023
Undergraduate and graduate course, Northwestern University, McCormick School of Engineering, 2023
Course Instructor.
Health Informatics - Fall 2023
Undergraduate and graduate course, DePaul University, School of Computing (SoC), 2023
Course Instructor.
Electronic Health Records - Winter 2024
Undergraduate and graduate course, DePaul University, School of Computing (SoC), 2023
Course Instructor.
Applied Computing - Spring 2024
Undergraduate and graduate course, DePaul University, School of Computing (SoC), 2024
Course Instructor.