Mahdi Pedram

Previous Scheduled Teaching

Published Intellectual Contributions

Book Chapter

• Pedram, M., Sah, R.K., Ghasemzadeh, H. (2024). Efficient Sensing and Classification for Extended Battery Life. Internet of Things. 111-140. Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-60027-2_6

Conference Proceeding

• Shahabi, F., Li, J., Romano, C., McCloskey, R., Fernandes, G.J., Pedram, M., Schauer, J., Stump, T., Alshurafa, N. (2025). A Multimodal AI-Enabled Framework for Characterizing Overeating Behaviors and Consumption Patterns. IEEE-EMBS International Conference on Body Sensor Networks 2025. https://openreview.net/forum?id=2U9EnaLyFN
• Sasikumar, H., Wijesundara, R., Deemer, S.E., Yuan, X., Wesling, M., Pedram, M. (2025). ToF Based Wearable Sensing for Passive Food Intake Monitoring. IEEE-EMBS International Conference on Body Sensor Networks 2025. https://openreview.net/forum?id=qxPZ6auXvu
• Lin, C., Du, Y., Pendse, N., Fernandes, G., Alshurafa, N., Pedram, M. (2024). Self-Sustaining Wearable UV Sensor for Passive and Continuous Sun Protection. 2024 IEEE 20th International Conference on Body Sensor Networks (BSN). 1-4. IEEE. https://doi.org/10.1109/bsn63547.2024.10780588
• Shahi, S., Sen, S., Pedram, M., Alharbi, R., Gao, Y., Katsaggelos, A.K., Hester, J., Alshurafa, N. (2023). Detecting Eating, and Social Presence with All Day Wearable RGB-T. Proceedings of the 8th ACM/IEEE International Conference on Connected Health: Applications, Systems and Engineering Technologies. 68-79. ACM. https://doi.org/10.1145/3580252.3586974
• Pedram, M., Fernandes, G., Romano, C., Wei, B., Sen, S., Hester, J., Alshurafa, N. (2023). Experience: Barriers and Opportunities of Wearables for Eating Research. Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems. 1-8. ACM. https://doi.org/10.1145/3544549.3573841
• Fernandes, G., Zhu, H., Pedram, M., Schauer, J., Shahi, S., Romano, C., Gergle, D., Alshurafa, N. (2023). Is cartoonized life-vlogging the key to increasing adoption of activity-oriented wearable camera systems?. Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems. ACM. https://doi.org/10.1145/3544549.3585812
• Shahi, S., Pedram, M., Fernandes, G., Alshurafa, N. (2022). SmartAct: Energy Efficient and Real-Time Hand-to-Mouth Gesture Detection Using Wearable RGB-T. 2022 IEEE-EMBS International Conference on Wearable and Implantable Body Sensor Networks (BSN). 1-4. IEEE. https://doi.org/10.1109/bsn56160.2022.9928492
• Rofouei, M., Pedram, M., Fraternali, F., Esna Ashari, Z., Ghasemzadeh, H. (2019). Resource-Efficient Computing in Wearable Systems. 2019 IEEE International Conference on Smart Computing (SMARTCOMP). 150-155. IEEE. https://doi.org/10.1109/smartcomp.2019.00045
• Pedram, M., Rokni, S.A., Nourollahi, M., Homayoun, H., Ghasemzadeh, H. (2019). Resource-Efficient Wearable Computing for Real-Time Reconfigurable Machine Learning: A Cascading Binary Classification. 2019 IEEE 16th International Conference on Wearable and Implantable Body Sensor Networks (BSN). 1-4. IEEE. https://doi.org/10.1109/bsn.2019.8771065
• Pedram, M., Rokni, S.A., Fallahzadeh, R., Ghasemzadeh, H. (2017). A beverage intake tracking system based on machine learning algorithms, and ultrasonic and color sensors. Proceedings of the 16th ACM/IEEE International Conference on Information Processing in Sensor Networks. 313-314. ACM. https://doi.org/10.1145/3055031.3055065
• Fallahzadeh, R., Pedram, M., Ghasemzadeh, H. (2016). SmartSock: A wearable platform for context-aware assessment of ankle edema. 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). 6302-6306. IEEE. https://doi.org/10.1109/embc.2016.7592169
• Fallahzadeh, R., Pedram, M., Saeedi, R., Sadeghi, B., Ong, M., Ghasemzadeh, H. (2015). Smart-Cuff: A wearable bio-sensing platform with activity-sensitive information quality assessment for monitoring ankle edema. 2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops). 57-62. IEEE. https://doi.org/10.1109/percomw.2015.7133994

Journal Article

• Shahabi, F., Wei, B., Romano, C., McCloskey, R., Lin, A.W., Pedram, M., Schauer, J.M., Stump, T., Alshurafa, N. (2025). Unveiling overeating patterns within digital longitudinal data on eating behaviors and contexts. Other. 8 (567) Nature Research.
• Wei, B., Romano, C., Pedram, M., Nolan, B., Morelli, W.A., Alshurafa, N. (2025). Developing and comparing a new BMI inclusive energy expenditure algorithm on wrist-worn wearables. Scientific Reports. 15 (1) Springer Science and Business Media LLC. https://doi.org/10.1038/s41598-025-99963-0
• Anh (Vivian) Le, P.N., Lin, A.W., Pfammatter, A.F., Schauer, J., Alexandria, S., Nolan, B., Romano, C., Morris, G., Kurasch, J., Pedram, M., Alshurafa, N. (2025). The Role of Eating Time in the Associations Between Hunger, Appetite, Thirst, and Energy Intake. Other. 9 107041. Elsevier BV. https://doi.org/10.1016/j.cdnut.2025.107041
• Pedram, M., Fernandes, G., Romano, C., Wei, B., Alshurafa, N. (2024). WildCam: Effects of Video Obfuscation on User Acceptance of Wearable Cameras. Other.
• Fernandes, G.J., Zheng, J., Pedram, M., Romano, C., Shahabi, F., Rothrock, B., Cohen, T., Zhu, H., Butani, T.S., Hester, J., Katsaggelos, A.K., Alshurafa, N. (2024). HabitSense: A Privacy-Aware, AI-Enhanced Multimodal Wearable Platform for mHealth Applications. Other. 8 (3) 1-48. Association for Computing Machinery (ACM). https://doi.org/10.1145/3678591
• FERNANDES, G., Pedram, M., ALSHURAFA, N. (2023). Preventing Prototyping Pitfalls and Going Beyond: A Strategy for Affordable and Modular Wearable Embedded Systems.
• Alharbi, R., Shahi, S., Cruz, S., Li, L., Sen, S., Pedram, M., Romano, C., Hester, J., Katsaggelos, A.K., Alshurafa, N. (2023). SmokeMon: Unobtrusive Extraction of Smoking Topography Using Wearable Energy-Efficient Thermal. Other. 6 (4) 1--25. ACM New York, NY, USA.
• Lin, A., Agwomoh, K., Colvin, C., Xu, Q., Sen, S., Tan, G., Chen, E., Pedram, M., Alshurafa, N. (2023). OR09-03-23 Development of an Automated Smartphone App Feature To Accurately Estimate Food Portion Sizes. Other. 7 101331. Elsevier BV. https://doi.org/10.1016/j.cdnut.2023.101331
• Alharbi, R., Shahi, S., Cruz, S., Li, L., Sen, S., Pedram, M., Romano, C., Hester, J., Katsaggelos, A.K., Alshurafa, N. (2023). SmokeMon. Other. 6 (4) 1-25. Association for Computing Machinery (ACM). https://doi.org/10.1145/3569460
• Pedram, M., Sah, R.K., Rokni, S.A., Nourollahi, M., Ghasemzadeh, H. (2022). Probabilistic Cascading Classifier for Energy-Efficient Activity Monitoring in Wearables. Other. 22 (13) 13407-13423. Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/jsen.2022.3175881
• Pedram, M. (2021). Designing Resource Efficient Embedded Systems for Health Monitoring. Washington State University.
• Pedram, M., Mirzadeh, S.I., Rokni, S.A., Fallahzadeh, R., Woodbridge, D.M., Lee, S.I., Ghasemzadeh, H. (2021). LIDS: Mobile System to Monitor Type and Volume of Liquid Intake. Other. 21 (18) 20750-20763. Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/jsen.2021.3081012
• Rokni, S.A., Nourollahi, M., Alinia, P., Mirzadeh, I., Pedram, M., Ghasemzadeh, H. (2021). TransNet. ACM Transactions on Design Automation of Electronic Systems. 26 (1) 1-31. Association for Computing Machinery (ACM). https://doi.org/10.1145/3414062
• Rokni, S.A., Nourollahi, M., Alinia, P., Mirzadeh, I., Pedram, M., Ghasemzadeh, H. (2020). TransNet: minimally supervised deep transfer learning for dynamic adaptation of wearable systems. ACM Transactions on Design Automation of Electronic Systems (TODAES). 26 (1) 1--31. ACM New York, NY, USA.
• Ma, Y., Esna Ashari, Z., Pedram, M., Amini, N., Tarquinio, D., Nouri-Mahdavi, K., Pourhomayoun, M., Catena, R.D., Ghasemzadeh, H. (2019). CyclePro: A Robust Framework for Domain-Agnostic Gait Cycle Detection. Other. 19 (10) 3751-3762. Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/jsen.2019.2893225
• Pagan, J., Fallahzadeh, R., Pedram, M., Risco-Martin, J.L., Moya, J.M., Ayala, J.L., Ghasemzadeh, H. (2019). Toward Ultra-Low-Power Remote Health Monitoring: An Optimal and Adaptive Compressed Sensing Framework for Activity Recognition. IEEE Transactions on Mobile Computing. 18 (3) 658-673. Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/tmc.2018.2843373