Curriculum Vitae
Curriculum Vitae Link
Education
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PhD, Washington State University, 2021
Major: Electrical and Computer Engineering
Current Scheduled Teaching
CSCE 5934.877 | Directed Study | Spring 2025 |
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CSCE 5612.001 | Embedded Hardware/Software Design | Spring 2025 |
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CSCE 6940.977 | Individual Research | Spring 2025 |
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Texas Education Code 51.974 (HB 2504) requires each institution of higher education to make available to the public, a syllabus for undergraduate lecture courses offered for credit by the institution.
Previous Scheduled Teaching
CSCE 5320.003 | Scientific Data Visualization | Fall 2024 |
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SPOT
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CSCE 5900.877 | Special Problems | Fall 2024 |
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Texas Education Code 51.974 (HB 2504) requires each institution of higher education to make available to the public, a syllabus for undergraduate lecture courses offered for credit by the institution.
Published Intellectual Contributions
- 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
- 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
- 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
- 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., 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
- 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