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Mahdi Pedram

Title: Assistant Professor

Department: Computer Science and Engineering

College: College of Engineering

Curriculum Vitae

Curriculum Vitae Link

Education

  • PhD, Washington State University, 2021
    Major: Electrical and Computer Engineering

Current Scheduled Teaching

CSCE 5934.877Directed StudySpring 2025
CSCE 5612.001Embedded Hardware/Software DesignSpring 2025
CSCE 6940.977Individual ResearchSpring 2025

Previous Scheduled Teaching

CSCE 5320.003Scientific Data VisualizationFall 2024 SPOT
CSCE 5900.877Special ProblemsFall 2024

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

  • 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

  • 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
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Overall
Summative Rating
Challenge and
Engagement Index
Response Rate

out of 5

out of 7
%
of
students responded
  • Overall Summative Rating (median):
    This rating represents the combined responses of students to the four global summative items and is presented to provide an overall index of the class’s quality. Overall summative statements include the following (response options include a Likert scale ranging from 5 = Excellent, 3 = Good, and 1= Very poor):
    • The course as a whole was
    • The course content was
    • The instructor’s contribution to the course was
    • The instructor’s effectiveness in teaching the subject matter was
  • Challenge and Engagement Index:
    This rating combines student responses to several SPOT items relating to how academically challenging students found the course to be and how engaged they were. Challenge and Engagement Index items include the following (response options include a Likert scale ranging from 7 = Much higher, 4 = Average, and 1 = Much lower):
    • Do you expect your grade in this course to be
    • The intellectual challenge presented was
    • The amount of effort you put into this course was
    • The amount of effort to succeed in this course was
    • Your involvement in course (doing assignments, attending classes, etc.) was
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