Fairuz Nawar earned her B.Sc. in Computer Science and Engineering from Ahsanullah University of
Science and Technology, Bangladesh, in 2022. During her final year, she began a remote
internship with the Silicon Valley start-up Insidmaps Inc., where she continued to
work until December 2024. At the same time, she served as an adjunct lecturer at her
alma mater, teaching undergraduate programming courses. She is currently pursuing
a Ph.D. in Electrical and Computer Engineering, with research focused on synergizing
machine learning with hardware security.
Graduation: May 2029 (expected)
CV/LinkedIn/GitHub: CV | LinkedIn | GitHub
Research Interests: High performance computing, machine learning, data analysis
Selected Publications:
- Asaduzzaman, A., Nawar, F., Campbell, D., and Sibai, F.N., “Impact of the TensorFlow Library on Neural Network Performance for Harnessing Hardware Parallelism,” accepted, in IEEE Green Technologies (GreenTech) Conference, Boulder, Colorado, 2026.
- Uddin, M.R., Asaduzzaman, A., Nawar, F., and Thompson, C. C., “DNN-Driven Task Scheduling for High Performance Edge-Cloud Heterogeneous Systems,” in IEEE High Performance Extreme Computing Conference (HPEC), Boston, USA, Sept. 15- 19, 2025.
- Thompson, C.C., Asaduzzaman, A., Uddin, M.R., and Nawar, F., “Impact of HPC Hardware on ML Performance,” in IEEE High Performance Extreme Computing Conference (HPEC), Boston, USA, Sept. 15- 19, 2025.
- Asaduzzaman, A., Uddin, M.R., Sibai, F.N., and Nawar, F., “An Application of ML-assisted Techniques for Water Quality Testing Systems,” under review, in Springer Environmental Monitoring and Assessment (EMA), 2025.
Hobbies: Music, travel, cooking, fitness
Go to: CAPPLab