Narges Norouzi

Assistant Teaching Professor at EECS Berkeley

Bio: Narges Norouzi is an Assistant Teaching Professor at EECS Berkeley. She received her Ph.D. and M.A.Sc. in Computer Engineering in 2017 and 2014, respectively, from the University of Toronto, Canada. She also received her B.A.Sc. in Computer Engineering from Sharif University of Technology in 2012. Her research interests include Computational Biology, Biometric Systems, Machine Learning, Statistical Signal Processing with applications in Image Processing, Pattern Recognition, and Adaptive Systems.

Recent news:

[December 28, 2022] Our project "Transforming Introductory Computer Science Instruction with an AI-Driven Classroom Assistant" has received a $2M award from the National Science Foundation. Project duration: 05/2023 - 04/2027.

[February 8 - 12, 2023] I will be presenting our paper on "Context-Aware Analysis of Group Submissions for Group Anomaly Detection and Performance Prediction" at the AAAI conference on artificial intelligence 2023, Washington, DC.

[March 15 - 18, 2023] I will be presenting our paper on "Evaluation of the Impact of Modality for Equity Program" at the ACM Special Interest Group on Computer Science Education (SIGCSE) 2023, Toronto, Canada.

[November 2022] I received a gift in the amount of $23K from Google Inc. for my work on promoting diversity, equity, and inclusion in Computing.


  • 2014-2017

    PhD in Computer Engineering, University of Toronto

    Thesis: “Time­-Frequency Analysis of Alcohol Withdrawal Tremors”
    Supervisor: Prof. Parham Aarabi

  • 2012-2014

    MASc in Computer Engineering, University of Toronto

    Thesis: “Multi-­Modal Heartbeat Estimation on an iPhone”
    Supervisor: Prof. Parham Aarabi

  • 2008-2012

    BSc in Computer Engineering, Sharif University of Technology

    Thesis: “Dress Mapping on Query’s Body from 4 Points of View Using 3D Computer Vision”
    Supervisor: Prof. Shohreh Kasaei


Bioelectronic Intelligent Control of Wound Regeneration

Selected Publications.

  • Isseroff, R. R., Rolandi, M., Gomez, M., and Norouzi, N. "HealNet-Self-supervised Acute Wound Heal-Stage Classification". In Machine Learning in Medical Imaging: 13th International Workshop, MLMI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings (Vol. 13583, p. 446). Springer Nature.
  • Nagda, K., Briden, M., and Norouzi, N. "Fine-grained Cross-Layer Attention Framework for Wound Stage Classification". In 2022 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI) (pp. 1-4).
  • Briden, M. and Norouzi, N. "WaveFusion Squeeze-and-Excitation: Towards an Accurate and Explainable Deep Learning Framework in Neuroscience." In 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (pp. 1092-1095).
  • Lin, S. and Norouzi, N. "An Effective Deep Learning Framework for Cell Segmentation in Microscopy Images." In 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (pp. 3201-3204).
  • Norouzi, N., Robinson, C., Covarrubias, R., Hernandez, R., Weldegabriel, D., Benner, G., ... and Espericueta, R. "Baskin Engineering Excellence Scholars Bridge Program: Planning, Implementation, and Evaluation." In 2021 IEEE Frontiers in Education Conference (FIE) (pp. 1-8).
  • Norouzi, N., Chaturvedi S., and Rutledge M. "Lessons Learned from Teaching Machine Learning and Natural Language Processing to High School Students." Proceedings of the AAAI Conference on Artificial Intelligence. Vol. 34. No. 09. 2020.
  • Howard M., Williamson A., Norouzi N. "Video Manipulation Detection via Recurrent Residual Feature Learning Networks." In 7th Global Conference on Signal and Information Processing, IEEE, 2019.
  • Khan F., de Silva A., Yetukuri J., Norouzi N. "Sequential Image Synthesis for Human Activity Video Generation." In 16th International Conference on Image Analysis and Recognition, IEEE, 2019.
  • Norouzi N. and Hausen R. "Quantitative Evaluation of Student Engagement in a Large-Scale Introduction to Programming Course using a Cloud-based Automatic Grading System." In 2018 IEEE Frontiers in Education Conference (FIE), IEEE, 2018.
  • Aarabi P., Norouzi N., Wu J., and Spears M. "7 surprising lessons learned from teaching iOS programming to 30,000+ MOOC students." In 2016 IEEE Frontiers in Education Conference (FIE), pp. 1-4. IEEE, 2016.
Google Scholar



norouzi [at] berkeley [dot] edu
  • 775, Soda Hall Building,
  • Berkeley, CA, 94709