Narges Norouzi

Assistant Teaching Professor at UCSC, Incoming Assistant Teaching Professor at EECS Berkeley

Bio: Narges Norouzi received her Ph.D. and M.A.Sc. in The Edward S. Rogers Sr. Department of Electrical & Computer Engineering in 2017 and 2014, respectively, from the University of Toronto, Canada. She also received her B.A.Sc. from Sharif University of Technology in 2012. She is currently a Teaching Professor at Computer Science & Engineering department of Baskin School of Engineering in University of California, Santa Cruz. 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:

[August 21 - 25, 2022] We will be presenting our paper "Subject-Aware Explainable Contrastive Deep Fusion Learning for Anxiety Level Analysis" at the International Conference on Pattern Recognition (ICPR) 2022 Multimodal Data for Mental Disorder Recognition Workshop, Montreal, Canada.

[August 7 - 10, 2022] We will be presenting our work on "Gateways within Computing Gateway Courses" at the ACM Conference on International Computing Education Research (ICER) 2022 Work-in-progress session, Lugano, Switzerland.

[July 24 - 30, 2022] I am attending Educational Data Mining (EDM) and Artificial Intelligence in Education (AIED) Conferences, Durham, England.

[June 18 - 22, 2022] We presented our paper "Towards Metacognition: Subject-Aware Contrastive Deep Fusion Learning for EEG Analysis" at the CVPR 2022 NeuroVision Workshop, New Orleans, USA.

[September 7 - 18, 2022] I will be teaching Baskin Engineering Excellence Scholars Program.

[October 31 - 4, 2021] We presented our paper "Effective Deep Learning Framework for Cell Segmentation in Microscopy Images" at the International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

[October 13 - 16, 2021] I presented our work on "Baskin Engineering Excellence Scholars Bridge Program: Planning, Implementation, and Evaluation at the " Frontiers in Education (FIE) Conference .

Education.

  • 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

Research.

Bioelectronic Intelligent Control of Wound Regeneration

Seizure Modeling and Visualization with Simultaneous Scalp and Stereo-EEG

Classification of Electroencephalogram Data using Spectro-Imaging and Deep Neural Networks

Artificial Intelligence in Education for Equitable Access to Computing for All

Alcohol withdrawal tremor detection, a technology that is now widely used in hospitals

News Release 1  News Release 2

Analyzing the impact of teaching in large scale MOOCs

Research Paper

Selected Publications.

  • 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.
  • Cui W., Zhou M., Zhao R., Norouzi N. "KB-NLG: From Knowledge Base to Natural Language Generation." In Widening NLP Workshop, 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.
  • Norouzi N., Carver S., Dear T., Bromberg S., Gray S., Kahan M., Aarabi P., and Borgundvaag B.. "Evaluation of alcohol intoxication and withdrawal syndromes based on analysis of tremor signals." Biomedical Signal Processing and Control 33 (2017): 83-87.
  • 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

Teaching.

Contact.

nanorouz [at] ucsc [dot] edu (831) 452-8468
  • (SOE3) 357, Engineering 2 Building,
  • Baskin School of Engineering,
  • 1156 High St., Santa Cruz, CA
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