Narges Norouzi

Assistant Teaching Professor at UCSC

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:

[October 31 - November 4, 2021] We will be presenting our paper "WaveFusion Squeeze-and-Excitation: Towards an Accurate and Explainable Deep Learning Framework in Neuroscience" at the International Conference of the IEEE Engineering in Medicine and Biology Society.

[October 31 - November 4, 2021] We will be presenting 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.

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

[September 7 - September 18, 2021] I will be teaching Baskin Engineering Excellence Scholars Program.

[2021-2022] I will be serving as the Computer Science Undergraduate Director for the 2021-2022 academic year.

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.

Seizure Modeling and Visualization with Simultaneous Scalp and Stereo-EEG

Classification of Electroencephalogram Data using SpectroImaging and Deep Neural Networks

Quantitative analysis of the impact of mental stress on test performance by analyzing heart rate variability

Research Flyer

Computer science curricular redesign for inclusivity

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.

  • 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.
  • Norouzi N., Arabi P., Dear T., Carver S., Bromberg S., Kahan M., Gray S., and Borgundvaag B. "Empirical mode decomposition analysis of alcohol withdrawal tremor signals." In Signal and Information Processing (GlobalSIP), 2016 IEEE Global Conference on, pp. 90-93. IEEE, 2016.
  • 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
Book an Appointment