About
Hi! 👋 I'm Fatemeh (Maral /mɑːˈrɑːl/) Asgarinejad. I am an Assistant Professor of Teaching in the Electrical and Computer Engineering Department at the University of California Riverside. My research explores the intersection of CS and ECE education—centering engaged, continuous learning—and uses machine learning, data science, and mathematics to solve real-world problems.
Previously, I received my Ph.D. from the University of California San Diego, where I had the privilege of being advised by Professors Tajana Rosing and Baris Aksanli (joint with San Diego State University). During my Ph.D., I worked on Secure, Efficient and Private Computing at the Edge with Hyperdimensional Computing, and explored its synergy with Machine Learning. I am honored to have received the 2025 Barbara J. and Paul D. Saltman Excellent Teaching Award from UC San Diego, as well as the 2025 Excellence in Teaching Award from the UCSD Computer Science and Engineering Department.
Collaborations: If you are a UC Riverside undergraduate student interested in joining REMIND Lab ↗, please contact me at fasga001@ucr.edu.
Recent News
Feb 2026Awarded Outstanding Service for Supporting Students in IEEE, San Diego Region
Jul 2025Recent work in HD Computing recognized as one of two top achievements in the Cocosys Spring Quarter Review
May 2025Awarded the UCSD CSE Department Award for Excellence in Teaching
May 2025Defended my PhD! 🎉
May 2025Poster accepted at Mathematics Association of America MathFest
Apr 2025Awarded the UCSD 2025 Barbara J. and Paul D. Saltman Excellent Teaching Award
Teaching
University of California, Riverside
Electrical and Computer Engineering
- ECE 016: Data Science in Engineering — Fall 2025, Fall 2026
- ECE 005: Circuits and Electronics — Fall 2025, Winter, Spring, Summer and Fall 2026
- EE 20B: Linear Methods for Engineering Analysis and Design Using Matlab — Summer 2026
- ECE 105: Modeling & Simulation of Dynamic Systems — Winter 2025
Teaching Certificates
- Teaching Foundations Workshop Series conducted by members of the Academy of Distinguished Teaching at UCR.
University of California, San Diego
Instructor — Computer Science and Engineering
- Instructor CSE 20: Discrete Mathematics [Site] [Syllabus] — Summer 2024
Teaching Assistant — Computer Science and Engineering
- TA CSE 101: Design and Analysis of Algorithms — Summer 2023
- TA CSE 20: Discrete Mathematics — Spring 2021, Spring 2022, Summer 2022, Winter 2023, Spring 2023, Winter 2025, Spring 2025
- TA CSE 21: Mathematics for Algorithms and Systems Analysis — Winter, Spring, Fall 2024
Teaching Assistant — Halıcıoğlu Data Science Institute
- TA DSC 200: Data Science Programming — Fall 2023
- TA DSC 40A: Theoretical Foundations of Data Science — Summer 2023
Teaching Certificates
- UC San Diego Student-Centered College Teaching & Course Design Certificate
- Leadership in Teaching: Graduate Peer Review of Instruction Program Certificate
- Transparency in Learning and Teaching (TILT) Community of Practice Certificate
San Diego State University
- Instructor First Year Seminars, four classes — Fall 2021
UC San Diego Extended Studies
- Instructor Fundamentals of Data Science — July 2025
UC San Diego Extension
- TA DSE 220x: Machine Learning Fundamentals (Prof. Sanjoy Dasgupta) — 3 semesters, Sep 2019–Aug 2020
Research & Publications
In REMIND, we focus on Education in Electrical and Computer Engineering, Machine Learning Applications in Medical Domains and Embedded Computing.
Publications
- F. Asgarinejad, F. Ponzina, O. Gungor, T. Rosing, B. Aksanli, "HDXpose: Harnessing Hyperdimensional Computing's Explainability for Adversarial Attacks," ICCAD, 2024. [slides]
- F. Asgarinejad, F. Asgarinejad, J. Morris, T. Rosing, B. Aksanli, "VisionHD: Revisiting Hyperdimensional Computing for Improved Image Classification," ISLPED, 2024.
- M. Gaddi, F. Ponzina, F. Asgarinejad, B. Aksanli, T. Rosing, "HyperECG: ECG Signal Inference from Radar with Hyperdimensional Computing," BIBE, 2024.
- F. Asgarinejad, J. Morris, T. Rosing, B. Aksanli, "PIONEER: Towards Highly Efficient and Accurate Hyperdimensional Computing using Learned Projection," ASP-DAC, 2024. [slides]
- F. Asgarinejad, A. Thomas, R. Hildebrant, Z. Zhang, S. Ren, T. Rosing, B. Aksanli, "Optimized Early Prediction of Business Processes with Hyperdimensional Computing," MDPI Information, 2024.
- F. Asgarinejad, X. Yu, D. Jiang, J. Morris, T. Rosing, B. Aksanli, "Enhanced Noise-Resilient Pressure Mat System Based on Hyperdimensional Computing," MDPI Sensors, 2024.
- R. Chandrasecaran, F. Asgarinejad, J. Morris, T. Rosing, "Multi-label Classification with Hyperdimensional Representations," IEEE ACCESS, 2023.
- X. Yu, M. Zhou, F. Asgarinejad, O. Gungor, B. Aksanli, T. Rosing, "Lightning Talk: Private and Secure Edge AI with Hyperdimensional Computing," DAC, 2023.
- Z. Zhang, R. Hildebrant, F. Asgarinejad, N. Venkatasubramanian, S. Ren, "Improving Process Discovery Results by Filtering Out Outliers from Event Logs with Hidden Markov Models," CBI, 2021.
- R. Garcia, F. Asgarinejad, B. Khaleghi, T. Rosing, M. Imani, "TruLook: A Framework for Configurable GPU Approximation," DATE, 2021.
- F. Asgarinejad, A. Thomas, T. Rosing, "Detection of Epileptic Seizures from Surface EEG using Hyperdimensional Computing," EMBC, 2020. [slides] [video]
- B. Khaleghi, S. Salamat, A. Thomas, F. Asgarinejad, Y. Kim, T. Rosing, "SHEARer: Highly-Efficient Hyperdimensional Computing by Software-Hardware Enabled Multifold Approximation," ISLPED, 2020.
Mentorship
- Jiaying Yang, B.Sc. in Computer Science, UCSD — Addressing Catastrophic Forgetting in Neural Networks using Hyperdimensional Computing (to be submitted Fall 2025). Summer 2024–Summer 2025
- Matilda Gaddi, B.Sc. in Data Science, UCSD — ECG Signal Inference from Radar with Hyperdimensional Computing (published IEEE BIBE 2024). Summer 2023–Winter 2025
- A.J. Olivares, B.Sc. in Computer Science, UCSD — Addressing Catastrophic Forgetting in Neural Networks using Hyperdimensional Computing. Summer 2024
- Amir Kiadi, B.Sc. in Computer Science, UCSD — Adversarial Attacks in Hyperdimensional Computing (submitted TCAD 2025). Fall 2024–Spring 2025
- Ava Emami, B.Sc. in Computer Science, UCSD — Defense mechanisms using HDC (to be submitted Fall 2025). Spring 2025–Fall 2025
- Lilianne Montehermoso, High School student, PRISM Center — Analyzing Adversarial Attacks in Machine Learning (submitted Journal of Students Research 2025). Summer 2024–Spring 2025
REMIND lab focuses on machine learning and data analysis research with undergraduate students. Our research spans diverse applications including healthcare diagnostics, signal processing, and embedded systems and Education in Electrical and Computer Engineering.
Current Students
Francis San Juan
francis.sanjuan@email.ucr.edu
Major:
DS
Year:
4
Started:
Spring 2026
Medical Diagnostics
Ryan Ma
rma068@ucr.edu
Major:
EE
Year:
3
Started:
Fall 2025
Biomedical Signal Analysis
Tiffany Hu
thu048@ucr.edu
Major:
ME
Year:
2
Started:
Fall 2025
Neural Signal Processing
Sebastian Sepulveda
ssepu008@ucr.edu
Major:
ME
Year:
3
Started:
Fall 2025
Applied Machine Learning
Peter Hsia
peter.hsia@email.ucr.edu
Major:
EE
Year:
3
Started:
Spring 2026
Embedded Machine Learning
Farrel Syufriza
fsyuf002@ucr.edu
Major:
EE
Year:
3
Started:
Spring 2026
Applied Machine Learning
Noah Ozrifaioglu
nberr010@ucr.edu
Started:
Summer 2026
Applied Machine Learning
Nathan Berry
nozri001@ucr.edu
Major:
EE
Year:
3
Started:
Summer 2026
Jose Barbosa
jose.barbosa@email.ucr.edu
Awards & Honors
- Outstanding Service for Students, IEEE San Diego Region, 2026
- UCSD CSE Department Award for Excellence in Teaching, 2025
- UCSD 2025 Barbara J. and Paul D. Saltman Excellent Teaching Award
- DAC '61 Young Fellow Best Video Presentation Award, 2024
- DAC Young Fellow, 61st & 62nd Design Automation Conference, San Francisco, 2024 & 2025
- SRC Research Scholar and awarded funding for conference participation, 2024 & 2025
- UCSD Travel Grant, 2024
- Member of HKN (Eta Kappa Nu) Honor Society of UC San Diego, since May 2022
- Ranked 20th (top 0.1%) in Iran's national university entrance exam for M.Sc. in Computer Science, 2017
- Ranked top 0.4% in Iran's national university entrance exam for M.Sc. in Computer Engineering, 2017
Talks
Invited Talks
- SRC TECHCON, Research Scholar and Presenter — Sep 2025
- Invited Seminar, IEEE Computer Society chapter, IEEE San Diego Section — Aug 2025
- Panelist, UCSD SRP Professional Development Forum – Graduate Student Panel (STEM) — Jul 2025
- Panelist, UCSD Teaching and Learning Commons, Summer Teaching Community 2025 — Jun 2025
- UC Riverside, ECE — Logic Optimization and Multi-Level Minimization — Winter 2025
- Purdue University, CS — Induction and Recursion — Winter 2025
- California State University Long Beach, CECS — Towards Efficient Learning at the Edge by Hyperdimensional Computing — Winter 2025
- University of Texas Austin, CS — Clustering: K-Means — Winter 2025
- Texas A&M University, CSE — Sorting Algorithms: Merge Sort — Winter 2025
- Chapman University, CS — Simple and Multiple Linear Regression — Winter 2025
- Northwestern University, Statistics and Data Science — Introduction to Hypothesis Testing — Winter 2025
- Panelist, PRISM Center Annual Review, UC San Diego — Nov 2024
- SRC TECHCON — "Harnessing Hyperdimensional Computing's Explainability for Adversarial Attacks" — Sep 2024
- Colegio San Agustin-Bacolod University 60th Anniversary Research Conference — Jul 2023
Conference Talks
Outreach & Service
Belonging, Diversity & Equity
- Research Mentor, UC San Diego SEElab — Aug 2023–Summer 2025
- Women In Computing Mentorship Program, UC San Diego — Fall 2024–Winter 2025
- Research Mentor, PRISM Center Virtual High School Research Program — Summer 2024
- HKN (Eta Kappa Nu) Honor Society Outreach Program for middle & high school students
- Algorithmic Creativity and Python Programming Summer School Mentor, Sharif University of Technology — Summer 2023
Professional Service
- Graduate Mentor to two undergraduate students for SRC TECHCON — Sep 2025
- Panel Moderator, UCSD 2025 Undergraduate Summer Research Conference — Aug 2025
- Student Activities Chair, IEEE San Diego Section — Summer 2025–present
- Reviewer, ACM Computing Surveys
- Reviewer, Signal, Image and Video Processing