Fatemeh Asgarinejad
Hi! 👋 I'm Fatemeh ("Faa-teh-meh") Asgarinejad, a fifth-year Ph.D. candidate at the Electrical and Computer Engineering department at the University of California, San Diego (joint with San Diego State University). I work on Hyperdimensional Computing Security and synergy of Hyperdimensional Computing and Machine Learning under the supervision of Prof. Tajana Rosing and Prof. Baris Aksanli. You can find my candidacy presentation slides from here.
Sample teaching (Statistics - Hypothesis Testing) [video] [slides]
I am currently on the academic job market for faculty positions with a focus on teaching.
Teaching
University of California, San Diego
- Instructor, Computer Science and Engineering
- Teaching Assistant, Computer Science and Engineering
- CSE 101: Design and Analysis of Algorithms (Summer 2023)
- CSE 20: Discrete Mathematics (Spring 2021, Spring 2022, Summer 2022, Spring 2023, Winter 2023, Winter 2025)
- CSE 21: Mathematics for Algorithms and Systems Analysis (Winter, Spring, and Fall 2024)
- Teaching Assistant, Halıcıoğlu Data Science Institute
- DSC 200: Data Science Programming (Fall 2023)
- DSC 40A: Theoretical Foundations of Data Science (Summer 2023)
San Diego State University
- Instructor: First Year Seminars, four Classes (Fall 2021)
UC San Diego Extension
- Teaching Assistant: DSE 220x - Machine Learning Fundamentals (Prof. Sanjoy Dasgupta, Three Semesters Sep 2019 - Aug 2020)
UC San Diego Teaching Certificates
- UC San Diego Student-Centered College Teaching & Course Design Certificate
- Leadership in Teaching: Graduate Peer Review of Instruction Program Certificate
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. 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, presentation
- 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.
- J. Yang, A.J. Olivares, F. Asgarinejad, F. Ponzina, T. Rosing, B. Aksanli,Transforming Memory Retention Strategies in Neural Networks through Hyperdimensional Computing Techniques, under preparation.
Mentorship
- Jiaying Yang, B.Sc. student in Computer Science, Project: Addressing Catastrophic Forgetting in Neural Networks using Hyperdimensional Computing.
- Matilda Gaddi, B.Sc. student in Data Science, Project: ECG Signal Inference from Radar with Hyperdimensional Computing.
- A.J. Olivares, B.Sc. student in Computer Science, Project: Addressing Catastrophic Forgetting in Neural Networks using Hyperdimensional Computing.
- Lilianne Montehermoso, High School student, PRISM Center Research Program, Project: Analyzing Adversarial Attacks in Machine Learning.
Awards
- DAC’61 Young Fellow Best Video Presentation Award, 2024
- DAC Young Fellow at the 61st Design Automation Conference in San Francisco, 2024
- SRC Research Scholar and awarded funding for conference participation, 2024
- 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
- Ranked top 0.4% in Iran’s national university entrance exam for M.Sc. in Computer Engineering
Talks
Invited Talks
- PRISM Center Annual Review, UC San Diego, “PRISM Center Summer Virtual High School Program”, Nov 2024
- TECHCON, “Harnessing Hyperdimensional Computing’s Explainability for Adversarial Attacks”, Sep 2024
- Colegio San Agustin-Bacolod University’s 60th Founding Anniversary Research Conference, “Applying Machine Learning and Brain-Inspired Computing for Innovative Problem Solving”, July 2023
Conference Talks
- ICCAD, 2024 [slides]
- ASP-DAC, 2024 [slides]
- EMBC, 2020 [slides] | [presentation]
Diversity, Inclusion & Mentorship
- Women In Computing Mentorship Program (at UC San Diego), Sep 2024-present
- Research Mentor (at UC San Diego, SEElab), August 2023-present
- Research Mentor (at UC San Diego, PRISM Center), Virtual High School Research Program for high school students, Summer 2024
- Python Summer School Mentor (at Sharif University of Technology, under supervision of Prof. Ali Sharifi-Zarchi), Summer 2023
- HKN (Eta Kappa Nu) Honor Society of UC San Diego Outreach Program for middle-school and High-school students, May 2022-present
Professional Service
- Reviewer for ACM Computing Surveys