Magdalini Eirinaki
Professor & Associate Chair of Graduate Affairs
Computer Engineering Department
Preferred: magdalini.eirinaki@sjsu.edu
Telephone
Preferred: (408) 924-3828
Office: ENG 283F
Education
- PhD in Computer Science (Informatics), Athens Univ of Econ & Business, 2006
- MSc in Advanced Computing, Imperial College, London, United Kingdom, 2000
- BSc in Computer Science (Informatics), University of Piraeus, Greece, 1998
- Diploma in Music (Piano), Greek Ministry of Education, cum laude, 2006
Bio
Dr. Magdalini Eirinaki is a Professor at the Computer Engineering Department of the College of Engineering at SJSU. She also serves as the Associate Chair of Graduate Affairs. Her research interests span a broad range of machine learning, recommender systems, deep learning applications, social graph mining, and generative AI. She has published several papers in refereed journals and international conference proceedings in the above areas (links to selected publications are included below). Dr. Eirinaki is on sabbatical leave until January 2027.
Prof. Eirinaki is an external member of the Board of Administration of Harokopio University. She also serves on the steering committee of the Silicon Valley Women in Engineering conference series. She is also serving in multiple senior roles in journals and conference in her research area.
Prof. Eirinaki is the recipient of the 2019 Newnan Brothers Award for Faculty Excellence, the 2017 Applied Materials Award for Excellence in Teaching and received the SJSU distinguished faculty mentor award in 2015, 2019, 2020, 2022, and 2023.
Her research is funded by NSF, CAHSI/Google, CA Learning Lab, EU Horizon (Marie Slodowska-Curie Actions), and IBM.
Links
- Selected publications (ORCID, DBLP, Google Scholar)
- Interviews
Recent News
- (7/2026) Our paper “SpartanAI: An AI Agent for Automated Course Review” (with P. Korat (MS AI '26), D. A. Patel (MS IDA '25), W. Wu, Y. Liu, and B. Burch) to appear in Proc. of the 12th IEEE Intl. Conference on Big Data Services and Machine Learning Applications (BigDataService 2026), July 2026, Fukuoka, Japan
- (6/2026) Our paper "Learning Compressed AIS Trajectories with VQ-VAE for Activity Classification" (with C. Chronis, S. Chatziargyros, K. Tserpes, and I. Varlamis) to appear in Proc. of the 1st Workshop on Multi-Sensor Trajectory Knowledge Discovery and Extraction (MuseKDE 2026) of the 27th IEEE Intl. Conf. on Mobile Data Management (IEEE MDM 2026), June 2026, Athens, Greece
- (5/2026) Sergio Talavera (MS Software Engineering '26) presented our paper “Interpretable Early Termination of Web Navigation Agents via Closed Sequential Pattern Mining”, at the AI Agents for Discover in the Wild workshop (AID-Wild 2026) of the inaugral ACM Conference on AI and Agentic Systems (ACM CAIS 2026), May 2026, San Jose, CA
- (4/2026) Our paper “CollaborAIte: A Work-in-Progress Faculty Development Model For Supporting Collaborative and Inclusive STEM Learning with AI” (with Y. Liu and W. Wu), was presented in the 2026 IEEE Integrated STEM Education Conference (ISEC’26), April 2026, Princeton, NJ
- (7/2025) Our paper “Multimodal Benchmarking and Recommendation of Text-to-Image Generation Models” (with K. Wanaskar (MS AI '24), and G. Jena) got the best student paper award at the 11th IEEE Intl. Conference on Big Data Services and Machine Learning Applications (BigDataService 2025), July 2025, Tucson, AZ
- (6/2025) Our poster paper “Cloudsweeper: Leveraging Large Language Models to Personalize Sensitive Archive Search”, appeared in the Proceedings of the 6th Silicon Valley Cybersecurity Conference (SVCC 2025), June 2025, Santa Clara, CA
- (5/2025) Martin Alvarez-Lopez (MS Software Engineering '25) presented his paper "The Impact of Tree Data on Urban Heat Island Mapping: A San Jose Case Study" at the 2025 IEEE Conference on Artificial Intelligence (IEEE CAI 2025).
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