Professor
Program Director, MS in Artificial Intelligence

Computer Engineering Department

Email

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 program director of the MS in Artificial Intelligence program. Her research interests span a broad range of machine learning, data mining, social graph mining, recommender systems, and deep learning applications. She has published several papers in refereed journals and international conference proceedings in the above areas (links to selected publications are included below). Her research is funded by NSF and Google. 

Prof. Eirinaki serves as the General Chair of IEEE BDS 2024, steering committee of the Silicon Valley Women in Engineering conference series (most recently WiE 2024), and guest editor of FGCS's special issue on Big Data Computing Service and Machine Learning Applications. She has recently served as Reproducibility Chair of ACM RecSys 2023, and Senior PC of ACM WSDM 2023 and TheWebConf 2023. She has previously served as guest editor, organization committee member, program committee member, or reviewer in numerous conferences and journals, including JDSA, TWEB, BDR, TKDE, DKE, SIGIR, KDD, RecSys, BigData, DSAA, ICDM, and CIKM, among others. 

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. 

Links

• Resume
• Selected publications (ORCID, DBLP, Google Scholar)
• Interviews
  • Aarna's News podcast (Episode #55) (7/2023)
  • SJSU Writing Center blog (3/2023)
  • Washington Square (8/2022)
  • 1st program of national public radio (in Greek) (8/2022)
  • Academic Spotlight series (12/2018) 

 

News

• (7/2024) Our project "HSI Pilot Project: CollaborAIte: Empowering Faculty to Enhance Belonging, Retention, and Collaborative Learning Skills through AI Literacy Education" (with Dr. Y. Liu and Dr. W. Wu) got selected for funding by NSF. 
• (7/2024) Our paper "Scalable and Autonomous Network Defense Using Reinforcement Learning" is published in IEEE Access. 
• (7/2024) Our project "Cloudsweeper: Leveraging Language Models to Personalize Sensitive Archive Search" (with Dr. C. Kanich, UIC) got selected for funding by the CAHSI-Google Institutional Research program.
• (5/2024) Our paper "Multi-Resolution Diffusion for Privacy-Sensitive Recommender Systems" is published in IEEE Access. An earlier pre-print version is available via arXiv. 
• (3/2024) Congratulations to our lab's student Derek Lilienthal for being selected as a finalist in the 2024 SJSU Grad Slam.
• (11/2023) Our paper "Using Graph Neural Networks for Social Recommendations" was published in Algorithms (SI: New Trends in Algorithms for Intelligent Recommendation Systems)
• (9/2023) Our paper "Prompt Recommendations for AI Art" was presented and will appear in the proceedings of IEEE AIKE 2023. 
• (8/2023) Our paper "Deep Learning in AI Medical Imaging for Stroke Diagnosis" was presented at the 2023 BMES annual conference. 
• (7/2023) Our paper "Distress Signal Recognition Using Pose Estimation and Neural Networks" was presented and will appear in the proceedings of IEEE MobileCloud 2023. 
• (7/2023) Dr. Eirinaki gave an interview to Aarna Sahu for her "Aarna's News" podcast. Listen here. 
• (6/2023) Dr. Eirinaki gave a keynote on "Recommender Systems: Methods, Challenges, and Opportunities" at the 5th Summit on Gender Equality in Comuting (GEC 2023).