Magdalini Eirinaki

Magdalini Eirinaki

Professor
Associate Chair
Computer Engineering Department

Email

Preferred: magdalini.eirinaki@sjsu.edu

Telephone

Preferred: (408) 924-3828

Office Hours

Thursday, 2:30pm - 4:30pm

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 and member of the SJSU Center of Smart Technology, Computing, and Complex Systems (STCCS). Her research interests cover the areas of web mining and recommender systems and, in particular, on social network mining, aspect-based recommendations, interactive database exploration, social recommender systems, personalization, and deep learning for recomender systems. Other areas of interest include smart city applications, and educational data analytics. She has published several papers in refereed journals and international conference proceedings in the above areas (links to selected work is included below).

Currently she serves as the guest editor of the special issue on "Big Data for Smart Cities" of the Big Data Research (BDR) journal, the PC Chair of the BigDataService 2019 Workshop on Smart Cities, while she has served as program committee member, guest editor, and reviewer in multiple conferences and journals in the past. 

Dr. Eirinaki is currently teaching the CMPE 188 - Machine Learning for Big Data and the CMPE 256 - Large-scale Analytics courses (Fall 2018). She also serves as the Associate Chair of the Computer Engineering Department and is member of the Student Review Evaluation Board University committee and several College and Department committees.

Dr. Eirinaki received the SJSU distinguished faculty mentor award in 2015 and is the recipient of the 2017 Applied Materials Award for Excellence in Teaching

Links

 Selected publications (via Scholarworks, via DBLP, via Google Scholar)

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