Associate Professor
ABET Coordinator
Computer Engineering Department

Email

Preferred: magdalini.eirinaki@sjsu.edu

Telephone

Preferred: (408) 924-3828

Office Hours

Tuesday 2 - 4 pm

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

Bio

Dr. Magdalini Eirinaki is an Associate Professor at the Computer Engineering Department of the College of Engineering at SJSU. 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 and personalization. Most recently, as member of the SJSU Center of Smart Technology, Computing, and Complex Systems (STCCS), she has been involved in several smart city projects. 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 "Recommender Systems for Large-Scale Social Networks" of the Future Generation Computer Systems (FGCS) journal, "Big Data for Smart Cities" of the Big Data Research (BDR) journal, and the PC Chair of the DESWeb 2017 Workshop (in conjuction with ICDE 2017), while has served as program committee member and reviewer in multiple conferences and journals in the past. 

Dr. Eirinaki is currently teaching the CMPE/SE 188 - Machine Learning for Big Data course (Spring 2017). She also serves as the ABET coordinator for Computer Engineering Department, overviewing the assessment of both BS in Computer Engineering and BS in Software Engineering programs. She is also the 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)