Magdalini Eirinaki

Magdalini Eirinaki

Professor
Associate Chair
Computer Engineering Department

Email

Preferred: magdalini.eirinaki@sjsu.edu

Telephone

Preferred: (408) 924-3828

Office Hours

TBA

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 and Associate Chair at the Computer Engineering Department of the College of Engineering at SJSU. 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 work is included below).

She currently serves as the Web Chair of IEEE ICDE 2021, PC Chair of IEEE BigDataService 2020, and PC member in several conferences (including IEEE Big Data 2020, RecSys 2020, DSAA 2020). She is also the editor of the special issue on Mobile and Big Data Services on the Edge and the Cloud of the Intl. Journal of Data Science and Analytics. She has previously serverd as guest editor, program committee member, and reviewer in numerous conferences and journals, including TKDE, DKE, ICDM, RecSys, BigData, and CIKM, among others. 

Dr. Eirinaki will be teaching CMPE 256-Web and Big Data Mining in Fall 2020. She has served as member of the Transformation 2030 Task Force on "Goal 2. Excel and Lead" and participates in several College and Department committees.

Dr. 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, and 2020. 

Links

News

  • (9/2020) Our paper, "Play it again IMuCo! Music composition to match your mood" got accepted at the TransAI 2020 conference. 
  • (7/2020) Our paper, "Reducing energy waste in households through real-time recommendations" got accepted at the ACM RecSys 2020 conference.
  • (6/2020) Our paper, "CollegeBot: A conversational AI approach to help students navigate College" got accepted at the HCI International 2020 conference. 
  • (4/2020) Catalog update! CMPE 256 has a new name as of Fall 2020. It will be now named "Web and Big Data Mining" to better reflect the topics it covers and align with our Data Science/AI curriculum.
  • (3/2020) Congratulations to studens Junlan Lu, Aldrich Mangune, and Nikhil Takappa Saunshi, whose project is one of the SJSU finalists to participate in the state-wide CSU student research competition this April!
  • (2/2020) Prof. Eirinaki will lead the "Ethics of AI" panel at the 2020 Silicon Valley Women in Engineering (WiE) conference
  • (2/2020) Our paper, "The Tipping Point In Social Networks: Investigating

    the Mechanism behind Viral Information Spreading", got accepted at the IEEE BigDataService 2020 conference. 

  • (1/2020) Our paper, "Evaluating Validity of Synthetic data in Perception tasks for Autonomous Vehicles", got accepted at the IEEE AITest 2020 Conference
  • (1/2020) CFP for our special issue on Mobile and Big Data Services on the Edge and the Cloud (Intl. J. of Data Science and Analytics, Springer) posted. 
  • (1/2020) Prof. Eirinaki to speak at the "State of AI and ML" (ValleyML 2020) event.
  • (11/2019) Our paper, "A SERP-Mining Approach for Classification of DNS Requests", appears in Proc. of IEEE Big Data 2019
  • (9/2019) The special issue of Big Data Research journal on "Big Data for Smart Cities" is now published. 
  • (9/2019) Our paper, "ViSeR: A Visual Search Engine for e-Retail", appears in Proc. ofTransdisciplinary AI 2019
  • (9/2019) Our paper, "A Graph-based recommender system for food products", appears in Proc. of Graph Computing 2019