Georgios Fakas

Senior Lecturer/Associate Professor at Department of Information Technology; Division of Computing Science

Telephone:
+46 18 471 28 46
E-mail:
georgios.fakas@it.uu.se
Visiting address:
Lägerhyddsvägen 7, hus 19
SE-752 37 Uppsala
Sweden
Postal address:
Box 337
751 05 UPPSALA

Download contact information

Academic merits:
research fellow
ORCID:
0000-0002-8313-5538

Short presentation

I am an Associate Professor (Docent) at the Dep. of Information Technology, Uppsala University. I am currently leading the Uppsala DataBase Laboratory (UDBL). Before Uppsala University, I worked as a Research Fellow at the Hong Kong University of Science and Technology, Hong Kong University, EPFL (Lausanne, Switzerland), UMIST (Manchester, UK). I also worked as a Senior Lecturer at Manchester Metropolitan University (UK).

Personal page: https://georgiosfakas.github.io/Georgios-Fakas-web-page/

Keywords

  • database
  • data mining
  • big data
  • social networks
  • geospatial data
  • database technologies
  • keyword search and ranking
  • graphs

Biography

Georgios Fakas (Γεώργιος Φάκας , 佐治.法卡斯)

Please also visit my personal page or the page of our lab: Uppsala DataBase Laboratory.

I am an Associate Professor (Docent) at the Department of Information Technology, Uppsala University. Before joining Uppsala University, I worked as a Research Fellow at the Hong Kong University of Science and Technology, Hong Kong University, EPFL (Lausanne, Switzerland), UMIST (Manchester, UK), University of Cyprus (Cyprus). I also worked as a Senior Lecturer at Manchester Metropolitan University (UK). I have published papers in the most influential conferences and journals of data management, including SIGMOD, PVLDB, VLDB Journal, IEEE TKDE, DKE, etc.

Education. I obtained my Ph.D. in 1998, my M.Phil. in 1996 and my B.Sc. in Computation in 1995; all from the Department of Computation, UMIST, Manchester, UK.

Current funding

eSSENCE, Sweden. Principal Investigator for the project “Data-intensive analytics for discovering critical minerals using Machine Learning”, Call for PhD projects in the eSSENCE graduate school in data-intensive science 2024. In collaboration with streamanalyze.com (Tore Risch) and www.smartexploration.se (Bjarne Almqvist).

PhD Supervision

Current: (1) Hedaya Alyousif (2025), co-supervision with Bjarne Almqvist and Christian Schiffer (www.smartexploration.se). (2) Yang Yang (2025) (funded by eSSENCE graduate school).

Completed at UU: (1) Georgios Kalamatianos completed in December 2022, (2) Khalid Mahmood completed in January 2022.

Completed at MMU: (3) Zhi Cai was my second PhD student (completed his PhD in 2011). Dr. Cai is currently a Lecturer at the Beijing University of Technology, China. (4) Ben Cawley was my first PhD student (completed his PhD in 2008). Dr. Cawley's first employment was in a start up company in the U.K.

Professional Activities.

Member of Programme Committees:

  • 2026: ACM SIGMOD, ADBIS.
  • 2025: ACM SIGMOD.
  • 2024: PVLDB.
  • 2023: PVLDB.
  • 2021: ACM SIGMOD, EDBT.
  • 2020: ACM SIGMOD, IEEE ICDE.
  • 2019: ACM SIGMOD, SSTD, WISE, IEEE/ACM WI’19.
  • 2018: HDMS, WESOACS.
  • 2010: HDMS.
  • 2005: HICSS.
  • 2001: ACM SAC.

Frequent Reviewer for:

  • IEEE TKDE, VLDBJ (Elsevier), IS (Elsevier), DKE (Elsevier), IST (Elsevier).

Research

My research interests include (1) big data; (2) data mining; (3) web search; (4) online (geo) social networks. I am also interested in (5) workflow management. Other research interests also include Computers in Education, Distance and Collaborative Learning.

Georgios Fakas

Publications

Recent publications

All publications

Articles in journal

Conference papers

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