Aris Gkoulalas-Divanis is a regular reviewer for Data and Knowledge Engineering (DKE), Transactions on Knowledge and Data Engineering (TKDE), Knowledge and Information Systems (KAIS), and Data Mining and Knowledge Discovery (DMKD). He serves as a Category Editor for ACM Computing Reviews as well as is appointed in the Editorial Board of the International Journal of Knowledge-Based Organizations (IJKBO). From January to August 2009 he served as an Associate Editor for ACM Crossroads. His research interests are in the areas of databases, data mining, privacy preserving data mining, privacy in trajectories and location-based services, privacy in medical data, and knowledge hiding. In these areas, he has given many seminars in universities and research institutes as well as two tutorials (ECML/PKDD 2011, SDM 2012), he has published more than 70 research works, including four Springer books, and he has filed 12 patents. He has received an IBM A-level accomplishment for his contribution to the Urban Data Innovation work for Smarter Cities. His recent paper in the Proceedings of the National Academy of Sciences (PNAS) proposed the first approach which anonymizes medical data in a way that it remains useful for validating Genome- Wide Association Studies (GWAS), and was reported by the National Human Genome Research Institute (NHGRI) among the important advances in the last 10 years of genomic research (Eric D. Green, et al. in Nature, vol. 470, 2011). Aris Gkoulalas-Divanis is a Professional member of ACM, IEEE, SIAM and AAAS, and an at-large member of UPE and Sigma Xi.

Recent projects: IPV: Identification of privacy vulnerabilities in datasets of different data types, PRIMA: Privacy Masking & Anonymization, design and development of anonymization methods for social housing data, participation to the SIMPLICITY and the PETRA EU projects on their data privacy needs.