Dr. Grigorios Loukides

Senior Lecturer (Assoc. Prof.), Department of Informatics, King's College London

  N. 5.13, Department of Informatics
Bush House, 30 Aldwych, London, WC2B 4BG, UK
tel: +44 20 7848 0553

photo


Dr. Loukides is a Senior Lecturer (Associate Professor) in the Department of Informatics, King's College London. He was a Royal Academy of Engineering Research Fellow (2011-2016) at School of Computer Science & Informatics, Cardiff University and a Postdoctoral Research Fellow (2008-2011) at the Department of Biomedical Informatics, Vanderbilt University, USA.  His research  interests lie broadly in the field  of  data  mining with  a focus on privacy. His recent research investigates theoretical and  practical aspects of  data privacy, including algorithmic  design, optimization, and formal  modeling, and explores  applications  in  healthcare and  business. He serves  in the  Editorial Board  of Journal of Health Informatics,  as a PC member of conferences (e.g., ICDE, ICDM, CIKM, AAAI, and IJCAI), and as a reviewer for journals (e.g., ACM Trans. on Privacy and Security, IEEE Trans. on Knowl. and Data Engin., and J. of Biomed. Inf.). He is editor of Medical Data Privacy Handbook and author of Anonymization of Electronic Medical Records to Support Clinical Analysis

Recent Publications

1. C. Hu, J. Li, Z. Liu, X. Guo, Y. Wei, X. Guang, G. Loukides, and C. Dong. How to Make Private Distributed Cardinality Estimation Practical, and Get Differential Privacy for Free.
USENIX Security Symposium, 2021. (Forthcoming).

2. G. Bernardini, A. Conte, G. Gourdel, R. Grossi, G. Loukides, N. Pisanti, S. Pissis, G. Punzi, and L. Stougie, and M. Sweering. Hide and Mine in Strings: Hardness and Algorithms.
IEEE International Conference on Data Mining (ICDM), 2020. (Forthcoming)

3. G. Bernardini, H. Chen, A. Conte, R. Grossi, G. Loukides, N. Pisanti, S. Pissis, G. Rosone, and M. Sweering. Combinatorial Algorithms for String Sanitization.
ACM Transactions on Knowledge Discovery from Data (TKDD), 2020. (Forthcoming) (Impact Factor 2.01)

4. H. Chen, G. Loukides, H. Chan, and S. Pissis. Influence Maximization in the Presence of Vulnerable Nodes: A Ratio Perspective
Theoretical Computer Science (TCS), 2020.

5. G. Loukides, R. Gwadera, and S. Chang. Overexposure-aware influence maximization.
ACM Transactions on Internet Technology (TOIT), 2020. (Impact Factor 1.598)

6. H. Chan, G. Loukides, and Z. Su. Algorithms for Optimizing the Ratio of Monotone k-Submodular Functions.
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), 2020.

7. H. Zhong, G. Loukides, and R. Gwadera. Clustering datasets with demographics and diagnosis codes
Journal of Biomedical Informatics (JBI). vol 102 (103360), 2020. (Impact Factor 3.526).

8. G. Bernardini, H. Chen, G. Fici, G. Loukides, and S. Pissis. Reverse-safe data structures for text indexing.
SIAM Symposium on Algorithm Engineering and Experiments (ALENEX), 2020.

Selected Publications (more at: DBLP, Google Scholar)

1. G. Loukides and G. Theodorakopoulos. Location histogram privacy by sensitive location hiding and target histogram avoidance/resemblance.
    Knowledge and Information Systems: An International Journal (KAIS) Forthcoming (Impact Factor 2.936) [Extended version in arxiv]

2. G. Bernardini, H. Chen, A. Conte, R. Grossi, G. Loukides, N. Pisanti, S. Pissis, and G. Rosone. String Sanitization: A combinatorial Approach.
    European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD), 2019. (Acceptance rate: 130/734≈18%)
    [code] [Extended version in arxiv]

3. C. Dong and G. Loukides. Approximating Private Set Union/Intersection Cardinality with Logarithmic Complexity.
    IEEE Transactions on Information Forensics and Security, vol 12 (11), 2017. (Impact Factor 4.33)

4. R. Gwadera and G. Loukides. Cost-effective viral marketing in the Latency Aware Independent Cascade model.
    Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2017. (Acceptance rate for long  presentation papers: 45/458≈9.8%)

5. G. Poulis, G. Loukides, S. Skiadopoulos, and A. Gkoulalas-Divanis. Anonymizing datasets with demographics and diagnosis codes in the presence of utility constraints.
    Journal of Biomedical Informatics (JBI), vol 65 (1), 2017. (Impact Factor 2.45)

6. G. Loukides and R. Gwadera. Optimal event sequence sanitization.
    SIAM International Conference on Data Mining (SDM), 2015.

7. R. Gwadera, A. Gkoulalas-Divanis, and G. Loukides. Permutation-based Sequential Pattern Hiding.
    IEEE International Conference on Data Mining (ICDM), 2013. (Acceptance rate for regular papers: 94/809≈11.6%)
    [presentation, poster]

8. G. Loukides, A. Gkoulalas-Divanis, and J. Shao. Efficient and Flexible Anonymization of Transaction Data.
    Knowledge and Information Systems: An International Journal (KAIS), vol 36 (1), 2013. (Impact Factor 2.225)

9. G. Poulis, G. Loukides, A. Gkoulalas-Divanis, and S. Skiadopoulos. Anonymizing data with relational and transaction attributes.
    European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD), 2013.


10. A. Gkoulalas-Divanis and G. Loukides. Revisiting Sequential  Pattern Hiding to Enhance Utility.

      ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2011. 

11. G. Loukides, A. Gkoulalas-Divanis, and B. Malin. COAT:  Constraint-based Anonymization of Transactions.
     Knowledge and Information Systems: An International Journal (KAIS), vol 28 (2), 2011. (Special issue: Context-Aware Data Mining) (Impact Factor 2.21)


12. G. Loukides, A. Gkoulalas-Divanis, and B. Malin. Anonymization of Electronic Medical Records for Validating Genome-Wide Association Studies.
     Proceedings of the National Academy of Sciences of the  United States of America, vol. 107 (17), 2010. (Impact Factor 9.83)
     Acknowledged as one of the most  important technologies to improve the effectiveness of healthcare by a
     National Human Genome Research Institute Nature publication

Recent Invited Talks

1. String sanitization: a combinatorial approach. Laboratoire d'Informatique de l'Ecole Polytechnique, Paris, France, 2019
2. String sanitization: a combinatorial approach. University of Pisa, Pisa, Italy, 2019
3. Preventing string data from reconstruction. Cardiff University, Cardiff, UK, 2019
4. Data Mining and Modelling as a Tool for Biosecurity. New approaches to gray zone threats, University of New South Wales (UNSW), Australia, 2018.
5. Privacy-preserving publication of complex data. Sensing and Privacy Workshop, Queen Mary University of London (QMUL), UK, 2017.
6. Anonymization of high-dimensional datasets, Isaac Newton Institute, Cambridge, UK, 2016

Tutorials

1. Privacy-preserving Medical Data Sharing, SIAM International Conference on Data Mining (SDM) 2012, Anaheim, California, USA, 2012.
2. Privacy Challenges and Solutions for Medical Data Sharing, ECML/PKDD 2011, Athens, 2011.

Selected Media  Coverage

                  Technology Review, KDNuggets, Science News, Nature News, Scientific American, ComputerWeekly.com, The RegisterChannel 4, Conversation

 Selected Professional Service 
    Guest Editor:
                 Journal of Biomedical Informatics - special issue on Informatics Methods in Medical Privacy

     Chair: 
                  
London Stringology Days / London Algorithmic Workshop: 2019, 2020.
                 International Workshop on Privacy Aspects of Data Mining (in conj. with ICDM): 2013, 2014.
     Track Chair:
                  
International Database Engineering & Applications Symposium (IDEAS): 2017.           
     Area Chair:
           
      IEEE International Conference on Big Knowledge (ICBK): 2018.
     Program Committee Member:
                   
AAAI Conference on Artificial Intelligence (AAAI): 2020, 2021
                  
ACM International Conference on Information and Knowledge Management (CIKM): 2019.
                   IEEE International Conference on Data Engineering (ICDE): 2021
                  
IEEE International Conference on Data Mining (ICDM): 2011, 2014, 2015, 2016, 2017, 2018, 2019, 2020. 
                 IEEE International Conference on Big Knowledge (ICBK): 2017.
                 IEEE Cyber Science amd Technology Congress: 2018.
                 International Database Engineering & Applications Symposium (IDEAS): 2018, 2019, 2020. 
                 International Joint Conference on Artificial Intelligence and European Conference on Artificial Intelligence (IJCAI/ECAI): 2018, 2019, 2020.
      
      Reviewer:

                 ACM Transactions on Privacy and Security                 
                 ACM Computing Surveys
                 Data and Knowledge Engineering (DKE)
                 IEEE Transactions on Knowledge and Data Engineering (TKDE)
                 IEEE Transactions on Cloud Computing
                 Information Sciences
                 Information Processing Letters (IPL)
                 Journal of the American Medical Informatics Association (JAMIA)
                 Journal of Biomedical Informatics (JBI)  - Oustanding reviewer (2014, 2018)
                 Journal of the Royal Statistical Society
                 Knowledge and Information Systems (KAIS)
                 Transactions on Data Privacy (TDP)
                 
                            

    Current PhD Students 

      1. Huiping Chen (first supervisor)
      2. Haodi Zhong (first supervisor)
      3. Hayam Alamro (second supervisor)
      4. Miznah Alshammary (second supervisor)
                       
                        Selected Grants
      1. Privacy-preserving collection of sequences from individuals for data mining Leverhulme Trust (Jul. 2020 - June 2022, GBP 219,016.62)
      2. Predicting treatment response using non-black box machine learning based pathology and radiology image analysis in breast and head-neck cancers
        CRUK Cancer Research UK (Apr. 2020 - Dec. 2020, GBP15,000.000)
      3. Reverse-Safe Data Structures Royal Society (March 2020 - March 2022, GBP 12,000.00)
      4. King's Worldwide Partnership Fund: Global Health: Disease modelling for sustainable health. (Sept 2019 - Dec. 2019, GBP 6,100)
      5. King's Together. CABINDA (CAncer microBiome ImmuNology DAtascience) (Sept. 2018 - Sept. 2019, GBP 99,500, Co-I)
      6. Academy of Medical Sciences. Earlier identification of children and young people with attention deficit/hyperactivity disorder (ADHD) using their medical records.
        (GBP 30,000,Co-I)
      7. PLUS Alliance Accelerator grant. Enhancing global health security through avian influenza genomic models. (Jul. 2018 - May 2019, GBP 20,000, Co-I)
      8. Consultation for an EU project on IoT outlier detection held by a start-up (Dec. 2018, GBP 2,000)
      9. Digital Catapult (cascade funding from European Commission) Privacy analyzer for Internet of Things (Aug. 2017 - Sept. 2018, GBP 100,000, Co-I)
      10. Royal Academy of Engineering Fellowship (Sept. 2011 - Sept. 2016, GBP 515,000, personal grant)
      11. LivingMarket InnovateUK (Apr. 2016 - Apr. 2017, GBP 165,000, academic subcontractor)
      12. Welsh Crucible research grant (Jan. 2016 - Sept. 2016, GBP 10,000, co-I)
      13. US National Library of Medicine, Technologies to Enable Privacy in Biomedical Databanks (Sept. 2009 - Aug. 2015, $286,964, researcher).
      14. US national Human Genome Research Institute, Vanderbilt Genome-Electronic Records Project (Sept. 2007 July 2011, $1,657,000, researcher).