Publications & Services

My DBLP Entry, Google scholar

Peer-reviewed Journals:

  • Iulian SANDU POPA, Dai Hai TON THAT, Karine ZEITOUNI and Cristian BORCEA. Mobile Participatory Sensing with Strong Privacy Guarantees Using Secure Probes. In Journal of GeoInfomatica 2021.

  • Dai Hai TON THAT, James WAGNER, Alexander RASIN and Tanu MALIK. PLI+: Efficient Clustering of Cloud Databases. Journal of Distributed and Parallel Databases (DAPD), Oct. 2019.

  • Zhihao Yuan, Dai Hai TON THAT, Siddhant KOTHARI, Gabriel FILS and Tanu MALIK. Utilizing Provenance in Reusable Research Objects. Journal of Informatics, Vol. 5, No.14, March, 2018.

  • Brigitte CHAUVIN, Danièle GARDY, Nicolas POUYANNE and Dai Hai TON THAT. B-urns. Latin American Journal of Probability and Mathematical Statistics (ALEA), Vol. 13, No. 2, July, 2016, p. 605-634.

  • Dai Hai TON THAT, Iulian SANDU POPA, Karine ZEITOUNI and Cristian BORCEA. Un protocole basé sur des mobiles sécurisés pour une collecte participative de données spatiales en mobilité réellement anonyme. Revue Internationale de Géomatique (RIG), Vol. 26, No. 2, August, 2016, p. 185-210.

  • Dai Hai TON THAT, Iulian SANDU POPA and Karine ZEITOUNI. TRIFL: A Generic Trajectory Index for Flash Storage. ACM Transaction on Spatial Algorithms and Systems (ACM TSAS), Vol. 1, No. 2, July, 2015, p.1-44.

Peer-reviewed Conferences:

  • Dai Hai TON THAT, Alexander Rasin, Tanu Malik. LDI: Learned Distribution Index for Column Stores. In proceedings of IEEE International Conference on Big Data (IEEE BigData 2021), Dec 15-18, 2021, Orlando, Florida, USA.

  • Dai Hai TON THAT, Mohammadsaleh Gharehdaghi, Alexander Rasin, Tanu Malik. On Lowering Merge Costs of and LSM Tree. In proceedings of International Conference on Scientific and Statistical Database Management (ACM SSDBM 2021), July 6, 2021, Tampa, Florida, USA.

  • Kaylin Bugbee, Rahul Ramachandran, Manil Maskey, Aimee Barciauskas, Aaron Kaulfus, Dai Hai TON THAT, Katrina Virts, Kel Markert, Chris Lynnes. Advancing Open Science Through Innovative Data System Solutions: The Joint ESA-NASA Multi-Mission Algorithm and Analysis Platform (MAAP)'s Data Ecosystem. In proceedings of IEEE International Geoscience and Remote Sensing Symposium, 2020 (IGRASS 2020).

  • James Wager, Alexander Rasin, Dai Hai TON THAT, Tanu Malik, Jonathan Grier. ODSA: Open Database Storage Access. In the 23rd International Conference on Extending Database Technology (EDBT 2020), March 30 - April 02, 2020, Copenhagen, Denmark.

  • Andrew Youngdahl, Dai Hai TON THAT, Tanu Malik. SciInc: A Container Runtime for Incremental Recomputation. In IEEE International Conference on eScience (eScience 2019), Sep 24-27, 2019, San Diego, CA, USA.

  • Dai Hai TON THAT, Gabriel Fils, Zhihao Yuan, Tanu Malik. Sciunits: Reusable Research Objects. In Proceedings of IEEE International Conference on eScience (eScience 2017), Oct 24-27, 2017, Auckland, New Zealand.

  • James Wagner, Alexander Rasin, Dai Hai TON THAT, Tanu Malik. PLI: Augmenting Live Databases with Custom Clustered Indexes. In Proceedings of International Conference on Scientific and Statistical Database Management (SSDBM 2017), June 27-29, 2017, Chicago, IL, USA.

  • Anh Truong, Dai Hai TON THAT. Solving the User-Role Reachability Problem in ARBAC with Role Hierarchy. In ACOMP 2016: 3-10, Nov, 2016, Can Tho, Vietnam. In Proceedings IEEE International Conference on Advanced Computing and Applications (ACOMP 2016), November 23-25, 2016, Can Tho City, Vietnam.

  • Dai Hai TON THAT, Iulian SANDU POPA, Karine ZEITOUNI and Cristian BORCEA. PAMPAS: Privacy-Aware Mobile Participatory Sensing Using Secure Probes. In International Conference on Scientific and Statistical Database Management (SSDBM 2016), July 18-20, 2016, Budapest, Hungary.

  • Dai Hai TON THAT, Iulian SANDU POPA and Karine ZEITOUNI. PPTM: Privacy-Aware participatory traffic monitoring using mobile secure probes. In IEEE international conference on Mobile Data Management (IEEE MDM 2015), June 15-18, 2015, Pittsburgh, PA, USA.

  • Dai Hai TON THAT, Anh-Vu Dinh-Duc and Khoi Phan Dinh. Implementation of TinyOS on FPGA system. In IEEE TENCON 2010, Nov 21-24, 2010, Fukuoka, Japan.

Peer-reviewed National Conferences (France):

  • Dai Hai TON THAT, Iulian SANDU POPA, Karine ZEITOUNI and Cristian BORCEA. PAMPAS: Collecte participative respectueuse de la vie privée basée sur des mobiles sécurisés. In Bases de Données Avancées (BDA 2015), Sep 29 – Oct 2, 2015, Ile de proquerolles, France.

  • Dai Hai TON THAT, Iulian SANDU POPA and Karine ZEITOUNI. PPTM: Privacy-Aware participatory traffic monitoring using mobile secure probes. In Bases de Données Avancées (BDA 2015), Sep 29 – Oct 2, 2015, Ile de proquerolles, France.

Peer-reviewed workshop (with proceedings):

  • Andrew Youngdahl, Zhihao Yuan, Dai Hai TON THAT, Tanu Malik, Ivo Jimenez, Carlos Maltzahn. Semantically Organized Containers for Reproducible Research. In Proceedings of the 1st Workshop on Reproducible, Customizable and Portable Workflows for HPC (RESCUE’18) 11 Nov. 2018, Dallas, TX, US.

  • Dai Hai TON THAT, Andrew Youngdahl, Tanu Malik and Alexander Rasin. Using Provenance for Generating Automatic Citations. In Proceedings of the 10th USENIX Workshop on Theory and Practic of Provenance (TaPP’18), July 9-13, 2018, London, UK.

  • Quan Pham, Tanu Malik, Dai Hai TON THAT and Andrew Youngdahl. Improving Reproducibility of Distributed Computational Experiments. In Proceedings of First International Workshop on Practical Reproducible Evaluation of Computer Systems (P-RECS’18) in conjunction with HPDC’18, June 11-15, 2018, Tempe, AZ, United States.

Invited Talks:

  • Dai Hai TON THAT, Iulian SANDU POPA, Karine ZEITOUNI and Cristian BORCEA. PAMPAS: Privacy-Aware Mobile Participatory Sensing using secure probes. In GdR ISIS & MADICS, Oct 6th, 2015, Telecom ParisTech, Paris, France.

Posters & Demos:

  • Dai Hai TON THAT, Andrew Youngdahl, Tanu Malik and Alexander Rasin. Using Provenance for Generating Automatic Citations. Poster at 7th Greater Chicago Area Systems Research Workshop (GCASR), University of Chicago, April 30, 2018, Chicago, USA.

  • Zhihao Yuan, Dai Hai TON THAT, Siddhant Kothari, Gabriel Fils and Tanu Malik. Utilizing Provenance in Reusable Research Objects. Poster at 7th Greater Chicago Area Systems Research Workshop (GCASR), University of Chicago, April 30, 2018, Chicago, USA.

  • Tanu Malik, Dai Hai TON THAT, Zhihao Yuan, Bakinam Essawy, Gan Tian, Pabitra Dash, David Tarboton, Jonathan Goodall, Ian Foster, Eunseo Choi, Scott D Peckham, Asti Bhatt. GeoTrust: Improving Sharing and Reproducibility of Geoscience Applications. Demonstration at EarthCube All Hands Meeting. Jun 7-9, 2017, Seattle, Washington, USA.

  • Tanu Malik, Dai Hai TON THAT, Zhihao Yuan, Gabriel Fils, Sumanth Krishna. SciunitHub: A Platform for Sharing and Reproducing Science Applications. Poster. Apr 17, 2017, Chicago, IL, USA.

  • Dai Hai TON THAT, Iulian SANDU POPA and Karine ZEITOUNI. Privacy Preserving Approaches for Mobile Participatory Sensing Applications. Demonstration at CNRS Innovation, Nov 16, 2016, Paris, France.

  • Dai Hai TON THAT, Iulian SANDU POPA and Karine ZEITOUNI. Multi-Views for Privacy Preserving online Traffic Monitoring using Mobile Probes. Poster at 1st business convention of the Université Paris-Saclay on Big Data, Nov 24, 2015, HEC, Paris, France.

  • Dai Hai TON THAT, Iulian SANDU POPA and Karine ZEITOUNI. Privacy-Aware participatory traffic monitoring using mobile secure probes. Poster at Bases de Données Avancées, Sep 29 – Oct 2, 2015, Ile de proquerolles, France.

PhD thesis:


Services:

  • Guest Editor:

    • 2022-2023: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (J-STARS) (Impact factor: 4.6)

  • General Chair:

    • 2022: IEEE GRSS workshop on Remote Sensing Data Management Technologies in GeoScience 2022 (RSDM-GeoSci 2022).

  • Chair:

    • 2021: Chair of the Databases in Remote Sensing Working Group (DBRS WG) of the IEEE GRSS ESI Technical Committee.

  • Journal Reviewer:

    • 2021: Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS)

    • 2021: Journal of Computer Languages (COLA)

    • 2020: Distributed and Parallel Databases (DAPD)

    • 2020: Data Science Journal (DSJ)

    • 2019: Journal of Computer Languages (COLA)

    • 2019: IEEE Transactions on Cloud Computing (TCC)

    • 2019: IEEE Transactions on Knowledge and Data Engineering (TKDE)

    • 2018: IEEE Transactions on Knowledge and Data Engineering (TKDE)

    • 2018: Journal of Visual Languages and Computing (JVLC)

    • 2017: ACM Transactions on Spatial Algorithms and Systems (ACM TSAS)

    • 2017: Distributed and Parallel Databases (DAPD)

  • Conference Reviewer:

    • 2020: International Conference on Scientific & Statistical Database Management (SSDBM)

    • 2019: International Conference on Scientific & Statistical Database Management (SSDBM)

    • 2018: International Conference on Advances in Databases, Knowledge and Data Applications (DBKDA)

    • 2017: International Conference on Future Data Security Engineering (FDSE)