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NEWS
+ Paper in ICDE'23.
+ Papers in ICDE'22, TKDE'22, TKDD'22.
+ Tutorial in CIKM'22.
+ Demo in CIKM'22, WSDM'22.
+ Papers in VLDB'21, WWW'21.
+ Papers in SIGMOD'20, VLDB'20.
+ Papers in ICDE'20, WWW'20.
+ Papers in SIGMOD'19, VLDB'19.
+ Book in Morgan & Claypool
+ Papers in TKDE'20, '18.
+ Papers in SIGMOD'18, VLDB'18.
+ Paper in USENIX ATC'18.
+ ACM SIGMOD blog post.


Talks
6.22: The Dutch Seminar on Data Systems Design, Netherlands.
8.21: AI Singapore, Singapore.
1.21: BITS Pilani, Hyderabad, India.
6.19: ISI Foundation, Torino, Italy.
3.19: Singapore GFMI conference.
8.18: NII Shonan Meet, Japan.

Services
Associate Editor: IEEE TKDE.
ICDE 2023 TKDE Poster Track Co-chair.
Proceedings Chair: EDBT 2020.
2023 PC: VLDB, SIGMOD (Demo).
2022 PC: SIGMOD, VLDB (Distinguished Reviewer), ICDE.
2021 PC: VLDB, ICDE, SDM, AAAI, HENA@KDD.

New: I have multiple openings for PhD, Postdoc, and RA positions. Interested candidates can contact me with CV.

PhD Application Link. Postdoc Application Link. RA Application Link.

Research Interests:

    Data management for the emerging problems in large graphs, with a focus on user-friendly, efficient, and approximate querying and pattern mining in social and information networks, using scalable algorithms, machine learning techniques, and distributed systems.
    Keywords: big graphs, big data, graph systems, knowledge graphs, uncertain graphs, graph streams, databases, data mining, machine learning, algorithms, exploratory data analysis, crowdsourcing, blockchain network analysis.

Education and Work Experience:

 

Honors and Awards:

  • PVLDB 2022 Distinguished Reviewers award.

  • Our IEEE Blockchain 2022 paper "Graph Analysis of the Ethereum Blockchain Data: A Survey of Datasets, Methods, and Future Work" is featured in Research Pulse #72 by the Smart Contract Research Forum (SCRF).

  • Invited as a Panel Expert for graph data management in ICDE 2022.

  • Recognized by Aminer among the Most Influential Scholar Award Honorable Mention for outstanding and vibrant contributions to the field of Database between 2010 and 2020.

  • My PhD student Xiangyu Ke, graduated in 2020, is awarded Honourable Mention for the NTU SCSE Outstanding PhD Thesis Award.

  • Invited to lead a panel discussion among industry leaders on synergies between data analytics and machine learning at the 3rd Edition of GFMI Conference Optimizing Data Governance, Quality and Consistency in Financial Services, Singapore (March 2019).

  • Invited for National Institute of Informatics (NII) Shonan Meeting on "Graph Database Systems: Bridging Theory, Practice, and Engineering", 2018, Japan.

  • Invited to contribute a chapter on graph pattern matching in the "Springer Encyclopedia of Big Data Technologies".

  • Invited to present a tutorial in the Asia Pacific Web and Web-Age Information Management Joint Conference on Web and Big Data (APWeb-WAIM 2017).

  • Invited to contribute an article in the ACM SIGMOD Blog.

  • Invited to present a tutorial on uncertain graphs in the International Conference on Management of Data (COMAD 2016).

  • Invited to submit an extended version of our VLDB 2015 tutorial as a book in Morgan & Claypool's Data Management series.

  • Invited to contribute a chapter on big-graphs processing in the "Springer Handbook on Big-Data Technologies".

  • Part of our VLDB 2014 Tutorial on Big-Graphs Systems included in the Large Scale Data Management (CS 848) Course 2015, University of Waterloo.

  • Invited for Dagstuhl Seminar 2014, Schloss Dagstuhl - Leibniz Center for Informatics, Germany [talk].

  • NSF ICDE 2012 Scholarship.

  • IBM Ph.D. Fellowship 2012-13.

  • NSF SDM (SIAM Conference of Data Mining) 2011 Student Travel Award.

  • P1 fellowship 2009-10, Computer Science, University of California, Santa Barbara.

  • CITRIX GO-TO fellowship 2008-2009, Computer Science, University of California, Santa Barbara.

  • TCS-JU Best Student Award 2007-08, an award honoring the best graduting undergraduate in the CS department at Jadavpur University.