Lecturer (Assistant Professor) in Data Science
Information Schoool, The University of Sheffield
Interim Deputy Program Coordinator, BSc Data Science
Department Employability Lead (Data Science)
Email:
h.k.chan@sheffield.ac.uk
Office:
C229
Address:
The Wave, The University of Sheffield
2 Whitham Road, Sheffield, S10 2AH, United Kingdom
News
02/2024 [Service] PC member of CIKM 2024 (full research paper track and short paper track)
03/2024 [Service] Reviewer of ACM Transactions on Knowledge Discovery from Data (TKDD)
02/2024 [Service] PC member of VLDB 2024, KDD 2024, MDM 2024, IEEE BigData 2024, PAKDD 2024 and APWeb-WAIM 2024
10/2023 [Service] Reviewer of Springer Data Science and Engineering Journal (DSEJ)
10/2023 [Service] Reviewer of ACM Transactions on Spatial Algorithms and Systems (TSAS)
09/2023 [Service] Reviewer of IEEE Transactions on Knowledge and Data Engineering (TKDE)
08/2023 [Publication] Our paper "Fraction-Score: A Generalized Support Measure for Weighted and Maximal Co-location Pattern Mining" is accepted by TKDE.
06/2023 [Service] PC member of ICDE 2024, CIKM 2023, SIGSPATIAL 2023, APWeb-WAIM 2023
04/2023 [Publication] Our paper "Contact Tracing over Uncertain Indoor Positioning Data" is accepted by TKDE.
02/2023 [Publication] Our paper "Data Imputation for Sparse Radio Maps in Indoor Positioning" is accepted by ICDE 2023.
Biography
I joined the Information School, The University of Sheffield in Sep 2022. Before that, I worked as a Postdoc researcher at the Programming, Logic and Intelligent Systems (PLIS) research group in the Department of People and Technology, Roskilde University (RUC), Denmark,
working on the research project Data Management for Indoor LBS (PI: Prof. Hua Lu).
I graduated in 2019 with a PhD degree from Department of Computer Science and Engineering, The Hong Kong University of Science and Technology (HKUST), Hong Kong, under the supervision of Prof. Raymond Chi-Wing Wong.
I obtained my BEng and MPhil degrees in Computer Science and Engineering from HKUST in 2013 and 2015, respectively.
In Fall 2019, I worked as a Visiting Lecturer at The Hong Kong Polytechnic University (PolyU). From Apr 2019 to Jul 2019, I was a visiting PhD student at the School of Computer Science and Engineering (SCSE), Nanyang Technological University (NTU), Singapore, hosted by Prof. Cheng Long. Besides, I was the hall tutor in Chan Sui Kau and Chan Lam Moon Chun Hall (Undergraduate Hall VII), HKUST, from Feb 2016 to Apr 2019.
Research Interests
My research interests include data mining and analytics, data science, and big data. My research concerns foundations for efficient information retrieval, data management and knowledge discovery from different types of data such as spatial data, spatio-textual data, and spatio-temporal data. In particular, I worked on the problems of query processing on spatio-textual data, spatial co-location pattern mining, and in the area of indoor location-based services (LBS). Recently, I have also been working on applying machine learning models in databases to improve the quality and query efficiency of spatial data.
Spatial Database (published in ICDE22, TKDE21, ICDE19, TKDE18, SSTD17)
Data Mining (published in TKDE24, ICDE19)
Indoor Location-based Services (published in ICDE23, TKDE23, VLDB22, SSTD19)
Opening: I am currently looking for full-time PhD students interested in data mining and analytics research. If you're interested in working with me, your're welcome to contact me via email. Please include your research proposal, CV and transcripts for all degrees.
Tiantian Liu, Huan Li, Hua Lu, Muhammad Aamir Cheema, and Harry Kai-Ho Chan,
"Contact Tracing over Uncertain Indoor Positioning Data (Extended Abstract)",
In The 40th IEEE International Conference on Data Engineering (ICDE),
2024. (Accepted) (pdf)
Xiao Li, Huan Li, Harry Kai-Ho Chan, Hua Lu, and Christian S. Jensen,
"Data Imputation for Sparse Radio Maps in Indoor Positioning",
In The 39th IEEE International Conference on Data Engineering (ICDE), page 2226-2239, 2023.
(pdf)(extended version)(code)
Harry Kai-Ho Chan, Huan Li, Xiao Li, and Hua Lu,
"Continuous Social Distance Monitoring in Indoor Space",
In The 48th International Conference on Very Large Data Bases (VLDB), Vol. 15, No.7, pages 1390-1402, 2022. (pdf)(slides)(code)
Harry Kai-Ho Chan, Shengxin Liu, Cheng Long, and Raymond Chi-Wing Wong,
"Cost-Aware and Distance-Constrained Collective Spatial Keyword Query (Extended Abstract)",
In The 38th IEEE International Conference on Data Engineering (ICDE),
2022. (pdf)
Harry Kai-Ho Chan, Tiantian Liu, Huan Li, and Hua Lu,
"Time-Constrained Indoor Keyword-aware Routing",
In The 17th International Symposium on Spatial and Temporal Databases (SSTD), pages 74-84, 2021.
(Selected as one of the best paper candidates) (pdf)(slides)(code)(video)
Harry Kai-Ho Chan, Cheng Long, Da Yan, and Raymond Chi-Wing Wong,
"Fraction-Score: A New Support Measure for Co-location Pattern Mining",
In The 35th IEEE International Conference on Data Engineering (ICDE), pages 1514–1525, 2019 (pdf)(slides)(code)
Harry Kai-Ho Chan, Cheng Long, and Raymond Chi-Wing Wong,
"On Generalizing Collective Spatial Keyword Queries (Extended Abstract)",
In The 35th IEEE International Conference on Data Engineering (ICDE), pages 2115–2116, 2019 (pdf)(poster)
Harry Kai-Ho Chan, Cheng Long, and Raymond Chi-Wing Wong,
"Inherent-Cost Aware Collective Spatial Keyword Queries",
In The 15th International Symposium on Spatial and Temporal Databases (SSTD), pages 357–375, 2017 (pdf)(slides)(code)
Journal papers:
Harry Kai-Ho Chan, Cheng Long, Da Yan, Raymond Chi-Wing Wong, and Hua Lu,
"Fraction-Score: A Generalized Support Measure for Weighted and Maximal Co-location Pattern Mining",
In IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol. 36, No. 4, pages 1582-1596, April 2024
(pdf)(code)
Tiantian Liu, Huan Li, Hua Lu, Muhammad Aamir Cheema, and Harry Kai-Ho Chan,
"Contact Tracing over Uncertain Indoor Positioning Data",
In IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol. 35, No. 10, pages 10324-10338, October 2023
(pdf)(extended version)(code)
Harry Kai-Ho Chan, Tiantian Liu, Huan Li, and Hua Lu,
"Time-Constrained Indoor Keyword-aware Routing: Foundations and Extensions",
In GeoInformatica (Special Issue of SSTD21 Best Papers), Vol. 27, pages 375-426, April 2023 (pdf)(code)
Huan Li, Tiantian Liu, Harry Kai-Ho Chan, and Hua Lu,
"Spatial data analysis for intelligent buildings: Awareness of context and data uncertainty",
In Frontiers in Big Data, Rising Stars in Data Mining and Management 2022 (pdf)
Harry Kai-Ho Chan, Shengxin Liu, Cheng Long, and Raymond Chi-Wing Wong,
"Cost-Aware and Distance-Constrained Collective Spatial Keyword Query",
In IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol. 35, No. 2, pages 1324-1336, February 2023 (pdf)(appendix)(code)
Harry Kai-Ho Chan, Cheng Long, and Raymond Chi-Wing Wong,
"On Generalizing Collective Spatial Keyword Queries",
In IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol. 30, No. 9, pages 1712-1726, September 2018 (pdf)(appendix)(code)
INF114 - Communicating Data: Spring 2024 (module coordinator)
INF4000 - Data Visualisation: Autumn 2023 (module coordinator), Autumn 2022
INF4001 - Information Visualisation for Decision Makers: Spring 2024, Spring 2023
INF6050 - Database Design: Spring 2023
HKCC, PolyU:
SEHH1031 - Information Technology for Languages Studies: Fall 2019
HKUST (Teaching Assistant):
COMP1942 - Exploring and Visualizing Data: Spring 2019, Spring 2018, Spring 2017, Spring 2016, Spring 2015, Spring 2014
COMP2711 - Discrete Mathematical Tools for Computer Science: Fall 2016, Fall 2013
COMP5331 - Knowledge Discovery in Databases: Fall 2017
Academic Services
Conference Session Chair:
ICDE 2023
SSTD 2021
Conference/Workshop Program Committee Member:
VLDB 2024
ICDE 2024, 2023 (demo track), 2022 (demo track)
KDD 2024 (research track), 2023 (research track)
ACM CIKM 2024 (full paper track, short paper track), 2023, 2022, 2021
ACM SIGSPATIAL 2023
SDM 2024
ECML-PKDD 2024, 2023
PAKDD 2024, 2023, 2022
IEEE BigData 2024, 2023, 2022
MDM 2024 (Industry and application track)
SSTD 2021
APWeb-WAIM 2024, 2023, 2022
DSAA 2023
ADMA 2022
ALIAS (The 3rd IEEE Intl. Workshop on ALgorithms for Indoor Architectures and Systems, collocated with MDM) 2023
Journal Referee:
International Journal on Very Large Data Bases (VLDBJ)
IEEE Transactions on Knowledge and Data Engineering (TKDE)
ACM Transactions on Knowledge Discovery from Data (TKDD)
Journal of Distributed and Parallel Databases (DAPD)
IEEE Access
Information Systems
GeoInformatica
Knowledge and Information Systems (KAIS)
ACM Transactions on Spatial Algorithms and Systems (TSAS)
Springer Data Science and Engineering Journal (DSEJ)
Knowledge-Based Systems
Awards
Best Paper Candidate in SSTD 2021, Aug 2021
Research Travel Grant in ICDE 2019, HKUST, Apr 2019
Student Travel Grant, ICDE 2019, Mar 2019
Overseas Research Award, HKUST, Feb 2019
Li Po Chun Charitable Trust Fund Scholarships, Aug 2018
Research Travel Grant in SSTD 2017, HKUST, Oct 2017
Hong Kong ICT Awards 2017, Office of the Government Chief Information Officer
Best Student Invention Grand Award
Best Student Invention (Tertiary or Above) Gold Award
Postgraduate Studentship, HKUST, 2013-2019
Professor Samuel Chanson Best Teaching Assistant Award, HKUST, 2014
Academic Achievement Award for Graduating Students, CSE, HKUST, 2013
Dean's List, HKUST, 2011-2013 (Four out of six semesters)
HKMA Information Technology Management Club Scholarship, 2012
Hong Kong and Kowloon Electrical Appliances Merchants Association Scholarship, 2012
Talks
DIREC Seminar 2021, Digital Research Centre Denmark
Workshop: WS3 – Advanced and Efficient Big Data Management and Analysis
Topic: Time-Constrained Indoor Keyword-aware Routing
Date: Sep 13, 2021
Guest lecturer in GEODESIGN course, RUC
Topic: Spatial Data and Databases
Date: Feb 18, 2021
Research Seminar, RUC
Topic: Co-location Pattern Mining
Date: Feb 17, 2021
Guest speaker in ENGG1010 seminar, HKUST
Theme: How engineers decide their major
Topic: Sharing on Computer Science and Engineering
Date: Mar 13, 2019