News (2019)

MLH Local Hack Day 2019

• 1. On Saturday, December 07, 2019, Dr. Carson K. Leung serves as a judge on students' projects for the Local Hack Day IV at University of Manitoba: A Build Day hosted by UM .devClub. This local event is a part of the Major League Hacking (MLH)'s day-long global hackathon.

  2. The TreePeg project—demonstrated by Justin M.C. Choi (a lab member) and his collaborator (Nick)—won both the Community Impact Award and the Overall Top Prize. They built and worked together on this new project, which made use of the resources available and created a hack that would help out the community as a whole. To elaborate, they used Winnipeg's Open API in order to create TreePeg that would be useful to the community.

UManitoba Nexus 2019

• 1. Dr. Carson K. Leung serves on the Organizing Committee for the International Data Science Conference (NEXUS 2019) hosted by Data Science NEXUS in Faculty of Science at University of Manitoba held November 14, 2019 in Winnipeg, MB, Canada.

  2. The following lab members prepared their solutions to the Data Science Student Challenges during October 18-November 08, 2019, and displayed their research posters on Thursday, November 14, 2019:

     1. • Calvin S.H. Hoi and Joglas Souza focused on food preparation time prediction using random forest regression. Their group was the runner-up for the awards for this Student Challenges.

        • Joshua Hamilton, Sehaj Pal Singh, and their collaborator (Jaret André) focused on predicting food preparation time.

TransCanada PipeLines Graduate Fellowship

Based on his academic achievements, Jiaxing Jason Mai is selected by the UofM Financial Aid and Awards to receive TransCanada PipeLines Graduate Fellowship in Science (for a full-time graduate student with high standing in the Faculty of Science) with an award value of $5,600 for Fall 2019-Winter 2020 session.

IEEE IOV 2019

Dr. Carson K. Leung serves as a Publicity Chair for the Sixth International Conference on Internet of Vehicles (IOV 2019) held November 18-21, 2019 in Kaohsiung (高雄), Taiwan. Proceedings are published as LNCS by Springer.

IEEE DSCI 2019

• 1. Dr. Carson K. Leung serves as a General Chair for the Third IEEE International Conference on Data Science and Computational Intelligence (DSCI 2019) held October 21-23, 2019 in Shenyang (辽宁省 沈阳), China. It is a part of the 2019 IEEE International Conferences on Ubiquitous Computing & Communications (IUCC) and Data Science and Computational Intelligence (DSCI) and Smart Computing, Networking and Services (SmartCNS).

  2. Carson Kai-Sang Leung, Mohamed Medhat Gaber, Chunlong Fan: Message from the DSCI 2019 General Chairs. IEEE IUCC-DSCI-SmartCNS 2019: xxiv

     1. Message from the DSCI 2019 General Chairs

     2. IUCC-DSCI-SmartCNS 2019

     3. Welcome to the 3rd International Conference on Data Science and Computational Intelligence (DCSI2019) organized by Shenyang Aerospace University. It is with our great honor to welcome all participants of the conference on 21-23 October 2019 in Shenyang China, on behalf of the organizing committee of DSCI-2019.

     4. Following the successful events in 2017 and 2018 this is the 3rd event in the series of conferences exploring the data science and computational intelligence methods. It addresses the relevant scientific challenges on classification, prediction, clustering, statistics and optimization problems and their applications to both small and big data sets. A number of quality research papers has been attracted in DSCI-2019, focusing on strengthening the weaknesses in aspects of algorithms, experiments and systems and computational intelligence technology. This conference intends to provide a high-profile, leading-edge forum for researchers, engineers, and practitioners to present state-of-art advances and innovations in theoretical foundations, systems, infrastructure, tools, test-beds, and applications for the DSCI-2019, as well as to identify emerging research topics and define the future.

     5. The theme of DSCI this year consists four distinct tracks, including Data Science Theory, Algorithms and Architectures Track, Data Science Applications Track, Computational Intelligence for Big Data Processing Track and Data Mining and Applications Track. We would like to express our special appreciation to the Program Chairs, Prof. Carmen De Maio, Prof. Fei Hao and Prof. Neil Y. Yen, for their outstanding work and brilliant suggestion on organizing the technical program. We also would like to thank Publicity Chairs, Prof. Changqing Luo, Prof. Jin Wang, Prof. Pradip Sharma, Prof. Muhammad Atif Qureshi and Prof. Ammar Hawbani, for their great job in promoting this event broadly. We also would like to give our thanks to Keynote Speakers for offering insightful and enlightening talks.

     6. We know that the success of the conference depends ultimately on the many people who have helped and endorsed us, therefore we would like to give our thanks to all the members of the Organizing Committee and Program Committee members and External Reviewers for their efforts and support. Finally, we would like to thank all the authors of the conference in which we hope that you will enjoy this wonderful event in the beautiful city Shenyang, China.

     7. Carson Kai-Sang Leung, University of Manitoba, Canada

     8. DSCI 2019 Executive General Chairs

     9. Mohamed Medhat Gaber, Birmingham City University, UK

     10. Chunlong Fan, Shenyang Aerospace University, China

     11. DSCI 2019 General Chairs

  3. Carmen De Maio, Fei Hao, Neil Y. Yen: Message from the DSCI 2019 Program Chairs. IEEE IUCC-DSCI-SmartCNS 2019: xxv

• • 1. Message from the DSCI 2019 Program Chairs

    2. IUCC-DSCI-SmartCNS 2019

    3. The Program Committee of the 3rd IEEE International Conference on Data Science and Computational Intelligence (DCSI 2019) would like to welcome all participants attending the conference on 21-23 October 2019 in Shenyang, China.

    4. Researchers and practitioners from both academia and industry worldwide in the field of data science and computational intelligence are brought together in DSCI 2019 conference. We have arranged fruitful keynote speeches and technical presentations, where the technical presentations from both the academia and industry will cover various dimensions including data science theory, algorithms and architectures, data science applications, computational intelligence for Big Data processing and data mining and applications. With a record number of submissions this year, we reviewed all submissions carefully in a rigorous review process. According to the review results, 44 papers are selected for oral presentation at the conference, with an acceptance rate of 26%.

    5. In addition, we would like to express our gratitude to the General Chairs, Prof. Carson Kai-Sang Leung, from University of Manitoba, Canada, Prof. Mohamed Medhat Gaber, from Birmingham City University, UK and Prof. Chunlong Fan, from Shenyang Aerospace University, China, for their great support to make the final program. In particular, we would like to show our appreciation to all authors, and to the members of Program Committee and the reviewers for their contributions and inputs. Finally, we hope all the participants will enjoy the conference, make new friends, get new ideas and have a good time.

    6. Carmen De Maio, University of Salerno, Italy

    7. Fei Hao, Shaanxi Normal University, China

    8. Neil Y. Yen, University of Aizu, Japan

    9. DSCI 2019 Program Chairs

CSSA-.devClub-WICS LabTrek 2019

Like the past two years (2017 & 2018), Dr. Carson K. Leung and his team participated in the Third Annual LabTrek organized by the Computer Science Students' Association (CSSA), .devClub and Women in Computer Science (WICS) on Friday, October 25, 2019. He explained and highlighted his research to students, explain characteristics of potential candidates (e.g., required skills/knowledge of new students), and how students can get involved.

Handbook of Sc and Tech Indicators (2019)

W. Glänzel, H.F. Moed, U. Schmoch, M. Thelwall (eds.):

Editors' Introduction.

Springer Handbook of Science and Technology Indicators:

xiii.

Part E: Advancement of Methodology for Patent Analysis

A general challenges of patent analysis is the growing number of patent applications, so that it is increasingly difficult to identify all relevant documents referring to a specific topics. For this purpose, Carson K. Leung, Wookey Lee, and Justin Jongsu Song present an advanced text-based retrieval system and compare three difference retrieval algorithms. With their approach, patent documents that are relevant to keyword terms in a user query can be retrieved efficiently without returning many irrelevant patent documents.

Wolfgang Glänzel

Henk F. Moed

Ulrich Schmoch

Mike Thelwall

LabTrek 2019

On Saturday, September 14, 2019, Dr. Carson K. Leung represented Department of Computer Science, on the Third Annual LabTREK Research Open House event (LabTREK 2019)—co-organized by Science Student Association (SSA) and Faculty of Science at University of Manitoba—by hosting a few tours of his Database and Data Mining Lab to incoming Science students and offering insight into the opportunities in his field of computer science and his research area of data science/database/data mining. This helps students get a behind-the-scene look of an actual research lab, meet the scientists/students working in the lab, and gain insight into exciting undergraduate research opportunities and careers in the discipline.

INCoS 2019

Dr. Carson K. Leung serves as a Track Chair for the 11th International Conference on Intelligent Networking and Collaborative Systems (INCoS 2019) held September 05-07, 2019 in Oita (大分), Japan. He oversees the Data Mining, Machine Learning and Collective Intelligence track. Proceedings are published as part of the Advances in Intelligent Systems and Computing book series (AISC) by Springer.

IEEE/ACM ASONAM 2019

On Friday, August 30, 2019, Joseph DeGuia (a visiting PhD student) presented a refereed paper titled "DeepGx: deep learning using gene expression for cancer classification", which he co-authored with his host academic supervisor (Dr. Carson K. Leung) and his home academic supervisor (Dr. Madhavi Devaraj, who is a Distinguished Professor from Mapúa University, a Data Science Lead from Accenture, and an Associate Professor/Senior Data Scientist from Asian Institute of Management (AIM)) in IEEE/ACM ASONAM 2019 held in Vancouver, BC, Canada.

DEXA/DaWaK 2019

• 1. On Tuesday, August 27, 2019, Calvin S.H. Hoi presented a refereed paper titled "Urban analytics of big transportation data for supporting smart cities", which he co-authored with his academic supervisor (Dr. Carson K. Leung), his fellow lab members (Peter Braun and Joglas Souza), and their international collaborator (Prof. Alfredo Cuzzocrea from University of Trieste, Italy), in DEXA/DaWaK 2019 held in Linz, Austria. DaWaK is a high-quality conference for researchers, practitioners and developers in the field of big data analytics. The paper was published by Springer.

  2. On Tuesday, August 27, 2019, Calvin S.H. Hoi chaired a session with five presentations of refereed papers on Patterns in DEXA/DaWaK 2019 held in Linz, Austria.

BigDAS 2019

• 1. Dr. Carson K. Leung serves as a Program Chair for the Seventh International Conference on Big Data Applications and Services (BigDAS 2019). The conference was originally scheduled to be held July 22-25 and postponed to August 21-24, 2019, in Jeju Island (濟州), South Korea.

  2. SPEAKERS:

• 1. Carson Leung

  2. Professor, University of Manitoba, Canada

     1. Carson Leung is currently a Full Professor at the University of Manitoba, Canada. He obtained his BSc(Hons), MSc and PhD from the University of British Columbia, Canada. He has published more than 200 papers on the topics of databases, data mining, big data computing, social network analysis, as well as visual analytics--including papers in ACM Transactions on Database Systems (TODS), Social Network Analysis and Mining (SNAM), Future Generation Computer Systems (FGCS), Journal of Organizational Computing and Electronic Commerce (JOCEC), IEEE International Conference on Data Engineering (ICDE), IEEE International Conference on Data Mining (ICDM), and Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD). Over the past few years, he has served as (i) a General Chair of IEEE CBDCom 2016 and IEEE SmartData 2018, (ii) a Program Chair of IEEE HPCC 2016 and BigDAS 2017, (iii) an organizing committee member of ACM SIGMOD 2008, IEEE ICDM 2011, IEEE/ACM ASONAM 2014, IEEE BigComp 2017 and ACM CIKM, as well as (iv) a PC member of numerous international conferences including ACM KDD and ECML/PKDD. He is a Senior Member of both ACM and IEEE.

     2. Home

IEEE CBDCom 2019

Dr. Carson K. Leung serves on the Advisory Committee for the Fifth IEEE International Conference on Cloud and Big Data Computing (CBDCom 2019) held August 05-08, 2019 in Fukuoka (福岡), Japan. IEEE CBDCom 2019 is collocated with

• • 17th IEEE International Conference on Dependable, Autonomic and Secure Computing (DASC 2019);

  • 17th IEEE International Conference on Pervasive Intelligence and Computing (PICom 2019); and

  • Fourth IEEE Cyber Science and Technology Congress (CyberSciTech 2019).

IEEE SmartData 2019

• 1. Dr. Carson K. Leung serves on the Steering Committee for the Fifth IEEE International Conference on Smart Data (SmartData-2019) held July 14-17, 2019 in Atlanta, GA, USA. This is a part of the 2019 IEEE International Congress on Cybermatics, collocated with

     • 12th IEEE International Conference on Cyber, Physical and Social Computing (CPSCom 2019);

     • 15th IEEE International Conference on Green Computing and Communications (GreenCom 2019);

     • 12th IEEE International Conference on Internet of Things (iThings 2019); and

     • Fifth IEEE International Conference on Smart Data (SmartData 2019).

  2. Dr. Carson K. Leung serves as a Program Chair for a special session on Big Data Analytics and Its Services (BDAS 2019) in the Fifth IEEE International Conference on Smart Data (SmartData-2019) held July 14-17, 2019 in Atlanta, GA, USA.

  3. Rajshekhar Sunderraman, Guangchun Luo, Francisco Herrera: Message from the SmartData 2019 General Chairs. IEEE iThings-GreenCom-CPSCom-SmartData-Blockchain-Cybermatics 2019: lvii

• • 1. Message from the SmartData 2019 General Chairs

    2. Welcome to the Fifth IEEE International Conference on Smart Data (IEEE SmartData 2019), held July 14–17, 2019, in Atlanta, USA. It is held as a part of the 2019 IEEE Cybermatics Congress, together with 5 other conferences: the 2nd IEEE International Conference on Blockchain (Blockchain 2019); 12th IEEE International Conference on Cyber, Physical and Social Computing (CPSCom 2019); 12th IEEE International Conference on Internet of Things (iThings 2019); 15th IEEE International Conference on Green Computing and Communications (GreenCom 2019); 12th International Conference on Security, Privacy and Anonymity in Computation, Communication and Storage (SpaCCS 2019). IEEE SmartData 2019 is sponsored by IEEE, IEEE Computer Society, IEEE Systems, Man, and Cybernetics Society (SMC), IEEE SMC Technical Committee on Cybermatics, IEEE Technical Committee on Scalable Computing (TCSC), Georgia State University, USA, and St. Francis Xavier University, Canada.

    3. The IEEE SmartData 2019 is the fifth edition of IEEE International Conference on Smart Data. Smart Data provides a regular event of the world that is promoting community-wide discussion to identify the computational intelligence technologies and theories for harvesting Smart Data from Big Data. It covers many topics on Smart Data including data science and its foundations, smart data infrastructure and systems, smart data storage and management, smart data processing and analytics, and smart data applications.

    4. IEEE SmartData 2019 would not have been possible without the help and effort of many people and organizations. We would like to sincerely thank the Steering Committee Chairs, Prof. Laurence T. Yang (St. Francis Xavier University, Canada), Prof. Carson K. Leung (University of Manitoba, Canada), and Prof. Zhikui Chen (Dalian University of Technology, China) for their valuable advice and suggestions. We would like to express our appreciation to the General Chairs of 2019 IEEE Cybermatics Congress, Prof. Yi Pan (Georgia State University, USA), Prof. Stephen S. Yau (Arizona State University, USA), and Prof. Witold Pedrycz (University of Alberta, Canada) for their help and support in organizing the IEEE SmartData 2019 conference as part of the Cybermatics Congress. We would also like to give our special thanks to the Program Committee Chairs, Dr. Shadi Ibrahim (INRIA, France), Dr. Huazhong Liu (Huazhong University of Science and Technology, China), and Dr. Amelie Chi Zhou (Shenzhen University, China) for their excellent work and leadership to ensure the success of the conference. We also thank the special sessions chairs, Dr. Xia Xie (Huazhong University of Science and Technology, China), Dr. Li Guo (Beijing University of Posts and Telecommunications, China), Prof. Carson K. Leung (University of Manitoba, Canada), and Prof. Kwan-Hee Yoo (Chungbuk National University, South Korea), and the Program Committee Members for their dedication in the process of reviewing the papers and producing constructive comments to the authors. Thanks also go to: Publication Chair, Dr. Wei Li (Georgia State University, USA) and Web Chair Zihao Jiang (St. Francis Xavier University, Canada). Last but not least, we thank the IEEE Computer Society’s Conference Publishing Services team (especially, Lorretta Palagi and Randall Bilof) for their help in publishing the current proceedings.

    5. Rajshekhar Sunderraman, Georgia State University, USA

    6. Guangchun Luo, University of Electronic Science and Technology of China, China

    7. Francisco Herrera, University of Granada, Spain

    8. SmartData 2019 General Chairs

• 4. Shadi Ibrahim, Huazhong Liu, Amelie Chi Zhou: Message from the SmartData 2019 Program Chairs. IEEE iThings-GreenCom-CPSCom-SmartData-Blockchain-Cybermatics 2019: lviii

• • 1. Message from the SmartData 2019 Program Chairs

    2. On behalf of the Program Committee of the 5th IEEE International Conference on Smart Data (SmartData 2019), we would like to welcome you to the conference in Atlanta, USA. SmartData provides a high-profile, leading-edge forum for scientists, engineers and researchers to discuss and exchange novel ideas, results, experiences and work-in-process on all aspects of Smart Data.

    3. This year the conference received 28 submissions. All the submissions were reviewed on the basis of their significance, novelty, technical quality, presentation, and practical impact. After careful reviews by at least three experts in the relevant areas for each paper, 6 papers were selected for oral presentation at the conference and included in this IEEE proceedings, with an acceptance rate of 21.4%. The accepted papers in the final program cover a broad range of research topics, including smart data processing and analytics, smart data applications, deep leaning for smart data training and classifications, and data privacy.

    4. The SmartData 2019 program also included two special sessions: special session on Medical Big/Smart Data and Artificial Intelligence which is considered as a part of the main conference, and one independent special session on Big Data Analytics and Its Services (BDAS 2019). We would like to express our special appreciation to the special session chairs: Dr. Xia Xie (Huazhong University of Science and Technology, China), Dr. Li Guo (Beijing University of Posts and Telecommunications, China), Prof. Carson Leung (University of Manitoba, Canada) and Prof. Kwan-Hee Yoo (Chungbuk National University, South Korea).

    5. SmartData 2019 was made possible by the joint effort of numerous people worldwide. We are deeply grateful to all the PC members for their great efforts in reading, commenting, and finally selecting the papers. We also thank all the external reviewers for assisting the technical program committee in their particular areas of expertise.

    6. We would like to express our sincere appreciation to the Steering Committee Chairs, Prof. Laurence T. Yang (St. Francis Xavier University, Canada), Prof. Carson Leung (University of Manitoba, Canada) and Prof. Zhikui Chen (Dalian University of Technology, China); and the General Chairs, Prof. Rajshekhar Sunderraman (Georgia State University, USA), Prof. Guangchun Luo (University of Electronic Science and Technology of China, China), and Prof. Francisco Herrera (University of Granada, Spain) for their support and help. It was our pleasure working with them to ensure the success of the conference.

    7. We sincerely thank the authors of all submitted papers and all the conference attendees. We hope you will enjoy the technical program and wish you all a pleasant stay in Atlanta.

    8. Shadi Ibrahim, INRIA, France

    9. Huazhong Liu, Huazhong University of Science and Technology, China

    10. Amelie Chi Zhou, Shenzhen University, China

    11. SmartData 2019 Program Chairs

• 5. Laurence T. Yang, Carson K. Leung, Zhikui Chen: Message from the SmartData 2019 Steering Chairs. IEEE iThings-GreenCom-CPSCom-SmartData-Blockchain-Cybermatics 2019: lix

• • 1. Message from the SmartData 2019 Steering Chairs

    2. On behalf of the IEEE SmartData Steering Committee and IEEE SmartData 2019 Organizing Committee, we would like to express to all the participants our cordial welcome.

    3. Smart Data aims to filter out the noise and produce valuable data, which can be effectively used by enterprises and governments for planning, operation, monitoring, control, and intelligent decision making. Although unprecedentedly large amount of sensory data can be collected with the advancement of the Cyber-Physical-Social systems, the key is to explore how Big Data can become Smart Data and offer intelligence. Advanced Big Data modeling and analytics are indispensable for discovering the underlying structure from retrieved data and further acquiring Smart Data. The IEEE SmartData 2019 conference is the event in a series of successful International Conferences on Smart Data (SmartData), previously held as IEEE SmartData 2018 (Halifax, Canada, July 2018), IEEE SmartData 2017 (Exeter, UK, June 2017), IEEE SmartData 2016 (Chengdu, China, December 2016), and IEEE SmartData 2015 (New York, USA, August 2015).

    4. An international conference can be organized by supports and great voluntary efforts of many people and organizations and our main responsibility is to coordinate the various tasks carried out with other willing and talented volunteers. We would like to thank the General Chairs Prof. Rajshekhar Sunderraman (Georgia State University, USA), Prof. Guangchun Luo (University of Electronic Science and Technology of China, China), and Prof. Francisco Herrera (University of Granada, Spain) for very successful organization of IEEE SmartData 2019. We would also like to express our special thanks to the Program Chairs Dr. Shadi Ibrahim (Inria, France), Dr. Huazhong Liu (Huazhong University of Science and Technology, China), and Dr. Amelie Chi Zhou (Shenzhen University, China) for making excellent technical program. We would like to give a special thanks to the special session chairs and PC members for their great efforts in selecting the papers to be presented in the conference. We also express our appreciation for the excellent local team for the prefect local arrangements and the detailed registration work, as well as for their help on the EDAS submission system and the registration system.

    5. Finally, we also would like to take opportunity to thank all the members of the organizing committee, technical program committee, authors who submitted papers, as well as reviewers who reviewed the submissions.

    6. Laurence T. Yang, St. Francis Xavier University, Canada

    7. Carson K. Leung, University of Manitoba, Canada

    8. Zhikui Chen, Dalian University of Technology, China

    9. SmartData 2019 Steering Committee

• 6. Xia Xie, Li Guo, Carson K. Leung, Kwan-Hee Yoo: Message from the BDAS 2019 Special Session Chairs. IEEE iThings-GreenCom-CPSCom-SmartData-Blockchain-Cybermatics 2019: lx

• • 1. Message from the BDAS 2019 Special Session Chairs

    2. Welcome to the special session on Big Data Analytics and Its Services (BDAS 2019). BDAS 2019 is held in conjunction with the Fifth IEEE International Conference on Smart Data (IEEE SmartData 2019), Atlanta, USA, July 14–17, 2019. The special session comprises a total of 5 papers that cover a wide range of hot research topics addressing issues at the frontiers of smart data research.

    3. Big data analytics examine big/smart data and discover useful information (e.g., hidden patterns, unknown correlations, market insights, customer preferences) for making actionable decisions in business and other services (e.g., healthcare, manufacturing, social services). The purpose of the Special Session on big data analytics and its services is to provide a platform for researchers to present their innovative ideas, novel solutions, and fruitful results on big data analytics and its services in various real-life applications in industry and government. It also aims to encourage academic and industrial interaction, to promote collaborative research in the field of big data analytics, and to accelerate the development of practical solutions for big data services.

    4. The special session was selected by considering quality of the proposal and adequacy to the scope of IEEE SmartData 2019. We sincerely appreciate the hard work of the program committee members for the selection of papers. We also wish to acknowledge the support and guidance from our links with the conference organization—specially the Steering Chairs Prof. Laurence T. Yang (St. Francis Xavier University, Canada), Prof. Carson K. Leung (University of Manitoba, Canada), and Prof. Zhikui Chen (Dalian University of Technology, China), as well as the General Chairs Prof. Rajshekhar Sunderraman (Georgia State University, USA), Prof. Guangchun Luo (University of Electronic Science and Technology of China, China), and Prof. Francisco Herrera (University of Granada, Spain). It has been a pleasure to work with them.

    5. Finally, we hope that you find the special session interesting and stimulating. Also enjoy IEEE SmartData 2019 and the nice city of Atlanta, USA.

    6. Xia Xie, Huazhong University of Science and Technology, China

    7. Li Guo, Beijing University of Posts and Telecommunications, China

    8. Carson K. Leung, University of Manitoba, Canada

    9. Kwan-Hee Yoo, Chungbuk National University, South Korea

    10. SmartData 2019 Special Session Chairs

FQAS 2019

Dr. Carson K. Leung serves as a Tutorial Chair for the 13th International Conference on Flexible Query Answering Systems (FQAS 2019) held July 02-05, 2019 in Amantea, Italy. Proceedings are published as part of LNCS (LNAI) by Springer.

2018/19 Science Award for Excellence in TA

Each year, teaching assistants (TAs) in the Faculty of Science are recognized for the excellence of their work. This year, Bryan Wodi is selected a winner of 2018/19 Faculty of Science Award for Excellence in Teaching Assistance in recognition of his efforts and work as a TA. In 2018/19, he TA'ed the Fall 2018 offering of COMP 3380 and the Winter 2019 offering of COMP 4380 both taught by Dr. Carson Leung. Previous winners and nominees include Fan Jiang (two-time winner in 2014/15 for COMP 3380 and 2015/16 for COMP 4710), Richard MacKinnon (winner in 2014/15 for COMP 3380), Adam Pazdor (nominee in 2015/16 for COMP 4710), Bryan Wodi (nominee in 2017/18 for COMP 3380) and Ye Yuan (winner in 2017/18 for COMP 3380).

ESWA 125 (July 2019)

Junqiang Liu, Zhongmin Chang, Carson K.S. Leung, Raymond C.W. Wong, Yabo Xu, Rong Zhao:

Efficient mining of extraordinary patterns by pruning and predicting.

Expert Systems with Applications (ESWA) 125:

55-68 (July 2019)

Highlights

• • Extraordinary patterns are those with supports and utilities in opposite extremes

  • Estimating tight lower bounds both on supports and utilities are possible

  • Both upper bounds and lower bounds based pruning are effective

  • Pattern growth with pruning and predicting improve efficiency 2 orders of magnitude

IEEE

Carson K. Leung

Also published under: Carson Kai-Sang Leung, C. Kai-Sang Leung, Carson Kai-sang Leung, C. K. -S Leung, Carson K. -S Leung, Carson Leung

Affiliation

University of Manitoba, Canada

Publication Topics

Big Data, data mining, data analysis, learning (artificial intelligence), music, recommender systems, social networking (online), cloud computing, data privacy, data visualisation, financial data processing, fuzzy logic, pattern classification, stock markets, Internet, Kalman filters, LED lamps, Web services, business data processing, cognition, competitive intelligence, computer games, data compression, decision trees, driver circuits

Biography

Carson K. Leung (M'03–SM'17) received the B.Sc.(Hons), M.Sc., and Ph.D. degrees, all in computer science, from the University of British Columbia, Vancouver, BC, Canada, in 1995, 1997, and 2002, respectively.,He is currently a Professor with the University of Manitoba, Winnipeg, MB, Canada. His research interests include computer applications, computer science, data processing, information technology, and knowledge engineering. He has contributed to more than 230 refereed publications—in the form of edited books, book chapters, journal articles, conference papers, and encyclopedia entries—on the topics of smart city, smart data, data science, big data management, databases, information retrieval, data mining, data analytics, machine learning, business intelligence, and visual analytics. Sample publications include articles in journals like ACM Transactions on Database Systems (TODS), IEEE Transactions on Industrial Electronics (TIE); as well as papers in conferences like IEEE International Conference on Data Engineering (ICDE), IEEE International Conference on Data Mining (ICDM). Dr. Leung has, in addition, served on the Steering Committee of the IEEE International Conference on Smart Data and the Advisory Committee of the IEEE International Conference on Cloud and Big Data Computing (CBDCom). He has also served on Organizing Committees for many conferences (e.g., ACM SIGMOD, IEEE ICDM, IEEE/ACM DSAA, IEEE/ACM ASONAM, ACM CIKM)—which include the role as a General Chair for IEEE DSCI (on data science and computational intelligence), as well as a Program Chair for IEEE BigDataSE (on big data science and engineering), IEEE HPCC (on high performance computing and communications), and IEEE iThings (on Internet of Things). He has served on Program Committees for conferences like PAKDD, ECML/PKDD, and Editorial Boards for journals like Web Intelligence. He is currently a Senior Member of the Association for Computing Machinery (ACM). Moreover, he won two Best Paper Awards (at SCA 2012 and IEEE/ACM ASONAM-FAB 2016 conferences). (Based on document published on 24 June 2019).

USRA 2019

Several lab members won undergraduate student research awards:

• • Each of the following students won a Faculty of Science Undergraduate Student Research Award (USRA) to conduct a full-time 16-week research project in the area of data mining under the academic supervision of Dr. Carson K. Leung:

    • • Second-year second-degree undergraduate student Mr. Marshall Duncan Jackson, who (i) obtained his B.Sc.(M.E.) & M.Sc. degrees both in Mechanical Engineering and (ii) is currently enrolled in B.C.Sc.(Hons.) program in CS; and

      • Third-year undergraduate student Ms. Qingyuan Li, who is enrolled in B.Sc.(Maj.) program.

  • Their fellow student, Mr. Joshua David Hamilton (third-year B.Sc.(Hons.) student in CS-Stat) was also selected as a winner for this award.

  • Third year undergraduate student Ovietobore Daniel (Toby) Oghre, who is enrolled in B.Sc.(Maj.) co-op program, won an UofM Vice-President (Research and International) Undergraduate Research Award (URA) to conduct a full-time 16-week research project in the area of data mining under the academic supervision of Dr. Carson K. Leung. Among ~25,000 undergraduate students across the campus, he was one of 179 UM VP(RI)/UMSU URA winners. His fellow student, Ms. Sue Yi Lee, who (i) obtained her B.Sc.(Maj.) co-op degree in Biological Sciences (Integrative Biology) and (ii) is currently enrolled in B.Sc.(Maj.) program in CS, was also selected as a winner for this award.

  • Fourth-year undergraduate student Justin Ming Chak Choi, who is enrolled in the B.Sc.(Hons.) co-op program, won an NSERC Undergraduate Student Research Award (USRA) to conduct a full-time 16-week research project on "The information contained in the duration of prices" in the area of agricultural data mining under the academic supervision of Dr. Carson K. Leung and Dr. Julieta Frank.

  • Third-year undergraduate student, Ms. Xiaoke Zhang (张晓珂) majoring in Information management and Information System from School of Information Management in Nanjing University (南京大学), China, won a MITACS Globalink Internship award to conduct a full-time 12-week research project on "Big data science and data analytics for useful information" in the area of data science (big data mining) under the academic supervision of Dr. Carson K. Leung. She is one of the 33 Globalink interns hosted at UofM.

BIDMA 2019

On Friday, April 26, 2019, Calvin S.H. Hoi presented a refereed paper titled "Exploration of big open data for predicting bus delay in smart city applications", which he co-authored with his academic supervisor (Dr. Carson K. Leung) and his fellow lab members (Nibrasul I. Ohin, Nadège Pulgar-Vidal, Keaton MacLeod, and Abdul-Rasheed Audu) in BIDMA 2019 held in Calgary, AB, Canada.

Information Sciences 479 (April 2019)

Md Mahmudur Rahman, Chowdhury Farhan Ahmed, Carson Kai-Sang Leung:

Mining weighted frequent sequences in uncertain databases.

Information Sciences 479:

76-100 (April 2019)

Highlights

• • Designing a new framework to deal with weighted sequences in uncertain databases.

  • An efficient algorithm for mining weighted frequent sequences in uncertain databases has been developed.

  • A measure expSupport^top has been devised to prune the database in the mining process.

  • A metric maxPr has been proposed to determine the upper bound of expSupport of an itemset.

  • The efficiency of the proposed method has been shown and analyzed on different real-life datasets available in data mining repositories.

AMT (2019)

About the contributors. Advanced Methodologies and Technologies in Network Architecture, Mobile Computing, and Data Analytics (Vol. II): liv (2019)

Carson K. Leung received his B.Sc. (Hons.), M.Sc., and Ph.D. degrees all from the University of British Columbia, Vancouver, Canada. He is currently a Professor at the University of Manitoba, Canada. He has contributed more than 160 refereed publications on the topics of big data analytics, databases, data mining, information science and technology, social network analysis, as well as visual analytics—including papers in ACM Transactions on Database Systems (TODS), Future Generation Computer Systems (FGCS), Journal of Organizational Computing and Electronic Commerce, Social Network Analysis and Mining, World Wide Web Journal (WWW), IEEE International Conference on Data Engineering (ICDE), IEEE International Conference on Data Mining (ICDM), the SCA 2012 Best Paper on social computing and its applications, the IEEE/ACM ASONAM-FAB 2016 Best Paper on foundations and applications of big data analytics, as well as five book chapters and encyclopedia entries for IGI Global. In recent years, he has served as a General Chair for IEEE CBDCom 2016, a Program Chair for IEEE BigDataSE 2016 & IEEE HPCC 2016, the Finance Chair for IEEE DSAA 2016, as well as a Web Chair for IEEE BigComp 2017.

ACPMB Newsletter 2019

Introducing ACPMB members: featured 3-Slides presentations.

ACPMB Newsletter 2019:

8

Dr. Carson.Leung@UManitoba.ca

My research

• • Areas of expertise:

    • • Big data; Data science

      • Databases; Data management

      • Data mining; Knowledge discovery from databases (KDD); Business intelligence (BI); Social network analysis; Data analytics; Visual analytics; Recommendation systems

  • General direction:

    • • Management and analysis of (big) data (e.g., social networks, web)

  • Examples of the past and current projects:

    • • Management & analysis of agribusiness, bioinformatics, health informatics, meteorological & transportation data

      • Mining of popular or frequently occurring patterns

      • Design & development of data science solutions for detecting anomalies

      • Data analytics & visual analytics of big data in social networks, games & sports

Potential collaboration

• • In the current era of big data, high volumes of a wide variety of valuable data, which may be of different veracity (e.g., precise vs. imprecise/uncertain data), can be easily collected/generated at a high velocity

  • Our Database & Data Mining Lab can provide big data science solutions to handle, manage, process, mine, analyze & visualize big data for various real-life applications in different disciplines

  • Web: http://dblab.cs.umanitoba.ca

More info: https://www.cs.umanitoba.ca/~kleung/

Big Data Applications and Services 2017 (2019)

• 1. Advances in Intelligent Systems and Computing 770

     1. Wookey Lee • Carson K. Leung Editors

     2. Big Data Applications and Services 2017

     3. The 4th International Conference on Big Data Applications and Services

     4. About the authors

     5. Carson K. Leung received his B.Sc.(Hons.), M.Sc., and Ph.D. from The University of British Columbia, Vancouver, Canada. He is currently a Professor at the University of Manitoba, Canada. He is also a Senior Member of the ACM and the IEEE. He has published more than 190 papers on the topics of his research interests, which include big data mining and analysis (including data analytics, data science & business intelligence solutions), databases, data management, data warehousing, data visualization and visual analytics, health and bioinformatics, Web technology and services, as well as social computing and social network analysis. He has also served as a PC member and an Organizing Committee member of many conferences such as ACM CIKM, ACM SIGMOD, IIEEE/ACM ASONAM, EEE DSAA, and IEEE ICDM.

  2. Wookey Lee, Carson K. Leung: Preface. Big Data Applications and Services 2017: vii-ix

• • 1. Preface

    2. The International Conference on Big Data Applications and Services (BigDAS) aims to address the need of the academic community and industry about Big Data. It encourages academic and industrial interaction and promotes collaborative research in Big Data applications and services by bringing together academics, government, and industry professionals to discuss recent progress and challenges in Big Data applications and services. Moreover, BigDAS also serves as a platform for theoreticians and practitioners to exchange their original research ideas on academic or industrial aspects of Big Data applications and services, present their new findings or innovative results on theoretical or practical aspects of Big Data, share their experiences on integrating new technologies into products and applications, discuss their work on performing Big Data applications and services in real-life situations, describe their development and operations of challenging Big Data related systems, and identify unsolved challenges.

    3. Since the First International Conference on Big Data Applications and Services (1st BigDAS 2015), three BigDAS conferences have been held in the following venues:

       • 1st BigDAS 2015: Seogwipo KAL Hotel, Jeju Island, South Korea, on October 20-23, 2015;

       • 2nd BigDAS 2016: Korea Software HRD Center, Phnom Penh, Cambodia, on January 22-27, 2016; and

       • 3rd BigDAS-L 2016: Landmark Mekong Riverside Hotel, Vientiane, Laos, on December 20-23, 2016.

• 3. With their success, the Fourth International Conference on Big Data Applications and Services (4th BigDAS 2017) is held in the following venues:

     2. • 4th BigDAS 2017: National University of Uzbekistan, Tashkent, Uzbekistan, on August 15-18, 2017.

  4. The BigDAS 2017 was held in Tashkent, Uzbekistan (which is located in the center of Great Silk Road). The conference was hosted by (i) The Korea Big Data Service Society and (ii) National University of Uzbekistan. It was organized by (i) Bigdata Research Institute, Chungbuk National University; (ii) New Industrial Convergence R&D Center, Ajou University; (iii) Inha University in Tashkent; and (iv) Korea China Yeouido Leaders Forum. It was sponsored by (i) Electronics and Telecommunications Research Institute (ETRI); (ii) UNISEM Co., Ltd.; and (iii) WIZCORE, Inc. The program consists of the following events:

     2. • Four keynote speeches on big data in industry and government:

          • • "The Fourth Industrial Revolution and New Industry Development Directions" by Marn-ki Jeong (ex-First Vice Minister of the Ministry of Trade, Industry and Energy, South Korea)

            • "Prediction Markets a Computational Mechanism for Aggregating Information" by Sarvar Abdullaev (Inha University in Tashkent, Uzbekistan)

            • "Big Data Approach and Challenges in Government" by Myoung Hee Kim (President of National Computing and Information Service (NCIS), Ministry of Interior, South Korea)

            • "Initiation of an Innovation Ecosystem: Uzbekistan's Road Towards Building Silicon Valley" by Bokhodir Ayupov (Ministry of Information Technologies and Communications, Uzbekistan)

        • eight technical sessions with 54 regular and short paper presentations on the following topics: (i) Big Data models and algorithms, (ii) Big Data architectures, (iii) Big Data applications, (iv) Big Data mining and analysis, (v) Big Data security, (vi) Big Data visualization, (vii) social network analysis, and (viii) Internet of things (IoT) and health care;

        • three poster sessions with eight poster paper presentations on the following topics: (i) Big Data applications, (ii) Big Data in industry, and (iii) Big Data in business; and

        • two workshops: (i) E-government and Big Data, and (ii) Big Data composition.

  5. For BigDAS 2017, we have recruited many international experts in Big Data applications and services to join our team of international committee. As a result, our Committee consists of professionals from different parts of the world such as Bangladesh, Canada, China, Japan, South Korea, and Uzbekistan. This committee has done an excellent job in organizing the conference and selecting a collection of 54 high-quality regular and short papers, as well as 8 poster papers. Among these papers, a small number of them were selected and revised to be included in the current volume.

• • 1. BigDAS 2017 would not have been possible without the help and effort of many people and organizations. We thank BigDAS 2017 Organizing Committee members, especially Honorary Co-chairs (S. H. Han and N. Yusupbekov), General Co-chairs (J.-Y. Lee and A. R. Marakhimov), and Organizing Co-chairs (K.-H. Yoo, W.-S. Cho, and Y.-S. Kim) for their valuable advice and suggestions toward the conference. We are grateful to other members for their professionalism and dedication in different aspects of this conference, including the selection of papers presented at the conference and the further selection of papers published in the current volume. We also express our thanks to authors and non-author participants of this conference. We also thank A. Nasridinov for local arrangement. Last but not least, we thank the staff at Springer for their help in publishing the current volume.

Pazdor's Teaching

Adam G. Pazdor, a graduate student in our lab, teaches

• • COMP 1012 A01 (Computer Programming for Scientists and Engineers) in Winter 2019 on every Tuesday and Thursday at 2:30pm-3:45pm in Armes 204 from January 08 to April 09, 2019.

  • COMP 3380 A02 (Databases: Concepts and Usage) in Fall 2019 on every Tuesday and Thursday at 8:30am-9:45am in E3-270 EITC from September 05 to December 05, 2019.

By the end of Fall 2019, Pazdor has taught a total of 11 sections of four distinct courses at all four undergraduate year-levels (COMP 1012 six times in Summer 2016, Winter/Summer/Fall 2017, Fall 2018 & Winter 2019; COMP 2130 in Summer 2018; COMP 3380 in Fall 2016/2017/2019; and COMP 4380 in Winter 2018).