News (2018)

News (2018)

Bipin Desai's Visit

Dr. Bipin C. Desai (a Full Professor from Concordia University, Canada), who is also the Steering Committee chairs for both IDEAS and C3S2E conferences, visited on December 10, 2018.

EDBS (2018)

    • List of Topics. Encyclopedia of Database Systems, Second Edition: xxi (2018) ISBN 978-1-4614-8265-9

    • Association Rule Mining

      • Section Editor: Jian Pei

      • Anti-monotone Constraints

      • Convertible Constraints

      • Frequent Itemset Mining with Constraints

      • Monotone Constraints

      • Succinct Constraints

    • List of Contributors.Encyclopedia of Database Systems, Second Edition: lxxxvii (2018) ISBN 978-1-4614-8265-9

      • Carson Kai-Sang Leung Department of Computer Science, University of Manitoba, Winnipeg, MB, Canada

    • Carson Kai-Sang Leung: Anti-monotone constraints. Encyclopedia of Database Systems, Second Edition: 121 (2018) ISBN 978-1-4614-8265-9

    • Carson Kai-Sang Leung: Convertible constraints. Encyclopedia of Database Systems, Second Edition: 632-633 (2018) ISBN 978-1-4614-8265-9

    • Carson Kai-Sang Leung: Frequent itemset mining with constraints. Encyclopedia of Database Systems, Second Edition: 1531-1536 (2018) ISBN 978-1-4614-8265-9

    • Carson Kai-Sang Leung: Monotone constraints. Encyclopedia of Database Systems, Second Edition: 2299 (2018) ISBN 978-1-4614-8265-9

    • Carson Kai-Sang Leung: Succinct constraints. Encyclopedia of Database Systems, Second Edition: 3838-3839 (2018) ISBN 978-1-4614-8265-9

.devClub Lab Tour 2018

Like last year (2017), Dr. Carson K. Leung and his team participated in the Second Annual Lab Tour organized by the .devClub on Tuesday, November 20, 2018. He highlighted the type of work the lab does and what undergraduate students could work on if they are interested in getting involved. Undergrad researchers (Sehaj P. Singh and Bryan H. Wood) presented some of their research work and talked about their experience, whereas Dr. Leung talked about characteristics of potential candidates.

ACM CIKM 2018

Dr. Carson K. Leung serves as a Publicity Chair for the 27th ACM International Conference on Information and Knowledge Management (CIKM 2018) held October 22-26, 2018 in Turin, Italy.

MDPI Sci

Dr. Carson K. Leung serves as an Editorial Board Member and an Advisory Board Member for Sci.

Prof. Carson K. Leung

Department of Computer Science, University of Manitoba, Winnipeg, MB, R3T 2N2, Canada

Tel. +1(204)474-8677

Website | E-Mail

Interests: data mining and analysis, big data, databases, data management, data warehousing data visualization and visual analytics, health informatics and electronic health, Web technology and services, social computing & social network analysis

Special Issues and Collections in MDPI journals:

Special Issue in Sensors: Selected papers from Smart Data 2018 & Big Data Service 2018

Teaching Awards Gala 2018

    1. Dr. Carson K. Leung was invited by Dr. David T. Barnard (President & Vice-Chancellor) to attend Teaching Awards Gala 2018, held Wednesday, October 03, 2018, in honour of his teaching award. He is one of the eight Teaching Awards recipients in 2018, and the only one from Computer Science.

    2. Teaching Awards Reception

      1. Teaching Award Winners

      2. 2017-2018

      3. Faculty of Science

      4. Dr. Carson Leung, Merit Award for Combination of Teaching, Service, and/or Research, Scholarly Work and Other Creative Activities Category

CSearch 2018

On Saturday, September 29, 2018, Justine Bernshine presented an extension of her COMP 4710 (Fall 2016) project—which was done in collaboration with her classmates (Zhipeng Liu, Shivani Tyagi and Zhiyue Zhang)—on "Gender prediction: text classification analysis using naive Bayes approach" in Computing Student Research Conference (CSearch 2018) held in Queen's University, Kingston, ON, Canada.

Oluwafemi Sarumi's Visit

The Association of Commonwealth Universities (ACU) Fellowships are awarded to staff of member institutions (e.g., Federal University of Technology Akure, Nigeria, Africa) to enable them to travel overseas for short periods of research, collaboration and training. Dr Oluwafemi Sarumi's visit (September-December 2018) to the University of Manitoba as part of the University of Manitoba Fellowship will focus on big data for genomics. Dr Sarumi is from The Federal University of Technology, Akure, Nigeria.

LabTrek 2018

On Saturday, September 08, 2018, Dr. Carson K. Leung shared his research and inspired the next group of science students in the Second Annual LabTREK Research Open House event co-organized by Science Student Association (SSA) and Faculty of Science at University of Manitoba. The event helps students to discover scientific breakthroughs of tomorrow and explore undergraduate student research opportunities.

Sarumi's Visit

The Association of Commonwealth Universities (ACU) Fellowships are awarded to staff of member institutions, to enable them to travel overseas for short periods of research, collaboration and training. Dr. Oluwafemi Sarumi’s visit (during September-December 2018) to the University of Manitoba as part of the University of Manitoba Fellowship will focus on big data for genomics. Dr Sarumi is from The Federal University of Technology, Akure, Nigeria.

INCoS 2018

Dr. Carson K. Leung serves as a Track Chair for the 10th International Conference on Intelligent Networking and Collaborative Systems (INCoS 2018) held September 05-08, 2018 in Bratislava, Slovakia. He oversees the Data Mining, Machine Learning and Collective Intelligence track. Proceedings are published as part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT) by Springer.

KES 2018

On Thursday, September 04, 2018, Joglas Souza presented a refereed paper titled "Item-centric mining of frequent patterns from big uncertain data", which he co-authored with his academic supervisor (Dr. Carson K. Leung), his fellow lab members (Peter Braun and Adam G.M. Pazdor), and their international collaborator (Prof. Alfredo Cuzzocrea from University of Trieste, Italy), in KES 2018 held in Belgrade, Serbia. The paper was published by Elsevier.

DEXA/DaWaK 2018

On Monday, September 03, 2018, Adam G. M. Pazdor presented a refereed paper titled "Effective classification of ground transportation modes for urban data mining in smart cities", which he co-authored with his academic supervisor (Dr. Carson K. Leung) and his fellow lab member (Peter Braun), in DEXA/DaWaK 2018 held in Regensburg, Germany. DaWaK is a high-quality conference for researchers, practitioners and developers in the field of big data analytics. The paper was published by Springer.

IEEE/ACM ASONAM 2018

On Friday, August 31, 2018, Adam G. M. Pazdor presented a refereed paper titled "Mining 'following' patterns from big but sparsely distributed social network data", which he co-authored with his academic supervisor (Dr. Carson K. Leung) and his fellow lab members (Ryan Middleton and Yeyoung Won), in IEEE/ACM ASONAM 2018 held in Barcelona, Spain. The paper was published by IEEE.

2017/18 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,

    • Ye Yuan is selected as one of the three winners (and the sole winner for 3000-level) of, and

    • Bryan Wodi is nominated for,

the 2017/18 Faculty of Science Award for Excellence in Teaching Assistance in recognition of their efforts and work as TAs in the Fall 2017 offering of COMP 3380 taught by Dr. Carson Leung. Among all 25 nominees for this award, Wodi and Yuan are the only two from Computer Science. 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), and Adam Pazdor (nominee in 2015/16 for COMP 4710).

BigDAS 2018

    1. Dr. Carson K. Leung serves as a Program Chair for the Sixth International Conference on Big Data Applications and Services (BigDAS 2018) held August 19-22, 2018 in Zhengzhou (郑州), Henan (河南省), China.

    2. Wookey Lee, Carson K. Leung, Aziz Nasridinov:

    3. Preface

    4. Big Data Analyses, Services, and Smart Data:

    5. v-viii

      1. Preface

      2. Nowadays, large volumes of valuable data, which may be of different levels of veracity, can be easily generated and collected at a high velocity from a wide variety of data sources in various real-life applications and services. These big data have become a core technology to provide innovative solutions in many fields such as health care, manufacturing, and social life. Moreover, big data, big data analyses, big data applications, big data services, smart computing, and smart data have become emerging research fields that have recently drawn much attention from computer science and information technology as well as from social sciences and other disciplines.

      3. The current volume focuses on big data analyses, services, and smart data. It consists of the following:

        • Invited papers;

        • Selected papers from the Sixth International Conference on Big Data Applications and Services (BigDAS 2018); and

        • Extended papers from the Sixth IEEE International Conference on Big Data and Smart Computing (IEEE BigComp 2019).

      4. 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.

      5. The BigDAS 2018 was the sixth edition of the conference held on August 19– 22, 2018, in Zhengzhou, China, with successful previous events listed below:

        • BigDAS 2015—held in conjunction with the 2015 International Conference on Digital Information Management (ICDIM 2015)—on October 20–23, 2015, in Jeju Island, South Korea;

        • BigDAS 2016 on January 22–27, 2016, in Phnom Penh, Cambodia;

        • BigDAS-L 2016 on December 20–23, 2016, in Vientiane, Laos;

        • BigDAS 2017 on August 15–18, 2017, in Tashkent, Uzbekistan; and

        • 5th BigDAS—held as part of the Asia Data Week (ADW) 2017—on November 23–25, 2017, in Jeju Island, South Korea.

      6. BigDAS 2018 was hosted by Korea Big Data Service Society, which organized the conference together with Korea China Yeouido Leaders Forum and TusStar. General Chairs (Joo-Yeoun Lee, Hye-Kyung Kim, Shou-zhi Yu, Zhang Xu, & Wenxue Zhu) and Program Chairs (Wookey Lee, Carson K. Leung, Yan Bo Hui, & Hae-Jung Kim) of BigDAS 2018 invited authors to submit original research papers on big data applications and services, with focuses on various topics such as big data analytics, big data applications, big data frameworks, big data in business, big data in health care, big data in industry, big data models, big data security, and big data visualization. At the end, BigDAS 2018 attracted many submissions, from which the Program Committee selected 48 conference papers and 39 posters. Out of these papers, a few high-quality papers were selected to be included in the current volume.

      7. For BigDAS 2018, the General Chairs and Program Chairs, together with the Organizing Committee—including Organizing Chairs (Kwan-Hee Yoo, Wan-Sup Cho, Yoo-Sung Kim, Che Zhong Rui, & Man-Ki Chung), Publicity Chairs (Sang-Hyun Choi, Seon-Phill Jeong, & Mun Gul), Industry Chairs (Tae-Sung Kim, Soo-young Chae, Sang-Hyun Lee, Qianjin Lai, & Man-Kyo Seo), Industry Liaison Chairs (Duck-Keun Park, Jung-Tae Kang, & Jong-Sul Chae), Demo/Poster Chairs (Su-Young Chi, Nak-hoon Baek, Jo Hyeon, & Tan Wei), Registration Chairs (Young-Ho Park, Yong-Ik Yoon Lie, & Chang Lin), Tutorial Chairs (Jin-Ho Kim & Supratip Ghose), Web Chairs (Young-Koo Lee & Jin-young Choi), Local Arrangement Chairs (Aziz Nasridinov & Yong-Bong Kim), International Advisors (Jong-beom Lee, Tae-Kyung Kim, & Shen Jie Xia), Special Session Chairs (Eun-mi Choi, Takeshi Kurata, Jae-Il Park, Young-Kyum Kim, & Kyu-Tae Lee), and Sponsor Chairs (Sung-joon Yoo, Jong-Seok Myong, Myong-Suk Jung, Jung-Min Yun, Kwang-Soo Lee, Sang-Yeub Kim, Yun-Jae Lee, Dae-Young Kim, & Ho-Kun Chae)—produced a useful and inspiring conference program with the theme of “power to change the world, big data.” It consists of eight paper sessions and four poster sessions for the presentation of the 48 conference papers and 39 posters, as well as the following five keynotes:

        • "Towards ubiquitous big data analytics and management: research issues and challenges" by Hiroyuki Kitagawa;

        • "Programmable matter: forming objects with modular robots" by Julien Bourgeois;

        • "Data science for big data applications and services" by Carson K. Leung;

        • "Social network analysis in big data era" by Chaokun Wang; and

        • "Era utilizing explainable artificial intelligence for power and energy" by Ho-Jin Choi.

      8. The next (i.e., seventh) edition of the conference—BigDAS 2019—is scheduled to be held on August 21–24, 2019, in Jeju Island, South Korea. It will be organized and sponsored by Korea Big Data Service Society, Jeju National University— Software Convergence Education Center, and Chungbak National University (CBNU)—Big Data Research Institute. It will comprise three keynote speeches (by Carson K. Leung, Erel Rosenberg, and Yeong-il Seo), six technical and two poster sessions, as well as five colocated workshops.

      9. Like BigDAS, the International Conference on Big Data and Smart Computing (BigComp) also aims to provide an international forum for exchanging ideas and information on current studies, challenges, research results, system developments, and practical experiences in the emerging fields of computer science and information technology, as well as social sciences and other disciplines. The conference was initiated by the Korean Institute of Information Scientists and Engineers (KIISE).

      10. The IEEE BigComp 2019 was the sixth edition of the conference held on February 27–March 2, 2019, in Kyoto, Japan, with successful previous events listed below:

        • BigComp 2014 on January 15–17, 2014, in Bangkok, Thailand;

        • BigComp 2015 on February 09–12, 2015, in Jeju Island, South Korea;

        • BigComp 2016 on January 18–20, 2016, in Hong Kong, China;

        • IEEE BigComp 2017 on February 13–16, 2017, in Jeju Island, South Korea; and

        • IEEE BigComp 2018 on January 15–18, 2018, in Shanghai, China.

      11. IEEE BigComp 2019 was co-sponsored by the IEEE, IEEE Computer Society and KIISE, in cooperation with the Database Society of Japan (DBSJ). General Chairs (Masatoshi Yoshikawa & Jongwon Choe) and Program Chairs (Hiroyuki Kitagawa, Walid Saad, Kyuseok Shim, & Jie Tang) of BigComp 2019 invited authors to submit original research papers and original work-in-progress reports on big data and smart computing, with focuses on various topics such as big data & cloud systems, data mining, embedding & ontology, face recognition & speech, machine learning, mobility & location data, network & Internet of things (IoT), query processing, smart city, social media, spatial data & query, text & natural language, time series, traffic analysis, as well as visual data & virtual reality (VR). IEEE BigComp 2019 attracted 170 paper submissions, from which the Program Committee selected 39 regular papers and 34 short papers. These 73 conference papers, together with papers from seven workshops and abstracts of the two keynotes (by Zachary Ives & Raymond Ng), were published in an IEEE conference proceedings. Out of these papers, a few high-quality papers were invited for extension and expansion to be included in the current volume.

      12. The next edition of the conference—IEEE BigComp 2020—is scheduled to be held on February 19–22, 2020, in Busan, South Korea. It will comprise three keynote speeches (by Masaru Kitsuregawa, Jiawei Han, and Sung-Bae Cho), several technical sessions, tutorials, and workshops.

      13. As for the current volume, it would not have been possible without the help and effort of many people and organizations. We express our thanks to the Organizing Committee, Program Committee, hosts, and sponsors of BigDAS 2018 and IEEE BigComp 2019. We thank authors and non-author participants of both conferences. We are grateful to reviewers for their professionalism and dedication in different aspects, especially in the selection of papers presented in the current volume. Last but not least, we thank the staff at Springer (especially, Smith Chae, Eugene Hong, Annie Kang, Prashanth Ravichandran) for their help in publishing the current volume.

BigDAS 2018 Keynote Speech

    1. On Tuesday, August 21, 2018, Dr. Carson K. Leung gave a keynote speech on "Data Science for Big Data Applications and Services" in the Sixth International Conference on Big Data Applications and Services (BigDAS 2018) held August 19-22, 2018 in Zhengzhou (郑州), Henan (河南省), China.

    2. Keynote speaker

        1. July 2019 Wookey Lee

        2. Carson K. Leung

        3. Aziz Nasridinov

            1. Data Science for Big Data Applications and Services

            2. - Carson Leung

            3. - Professor, University of Manitoba, Canada

      1. Biography

      2. 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.

IEEE SmartData-2018

    1. Dr. Carson K. Leung serves as a General Chair for the Fourth IEEE International Conference on Smart Data (SmartData-2018) held July 30-August 03, 2018 in Halifax, NS, Canada. This is a part of the 2018 IEEE International Congress on Cybermatics, collocated with 2018 IEEE Conferences on Internet of Things (iThings), Green Computing and Communications (GreenCom), Cyber, Physical and Social Computing (CPSCom), Smart Data (SmartData), Blockchain, Computer and Information Technology (CIT).

    2. Carson K. Leung, Ladjel Bellatreche: Message from IEEE SmartData-2018 General Chairs. IEEE Cybermatics 2018: lvi

      1. Message from the IEEE SmartData-2018 General Chairs

      2. Welcome to the Fourth IEEE International Conference on Smart Data (IEEE SmartData-2018), which is held July 30-August 03, 2018, in Halifax, Nova Scotia, Canada. It is held as a part of the 2018 IEEE Cybermatics Congress, together with other five conferences: The 2018 IEEE International Conference on Blockchain (Blockchain-2018); The 18th IEEE International Conference on Computer and Information Technology (CIT-2018); The 11th IEEE International Conference on Cyber, Physical and Social Computing (CPSCom-2018); The 14th IEEE International Conference on Green Computing and Communications (GreenCom-2018); The 11th IEEE International Conference on Internet of Things (iThings-2018). On behalf of the Organizing Committee of the IEEE SmartData-2018, we would like to express to all of authors and participants our sincere and warm welcome in Halifax, Nova Scotia "Canada's Ocean Playground"!

      3. The IEEE SmartData-2018 conference is the fourth edition of the IEEE International Conference on Smart Data (SmartData). IEEE SmartData-2018 provides a forum for scientists, engineers and researchers in academia, industry and government to address the resulting profound challenges, and to discuss and present their novel ideas, research results, applications and experience on all aspects of smart data. Topics of interest include, but are not limited to the following: (i) smart data processing and analytics; (ii) data science and big data infrastructure for smart cities; and (iii) smart data applications. IEEE SmartData-2018 is sponsored by (i) IEEE, (ii) IEEE Computer Society, and (iii) IEEE Technical Committee on Scalable Computing (TCSC). This year, we have a rich program—which includes the main conference, a workshop on Graph Big DataBase (GDB 2018), and a special session on Data-driven Smart Cities (DASC 2018)—with presentation of 23 high-quality research papers submitted by authors from more than 10 countries (e.g., Canada, China, Finland, Italy, Japan, Norway, South Korea, Spain, USA).

      4. IEEE SmartData-2018 would not have been possible without the help and effort of many people and organizations. First of all, we would like to sincerely thank the Steering Chairs (Zhikui Chen and Laurence T. Yang) for their valuable advice and suggestions towards the conference. We would like to express our appreciation to the General Chairs of 2018 IEEE Cybermatics Congress (Jamal Deen, Ljiljana Trajkovic, and Jason Gu) for providing us an opportunity to organize the IEEE SmartData-2018 conference as a part of the Cybermatics Congress. We would also like to give our special thanks to the Program Chairs (Reda Alhajj, Jinjun Chen, Ching-Hsien Robert Hsu, and Yinglong Xia) for their excellent work and great efforts in organizing an outstanding Program Committee. We also thank Program Committee members for their professionalism and dedication in the process of judging the contributions of papers and producing constructive comments to the authors. We thank authors and non-author participants of this conference. In addition, we also express our thanks to other members of the IEEE SmartData-2018 Organizing Committee—including Workshop/Special Session Chair (Mukesh Mohania), Publicity Chairs (Wookey Lee, Junqiang Liu, Elio Masciari, and Kazutoshi Sumiya), Publication Chair (Min-Yuh Day), Local Organizing Chairs (Xianjun Deng, Peng Li, Minghua Wang, and Qingchen Zhang), and Web Chair (Zihao Jiang). Last but not least, we thank the IEEE Computer Society's Conference Publishing Services (CPS) team (especially, Patrick Kellenberger and Juan Guerrero) for their help in publishing the current proceedings.

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

      6. Ladjel Bellatreche, ISAE-ENSMA, France

      7. General Chairs of IEEE SmartData-2018

    3. Reda Alhajj, Jinjun Chen, Ching-Hsien Robert Hsu, Yinglong Xia: Message from IEEE SmartData-2018 Program Chairs. IEEE Cybermatics 2018: lvii

      1. Message from the IEEE SmartData-2018 Program Chairs

      2. It is our great pleasure to welcome you to the Fourth IEEE International Conference on Smart Data (IEEE SmartData-2018) in Halifax, NS, Canada, July 30-August 03, 2018. The IEEE SmartData-2018 conference—sponsored by the IEEE, the IEEE Computer Society, and the IEEE Technical Committee on Scalable Computing (TCSC)—is the fourth edition of the IEEE International Conference on Smart Data (SmartData). It provides a 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. Smart data aim to filter out the noise and produce the 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 (CPS) systems recently, the key is to explore how these big data can become smart data and offer intelligence. Advanced big data modeling, data science solutions, as well as data analytics and visual analytics, are indispensable for discovering the underlying structure from retrieved data in order to acquire smart data. IEEE SmartData-2018 aims to promote community-wide discussion identifying the computational intelligence technologies and theories for harvesting smart data from big data.

      4. For IEEE SmartData-2018, we have recruited many international experts to join our team of international technical program committee. As a result, our Program Committee consists of professionals and experts from different parts of the world including Australia, Canada, China, Finland, France, Germany, Hong Kong, New Zealand, Russia, UK, and USA. This committee has done an excellent job in completing the single-blind review process. The paper selection process was thorough and competitive. Each submission was refereed by at least three reviewers. Among these submissions, we accepted 12 high-quality submissions of 8-10 pages each as full research papers addressing technical issues, solutions, and technologies in smart data. To allow more researchers to express their opinions and vision on exploring new concepts and research directions, we also include 4 short papers (of 6-8 pages each) and 7 poster papers (of 4-6 pages each). We would like to extend our thanks to the program committee members and to additional external reviewers who contributed their valuable time and expertise to provide professional reviews and constructive feedback to authors.

      5. We are fortunate and delighted to work in coordination with the Steering Chairs Zhikui Chen (Dalian University of Technology, China) and Laurence T. Yang (St. Francis Xavier University, Canada), as well as the General Chairs Carson K. Leung (University of Manitoba, Canada) and Ladjel Bellatreche (ISAE-ENSMA, France), for a successful IEEE SmartData-2018 conference with a rich program. We sincerely appreciate their constant support and guidance. It was a great pleasure to work with such an excellent team. We would also like to express our gratitude to local team for managing the conference website and handling local arrangement.

      6. The IEEE SmartData-2018 conference is a highly stimulating event to foster interesting discussions, as well as useful interaction between researchers, and provides an excellent forum for exchanging and developing new ideas in the field of smart data.

      7. Reda Alhajj, University of Calgary, Canada

      8. Jinjun Chen, Swinburne University of Technology, Australia

      9. Ching-Hsien Robert Hsu, Chung Hua University, Taiwan

      10. Yinglong Xia, Huawei Research America, USA

      11. Program Chairs of IEEE SmartData-2018

      1. Message from the IEEE SmartData-2018 Steering Chairs

      2. Welcome to the Fourth IEEE International Conference on Smart Data (IEEE SmartData-2018). It is our great pleasure and honor to hold IEEE SmartData-2018 in Halifax, Canada, on July 30-August 03, 2018. On behalf of the IEEE SmartData Steering Committee and IEEE SmartData-2018 Organizing Committee, we would like to express to all the participants—especially our visitors from outside countries—our cordial welcome and high respect.

      3. Smart data aim to filter out the noise and produce the valuable data, which can be effectively used by enterprises and governments for various applications—including 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 (CPS) systems recently, 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 in order to acquire smart data. The IEEE SmartData-2018 conference is the event in a series of successful International Conferences on Smart Data (SmartData), previously held as 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 Carson K. Leung (University of Manitoba, Canada) and Ladjel Bellatreche (ISAE-ENSMA, France) for very successful organization of IEEE SmartData-2018. We would also like to express our special thanks to the Program Chairs Reda Alhajj (University of Calgary, Canada), Jinjun Chen (Swinburne University of Technology, Australia), Ching-Hsien Robert Hsu (Chung Hua University, Taiwan) and Yinglong Xia (Huawei Research America, USA) for making excellent technical program. We would greatly appreciate the Workshop/Special Session Chair Mukesh Mohania (IBM Australia, Australia) for selecting a workshop and a special session. We also thank all chairs and committee members of these IEEE SmartData-2018 workshop/special session. Moreover, 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. 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.

      5. Zhikui Chen, Dalian University of Technology, China

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

      7. Steering Chairs of IEEE SmartData-2018

      1. Message from IEEE SmartData-2018 Workshop/Special Session Chair

      2. Welcome to the Workshop and Special Session held in conjunction with the Fourth IEEE International Conference on Smart Data (IEEE SmartData-2018), Halifax, Canada, July 30-August 03, 2018. The IEEE SmartData-2018 conference is the fourth edition of the IEEE International Conference on Smart Data (SmartData). This year’s program includes the following workshop and special session:

        • Sixth Graph Big DataBase Workshop (GDB 2018), and

        • Special Session on Data-driven Smart Cities (DASC 2018).

    1. Together with the IEEE SmartData-2018 main conference, these workshop and special session comprise a total of 23 papers that cover a wide range of hot research topics addressing issues at the frontiers of smart data research.

      1. Recently, there are many researches in the field of smart data, and the size of data in internet are increasing rapidly. The purpose of the Workshop on Graph Big Database (GDB 2018) is to provide researchers an opportunity to introduce and share recent issues related to graph databases and smart data. Through this workshop, researchers and practitioners can exchange current issues, challenges, new technologies, practical experiences, and research of graph databases for novel smart data applications.

      2. In recent years, with the growing interest to Internet of Things (IoT), cities are getting equipped with information and communication technology (ICT) to improve their efficiency and quality of life of their inhabitants, and thus transforming themselves into smart cities. Data are the key ingredient and enabler for the vision and realization of smart cities. The purpose of the Special Session on Data-driven Smart Cities (DASC 2018) is to discuss the latest scientific results and practical use cases, to share the expertise on using data in a smart way to produce viable long-living solutions, and to identify the opportunities and challenges of novel best methods and practices on data-driven smart cities.

      3. These workshop and special session were selected by considering quality of the proposal and adequacy to the scope of IEEE SmartData-2018. We sincerely appreciate the hard work of the workshop/special session organizers in designing the call for papers, assembling the program committee, managing the peer-review process for the selection of papers, and planning the workshop program. Thanks are extended to the workshop program committees, external reviewers, session chairs, contributing authors and attendees. We also wish to acknowledge the support and guidance from our links with the conference organization—specially the Steering Chairs Zhikui Chen (Dalian University of Technology, China) and Laurence T. Yang (St. Francis Xavier University, Canada), as well as the General Chairs Carson K. Leung (University of Manitoba, Canada) and Ladjel Bellatreche (ISAE-ENSMA, France). It has been a pleasure to work with them.

      4. Finally, we hope that you find the workshop and special session interesting and stimulating. Also enjoy IEEE SmartData-2018 and the nice city of Halifax, Canada.

      5. Mukesh Mohania, IBM Research - Australia, Australia

      6. Workshop/Special Session Chair of IEEE SmartData-2018

IEEE COMPSAC 2018

On Friday, July 27, 2018, Calvin S.H. Hoi presented a refereed paper titled "An accurate model for hurricane trajectory prediction", which he co-authored with his academic supervisor (Dr. Carson K. Leung) and his fellow lab members (Taylor S. Cox and Caden R. Marofke), in IEEE COMPSAC 2018 held in Tokyo, Japan. IEEE COMPSAC is designated as the IEEE Computer Society Signature Conference on Computers, Software and Applications.

IEEE Services/ICCC 2018

On Thursday, July 05, 2018, Bryan H. Wodi presented a refereed paper titled "An innovative framework for supporting cognitive-based big data analytics for frequent pattern mining", which he co-authored with his academic supervisor (Dr. Carson K. Leung), his fellow lab members (Deyu Deng, Jialiang Yu, and Hao Zhang), and their international collaborator (Prof. Alfredo Cuzzocrea from University of Trieste, Italy), in IEEE Services 2018 held in San Francisco, CA, USA.

MPAS 2018 Presentation

University of Manitoba

Rady Faculty of Health Sciences

Max Rady College of Medicine

Master of Physician Assistant Studies

2018 Capstone Project Presentations

Wednesday, June 20, 2018

Theatre B · Basic Medical Sciences Building. · Bannatyne Campus

11:50 AM-12:10 PM - MONICA MAI

Mentor: Dr. Carson Leung

Look who's talking: the use of social media among the emerging PA profession

ESNAM (2018)

Merit Award 2017

    1. Dr. Carson Leung won a 2017 Merit Award in the Combination of Teaching, Service and Research, Scholarly Work and Other Creative Activities category.

    2. UM Today News

    3. 2017 Merit Awards announced

      1. MAY 29, 2018 — The recipients of the 2017 Merit Awards have been announced. Annual applications and nominations are invited for the previous calendar year and awarded by the Joint Committee.

      2. Faculty are recognized for outstanding teaching, service and research, scholarly work and creative activities in three categories: Social Sciences, Humanities and Fine Arts; Life Sciences, Natural Sciences and Engineering; and Promoting Indigenous Achievement.

        • The Merit Award is open to all University of Manitoba Faculty Associate (UMFA) members.

        • Under the provisions of Article 25 of the Collective Agreement, applications and nominations are invited for the previous calendar year.

        • Awards are divided into three major categories: Life Sciences, Social Sciences and Indigenous Achievement

        • Awards are available in five specified categories as follows:

            • Teaching (up to 8 awards)

            • Research, Scholarly Work and Other Creatives (up to 8 awards)

            • Service (up to 6 awards)

            • Combination of Teaching; Service; and Research, Scholarly Work, and Other Creative Activities (up to 8 awards)

            • Promoting Indigenous Achievement (up to three awards)

        • Each Merit Award winner will receive $3,000

        • Applications/nominations are only considered for an award in the category specified.

        • Rules: No individual shall receive more than one (1) merit award in any one year, or more than one (1) merit award per category in a three (3) year period

      3. 2017 Merit Award Winners: $3,000 each:

      4. LIFE SCIENCES, NATURAL SCIENCES AND ENGINEERING

      5. Combination (of Teaching, Service, Research, Scholarly Work and Creative Activities)

      6. Carson Leung, Department of Computer Science, Faculty of Science

    4. Facebook

    5. University of Manitoba: Faculty of Science (@umanitobasci) shared a post:

    1. Twitter

    2. Both University of Manitoba (@umanitoba) and UManitoba Alumni (@UManAlumni) retweeted:

      1. DB&DM Lab@UManitoba (@dblabUofM) tweeted at 11:01 AM on 1 Jun 2018:

      2. @umanitoba 2017 Merit Awards announced http://news.umanitoba.ca/?p=91146

      3. Winners include Leung from @uofmcs in @umanitobasci

Winnipeg Data Science Meetup

    1. Tuesday, May 22, 2018

    2. 6:00 PM to 8:00 PM

    3. Launch Coworking Space, 1460 Chevrier Blvd Suite #200, Winnipeg, MB, R3T 1Y6

      1. May Data Science Meetup

      2. Hosted by Stuart Williams, Angela Toews, and Wing Kwong

      3. Featured speaker for our May 2018 Meet-Up is Dr. Carson Leung, Computer Scientist, Professor of Computer Science at The University of Manitoba. Prof. Leung conducts research in advance databases and data mining, and is well-known for teaching the highly in-demand database and data mining courses at the U of M. Carson Leung has been doing "Data Science" well before this term became popular.

      4. The title of the presentation is: 'Big Data and Data Science: From Academia to Industry'

      5. Data Science and Big Data are hot topics in both academia and industry. Professor Carson Leung explains how these areas are inter-related; and reviews the current state of Big Data, data mining and knowledge discovery, as well as data and visual analytics. Showcasing various U of M projects performed in collaboration with industry, Dr. Leung discusses what problems can be solved by these technologies, and the potential difficulties in adopting/adapting these technologies for real-world industry applications. While targeted to anyone interested in Data Science, this presentation will be specially tailored for industry practitioners who are interested in incorporating these technologies into their products and workflow.

      6. Speaker bio: Dr. Carson Kai-Sang Leung is a Computer Scientist and Full Professor at the Dept. of Computer Science at The University of Manitoba; and the Founder & Director of the U of M Database & Data Mining Lab. Dr. Leung is also a senior member of the Institute of Electrical & Electronics Engineers (IEEE) and senior member in the Association for Computing Machinery (ACM); and serves as a General Chair for the IEEE Fourth International Conference on Smart Data (IEEE SmartData 2018) to be held in Halifax this August. Research Interests include:

        • Data mining and analysis (including data analytics, data science & business intelligence solutions);

        • Big Data, databases (including image databases), data management, and data warehousing;

        • Data visualization and visual analytics;

        • Health informatics and electronic health;

        • Web technology and services;

        • Social computing & social network analysis.

      7. Corporate sponsors of this event:

        • HORIZON three - https://horizonthree.io

        • ArcLabs - https://arclabsonline.com

        • Launch Coworking Space - https://launch1460.ca

    4. 47 members went

    5. Wing Kwong (Event organizer) commented on May 22 2018:

    6. Informative presentation; excellent networking on the May event.

USRA 2018

Several lab members won undergraduate student research awards:

    • Mr. Joshua David Hamilton, Ms. Huizi Hao (a third-year B.C.Sc.(Hons.) co-op student), Sehaj Pal Singh, and Yibin Zhang were selected as winners of Faculty of Science Undergraduate Student Research Awards (USRA).

    • The following two students each 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:

        • Third-year undergraduate student Mr. Sehaj Pal Singh, who is enrolled in the B.Sc.(Hons.) in CS-Math co-op program, conducted a research project on "Design of a mathematical solution for big data mining and analytics"; and

        • Second-year undergraduate student Mr. Joshua David Hamilton, who is enrolled in the B.Sc.(Hons.) in CS-Stat program, conducted a research project on "Design of a statistical solution for big data mining and analytics".

    • Among ~29,000 undergraduate students across the campus, they were two of 100 UM VP(RI) URA winners.

    • Fourth-year undergraduate student Mr. Yibin Zhang, who is enrolled in the B.Sc.(Maj.) program with major in CS, won an UMSU Undergraduate Research Award (URA) to conduct a full-time 16-week research project on "Design of a data science solution for big data mining and analytics" in the area of data mining under the academic supervision of Dr. Carson K. Leung. Among ~29,000 undergraduate students across the campus, he was one of 70 UMSU URA winners.

    • Third-year undergraduate student Ms. Yeyoung Won, who is enrolled in the B.Sc.(Hons.) in CS-Math degree co-op program, won an NSERC Undergraduate Student Research Award (USRA) to conduct a full-time 16-week research project on "A data science solution for mining big data" in the area of data mining under the academic supervision of Dr. Carson K. Leung.

    • Fourth-year undergraduate student Mr. Shubhangi Bharti, from Indian Institute of Technology (ISM) - Dhanbad, was selected as the winner of a MITACS Globalink Internship project on "Mining useful information from social networks".

ICTAM Info Session

  1. Info Session: Big Data Science and Deep Learning: From Academia To Industry - March 23rd, 2018

    1. Presented by University of Manitoba

      1. Big data science and deep learning are two hot topics in both academia and industry. This free info session will present an introduction of the current state of big data science, computer vision, data mining and analytics, and deep learning: what problems can be solved by these technologies, and what are the possible difficulties of adopting these technologies in industry applications.

      2. While targeted to anyone interested in data science and deep learning, this info session will be especially for industry practitioners who are interested in adopting these advanced technologies into their products and workflow.

      3. Location: Main Floor, 435 Ellice Avenue, NRC Building

      4. When: Friday, March 23rd, 2018, 12:00pm - 1:15pm

      5. Registration: There is no cost but please register to attend.

      6. More Information: A light lunch will be available. info@ictam.ca or 204 944 0533

      7. Presented by: Dr. Carson Leung and Dr. Yang Wang, Faculty of Science, University of Manitoba

      8. About the Speakers:

      9. Dr. Yang Wang, Assistant Professor, Department of Computer Science, University of Manitoba: Yang Wang is currently an assistant professor at the Department of Computer Science, University of Manitoba. He received his PhD from Simon Fraser University, MSc from University of Alberta, and BEng from Harbin Institute of Technology. Before joining UManitoba, he worked as an NSERC postdoc fellow at the Department of Computer Science, University of Illinois at Urbana-Champaign. His research interests lie in computer vision and machine learning.

      10. Dr. Carson Leung, Professor, Computer Science, University of Manitoba: Carson Leung is currently a Full Professor of Computer Science at the University of Manitoba. He obtained his BSc(Hons), MSc and PhD from the University of British Columbia. He has published more than 180 papers on the topics of data science, databases, data mining, big data computing, social network analysis, and visual analytics. Over the past few years, he has taken different roles in the Organizing Committees of several international conferences. For example, he has served as a General Chair of IEEE CBDCom (Cloud and Big Data Computing) 2016 and IEEE SmartData 2018 conferences, and as a Program Chair of IEEE BigDataSE (Big Data Science and Engineering) 2016 and BigDAS (Big Data Applications and Services) 2017 conferences. He is a Senior Member of the ACM (Association for Computing Machinery) and IEEE (Institute of Electrical and Electronics Engineers).

    2. Twitter

    3. ICTAM (@ICTAM) tweeted at 1:31 PM on 23 Mar 2018:

    4. Thank you to @umanitobasci for the Friday afternoon data science, data mining and deep learning info session. We learned a ton! #MBtech

UofM FoS+LSAM Research-Industry Mixer

On Thursday, March 22, 2018, Dr. Carson Leung joined some of his fellow Manitoba's world-class researchers and industry executives for a friendly and glimpse into emerging research and innovations at Mona Lisa Ristorante Italiano. This FoS event is in partnership with Bioscience Association Manitoba (formerly, Life Science Association of Manitoba (LSAM)). Leung is a member of the Plant Resiliency Interdisciplinary Working Group.

PLANT BIOLOGY & CHOP SCIENCE

The Plant Biology Interdisciplinary Working Group is conducting research applicable to optimizing plant growth, stress tolerance, nutrient use efficiency, resistance to disease, food shortages, and climate change, including:

    • multi-omics tools, especially those that encompass big data, population, landscape, functional genomics, environmental data, and quantitative experiments to guide data-driven strategies in natural and managed plant and microbial populations.

CARSON LEUNG Professor, Computer Science

Research areas:

    • Data Science

    • Big Data Analytics

    • Visual Analytics

    • Data Mining

    • Databases

    • Business Intelligence

EIST (2018)

Table of contents by volume. Encyclopedia of Information Science and Technology, Fourth Edition (Vol. I) (2018) ISBN 978-1-5225-2255-3

    • Category: Big Data

BIDMA 2016 (2018)

Carson K. Leung, Fan Jiang, Tik Wai Poon, Paul-Émile Crevier:

Big data analytics of social network data: Who cares most about you on Facebook?

Highlighting the Importance of Big Data Management and Analysis for Various Applications (Studies in Big Data (SBD) 27):

1-15 (2018) [BIDMA16]

Abstract

In recent years, many people are connected with each other via social networking sites such as Facebook, Google+, LinkedIn, Twitter, and Weibo. Many users on these social networking sites actively add posts or tweets so that they share their activities with their friends or connections. This leads to big social network data. For many of these creators of social network data (i.e., users on the social networking sites), it is not unusual for them to have hundreds or even thousands of friends or connections. Among these friends or connections, some of them care about the users by responding to the users’ posts or tweets (e.g., like these posts, add comments to the posts, or retweet the tweets) while some other are lurkers who just observe do not actively participate in any social network activities. How to distinguish those who care about you from those lurkers? To answer this question, we present in this book chapter big data management and analytics techniques on social network data. Specifically, our techniques help users discover friends or connections who cares most about them on social networking sites such as Facebook.

UofM VP(RI) & UMSU URA

Researcher's Lists - Computer Science

Dr. Carson Leung

Professor, UofM Computer Science

Email: Carson.Leung@cs.umanitoba.ca

Research within the Database and Data Mining Laboratory in Department of Computer Science at the University of Manitoba focuses on databases and data mining, which includes efficient and effective management of, knowledge discovery from, as well as analysis of, large amounts of data (such as transactional, uncertain, social media, Web, graphs, data streams, rich data, and/or Big Data). Current and past research programs led by Prof. Dr. Leung--who have supervised many winners of this UofM Undergraduate Research Award (URA), as well as Science & NSERC Undergraduate Student Research Award (USRA) over the past few years--have been focused on Big data science, data mining, data analytics, visual analytics, data warehousing and OLAP (on-line analytical processing), and applications of database and data mining technologies to areas such as bioinformatics, health informatics and social network analysis. Both undergraduate and graduate student members of our lab have been actively designed efficient and effective algorithms for finding frequently occurring patterns (say, merchandise items frequently purchased together by customers) or detecting exceptional or abnormal items (say, detect malfunction devices). The resulting algorithms have been applied to various real-life applications.

BDCC

Dr. Carson K. Leung serves as an Editorial Board Member for the journal titled Big Data and Cognitive Computing (BDCC).

IGI Global

Carson K.-S. Leung

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.

Pazdor's Teaching

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

    • COMP 4380 A02 (Database Implementation) in Winter 2018 on every Tuesday and Thursday at 2:30pm-3:45pm in E2-110 from January 04 to April 05, 2018, whereas A01 is taught by Dr. Leung;

    • COMP 2130 (Discrete Mathematics for Computer Science) in Summer 2018 on every Monday and Wednesday at 7pm-8:30pm in E2-155 EITC from May 07 to August 08, 2018.

    • COMP 1012 A01 (Computer Programming for Scientists and Engineers) in Fall 2018 on every Tuesday and Thursday at 8:30am-9:45am in Education 224 from September 06 to December 06, 2018.

By the end of Fall 2018, Pazdor has taught a total of nine sections of four distinct courses at all four undergraduate year-levels (COMP 1012 five times, COMP 2130 once, COMP 3380 twice, and COMP 4380 once).