data mining Archives | Research & Innovation

Professor, Canada Research Chair, and mathematician Jianhong Wu wins 2010 Award of Merit

fmaquito — Mon, 06 Dec 2010 10:00:00 +0000

What do math and the flu epidemic have in common? Just ask 91��ɫ Department of Mathematics & Statistics Professor Jianhong Wu, who studies disease progression and infection using math.

Wu, a , is leading two prominent Canadian teams on modelling and geo-stimulation of disease spread, and coordinates a number of academic-industrial collaborations in data mining, neuronal networks and pattern recognition. He is also the Canadian leader of a Canada-China collaboration in disease management and modelling, funded by the International Development Research Centre and Canada Research Chair program.

Right: Jianhong Wu accepts his Award of Merit

Recently, Wu was awarded the Federation of Chinese Canadian Professionals (Ontario) Education Foundation’s 2010 Award of Merit for his expertise in the field of mathematical biology and epidemiology, during a ceremony and reception in Toronto. In the federation’s citation it was noted that Wu is recognized in Canada and internationally for his interdisciplinary research in modelling disease transmission.

“I feel deeply honored and humbled by the award,” says Wu. “I am very pleased that 91��ɫ's support for interdisciplinary research and outreach is also recognized by the federation that has been promoting interdisciplinary studies among the various professions.”

What makes Wu distinct in his field is his ability to make novel contributions and integrate industrial application and applied mathematics to his research repertoire, and significantly contribute to both pure and applied mathematics.

Left: Jianhong Wu

He is most known for his contributions to the field of disease modelling, where his work has made a permanent and positive impact on human health. During the 2003 SARS outbreak, he established and led a national team of more than 20 scientists from governmental agencies and medical and mathematical sciences to model the transmission dynamics and spread of infectious disease (see YFile, Dec. 9, 2003). The research conducted by Wu and his team led to the development of prediction and intervention strategies, which impacts directly on preparedness measures for an influenza pandemic.

His work has influenced various public health policies and has become the benchmark for researchers in the pandemic area and beyond.

Among his accomplishments, Wu is founding, and has co-authored 17 books and more than 280 articles in both pure mathematics and mathematical applications. He is the recipient of various honours, including the Humboldt Research Fellowship (Germany), Paul Erdos Visiting Professorship (Hungry), Cheung Kong Visiting Professorship (China) and New Pioneer Science & Technology Award (Skills for Change). He is an executive member of the 91��ɫ Institute for Health Research.

Republished courtesy of YFile– 91��ɫ’s daily e-bulletin.

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Professor Jimmy Huang to host three IT conferences; topics include artifical intelligence

fmaquito — Fri, 27 Aug 2010 08:00:00 +0000

Professor Jimmy Huang is a very busy man. In addition to the Faculty of Liberal Arts & Professional Studies appointing him director of the School of Information Technology, he will be helping to host three prestigious international conferences in upcoming weeks. The conferences will focus on research into artificial intelligence, intelligent agent technology, active media technology, and information and knowledge management.

While current search-engine technology uses algorithms that rely on keywords to uncover pertinent information, the research of Huang and his colleagues uses algorithms with a capacity for natural-language processing and contextual understanding that can uncover more complex information. Rather than looking for instances of words, these elaborate algorithms can make sense of the words. The applications of the research are vast.

Right: Jimmy Huang

They can analyze, for instance, the text of blog postings and the feedback of its respondents and then make humanlike, intuitional assessments of the information. “The analysis could indicate changes in public mood on certain issues, or rising or diminishing support for a certain political leader,” says Huang.

His technology research seeks to improve the health-care system by reducing costs and improving services. Huang advocates the digitizing of all health-care records – texts, charts, X-rays and other image files – and making them securely accessible on the Internet.

How will this improve health care? “One of the reasons that health care is so expensive is due to the incentive for doctors and specialists to provide unnecessary or duplicate services, and to the inefficiencies of a system that creates multiple, proprietary medical records,” says Huang. He cites the example of a general practitioner drawing blood for a test, then referring a patient to a specialist who might perform the same procedure again due to the inaccessibility of the original GP’s files.

“If there were one comprehensive set of records for the patient, centrally and securely available on the Internet, practitioners wouldn’t have to resort to phone calls and courier services to exchange information,” says Huang. Improved access to information could reduce services and associated costs while maintaining the same level of care. “It would also allow for a more global perspective on a patient’s health as various practitioners wouldn’t be limited in the scope of information available to them and, with the assistance of algorithms, could uncover heretofore unseen conditions.”

Huang offers another example of the benefit of centralized resources by citing his own experience with a leg injury. His doctor referred him to a specialist near his home. However, the specialist couldn’t fit him into his schedule for two months. By then, the injury was repaired on its own, for better or worse. A centralized information system could analyze a patient’s surroundings in a more subtle way, not simply in terms of where the GP’s office is situated, but where the patient lives or works. An advanced algorithm could locate an available specialist in another area who might be available sooner.

The sphere of application is, likewise, immense: from opinion mining and sentiment analysis to context-aware computing and social networking or matchmaking.

The joint 2010 International Conferences on Active Media Technology and Brain Informatics will be on the Keele campus from Aug. 28 to 30, and the 2010 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology will take place at 91��ɫ from Aug. 31 to Sept. 3. The 19th ACM International Conference on Information and Knowledge Management (CIKM 2010) will be held at the Fairmont Royal 91��ɫ from Oct. 26 to 30.

“Bringing these venerable, annual conferences to 91��ɫ for the first time represents quite a coup for the University. Among the list of sponsors are some of the major companies involved in the information technology industry and the competition for papers among prospective participants was extremely competitive,” says Huang. “I’m very grateful for the support of the Offices of the Vice-President Academic & Provost and the Vice-President Research & Innovation, and the Dean’s Office of the Faculty of Liberal Arts & Professional Studies.”

Republished courtesy of YFile– 91��ɫ’s daily e-bulletin.

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Researchers developing next generation of data analysis and visualization tools

fmaquito — Wed, 03 Mar 2010 10:00:00 +0000

$11.5 million interdisciplinary project includes computer scientists, vision scientists, designers, artists and social scientists at 91��ɫ, OCAD and U of T, with 14 industry partners

How do you look at millions of genomic patterns and see the diagnostic implications? How do you assimilate satellite data to better predict and visualize the effects of global warming, pollution, and weather patterns? How can you chart the global migration of millions of people under slavery? How do you assess the impact millions of blog entries have had on the print media economy? How do you sift global intelligence reports to identify the real threats?

Each day, humanity poses thousands of similar questions as we produce massive data sets in every field − but as the data grows, the challenge becomes translating this data for the human senses and delivering the best analysis to solve real-world problems.

The Centre for Innovation in Information Visualization and Data-Driven Design (CIV-DDD), led by 91��ɫ in partnership with the (OCAD), promises to develop the next generation of data discovery, design, and visualization techniques by developing new computational tools, representational strategies, and interfaces.

The $11.5 million five-year project brings together a unique multidisciplinary team of over 50 researchers from 91��ɫ, OCAD, the University of Toronto, 14 industry partners, and significant international collaborators.

(left), Canada Research Chair in Computational Vision and Distinguished Research Professor of Vision Science at 91��ɫ, is the project’s principal investigator. , professor of artificial intelligence and data mining in the Faculty of Science & Engineering, will co-lead 91��ɫ’s team of 14 researchers, who include , professor and chair of the Department of Computer Science & Engineering, and , Canada Research Chair in Digital Culture and associate professor of film in the Faculty of Fine Arts.

Sara Diamond, visualization design researcher and president of the Ontario College of Art & Design, will lead OCAD’s team of 12 researchers, who include Vladimir Spicanovic, dean of the Faculty of Art, and Greg van Alstyne, professor in the Faculty of Design and director of Research, Strategic Innovation Lab.

has provided over $3.8 million in funding through the Ontario Research Fund-Research Excellence Program; industry partners will contribute over $3.6 million, with the remaining $4.1 million coming from the project’s institutional partners.

“Humans’ capacity to interpret sensory stimuli is limited, which is why the human processing strategy is to attend to the relevant and ignore the irrelevant,” says Tsotsos. “Determining what’s relevant is a key task. Equally important is discovering how best to present such data in a form that is quickly and effectively understood. By combining our team’s expertise in computer science, design, digital media, visual perceptual science, fine arts, and the social sciences, CIV-DDD will discover and provide new visualizations for underlying patterns, processes, and relationships within data sets. These in turn will suggest new research directions and applications, laying the foundation for a new wave of knowledge creation and technological products.”

CIV-DDD formalizes many existing research collaborations, both within 91��ɫ’s faculties and departments and among researchers at 91��ɫ, OCAD, and U of T. “In the new paradigm of data-driven discovery, art and design researchers have a profound role to play in partnership with scientists, making the invisible visible, heralding a new era of knowledge, cultural creation, and technological products,” said Diamond. “This preeminent research hub for the development of next-generation data visualization techniques is unique in its level of interdisciplinary fire power, strong collaboration with end-users and international links. It aggregates and extends much successful collaboration amongst the researchers, and between OCAD and 91��ɫ.”

Many techniques and technologies developed by research groups associated with CIV-DDD will become resources for the entire team as they focus on new data-driven design and information visualization solutions in four thematic areas:

bioinformatics and medicine
fine and performing arts
engineering and physical sciences
humanities and social sciences

Collaboration between industry and academia is crucial to the project’s success. “Platform Computing is honoured to support the CIV-DDD project and provide the students and researchers at 91��ɫ and the OCAD with cutting-edge technologies to explore and create the next generation of visualization solutions and services and help them tackle scientific, social and human challenges,” said Jingwen Wang, vice-president, products, at . “Collaboration and information sharing are fundamental to academic research and Platform products enable researchers and students to easily collaborate and manage data and resources to capture, simulate and analyze their results.”

CIV-DDD’s industry partners highlight its wide applicability across sectors, including:

Mass media and communications studies, ethnography, and cultural studies −
Enterprise and knowledge management businesses −
Technology service providers − , , and
Physics −
Sustainable, intelligent systems, and green technology −
Computer and communication technologies − , , and
Entertainment and Web-related industries − , , and
Research and innovative presentation −
Business intelligence work − and
Mobile technology and applications developers − Zameen
Medicine and bioinformatics − U of T’s , the , and McMaster University’s

“CIV-DDD responds both to a dramatic paradigm shift in the health, social and economic challenges facing Canadians and the need for more research capacity and state-of-the-art infrastructure in this region,” said Stan Shapson, 91��ɫ’s vice-president Research & Innovation. “It also builds on the existing strengths of 91��ɫ’s , the Institute for Research on Learning Technologies in the Faculty of Education, and in the Faculty of Fine Arts, among others.

“By leading the Consortium on New Media, Creative, and Entertainment R&D in the Toronto Region (CONCERT), 91��ɫ and its partner universities and industries identified the preconditions necessary to develop a high-end visualization industry in Ontario. This unique collaboration will help fulfill one of CONCERT’s long-term objectives, which was to grow the region’s entertainment, screen-based and other innovation-driven creative industries into a globally competitive cluster.”

CIV-DDD will also support Ontario’s economy by producing innovative technology for commercialization, such as new:

data-mining algorithms
3D-vision and 3D-modeling technologies
data-display tools and protocols
visualization-design methods and techniques
data-inquiry paradigms
user-friendly interfaces that can be scaled to a variety of screen displays
new aesthetics and research practices

“We’re proud of the cutting-edge work that our researchers do at 91��ɫ and the wealth and jobs they create in 91��ɫ West and across Ontario,” said , MPP for 91��ɫ West. “New discoveries will continue to be made and we want those people, those ideas and those jobs right here in our community.”

CIV-DDD is one of 21 projects funded by the Ontario Research Fund–Research Excellence program, which has provided almost $69.5 million to support more than 214 researchers in seven cities across Ontario. The Ontario Research Fund is a key part of the province’s Innovation Agenda, a $3.2 million strategy designed to move world-class research from the lab to the global marketplace in key areas such as life sciences, digital media, and green energy to ensure Ontario will be among the 21^st Century’s winning economies. The Research Excellence program helps develop Ontario’s research talent while ensuring Ontario researchers have the operating funding they need to undertake world-leading projects.

For a full list of funded projects, visit MRI’s .

91��ɫ’s researchers:

John Tsotsos, Canada Research Chair in Computational Vision, distinguished research professor of vision science, Faculty of Science & Engineering, and member of the Centre for Vision Research (CVR)
Nick Cercone, professor of artificial intelligence and data mining, Faculty of Science & Engineering
Amir Asif, associate professor and chair of the Department of Computer Science & Engineering, Faculty of Science & Engineering
Caitlin Fisher, Canada Research Chair in Digital Culture and assistant professor of film, Faculty of Fine Arts
Robert Allison, associate professor, Department of Computer Science & Engineering, Faculty of Science & Engineering
Melanie Baljko, assistant professor, Department of Computer Science & Engineering, Faculty of Science & Engineering
James Elder, associate professor, Department of Psychology, Faculty of Health and a member of CVR
Jimmy Huang, associate professor of information technology, Faculty of Science & Engineering
Michael Jenkin, professor, Department of Computer Science & Engineering, Faculty of Science & Engineering and a member of CVR
Jennifer Jenson, associate professor of pedagogy and technology, Faculty of Education
Paul E. Lovejoy, distinguished research professor in the Department of History and Canada Research Chair in African Diaspora History
Don Sinclair, professor and coordinator of Fine Arts Cultural Studies, Faculty of Fine Arts
Wolfgang Stuerzlinger, associate professor, Department of Computer Science & Engineering, Faculty of Science & Engineering, and a member of CVR
Nell Tenhaaf, associate professor, Department of Visual Arts, Faculty of Fine Arts, and associate dean, Graduate Studies, Research, Planning, in the Faculty of Fine Arts.
Laurie Wilcox, associate professor of psychology and biology, Department of Psychology, Faculty of Health and associate director of CVR
Richard Wildes, associate professor, Department of Computer Science & Engineering, Faculty of Science & Engineering

OCAD’s researchers:

Sara Diamond, visualization design researcher and president of the Ontario College of Art & Design
Vladimir Spicanovic, dean, Faculty of Art
Greg van Alstyne, professor, Faculty of Design and director of research, Strategic Innovation Lab
Patricio Davila, assistant professor, Faculty of Design
Paula Gardner, associate professor, Faculty of Liberal Studies
Julian Goss, professor, Faculty of Design, and chair of Industrial Design
Anda Kubis, associate professor, Faculty of Art, and chair of Drawing and Painting
Martha Ladly, associate professor and director of the Interdisciplinary Art, Media and Design Program
Francis LeBouthillier, sculpture and installation artist and chair of Sculpture and Installation
Laura Millard, associate professor, Faculty of Art
Luke Painter, assistant professor, Faculty of Art
Barbara Rauch, assistant professor, Digital Futures Initiative, Faculty of Design
Suzanne Stein, associate professor, Digital Futures Initiative, Faculty of Design

U of T’s researchers:

Ravin Balakrishnan, associate professor of Computer Science and Canada Research Chair in Human-Centred Interfaces in the Department of Computer Science
Karan Singh, associate professor of Computer Science, Department of Computer Science

By Elizabeth Monier-Williams, research communications officer. Photos courtesy of YFile – 91��ɫ’s daily e-bulletin.

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