Sydney, Australia

The University of Technology, Sydney is a university in Sydney, Australia. It was ranked in the 401st–500th bracket and 17th–19th in Australia in the 2013 Academic Ranking of World Universities. The university was founded in its current form in 1988, although its origins trace back to the 1870s. It is part of the Australian Technology Network of universities. Wikipedia.

Time filter

Source Type

"Donald has had a respected career at Manulife over the course of 36 years, and will leave a lasting legacy on the Company," said Richard DeWolfe, Chairman of the Board. "Under his strong leadership, Manulife has dramatically grown its earnings, expanded its Asia and Wealth and Asset Management businesses, delivered significant shareholder value and rallied around the purpose of helping its 22 million customers achieve their dreams and aspirations." Mr. DeWolfe continued: "Donald's eight-year tenure as CEO began in the aftermath of the most serious financial crisis in modern history, and at a moment when Manulife faced a number of difficult internal and external challenges. Today, the Company has a strong, global footprint positioned for growth, with more than $1 trillion in assets under management and administration and $4 billion in core earnings in 2016 alone. On behalf of the Board, I would like to thank Donald for every one of his numerous contributions to our Company." "Building a strong bench of succession candidates for the future is one of the most significant responsibilities for a CEO, and so I am proud that an individual of Roy's caliber will be taking the leadership of the Company," Mr. Guloien said. "I couldn't be more thankful for the career I've enjoyed at Manulife, and I cherish the great relationships I've built with our Board, employees, customers, investors and other stakeholders around the world. I also look forward to helping Roy transition into the CEO role." Mr. Gori said: "It's a true honour to be appointed to lead Manulife – a strong, global organization with a tremendous history and quality people. I know our employees are committed fully to delivering an exceptional experience for our customers, and to accelerating our transformation to ensure we build on our momentum, drive strong financial results and create shareholder value." Mr. DeWolfe added: "Roy is ideally suited to lead Manulife as our Company and our industry both undergo a period of significant change, driven by growing customer expectations, rapid technological advancement and evolving regulatory frameworks. The Board is excited by his passion and energy as the Company opens a new chapter in its history, and we look forward to establishing a strong working relationship with Roy for the benefit of our shareholders." Manulife also announced that Craig Bromley, Senior Executive Vice President and General Manager of the Company's U.S. Division (John Hancock), has left the Company. Michael Doughty, who currently serves as President and General Manager of John Hancock Insurance, has been appointed General Manager of U.S. Division on an interim basis, subject to all necessary approvals. Mr. Doughty and U.S. Division's senior executive team possess extensive experience leading the business, and Manulife expects it will be business as usual during the transition period, without disruption for customers, employees and other stakeholders. Mr. Gori's appointment is subject to immigration approvals. On March 29, Manulife announced that Mr. Gori had been appointed Manulife's President, effective June 5. Mr. Gori currently serves as Senior Executive Vice President and General Manager of Manulife's Asia Division. As President, he will be responsible for leadership of Manulife's Canadian, U.S. and Investment operations, in addition to Asia. He will also be responsible for developing and executing Manulife's business strategy. Phil Witherington, currently the Chief Financial Officer of Asia Division, will become its interim CEO, effective June 5. Mr. Witherington has held his current role since 2014, and has been highly instrumental in improving the competitive position and sharpening the customer focus of Manulife's business in Asia. Mr. Gori joined Manulife from Citi in early 2015, where he served as Head of Consumer Banking, North Asia and Australia, and Regional Head of Retail Banking, Asia Pacific, which included responsibility for Citi's insurance and wealth management businesses. He has worked and lived in Sydney, Singapore, Thailand and Hong Kong. He has an Economics and Finance degree from the University of New South Wales and an MBA from the University of Technology, Sydney. He is married with three children. Manulife Financial Corporation is a leading international financial services group that helps people achieve their dreams and aspirations by putting customers' needs first and providing the right advice and solutions. We operate as John Hancock in the United States and Manulife elsewhere. We provide financial advice, insurance, as well as wealth and asset management solutions for individuals, groups and institutions. At the end of 2016, we had approximately 35,000 employees, 70,000 agents, and thousands of distribution partners, serving more than 22 million customers. As of March 31, 2017, we had $1 trillion (US$754 billion) in assets under management and administration, and in the previous 12 months we made almost $26.3 billion in payments to our customers. Our principal operations are in Asia, Canada and the United States where we have served customers for more than 100 years. With our global headquarters in Toronto, Canada, we trade as 'MFC' on the Toronto, New York, and the Philippine stock exchanges and under '945' in Hong Kong.

University of Technology, Sydney | Date: 2017-03-29

The present invention relates to methods for generating sequences of template nucleic acid molecules, methods for determining sequences of at least two template nucleic acid molecules, computer programs adapted to perform the methods and computer readable media storing the computer programs. In particular the present invention relates to methods for generating sequences of at least one individual target template nucleic acid molecule comprising: a) providing at least one sample of nucleic acid molecules comprising at least two target template nucleic acid molecules; b) introducing a first molecular tag into one end of each of the at least two target template nucleic acid molecules and a second molecular tag into the other end of each of the at least two target template nucleic acid molecules to provide at least two tagged template nucleic acid molecules wherein each of the at least two tagged template nucleic acid molecules is tagged with a unique first molecular tag and a unique second molecular tag; c) amplifying the at least two tagged template nucleic acid molecules to provide multiple copies of the at least two tagged template nucleic acid molecules comprising the first molecular tag and the second molecular tag; d) sequencing regions of the at least two tagged template nucleic acid molecules comprising the first molecular tag and the second molecular tag; and e) reconstructing a consensus sequence for at least one of the at least two target template nucleic acid molecules.

Xu C.,Peking University | Tao D.,University of Technology, Sydney
IEEE Transactions on Pattern Analysis and Machine Intelligence | Year: 2014

In this paper, we extend the theory of the information bottleneck (IB) to learning from examples represented by multi-view features. We formulate the problem as one of encoding a communication system with multiple senders, each of which represents one view of the data. Based on the precise components filtered out from multiple information sources through a 'bottleneck', a margin maximization approach is then used to strengthen the discrimination of the encoder by improving the code distance within the frame of coding theory. The resulting algorithm therefore inherits all the merits of the IB principle and coding theory. It has two distinct advantages over existing algorithms, namely, that our method finds a tradeoff between the accuracy and complexity of the multi-view model, and that the encoded multi-view data retains sufficient discrimination for classification. We also derive the robustness and generalization error bound of the proposed algorithm, and reveal the specific properties of multi-view learning. First, the complementarity of multi-view features guarantees the robustness of the algorithm. Second, the consensus of multi-view features reduces the empirical Rademacher complexity of the objective function, enhances the accuracy of the solution, and improves the generalization error bound of the algorithm. The resulting objective function is solved efficiently using the alternating direction method. Experimental results on annotation, classification and recognition tasks demonstrate that the proposed algorithm is promising for practical applications. © 1979-2012 IEEE.

Cortie M.B.,University of Technology, Sydney | McDonagh A.M.,University of Technology, Sydney
Chemical Reviews | Year: 2011

Synthesis and optical properties of hybrid and alloy plasmonic nanoparticles hybrid systems that display a plasmon resonance in the visible or near-visible regions of the spectrum are studied. In the hybrid system, also called passive metallo-dielectric hybrids, the functionalities of the parts remain reasonably independent. The optical properties of these structures are explained by the properties of the individual parts, except for some bathochromic shifting of the plasmon resonance of the metallic component due to the increase in local dielectric constant due to the other component. Metal-metal hybrids and their closely related alloyed nanoparticles exhibit more complex behavior. The plasmon resonance or resonances of the parts can be enhanced, shifted, or suppressed. In the case of core-shell particles, the dielectric properties of the shell material will dominate above some modest thickness, and in the limit, the result is as if the hybrid was composed throughout of the shell material.

Chan M.K.,University of Technology, Sydney
Econometrica | Year: 2013

A dynamic structural model of labor supply, welfare participation, and food stamp participation is estimated using the 1992, 1993, and 1996 panels of the Survey of Income and Program Participation. Details of various policies including welfare time limits, work requirements, and Earned Income Tax Credit (EITC) are incorporated formally in the budget constraint. Policy simulations reveal that the economy accounts for half of the increase in the labor supply of female heads of family between 1992 and 1999. A time limit results in a larger efficiency gain than a work requirement or a direct reduction in welfare benefits. A reform package can lead to both a reduction in the government expenditure and an improvement in utility. The EITC expansion results in a substantial efficiency gain among individuals with the lowest expected wage. These individuals are almost unaffected by the economic expansion, but their income and utility increase significantly under the reform package. © 2013 The Econometric Society.

Gillings M.R.,Macquarie University | Stokes H.W.,University of Technology, Sydney
Trends in Ecology and Evolution | Year: 2012

Attempts to control bacterial pathogens have led to an increase in antibiotic-resistant cells and the genetic elements that confer resistance phenotypes. These cells and genes are disseminated simultaneously with the original selective agents via human waste streams. This might lead to a second, unintended consequence of antimicrobial therapy; an increase in the evolvability of all bacterial cells. The genetic variation upon which natural selection acts is a consequence of mutation, recombination and lateral gene transfer (LGT). These processes are under selection, balancing genomic integrity against the advantages accrued by genetic innovation. Saturation of the environment with selective agents might cause directional selection for higher rates of mutation, recombination and LGT, producing unpredictable consequences for humans and the biosphere. © 2012 .

Rodgers K.J.,University of Technology, Sydney
Experimental Neurology | Year: 2014

Animals, in common with plants and microorganisms, synthesise proteins from a pool of 20 protein amino acids (plus selenocysteine and pyrolysine) (Hendrickson et al., 2004). This represents a small proportion (~. 2%) of the total number of amino acids known to exist in nature (. Bell, 2003). Many 'non-protein' amino acids are synthesised by plants, and in some cases constitute part of their chemical armoury against pathogens, predators or other species competing for the same resources (Fowden et al., 1967). Microorganisms can also use selectively toxic amino acids to gain advantage over competing organisms (. Nunn et al., 2010). Since non-protein amino acids (and imino acids) are present in legumes, fruits, seeds and nuts, they are ubiquitous in the diets of human populations around the world. Toxicity to humans is unlikely to have been the selective force for their evolution, but they have the clear potential to adversely affect human health. In this review we explore the links between exposure to non-protein amino acids and neurodegenerative disorders in humans. Environmental factors play a major role in these complex disorders which are predominantly sporadic (. Coppede et al., 2006). The discovery of new genes associated with neurodegenerative diseases, many of which code for aggregation-prone proteins, continues at a spectacular pace but little progress is being made in identifying the environmental factors that impact on these disorders. We make the case that insidious entry of non-protein amino acids into the human food chain and their incorporation into protein might be contributing significantly to neurodegenerative damage. © 2013 Elsevier Inc.

Cao L.,University of Technology, Sydney
Information Sciences | Year: 2010

The in-depth analysis of human behavior has been increasingly recognized as a crucial means for disclosing interior driving forces, causes and impact on businesses in handling many challenging issues such as behavior modeling and analysis in virtual organizations, web community analysis, counter-terrorism and stopping crime. The modeling and analysis of behaviors in virtual organizations is an open area. Traditional behavior modeling mainly relies on qualitative methods from behavioral science and social science perspectives. On the other hand, so-called behavior analysis is actually based on human demographic and business usage data, such as churn prediction in the telecommunication industry, in which behavior-oriented elements are hidden in routinely collected transactional data. As a result, it is ineffective or even impossible to deeply scrutinize native behavior intention, lifecycle and impact on complex problems and business issues. In this paper, we propose the approach of behavior informatics (BI), in order to support explicit and quantitative behavior involvement through a conversion from source data to behavioral data, and further conduct genuine analysis of behavior patterns and impacts. BI consists of key components including behavior representation, behavioral data construction, behavior impact analysis, behavior pattern analysis, behavior simulation, and behavior presentation and behavior use. We discuss the concepts of behavior and an abstract behavioral model, as well as the research tasks, process and theoretical underpinnings of BI. Two real-world case studies are demonstrated to illustrate the use of BI in dealing with complex enterprise problems, namely analyzing exceptional market microstructure behavior for market surveillance and mining for high impact behavior patterns in social security data for governmental debt prevention. Substantial experiments have shown that BI has the potential to greatly complement the existing empirical and specific means by finding deeper and more informative patterns leading to greater in-depth behavior understanding. BI creates new directions and means to enhance the quantitative, formal and systematic modeling and analysis of behaviors in both physical and virtual organizations. © 2010 Elsevier Inc. All rights reserved.

University of Technology, Sydney | Date: 2016-02-25

The present invention relates generally to a population of cells genetically modified to produce insulin in a glucose responsive manner and uses thereof. More particularly, the present invention relates to a population of cells genetically modified to produce insulin in response to physiologically relevant levels of glucose and uses thereof. The cells of the present invention are useful in a wide variety of applications, in particular in the context of therapeutic and prophylactic regimes directed to the treatment of diabetes and/or the amelioration of symptoms associated with diabetes, based on the transplantation of the cells of the present invention into mammals requiring treatment. Also facilitated is the design of in vitro based screening systems for testing the therapeutic effectiveness and/or toxicity of potential adjunctive treatment regimes.

Toyota Motor Corporation and University of Technology, Sydney | Date: 2015-05-19

An object tracking device includes a short-term processing portion and a long short-term processing portion that are implemented by circuitry and work in a collaborative manner to track an object. The short-term processing portion includes a filter that tracks the object based on short-term memory and spatiotemporal consistency. The long short-term processing portion performs key-point matching-tracking and estimation based on a key-point database in order to track the object. A controller determines an output of the object tracking device based on the processing conducted by the short-term and long short-term processing portions of the tracking device, respectively.

Loading University of Technology, Sydney collaborators
Loading University of Technology, Sydney collaborators