Cost Computation Professors in Global

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Panos Parpas
Imperial College London United Kingdom
computational optimization
computational finance
mathematical optimization
computational mathematics
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Christian Kronborg
University of Southern Denmark Denmark
cost-benefit analysis
cost-effectiveness analysis
cost-utility analysis
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Yang Cai
Yale University United States of America
computation
economics & computation
optimization
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Hamidreza Zareipour
University of Calgary Canada
energy cost management
mathematical optimization
energy price modeling
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Petter Kolm
New York University United States of America
transaction costs
financial mathematics
optimization
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Robert Womersley
University of New South Wales Australia
computational finance
computational methods
computational mathematics
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Nazim Khan
University of Western Australia Australia
statistical computing
computational methods
computational statistics
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Gabriel Domingues
Lund University Sweden
cost modelling
cost-effectiveness
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Maiken Aaskoven
University of Southern Denmark Denmark
cost analysis
cost benefit analysis
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Bahman Kashi
Queen's University Canada
cost-benefit analysis
cost-effectiveness analysis
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Michelle Phang Mee Seong
Nanyang Technological University Singapore
cost accounting
accounting
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John Christensen
University of Southern Denmark Denmark
product costing
modern costing systems
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Falconer Mitchell
University of Edinburgh Business School United Kingdom
cost management
activity based costing
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Niels Dechow
Aalborg University Denmark
cost accounting
accounting
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Sita Syal
University of Michigan United States of America
cost modeling
optimization
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William Wong
University of Toronto Canada
cost-effectiveness analysis
costing and return on investment
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Graham Farr
Monash University Australia
computation
computational complexity
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Qiu Chen
University of Ottawa Canada
cost management
accounting
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Annelie Carlson
Linköping University Sweden
cost efficiency
life cycle costing
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Linda Collins
New York University United States of America
cost-effectiveness
optimization
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Giacomo Nannicini
University of Southern California United States of America
computation
optimization
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