Events
2023 ESD DBA Project Showcase
2023 ESD DBA Project Showcase
Marie Kratz (ESSEC Business School) – Building up Cyber Resilience by Better Grasping Cyber Risk via a New Algorithm for Modelling Heavy-Tailed Data
Marie Kratz (ESSEC Business School) – Building up Cyber Resilience by Better Grasping Cyber Risk via a New Algorithm for Modelling Heavy-Tailed Data
Mok Sze Xin (Ernst & Young) – Technology and Data in the World of Commercial Trade and Supply Chains
Mok Sze Xin (Ernst & Young) – Technology and Data in the World of Commercial Trade and Supply Chains
Technology and Data in the World of Commercial Trade and Supply Chains
Technology and Data in the World of Commercial Trade and Supply Chains
Yang Shanshan (A*STAR) – Supply Chain 4.0 and Supply Chain Control Tower
Yang Shanshan (A*STAR) – Supply Chain 4.0 and Supply Chain Control Tower
Zhang Yangjing (Chinese Academy of Sciences) – On Efficient and Scalable Computation of the Nonparametric Maximum Likelihood Estimator in Mixture Models
Zhang Yangjing (Chinese Academy of Sciences) – On Efficient and Scalable Computation of the Nonparametric Maximum Likelihood Estimator in Mixture Models
Dor Liniado (Standard Chartered Bank) – Information and Cyber Security Risk, It is that easy – Is not it?!
Dor Liniado (Standard Chartered Bank) – Information and Cyber Security Risk, It is that easy – Is not it?!
Rajan Udwani (University of California, Berkeley) – Submodular Order Functions and Assortment Optimization
Rajan Udwani (University of California, Berkeley) – Submodular Order Functions and Assortment Optimization
Wellington Foo (Mitra Famosa International) – Limitations of Automation in our Logistics Industry
Wellington Foo (Mitra Famosa International) – Limitations of Automation in our Logistics Industry
Xu Yunjian (The Chinese University of Hong Kong) – Optimal Policy Characterization for Action Space Dimensionality Reduction in Stochastic Deadline Scheduling
Xu Yunjian (The Chinese University of Hong Kong) – Optimal Policy Characterization for Action Space Dimensionality Reduction in Stochastic Deadline Scheduling