Research interests & skills

Research interests

Resource allocation optimization

Centralized decision-making

Focus

Allocation of scarce resources in public-sector and institutional settings, including governments, banks, universities, and hospitals.

Research objectives

Develop allocation approaches that maximize total organizational returns while respecting the specific production characteristics of each unit.

Decentralized decision-making

Focus

Allocation of scarce resources among entities with explicit competitive relationships.

Research objectives

Identify equilibrium allocation schemes that balance the interests of all participating parties.

Evaluation theory and methods

Focus

Rigorous calculation of efficiency scores, performance ranking, and productivity analysis for production units.

Research objectives

Build on existing data envelopment analysis (DEA) theory and models to accelerate efficiency and productivity calculations for large datasets and improve the robustness of evaluation results under uncertainty.

Carbon emissions reduction management

Focus

The emissions reduction capabilities, potential, and pressures of different production entities.

Research objectives

Determine currently achievable emissions reduction levels, assess reduction potential over a future time horizon, and develop effective methods to define and measure the actual emissions reduction pressure faced by each entity.

Optimization of carbon market mechanisms

Focus

Improvement of key carbon market mechanisms, including the allocation and issuance of emission allowances and compliance arrangements.

Research objectives

Integrate initial allocation and market trading to design allowance allocation schemes that distribute benefits equitably; explore a prudent, orderly introduction of paid allowance allocation in China’s national carbon market to strengthen emissions reduction incentives; and design collaborative compliance mechanisms among supply-chain firms to enhance the resilience of economic and production activities during emissions reduction and mitigate carbon market compliance risks.

Research skills

Theoretical foundations

Mathematical foundations: Linear algebra, probability theory, and calculus.
Operations research: Optimization modeling and the design of solution algorithms.
Game theory: Cooperative and non-cooperative games, bargaining games, and Stackelberg games.
Data envelopment analysis: DEA-based efficiency and productivity evaluation and resource allocation optimization.
Machine learning: Predictive methods using random forests, XGBoost, and neural networks.
Social network analysis: Flow-data analysis using social network analysis methods.

Applied research skills

Programming: Proficient Python programming for research.
Optimization solvers: Proficient use of Gurobi and other optimization solvers.
Scientific visualization: Scientific plotting and mapping with Origin and ArcGIS.
Academic writing tools: Document preparation and academic writing with Microsoft Office and LaTeX.
AI-assisted research: Use of Codex and other AI tools to support research and improve efficiency.

Research interests & skills