Research Experience & Projects

Selected research, optimization, and analytics work. Each entry has its own page with more detail — add a new one by dropping a Markdown file into src/content/projects/.

Robust Optimization for Integrated Healthcare Scheduling

MILP with budgeted uncertainty in Python/Gurobi to co-optimize surgical planning and nurse assignment, preventing staff workload violations during stochastic demand spikes.

MILP Gurobi Python Healthcare Operations

The Integrated Healthcare Timetabling Problem — A Review

PhD Summer Paper. A literature review synthesizing foundational metaheuristics and optimization models for integrated, dynamic hospital scheduling.

Literature Review Scheduling Metaheuristics

An Empirical Study on Consumer Trust and Willingness-to-Pay

Structural Equation Modeling study analyzing green trust's mediating role in sustainable technology purchasing behavior.

SEM SmartPLS Empirical Methods

Next-Basket Prediction using Bidirectional Transformers

Improved an e-commerce recommendation system by applying a bidirectional Transformer model with data augmentation to better capture customer shopping patterns.

Transformers Deep Learning Recommender Systems

Customer Lifetime Value Assessment via K-Means Clustering

Combined traditional RFM modeling with weighted K-Means clustering to predict customer lifetime value across e-commerce segments.

K-Means RFM Clustering

Blockchain-Based Verification Frameworks for Supply Chain Transparency

Evaluated blockchain frameworks for supply chain transparency — using decentralized records to ensure product originality and streamline partner verification.

Blockchain Supply Chain

MSc Thesis — Multi-objective Robust Optimization for Remanufacturing

Multi-objective optimization model for hybrid manufacturing and remanufacturing planning under uncertainty in return quality, production times, and demand.

Robust Optimization Multi-objective Remanufacturing

Large-Scale Optimization of Healthcare Logistics via Benders Decomposition

Implemented a Benders decomposition algorithm in GAMS to efficiently solve a complex optimization model for blood supply chain distribution.

Benders Decomposition GAMS Healthcare Logistics

Discrete-Event Queueing Simulation for Transportation Systems

Developed an Arena simulation model to evaluate system-wide transportation performance, analyze queue dynamics, and identify operational bottlenecks.

Arena DES Queueing