Eleftherios Manousakis

Designed and delivered an advanced undergraduate course in Operations Research and Computational Intelligence, covering metaheuristic algorithms, mathematical programming (Gurobi), and project-based learning.

Mentored students in developing expertise in problem modeling, algorithm implementation, and critical analysis of complex computational problems through practical projects.

Integrated Python implementation and software engineering connections into the curriculum, preparing students for real-world industrial applications.

Developed and optimized high-performance sports models using C#, significantly enhancing accuracy and operational efficiency.

Implemented continuous optimization strategies for existing models, improving real-time performance and resource utilization across systems.

Designed and built scalable software solutions for data ingestion, model execution, and result dissemination, ensuring robust system architecture.

Collaborated closely with quantitative analysts to translate complex mathematical models into production-ready C# code, bridging research and application.

Contributed across the full software development lifecycle, from requirements gathering and architecture to testing and deployment of critical model components.

Formulated complex mathematical programming models and developed heuristic/exact optimization algorithms using C#, Python, Julia, Gurobi, and CPLEX for routing and supply chain problems.

Conducted original research, resulting in multiple publications and presentations disseminating findings to academic and industrial audiences.

Identified funding sources and prepared successful research proposals, securing grants for ongoing projects.

Mentored numerous undergraduate students, guiding them through thesis and research projects, fostering next-generation talent.

Assisted in the development and optimization of high-performance sports models, contributing to initial phases of accuracy and efficiency improvements.

Supported the implementation of optimization strategies, learning to improve real-time performance and resource utilization.

Contributed to the design and building of scalable software solutions, focusing on data ingestion and model execution components.

Collaborated with senior engineers and quantitative analysts to translate mathematical models into functional code.

Streamlined daily report generation, improving data accuracy and timeliness for operational decision-making.

Developed and maintained comprehensive documentation and manuals for systems and processes, enhancing clarity and operational efficiency.

Managed and updated critical staff information records, ensuring data integrity and facilitating HR functions.

Provided essential administrative support, including managing time off requests, contributing to smooth team operations.

Successfully completed PhD thesis on "Optimization Methods for Combined Problems in Transportation and Logistics Management," demonstrating deep expertise in the field.

Developed novel mathematical models and algorithms to address critical challenges in transportation and logistics, contributing to academic literature.

Published research findings in high-level journals and presented at national and international conferences, accumulating over 340 citations.

Designed and implemented mathematical models and algorithms for the Slot Allocation Problem in congested airports using Java and ILOG CPLEX Solver.

Conducted requirement analysis and current model mapping for emergency response routing for an international company, enhancing operational preparedness.

Delivered weekly review lectures for Microeconomics (1st semester) and Macroeconomics (2nd semester) for the 2013-2014 class.

Achieved exceptional student evaluation scores of 4.36/5 in Microeconomics and 4.6/5 in Macroeconomics, demonstrating effective teaching.

Developed an econometric research project involving data cleaning, manipulation, and multiple-multivariate regression analysis for the General Secretariat of Commerce (GGE).

Analyzed factors determining the price evolution of condensed milk, providing data-driven insights to the Economic Analysis Unit.

Identified economic zones and monopolistic practices, proposing remedial actions to the General Secretariat of Commerce.