Mr Marios Kremantzis
PhD, MSc, BSc, FHEA
Mario's teaching and research interests lie within the fields of management science and operations research with particular emphasis on (network) data envelopment analysis and multiple-criteria decision-making techniques.
- Management Science
- Operations Research
- Data Envelopment Analysis
- Network Data Envelopment Analysis
- Efficiency Measurement
- Multi-criteria Decision Making
- AI & Student Engagement
Lecturer in Business AnalyticsSchool of Management
Marios’ research interests lie in the fields of Data Envelopment Analysis (DEA), efficiency measurement, and multi-criteria decision analysis. He has substantial experience in building and applying mathematical programming models to solve real-world problems and make well-argued decisions. He is also competent to evaluate the performance of production and operations systems with network structures under the DEA technique. Thanks to various cross-disciplinary research collaborations, his work has already been published in Expert Systems with Applications and in RAIRO-Operations Research. He has been a referee for a number of prestigious journals such as the Journal of the Operational Research Society and the OR Spectrum. He has also chaired a session for the internationally renowned conference of the Operational Research Society (OR63). During his doctoral studies, he received funding from the EPSRC and the BAE Systems, and he has taken part in internationally renowned conferences in the UK, Greece and South Korea. He is currently acting as the Lead Guest Editor of the special issue titled “Fairness in the evaluation and ranking of DMUs within network DEA structures” in Mathematical Modelling and Applications.
Marios is also a member of the Operational Research Society and a Fellow of the Higher Education Academy (FHEA). He has been nominated for 2022’s Bristol Teaching Awards in the categories: “Inspiring and Innovative Teaching Award – Individual” and “Outstanding Personal Tutoring Award – Individual”.
Expert Systems with Applications
MGRC30003 Decision Analysis & Simulation (emphasis on the topics of decision making under uncertainty, multi-objective optimisation, game theory, advanced linear optimisation applications, and Monte-Carlo simulation)
EFIMM0142 Modelling Analytics (emphasis on the topics of linear, integer, and goal optimisation)
Marios is currently working on a project to develop a new managerial unit related to more advanced optimisation techniques & algorithms for the MSc Business Analytics.
Lecturer & Tutor:
EFIM20005 Management Science (emphasis on the topics of inventory theory, queuing analysis, simulation, network models, linear optimisation, and integer optimisation)
EFIMM0138 Behavioural Decision Making (emphasis on the topic of decision making under uncertainty)
EFIMM0141 Data Analytics in Business (emphasis on the topics of project management analytics and supply chain management and logistics analytics)
BSc/MSc Dissertation Supervisor:
EFIM30017 Management Dissertation
EFIMM0144 Business Analytics Consulting Project
EFIMM0070 Dissertation (MSc Global Operations and Supply Chain Management)
EFIMM0085 Dissertation (MSc Social Science Research Methods)
EFIMM0086 Dissertation (MSc Management - all pathways)