Dr Marios Kremantzis
PhD, MSc, BSc, FHEA, CMBE
Expertise
Mario's teaching and research interests lie within the fields of management science and optimisation with particular emphasis on (network) data envelopment analysis and multiple-criteria decision-making techniques.
Current positions
Lecturer in Business Analytics
School of Management - Business School
Contact
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Biography
Marios’ research interests lie in the fields of Data Envelopment Analysis (DEA) and multi-criteria decision analysis. He has substantial experience in building and applying mathematical models to understand what the data is saying and then creating real-world solutions. 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 been published in world-leading journals such as Studies in Higher Education, Expert Systems with Applications, Socio-Economic Planning Sciences, RAIRO-Operations Research, Journal of Air Transport Management, and Supply Chain Analytics. He has also organized special sessions for the conferences of the OR Society, DEA45, and the Athens Institute for Education and Research. 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.
Furthermore, Marios is the Founder and Chair of the OR, Analytics & Education SIG within the OR Society and a Fellow of the Higher Education Academy. He is an Associate in the theme of designing active learning sessions at the Bristol Institute for Learning & Teaching. He has distinguished himself for innovative teaching and assessment practices, which led to his win in 2023's Bristol Teaching Awards: “Inspiring and Innovative Teaching Award”. Marios acts as the Guest Editor of two SIs on the enhancement of student engagement using Artificial Intelligence in the "Studies in Higher Education" and the "Journal of University Teaching and Learning Practice".
Research interests
Marios Kremantzis serves as a Lecturer (Assistant Professor) in Business Analytics and holds the roles of Programme Director for MSc Business Analytics and that of Senior Tutor at PGT Team at the University of Bristol. With a Ph.D. in Management Science from the University of Southampton (received funding from EPSRC and BAE Systems) Marios specialises in Network Data Envelopment Analysis (DEA).
Marios is a decision scientist whose research focuses on optimisation, DEA, efficiency measurement, and multi-criteria decision analysis. His extensive experience involves constructing and applying mathematical models to extract insights from data and devise practical solutions. Proficient in assessing systems with various network structures using the DEA technique, he has published his work in esteemed journals including Studies in Higher Education, Expert Systems with Applications, Socio-Economic Planning Sciences, Operational Research, Journal of University Teaching & Learning Practice, RAIRO-Operations Research, Agriculture, Supply Chain Analytics, and Precision Agriculture. Marios has organised special sessions for leading international conferences such as those by the UK's OR Society, IFORS, DEA45, and the Athens Institute for Education and Research. He has presented his research work in eminent international conferences and workshops across the UK, Australia, Denmark, South Korea, and Greece.
Marios, Founder and Chair of the "OR, Analytics & Education" SIG within the OR Society, is a Fellow of the Higher Education Academy (FHEA) and a National Representative on the General Council of the UK's OR Society. He plays a key role in the Education sub-committee. Known for innovative teaching, pedagogical research on GenAI and its impact on the transformative role of HE, authentic assessments, and technology integration within and outside classroom (including Chatbot use & Team-Based Learning), he won the "Outstanding Personal Tutor Award" at UoB Business School (2024) and the "Inspiring and Innovative Teaching Award" (2023) at the Bristol Teaching Awards, with multiple nominations across 2021-2024. His teaching excellence was also recognised by the University of Southampton with the "Doctoral College Director's Award" (2021). Marios has served as Lead Guest Editor for Special Issues on AI-enhanced student engagement in "Studies in Higher Education" (ABS3*) and the "Journal of University Teaching and Learning Practice".
PhD Supervision:
Marios demonstrates a keen interest in supervising Ph.D. students who share a fervor for operations research and business analytics. He particularly seeks candidates who possess a strong inclination toward prescriptive analytics, efficiency and productivity measurement (including Network Data Envelopment Analysis), and/or multi-criteria decision-making techniques. If you have a robust foundation in these domains and an eagerness to contribute to cutting-edge research, Marios wholeheartedly encourages you to consider applying under his guidance.
Publications
Selected publications
01/01/2022A fairer assessment of DMUs in a generalised two-stage DEA structure
Expert Systems with Applications
Measurement and evaluation of multi-function parallel network hierarchical DEA systems
Socio-Economic Planning Sciences
R&D Performance Evaluation in the Chinese Food Manufacturing Industry Based on Dynamic DEA in the COVID-19 Era
Agriculture
Assessing efficiency differences in a common Agriculture Decision Support System: A comparative analysis between Greek and Italian durum wheat farms
International Journal on Food System Dynamics
A ranking framework based on interval self and cross-efficiencies in a two-stage DEA system
RAIRO - Operations Research
Recent publications
28/08/2024Moneyball
Business Analytics and Decision Making in Practice
Understanding ethics approval in academic research
Embracing fairness within a cross-efficiency hierarchical network DEA system
Operational Research
Performance evaluation of the global airline industry under the impact of the COVID-19 pandemic
Journal of Air Transport Management
Promoting excellence or discouraging mediocrity – a policy framework assessment for precision agriculture technologies adoption
Precision Agriculture
Teaching
MSc Business Analytics
Unit Director:
MGRC30003 Decision Analysis & Simulation (decision trees & payoff tables, multi-objective optimisation, game theory, advanced linear optimisation applications, Monte-Carlo simulation)
EFIMM0142 Modelling Analytics (linear/integer/multi-objective/network optimisation)
MGRCM0021 Optimisation & Algorithms (simplex algorithm, branch-and-bound and cutting plane algorithms, Dantzig-Wolfe and Benders decomposition algorithms, dynamic programming, markov processes, (Network) Data Envelopment Analysis and other advanced model-building processes)
Lecturer:
EFIM20005 Management Science (project management analytics, supply chain management, and logistics analytics)
UG/PG Dissertation Supervisor:
EFIM30017 Management Dissertation
EFIMM0143 Applied Research Project in Business Analytics
EFIMM0144 Business Analytics Consulting Project