
Dr Marios Kremantzis
PhD, MSc, BSc, FHEA, CMBE, AFORS
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
Senior Lecturer in Business Analytics
School of Management - Business School
Contact
Press and media
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Biography
Marios develops mathematical and AI-driven models to derive insights, benchmark performance and guide complex decisions. His research appears in Studies in Higher Education, Expert Systems with Applications, Socio-Economic Planning Sciences, Operational Research, Precision Agriculture and others, and he writes for Times Higher Education. He curates analytics-and-education streams and network-DEA workshops for OR Society, IFORS, DEA and ICBAP conferences.
He leads the BILT project “Enhancing Teaching and Learning through AI Chatbots”, evaluating how chatbots personalise support and enrich curricula. He founded and chairs the OR Society SIG “OR, Analytics & Education”, sits on its General Council and Education Sub-Committee, and is a Fellow of Higher Education Academy and Associate Fellow of the OR Society.
A multi-award-winning educator, he holds Bristol’s Outstanding Personal Tutor Award (2024) and Inspiring & Innovative Teaching Award (2023); his MSc team is shortlisted for 2025 university-wide teaching award. Southampton previously honoured him with the Doctoral College Director’s Award (2021). He guest-edited special issues on AI-enhanced student engagement for Studies in Higher Education and JUTLP, and is editing Evaluation Review’s issue on assessment in the AI era.
Research interests
Dr Marios Kremantzis is a decision scientist and Senior Lecturer in Business Analytics at the University of Bristol, where he serves as the Programme Director of the MSc Business Analytics and as Education Lead for the Technology & Operations Academic Group. He is also Co‑Editor‑in‑Chief of Intelligent Technologies in Education (ITEd), an Open Access Publishing Association journal. During his EPSRC & BAE Systems–funded PhD in Management Science at the University of Southampton, he honed expertise in optimisation, Data Envelopment Analysis (DEA), efficiency measurement, and multi‑criteria decision analysis. Since joining Bristol, he has extended this quantitative foundation to new domains related to employability analytics, Generative AI (GenAI), Agentic AI (AgAI), student engagement & support, and innovation in higher education, integrating advanced analytics with pedagogical research.
Marios’s methodological expertise centres on constructing and applying mathematical and AI‑enabled models to extract actionable insights, benchmark performance, and support complex, multi‑stakeholder decisions. He has published in high-impact journals such as Studies in Higher Education, Expert Systems with Applications, Socio‑Economic Planning Sciences, Operational Research, Journal of University Teaching & Learning Practice, Journal of Applied Learning & Teaching, Journal of Air Transport Management, RAIRO‑Operations Research, Precision Agriculture, and Supply Chain Analytics, while engaging broader audiences through Times Higher Education and other professional magazines. He regularly curates analytics‑and‑education streams and network‑DEA workshops for flagship international conferences such as the UK's OR Society, IFORS, DEA, ICBAP, OAPA, and ATINER building bridges between cutting‑edge research and practice.
He is currently the Principal Investigator on a Bristol Institute for Learning & Teaching (BILT) Education Development Project entitled “Enhancing Teaching and Learning through AI Chatbots in Higher Education”, designed to generate robust, evidence‑based insights into how chatbots can enrich curriculum delivery and elevate the student experience through personalised, agentic support. He founded and chairs the OR Society Special Interest Group “OR, Analytics & Education”, sits on the Society’s General Council and Education Sub‑Committee, is a Fellow of the Higher Education Academy (FHEA), and Associate Fellow of the OR Society (AFORS).
A multi‑award‑winning educator, Marios received the University of Bristol Business School’s Outstanding Personal Tutor Award (2024) and the Inspiring and Innovative Teaching Award at the Bristol Teaching Awards (2023), with multiple nominations between 2021 and 2024. In 2025, his MSc Business Analytics teaching team was one of only three teams shortlisted university‑wide for the Inspiring and Innovative Teaching Team Award. Earlier, the University of Southampton recognised his pedagogical leadership with the Doctoral College Director’s Award (2021).
He served as Guest Editor for special issues on AI‑enhanced student engagement in Studies in Higher Education and the Journal of University Teaching & Learning Practice, and is currently Guest Editor for Evaluation Review’s special issue "Evaluation and Assessment for Teaching and Training in the Era of AI".
PhD Supervision:
Marios welcomes prospective PhD candidates who aspire to advance the frontiers of operations research, business analytics, and AI‑enabled decision science. He is particularly keen to supervise projects that:
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develop or apply prescriptive analytics, optimisation, or multi‑criteria decision‑making frameworks;
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extend efficiency and productivity measurement, especially Network Data Envelopment Analysis (NDEA), into new sectors or methodological directions;
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harness employability analytics to inform strategic talent development and labour‑market policy;
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leverage Generative AI (GenAI) and Agentic AI (AgAI) to personalise learning, enhance student engagement, or reimagine higher‑education operations.
Applicants with a strong quantitative background and a drive to generate actionable, high‑impact insight are strongly encouraged to get in touch.
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
01/04/2025Integrating circular economy principles into a modified theory of Planned Behaviour
Socio-Economic Planning Sciences
Moneyball
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
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