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 Management (and pathways) with over 700 students, co‑chairs the Business Education Research & Scholarship (BERS) Network, and serves 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, Journal of Global Information Management, Sustainable Development, 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 Lecturer Award (2025), 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:

• develop or apply prescriptive analytics, optimisation, or multi‑criteria decision‑making frameworks;

• extend efficiency and productivity measurement, especially Network Data Envelopment Analysis (NDEA), into new sectors or methodological directions;

• harness employability analytics to inform strategic talent development and labour‑market policy;

• 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.