Professor Georgios Samakovitis MEng, MSc, MBA, PhD, SFHEA

Professor of Financial Technology, Deputy Head of School

Key details

Professor Georgios Samakovitis

Professor of Financial Technology, Deputy Head of School


Georgios holds a MEng in Computer Engineering, MSc in Data Networks and an MBA. His early research work focused on AI for 3D medical image processing and reconstruction, as part of the Greek Ministry of Health Research Fund. His PhD at the University of Edinburgh focused on banking technology investment decisions in the dot-com boom and bust periods (1999-2004). His current work concentrates on banking and payment systems technologies, Enterprise Architectures Machine Learning in FinTech. Most recent projects investigated the uses of AI in anti-money laundering (AML) and financial transaction fraud assessment, including the development of Collective Intelligence for AML in financial ecosystems. Ongoing work includes the investigation into developments in cryptocurrency (Decentralised Virtual Asset Class) markets. Georgios currently supervises 2 PhD projects on anti-money laundering in blockchain-based transaction ecosystems (cryptocurrencies), knowledge management in healthcare and mobile governance. He supervises MSc and BSc projects and teaches Strategic IT, Data Modeling and Enterprise Architectures in MSc and BSc programmes and designed and delivered short courses in these areas. Georgios is a member of the FinCrime working group of the UK Payments Strategy Forum and the HMG Cabinet Office Advisory Group on Counter Fraud Data Sharing & Data Analytics; He is a Senior Fellow of the UK HEA and a member of the ESRC Global Challenge Research Fund (GCRF) peer review panel

Responsibilities within the university

Module Leader

  • Scholarly and Academic Practice
  • Project (Computing)
  • Department of Information Systems & Multimedia Undergraduate Project
  • Project: UG Programmes in the Department of CST
  • Diploma in Industrial Studies
  • Final Year Projects
  • Professionalism For Cyber Security Practitioners
  • Blockchain for FinTech Applications
  • Technologies for Anti-Money Laundering and Financial Crime
  • Work Placement Course

Recognition

FinCrime working group of the UK Payments Strategy Forum (2017-17)

Member of the HMG Cabinet Office Advisory Group on Counter Fraud Data Sharing & Data Analytics

Senior Fellow of the UK HEA

Member of the ESRC Global Challenge Research Fund (GCRF) peer review panel

TOGAF 9.1 Certification

Research / Scholarly interests

Blockchain, FinTech, Artificial Intelligence, Complex Network Analysis, Anti-Money Laundering, Cryptocurrencies, Financial Fraud, Enterprise Architectures, Knowledge Management

Recent publications

Article

Pogiatzis, Antreas and , Samakovitis, Georgios (2020), An event-driven serverless ETL pipeline on AWS. MDPI. In: , , , . MDPI, Applied Sciences, 11: 191 (1) 2076-3417 (Online) (doi: https://doi.org/10.3390/app11010191).

Pogiatzis, Antreas and , Samakovitis, Georgios (2020), Using BiLSTM networks for context-aware deep sensitivity labelling on conversational data. MDPI. In: , , , . MDPI, Applied Sciences, 10: 8924 (24) 2076-3417 (Online) (doi: https://doi.org/10.3390/app10248924).

Petridis, Miltos , Kapetanakis, Stelios, Samakovitis, Georgios, Ekpenyong, Francis (2020), Towards the ensemble: IPCBR model in investigating financial bubbles. European Open Access Publishing. In: , , , . European Open Access Publishing, European Journal of Electrical Engineering and Computer Science, 4 (4) . pp. 1-7 2506-9853 (Online) (doi: https://doi.org/10.24018/ejece.2020.4.4.193).

Samakovitis, Georgios and , (2015), Why better models do not always lead to better decisions. In: , , , . , The Banker (doi: http://www.thebanker.com/Banking-Regulation-Risk/Management-Strategy/Why-better-models-do-not-always-lead-to-better-decisions?ct=true).

Book section

Ekpenyong, Francis , Samakovitis, Georgios, Kapetanakis, Stylianos, Petridis, Miltos (2021), Case retrieval with clustering for a case-based reasoning and inverse problem methodology: an investigation of financial bubbles. Springer Link. In: The International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery, 24-26 July 2021, The International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery In: Hongying Meng, Tao Lei, Maozhen Li, Kenli Li, Ning Xiong, Lipo Wang (eds.), Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery. Springer Link, Cham and New York , 88 (1st) . pp. 1515-1524 . ISBN: 9783030706647 ; 9783030706654 (doi: https://doi.org/10.1007/978-3-030-70665-4_164) NB Item availability restricted.

Conference proceedings

Pogiatzis, Antreas and , Samakovitis, Georgios (2022), A systematic local fork management framework for blockchain sandbox environments. Springer Link. In: , , In: Andrea Marrella, Raimundas Matulevičius, Renata Gabryelczyk, Bernhard Axmann, Vesna Bosilj Vukšić, Walid Gaaloul, Mojca Indihar Štemberger, Andrea Kő, Qinghua Lu (eds.), Business Process Management: Blockchain, Robotic Process Automation, and Central and Eastern Europe Forum BPM 2022 Blockchain, RPA, and CEE Forum, Münster, Germany, September 11–16, 2022, Proceedings. Springer Link, Cham, Switzerland International Conference on Business Process Management, 459 (1st) . pp. 36-50 . ISBN: 9783031161674; 9783031161681ISSN: 1865-1348 (Print), 1865-1356 (Online) (doi: https://doi.org/10.1007/978-3-031-16168-1_3) NB Item availability restricted.

Lansley, Merton , Polatidis, Nikolaos, Kapetanakis, Stylianos, Amin, Kareem , Samakovitis, Georgios , Petridis, Miltos (2019), Seen the villains: detecting social engineering attacks using case-based reasoning and deep learning. CEUR. In: , , In: Stylianos Kapetanakis, Hayley Borck (eds.), Workshops Proceedings for the Twenty-seventh International Conference on Case-Based Reasoning: Case-based reasoning and deep learning workshop. Case-Based Reasoning and Deep Learning Workshop (CBDRL-2019). September 8-12 2019, Otzenhausen Germany. CEUR, Otzenhausen Germany , 2567 (1st) . pp. 39-48 ISSN: 1613-0073 (Print), 1613-0073 (Online) (doi: http://ceur-ws.org/Vol-2567/paper4.pdf).

Ekpenyong, Francis , Samakovitis, Georgios, Kapetanakis, Stelios, Petridis, Miltos (2019), An Ensemble Method: Case-Based Reasoning and the Inverse Problems in Investigating Financial Bubbles. Springer. In: , , , Cognitive Computing – ICCC 2019. Springer, Switzerland , 11518 . pp. 153-168 . ISBN: 9783030234065ISSN: 0302-9743 (Print), 1611-3349 (Online) (doi: https://doi.org/10.1007/978-3-030-23407-2_13).

O’Connor, Daniel , Kapetanakis, Stelios, Samakovitis, Georgios, Floyd, Michael , Ontañon, Santiago , Petridis, Miltos (2018), Autonomous swarm agents using case-based reasoning. Springer. In: International Conference on Innovative Techniques and Applications of Artificial Intelligence, , In: Max Bramer, Miltos Petridis (eds.), Artificial Intelligence XXXV: 38th SGAI International Conference on Artificial Intelligence, AI 2018, Cambridge, UK, December 11-13, 2018, Proceedings. Springer, Cham . pp. 210-216 . ISBN: 9783030041908 (doi: https://doi.org/10.1007/978-3-030-04191-5_20).

Adedoyin, Adeyinka , Kapetanakis, Stelios, Samakovitis, Georgios, Petridis, Miltos (2017), Predicting fraud in mobile money transfer using case-based reasoning. Springer, Cham. In: , , In: Max Bramer, Miltos Petridis (eds.), Artificial Intelligence XXXIV: 37th SGAI International Conference on Artificial Intelligence. Springer, Cham, , 10630 . pp. 325-337 . ISBN: 9783319710778ISSN: 0302-9743 (Print), (doi: https://doi.org/10.1007/978-3-319-71078-5_28).

Hossain, Md Shahid , Samakovitis, Georgios, Bacon, Liz, MacKinnon, Lachlan (2016), A conceptual framework for design of mobile governance in developing countries: The case of Bangladesh. IEEE. In: , , , 2015 18th International Conference on Computer and Information Technology (ICCIT). IEEE, . pp. 161-166 . ISBN: 9781467399302 (doi: https://doi.org/10.1109/ICCITechn.2015.7488061).