Dr Ilias Petrounias

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Position: Senior Lecturer
Academic unit: Management Sciences and Marketing


Dr Petrounias is the Organising Chair for the 7th IFIP Working Conference on Practice of Enterprise Modelling (PoEM) in 2014. He was the Programme Co-Chair for the 3rd IEEE International Conference on Intelligent Systems in 2006. He is a member of the Editorial Board of the Requirements Engineering Journal (published by Springer Verlag). He has been a Programme Committee member for a number of international conferences, including the 8th IFAC International Symposium on Computational Economics and Financial and Industrial Systems, 1st IEEE International Conference on Engineering of Intelligent Systems (ICEIS’2006), 3rd and 4th International Conference on Advances in Information Systems (ADVIS 2004 and ADVIS2006), 1st Iand 2nd nternational Conference on Global E-Security (ICGeS 05, ICGeS 06), 1st East European Conference on Health Care Modelling and Computation (HCMC 2005), 18th International Symposium on Computer and Information Sciences (ISCIS’2003).

Research Interests

Dr Ilias Petrounias researches business intellidence, with particular interests in data mining and big data analytics and competitive intelligence. The techniques developed are based on either algorithmic or neural network approaches. They have been applied in a variety of domains, including healthcare management, electricity supply prediction and food management. Recent research is concerned with data analytics for social media and data analysis of video images in business environments.

Recent research projects include:

  • ARUM (Adaptive Production Managemnet): EU/FP7 project (total funding: € 12,621,633, University of Manchester funding: € 755,860)
  • Hosted and online solution for tax software (£ 128, 236)
  • Reverse engineering and redevelopment of finacial software application (KTP project, £ 99,044)
  • Online case management and data mining of legal cases software development (KTP project, £ 105,047)
  • Flexible information systems development and e-business (KTP project, £94,320)
  • Prediction of functional properties of proteases from sequence and structure (BBSRC, £ 167,056)

Programme involvement

Specialist fields




Publication summary




Working papers

LCMNTitleYear published
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Showing 31 publication(s)


  • Alshejari, A., Kodogiannis, V., & Petrounias, I. (2015). Rapid Detection of Meat Spoilage Using FTIR and Neuro-Fuzzy Systems, In Proceedings of IEEE SAI Intelligent Systems Conference. (pp. 576-584). USA: IEEE. . Publication link: 6dba0415-2f7b-4821-bc1d-7b7046740cd7
  • Alshejari, A., Kodogiannis, V., & Petrounias, I. (2015). An Adaptive Neuro-Fuzzy Model for the Detection of Meat Spoilage using Multispectral Images. In Proceedings of the International Fuzzy Systems (FUZZ-IEEE) International Conference. (pp. 1-7). USA: IEEE. . Publication link: 6552ea4d-8e81-4cb3-96f3-51450eec053d


  • Frank, U., Loucopoulos, P., Pastor, O., & Petrounias, I. (2014). The Practice of Enterprise Modeling. (Lecture Notes on Business Information Processing: 7th IFIP WG 8.1 Working Conference, (PoEM 2014)). Springer Verlag.. Publication link: 77aa1c29-626f-41de-94f0-2ce095638fa7
  • Anwar, F., Petrounias, I., Sampaio, S., Kodogiannis, V., & Morris, T. (2014). An efficient event definition framework for retail sector surveillance systems. In MMEDIA - International Conferences on Advances in Multimedia|MMEDIA - Int. Conf. Adv. Multimedia. (pp. 37-44). International Academy, Research and Industry Association, IARIA. . Publication link: 93730116-ee15-404c-a557-731b15e03339
  • Kodogiannis, V., Petrounias, I., & Kodogianni, E. (2014). Identification of meat spoilage by FTIR spectroscopy and neural networks. In Proceedings of the 2014 International Joint Conference in Neural Networks. (pp. 1644-1651). IEEE. . Publication link: 38eceec6-2ce5-476c-aa9a-818dfa8c1a86
  • Petrounias, I., Frank, U., Loucopoulos, P., & Oscar, P. (2014). The Practice of Enterprise Modelling: 7th IFIP8.1 Working Conference, PoEM 2014. (Lacture Notes in Business Information Processing (LNBIP)). Springer Verlag.. Publication link: 47094843-8971-47e3-b735-7f9404a8be7e
  • Petrounias, I., Kodogiannis, V., Lygouras, J., Filev, D. (Ed.), Jabłkowski, J. (Ed.), Kacprzyk, J. (Ed.), ... Zadrozny, S. (Ed.) (2014). An Intelligent Based Decision Support System for the Detection of Meat Spoilage. In Advances in Intelligent Systems and Computing 323: IEEE Conf. on Intelligent Systems. (1st ed., Vol. 323, pp. 303-310). Germany: Springer Verlag. . Publication link: 1c51887e-c5ff-4b62-acd2-3018df00bded



  • Kodogiannis, V. S., & Petrounias, I. (2012). Modelling of survival curves in food microbiology using adaptive fuzzy inference neural networks. In CIMSA 2012 - 2012 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications, Proceedings|CIMSA - IEEE Int. Conf. Comput. Intell. Meas. Syst. Appl., Proc.. (pp. 35-40). USA: IEEE Press. DOI: 10.1109/CIMSA.2012.6269596. Publication link: 36ceae0f-ddc9-4d3b-972b-13be94b8fec1
  • Kodogiannis, V., & Petrounias, I. (2012). Short Term Power Load Forecasting Using Adaptive Fuzzy Inference Neural Networks. In Proceedings of IEEE International Conference on Intelligent Systems (IEEE IS'12). USA: IEEE Press. . Publication link: 1c88e3ea-f552-4cb0-8118-1f44bfc32853
  • Amina, M., Kodogiannis, V. S., Petrounias, I. P., Lygouras, J. N., & Nychas, G. J. E. (2012). Identification of the Listeria monocytogenes survival curves in UHT whole milk utilising local linear wavelet neural networks. Expert Systems with Applications, 39(1), 1435-1450. DOI: 10.1016/j.eswa.2011.08.028. Publication link: 2183cac9-5010-4aca-9ea7-2015cc25346e


  • Jahankhani, P., Kodogiannis, V. S., Lygouras, J. N., & Petrounias, I. P. (2011). A decision support system for EEG signals based on adaptive fuzzy inference neural networks. Journal of Computational Methods in Sciences and Engineering, 11(4), 209-225. DOI: 10.3233/JCM-2011-0387. Publication link: 3136d9fe-9a00-469e-a5fe-bc96b637357b


  • Anwar, F., Petrounias, I., Morris, T., & Kodogiannis, V. (2010). Discovery of events with negative behavior against given sequential patterns. In 2010 IEEE International Conference on Intelligent Systems, IS 2010 - Proceedings|IEEE Int. Conf. Intelligent Syst., IS - Proc.. (pp. 373-378). DOI: 10.1109/IS.2010.5548370. Publication link: 8a8b33db-ae42-42a7-ae72-030cad9a65f7
  • Anwar, F., Petrounias, I., Morris, T., & Kodogiannis, V. (2010). Entity appearance model generation for multimedia events in surveillance videos. In 2010 IEEE International Conference on Intelligent Systems, IS 2010 - Proceedings|IEEE Int. Conf. Intelligent Syst., IS - Proc.. (pp. 379-383). DOI: 10.1109/IS.2010.5548368. Publication link: b7946ec2-fb98-45b7-a516-ab688598ce2c


  • Kodogiannis, V., Petrounias, I., & Lygouras, J. (2009). An Intelligent Decision Support System for bacterial clinical isolates in vitro utilising an electronic nose. Intelligent Decision Technologies, 3(4), 219-231. DOI: 10.3233/IDT-2009-0057. Publication link: 7c715f1d-3618-4437-92da-81c919cbad05


  • Petrounias, I., & Wang, D. (2008). Utilisation of Organisational Concepts and Temporal Constraints for Workflow Optimisation. In Intelligent Techniques and Tools for Novel System Architectures. (pp. 19-42). Springer Verlag. . Publication link: 94c81082-05b6-4fb0-9659-aa8937c3a8fb
  • Anwar, F., Petrounias, I., Kodogiannis, V. S., Tasseva, V., & Peneva, D. (2008). Efficient periodicity mining of sequential patterns in a post-mining environment. In 2008 4th International IEEE Conference Intelligent Systems, IS 2008|Int. IEEE Conf. Intell. Syst. IS. (Vol. 3, pp. 162-1611). DOI: 10.1109/IS.2008.4670538. Publication link: 62f51c66-898c-406a-9c1b-47c3c108b785
  • Peneva, D., Tasseva, V., Popov, E., Petrounias, I., Kodogiannis, V. S., Anwar, F., & Shannon, A. (2008). Accumulation, storage and obtainment of generalized net tokens characteristics history. In 2008 4th International IEEE Conference Intelligent Systems, IS 2008|Int. IEEE Conf. Intell. Syst. IS. (Vol. 3, pp. 1629-1633). DOI: 10.1109/IS.2008.4670543. Publication link: 29fcf456-1b72-48a2-a568-573f8fdb61ec


  • Ba-Omar, H., Petrounias, I., & Anwar, F. (2007). A framework for using web usage mining to personalise e-learning. In Proceedings - The 7th IEEE International Conference on Advanced Learning Technologies, ICALT 2007|Proc. IEEE Int. Conf. Adv. Learn. Technol., ICALT. (pp. 937-938). DOI: 10.1109/ICALT.2007.13. Publication link: 933bd7c7-a527-41f8-8cd5-4a1b2e2e8b68
  • Kodogiannis, V. S., Petrounias, I., & Lygouras, J. N. (2007). Adaptive wavelet neural networks for non-linear modelling and control. Neural, Parallel and Scientific Computations, 15(2), 221-238. . Publication link: f13a6149-15bf-4c8b-a511-6ddfd39debd7


  • Kolev, B., Atanassov, K., Chountas, P., & Petrounias, I. (2006). Merging probabilistic & null values utilising an intuitionistic fuzzy relational mediator. In IEEE Intelligent Systems|IEEE Intell. Syst.. (pp. 764-770). DOI: 10.1109/IS.2006.348517. Publication link: ae08b873-0fde-4fc5-bc04-c942375db9d5


  • Anwar, F., & Petrounias, I. (2005). An algorithm for identifying patients' negative behaviour against a sequence of symptoms. In 1st East European Conference on Health Care Modelling and Computation (HCMC 2005)., Romania, August 2005... Publication link: 79189210-8648-4a1f-8fae-d2a916d73f43
  • Chountas, P., Petrounias, I., El-Darzi, E., & Kodogiannis, V. (2005). Representation of factual and temporal unawareness in electronic patient records. Journal of Computational Methods in Sciences and Engineering, 5(4), 243-261. . Publication link: 5a61e6f7-b20c-41d9-b360-2d47a869a2ec
  • Shannon, A., Riecan, B., Langova-Orozova, D., El-Darzi, E., Kerre, E., Sotirova, E., ... Tasseva, V. (2005). Generalized Net model with Intuitionistic Fuzzy Estimations of the Process of Obtaining Scientific Titles and Degrees. Notes on Intuitionistic Fuzzy Sets, 11(3), 95-114. . Publication link: 57578aea-d537-40e1-9c11-dbfb5de61445
  • Petrounias, I., Shannon, A., Langova-Orozova, D., Sotirova, E., Atanassov, K., Krawczak, M., ... Kim, T. (2005). Generalized Net Modelling of University Processes: Monograph No 7. Australia: KvB Pty Ltd.. Publication link: eeb756b2-7615-4f9f-8a44-50fa7fe09dc4


  • Shannon, A., Langova-Orzova, D., Sotirova, E., Petrounias, I., Atanassov, K., Melo-Pinto, P., & Kim, T. (2004). Generalized net model of a university's classes schedule. Advanced Studies in Contemporary Mathematics, 8 (1). . Publication link: 85fdbe81-7390-4f47-adb8-4536e004b7d2


  • Tseng, A., Petrounias, I., & Chountas, P. (2003). A complete framework for web mining. In Proceedings of the IEEE International Conference on Systems, Man and Cybernetics|Proc IEEE Int Conf Syst Man Cybern. (Vol. 1, pp. 868-873). Computer Society Press. . Publication link: 2ba8bdfa-431f-4954-98bf-57e8d4f28f59