Special Teaching Staff in Data Analytics

Qualifications

PhD Computer Science (University of Cyprus, 2024)

MSc Molecular and Applied Physiology (National and Kapodistrian University of Athens, 2019)

BSc Computer Engineering with Minor in Biomedical Engineering (University of Cyprus, 2017)

Specialization

Biomedical Engineering

Employment Track

Special Teaching Staff, UCLan Cyprus (Jan 2025 – present)

Research Associate, CYENS Centre of Excellence (July 2023 – present)

Teaching Assistant, Department of Computer Science, University of Cyprus (September 2020 – December 2023)

Research Assistant, Biomedical Research Foundation of the Academy of Athens (September 2018 – January 2019)

Memberships (Academic/Professional)

• Institute of Electrical and Electronics Engineering (IEEE)
• IEEE Engineering in Medicine and Biology Society (EMBS)

Research Interests

Biomedical Engineering focused on Biomedical Imaging and Biosignal Processing Systems, Explainable Artificial Intelligence in Biomedical and Healthcare Applications

Roles and Responsibilities (including past roles and responsibilities)

Teaching and Course Leadership 

• Module Leadership/Delivery: Exploratory Data Analysis (MSc Data Analytics)

Selected Publications 

• A. Nicolaou, C. P. Loizou, M. Pantzaris, and C. S. Pattichis, “A systematic review of quantitative MRI brain analysis in multiple sclerosis disease,” IEEE Access, vol. 12, pp. 162359-162391, 2024.
• A. Nicolaou, C. Stylianides, W. A. Sulaiman, Z. Antoniou, et al., “An overview of explainable AI studies in the prediction of sepsis onset and sepsis mortality,” in Proc. Med. Inform. Europe Conf., in Studies in Health Technology and Informatics, vol. 316, 2024, pp. 808-812.
• A. Nicolaou, M. Pantzaris, C. P. Loizou, A. Kakas, and C. S. Pattichis, “An explainable AI model in the assessment of multiple sclerosis using clinical data and brain MRI lesion texture features,” in Proc. IEEE EMBS Int. Conf. Biomed. Health Inform. (BHI), Pittsburgh, PA, USA, Oct. 2023, pp. 1-4.
• A. Nicolaou, N. Prentzas, C. P. Loizou, M. Pantzaris, et al., “A comparative study of explainable AI models in the assessment of multiple sclerosis,” in Proc. Comput. Anal. Images Patterns, in Lecture Notes in Computer Science,vol. 14185, N. Tsapatsoulis, A. Lanitis, M. Pattichis, C. Pattichis, et al., Eds., Cham, Switzerland: Springer, 2023, pp. 140-148.
• A. Nicolaou, A. Kakas, C. S. Pattichis, M. S. Pattichis, et al., “An explainable artificial intelligence model in the assessment of brain MRI lesions in multiple sclerosis using amplitude modulation – frequency modulation multi-scale feature sets,” in Proc. Int. Conf. Digit. Signal Process. (DSP), Rhodes, Greece, Jun. 2023, pp. 1-4.
• A. Nicolaou, C. P. Loizou, M. Pantzaris, A. Kakas, and C. S. Pattichis, “Rule extraction in the assessment of brain MRI lesions in multiple sclerosis: Preliminary findings,” in Proc. Comput. Anal. Images Patterns, in Lecture Notes in Computer Science,vol. 13052, N. Tsapatsoulis, A. Panayides, T. Theocharides, A. Lanitis, C. Pattichis, M. Vento, Eds., Cham, Switzerland: Springer, 2021, pp. 277-286.

Selective Conference and Seminar Presentations 

• Medical Informatics Europe Conference (MIE) 2024, Presentation on ‘An overview of explainable AI studies in the prediction of sepsis onset and sepsis mortality’
• International Conference on Biomedical and Health Informatics (BHI) 2023, Presentation on ‘An explainable AI model in the assessment of multiple sclerosis using clinical data and brain MRI lesion texture features’
• International Conference on Computer Analysis and Patterns (CAIP) 2023, Presentation on ‘A comparative study of explainable AI models in the assessment of multiple sclerosis’
• International Conference on Digital Image Processing (DSP) 2023, Presentation on ‘An explainable artificial intelligence model in the assessment of brain MRI lesions in multiple sclerosis using amplitude modulation – frequency modulation multi-scale feature sets’
• International Conference on Computer Analysis and Patterns (CAIP) 2021, Presentation on ‘Rule extraction in the assessment of brain MRI Lesions in multiple sclerosis: Preliminary findings’

Scholarships/Awards

• Early-Stage Greek Woman Scientist Finalist in Engineering at She STEMs Symposium, Thessaloniki, Greece (2024)
• Best Paper Award First Place in IEEE EMBS International Conference on Biomedical and Health Informatics (BHI), Pittsburgh, PA, USA (2023)
• University of Cyprus Scholarship for PhD students (2019-2022)