Dr Inna Skarga-Bandurova

Prof., Doctor of Science

Associate Professor of Artificial Intelligence

School of Engineering, Computing and Mathematics

Role

Inna Skarga-Bandurova is an Associate Professor of Artificial Intelligence at Oxford Brookes University, School of Engineering, Computing and Mathematics (ECM).
She is also a Visiting Professor of Computer Science and Engineering at the Department of Cybersecurity, Ternopil Ivan Puluj National Technical University (TNTU), the G.E. Pukhov Institute for Modelling in Energy Engineering (PIMEE) and the Kyiv School of Economics (KSE).

Areas of expertise

Decision Intelligence and Knowledge-Based Systems
Uncertainty Modelling
Automated Reasoning and Explainable AI
Health Informatics and Clinical Decision Support
AI for Environmental Safety and Resilience

Teaching and supervision

Courses

Modules taught

Courses

Modules taught in 2025-2026

Undergraduate modules:

COMP4035 - Computer Science Applications
COMP5023 - Advanced Artificial Intelligence (Module Leader)
COMP5045 - Introduction to Artificial Intelligence (Module Leader)
COMP5045 - Enterprise Engineering
COMP6011 - Machine Learning
COMP6034 - Advanced Machine Learning and Deep Learning

Postgraduate modules:

COMP7029 - Group Software Project

Supervision

PhD Students

Current PhD students:

Michal Krezalek (Oxford Brookes University, 2023-2026)
Andrii Schur (KSE, 2024-2028)

PhD awarded: Siriak R. (2021), Krytska Y. (2021), Barbaruk L. (2021), Nesterov M. (2019), Biloborodova T. (2018), Kovalenko Y. (2018), Shumova L. (2016)

MSc Students (from 2022)

Bertoni C. (2025), Edwards C. (2025), Epp G. (2025), Mathew G. (2025), Shrifnia G. (2024), Kalloothara K. (2024), Lewis A. (2024), Niaz A. (2024), Al-Teraifi R. (2023), Mayadunnage H. (2023), Kaur N. (2023), Oyewole T. (2023), Chornyi P. (2023), Brosnan B. (2022), Vijayan J. (2022), Tran T.M.T. (2022).

Research

My research activity covers both foundational and applied aspects of decision theory, with emphasis on uncertainty modelling, decision-making frameworks, and the integration of machine learning with probabilistic reasoning.
Current work focuses on human-centric AI, multi-criteria decision analysis, and the design of autonomous decision-making systems that simulate cognitive processes. A key objective is to develop AI that operates reliably under large-scale uncertainty, enabling systems that are more adaptive, transparent, and responsive.

Research Projects

Evaluating the usability and acceptability of a prototype AI-powered enhanced recovery pathway progress dashboard (AI-ERPP dashboard) for tracking postoperative recovery by registered nurses in an elective colorectal surgical ward: a multi-centre study (May 01 2025 – Nov 31 2025).
Horizon 2020, SARAS (Smart Autonomous Robotic Assistant Surgeon), ICT-27-2017. Postdoctoral Researcher in Deep Learning for Activity Recognition within the Visual Artificial Intelligence Laboratory (Aug 09 2019 - Sept 30 2021).
Horizon 2020, RESPONSE (integRatEd Solutions for POsitive eNergy and reSilient CitiEs), LC-SC3-SCC-1-2018-2019-2020.
Horizon 2020, SPEAR (Secure and PrivatE smArt gRid), SwafS-09-2018-2019-2020.
SMART4ALL, Call Reference N°: H2020-DT-2018-2020, Knowledge Transfer Experiment (KTE) – Call 2: Analysis on Energy Balance in a Smart Grid (ANEBAS-G).
ACC-APG-RTP W911NF-22-2-0153 (2022-2024): Al Methods and Tools for Integrating Resilience Analytics and Edge Computing for Energy Systems.

Centres and institutes

Artificial Intelligence, Data Analysis and Systems (AIDAS) Institute

Groups

Visual Artificial Intelligence Laboratory (VAIL)

Projects as Principal Investigator, or Lead Academic if project is led by another Institution

Evaluating the usability and acceptability of a prototype AI-powered enhanced recovery pathway progress dashboard (AI-ERPP dashboard) for tracking postoperative recovery by registered nurses in an elective colorectal surgical ward: a multi-centre study (led by OUH NHS FT) (led by HLS) (01/05/2025 - 31/10/2025), funded by: Kings College London

Publications

Dyachenko Y, Humenna O, Soloviov O, Skarga-Bandurova I, Nenkov N, LLM services in the management of social communications
Frontiers in Artificial Intelligence 8 (2025) eISSN: 2624-8212 LLM services in the management of social communications Open Access version on RADAR
Biloborodova T, Skarga-Bandurova I, Skarha-Bandurov I, Yevsieieva Y, Biloborodov O, ECG Classification Using Combination of Linear and Non-Linear Features with Neural Network.
Studies in Health Technology and Informatics 294 (2022) pp.18-22 ISSN: 0926-9630 ECG Classification Using Combination of Linear and Non-Linear Features with Neural Network. Open Access version on RADAR
Biloborodova T, Skarga-Bandurova I, Koverha M, Skarha-Bandurov I, Yevsieieva Y, A Learning Framework for Medical Image-Based Intelligent Diagnosis from Imbalanced Datasets.
Studies in Health Technology and Informatics 287 (2021) pp.13-17 ISSN: 0926-9630 A Learning Framework for Medical Image-Based Intelligent Diagnosis from Imbalanced Datasets. Open Access version on RADAR
Skarga-Bandurova I, Biloborodova T, Skarha-Bandurov I, Boltov Y, Derkach M, A Multilayer LSTM Auto-Encoder for Fetal ECG Anomaly Detection.
Studies in Health Technology and Informatics 285 (2021) pp.147-152 ISSN: 0926-9630 A Multilayer LSTM Auto-Encoder for Fetal ECG Anomaly Detection. Open Access version on RADAR
Biloborodova T, Scislo L, Skarga-Bandurova I, Sachenko A, Molgad A, Povoroznjuk O, Yevsieiva Y, Fetal ECG signal processing and identification of hypoxic pregnancy conditions in-utero
Mathematical Biosciences and Engineering 18 (4) (2021) pp.4919-4942 ISSN: 1547-1063 eISSN: 1551-0018 Fetal ECG signal processing and identification of hypoxic pregnancy conditions in-utero Open Access version on RADAR
Biloborodova T, Skarga-Bandurova I, Kotsiuba I, Skarha-Bandurov I, Reputation-Aware Data Fusion for Quantifying Hand Tremor Severity Form Interaction with a Smartphone.
Studies in Health Technology and Informatics 281 (2021) pp.839-844 ISSN: 0926-9630 Reputation-Aware Data Fusion for Quantifying Hand Tremor Severity Form Interaction with a Smartphone. Open Access version on RADAR
Skarga-Bandurova I, Kotsiuba I, Velasco ER, Cyber Hygiene Maturity Assessment Framework for Smart Grid Scenarios
Frontiers in Computer Science 3 (2021) ISSN: 2624-9898 eISSN: 2624-9898 Cyber Hygiene Maturity Assessment Framework for Smart Grid Scenarios Open Access version on RADAR
Skarga-Bandurova I, Krytska Y, Velykzhanin A, Barbaruk L, Suvorin O, Shorokhov M, Emerging Tools for Design and Implementation of Water Quality Monitoring Based on IoT
Complex Systems Informatics and Modeling Quarterly 24 (2020) ISSN: 2255-9922 eISSN: 2255-9922 Emerging Tools for Design and Implementation of Water Quality Monitoring Based on IoT Open Access version on RADAR
Skarga-Bandurova I, Biloborodova T, Skarha-Bandurov I, Zagorodna N, Shumova L, EEG Data Fusion for Improving Accuracy of Binary Classification.
Studies in Health Technology and Informatics 258 (2019) pp.130-134 ISSN: 0926-9630 EEG Data Fusion for Improving Accuracy of Binary Classification. Open Access version on RADAR
Skarga-Bandurova I, Biloborodova T, Nesterov M, Extracting Interesting Rules from Gestation Course Data for Early Diagnosis of Neonatal Hypoxia
Journal of Medical Systems 43 (1) (2019) ISSN: 0148-5598 eISSN: 1573-689X
Dyachenko Y, Nenkov N, Petrova M, Skarga-Bandurova I, Soloviov O, Approaches to cognitive architecture of autonomous intelligent agent
Biologically Inspired Cognitive Architectures 26 (2018) pp.130-135 ISSN: 2212-683X eISSN: 2212-6848

Brosnan B, Skarga-Bandurova I, Biloborodova T, Skarha-Bandurov I, Cervical Intraepithelial Neoplasia Grading from Prepared Digital Histology Images
in Mantas J, Gallos P, Zoulias E, Hasman A, Househ MS, Charalampidou M, Magdalinou A (ed.), Cervical Intraepithelial Neoplasia Grading from Prepared Digital Histology Images, (2023) ISSN: 0926-9630 ISBN: 9781643684000 eISBN: 9781643684017
Brosnan B, Skarga-Bandurova I, Biloborodova T, Skarha-Bandurov I, An Integrated Approach to Automated Diagnosis of Cervical Intraepithelial Neoplasia in Digital Histology Images
in Hägglund M, Blusi M, Bonacina S, Nilsson L, Cort Madsen I, Pelayo S, Moen A, Benis A, Lindsköld L, Gallos P (ed.), An Integrated Approach to Automated Diagnosis of Cervical Intraepithelial Neoplasia in Digital Histology Images, (2023) ISSN: 0926-9630 ISBN: 9781643683881 eISBN: 9781643683898
Biloborodova T, Skarga-Bandurova I, Skarha-Bandurov I , Knowledge and Data Acquisition in Mobile System for Monitoring Parkinson’s Disease
in Guarda T., Anwar S., Leon M., Mota Pinto F.J. (eds) (ed.), Information and Knowledge in Internet of Things, Springer Cham (2022) ISBN: 9783030751227 eISBN: 9783030751234
Nesterov M, Kotsiuba I, Skarga-Bandurova I, Biloborodova T , Database Incident Response and Forensic Preparation Through the Performance Features
in Harmati I.Á., Kóczy L.T., Medina J., Ramírez-Poussa E. (ed.), Database Incident Response and Forensic Preparation Through the Performance Features, Springer Cham (2022) ISBN: 9783030749699 eISBN: 9783030749705
Biloborodova T, Skarga-Bandurova I, Berezhnyi O, Nesterov M, Skarha-Bandurov I, Multimodal Smartphone-Based System for Long-Term Monitoring of Patients with Parkinson's Disease
in Rocha Á, Ferrás C, Montenegro MC, Medina García V (ed.), Multimodal Smartphone-Based System for Long-Term Monitoring of Patients with Parkinson's Disease, Springer (2020) ISSN: 2194-5357 eISSN: 2194-5357 ISBN: 9783030406899 eISBN: 9783030406905
Thorisson H, Baiardi F, Salminen M, Van Erdeghem R, Sahay R, Paquin B, Heath C, Skarga-Bandurova I, Branlat M, Hummelholm A, Lambert HJ, Linkov I, Trump DB , Cyber Security Challenges to Arctic Critical Infrastructures
in Trump BD, Hossain K, Linkov I (ed.), Cyber Security Challenges to Arctic Critical Infrastructures, IOS Press (2020) ISBN: 9781643680767 eISBN: 9781643680774
Skarga-Bandurova I, Siriak R, Biloborodova T, Cuzzolin F, Singh VB, Mohamed MI, Samuel RDJ, Surgical Hand Gesture Prediction for the Operating Room
in Blobel B, Lhotska L, Pharow P, Sousa F (ed.), pHealth 2020, IOS Press (2020) eISSN: 1879-8365 ISBN: 9781643681122 eISBN: 9781643681139
Skarga-Bandurova I, Biloborodova T, Dyachenko Y, Strategy to Managing Mixed Datasets with Missing Items
in Jesús Medina J, Ojeda-Aciego M, Verdegay JL, Pelta DA, Cabrera IP, Bouchon-Meunier B, Yager RR (ed.), Strategy to Managing Mixed Datasets with Missing Items, Springer Cham (2018) ISBN: 9783319914756 eISBN: 9783319914763
Skarga-Bandurova I, Derkach M, Velykzhanin A, A framework for real-time public transport information acquisition and arrival time prediction based on GPS data
in Kharchenko V, Kor AL, Rucinski A (ed.), A framework for real-time public transport information acquisition and arrival time prediction based on GPS data, River Publishers (2018) ISBN: 9788770220149 eISBN: 9788770220132

Derkach M, Matiuk D, Skarga-Bandurova I, Biliborodova T, Zagorodna N , A Robust Brain-Computer Interface for Reliable Cognitive State Classification and Device Control
(2025) ISBN: 9798331510947 A Robust Brain-Computer Interface for Reliable Cognitive State Classification and Device Control Open Access version on RADAR
Skarga-Bandurova I, Sharifnia G, Biloborodova T, Bias detection in histology images using explainable AI and image darkness assessment
Studies in Health Technology and Informatics 327 (2025) pp.203-207 ISSN: 0926-9630 ISBN: 9781643685960 eISBN: 9781643685960 Bias detection in histology images using explainable AI and image darkness assessment Open Access version on RADAR
Biloborodova T, Skarga-Bandurova I, Derkach M, Matiuk D, Zagorodna N, Identification of salient brain regions for anxiety disorders using nonlinear EEG feature analysis
(2024) pp.180-184 eISSN: 1879-8365 eISBN: 9781643685540 Identification of salient brain regions for anxiety disorders using nonlinear EEG feature analysis Open Access version on RADAR
Velikzhanin A, Skarga-Bandurova I, A Bresenham-based Global Path Planning Algorithm on Grid Maps
(2024) pp.1-8 ISBN: 9798350396119
Boltov Y, Skarga-Bandurova I, Derkach M, A Comparative Analysis of Deep Learning-Based Object Detectors for Embedded Systems
(2023) pp.1156-1160 ISSN: 2770-4254 eISSN: 2770-4262 ISBN: 9798350358056
Honcharov V, Chornyi O, Skarga-Bandurova I, Zazhigalov V, Correlating Roughness and Implantation Characteristics in Steel: A Computer Modelling Study
(2023) pp.1161-1165 ISSN: 2770-4254 eISSN: 2770-4262 ISBN: 9798350358056
Biloborodova T, Skarga-Bandurova I, Human-AI Collaboration in Decision Making: An Initial Reliability Study and Methodology
(2023) pp.1151-1155 ISSN: 2770-4254 eISSN: 2770-4262 ISBN: 9798350358056
Biloborodova T, Brosnan B, Skarga-Bandurova I, Strauss JD , Generalization Ability in Medical Image Analysis with Small-Scale Imbalanced Datasets: Insights from Neural Network Learning
(2023) pp.234-246 ISBN: 978-3-031-49011-8
Derkach M, Skarga-Bandurova I, Matiuk D, Zagorodna N, Autonomous Quadrotor Flight Stabilisation Based on a Complementary Filter and a PID Controller
(2023) pp.1-7
Skarga-Bandurova I, Kotsiuba I, Biloborodova T, Cyber Security of Electric Vehicle Charging Infrastructure: Open Issues and Recommendations
(2023) pp.3099-3106 ISSN: 2639-1589 eISSN: 2573-2978 ISBN: 9781665480451 Cyber Security of Electric Vehicle Charging Infrastructure: Open Issues and Recommendations Open Access version on RADAR
Biloborodova T, Lomakin S, Skarga-Bandurova I, Krytska Y , Region of Interest Identification in the Cervical Digital Histology Images
LNAI 13566 (2022) pp.133-145 ISBN: 9783031164736 eISBN: 9783031164743 Region of Interest Identification in the Cervical Digital Histology Images Open Access version on RADAR
Biloborodova T., Koverha M., Skarga-Bandurova I., Yevsieiva Y., Skarha-Bandurov I., Deep Oversampling Technique for 4-type Acne Classification in Imbalanced Data
350 (2022) pp.297-306 ISSN: 2367-3370 eISSN: 2367-3389 ISBN: 9789811676185 Deep Oversampling Technique for 4-type Acne Classification in Imbalanced Data Open Access version on RADAR
Nedzelsky D, Derkach M, Skarga-Bandurova I, Shumova L, Safonova S, Kardashuk V, A Load Factor and its Impact on the Performance of a Multicore System with Shared Memory.
2 (2022) A Load Factor and its Impact on the Performance of a Multicore System with Shared Memory. Open Access version on RADAR
Povoroznyuk A, Povoroznyuk O, Skarga-Bandurova I, Application of a multiplicative model with linear partial descriptions in self-organization methods
2711 (2020) ISSN: 1613-0073 eISSN: 1613-0073 Application of a multiplicative model with linear partial descriptions in self-organization methods Open Access version on RADAR
Filatova A, Skarga-Bandurova I, Brezhniev E, Fahs M, Evaluating the effectiveness of electrocardiological study using cardiological decision support systems
2711 (2020) ISSN: 1613-0073 eISSN: 1613-0073 Evaluating the effectiveness of electrocardiological study using cardiological decision support systems Open Access version on RADAR
Derkach M, Matiuk D, Skarga-Bandurova I, Obstacle Avoidance Algorithm for Small Autonomous Mobile Robot Equipped with Ultrasonic Sensors
(2020) pp.236-241
Kotsiuba I, Skarga-Bandurova I, Giannakoulias A, Chaikin M, Jevremovic A, Technique for Finding and Investigating the Strongest Combinations of Cyberattacks on Smart Grid Infrastructure
(2020) ISBN: 978-1-7281-0859-9 eISBN: 978-1-7281-0858-2
Kotsiuba I, Skarga-Bandurova I, Giannakoulias A, Bulda O, Basic Forensic Procedures for Cyber Crime Investigation in Smart Grid Networks
(2019) pp.4255-4264 ISBN: 978-1-7281-0859-9 eISBN: 978-1-7281-0858-2
Siriak R, Skarga-Bandurova I, Boltov Y, Deep Convolutional Network with Long Short-Term Memory Layers for Dynamic Gesture Recognition
(2019) pp.158-162 ISBN: 978-1-7281-4069-8
Zubarev D, Skarga-Bandurova I, Cross-Site Scripting for Graphic Data: Vulnerabilities and Prevention
(2019) pp.154-160
Skarga-Bandurova I, Nesterov M, Biloborodova T, Krivoulya G, Kotsiuba I, Biloborodov O, Data Fusion Technique to Predicting Database Performance Issues
(2019) pp.74-81
Boltov Y, Skarga-Bandurova I, Kotsiuba I, Hrushka M, Krivoulya G, Siriak R, Performance Evaluation of Real-Time System for Vision-Based Navigation of Small Autonomous Mobile Robots
(2019) pp.218-222
Kotsiuba I, Velykzhanin A, Biloborodov O, Skarga-Bandurova I, Biloborodova T, Yanovich Y, Zhygulin V, Blockchain Evolution: From Bitcoin to Forensic in Smart Grids
(2019) pp.3100-3106
Kotsiuba I, Velvkzhanin A, Yanovich Y, Skarga-Bandurova I, Dyachenko Y, Zhygulin V, Decentralized e-Health Architecture for Boosting Healthcare Analytics
(2019) pp.113-118

Bawa VS, Singh G, KapingA F, Skarga-Bandurova I, Oleari E, Leporini A, Landolfo C, Zhao P, Xiang X, Luo G, Wang K, Li L, Wang B, Zhao S, Li L, Stabile A, Setti F, Muradore R, Cuzzolin F , The SARAS Endoscopic Surgeon Action Detection (ESAD) dataset: Challenges and methods,
(2021)
Cuzzolin F, Bawa Singh V , Skarga-Bandurova I, Mohamed M, Charles RJ, Oleari E, Leporini A, Landolfo C, Stabile A, Setti F, Muradore R, SARAS challenge on Multi-domain Endoscopic Surgeon Action Detection ,
(2021)
Singh VB, Singh G, KapingA F, Skarga-Bandurova I, Leporini A, Landolfo C, Stabile A, Setti F, Muradore R, Oleari E, Cuzzolin F, ESAD: Endoscopic Surgeon Action Detection Dataset ,
(2020) ESAD: Endoscopic Surgeon Action Detection Dataset Open Access version on RADAR
Dyachenko Y, Humenna O, Soloviov O, Skarga-Bandurova I, Cognitive agent: Digital technologies for neuromarketing and fighting fake news ,
(2020)

Further details

Centres and institutes
Inna is theme leader for AI in Healthcare at the AIDAS Institute

Groups

Dr Inna Skarga-Bandurova

Role

Teaching and supervision

Courses

Modules taught

Supervision

Research

Centres and institutes

Groups

Projects as Principal Investigator, or Lead Academic if project is led by another Institution

Publications

Journal articles

Further details