Description
This book includes high-quality papers presented at 19th International Conference on Information Technology and Applications (ICITA 2025), held in Oslo, Norway, during October 14 16, 2025. The book presents original research work of academics and industry professionals to exchange their knowledge of state-of-the-art research and development in information technology and applications. The topics covered in the book are cloud computing, business process engineering, machine learning, evolutionary computing, big data analytics, Internet of things and cyber-physical systems, information and knowledge management, computer vision and image processing, computer graphics and games programming, mobile computing, ontology engineering, software and systems modeling, human computer interaction, online learning /e-learning, computer networks, and web engineering.
Development of methods for identifying audio and video materials of an ideological nature in social networks.- Graph-Based Algorithm for Detecting Label Noise in Cervical Cytology Images.- Multiclass Detection of Harmful Content in Kazakh Using Traditional and Transformer-Based Models.- Automation of Tedious Typing: Recognition of Handwritten Points on Exam Cover Sheets.- Finding the Perfect Research Collaborator: Partner Selection Based on Technological Fit.- Exploiting GPT-based AI to Support Open Badge Design and Management: The University of Turin Experience.- Designing Effective MOOCs through a Custom GPT Framework: A case study on human-AI collaboration in instructional design at the University of Turin.- Monitoring and Predicting Indoor Air Quality: An IoT and ML-Based Approach.- Blockchain in Healthcare: A Qualitative Case Study of the Perceived Usefulness, Trust and Digital Literacy of a Portuguese Healthcare Institution.- EmoPAtt-Lite: Lightweight Facial Emotion Recognition.- Factors Influencing the Tender Award Process of e-Government Procurement (e-GP): The Case of Bangladesh.- Sinc Neural Network via Particle Swarm Optimization for Blood Cancer Segmentation.- Leveraging LSTM and Sentence Embeddings for Automated Classification of Legal Documents.- Adaptive Bayesian Thompson Sampling with Gaussian Processes in E-commerce.- Innovation and business models in the video game industry.- Enhancing Air Traffic Safety: Classifying Air Traffic Controller Fatigue and Workload Using Eye Tracking and Machine Learning.- Analysis of E-Commerce Category Distributions Across Gulf Countries.- Feature-Based Automated Staging of Engineered Stone Silicosis Severity from Chest CT Using Lesion Detection.- Deep Feature Extraction Combined with Random Forest for Kiwi Leaf Disease Detection.- Addressing Bedtime Procrastination with Behavioural Technology: Introducing SleepSync.- Federated Learning for Secure and Privacy Preserving AI in Wearable Health Monitoring Systems.- Advanced Process Dumping for Paged-Out Memory Pages.- AI-Driven PCOS Detection with ResNet50 for Ultrasound Imaging: Precision Classification Using Deep Learning.- What Influences Different Educational Levels of Thai Students to Use AI Chatbots for Their Studies?.- Mathematical Modeling of the Use of Blockchain in Financial Systems.- Detection and mitigation of prototype pollution vulnerability at runtime: a systematic mapping study.- Through the Looking Glass: Reflections of Turkish Software Professionals on Daily Work Challenges, Generation Z Employees, and Gender Inequality.- LGLD-Net: A Lightweight Global and Local feature-based Dual-stream Neural Network for Microscopic Medical Image Classification.- Towards Secure Machine Learning: Preventing Data Poisoning and Model Inversion in AI Pipelines.- Towards Understanding the Technical Challenges in AI- and ML-Driven Code Generation for Educational Applications: A Data-Driven Empirical Analysis.- Enhancing Mobile AI: Feature-Based Knowledge Distillation for Efficient Image Classification.- Novel local and graph-based neural networks enhance link prediction for protein-protein interactions.- Enhancing Organizational Resilience Through Information Security Performance Measurement: A Structured Approach.- Data Science Projects: A Systematic Literature Review on Characteristics, Implementation, and Challenges.- Gender Bias in Human-Computer Interaction: A Review.- Hybrid Deep Learning Approach for Hate Speech Detection in Low-Resource Languages.- A Schema for Ethical Integration of IoT and CPS in the Industry 5.0 Context.- Shared Fate: Finite-State Compartmental Modelling (SUEICRN) and iLTR for CrossSector Cascading Risk.- Measuring Malware Infectious Potential: Cross-Family Estimates of R and K.
Dr. Abrar Ullah is an associate professor and director of Postgraduate Studies at the School of Mathematical and Computer Sciences, Heriot-Watt University, Dubai Campus. He holds an M.Sc. in Computer Science (2000) from the University of Peshawar and a Ph.D. in Security and Usability from the University of Hertfordshire, UK. Dr. Ullah has over 25 years of experience in both industry and academia, with a strong background in teaching and enterprise systems development. He began his teaching career in 2002 as a lecturer at the University of Peshawar and the Provincial Health Services Academy, Peshawar. In 2008, he joined ABMU NHS UK as a lead developer, contributing to several key NHS systems. In 2011, Abrar joined professional services at Cardiff University as Team Lead & Senior Systems Analyst and led a number of successful strategic and national level projects.
Dr. Sajid Anwar is a professor and head of the School of Computer Science and IT at IMSciences, Peshawar. He earned his M.S. in Computer Science (2007) and Ph.D. in Software Engineering (2011) from NUCES-FAST, Islamabad. A leading expert in software architecture and maintenance prediction, his research spans search-based software engineering, prudent-based systems, customer analytics, active learning, and applied machine learning. He has published 60+ articles in top-tier venues and has supervised several Ph.D. and Master's theses. Dr Anwar serves as an associate editor for Computers & Electrical Engineering (Elsevier), PLOS ONE, Expert Systems (Wiley), and Network (Taylor & Francis) and has guest-edited several Springer and Wiley journals. He is a board member of iCatse.org, Korea. He held international leadership roles, including General Chair of ICITA 2025 and Workshop Chair for AAAI 2025 and APSEC/ASE-associated workshops (ISEA, NLP-SEA). He has led collaborative projects with academia and government organizations, emphasizing impactful, interdisciplinary research.
