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.

• 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 Rₜ 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.

• 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 Rₜ 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.

• 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 Rₜ and K.