Information System Design: Cognitive Computing Applications

Proceedings of 10th International Conference on Information System Design and Intelligent Applications (ISDIA 2026), Volume 6
Erscheinungsjahr 2026
ISBN: 978-3-032-38229-0
Verlag: Springer

Buch, Englisch, 237 Seiten, Format (B × H): 155 mm x 235 mm

Reihe: Lecture Notes in Networks and Systems

This book presents a collection of high-quality, peer-reviewed research papers from 10th International Conference on Information System Design and Intelligent Applications (ISDIA 2026), held in Dubai, UAE, from 7–8 February 2025. It covers a wide range of topics in computer science and information technology, including data mining and data warehousing, high-performance computing, parallel and distributed computing, computational intelligence, soft computing, big data, cloud computing, grid computing, cognitive computing, and information security.

Zielgruppe

Research

Autoren/Hrsg.

Bhateja, Vikrant

ElNekiti, Abdalla

Tang, Jinshan

Omar, Zaid

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik

Inhaltsverzeichnis

Implications of Predictive Policing and AI: A Case Study on Bhubaneswar–Cuttack Commissionerate of Odisha.- From Observation to Intelligence - Proposing A Conceptual Framework for Computer Vision and Gaze Analytics Adoption for Customer Profiling and Preferences within the Quick Service Restaurants Industry.- The Technological Advancement Leading to Sensory Misperception: An Alarming Phenomena among Info -Tech Employees.- Brainwaves to Well-being: A Comprehensive Framework for Addressing India's Student Mental Health Crisis - An Integrated Neurotechnology Approach.- Threshold Modeling for Dynamic Precision Enhancement in Deep Learning-Based Anti-Money Laundering Systems.- Attention-Enhanced ResNet for Detection of Psychological Distress in Neutral Facial Expressions.- Optimization of Educational Resources Using an Innovative Artificial Intelligence Algorithm.- Cybersecurity Policies Interpreter Tool.- Cognitive and Affective Dimensions of AI Use among Students in Higher Education: An Exploratory Study on Emotional Well-being.- A Survey of Temporal and Cross-Log Correlation Techniques for Detecting Distributed Intrusion Behaviors.- Advanced Machine Learning Algorithms for Dynamic and Interactive Predictions on Property Evaluation and Valuation.- Refining Dermatological Image Investigation with Mean-Shift Clustering.- Enhanced Multiclass Intrusion Detection on UNSW-NB15 Using SMOTE and Hybrid Classifiers.- Formalizing Value Ontologies for Smart City Projects in Isabelle/HOL.- Digital Twin for Sustainable Management of World Heritage Sites in Vietnam: A Proposed Framework.- Etc.

Über Autor(innen)

Vikrant Bhateja is associate professor in Department of Electronics Engineering Faculty of Engineering and Technology (UNSIET), Veer Bahadur Singh Purvanchal University, Jaunpur, Uttar Pradesh, India. He holds a doctorate in ECE (Bio-Medical Imaging) with a total academic teaching experience of 20 years with around 190 publications in reputed international conferences, journals and online book chapter contributions; out of which 39 papers are published in SCIE indexed high impact factored journals. One of his papers published in Review of Scientific Instruments (RSI) Journal (under American International Publishers) has been selected as “Editor Choice Paper of the Issue'' in 2016. Among the international conference publications, four papers have received “Best Paper Award''. He has been instrumental in chairing/co-chairing around 30 international conferences in India and abroad as Publication/TPC chair and edited 52 book volumes from Springer-Nature as a corresponding/co-editor/author on date.

Abdalla Elnekiti is a dedicated Instructor in the School of Engineering and Computer Science at The University of Wollongong in Dubai. With a strong background in Artificial Intelligence (AI) and Data Science, he is a professional trainer and instructor who has worked extensively in Higher Education over the past five years, focusing on AI, data-driven decision-making, and technology change. He is known for his commitment to student success, creating engaging activities, and using real-world examples to make learning practical and relevant. At the University of Wollongong in Dubai, he teaches a range of AI courses and serves as the Project Manager for the university's first AI Laboratory, where he mentors students in LLM development and Computer Vision research. He also previously led similar efforts for a Data Analytics Bachelor's program at the Higher Colleges of Technology. His research interests are evident in his publications, which include studies on the use of Blockchain Technology in the education sector and a COVID-19 Quality Prediction Model based on IBM Watson Machine Learning and AI. He is also scheduled to present at the 9th International Conference on Information System Design and Intelligent Applications with research on AI-Based Learning Analytics in MENA Higher Education.

Jinshan Tang is a professor of Health Informatics in the Department of Health Administration and Policy. Before joining George Mason University, Dr. Tang was a full professor in the College of Computing at Michigan Technological University and a Founding Director of the Joint Center for Biocomputing and Digital Health. Dr. Tang’s research covers broad areas related to image processing and artificial intelligence. His specific research interests include biomedical image analysis, biomedical imaging, artificial intelligence in medicine (e.g., computer-aided cancer detection, AI for COVID-19 detection). He has obtained over three million dollars grants as a PI or Co-PI and has published more than 110+ refereed journal and conference papers. He has also served as a committee member at various international conferences. He is a senior member of IEEE and a Co-chair of the Technical Committee on Information Assurance and Intelligent Multimedia-Mobile Communications, IEEE SMC society.

Zaid Omar (Senior Member, IEEE) received the master’s degree in data communications from The University of Sheffield and the Ph.D. degree in electrical engineering from the Imperial College London, in 2012. He is currently an Associate Professor with Universiti Teknologi Malaysia. His research interests include computer vision, medical imaging, and image fusion. Dr. Omar was crowned the best science communicator for FameLab Malaysia 2017-- one of the biggest science communication competitions in the world organised by British Council.