The Computational Intelligence Research Group (CIRG) is actively engaged in cutting-edge research addressing challenges in intelligent systems. Our ongoing projects focus on the computational interpretation of complex and high-dimensional data, leveraging advanced machine learning algorithms and computational modelling techniques. These projects aim to develop robust, data-driven solutions across a range of domains, contributing to the advancement of intelligent decision-making systems, pattern recognition, and predictive analytics.
Amelia Ritahani Bt. Ismail (Assoc. Prof. Ts. Dr.)
- An Enhanced Deep Learning Model With Regularisation Techniques Using Generative Adversarial Networks For Classifying The Angulation Of Impacted Mandibular Third Molar On Panoramic Radiograph
- Application of Machine Learning as A Predictive Analytic for Enhancing Infection Prevention and Control Practices in Emergency and Trauma Departments of SASMEC @IIUM
- AI-Powered Precision in Diagnosing TMJ Disorders: Automated Detection and Classification of Osseous Changes through Deep Learning
Adamu Abubakar Ibrahim (Assoc. Prof. Dr.)
- Blockchain-based Model for Deep Packet Inspection System
- A Structured Large Data Volume Heterogeneity with Minimal Incompleteness in a Big Data Analytics
Asst. Prof. Dr. Suriani Sulaiman
- Quranic Therapy for Special Needs through Solat
- Kajian Keberkesanan Program Pemulihan Dalam Komuniti
- A Hybrid Fuzzy-based Recommender Model for Detecting and Classifying Requirements Ambiguities to Improve Requirements Quality
Sharyar Wani (Dr.)
- LOGSEMCOG – An Automated System for Knowledge Base Construction
- Arabic – English Semantic Graph-Based Knowledge Representation for Al-Qur’an and Understanding Fundamentals of Extremism
- A Tripartite Fake News Detection Framework
Ahsiah Binti Ismail (Dr.)
- Vision-based vehicle detection using Deep Learning
Najhan bin Muhamad Ibrahim (Dr.)
- ETHICAL HORIZONS: NAVIGATING THE LANDSCAPE OF A.I. DEVELOPMENT
- ESSENTIALS OF MALAYSIAN COMMERCIAL LAW: A TEXTUAL APPROACH
- Developing Unified Tawhidic Paradigm Online Assessment Toolkit (e-UTP) for Malaysian SMEs
Amir ‘Aatieff Bin Amir Hussin (Dr.)
- Smart Attendance In Classroom With Facial Recognition (COBOT)
- A Hybrid Machine Learning Algorithm for Predictive Modelling of Harmful Algal Blooms Using Radial Basis Function Networks and Fuzzy Clustering
- Kajian Pembangunan Sistem Amaran Awal (EWS) Kejadian Ledakan Alga Bahaya (HAB)
Norlia Md Yusof (Dr.)
- STEAM-based approach for the Introduction to Computer Organization group project.
- Real-time automated road damages inspection using deep convolutional neural networks.
Raini Binti Hassan (Dr.)
- A Model for Skyline Queries Over Knowledge Large-Scale Uncertain and Incomplete Graphs
- Development of an Evolving Neuro-Cognitive Computational Model Based on Event-Related Potentials for Healthy Lifestyle Profiling
- Multimedia Intervention Model for Children with ADHD using Neurofeedback Therapy
Mohd Khairul Azmi Bin Hassan (Dr.)
- Smart Attendance In Classroom With Facial Recognition (COBOT)
- Development of an Evolving Neuro-Cognitive Computational Model Based on Event-Related Potentials for Healthy Lifestyle Profiling
- Multimedia Intervention Model for Children with ADHD using Neurofeedback Therapy
Hamwira Sakti Bin Yaacob (Assoc. Prof. Ts. Dr.)
- A Framework for Personalized Mental Fatigue Intervention through Brain Computer Interface (BCI)
- R.E.A.D. Program: Training Teachers to Empower Youth
- Analysis of Video Game Design Styles on Learning Aptitude Using EEG
Ahmad Anwar bin Zainuddin (Ts. Dr.)
- Smart Attendance In Classroom With Facial Recognition (COBOT)
- IIUM PalmaCount: Satellite-Based Tree Counting and Area Estimation in Palm Oil Plantations Using Deep Learning
- Innutrire (version 4): A Smart Application Software So Enhance Nutrition And Combat Malnutrition Of Critically Ill Patient