Core Research Areas
1. Simulation & Computer Vision
To analyze operations and receive insight into complex processes, models that contain key parameters of the physical model are developed. Simulation of the computer model will represent the real-world phenomenon or systems and used to predict and visualise the behavior of the simulated systems. For example, in manufacturing it can be used to model each step in manufacturing process for overall performance optimization.
Head of Lab: Dr. Ang Mei Choo
2. Advanced Reality & HCI
Mixed reality is the merging of real and virtual worlds to produce new environments and visualizations, where physical and digital objects co-exist and interact in real time. Human Computer Interaction (HCI) is a discipline concerned with the study, design, construction and implementation of human- centric interactive computer systems. Improvements in HCI technology can lead to enhanced Virtual Reality (VR) and Augmented Reality (AR) experiences by providing more natural and efficient ways for a user to interact with a real or virtual environment.
Head of Lab: Dr. Hanif Baharin & Dr. Mohamad Hidir Mhd Salim
3. Information Systems & IoT
Information systems (IS) encompass the integration of individuals, procedures, data, and technology to facilitate the gathering, retention, analysis, and dissemination of information within organizations. The internet of things (IoT) pertains to a network of tangible devices, sensors, and software capable of interconnecting and sharing data through the internet. The emergence of IoT presents both novel prospects and complexities for IS, as they must collaborate and interact with diverse stakeholders and users of IoT devices and services. Within this fundamental research domain, referred to as ISIOT, we aim to explore pivotal facets that highlight how the ISIOT realm can contribute knowledge and foster meaningful transformations and impact.
Head of Lab: Ir. Ts. Dr. Shafrida Sahrani
4. Intelligent Data Analytics
Intelligent Data Analytics is related to research and applications of Artificial Intelligence techniques in data analysis to generate analytical result and insight from the flood of data. The field of Intelligent Data Analytics is very critical in the era of IR4.0 as it focuses on handling massive, heterogeneous, and dynamic volumes of information by extracting, classifying and analyzing data through the use of software and advanced technologies. The research field includes application domains of Big Data (BD) and Big Data Analytics (BDA): analytical reasoning, artificial intelligence, data mining, data modelling, data/information/knowledge representation, knowledge discovery, intelligence analysis, machine intelligence, pattern analysis, sentiment analysis, social computing, and information retrieval.
Head of Lab: Dr. Chaw Jun Kit
Information System & IoT
Information systems (IS) encompass the integration of individuals, procedures, data, and technology to facilitate the gathering, retention, analysis, and dissemination of information within organizations. The internet of things (IoT) pertains to a network of tangible devices, sensors, and software capable of interconnecting and sharing data through the internet. The emergence of IoT presents both novel prospects and complexities for IS, as they must collaborate and interact with diverse stakeholders and users of IoT devices and services. Within this fundamental research domain, referred to as ISIOT, we aim to explore pivotal facets that highlight how the ISIOT realm can contribute knowledge and foster meaningful transformations and impact.
The ISIOT Lab offers research, innovation, consultancy and other services on but are not limited to:
1. Technology acceptance, adoption, impact.
2. Enterprise architecture and ICT Planning.
3. Information systems design and development.
4. Business process management.
5. Web and mobile applications.
6. Automated data collection and remote analysis
7. Asset tracking and monitoring
Head of Lab: Dr. Shafrida Sahrani