Centre for Computational Intelligence (CCI)
RC Lead: Dr. Goh Ching Pang
Location: Computational Intelligence Research Laboratory, B001C, Block B, TAR UMT Main Campus
What is Computational Intelligence ?
It stands for a sub-domain of Artificial Intelligence that endows the ability for a computer or machine to learn and perform any intellectual task, similar to a human being.
What we do ?
To explore on designing algorithm and techniques that close to the human’s way of reasoning, i.e. utilizes inexact and incomplete knowledge and performs control actions in an adaptive way. Image and video processing, data mining, natural language processing, artificial intelligence, computer vision processing, robotics and human computer interaction seek the similar goals with Computational Intelligence. It is a way of performing like human beings and most of the time heavily used to perform reasoning and decision making processes.
What we aim for ?
To research and integrate the nature-inspired intelligence methodologies into the computer systems to address the complex real-world problems.
There are four sub-groups:
AI is a general term that implies the use of computer to model and / or replicate intelligent behaviour. AI research focuses on the development and analysis of algorithms that learns and / or performs intelligent behaviour with minimal human intervention. These techniques have been and continue to be applied to a broad range of solution in robotics, e-commerce, medical diagnosis, gaming, mathematics, etc. Specifically, research is being conducted in estimation theory, mobility mechanism, active computer vision and so on.
CV processing works on the computer-based interpretation of 2D and 3D image data set from conventional and nonconventional image sources. It involves the field of Medical Image Analysis, Visualization, Object recognition, Gesture Analysis, Facial Expression, Tracking and Scene understanding and modelling, etc.
Robotic Group
Robotic research is involved in research pertaining to all aspects of robotic manipulation, controls and developing Socially Assistive Robots. Our primary focus is to engineer robots that can operate and interact with humans in unstructured environment. Furthermore, human motion and models development is focused. The current project is working on capturing elegant human motion, improve the system and robot programming in Python language.
Human Computer Interaction (HCI) Group
HCI group aims to bridge gap between the human and digital world. Thus, we explore the possibilities to reduce the gap by integrating emerging technologies (e.g., new affordance of the Internet of Things) into our interaction design and solution, with new affordances . Beside, human factors such as human behavior, cognitive psychology, culture, environment, etc will be taken into consideration during the design process, as human/users is the centre of this field of study.
Led by Dr. Lim Khai Yin
Led by AP Ts Dr Tew Yiqi
Led by Mr. Wong Hon Yoon
Led by Dr. Aw Kien Sin
Achievement in the past
Computational Intelligence Research Lab is working towards to set up the facilities and take opportunity for supporting innovative development through undergraduate final year projects, projects in postgraduate programmes offered by TAR UMT.
2022: Enveloped Digital Document Recognition with Optical Character Recognition (OCR) Technology by Dr Tew Yiqi (obtained RM 100,000 from TAR UMT internal grant)
2020: Installation of high-end computer terminals and infrastructure for Artificial Intelligence (AI) and Big Data Analytics (BDA) related Research and Development, talent development and conducting public training or workshops by Dr Lim Yee Mei (obtained RM399k under RMK11)
2020: Interactive Dashboard with Visual Sensing and Zero-shot Learning Capabilities by Dr Chaw Jun Kit and Dr Tew Yiqi (obtained RM58,200 from TAR UMT internal grant)
2020: Smart Autonomous Drone System for Building Inspections by Ts Ong Jia Hui (obtained RM 4,000 from Hilti (Malaysia) Sdn Bhd)
2019: Obtained competition award from Hilti (malaysia) Sdn Bhd on the project title: Building Condition Evaluation through Crack Detection, by Dr Chaw Jun Kit and a final year project student (obtained RM 4,000 industrial grant)
2019: Collaborated with Asia Roofing Industries Sdn Bhd on the project title: Intelligent Materials and Manufacturing Planning System, by Dr Chaw Jun Kit and a postgraduate student (obtained RM 92,000 industrial grant)
2018: Collaborated with Hotayi Electronic (M) Sdn Bhd in Image Processing Automation (Optical Character Recognition) and Parts Supply Chain Automation (Purchase Order Matching System), by Ts Dr Tew Yiqi, Ms Choon Kwai Mui, and a team of Final Year Project students (obtained RM100,000 industrial grant, co-work with another 4 FOCS and FOET projects)
2018: Collaborated with Kian Joo Can Factory Berhad on the project title: Intelligent Materials and Manufacturing Planning System, by Dr Lim Yee Mei and a postgraduate student (obtained RM 92,000 industrial grant)
2018: Obtained Fundamental Research Grant Scheme (FRGS) in the area of HEVC Multiview Video Streaming Mechanism for Data Distribution Service Framework, by Ts Dr Tew Yiqi and a postgraduate student (obtained RM 48,000 government grant)
2017: Co-Research with FOET lecturer in the area of Micro-Expression Recognition via Fundamental Research Grant Scheme (FRGS) by Dr Lim Chern Hong
2017: Participated in PECIPTA 2017 to showcase Smart Classroom Management and Car Plate Recognition System and won bronze medals by Dr Lim Chern Hong
Research and Development Projects
The centre groups support faculty student's projects / initiatives, including, but not limited to :
Intelligent Scene Detection
Augmented Reality Application
High Efficiency Video Coding