Overview

The Data Science research group focuses on the development and application on Big Data and technologies, drawing on the best scientific traditions in Computer Science, Medicine, Bio-sciences, Engineering and Business. It supports collaboration and knowledge transfer in this growing field. Hence, the team members work collaboratively with the research community and industry.

The research involves modelling, analysing, and simulating dynamic systems characterized by complex logic and uncertain behaviours. It also relates to new trends and concepts for the management of cloud systems to provide intelligent solutions for high throughput and computational problems utilizing large-scale data in the cloud environment. It investigates open research issues in turning a true “Internet of Things” into reality, an Internet where low-resource nodes (“things”, “constrained nodes”) can communicate among themselves and with the wider Internet in order to partake in innovation.

This research group is interested in various areas, namely big data analytics, cloud computing, data mining, business intelligence, data visualization and graphics and business process re-engineering.

Key Experts

Overview

SoCIT Cyber Security Research Cluster cybersecurity is the protection of computer systems, industrial IT-based systems, IT-based companies, and Network systems from theft or damage of their valuable resources as well as from misdirection or misuse of the services they provide. Cyber Security cluster provides a range of training, workshops, seminars for industry and community services. In addition, cybersecurity cluster contributes for the nation by producing high-quality research in the domain to help/protect IT-based systems for possible attacks.

Cybersecurity cluster mainly contributed to following trending research areas, which are the high demand of the current era.

Cybersecurity and Data Science: Data Science for Cyber-Security. Data science is an emerging domain, and data science use for cyber-security applications is a relatively new paradigm and highly demanding. Which includes, machine learning, deployment of statistical methodology, and Big Data analytics for anomaly detection, network modelling, forensics, risk management, etc. These applications help to identify the right solutions for the Cybersecurity domain.

Cybersecurity and AI: With time, technology paradigm is changing, with new era challenges AI is increasingly helping to Cybersecurity such as cybersecurity current and future products are increasingly integrating Machine Learning and AI technologies. By training AI software on large datasets of cybersecurity, network, and even physical information, cybersecurity solutions providers aim to detect and block abnormal behaviour, even if it does not exhibit a known “signature” or pattern.

Cybersecurity and Cognitive Science: Cognitive security is a new paradigm shift in cybersecurity, which may help to prevent cyber-attacks before happening, in several possible areas with a wider scope. Cognitive science is designed mainly on non-technical areas based on human behaviours, which affect to cybersecurity. Cognitive security helps cybersecurity in technical solutions as well by designed technical solutions to detect misleading data and disinformation and prevent its spreading.

Industry 4.0 and Cybersecurity: The fourth industrial revolution grown with smart technologies boom in the industry, it brings a great change in the industry. However, it brings the great new operational risk as well for connected, smart manufacturers and digital supply cyber networks. This 4.0 industry evolution increases the productivity and ease to handle the industry, but this interconnected nature of Industry 4.0 brings more possibilities of cybersecurity threats even before, suppliers and manufacturers are not prepared for this type of risks. 

Key Research Areas

• Cyber Security
• Industry 4.0 and Cyber Security
• Information Security
• Application Security
• Computer System Security
• New Trends in Cybersecurity

Key Experts

Overview

Emerging new and smart technologies are shaping the landscape of possibilities as people and things become more connected to and through the Internet to each other. AI and Machine Learning algorithms are providing solutions to problems and applications that were not seen earlier. IoT services are foreseen to provide a global reach with the proliferation of IoT and its influence in various use case scenarios. Blockchain the technology behind Bitcoin is finding a broad range of uses beyond cryptocurrencies.

The researchers of this group seek to understand and develop systems by exploring, investigating and design solutions to real world problems using AI algorithms and techniques, Machine Learning, Affective Computing, IoT and Blockchain Technology where plausible. This research group actively engages with the research community through publications, participation in technical conferences, workshops, and collaborations with experts in academia and Industry.

Key Research Areas

Key Experts

Overview

The rapid growth of Asian cities presents many issues to their inhabitants as cities expand beyond their comfortable limits and authorities play catch up. Given the unique composition of people, culture, heritage and belief systems in Asia, adoption of models built largely upon research in western developed nations may not provide viable solutions to many of the unique problems arising in Asia.

The aim of the research group is to employ a multi-disciplinary approach to identify the key factors likely to contribute to impending crisis in rapidly growing Asian cities. This entails developing new knowledge and understanding of  Asia-centric problems and proposing solutions to overcome current problems or avert potential dysfunction.

The research programmes conducted by the Group endeavour to supply information and propose solutions that can be used by policy makers, city planners and urban designers, in planning, designing and maintaining Asian cities facing a plethora of environmental, economic, health and social problems both currently and in the future.

Key Areas of Expertise 

• City Planning and Urban Design
• Masterplanning
• Sustainable Urbanism and Ecological Connectivity
• The New Urban Agenda
• Affordable Housing
• Heritage Conservation and Adaptive Reuse

Key Experts

Overview

As one of the focus areas under Industry 4.0, 3D printing and additive manufacturing revolutionize the way that goods are created in the coming years. This research group is aiming at novel approaches in manufacturing of products that can support a sustainable development for the humankind. The area is identified as one of the niche areas for Taylor’s School of Computer Science and Engineering and supported by the university through the Flagship Research Project fund.

The flagship research was on liveability and safety of Asian cities. One of the projects aims at providing a quiet indoor environment using sound absorbers made of natural fibers. Natural fibers are vastly available as agricultural waste in tropical countries such as Malaysia. Research has shown that these fibers can be used in acoustic absorption panels. Carbon Nano Tube (CNT) has excellent mechanical and thermal property and it is found that CNT arrays, in some cases, may provide better acoustic absorption than conventional porous materials of equivalent thickness and mass. Fibers will be mixed with CNT in different ways and their acoustical and microbial activities are evaluated. The expected outcome of this section is a natural fiber composite that has excellent acoustic absorption coefficient throughout the frequency spectrum, and can be used safely in a humid environment at a reasonable price.

Key Research Areas

• 3D printing of natural fibers composites
• Additive manufacturing of bio-based materials
• Novel materials for additive manufacturing
• Manufacturing of recyclable composites
• Simulation of Engineering systems

Key Experts

Overview

The UN sustainable development goals addressing the pressing challenges including poverty, inequality, climate, erratic climatic variations, degradation of natural resources, prosperity of people with prevailing justice to live in peace is targeted to be achieved by 2030. Knowing the role of sustainable player within the academic and research enterprise Taylor’s School of Computer Sciences and Engineering align the high impact research thrust in addressing those within the engineering education through vertically blended approach where the technology and data as catalyse for long term sustainable solution.

The research group is working on the verticals that imbibe long term technological solutions towards cost effective, clean energy, solutions in generations and transportation for sustainable cities (SDG 7, SGD 11, SDG 13)

Unit Objectives

• To cater holistic sustainability research solutions through innovations
• To develop niche research thrust that support and aligned to SDG goals

Unit Developmental Areas

• Islanded clean energy alternatives
• Bio inspired novel techniques for engineering solutions in energy production and energy utilisation

Key Experts

Overview

The new era of Industry 4.0 (IR4.0) requires multi-disciplinary roles across cultures and countries demanding different knowledge and skills to adopt to the emerging complex industry interconnectedness setting – humans, machines, and internet of things (IOT). The engineering education through the outcome-based education (OBE) framework has a very important role in fulfilling this need. The Institutions of Higher Learning (IHL) offering engineering programmes should provide adequate facilities and opportunities for students to maximise their learning potential towards acquiring the intended skills set to be job ready upon graduation. In addition, it is crucial for graduates to be future proofed and able to thrive in times of uncertainty.

This research group is focused research areas and collaboration activities such as teaching, learning, and assessment pedagogies, research collaboration, and consulting activities on engineering education, and project-based learning pedagogies among others.

Unit Objectives

• To provide training on various pedagogies that support teaching and learning for the Millennials
• To provide support training on various design thinking strategies for engineering projects
• To conduct engineering education research
• To assist and equip engineering educators keen on undertaking engineering education research

Unit Developmental Areas and Focus

• Teaching, Learning, and Assessment Pedagogies
• Local and International Research Collaborations on Engineering Education
• Participation in Teaching, and Learning Competitions and Conferences
• Local and International Collaborations on OBE Assessments
• Project-based Learning Pedagogies
• Engineering Education Research
• Strategies on Future Proofing Graduates

Key Experts

Overview

The Taylor's Unmanned Aerial Vehicle (TUAV) Research Group is an interdisciplinary academic and research group within the School of Computer Science and Engineering at the Taylor's University. Founded in 2018, the TUAV Research Group is a prime incubator for cutting-edge Unmanned-Systems technologies, with a central directive to foster meaningful collaboration between the academic world and the industry by translating sophisticated research work into impactful applications. The group focuses mainly on fundamental research in UAV control systems, process automation, machine vision and machine learning for autonomous UAV operations.

In keeping with our core tenant of meaningful applications, the research group is constantly working in partnershipwith various major industry players to derive maximum impact from our work at the lab on the actual operation field. Amongst our list of currently ongoing work are projects on next-generation surveillance systems with autonomous UAVs, the development of a lightweight simultaneous localization and mapping (SLAM) and generalized target tracking algorithms for resource-constrained operations onboard a typical UAV, and a project on enabling autonomous operation in highly complex and dense environment such as settings with thick foliage.

Unit Objectives

• To research and develop autonomous unmanned aerial vehicles (UAV) for meaningful and impact-driven real-life applications
• To provide expert consultancy and solutions to industry players on the subject of cutting-edge UAV technologies

Unit Developmental Areas

•  UAV flight control systems
• Light weight SLAM algorithm 
• Machine learning for target identification
• UAV flight path optimization
• Blade design and optimization
• Image processing applications
• Data Analytics through IoT

Key Experts

Overview

A global perspective provides a new sustainability-oriented business strategic for real estate development which emphasis on integrating sustainability principles into practical decision making and marketing. This group of research team aims to provide research and consultancy to real estate corporates by meeting the needs of the present industrial trend, without compromising the ability of future generations.

The fundamental concept on suitability encompasses three dimensions, namely social, economic and environmental, which are accepted by all stakeholders as guiding principles for both public policy making and corporate strategies. Under the scope of architecture and building, the focus of this group centered on the interactions between nature and technology in providing ‘Sustainable Design and Technology’ research particularly Systems, Building Construction, Construction Law and Procurement, Facility and Project Management, Ecology and Green Architecture, Building Information Modelling (BIM), User-orientated Architecture, Access for the Disabled (OKU), and Business Management and Corporate Strategy.

Key Research Areas

• Systems, Building Construction
• Construction Law and Procurement
• Facility and Project Management
• Ecology and Green Architecture
• Building Information Modelling (BIM)
• User-orientated Architecture
• Access for the Disabled (OKU)
• Business Management
• Corporate Strategy

Key Experts

Overview

Design as Future-Making offers emergent models of design that are much needed today. This is especially critical now that virtually every object, place, and phenomenon is understood to exist in an ecology of forces and counterforces. This area explores how we’re building possible futures through our everyday activities of talking, researching, curating, designing, and teaching – how can we intervene in this process through media inventions to build more flexible, accessible and sensible futures?

The research group working on exploring creative and transgressive approaches to thinking about scientific and humanistic inquiry practices. It focuses and promotes the transformative design values where design/designer researchers become transformers who generate novel solutions through digital media that contribute to a more flexible world. The outcome of this area encompasses academic research and creative outputs.

Key Research Areas

• AR/ VR/ MR Design Applications
• Transmedia Design (UI & UX)
• Connected Environment and Objects

Key Experts

Overview

The question of design culture and practices is seemingly absent from the debate on contemporary design and especially from emerging design: a problem-based, solution-oriented design. The defining characteristic of which is not the products, services and communicative artefacts it produced, but the knowledge, values, vision and qualities criteria that emerge from the table of conversations occurring during design activities as well as the tools and methods it uses. 

The area is identified as one of the diversify focus in design research at The Design School where design/ designing can be a dynamic process with transformative sense, that is enabling and even emancipatory. The research group works between theoretical reflection on the nature of design and case studies of design culture and practices, and from research-based perspectives to the experience-based perspectives of design insiders. The outcome of this area encompasses academic research and creative outputs. 

Key Research Areas

• Education and Pedagogy
• Tacit Design Knowledge
• Visual Culture

Key Experts

Overview

As social innovation and on the basis of dialogue and participation, social design strives for a new networking of the individual, civil society, government, and the economy. Social design thus presents a long-overdue study ranging from tracing the historical roots and foundations of social design, new infrastructures and today’s theoretical discourse as well as future trends of living by their inhabitants. 

The area is identified as the new lines of social insistence in the world of design: that designers/ design researchers work to objectives of sustainability, access, safety to bring about social good or social change. The research group works on recognizing the value of design as a means of generating changes in the way we do things and what do we want to become. The outcome of this area encompasses academic research and creative outputs. 

Key Research Areas

• Design for Health and Well-being
• Spatial Design/ Democratic Design 
• Design for Hyperlocal Practices

Key Experts

Overview

The rapid modernization of Asia in general and Malaysia in particular in the 21st century has increased the importance of celebrating a community’s identity and culture in the face of rapid physical and social change. By appreciating that memory (and therefore history) contributes to culture and identity (and therefore heritage), the aim of this research group is to study the different factors that contribute to Asia’s architectural and social heritage, including the intangible elements that allow these plural identities to be appreciated as a ‘living heritage’.

This research group employs a multi-disciplinary approach to identify key elements that contribute towards the creation of heritage in ASEAN in particular. This includes a deep appreciation of the role of tourism and the arts, minority cultures and social practices as well as architectural conservation, measured drawings and their associated methods of documentation. Projects under this group should identify communities, locations, ways of life, design and/or architectural typologies that are worthy of study in order to facilitate either their conservation for the benefit of future generations or to assist in their evolution to encourage the survival of multiple ‘ways of being’ in the face of increasingly globalizing forces during the 21st century.

Key Research Areas

• Architecture and social heritage
• Living heritage
• Heritage in ASEAN
• Tourism and the arts
• Social practices
• Architectural conservation
• Architectural typologies
• Multiple ‘ways of being’

Key Experts

Project Code: TUFR/2017/001/02

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Project Code: TUFR/2017/001/01 

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Project Code: FRGS/1/2019/ICT02/TAYLOR/03/1

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Project Code: FRGS/1/2019/TK02/TAYLOR/02/1

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Project Code: FRGS/1/2019/ICT02/TAYLOR/02/1

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Project Code: FRGS/1/2019/TK10/TAYLOR/02/1

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Project Code: TIRGS-ERFS/1/2019/SOE/001

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Project Code: TIRGS-ERFS/1/2019/SOE/002

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Project Code: TIRGS-ERFS/1/2019/SOA/001

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Project Code: TIRGS-ERFS/1/2019/DES/001

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Project Code: MRM/2020/TDS/001

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