Research Areas
The School of CHIPS
The School of CHIPS focuses on industry-oriented research in line with the efforts of XJTLU Entrepreneur College (Taicang). Currently, the School’s research priorities include:
- Enabling technologies in Microelectronics Science and Engineering
This priority focuses on the applications and innovations of microelectronics technology to various areas in the microchip domain. Efforts in this priority seek to apply microelectronics technology to interdisciplinary areas to understand the transformations of industries and societies. Research in this priority also analyses technology development and investigates the synergies, influences and strategies among enterprises and microelectronics industries.
- Transforming Industry and Society through Microelectronics Science and Engineering
The Entrepreneurship and Enterprise Hub
The Entrepreneurship and Enterprise Hub focuses on industry-oriented research in line with the efforts of XJTLU Entrepreneur College (Taicang). Currently, the Hub’s research priorities include:
- Entrepreneurship and innovation
- Technology management and innovation
- Organizational and employee behavior
- Strategic Management
- Leadership
- Cross-culture communication
- Corporate Social Responsibility
- Research and Knowledge Exchange
The School of Intelligent Finance and Business
The School of Intelligent Finance and Business focuses on industry-oriented research in line with the efforts of XJTLU Entrepreneur College (Taicang). Currently, the School’s research priorities include:
- Digital marketing and intelligent business (for example, how developments in location-based technology, Internet of Things, and artificial intelligence affect marketing efforts)
- Social media marketing (such as word of mouth) and content management and their interactions with a firm’s financial performance
- Enhancing business-to-business marketing performance with support of intelligent technology
- The industrial internet’s supply chain, with the support from our partner AMT
- Sustainable supply chain/business, considering the symbiosis with the community
- Industry 4.0’s supply chain, catching up with trends and societal needs
- Investigation of growth opportunities in corporate social responsibilities (carbon, recycling, energy-efficient initiatives)
- Investigation of how business transformations related to environmental, social, and governance matters impact Industry 4.0; Investigation on how a financial institution’s portfolio impacts the climate and the shift to green finance
- Applying machine learning techniques in understanding the performance of the capital market
- Venture valuation and financial risk assessment with the support of intelligent technology
The School of Intelligent Manufacturing Ecosystem
The School of Intelligent Manufacturing Ecosystem focuses on industry-oriented research in line with the efforts of the Entrepreneur College (Taicang). Currently, the School’s research priorities include:
- Enabling Technologies in Intelligent Manufacturing
This priority allows for deep and niche research into the technologies that enable intelligent manufacturing and its direct and associated domains to push the boundaries of applied knowledge in AI, industrial big data, industrial IoT, advanced and sustainable materials, additive manufacturing, advanced engineering systems, robotics technology, and robotics systems etc. This priority is driven by deep engagementwith industry and funding bodies. - Advanced Industrial Ecosystems Design
This priority focuses on innovative design and management of industrial or manufacturing ecosystems that leverage enabling technologies and state-of-the-art in advanced and intelligent manufacturing and other domains. These technologies allow for high efficiency, automation, integration and usage of intelligent features, and efficient control and monitoring. This priority also focuses on systems design, allowing for better and more efficient integration into given contexts. - Sustainable Development and Technology-led Innovation Ecosystem
This priority focuses on taking a holistic and multi- and transdisciplinary approach to advance the sustainability of advanced industrial systems and related domains in line with the UN’s Sustainable Development Goals (SDGs). This priority also enables a participatory and immersive exploration of technology-led innovation and entrepreneurial ecosystem through deep engagement with stakeholders and action research.
The School’s current research directions mainly include:
1. Materials characterisation, alloy manufacturing, process optimisation
2. Solar-cell technology, lithium-ion batteries, integrated circuits, deposition and characterisation of dielectric materials
3. Cyber-physical systems, model-based systems engineering, multiphase fluid flow and heat transfer numerical modelling
4. Resource-efficient manufacturing
5. Systems thinking for manufacturing processes and supply chain
6. Computer-aided process planning for hybrid and intelligent manufacturing systems
7. Nonlinear dynamics and control of nonlinear systems
8. AI, IR4.0, robotics and autonomous systems
School of Internet of Things
The Internet of Things (IoT) is a combination of Information Technologies (IT) and intelligent interfaces aiming to enable different types of automatic interaction between physical objects. Essentially, IoT is an integration between the physical world, computing devices, AI systems and human intervention, which enhances performance, efficiency and provides excellent economic benefits. IoT is evolving regularly having become ubiquitous (similarly to semiconductors, chips, or programmes). It has become a fundamental technology in Chinese policies of high-quality development and has acquired an even more prominent role in all aspects of public and industrial smart grids and critical infrastructures.
Essentially, the School adopts an applied research approach focusing on IoT applications in public and industrial smart grids and critical infrastructures in a variety of digital transformation contexts, such as smart cities, smart industry, smart agriculture, smart home, smart healthcare, and smart transportation. Therefore, IoT research in our School centers on International trends and National priorities as well as social and industrial needs for integrative solutions combining wireless communications, networks, cloud infrastructures, sensor devices, data technologies, and related management and control platforms.
Specifically, our School is currently engaged with industry-focused research and emerging technologies, such as:
- IoT Embedded Systems
- IoT vehicle-to-everything (V2X)
- Industrial IoT and Mechatronics
- IoT Wireless Networking
- AI for IoT
- IoT Wearable Technologies
- IoT-enabled Information Systems
- Socio-technical Studies of IoT Use and Acceptance
- Management and Security of IoT Systems
The School of Robotics
Research Priorities:
The School of Robotics focuses on industry-oriented research in line with efforts of the Entrepreneur College (Taicang). Currently, the School’s research priorities include:
- Enabling Technologies in Intelligent Robotics:This priority allows for deep and niche research into individual enabling technologies in intelligent robotics and its direct and associated domains, to push the boundaries of applied knowledge in AI, industrial big data, industrial IoT, advanced engineering systems, robotics technology, robotics systems and control, machine learning etc. This priority is driven by deep engagement with industry and funding bodies.
- Advanced Robotics Design:This priority focuses on innovative and advanced design of intelligent robots in various contexts that leverage enabling technologies and state-of-the-art in robotics engineering and design. Key domains for this priority include industrial robots, domestic robots, service robots, mobile robots, micro- and nano-robots etc. This priority also focuses on robotics systems design allowing for better and more efficient integration of robot designs into their relevant contexts.
- Sustainable Development and Technology-led Innovation Ecosystem:This priority focuses on taking a holistic and multi- and transdisciplinary approach to advance the sustainability of advanced robotic systems and related domains in line with UN’s Sustainable Development Goals (SDGs). This priority also enables a participatory and immersive exploration of technology-led innovation and/or entrepreneurial ecosystem through deep engagement with stakeholders and action research.
Research Projects
- RP0042 Development of high-performance coatings for integrated circuit test probes – Chenguang Liu
- RDF-21-02-024 Intelligent Robotic Grasping and Manipulation – Fan Zhu
- RDF-21-01-040 Investigation of Interface Modification by Self-assembled Monolayer in the Energy Storage System – Chenguang Liu
- RDF-20-02-60 Few-shot Stylistic Character Generation based on Deep Neural Networks – Haochuan Jiang
- RP0043 Intelligent Robotic System, Collaboration with Beko (Wuxi) – Fan Zhu
- RDS10120230095 Technology development of the biomimetic robotic turtle system – Shenhong Wang
The School of AI and Advanced Computing
The School of AI and Advanced Computing focuses on industry-oriented research in line with the efforts of XJTLU Entrepreneur College (Taicang). Currently, the School’s research priorities include: