📝 Summary
Universiti Teknologi Malaysia (UTM) successfully hosted a two-day training program on Infineon PSoC 6 Board Programme, bringing together industry participants and academic researchers to strengthen collaboration and enhance technical competencies in embedded systems and IoT technologies. The program aimed to accelerate innovation, talent development, and industry-driven research in embedded systems and AI technologies. The training introduced participants to the capabilities of the Infineon PSoC 6 Board and focused on connectivity features, particularly CapSense technology and Wi-Fi integration for IoT applications.
KUALA LUMPUR, Apr 17 – Universiti Teknologi Malaysia (UTM), through the Faculty of Artificial Intelligence (FAI), successfully organised a two-day Train-the-Trainer (TTT) Infineon PSoC® 6 Board Programme on 13 and 15 April 2026. The programme brought together industry participants from MIMOS Berhad and Mindmatics Sdn. Bhd., alongside academic researchers, to strengthen collaboration and enhance technical competencies in embedded systems and Internet of Things (IoT) technologies.
The programme was sponsored by Infineon Technologies following the formal Memorandum of Agreement (MoA) established between both parties. This collaboration also marks the establishment of the UTM–Infineon Innovation Launchpad (UIIL), a dedicated platform aimed at accelerating innovation, talent development, and industry-driven research in embedded systems and AI technologies.

The training introduced participants to the capabilities of the Infineon PSoC 6 Board, a versatile platform designed for embedded and connected system applications. The sessions combined theoretical input and hands-on activities, covering core topics such as microcontroller architecture, dual-core processing using Cortex-M0+ and Cortex-M4, and development using ModusToolbox. Participants were also guided through practical programming exercises, including GPIO control, UART communication, interrupt handling, and inter-processor communication (IPC), providing a solid foundation in embedded system design.
In addition, the programme focused on connectivity features of the PSoC 6 platform, particularly CapSense technology and Wi-Fi integration for IoT applications. These components are essential in enabling real-time data acquisition and device communication in modern smart systems. The structured modules ensured participants gained practical exposure and were able to implement working prototypes effectively.
This programme builds on earlier initiatives, where the first training session was conducted in December 2025 involving academia from public universities such as Universiti Kebangsaan Malaysia (UKM), Universiti Tun Hussein Onn Malaysia (UTHM), and Universiti Teknologi MARA (UiTM). The continuation of this initiative reflects a growing effort to expand knowledge transfer from academia to industry, ensuring wider impact and adoption of embedded and IoT technologies.
While the current training emphasised embedded programming and IoT connectivity using the PSoC 6 board, participants were also introduced to the broader roadmap of Infineon technologies. In particular, the upcoming use of the PSoC Edge platform was highlighted as a key enabler for artificial intelligence (AI) applications at the edge. This distinction provided a clearer understanding of how PSoC 6 serves as a strong foundation for connected systems, while more advanced AI processing capabilities will be explored using dedicated edge AI hardware in future engagements.

This initiative reflects UTM’s continuous effort to bridge academia and industry through capacity-building programmes aligned with current technological developments. The exposure has opened new opportunities for researchers to further explore IoT system integration, while also preparing them for the transition towards AI-enabled embedded solutions.
By engaging industry partners such as MIMOS and Mindmatics Sdn. Bhd., and with strong support from Infineon through the UIIL platform, UTM continues to strengthen its role as a hub for knowledge transfer and innovation. The programme not only enhanced participants’ technical skills but also inspired future collaboration in developing intelligent and connected systems for real-world applications.


Authors: Ir. Dr. Hazilah Mad Kaidi, Dr. Mohd Shahrizal Rusli