Kuala Lumpur, 24 Jun 2026 – Projek AGROMADANI, sebuah rover autonomi berasaskan Kecerdasan Buatan (AI) untuk pemantauan kesihatan tanaman, berjaya merangkul tempat pertama kategori pelajar prasiswazah (UG) dalam pertandingan AI Showcase @ FAI 2026 yang dianjurkan oleh Fakulti Kecerdasan Buatan (FAI), Universiti Teknologi Malaysia (UTM).

Projek yang dibimbing oleh Ir. Ts. Dr. Norulhusna Ahmad ini dibangunkan oleh pasukan yang diketuai oleh Dakshina Narrayana A/L Selvavinayagam bersama ahli kumpulan beliau (Risikesan A/L Yogeswaran, Kirthiggan A/L Saravanan, ⁠⁠Kavinnesh A/L R Chadraguptha) sebagai penyelesaian pintar bagi membantu petani mengenal pasti simptom awal penyakit dan tekanan tanaman secara automatik. Sistem AGROMADANI menggunakan teknologi penglihatan komputer (computer vision) untuk menganalisis keadaan daun dan tanaman secara masa nyata, sekali gus membolehkan tindakan awal diambil sebelum kerosakan menjadi lebih serius.

Berbeza dengan kaedah konvensional yang bergantung kepada pemeriksaan manual atau imej udara, AGROMADANI beroperasi di aras tanah menggunakan platform rover autonomi empat roda. Pendekatan ini membolehkan sistem memantau bahagian bawah daun dan batang tanaman yang sering menjadi lokasi awal jangkitan penyakit. Apabila tanda-tanda ketidaknormalan dikesan, rover akan berhenti, merekodkan lokasi dan menghantar maklumat untuk tindakan lanjut.

Selain kejayaan AGROMADANI, AI Showcase @ FAI 2026 turut menyaksikan pencapaian cemerlang projek-projek lain yang dibimbing oleh ahli U-BAN Research Group. Projek AutoBMS yang dibimbing oleh AP Ir. Dr. Rudzidatul Akmam Dziyauddin meraih tempat kedua kategori prasiswazah (UG), manakala projek AI-Broiler memperoleh hadiah saguhati bagi kategori pascasiswazah (PG). Ahli-ahli U-BAN turut mempamerkan pelbagai inovasi lain termasuk AGRO TRACK CATTLE, SMART, GreenPulse IoT Enhanced Smart Camera System for Plant Disease Monitoring, SPENZER: An Autonomous Eldercare Companion Robot, Vigil AI, dan AZEC Finance App.

Pencapaian ini membuktikan kekuatan budaya penyelidikan dan bimbingan dalam U-BAN Research Group, dalam melahirkan bakat-bakat muda yang mampu menghasilkan produk AI berimpak tinggi. Kepelbagaian projek yang dipertandingkan merangkumi bidang pertanian pintar, tenaga lestari, penternakan digital, robotik, pengangkutan pintar dan teknologi kewangan, sekali gus mencerminkan pendekatan multidisiplin yang menjadi teras kepada kecemerlangan penyelidikan UTM.

Tahniah diucapkan kepada seluruh pasukan AGROMADANI serta semua pemenang dan peserta daripada U-BAN Research Group atas kejayaan yang membanggakan ini. Semoga pencapaian ini menjadi pemangkin kepada lebih banyak inovasi AI yang mampu memberi manfaat kepada masyarakat, industri dan pembangunan mampan di peringkat nasional dan global.

15 Jun 2026 – U-BAN Research Group, Fakulti Kecerdasan Buatan (FAI), Universiti Teknologi Malaysia (UTM) Kuala Lumpur telah menganjurkan aktiviti riadah bermain bowling di Residensi UTM.

Program santai yang berlangsung selepas waktu bekerja ini disertai oleh ahli-ahli kumpulan penyelidikan U-BAN sebagai salah satu inisiatif bagi mengukuhkan hubungan silaturahim dan semangat kerja berpasukan dalam kalangan ahli. Aktiviti tersebut turut memberikan ruang kepada para penyelidik untuk berinteraksi dalam suasana yang lebih santai di luar persekitaran akademik dan penyelidikan.

Selain menggalakkan gaya hidup sihat melalui aktiviti fizikal ringan, program ini juga bertujuan mewujudkan keseimbangan antara komitmen kerja dan kesejahteraan diri. Suasana yang ceria dan penuh semangat sepanjang aktiviti berlangsung telah berjaya mengeratkan ukhuwah serta meningkatkan hubungan mesra antara ahli kumpulan.

Ketua Kumpulan Penyelidikan U-BAN berharap aktiviti seumpama ini dapat diteruskan pada masa hadapan sebagai medium untuk memupuk semangat kebersamaan, memperkukuhkan kerjasama pasukan, serta mewujudkan persekitaran kerja yang lebih harmoni dan produktif.

Aktiviti riadah ini selaras dengan aspirasi U-BAN Research Group dalam membangunkan budaya kerja yang seimbang, positif dan menyokong kecemerlangan penyelidikan melalui hubungan yang erat antara ahli kumpulan.

#UBANResearchGroup #FAIUTMKL #TeamBonding #BowlingActivity #WorkLifeBalance #Ukhuwah #UTM

On 17 April 2026, the networking visit by Hangguan Shan from Zhejiang University provided an opportunity for knowledge exchange and future research collaboration with the U-BAN Research Group, Universiti Teknologi Malaysia. Discussions focused on potential joint activities, including academic colloquiums, research sharing sessions, and future collaborations in intelligent systems, wireless communication, and AI-driven technologies.

Dear researchers, 

The Faculty of Artificial Intelligence, Universiti Teknologi Malaysia (UTM), in collaboration with the IEEE Malaysia Section – Instrumentation and Measurement Society (IMS), proudly presents the 6th International Conference on Smart Sensors and Applications (ICSSA 2026).

Conference details:
Date: 22–23 September 2026
Venue: Putrajaya, Malaysia

Under the theme “Driving Innovation Beyond Boundaries for Tomorrow’s World”, the conference welcomes original research papers and practical innovations that address emerging challenges and opportunities in sensing technologies and smart systems.

Conference Topics:
* Sensor Technology
* Smart Technology and Sustainable Systems
* Medical, Healthcare and Bio-Inspired Applications
* Next-Generation Communication Networks
* Advanced Informatics in Computational Applications

Important Dates:
Paper Submission Deadline : 7 April 2026

First Extension : 7 April 2026

Second Extension : 10 June 2026

Notification of Acceptance : 26 June 2026

Early Bird Registration : 20 July 2026

Normal Registration Deadline : 20 August 2026

Camera-Ready Submission : 20 August 2026

Publication:
Accepted papers will be submitted for possible inclusion in IEEE Xplore, subject to meeting the scope and quality requirements of IEEE.

Paper Submission:
Submit your manuscript via EDAS
https://edas.info/N34584

Website: fai.utm.my/icssa2026
Email: icssa.utm@gmail.com

Banting, Selangor, 21 April 2026 – An ongoing smart agriculture project is currently being deployed at KMK Agro Global Sdn. Bhd., introducing a rail-mounted camera system powered by computer vision to support rock melon farming in a greenhouse environment.

Funded by the Innovation and Commercialisation Centre (ICC), Universiti Teknologi Malaysia (UTM), the project—known as the GreenPulse IoT-Enhanced Smart Camera System—aims to integrate artificial intelligence and IoT technologies for automated fertigation and early-stage plant disease monitoring.

At its current stage, the installation is partially completed, with key components such as the rail camera mechanism and imaging system already in place. The system is designed to move along greenhouse rows, capturing plant images at scheduled intervals to build a consistent visual dataset for analysis.

These images will be processed using edge computing technology powered by the NVIDIA Jetson Orin Nano platform. Through AI-based image analysis, the system is expected to detect early symptoms of plant diseases and identify nutrient deficiencies, enabling timely alerts and faster intervention by farmers.

While the system is still under development and testing, the project team is actively working on optimising hardware integration, improving data capture consistency, and enhancing AI model performance for more accurate predictions.

The collaboration with KMK Agro Global Sdn. Bhd. provides a valuable real-world testbed, allowing continuous refinement of the system based on actual farm conditions. In addition, the project supports knowledge transfer activities, equipping farmers with exposure to emerging smart farming technologies.

Once fully completed, the system is expected to improve operational efficiency, reduce manual monitoring efforts, and enhance crop productivity, particularly for high-value crops such as rock melon.

This initiative reflects UTM’s commitment, through ICC funding, to advancing applied research and bridging the gap between academic innovation and industry implementation in smart agriculture.

Universiti Teknologi Malaysia (UTM), through the Faculty of Artificial Intelligence (FAI), organised a two-day Train-the-Trainer (TTT) Infineon PSoC® 6 Board Programme on 13 and 15 April 2026. The programme involved academic participants together with industry researchers from MIMOS Berhad and Mindmatics Sdn Bhd. It aimed to improve skills and strengthen collaboration in embedded systems and Internet of Things (IoT) technologies.

The programme was supported by Infineon Technologies under a Memorandum of Understanding (MoU). This collaboration also introduced the UTM–Infineon Innovation Launchpad (UIIL), which will support future activities in innovation, talent development, and research in embedded and AI technologies. FURTHER READING >> NEWS

Details news > news@Awani

Universiti Teknologi Malaysia (UTM), through the Faculty of Artificial Intelligence (FAI) UTM Kuala Lumpur, hosted a focused academic engagement programme from 13 to 16 January 2026. The programme was organised by the Ubiquitous Broadband Access Network (U-BAN) Research Group, in collaboration with the FAI Research & Innovation Office. Over four days, the activities gathered UTM staff, researchers, and students to strengthen knowledge exchange, widen research networks, and create new opportunities for future joint research with international partners.

A key highlight was a technical talk titled “Goal-Oriented Wireless Sensor Networks”, held on 14 January 2026 (Wednesday). The session was delivered by Prof. Dr. Tadashi Matsumoto, an IEEE Life Fellow and Professor Emeritus of the Japan Advanced Institute of Science and Technology (JAIST), Japan, and the University of Oulu, Finland. In his presentation, Prof. Matsumoto discussed how goal-oriented design can enhance the efficiency and reliability of wireless sensor networks by aligning network decisions with application objectives, enabling smarter use of resources and more meaningful performance outcomes.

The talk was open to all staff, researchers, and students. Participants engaged actively through questions and discussion, reflecting a strong interest in translating the concepts into practical sensing, monitoring, and communication solutions.

Beyond the seminar, the 13–16 January programme featured several closed discussions among Prof. Matsumoto, U-BAN members, and FAI researchers. These sessions explored potential research collaboration in the coming future, including AI-assisted sensor networking, energy-efficient sensing and communication, and emerging IoT and 6G-related applications. The group also discussed practical pathways for collaboration, including joint publications, collaborative grant proposals, student mobility, and co-supervision arrangements to sustain long-term engagement.

FAI and U-BAN extend appreciation to Prof. Dr. Tadashi Matsumoto and all participants, and look forward to translating the outcomes of this academic week into impactful collaborative research partnerships.