Mohamed Rawidean Mohd Kassim

Mohamed Rawidean Mohd Kassim is a senior researcher and innovator at MIMOS Berhad, Malaysia’s national applied R&D centre under Ministry of Science, Technology and Innovation (MOSTI), where he has served since 1988 and holds the position of R&D Manager. He is a recognized expert in Internet of Things (IoT), Artificial Intelligence, Data Analytics, Wireless Sensor Networks, and Real-Time Systems, with strong emphasis on Smart Farming and Precision Agriculture, including pioneering work on mushroom yield prediction and AI/IoT-driven agricultural digital transformation.

His international impact is reflected by his inclusion in the World’s Top 2% Scientists 2025 (Stanford University & Scopus) in AI and Image Processing. He holds seven registered patents, primarily in wireless sensors, networks, and sensor applications, and has contributed to over 30 national and international R&D projects in leadership and technical roles.

Mohamed Rawidean is an IEEE Senior Member. He was the IEEE Computer Society Malaysia Chapter Chair from 2002 to 2013 and IEEE Computer Society Regional Coordinator for Region 10 since 2021. As a lecturer, he has given computer science courses for undergraduate and graduate students. He has written many conference papers and one book chapter (‘Sensors for Everyday Life’, Springer Pub., 2017). He is also a member of the Industry Advisory Panel (IAP) for Monash University Malaysia and Universiti Kuala Lumpur (UniKL).

An active leader in the IEEE Computer Society community, he is the Founding Chairman of the IEEE Conference on Open Systems (ICOS), an IEEE Computer Society Distinguished Speaker (since 2018) with over 60 international talks, and has organized numerous IEEE conferences and workshops. In recognition of his service, he received the IEEE Computer Society Meritorious Service Award (Second Highest) on 26 May 2025 from IEEE Computer Society President Prof. Hironori Washizaki in Tokyo, Japan.

Malaysian Institute of Microelectronic Systems (MIMOS)

Ministry of Science, Technology and Innovation Malaysia

Phone: +6019-3281562

dean@mimos.my

DVP term expires December 2021

Presentations

Wireless Sensor Network in Precision Agriculture Application

The Wireless Sensors Network (WSN) is nowadays widely used to build decision support systems to overcome many problems in the real world. One of the most interesting fields having an increasing need for decision support systems is precision agriculture (PA). This project presents WSN as the best way to solve the agricultural problems related to farming resources optimization, decision-making support, and land monitoring. This approach provides real-time information about the lands and crops that will help farmers make the right decisions. Using the basic principles of Internet and WSN technology, precision agriculture systems based on the Internet-of-Things (IoT) technology is explained in detail, especially on the hardware architecture, network architecture and software process control of the precision irrigation system. The software monitors data from the sensors in a feedback loop, which activates the control devices based on threshold value. Implementation of WSN in PA will optimize the usage of water fertilizer and maximize the yield of the crops.

Applications of WSN in Agricultural Environment Monitoring Systems

Wireless Sensor Networks (WSN), Cloud computing, Big Data and their convergence with the Internet of Things (IoT) offer vast opportunities to build decision support systems to solve many real-world problems. One of the most interesting fields having an increasing need for decision support systems is agricultural environment applications.

Agricultural environment monitoring has become an important field of control, providing real-time system and control communication with the physical world. An intelligent and smart WSN system can collect and process large amounts of data from the beginning of the monitoring and manage air quality, soil conditions, to weather situations. The proposed system collects and monitors information related to the growth environment of crops outside and inside greenhouses, using WSN sensors and CCTV cameras. The temperature and humidity sensors are developed in-house, and both sensors are very reliable. Furthermore, the system allows automatic control of the greenhouse environment remotely and thus improves the productivity of crops.

A 7-Level Smart Home System for the XY Generation

In the past few years, the digital revolution has dramatically increased the function and reduced the cost of consumer devices. This has led to an explosion of new smart devices in the home and office, from digital LED TVs and game systems to environmental controls, smart appliances, and safety and monitoring devices, along with lifestyle, wellness and medical devices. Today, you can easily control your home’s mechanical systems and appliances over your cellular phone or Internet, and the lighting in your home can be set to save your money when you leave the room. The Internet of Things provides even more incredible access to information and services.

A 7-Level Model of Smart Home Systems is proposed in this paper. The benefits and advantages of a smart home for various categories of users will be discussed, particularly for XY Generation in this model. A detailed description of each level with examples is given, based on the author’s 20 years of knowledge and experience in the design, development and installation of smart-home systems. This model can be further customized and developed for the implementation of an intelligent township or smart city.