Nuradin Mohamed Abdikadir earned his M.Eng. in Wireless Communication and Network from Universiti Teknologi Malaysia (UTM) in 2024 and his B.Sc. in Telecommunications Engineering from SIMAD University, Somalia, in 2018. Since 2018, he has been an integral member of the Faculty of Engineering at SIMAD University, actively contributing to academic development and research initiatives.
His research interests encompass IoT, Wireless Communications, and Antenna Technology. He has played a key role in various research endeavors, particularly focusing on the design and implementation of IoT-based systems for real-time monitoring and advancements in wireless communication technologies.
EDUCATION
Master of Eng. in Wireless Communications and Network
RESEARCH, TEACHING, or OTHER INTERESTS
Engineering, Multidisciplinary
8
Scopus Publications
70
Scholar Citations
4
Scholar h-index
3
Scholar i10-index
Scopus Publications
Predicting Water Quality Parameters in Mahseer Fish Farming Using Machine Learning Techniques Nuradin Mohamed Abdikadir, Ahmad Shahidan Abdullah, Husein Osman Abdullahi, Abdikarim Abi Hassan Ssrg International Journal of Electronics and Communication Engineering, 2024 Mahseer fish farming faces challenges in maintaining optimal water quality, essential for fish health and growth. Poor water quality can lead to stress, disease, and mortality, impacting productivity. This study compares Random forest Regression (RF) and Support Vector Regression (SVR) models in predicting water quality parameters, such as pH, dissolved oxygen (DO), and temperature. The RF model outperformed SVR, showing superior accuracy with lower Mean Squared Error (MSE) and Mean Absolute Error (MAE) and higher R-squared values (99% for DO, 98% for temperature, and 95% for pH). RF’s superior performance makes it a reliable tool for tracking water quality trends and fluctuations. Recommendations for enhanced monitoring include extending data turbidity and capturing seasonal and long-term trends, integrating sensors for additional parameters like ammonia and turbidity, and developing a user-friendly mobile app for real-time data and alerts. These improvements aim to support the sustainability and productivity of Mahseer fish farming.
Smart Aquaculture: IoT-Enabled Monitoring and Management of Water Quality for Mahseer Fish Farming Nuradin Mohamed Abdikadir, Ahmad Shahidan Abdullah, Husein Osman Abdullahi, Abdikarim Abi Hassan Ssrg International Journal of Electrical and Electronics Engineering, 2024 - Aquaculture is essential for meeting the growing global demand for seafood by cultivating aquatic species in controlled environments such as ponds and tanks. This study presents an innovative IoT-based water quality monitoring system designed specifically for Mahseer fish farming. The system utilizes an ESP32 Development Board equipped with sensors to monitor water quality parameters and employs the Blynk 2.0 platform for real-time data visualization. A C/C++ algorithm managed through the Arduino IDE facilitates effective communication between the sensors and the microcontroller. The results demonstrate the system's effectiveness in maintaining optimal water conditions, enabling early detection and timely intervention for potential issues. This approach enhances the sustainability and efficiency of Mahseer fish farming. Future research will focus on refining accuracy, improving scalability, and integrating advanced data analytics to boost predictive capabilities and promote more efficient and profitable aquaculture practices.
Antenna Array Design and its Integration with Beamforming Network Abdisalan Abdulkadir Mohamed, Nuradin Mohamed Abdikadir, Abdirahman Abdikarim Ali, Mohamed Mohamud Ahmed Ssrg International Journal of Electronics and Communication Engineering, 2024 This paper describes the design of an antenna array and its integration with a beamforming network that operates at 2.6 GHz and uses circular microstrip patch antennas and their arrays over a frequency range of 2–3 GHz. This design is implemented on a substrate (RT5880) with a dielectric constant (ε = 2.2), loss tangent (tanδ = 0.0009), and thickness (h = 0.0813 cm). The microstrip antenna's dimensions were calculated and subsequently determined through simulations. The Antenna Feeding Network with Beamforming exceeds Single and Array Antennas, providing superior directional radiation. With an amazing 9.02 dBi gain, 32.6 dBi front-to-back ratio, and 67% Total radiation efficiency at 2.6 GHz. A comparison and observation are made between the effectiveness of the designs and the suggested techniques. CST Microwave Studio is a full wave electromagnetic simulation software program for design and analysis.
IoT Based Warehouse Management System Leveraging On RFID and Cloud Platform Technologies Abdirahman Abdikarim Ali, Rozeha A. Rashid, Nuradin Mohamed Abdikadir, Abdisalan Abdulkadir Mohamed, Mohamed Mohamud Ahmed Conference Proceedings IEEE International Conference on Advanced Telecommunication and Networking Technologies Empowering Telecommunication Technologies for Sustainable Future Atnt 2024, 2024 In the rapidly evolving landscape of logistics and supply chain management, the integration of advanced technologies has become imperative to enhance efficiency and accuracy. This paper introduces an IoT-Based Warehouse Management System that leverages Radio Frequency Identification (RFID) technology and Firebase Cloud platform to revolutionize inventory management in modern warehouses. By integrating these technologies, the system achieves real-time data synchronization, automated inventory tracking, and enhanced visibility, thereby addressing the limitations of traditional warehouse management systems. The implementation of this system demonstrates significant improvements in operational efficiency, inventory accuracy, and scalability, making it a robust solution for various industries. The paper also discusses the system's architecture, methodology, and preliminary results, highlighting its potential to transform warehouse operations
IOT-based Automatic Fish Feeding System Abdisalan Abdulkadir Mohamed, Nor Aishah Binti Muhammad, Rozeha A. Rashid, Mohamed Mohamud Ahmed, Abdirahman Abdikarim Ali, Nuradin Mohamed Abdikadir 2024 IEEE 22nd Student Conference on Research and Development Scored 2024, 2024 Aquaculture industries often encounter numerous challenges in feeding their aquatic livestock as they rely on the traditional feeding approach, which can be costly due to the high expenses associated with manpower. This paper proposes an Internet-of-Things (IoT)-based automated fish feeding system designed to optimize feed management, reduce waste, and promote sustainable aquaculture practices. The system integrates both hardware and software components, including sensors for measuring environmental parameters such as temperature, humidity, feed levels, and feeding schedules, ensuring accurate and consistent operation. Real-time data monitoring and control are achieved through the Firebase platform and web apps allowing remote access and automation of feeding routines. The servo-driven feeding mechanism opens and closes the feeder based on predefined schedules, with feedback loops to track feed consumption levels. The Preliminary results of the system demonstrates enhanced monitoring capabilities and operational efficiency. This paper also offers a cost-effective and sustainable solution, enabling aquaculture operators to minimize labor requirements, optimize feeding schedules, and improve livestock management, ultimately contributing to the productivity and sustainability of the industry.
Design and Development of a Microstrip Antenna Array with Beamforming Network Integration for Enhanced Gain and Directivity at 3.5 GHz Mohamed Mohamud Ahmed, Abdisalan Abdulkadir Mohamed, Abdirahman Abdikarim Ali, Nuradin Mohamed Abdikadir, Mohd Rashidi Salim, Abdulkadir Mukhtar Diblawe, Abdullahi Aweis Afwah 2024 IEEE 22nd Student Conference on Research and Development Scored 2024, 2024 This study addresses the challenges of designing efficient antenna systems for intermediate frequencies, such as 3.5 GHz, a band that is often overlooked in favor of millimeterwave and 5G applications. The need for high-gain, directional antennas with beamforming capabilities has become increasingly important for modern wireless communication systems to ensure reliable signal transmission and reduced interference. To tackle these challenges, this research focuses on the design and optimization of a $\\mathbf{3 x 1}$ microstrip patch antenna array integrated with a branch-line coupler feeding network. Using CST Microwave Studio, the system was refined to achieve strong gain (12.49 dBi), low side lobe levels, and stable beamforming. Reflection coefficients of -31.99 dB and bandwidths ranging from $\\mathbf{1. 8 \\%}$ to $\\mathbf{2 5. 8 \\%}$ validate the design’s effectiveness. Although slight phase shifts were observed, the system maintains reliable performance, demonstrating its suitability for applications requiring efficient, high-gain communication. This study provides a practical solution for beamforming at intermediate frequencies, addressing existing gaps in the field and contributing to the advancement of nextgeneration wireless communication technologies.
Integrating IoT Technologies for Smart Parking Management: A Cost-Effective System with Telegram-Based Real-Time Alerts Mohamed Mohamud Ahmed, Rozeha A. Rashid, Abdirahman Abdikarim Ali, Mohammed Taha Mohammed, Abdulkadir Mukhtar Diblawe, Mohd Rashidi Salim, Nuradin Mohamed Abdikadir, Abdullahi Aweis Afwah 2024 IEEE 22nd Student Conference on Research and Development Scored 2024, 2024 As urbanization and vehicle ownership continue to rise, parking challenges significantly contribute to traffic congestion, fuel wastage, and heightened carbon emissions, with drivers spending considerable time searching for available spaces. Traditional parking systems often fail to address these issues efficiently, while current smart parking solutions are hindered by high costs, communication delays, and limited scalability. This study introduces a cost-effective IoT-based Smart Parking System integrating real-time monitoring, automated gate operations, and Telegram-based notifications to enhance parking management. Utilizing ultrasonic and infrared sensors for precise vehicle detection, the system employs MQTT for seamless communication with the Favoriot cloud platform, ensuring robust data management and instant notifications. Automated gate control, executed through servo motors managed by a Raspberry Pi and orchestrated by Node-RED, ensures smooth operation. Results demonstrate that the system achieves 97% accuracy in slot occupancy detection, reduces parking search time by 40%, and ensures real-time notifications with less than a 1 -second delay. This scalable and user-friendly solution not only fills existing research gaps but also optimizes parking space utilization and promotes a sustainable urban environment by minimizing unnecessary vehicle emissions. The findings highlight the potential of IoT technologies to deliver efficient, real-time parking management for modern urban needs.
Smart Irrigation System Nuradin Mohamed Abdikadir, Abdikarim Abi Hassan, Husein Osman Abdullahi, Rozeha A. Rashid Ssrg International Journal of Electrical and Electronics Engineering, 2023 Smart irrigation systems powered by IoT technology are vital in agriculture. Traditional methods often harm plant health and wastewater. Conversely, IoT-driven smart irrigation enhances water management, boosts crop yield, and supports sustainable farming. It uses sensors, data analysis, and automation to gather and analyse real-time data for informed decisions and real-time control. The hardware comprises a central unit using Raspberry Pi and sensors measuring Temperature, Humidity, and soil moisture. Node-red manages data flow and decision-making by incorporating sensor data and external weather information. It links with the Favoriot platform for seamless data streaming, offering cloud storage and analysis. A predefined set of thresholds for soil moisture, humidity, and Temperature guides irrigation decisions. This system provides precise irrigation assessments, customization, and secure cloud storage. By optimizing water usage, enhancing crop health, and enabling remote monitoring and control, it promotes sustainable water management in agriculture.
RECENT SCHOLAR PUBLICATIONS
IOT-based Automatic Fish Feeding System AA Mohamed, NAB Muhammad, RA Rashid, MM Ahmed, AA Ali, ... 2024 IEEE 22nd Student Conference on Research and Development (SCOReD) , 2025 2025 Citations: 6
Integrating IoT Technologies for Smart Parking Management: A Cost-Effective System with Telegram-Based Real-Time Alerts MM Ahmed, RA Rashid, AA Ali, TM Mohammed, AM Diblawe, MR Salim, ... 2024 IEEE 22nd Student Conference on Research and Development (SCOReD) , 2025 2025 Citations: 1
Design and Development of a Microstrip Antenna Array with Beamforming Network Integration for Enhanced Gain and Directivity at 3.5 GHz MM Ahmed, AA Mohamed, AA Ali, NM Abdikadir, MR Salim, AM Diblawe, ... 2024 IEEE 22nd Student Conference on Research and Development (SCOReD) , 2025 2025 Citations: 2
Predicting Water Quality Parameters in Mahseer Fish Farming Using Machine Learning Techniques NM Abdikadir, AS Abdullah, HO Abdullahi, AA Hassan International Journal of Electronics and Communication Engineering 11 (11 … , 2024 2024
Smart Aquaculture: IoT-Enabled Monitoring and Management of Water Quality for Mahseer Fish Farming NM Abdikadir, AS Abdullah, HO Abdullahi, AA Hassan International Journal of Electrical and Electronics Engineering 11 (11), 84-92 , 2024 2024 Citations: 12
Antenna Array Design and its Integration with Beamforming Network AA Mohamed, NM Abdikadir, AA Ali, MM Ahmed International Journal of Electronics and Communication Engineering 11 (10 … , 2024 2024 Citations: 4
IoT Based Warehouse Management System Leveraging On RFID and Cloud Platform Technologies AA Ali, RA Rashid, NM Abdikadir, AA Mohamed, MM Ahmed 2024 IEEE International Conference on Advanced Telecommunication and … , 2024 2024 Citations: 10
Smart Irrigation System NM Abdikadir, A Abi Hassan, HO Abdullahi, RA Rashid SSRG International Journal of Electrical and Electronics Engineering 10 (8 … , 2023 2023 Citations: 35
MOST CITED SCHOLAR PUBLICATIONS
Smart Irrigation System NM Abdikadir, A Abi Hassan, HO Abdullahi, RA Rashid SSRG International Journal of Electrical and Electronics Engineering 10 (8 … , 2023 2023 Citations: 35
Smart Aquaculture: IoT-Enabled Monitoring and Management of Water Quality for Mahseer Fish Farming NM Abdikadir, AS Abdullah, HO Abdullahi, AA Hassan International Journal of Electrical and Electronics Engineering 11 (11), 84-92 , 2024 2024 Citations: 12
IoT Based Warehouse Management System Leveraging On RFID and Cloud Platform Technologies AA Ali, RA Rashid, NM Abdikadir, AA Mohamed, MM Ahmed 2024 IEEE International Conference on Advanced Telecommunication and … , 2024 2024 Citations: 10
IOT-based Automatic Fish Feeding System AA Mohamed, NAB Muhammad, RA Rashid, MM Ahmed, AA Ali, ... 2024 IEEE 22nd Student Conference on Research and Development (SCOReD) , 2025 2025 Citations: 6
Antenna Array Design and its Integration with Beamforming Network AA Mohamed, NM Abdikadir, AA Ali, MM Ahmed International Journal of Electronics and Communication Engineering 11 (10 … , 2024 2024 Citations: 4
Design and Development of a Microstrip Antenna Array with Beamforming Network Integration for Enhanced Gain and Directivity at 3.5 GHz MM Ahmed, AA Mohamed, AA Ali, NM Abdikadir, MR Salim, AM Diblawe, ... 2024 IEEE 22nd Student Conference on Research and Development (SCOReD) , 2025 2025 Citations: 2
Integrating IoT Technologies for Smart Parking Management: A Cost-Effective System with Telegram-Based Real-Time Alerts MM Ahmed, RA Rashid, AA Ali, TM Mohammed, AM Diblawe, MR Salim, ... 2024 IEEE 22nd Student Conference on Research and Development (SCOReD) , 2025 2025 Citations: 1
Predicting Water Quality Parameters in Mahseer Fish Farming Using Machine Learning Techniques NM Abdikadir, AS Abdullah, HO Abdullahi, AA Hassan International Journal of Electronics and Communication Engineering 11 (11 … , 2024 2024
