Nuradin Mohamed Abdikadir

@simad.edu.so

Faculty of Engineering
SIMAD University

https://researchid.co/nuradin

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

Scopus Publications

Scholar Citations

Scholar h-index

Scholar i10-index

Scopus Publications

Smart Aquaculture: IoT-Enabled Monitoring and Management of Water Quality for Mahseer Fish Farming
Nuradin Mohamed Abdikadir, Ahmad Shahidan Abdullah, Husein Osman Abdullahi, and Abdikarim Abi Hassan
Seventh Sense Research Group Journals
- 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.

Predicting Water Quality Parameters in Mahseer Fish Farming Using Machine Learning Techniques
Nuradin Mohamed Abdikadir, Ahmad Shahidan Abdullah, Husein Osman Abdullahi, and Abdikarim Abi Hassan
Seventh Sense Research Group Journals

Antenna Array Design and its Integration with Beamforming Network
Abdisalan Abdulkadir Mohamed, Nuradin Mohamed Abdikadir, Abdirahman Abdikarim Ali, and Mohamed Mohamud Ahmed
Seventh Sense Research Group Journals

IOT-based Automatic Fish Feeding System
Abdisalan Abdulkadir Mohamed, Nor Aishah Binti Muhammad, Rozeha A. Rashid, Mohamed Mohamud Ahmed, Abdirahman Abdikarim Ali, and Nuradin Mohamed Abdikadir
IEEE
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, and Abdullahi Aweis Afwah
IEEE
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, and Abdullahi Aweis Afwah
IEEE
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.

IoT Based Warehouse Management System Leveraging On RFID and Cloud Platform Technologies
Abdirahman Abdikarim Ali, Rozeha A. Rashid, Nuradin Mohamed Abdikadir, Abdisalan Abdulkadir Mohamed, and Mohamed Mohamud Ahmed
IEEE
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

Smart Irrigation System

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

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

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

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

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

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

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

Smart Irrigation System
NM Abdikadir, A Abi Hassan, HO Abdullahi, RA Rashid
SSRG International Journal of Electrical and Electronics Engineering 10 (8 2023

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
Citations: 14