Mahabuba Abdulrahim

@hct.ac.ae

Electrical Engineering Faculty Member
Higher Colleges of Technology, Dubai, United Arab EMirates

Mahabuba Abdulrahim


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https://researchid.co/mahabuba
Lecture, Senior Lecturer and Assistant Professor in B.S.A. Crescent Engineering College, Chennai, India.

Instructor and Assistant Professor, Al Ghurair University, Dubai, U.A.E.

Electrical Engineering Faculty, Institute of Applied Technology, Ajman, U.A.E

Lecturer, Dubai Men’s College, Higher Colleges of Technology, Dubai, U.A.E.

Teaching Interests: Power generation and Transmission; Electrical Power Distribution; Electrical Machines, Engineering Electromagnetics; Electric Circuits; Control Systems ; Advanced Power Systems.

I love teaching; Teaching is always my passion. I feel younger when I am doing my teaching and learning process with my students; I love travelling and listening to good music.

EDUCATION

2003 to 2009 | PhD (Power System Engineering Department)-Anna University, Chennai, India
2000-08-01 to 2003-01-03 | ME (Instrumentation Engineering) Anna University-Chennai ,India
1990-1994 BE (Electrical and Electronics Engineering) University of Madras, Chennai, India

RESEARCH, TEACHING, or OTHER INTERESTS

Electrical and Electronic Engineering, Control and Systems Engineering, Renewable Energy, Sustainability and the Environment, Biomedical Engineering

FUTURE PROJECTS

Integration of Advanced Technologies for Energy Storage Systems

The transition to renewable energy is a global priority as we seek to mitigate climate change and reduce dependency on fossil fuels. Solar and wind energy, two of the most widely adopted renewable sources, present unique challenges due to their intermittent and variable nature. Energy storage systems are critical in addressing these challenges, ensuring a stable and reliable power supply. However, conventional energy storage systems struggle to efficiently manage the rapid fluctuations inherent in renewable energy generation. This proposal seeks to develop a Hybrid Energy Storage System (HESS) that integrates supercapacitors, lithium-ion batteries, and multi-level inverters. The aim is to enhance the overall performance, efficiency, and reliability of hybrid solar-wind energy systems by leveraging the strengths of each component: supercapacitors for rapid response to power fluctuations, batteries for long-term energy storage, and multi-level inverters for high power quality.


Applications Invited
Researchers

Smart Guard: Advanced Wearable Health Monitoring and Alert System

The "Smart Guard: Advanced Wearable Health Monitoring and Emergency Alert System" is designed to enhance personal health monitoring through an integrated wearable device that tracks critical health metrics, including heart rate, body temperature, blood oxygen levels, diabetes management, stress level, GPS location, electrical activity of the heart (ECG), and it also detects when a person falls due to any health issue. This system aims to provide real-time monitoring and emergency alerts, making it particularly valuable for individuals with chronic health conditions, elderly people and athletes. The wearable device utilizes advanced sensors and microcontrollers to continuously gather and analyze data, which is then transmitted to a mobile application for real-time tracking and alerting. In case of an abnormal health event, such as a fall or a significant deviation in vital signs, the system automatically sends an alert to pre-configured emergency contacts with the wearer’s GPS location.


Applications Invited
Researchers
14

Scopus Publications

Scopus Publications

  • Counting and Improving Image Quality in Underwater Environments Using Hybrid Otsu Segmentation and Blob Analysis for Fish Population Assessment
    D. Najumnissa Jamal, R. Karthikha, Mahabuba Abdulrahim, M. S. Murshitha Shajahan, S. Syed Rafiammal
    Lecture Notes in Electrical Engineering, 2026
  • Advanced hybrid control strategy for a 19-level asymmetrical multilevel inverter in grid-connected hybrid renewable energy systems
    Dr. T. Porselvi, D. Obulesu, A. Mahabuba
    Energy, 2025
  • A HBA Approach based Reactive Power Market Clearing and Settlement Using DC Participant Based Distributed Slack OQF Model
    K. Sarmila Har Beagam, A Mahabuba, R Jayashree, Jennathu Beevi Sahul Hameed
    Ieie Transactions on Smart Processing and Computing, 2025
  • Mapping Affective Dynamics in EEG Through Unsupervised Data Partitioning
    Karthikha R, Najumnissa Jamal D, Mahabuba Abdulrahim, Ahmed Mohd Abdulla Salim Al Ali, Bshayer Meshal Tayeb Hanafi Almadan
    2025 10th International Conference on Information Technology Trends Itt 2025, 2025
  • Enhancing Solar Panel Efficiency through Cost-Effective Cooling Strategies
    S. Jennathu Beevi, A. Mahabuba, S. Karthick Gopinath, S. Visaga Varshini, A. Shoaib, et al.
    Key Engineering Materials, 2025
    This study addresses the critical challenge of maintaining optimal temperatures in solar panels to maximize energy conversion efficiency. Efficient cooling is essential to mitigate performance degradation due to elevated temperatures. Our research proposes a novel and cost-effective cooling system designed to enhance solar panel performance under varying environmental conditions. The system integrates a 2 mm thick copper plate with attached copper tubes, facilitating the flow of 10°C cold water across the panel's backside. Additionally, a precision water spraying system delivers 0.5 liters per minute on the panel's surface. To bolster passive cooling, we incorporate paraffin wax alongside copper plates as phase change materials (PCMs), leveraging its high latent heat storage capacity to absorb excess heat effectively. Operational oversight is managed by an Arduino UNO, continuously monitoring real-time temperature data from DS18B20 sensors placed strategically at 10 cm intervals. Activation thresholds (typically set between 25°C to 30°C) automatically engage cooling mechanisms to maintain optimal operating conditions. Water pumps, operating at a sustainable flow rate of 3 liters per minute, are powered by auxiliary solar panels, ensuring minimal operational costs and environmental impact. Our findings underscore the efficacy of this integrated cooling approach in reducing solar panel temperatures, thereby enhancing overall efficiency and sustainability. This cost-effective solution holds significant promise for advancing solar energy technologies, contributing to economic viability and environmental conservation in solar power generation.
  • Enhancing Colonoscopy Image Resolution Employing Scaling and Interpolation
    Karthikha R, Najumnissa Jamal D, Mahabuba Abdulrahim, Syed Rafiammal S
    Advances in Science and Engineering Technology International Conferences Aset, 2024
    Colonoscopy is an important diagnostic tool in the field of medicine, allowing for a thorough examination of the colon's interior and the critical detection of abnormalities. The quality of the images acquired during a colonoscopy procedure is critical in the diagnostic process, influencing lesion detection, precise localization of abnormalities, and overall diagnostic confidence. In this comprehensive investigation, we delve into the numerous factors that have a significant impact on image quality in colonoscopy. These factors, which include resolution, contrast, colour representation, sharpness and clarity, and noise, are fundamental to medical practice and patient care. The main aim of this work is to improve the image quality specifically by the application of resolution enhancement technique. The quality of the resulting image depends on the chosen scaling factor and the types of interpolation methods namely Nearest Neighbour, Bilinear, Lanczos windowed sinc and bicubic interpolation adopted during the process. The results obtained from this work demonstrate that adapting the scaling factor of 2 and the Lancozs interpolation method provides the image with better quality when compared to the original image with PSNR and SSIM values of 35.5 and 0.92 respectively. The quality of the image is evaluated by using the metrics Peak-Signal-to-Noise -ratio (PSNR) and Structural Similarity Index (SSIM). Higher PSNR and SSIM values are often required to ensure diagnostic accuracy which aids in the early detection of abnormalities and precise localization, which can be life-saving in colorectal conditions.
  • A Novel LA-MFO Technique based Vehicle to Grid Control Mechanism for Automatic Generation Control in Deregulated Power System
    International Journal of Intelligent Systems and Applications in Engineering, 2023
  • Power flow management of hybrid system in smart grid requirements using ITSA-MOAT approach
    T. Logeswaran, M. Senthil Raja, Jennathu Beevi Sahul Hameed, Mahabuba Abdulrahim
    Applied Energy, 2022
  • Optimal Design of Controller for Automatic Generation Control in Multi Area Restructured Power System with Battery Energy Storage and Wind Energy Systems
    Ashfaq Ur Rehman Mohamed Riazuddin, Mahabuba Abdulrahim, Jennathu Beevi Sahul Hameed, Jayashree Ramasubramaniam
    International Journal of Engineering Trends and Technology, 2021
  • Design of a robust and adaptive fuzzy-logic-based power system stabilizer (RAFLPSS) for damping low frequency electromechanical oscillations
    Mahabuba Abdurrahim, Abdullah Khan M., Ali Ahmed Edriss
    Proceedings of SPIE the International Society for Optical Engineering, 2012
    This paper presents a design procedure for a Robust and Adaptive Fuzzy Logic based Power System Stabilizer (RAFLPSS) to improve the small signal stability of Power System. The parameters of RAFLPSS are tuned by adaptive neural network. This RAFLPSS uses ANFIS network (Adaptive Network based Fuzzy Inference System) which provides a natural framework of multi-layered feed forward adaptive network using fuzzy logic inference system. In this approach, the hybrid-learning algorithm tunes the fuzzy rules and the membership functions of the RAFLPSS. The dynamic performance of SMIB system with the proposed RAFLPSS under different operating conditions and change in system parameters has been investigated. The simulation results obtained from the conventional PSS (CPSS) and Fuzzy logic based PSS (FPSS) are compared with the proposed RAFLPSS. The simulation results demonstrate that the proposed RAFLPSS performs well in damping and quicker response when compared with the other two PSSs.
  • Sequential tuning of power system stabilizers for improving the small signal stability in multi-machine power systems
    Lecture Notes in Engineering and Computer Science, 2012
  • Small signal stability enhancement of a multi-machine power system using robust and adaptive fuzzy neural network-based power system stabilizer
    A. Mahabuba, M. Abdullah Khan
    European Transactions on Electrical Power, 2009
  • PSS parameters tuning using genetic algorithm
    M. Abdulrahim, Zakaria Fadl Almoula, Hafid Al-Hafid, Nader Barsoum, Sermsak Uatrongjit, et al.
    Aip Conference Proceedings, 2008
  • Microcontroller based computer control of robot arm for sorting of objects
    Proceedings of the IASTED International Conference on Robotics and Applications, 2004