Zubaida Rehman- IoT security – Best Researcher Award

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Zubaida Rehman- IoT security

Dr.   Zubaida  Rehman distinguished academic and researcher in the field IoT security. The focal point of her research was to enhance energy production while minimizing wake effects, a challenge that she addressed effectively through the application of Genetic Algorithms. This comprehensive study not only deepened her understanding of cutting-edge technologies in the field but also contributed to the ongoing discourse surrounding sustainable energy solutions.

Education

From 2012 to 2015, she pursued her Master of Computer Science at the National University of Computer and Emerging Sciences in Islamabad, Pakistan. Throughout this academic journey, she specialized in various domains such as Computational Intelligence, Advanced Databases, Cloud Computing, and Evolutionary Computation. The culmination of her academic endeavors was manifested in her research thesis, where she delved into the intricate realm of the Wind Turbine Layout Optimization Problem. Employing the innovative approach of Genetic Algorithms, she endeavored to optimize the layout design by incorporating diverse turbine sizes.

Professional Profiles:

Research Interest
With a diverse set of technical skills and a keen interest in cutting-edge research, she has a strong foundation in data science, encompassing data analysis and business analytics. Her expertise extends to areas such as cybersecurity, Internet of Things (IoT), and machine learning. Adept in computational intelligence, she excels in addressing real-world optimization problems with a focus on cost-effective and efficient analyses. Her proficiency in big data management within cloud environments is demonstrated through her work on effective scheduling for incoming data stream processing.
Work Experience
Her professional journey includes roles as a Software Engineer at KN Technologies Islamabad (Part Time) from January 2016 to December 2016, where she contributed to projects developed in C, C#, and PHP, demonstrating her skills in project planning and execution. As a Software Developer at Technology Architect Islamabad from January 2014 to December 2015, she engaged in the design and testing of ongoing projects, particularly focusing on Infinite-Space Shortest Path Problems and Semicontractive Dynamic Programming.
In the academic realm, she has made notable contributions with research papers published in renowned conferences such as IEEE Conference on Cloud Computing and Big Data Analysis 2016. Her survey paper on “Survey on Branch Prediction Techniques” was published in RJIIT 2017. She has further showcased her research acumen through term papers and reviews, including topics like the automatic design of multi-objective ant colony optimization algorithms, emerging trends in cloud computing, imperfect distributed learning in traffic light control, and a survey paper on the Rapid Multi-Agent Development Toolkit. Through her extensive academic and professional background, she continues to be a valuable asset in the intersection of technology, research, and software development.
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