Mr. Mohammed Almutairi | Cloud Computing | Best Researcher Award
PhD Student, University of Idaho, United States
🌟 Mohammed Almutairi is a passionate IT professional and dedicated educator with a strong foundation in computer science and cybersecurity. With a Master’s degree from Central Michigan University and teaching experience at the University of Hafr Al Batin, he brings a unique blend of academic expertise and technical skills to his work. Mohammed thrives on leveraging technology to benefit organizations and individuals, reflecting his ambition to make a meaningful impact in the tech world.
Publication Profile
Education
🎓 Mohammed earned his Master’s degree in Systems with a minor in Cybersecurity from Central Michigan University (2019–2021), achieving an impressive 3.83 GPA. Prior to this, he completed his Bachelor’s in Computer Science with a minor in Technology at Almajmaah University (2010–2014), graduating with a stellar 4.42 GPA.
Experience
👨🏫 Currently, Mohammed serves as a Lecturer at the University of Hafr Al Batin, where he teaches computer science and cybersecurity, guiding undergraduate students through lessons and assessments. 🖥️ As an IT Specialist at Salama Insurance Company (2021–2022), he worked on system development with C# and database management. 💻 Earlier roles include teaching computer skills at Taibah Institute (2017) and serving as an HR Assistant at Bin Laden (2014–2016), where he managed recruitment processes effectively.
Research Interests
📚 Mohammed’s research interests center around cybersecurity, systems, and programming. He is particularly drawn to exploring innovative solutions to enhance digital security and optimize system performance, reflecting his commitment to technological advancement.
Awards
🏆 Mohammed’s academic excellence has been recognized through his achievements, including graduating with distinction in both his Bachelor’s and Master’s programs. His consistent dedication to professional growth and education exemplifies his commitment to lifelong learning.
Publications
Cloud Security Using Fine-Grained Efficient Flow TrackingFuture Internet
DOI: 10.3390/fi16040110