Simeon Ogunbunmi | Privacy and Security | Best Researcher Award

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Mr. Simeon Ogunbunmi, Privacy and Security, Best Researcher Award

Simeon Ogunbunmi at Binghamton University, United States

Mr. Simeon Ogunbunmi is a highly motivated computer engineering doctoral candidate at Binghamton University, State University of New York. He holds a Master of Science degree in Electrical and Computer Engineering from Binghamton University, which he earned in August 2024. Prior to his master’s degree, he completed his Bachelor of Technology in Computer Science and Engineering at Ladoke Akintola University of Technology, Nigeria. Mr. Ogunbunmi has professional experience in leveraging network architecture, machine learning, cybersecurity, and cryptography to enhance trust and reputation system mechanisms. He has developed reputation systems for IoT using blockchain technology, with a focus on security and efficiency. Proficient in Python, MATLAB, and Java, Mr. Ogunbunmi is seeking research-intensive internships to further advance reputation, trust, privacy, and security systems.

Profile:

Education:

Mr. Simeon Ogunbunmi is currently pursuing a Doctor of Philosophy in Electrical and Computer Engineering at Binghamton University, State University of New York, Thomas J. Watson College of Engineering and Applied Science, with an expected graduation date of May 2027. He earned his Master of Science in Electrical and Computer Engineering from the same institution in August 2024, achieving a perfect cumulative GPA of 4.00/4.00. During his master’s program, he was awarded the 2023 and 2024 Provost’s Doctoral Summer Fellowship. His coursework included Computer Network Architecture, Computer Design, Machine Learning, Digital Communication, Network Security, Cryptography and Info Security, Mathematical Modeling, Advanced Engineering Analytics, Statistical Methods for Data Science, and Quantum Computing. Previously, Mr. Ogunbunmi completed his Bachelor of Technology in Computer Science and Engineering at Ladoke Akintola University of Technology in Ogbomoso, Nigeria, in April 2022, with a cumulative GPA of 3.75/4.00. He ranked 3rd in his class and was recognized for his outstanding contribution to students’ life. His coursework covered a wide range of topics, including Decision Support Systems, Integrated Circuits, Data Communication and Networks, Expert Systems, Digital Signal Processing, Modeling and Simulation, Artificial Intelligence, Control Engineering, Computer Networks, Applied Probability and Statistics, Engineering Management, and Engineering Project Management.

Professional Experience:

Mr. Simeon Ogunbunmi has a diverse range of professional experiences that showcase his expertise in computer engineering. As a Graduate Research Assistant at Binghamton University, he contributed significantly to the development of a reputation system for Unmanned Aerial Vehicle (UAV) systems using blockchain technology. His responsibilities included designing and implementing temperature settings using Python and Raspberry Pi hardware, analyzing and synthesizing data using R and MS-Excel, and conducting rigorous testing to prevent attacks and data tampering. In his role as a Remote Temperature Control System Intern at Hub Controls, Mr. Ogunbunmi researched existing solutions to build heat pump machines using Python and Linux, contributing to projects that measured atmospheric conditions and connected devices using Wi-Fi and Bluetooth technologies. These experiences demonstrate his ability to apply his skills in real-world settings, ensuring effective and efficient solutions in the fields of network architecture, machine learning, and cybersecurity.

Research Interest:

Mr. Simeon Ogunbunmi’s research interests encompass several cutting-edge areas within computer engineering. He is particularly interested in reputation systems for Internet of Things (IoT) devices, leveraging blockchain technology for enhanced security and efficiency. His work in this area focuses on developing robust mechanisms to ensure data integrity and trustworthiness in IoT ecosystems. Additionally, he is passionate about machine learning applications in cybersecurity, exploring ways to enhance threat detection and response using advanced algorithms and data analytics. Overall, Mr. Ogunbunmi’s research interests align with the forefront of technological advancements, aiming to contribute innovative solutions to pressing challenges in network security, trust, and privacy.

Technical Skills:

Mr. Simeon Ogunbunmi boasts a robust technical skill set, reflecting his diverse expertise and extensive experience in computer engineering. He is proficient in various programming languages, including Python, Java, JavaScript, C, CSS, and HTML, enabling him to tackle a wide range of development and engineering challenges. His software and operating system proficiencies encompass MATLAB, SPSS, Microsoft Word, Microsoft Excel, LaTeX, Microsoft Project, Fusion 360, and Linux, showcasing his versatility and adaptability across different platforms and tools. Additionally, Mr. Ogunbunmi is fluent in English and Yoruba, further enhancing his communication skills and cultural adaptability. He has also earned several certifications, including DevOps Fundamentals, Software Architecture, CompTIA Cloud+ Basic, Artificial Intelligence in Web Design, SQL Bootcamp with MySQL, and PHP & Python, demonstrating his commitment to continuous learning and professional development.

Publications:

A digital twins enabled reputation system for microchain-based UAV networks

  • Authors: Q. Qu, S. Ogunbunmi, M. Hatami, R. Xu, Y. Chen, G. Chen, E. Blasch
  • Conference: 2023 IEEE 12th International Conference on Cloud Networking (CloudNet)
  • Year: 2023
  • Pages: 428-432
  • Citations: 2

A Lightweight Reputation System for UAV Networks

  • Authors: S. Ogunbunmi, M. Hatami, R. Xu, Y. Chen, E. Blasch, E. Ardiles-Cruz, A. Aved, …
  • Conference: International Conference on Security and Privacy in Cyber-Physical Systems
  • Year: 2023
  • Citations: 2

A Survey on Reputation Systems for UAV Networks

  • Authors: S. Ogunbunmi, Y. Chen, E. Blasch, G. Chen
  • Journal: Drones
  • Year: 2024
  • Volume: 8
  • Issue: 6
  • Article Number: 253