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

 

Salvador Cunat | Digital Signatures | Best Researcher Award

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Mr. Salvador Cunat | Digital Signatures | Best Researcher Award

Researcher and Training at Polytechnic University of Valencia, Spain

Salvador Cuñat is a dedicated researcher at the Polytechnic University of Valencia (Universitat Politècnica de València, UPV), specializing in cybersecurity and IoT networks. He holds a Bachelor’s degree in Computer Engineering and a Master’s degree in Cybersecurity and Cyberintelligence from UPV. Salvador’s research interests encompass security measures for IoT devices, intrusion detection systems, and digital twin technology for industrial IoT environments. He has showcased his expertise through various projects and papers, contributing significantly to the field. Salvador’s professional journey includes roles as a computer engineer and researcher, reflecting his commitment to practical application and academic exploration. With a passion for innovation and problem-solving, Salvador continues to make valuable contributions to the cybersecurity landscape.

Profile:

Education:

Salvador Cuñat completed his Bachelor’s degree in Computer Engineering (Grado en Ingeniería Informática) at ETSINF, UPV, España, from 2016 to 2020. Subsequently, he pursued a Master’s degree in Cybersecurity and Cyberintelligence (Máster Universitario en Ciberseguridad y Ciberinteligencia) at the same institution from 2020 to 2022. Additionally, he attained a C2 level proficiency in English from Cambridge Assessment English.

Professional Experience

Salvador Cuñat pursued a Bachelor’s degree in Computer Engineering at ETSINF, UPV, España, from 2016 to 2020, followed by a Master’s degree in Cybersecurity and Cyberintelligence from 2020 to 2022. Alongside his academic journey, he attained a C2 level proficiency in English from Cambridge Assessment English. Salvador’s professional trajectory includes roles such as a Computer Engineer at F1-Connecting and Stadler Rail in Valencia, and as a Researcher for the Dataports and aerOS Projects at SATRD UPV, Valencia. These experiences, coupled with his expertise in intrusion detection systems, IoT security, ethical hacking, and software development, showcase his versatile skill set. Salvador’s dedication to academic excellence and practical application positions him as a promising figure in the fields of computer engineering, cybersecurity, and research.

Research Interest

Salvador Cuñat’s research interests primarily revolve around security and trust in IoT networks. Specifically, he focuses on the development of robust security measures to safeguard IoT devices and networks against cyber threats. His work delves into areas such as intrusion detection systems, malware analysis, and security incident management tailored for IoT environments. Additionally, Salvador explores the concept of Digital Twin technology and its applications in enhancing security for industrial IoT setups. Through his research, he aims to address the pressing challenges posed by the proliferation of IoT devices, ensuring their resilience against cyberattacks while fostering trust among users and stakeholders. Salvador’s contributions to the field are driven by a commitment to advancing cybersecurity solutions that can effectively mitigate risks in increasingly interconnected and digitized ecosystems.

Award and Honors

Salvador Cuñat has received notable awards and honors throughout his academic and professional journey. He was recognized as a finalist in the National Cyber League during the 2020 edition, showcasing his expertise and proficiency in cybersecurity. Additionally, Salvador’s contributions to the field include the development of an intrusion detection system on open software in 2020, demonstrating his innovative approach to addressing cybersecurity challenges. These accolades underscore Salvador’s dedication to excellence and his ability to make significant contributions to the cybersecurity domain.

Research Skills

Salvador Cuñat’s research skills are comprehensive and finely tuned, drawing from his academic and professional journey. He adeptly conducts literature reviews, identifying gaps and shaping research objectives. His expertise extends to designing experiments and methodologies tailored to address specific questions, ensuring the reliability of data collection. Proficient in various data analysis techniques, including statistical analysis and qualitative coding, Salvador derives meaningful insights from research findings. He excels in problem-solving within the cybersecurity domain, employing critical thinking and analytical reasoning to formulate innovative solutions. Technical proficiency in programming languages, database management, and software development facilitates the implementation of research projects and prototype development. Salvador effectively communicates research findings through presentations, reports, and scholarly publications, demonstrating clarity and coherence. Collaborating seamlessly with multidisciplinary teams, he leverages diverse perspectives to drive research projects forward collaboratively. Overall, Salvador’s research skills position him as a capable and versatile contributor to the advancement of knowledge in cybersecurity and related fields.