Posted on by ScienceFather
70 / 100
Powered by Rank Math SEO
SEO Score

Assist Prof Dr. Samuel Erskine | Sensors and Actuators | Best Researcher Award

Assist Prof Dr. Samuel Erskine, Florida A&M University,United States

Samuel Kofi Erskine, Ph.D., is an accomplished scholar and professional with a distinguished background in computer science and engineering. Dr. Erskine earned his Ph.D. from the University of Bridgeport in 2020, with a dissertation focused on the “Secure Intelligent Vehicular Network Including Real-Time Detection of DoS Attacks in IEEE 802.11P Using Fog Computing.” He also holds an M.S. in Telecommunications and a Graduate Certificate in Advanced Network Protocols from George Mason University. His expertise spans computer network software engineering, Agile testing, simulation and modeling, and research in AI/ML cybersecurity applications and wireless 5G & 6G computing technologies. Currently serving as an Assistant Professor and Graduate Cybersecurity Coordinator at Florida A&M University, Dr. Erskine’s roles involve teaching, curriculum development, research in next-generation computing wireless technologies, and administrative oversight of the graduate cybersecurity program. His professional experience includes positions such as a Visiting Assistant Professor at the University of Pittsburgh, a Network Security Engineer at Sprint, and a remote AI Writing Evaluator for Outlier USA. Dr. Erskine has also contributed significantly to academic literature, serving as a reviewer for IEEE and MDPI research journals, and has been recognized with several awards, including a Ph.D. researcher scholarship assistantship and the NCyTE award for cybersecurity training.

 

Professional Profile

Education 🎓:

  • Ph.D. in Computer Science and Engineering from the University of Bridgeport, CT, USA (2020), with a dissertation titled “Secure Intelligent Vehicular Network Including Real-Time Detection of DoS Attacks in IEEE 802.11P Using Fog Computing.”
  • M.S. in Telecommunications from George Mason University, Fairfax, VA, USA (2008).
  • Graduate Certificate in Advanced Network Protocols in Telecommunications from George Mason University (2008).

Software Skills 💻:

  • Proficient in Python, C++, and MATLAB.

Certifications 🎖️:

  • Introduction to Machine Learning for Cybersecurity Course (UWF – Florida Cybersecurity Training Program, 2023).
  • Data Security Course (UWF – Florida Cybersecurity Training Program, 2023).

Professional Experience 💼:

  • Assistant Professor and Researcher at Florida A&M University (2022-present), focusing on next-generation computing wireless technologies and NSF-funded research proposals.
  • Graduate Cybersecurity Coordinator at Florida A&M University (2023-present), overseeing the graduate program and advising students.
  • Undergraduate Research Mentor at Florida A&M University (Summer 2023).
  • Visiting Assistant Professor at the University of Pittsburgh, Bradford (2021-2022), teaching cybersecurity courses.
  • Ph.D. Researcher and Graduate Teaching Assistant at the University of Bridgeport (2013-2020), focusing on AI and deep neural learning methods.
  • Network Security Engineer at Sprint, Reston, VA (2007-2008).
  • Research Journal Reviewer for IEEE Journal & MDPI (2004-present).

Awards 🏆:

  • Ph.D. researcher scholarship Assistantship.
  • Governor Innovation Fellowship (GIF) award.
  • NCyTE (NSF National Cybersecurity Training Education Program) Faculty award.

University Service 🏫:

  • CIS Department Graduate Cybersecurity Coordinator (2023-present).
  • CIS Department Research Mentor (Summer 2023).

Book Chapters 📖:

  • “Secure Intelligent Vehicular Network Including Real-Time Detection of DoS Attacks in IEEE 802.11P Using Fog Computing” (University of Bridgeport, USA).

Publications Notes:📄

Secure Data Aggregation Using Authentication and Authorization for Privacy Preservation in Wireless Sensor Networks
SDAA: Secure Data Aggregation and Authentication Using Multiple Sinks in Cluster-Based Underwater Vehicular Wireless Sensor Network
Secure Intelligent Vehicular Network Using Fog Computing

 

 

 

 

Assist Prof Dr. Samuel Erskine | Sensors and Actuators | Best Researcher Award

You May Also Like