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Samuel K Erskine

ASSISTANT PROFESSOR
EMAIL
PHONE
850-599-8899
OFFICE
Computer & Information Systems

Office Hours

Commons, G136

Mon/Wed : 9:30am-1:00pm
Tue/Thurs : 9:00am-10:30am
Saturday Office hours: noon-2:00pm

Current Semester Schedule

CIS4385C_C01_2258 Digital Forensics • Mon. Wed. — 2:30 p.m. - 3:45 p.m.
CIS1920_301_2258 Professional Development 1. Tue/Thurs-- 11:00am - 12:15pm
CNT4603E_501_2258 Network System Administration • Online Saturday— office12:00 p.m. - 2:00 p.m.
CIS4385CE_501_2258 Digital Forensics • Online Saturday— office 12:00 p.m. - 2:00 p.m.

About Me

Dr. Samuel Kofi Erskine holds a PhD in Computer Science/Cybersecurity and Engineering. Dr. Erskine’s research interest spans Vehicular ad hoc networks, wireless sensor networks, and concepts and practices of Cybersecurity. He is also knowledgeable and uses Artificial Intelligence, machine learning, and deep neural networks, fog computing with cloud-based integration, optimization algorithms, methods, and techniques for his current research and project.
Dr. Erskine’s latest published work involves developing AI/ML models, including Secure and Privacy Preservation of IEEE Sensor Technologies, and 6G networks in healthcare applications and underwater sensor technologies for ship navigation. He has also published many of his research works in reputable journals. He is also currently working with Artificial Intelligence and Machine learning models, working on a Dataset in wireless technologies to detect attacks, which improves cybersecurity concerns in wireless IoT datasets.

Areas of Interest

  • Mentoring
  • Research
  • Hiking
  • Soccer

Education

 
  • Ph.D. in Computer Science and Engineering • 2020
    University of Bridgeport CT. USA
  • Ms. in Telecommunications • 2009
    George Mason University VA. USA
  • Grad Cert in Telecommunications • 2008
    George Mason University VA. USA

Work History

  • Assistant Professor • 2022 - Present
    Florida A&M University (FAMU), Tallahassee, FL. USA
  • Visiting Assistant Professor • 2021 - 2022
    University of Pittsburg , Bradford, PA. USA
  • PhD Researcher • 2013 - 2020
    University of Bridgeport (UB), Bridgeport, CT. USA

Academic Accomplishments

  • Erskine SK. Real-Time Large-Scale Intrusion Detection and Prevention System (IDPS) CICIoT Dataset Traffic Assessment Based on Deep Learning. Applied System Innovation. 2025; 8(2):52. https://doi.org/10.3390/asi8020052
  • Erskine, Samuel Kofi. 2024. "Secure Data Aggregation Using Authentication and Authorization for Privacy Preservation in Wireless Sensor Networks" Sensors 24, no. 7: 2090. https://doi.org/10.3390/s24072090.
  • Erskine, Samuel Kofi, Hongmei Chi, and Abdelrahman Elleithy. 2023. "SDAA: Secure Data Aggregation and Authentication Using Multiple Sinks in Cluster-Based Underwater Vehicular Wireless Sensor Network" Sensors 23, no. 11: 5270. https://doi.org/10.3390/s23115270.
  • Taiwo Ojo, Hongmei Chi, and Samuel Kofi Erskine. “Unmanned Aerial Vehicle Forensics Investigation Performance under Different Attacks. April 2023 DOI:10.1109/CSCI58124.2022.00235 Conference: International Conference on Computational Science and Computational Intelligence (CSCI). LAS VEGAS, USA.
  • Erskine, S.K.; Chi, H.; Elleithy, A. SDAA: Secure Data Aggregation and Authentication Using Multiple Sinks in Cluster-Based Underwater Vehicular Wireless Sensor Network. MDPI Sensors 2023, 23, 5270. https://doi.org/10.3390/s23115270.
  • Samuel Kofi Erskine and Khaled M. Elleithy, "Real-Time Detection of DoS Attacks in IEEE 802.11p Using Fog Computing for a Secure Intelligent Vehicular Network," Electronics 2019, 8(7), MDPI, pp. 776-811.
  • Samuel Kofi Erskine and Khaled M. Elleithy, "Secure Intelligent Vehicular Network Using Fog Computing," Electronics 2019, 8(4), MDPI, pp. 455-479.
  • S Erskine, H Bajwa. A. ASEE 2014 Zone I Conference.
  • S Erskine, C Bach, A secure smartphone platform for efficient communication in an emergency situation. International Journal of Research in Business and Technology 3 (2).
  • SK Erskine, KM Elleithy, L Zhang Hierarchical Cluster-Based FIFO Asynchronous Data Transfer Technique for Reducing Congestion for Energy Efficient State Wireless Sensor Network-HAEEW. International Journal of Scientific and Engineering Research.
  • Samuel Erskine, Ziengpieng WU Securing the IEEE 802.16 OFDM WiMAX Physical and MAC Layer Using STBC Coding and Encryption. https://arxiv.org/pdf/1309.5069.


Presentations as National and International Speaker:

  • S Erskine, H Bajwa. A Survey of Comparison in Classification of Transport Control Protocol for Energy-Efficient Wireless Sensor Network. ASEE 2014 Zone I Conference. USA University of Bridgeport.
  • Erskine, Samuel Kofi, Hongmei Chi, and Abdelrahman Elleithy. 2023. "SDAA: Secure Data Aggregation and Authentication Using Multiple Sinks in Cluster-Based Underwater Vehicular Wireless Sensor Network" Sensors 23, no. 11: 5270. https://doi.org/10.3390/s23115270.
  • Samuel Erskine - Expertise and Research: Sensors and Sensing Tech Summit-2024: Edinburgh | UK.
  • Erskine Samuel, An Invitation to Present: Sensors Research-eCon2024 Speaker Opportunity.
  • Erskine Samuel ElectroRes-eCon2023 (Edition 1)- Invited Speaker.

Awards

  • Awarded the PhD researcher scholarship Assistantship.
  • Selected to participate in the GIF (Governor Innovation Fellowship) award.
  • Only Faculty nominated and awarded NCyTE (NSF National Cybersecurity training education program-award $5000

Courses Taught At FAMU

  • CNT4504E_501_2255 Data Communications and Organizational Network
  • CIS4250E_501_2253 Computer Ethics and Professional Response
  • CIS5370_301_2238 Computer Security
  • CNT5415_301_2243 Applications to Computer Network Security
  • CGS2060CE_503_2248 Computer Literacy I
  • CIS4360E_501_2243 Introduction to Computer Security
  • CIS1920_301_2253 professional Development I
  • CNT4406E_501_2238 Network Security and Cryptography
  • CIS5970_602_2238 Thesis

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