

Motivated Ph.D. candidate in Computer Science (Cybersecurity) with a strong research focus on federated learning and XIoT malware detection. Adept at designing and evaluating advanced federated learning and deep learning models, conducting large-scale experiments, and publishing in peer-reviewed venues. Extensive background in investigating cybersecurity challenges across XIoT systems. In addition to academic research, I bring industry experience in SQL, PL/SQL, and Oracle Forms and Reports development. I am fully authorized to work in the United States and do not require employer sponsorship.
COMP 390: Social Implications of Computing
COMP 615: Operating Systems & Computer Architecture
COMP 322: Internet Systems
Instructor of Record (Spring 2026 (upcoming)) - North Carolina A&T State University, United States
COMP 322: Internet Systems
· Focus: Cyber Security, Deep Learning, Federated Learning, XIoT, and Malware Analysis.
· Contributions: Developed and evaluated deep learning and federated learning frameworks for IoT malware detection, leading to multiple peer-reviewed publications.
· Collaborations: Worked with faculty and graduate students on interdisciplinary research projects in cybersecurity.
· Publications:
· Peer Review Activities: Journal of Network and Computer Applications (JNCA) – Completed one peer review (2025).
Technical Skills: Oracle 10g (Database & Application), SQL, PL/SQL, Oracle Reports, Core Banking Systems (ICBS).
Technical Skills: Oracle 10g (Database & Application), PL/SQL, Oracle Forms & Reports, Core Banking Systems (ICBS).
Technical Skills: ERP Financial Systems, Oracle Database, SQL/PL-SQL.
Technical Skills: Oracle 9i/10g (Database & Application), PL/SQL, Oracle Forms & Reports, Core Banking Systems (ICBS).