AZIZ ULLAH KARIMY

A highly motivated and reliable professional with extensive expertise in Microsoft Office, networking and security, and embedded systems. Demonstrates strong skills in networking, cloud computing, and cybersecurity measures implementation. Proficient in Microsoft Azure and computer networking, with a proven track record in desktop support and network configuration. Known for excellent written and verbal communication skills, effective decision-making, and efficient time management. Committed to teamwork and continuous improvement in remote desktop support capabilities.

• Certified Ethical Hacker, 04/20/21 - 04/19/24, Network packet analysis and system penetration testing techniques to build network security skill-set and prevent hackers.
• Microsoft Azure Fundamentals, 09/18/20 - CURRENT

Peer Reviewed Conference paper "AI in Online Educational Access: Breaking Barriers for Female Learners " IEEE 21st International Conference on Information Technology Based Higher Education and Training (ITHET), 6 - 8 November 2024 | Paris, France

IEEE, DOI: 10.1109/ITHET61869.2024.10837681

Peer reviewed Conference Paper "A Review on the Feasibility of AI-supported Education Platforms in Afghanistan: Addressing Barriers to Women and Girls' Education, 14th IEEE Global Humanitarian Technology Conference (GHTC) Technology for the Benefit of Humanity /Villanova University, USA / October 23-26, 2024, DOI: 10.1109/GHTC62424.2024.10771581

Peer Reviewed Journal "A lightweight distributed ELM-based security framework for the internet of vehicles", Indonesian Journal of Electrical Engineering and Computer Science, Vol. 35, No. 3, September 2024, Indonesian Journal of Electrical Engineering and Computer Science, DOI: 10.11591/ijeecs.v35.i3.pp1702-1709

Peer Reviewed Journal "Enhancing IoT Security: A Novel Approach with Federated Learning and Differential Privacy Integration", International Journal of Computer Networks & Communications (IJCNC), Vol. 16, No. 4, July 2024, Academy and Industry Research Collaboration Center (AIRCC), DOI: 10.5121/ijcnc.2024.16401

https://doi.org/10.5121/ijcnc.2024.16401

Peer Reviewed Conference Paper "Analyzing Federated Learning as a novel approach for enhancing security and privacy in the Internet of Things (IoT)", 2024 Fourth International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT), Bhilai, India, IEEE, DOI: 10.1109/ICAECT60202.2024.10468686

Peer Reviewed Journal "Performance Analysis of Tree-Based and Deep Learning Algorithms for Developing Distributed Secure Systems in IoT: A Comparative Study", International Journal of Advanced Research in Science, Communication and Technology (IJARSCT), Volume 4, Issue 5, March 2024, IJARSCT, DOI:10.48175/IJARSCT-16656