
Jitender Sharma
Assistant Professor
PhD Cybersecurity (Shoolini University); MCA (HPU)
Jitender Sharma is an Assistant Professor at the Yogananda School of AI, Computer, and Data Sciences, Shoolini University. He holds a PhD in Cybersecurity from Shoolini University. Prior to this, he completed his Bachelor's and master’s degrees in computer applications from Himachal Pradesh University, Shimla.
His research interests encompass artificial intelligence, machine learning, Cybersecurity, and Intrusion Detection System, making significant contributions to the evolving domains of computer science, artificial intelligence and data science and Cyber world. He has published research papers in prestigious IEEE and SCIE-indexed journals and has actively participated in numerous international conferences.
Asst Prof Sharma is an accomplished IT professional with nearly seven years of hands-on experience at Shoolini University, specialising in network administration and infrastructure management.
He has successfully completed industry-recognised certifications, including the Cisco Certified Network Associate (CCNA), along with professional training in PHP and Java. These credentials have strengthened his expertise in network configuration, server-side scripting, and software development.
Throughout his tenure, he has been responsible for network troubleshooting, configuration of routers and switches, implementation of network security measures, and ensuring seamless connectivity across campus-wide infrastructure. His experience reflects a strong commitment to maintaining secure, reliable, and high-performance network systems.
Publications
- Sharma, J., Sonia, Kumar , K., Jain, P., Alfilh, R. H. C., & Alkattan, H. (2025). Enhancing Intrusion Detection Systems with Adaptive Neuro-Fuzzy Inference Systems. MesopotamianJournalofCyberSecurity, 5(1),110. https://doi.org/10.58496/MJCS/2025/001
- Sharma, Jitender & Garg, Sonia & Kumar, Karan & Boulouard, Zakaria & Aderemi, Adedapo & Iwendi, Celestine. (2025). Utilizing Adaptive Neuro-Fuzzy Inference Systems (ANFIS) for Intrusion Detection Systems. 10.1007/978-3-031-94620-2_2. https://doi.org/10.1007/978-3-031-94620-2_2.(ICACTCE 2024)
- Efficient Intrusion Detection System using Deep Neural Networks with Grey Wolf Optimizer Submission ID 9e91486e-678b-45e0-a778-c302573b9f54 PDF Generation 03 Oct 2024 00:34:44 EST by Atypon ReX
- Jitender Sharma, Sonia, Pankaj Jain, Manoj Kumar, “A comprehensive Analysis ofClassical Machine Learning Algorithms for Intrusion Detection Systems”, Archives of Computational Methods in Engineering. (Under Review)
Contact Details:
E mail id: jitendersharma@shooliniuniversity.com
LinkedIn profile: linkedin.com/in/dr-jitender-sharma-52a07a252
