Manoj Kumar

Manoj Kumar obtained his Ph.D. Computer Science from The Northcap University, Gurugram. He did his B. Tech in computer science from Kurukshetra University. He obtained M. Sc. (Information Security and Forensics) degree from ITB, Dublin in and M. Tech from ITM University. Mr. Kumar has 9.5+ years of experience in research and academics. He published over 29 publications in reputed journals and conferences. He published 2 books and 5 patents with his team. Presently, Mr. Kumar is working on the post of assistant professor (SG), (SoCS) in university of petroleum and energy studies, Dehradun. He is a member of various professional bodies and reviewed for many reputed journals. He is Editorial Board Member in The International Arab Journal of Information Technology (IAJIT), Jordon and Journal of Computer Science Research, Singapore. He is recognized as Quarterly Franklin Member (QFM) by London Journal Press from March 2019 onwards and Bentham Ambassador (India) on behalf of Bentham Science Publisher. He delivered various key speech and talks in national and international forums. He got best researcher award 2020 from ScenceFather research community.

Publications

Application of Artificial Intelligence in Cybersecurity
Geetika Munjal, Biswarup Paul, Manoj Kumar. © 2024. 20 pages.
Cybersecurity is the knowledge and practice of defending computers, mobile devices, servers, electronic devices, networks, and precious data from malicious attacks. Traditional...
A Guide to Digital Forensic “Theoretical to Software-Based Investigations”
Preeti Sharma, Manoj Kumar, Hitesh Kumar Sharma. © 2023. 30 pages.
A branch of forensic science called “digital forensics” deals with the utilization of digital data received, maintained, and conveyed by electronic devices as evidence in...
Amazon Product Dataset Community Detection Metrics and Algorithms
Chaitali Choudhary, Inder Singh, Soly Mathew Biju, Manoj Kumar. © 2023. 17 pages.
Community detection in social network analysis is crucial for understanding network structure and organization. It helps identify cohesive groups of nodes, allowing for targeted...
Performance Analysis of Machine Learning Algorithms for Big Data Classification: ML and AI-Based Algorithms for Big Data Analysis
Sanjeev Kumar Punia, Manoj Kumar, Thompson Stephan, Ganesh Gopal Deverajan, Rizwan Patan. © 2021. 16 pages.
In broad, three machine learning classification algorithms are used to discover correlations, hidden patterns, and other useful information from different data sets known as big...