V. Vinoth Kumar

V. Vinoth Kumar is an Associate Professor in the Department of Computer Science and Engineering in MVJ College of Engineering, Bangalore, India. He is a highly qualified individual with around 8 years of rich expertise in teaching, entrepreneurship, and research and development with specialization in computer science engineering subjects. He has been a part of various seminars, paper presentations, research paper reviews, and conferences as a convener and a session chair, a guest editor in journals and has co-authored several books and papers in national, international journals and conferences. He is a professional society member for ISTE, IACIST and IAENG. He has published more than 15 articles in National and International journals, 10 articles in conference proceedings and one article in book chapter. He has filed Indian patent in IoT Applications. His Research interest includes Mobile Adhoc Networking and IoT.


Emerging Advancements in AI and Big Data Technologies in Business and Society
Jingyuan Zhao, Joseph Richards, V. Vinoth Kumar. © 2024. 320 pages.
Today, the convergence of Artificial Intelligence (AI) and Big Data has revolutionized industries worldwide, driving business growth and reshaping societies. While these...
Handbook of Research on Advancements in AI and IoT Convergence Technologies
Jingyuan Zhao, V. Vinoth Kumar, Rajesh Natarajan, T.R. Mahesh. © 2023. 372 pages.
Recently, the internet of things (IoT) has brought the vision of a smarter world into reality with a massive amount of data and numerous services. With the outbreak of the...
Analysis on Detecting Cyber Security Attacks Using Deep Ensemble Learning on Smart Grids
K. Vanitha, M. Mohamed Musthafa, A. M. J. Md Zubair Rahman, K. Anitha, T. R. Mahesh, V. Vinoth Kumar. © 2023. 18 pages.
In recent times, cyber security offers a significant advancement in smart grid technologies for its availability and functionality. The potential intrusion in smart grids marks...
Handbook of Research on Technologies and Systems for E-Collaboration During Global Crises
Jingyuan Zhao, V. Vinoth Kumar. © 2022. 461 pages.
Necessity is the mother of invention; challenging times can provide new opportunities that must be detected and exploited at the right moments. The COVID-19 pandemic has...
Machine Learning-Based COVID-19 Classification Using E-Adopted CT Scans
Ashokkumar Palanivinayagam, V. Vinoth Kumar, T. R. Mahesh, Krishna Kant Singh, Akansha Singh. © 2022. 16 pages.
In recent years, several machine learning models were successfully deployed in various fields. However, a huge quantity of data is required for training good machine learning....
Handbook of Research on Innovations and Applications of AI, IoT, and Cognitive Technologies
Jingyuan Zhao, V. Vinoth Kumar. © 2021. 570 pages.
Recently, artificial intelligence (AI), the internet of things (IoT), and cognitive technologies have successfully been applied to various research domains, including computer...
Intelligent Speech Processing Technique for Suspicious Voice Call Identification Using Adaptive Machine Learning Approach
Dhilip Kumar, Swathi P., Ayesha Jahangir, Nitesh Kumar Sah, Vinothkumar V.. © 2021. 9 pages.
With recent advances in the field of data, there are many advantages of speedy growth of internet and mobile phones in the society, and people are taking full advantage of them....
International Journal of e-Collaboration (IJeC)
Jingyuan Zhao. Est. 2005.
The International Journal of e-Collaboration (IJeC) addresses the design and implementation of e-collaboration technologies, assesses its behavioral impact on individuals and...