@jyothyit.ac.in
Associate Professor, Department of Computer Science & Engineering
Jyothy Institute of Technology, Bangalore
Dr. Manoj Kumar M, Associate Professor in the Department of Computer Science and Engineering, received his doctoral degree from Jain University, Bangalore in the year 2021. He has studied M. Tech. in Computer Science and Engineering from Nitte Meenakshi Institute of Technology, Bangalore and BE in Computer Science and Engineering from Dr. Ambedkar Institute of Technology, Bangalore, M. Tech. in Computer Science and Engineering from Nitte Meenakshi Institute of Technology, Bangalore affiliated to Visvesvaraya Technological University, Karnataka in 2010 and 2012 respectively. He has 2 years of Industry experience and 10 years of academic experience. He has published 18 research papers in various International journals. He has one patent in his name. He is a life member of CSI, ISTE. He has reviewed several research articles for reputed journals and international conferences. He is also an EMC Academic Associate, AWS academy graduate. He has introduced Coursera for campus programs.
Computer Science
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
C. Bhargavi, C. R. Ganesh, M. Manoj Kumar, and G. R. Kishore
Springer Nature Singapore
N. Shravan, M. Manoj Kumar, Bharatesh Chakravarthi, and C. Bhargavi
Springer Nature Singapore
M. Manoj Kumar, D. Rohith, T. G. Mohan Kumar, R. Rahul, and B. S. Krishna Koustub
Springer Nature Singapore
M. Manoj Kumar, Bhuvaneshwari Hegde, S. P. Veda Murthy, M. K. Akhila, and A. S. Bhoomika
Springer Nature Singapore
Bharatesh Chakravarthi, M. Manoj Kumar, and B. N. Pavan Kumar
Springer Nature Singapore
N. Shravan, M. Manoj Kumar, Sriraag Jayanth, R. S. Bindu, B. R. Madhu, and K. S. Sreekeshava
Springer Nature Singapore
Vadiraja Acharya, Vinay V Hegde, Anjan K., and Manoj Kumar M.
IEEE
In a world where people are talking about increase in the usage of non-polluting and renewable sources of energy, monitoring and controlling such biogas plants remotely becomes very important. Monitoring the properties like pH, temperature, pressure and total amount of gas produced and consumed will help in understanding the health of the biogas plant. The whole process of offline monitoring has to be replaced with an online automation system. To overcome the barrier of data connectivity issues in the rural area, GSM based data transfer has to be used. In this paper, an IoT based efficiency monitoring system for biogas plants is proposed. An Arduino micro-controller system is deployed and tested to measure the gas production and consumption. Android based application is designed to act as an SMS gateway which is a free replacement for commercial solution. A dashboard plotting the usage statistics is designed to help the plant administrator to monitor the parameters.
M. Manoj Kumar and A. N. Nandakumar
Springer Singapore
A. R. Manu, Vinod Kumar Agrawal, K. N. Balasubramanya Murthy, and M. Manoj Kumar
IEEE
Innovative approaches for securing the computing systems have intense inference for our understanding of technological, societal, economical, and political phenomena in making guiding principles, policies, rules and security implementations. The model presented here is based on cooperative and collaborative multilateral relationship among the shared business community partners. The sole responsibility for the securing and maintenance of their own virtualized dedicated boxes with jointly hosted data centers distributed geographically is equally, vested with service consumers and vendors. Inspired by multilateral techniques used in army and health care applications, this model is a conceptual and empirical tool aimed, rather depicting a particular set of observed situations or making predictions. It is aimed is to develop our understanding of the fundamental mechanisms driving the security implementations of existing methods and provide the MCF - multilateral collaborative co-operative framework. This MCF demonstrates an interrelated multilayered virtualized architectural framework for computing utility using virtualization platform. We try to demonstrate qualitatively and empirically the proposed architecture works well for a wide range of workloads and devices belonging to multi tenants with varied security needs. This work is compared with currently existing virtualization platform security framework and avail the novelty of the proposed ontology and framework.