K. Dinesh Kumar

K. Dinesh Kumar working as an Assistant Professor in the School of Computing, Amrita Vishwa Vidyapeetham University. Ph.D. degree received from the School of Computer Science and Engineering, VIT University. Published international publications and participated in various international and national conferences. Active review member for various reputed leading research journals like IEEE transactions, Springer, Wiley, IGI Global, Taylor & Francis Online, Hindawi etc. and also acted as review member for international conferences like MBDAS-2021, Shenzhen, China and ICMEMSCE-2018, Xiamen, China. Co-author of three textbooks. Certified AWS Solution Architect (Associate). Research area is Cloud computing and Machine learning also have interests in Fog computing and Computer networks.

Publications

Computational Intelligence for Green Cloud Computing and Digital Waste Management
Computational Intelligence for Green Cloud Computing and Digital Waste Management
K. Dinesh Kumar, Vijayakumar Varadarajan, Nidal Nasser, Ravi Kumar Poluru. © 2024. 405 pages.
In the digital age, the relentless growth of data centers and cloud computing has given rise to a pressing dilemma. The power consumption of these facilities is spiraling out of...
E-Waste Management: A Significant Solution for Green Computing
E-Waste Management: A Significant Solution for Green Computing
K. Dinesh Kumar, Dipalee Divakar Rane, Appalaraju Muralidhar, Sam Goundar, P. Viswanatha Reddy. © 2024. 18 pages.
Green computing can be described as efficient resource management in distributed computing environments such as cloud, fog, and edge computing environments. In green computing...
Technological Advancements in E-Waste Management Methods and Models
Technological Advancements in E-Waste Management Methods and Models
M. Rudra Kumar, U. Sivaji, N. Badrinath, B. Rupa Devi, K. Dinesh Kumar, V. Rajesh Kumar Korupalli. © 2024. 22 pages.
In response to the rise of electronic trash on a worldwide scale, numerous new solutions have emerged. To recover valuable elements from electronic trash, many recycling...
Sustainable Waste Management OOA-Enhanced MobileNetV2-TC Model for Trash Image Classification
Sustainable Waste Management OOA-Enhanced MobileNetV2-TC Model for Trash Image Classification
B. Manjunatha, K. Dinesh Kumar, Sam Goundar, Balasubramanian Prabhu Kavin, Gan Hong Seng. © 2024. 21 pages.
E-waste is an invisible, indirect waste that contaminates natural resources like the air, water, and soil, endangering the ecosystem, people, and animals. Long-term waste...