Dr. Kakelli Anil Kumar
VIT University, Indore Institute of Technology Indore, Jawaharlal Nehru Technological University
About
Dr. Kakelli Anil Kumar is an Associate Professor of the School of Computer Science and Engineering at Vellore Institute of Technology (VIT), Vellore, TN, India. He earned a Ph.D., in Computer Science and Engineering from Jawaharlal Nehru Technological University (JNTUH) Hyderabad in 2017, and graduated in 2009 and under-graduated in 2003 from the same university. He started his teaching career in 2004 and worked as Assistant Professor, and Associate Professor & HOD in various reputed engineering institutions of India. His current research includes wireless sensor networks, Internet of Things (IoT), Digital Forensics, Cybersecurity, Malware Analysis, Block-chain, and Crypto-currency. He has published over 35 research articles in reputed peer-reviewed international journals and conferences.
Employment
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VIT University Associate Professor2017 - Present
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Indore Institute of Technology Indore Associate Professor2012 - 2017
Education
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Jawaharlal Nehru Technological University Ph. D2011 - 2017
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Jawaharlal Nehru Technological University M. Tech2007 - 2009
Projects & Funding
Projects & funding information is unavailable.
Publications (64)
- Response surface and sensitivity analysis of entropy generation in Casson hybrid nanofluid flow through a stenosed artery Save
- An Energy-Efficient Wireless Sensor Network (EE-WSN) for Hazard and Crack Detection in Coal Mines Save
- COVID-19 Disease Prediction Using Generative Adversarial Networks with Convolutional Neural Network (GANs-CNN) Model Save
- From Inception to Efficiency: Evaluating State-of-the-Art CNNs for Fake Currency Identification Save
- Inventory Management in Augmented Reality Using Apple ARKit for VisionOS Save
- Levenberg–Marquardt neural network for entropy optimization on Casson hybrid nanofluid flow with nonlinear thermal radiation: a comparative study Save
- A Novel Approach Towards Detecting Malaria Parasite in Thin Blood Smears Using a Sequential Convolutional Neural Network (CNN) Model Save
- A Novel Approach for Secured Decentralised Data Protection Vault Save
- Applications of Machine Learning in Cloud Forensics Save
- Decentralization System Using Smart Blockchain with Secure Hash Save