Dr. V. Vivek
National University of Singapore, Jain University, Karunya Institute of Technology and Sciences, Karunya University, Alliance University, Jawaharlal Nehru Technological University
0000-0003-2748-2890
About
Vullikanti Vivek is an educationist with over 15 years of experience in teaching and research. He specializes in several fields, including Artificial Intelligence, Cybersecurity, Distributed Systems, Cloud Computing, Computer Networks, and Agent-based Computing. He holds a CCNA (Cisco Certified Network Associate) certification from CISCO Systems and has been a certified instructor with the CISCO Networking Academy for over a decade. He has also published research articles in top-tier journals such as SCI and Scopus and has served as a resource person for several guest lectures. Vivek serves as a research fellow in CISCO - NUS Corp Lab at the National University of Singapore under Prof.Bharadwaj Veeravalli, where he continues pursuing his research interests in cutting-edge technologies such as AI, machine learning, cybersecurity, and cloud computing.
Employment
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National University of Singapore Research Fellow @ CISCO - NUS Corp Lab2022 - Present
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Jain University Associate Professor and Head2017 - 2022
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Alliance University Assistant Professor2013 - 2017
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Karunya University Assistant Professor2008 - 2013
Education
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Karunya Institute of Technology and Sciences Ph.D2012 - 2020
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Karunya University Master of Engineering2006 - 2008
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Jawaharlal Nehru Technological University B.Tech2002 - 2006
Projects & Funding
Projects & funding information is unavailable.
Publications (9)
- A Survey on Machine Learning Approaches for Intrusion Detection in Cloud Computing Environments for Improving Routing Payload Security and Network Privacy Save
- Using a Medical Kit and Live Ecg Monitoring, an Iot in Healthcare. Save
- Blended Ensemble Learning Prediction Model for Strengthening Diagnosis and Treatment of Chronic Diabetes Disease Save
- Weed Detection Model Using the Generative Adversarial Network and Deep Convolutional Neural Network Save
- Recommendation Systems: The Different Filtering Techniques, Challenges and Review Ways to Measure the Recommender System Save
- The Importance of Teacher’s Mental Health and Wellness for Quality Learning in Classrooms during COVID-19 Pandemic Save
- Payload fragmentation framework for high-performance computing in cloud environment Save
- Network Attentive Payload Allocation in Heterogeneous Cloud like Computing Environment Save
- Securing the Sensitive Data in Cloud like Environment: An Approach of DNA Encryption Save