KUMBAM VENKAT REDDY

About

Mr. Kumbam Venkat Reddy is a Research scholar in Computer Science and Engineering from Sathyabama Institute of Science and Technology, Chennai, India. He has received B. Tech from Information Technology and M. Tech in Computer Science and Engineering from JNTU Hyderabad, Telangana. Currently, He is working as Assistant Professor at Vignana Bharathi Institute of Technology, Hyderabad, Telangana.

Employment

• VIGNANA BHARATI INSTITUTE OF TECHNOLOGY ASST.PROF
  2019 - Present

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (13)

• Intrusion Detection in Cloud Environments Using Hybrid Support Vector Machine Techniques
  2025 IEEE 4th International Conference for Advancement in Technology (ICONAT) 2025 DOI: 10.1109/iconat66879.2025.11362470
  +Save
• Al-Powered Cybersecurity and Threat Intelligence for Digital Protection
  RK PUBLICATIONS 2025 DOI: 10.5281/ZENODO.16519740
  +Save
• Word by Wave: Transforming Hand Gesture Movements into Semantic Sentence
  Grenze International Journal of Engineering and Technology 2025
  +Save
• MCQ Generation using NLP Techniques
  ITM Web of Conferences 2025 DOI: 10.1051/itmconf/20257401016
  +Save
• User Friendly and Efficient Mini Wallet for Sending Ethers
  ITM Web of Conferences 2025 DOI: 10.1051/itmconf/20257402008
  +Save
• Optimal Feature Selection and Classification Model for Multi-Modality Epilepsy Detection
  2025 DOI: 10.1007/978-981-96-3420-0_41
  +Save
• Blockchain-Integrated Deep Learning for Secure Health Data Sharing and Consent Management
  2024 Second International Conference on Intelligent Cyber Physical Systems and Internet of Things (ICoICI) 2024 DOI: 10.1109/icoici62503.2024.10696868
  +Save
• Hate Text Finder Using Logistic Regression
  Lecture Notes in Electrical Engineering 2024 DOI: 10.1007/978-981-99-7954-7_5
  +Save
• Cheque Truncation Mechanism Using Blockchain
  2023 DOI: 10.4018/978-1-6684-9867-5.ch010
  +Save
• Cross Model Attention based Deep Learning for Multi Modal Epilepsy Detection
  International Journal of Intelligent Engineering and Systems 2023 DOI: 10.22266/ijies2023.1031.07
  +Save