Baddepaka Prasad

About

Dr. Baddepaka Prasad received the B.Tech and M.Tech degrees in Computer Science and Engineering from Jawaharlal Nehru Technological University, Hyderabad (JNTUH). He earned his Ph.D. degree in Computer Science and Engineering from Osmania University, Hyderabad, India, in 2023 through the UGC-NET JRF (Full-Time) program. He is currently serving as a Senior Assistant Professor in the Department of Computer Science and Engineering at CVR College of Engineering, Hyderabad, India. He has over 7 years of teaching experience and 5 years of research experience. His areas of interest include Blockchain Technology, Smart Contracts, Security, Decentralized Systems, and Deep Learning. He has published 5 research articles in peer-reviewed international journals and presented 5 papers in international conferences. He can be contacted at email: [email protected]

Employment

• CVR College of Engineering Sr Assistant Professor
  2023 - Present

Education

• Osmania University Ph.D

Projects & Funding

Projects & funding information is unavailable.

Publications (14)

• Optical communication network signal analysis and cyber security modelling by frequency modulation with machine learning algorithm
  Scientific Reports 2026 DOI: 10.1038/s41598-026-56831-9
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• Intelligent Posture Correction System for Mitigating Ergonomic Health Risks
  Proceedings of 8th International Conference on Intelligent Sustainable Systems Iciss 2026 2026 DOI: 10.1109/ICISS67859.2026.11453533
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• An IoT-Driven Machine Learning Model for Predictive Maintenance Classification in Industrial Systems
  ADVANCES IN MICRO-ELECTRONICS, EMBEDDED SYSTEMS AND IOT, ICMEET 2024, VOL 1 2025 DOI: 10.1007/978-981-96-7222-6_37
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• Challenges of Code-Switching and Code-Mixing for Sentiment Analysis in Low-Resource Languages
  3rd International Conference on Emerging Applications of Material Science and Technology Iceamst 2025 2025 DOI: 10.1109/ICEAMST67459.2025.11336084
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• Enhanced Accident Severity Prediction Using LightGBM-CNN Fusion Framework
  Proceedings of the 1st IEEE International Conference on Advances in Next Gen Computer Science Icancs 2025 2025 DOI: 10.1109/ICANCS65819.2025.11377327
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• Enhancing Citrus Disease Categorization with Deep Learning Optimization
  Proceedings of IEEE International Conference on Signal Processing Computing and Control 2025 DOI: 10.1109/ISPCC66872.2025.11039599
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• HYBRID DEEP LEARNING APPROACHES FOR CYBERATTACK DETECTION AND PREVENTION IN CRITICAL INFRASTRUCTURE SYSTEMS
  Journal of Theoretical and Applied Information Technology 2025
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• Hybrid Architecture for Video-Based Real-Time Posture Correction Using Mediapipe and CNN1D
  Proceedings of the 1st IEEE International Conference on Advances in Next Gen Computer Science Icancs 2025 2025 DOI: 10.1109/ICANCS65819.2025.11377272
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• Smart and Advanced IoT-Based Forest Monitoring and Wildlife Detection System
  Proceedings of the 1st IEEE International Conference on Advances in Next Gen Computer Science Icancs 2025 2025 DOI: 10.1109/ICANCS65819.2025.11377236
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• CRYPTOGRAPHIC SECURE DATA SCIENCE MODEL TO PREVENT CYBER SECURITY USING MACHINE LEARNING MODEL
  Journal of Theoretical and Applied Information Technology 2024
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