Prabhu Prasad Dev

About

Prabhu Prasad Dev is working as a Assistant Professor in School of Computer Engineering , KIIT, Deemed to be University, Bhubaneswar. He received his M. Tech degree in Computer Science and Engineering from KIIT, Deemed to be University, Bhubaneswar. He has completed Ph.D in Computer Science and Engg. from National Institute of Industrial Technology(NIT),Calicut,Kerala. He teaches Machine Learning, Formal Languages and Automata Theory, Compiler Design, Data Structures, Design and Analysis of Algorithms and Cryptography. His research areas of interest include Deep Learning, Computer Vision and Image Processing.

Employment

• KIIT University Assistant Professor
  2019 - Present

Education

• National Institute of Technology Calicut Ph.D

Projects & Funding

Projects & funding information is unavailable.

Publications (25)

• Cross-modal uncertainty modeling framework for unseen video anomaly detection
  Neurocomputing 2026 DOI: 10.1016/j.neucom.2025.132591
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• A modified Gray Wolf Optimization algorithm for early detection of Parkinson's Disease
  Biomedical Signal Processing and Control 2025 DOI: 10.1016/j.bspc.2025.108061
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• CA-VAD: Caption Aware Video Anomaly Detection in surveillance videos
  Journal of Visual Communication and Image Representation 2025 DOI: 10.1016/j.jvcir.2025.104521
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• Detecting AI-Generated Text Using Fine-Tuned Transformers: A Study on Academic Integrity
  Communications in Computer and Information Science 2025 DOI: 10.1007/978-3-031-83796-8_16
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• Dynamic Time Slice Prediction in Round Robin CPU Scheduling using Machine Learning
  Esic 2025 5th International Conference on Emerging Systems and Intelligent Computing Proceedings 2025 DOI: 10.1109/ESIC64052.2025.10962626
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• MCANet: Multimodal Caption Aware Training-Free Video Anomaly Detection via Large Language Model
  Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics 2025 DOI: 10.1007/978-3-031-78125-4_25
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• MSPL-VAD: Multi-Stage Pseudo-Labeling framework for Video Anomaly Detection
  International Conference on Innovations in Intelligent Systems Advancements in Computing Communication and Cybersecurity Isac3 2025 2025 DOI: 10.1109/ISAC364032.2025.11156867
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• ReFLIP-VAD: Towards Weakly Supervised Video Anomaly Detection via Vision-Language Model
  IEEE Transactions on Circuits and Systems for Video Technology 2024 DOI: 10.1109/TCSVT.2024.3482007
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• Weakly Supervised Temporal Attention Framework for Video Anomaly Detection
  2024 15th International Conference on Computing Communication and Networking Technologies Icccnt 2024 2024 DOI: 10.1109/ICCCNT61001.2024.10725808
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• Temporal Relation-Embedded Transformer for Weakly-Supervised Video Anomaly Detection
  Proceedings 11th International Conference on Signal Processing and Integrated Networks Spin 2024 2024 DOI: 10.1109/SPIN60856.2024.10512312
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