I am an academician with over 19 years of experience in teaching and research in the field of Computer Science. I hold a Ph.D. in Computer Vision, with research focused on developing innovative techniques and real-world applications. My academic journey is driven by a deep commitment to advancing knowledge and fostering a culture of inquiry and innovation. I am passionate about inspiring and mentoring students, encouraging them to explore emerging and cutting-edge areas of computer science.
Research Publications
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An integrated approach to emotion recognition and gender classification, Journal of Visual Communication and Image Representation, https://doi.org/10.1016/j.jvcir.2019.03.002
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DNNT (Deep Neural Network for Telugu): a framework for speech recognition of Telugu language with parallel computing approach, International Journal of Speech TechnologyArticle2025 DOI: 10.1007/s10772-025-10186-0
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LRDADF: An AI enabled framework for detecting low-rate DDoS attacks in cloud computing environments, Measurement: Sensors, DOI: 10.1016/j.measen.2023.100828
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Deep Learning Models for Identification of COVID-19 Using CT Images, Lecture Notes in Networks and Systems Conference Paper2022,DOI: 10.1007/978-981-19-0707-4_52
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Performance evaluation of entropy and gini using threaded and non-threaded ID3 on anaemia dataset, Proceedings - 2015 5th International Conference on Communication Systems and Network Technologies, CSNT 2015Conference Paper2015 DOI: 10.1109/CSNT.2015.112
Ongoing Research Projects
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Automatic Monitoring System for Dairy Cow Behavior using Video Analytics.
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A study on Context Driven Human Activity Recognition Framework.
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Analysis of Kidney desease Ultrasound Images Using Deep Learning.
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Keyframe Extraction for Video Tagging & Summarization.
Expertise
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Computer Vision and Image Processing.
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Data Mining.
Authored Books
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Computer Vision Recognition of Learners' Cognitive states in E-learning [Emotion Recognition ] LAP.