2024 – 2025 – Assistant professor – K L ( Deemed to be) University, Aziznagar-Hyderabad
Research Interest
My research interests lie in the broad domain of Computer Vision, with a specific focus on applications such as video analysis, object detection, and digital forensics.
I am particularly interested in leveraging deep learning techniques to develop intelligent systems capable of analysing complex visual data, identifying objects in real-time, and enhancing the reliability of forensic investigations.
My work emphasizes the design and implementation of robust deep learning models that can perform efficient analysis on medical images.
Awards
2017 – UGC Net JRF – UGC MoE
Memberships
IAENG
Publications
Patents
Projects
Scholars
Interests
Artificial Intelligence
Computer Vision
Deep Learning
Thought Leaderships
There are no Thought Leaderships associated with this faculty.
Top Achievements
Education
2011
B.Tech
University College of Engineering, JNTU Kakinada
India
2015
M.Tech
A.U College of Engineering, Andhra University
India
2024
Ph.D
School of Computer and Information Sciences, University of Hyderabad
2024 – 2025 – Assistant professor – K L ( Deemed to be) University, Aziznagar-Hyderabad
Research Interests
My research interests lie in the broad domain of Computer Vision, with a specific focus on applications such as video analysis, object detection, and digital forensics.
I am particularly interested in leveraging deep learning techniques to develop intelligent systems capable of analysing complex visual data, identifying objects in real-time, and enhancing the reliability of forensic investigations.
My work emphasizes the design and implementation of robust deep learning models that can perform efficient analysis on medical images.
2024 – 2025 – Assistant professor – K L ( Deemed to be) University, Aziznagar-Hyderabad
Research Interests
My research interests lie in the broad domain of Computer Vision, with a specific focus on applications such as video analysis, object detection, and digital forensics.
I am particularly interested in leveraging deep learning techniques to develop intelligent systems capable of analysing complex visual data, identifying objects in real-time, and enhancing the reliability of forensic investigations.
My work emphasizes the design and implementation of robust deep learning models that can perform efficient analysis on medical images.
