Assistant Professor

Mr Yara Srinivas

Department of Computer Science and Engineering

Interests

  • Computer Vision
  • Deep Learning
  • Artificial Intelligence

Education

2011

University college of Engineering, JNTU- Kakinada
B.Tech.

2015

A.U College of Engineering, Andhra University.
M.Tech

2024

School of Computer and Information Sciences, University of Hyderabad
PhD

Experience

  • 2016 – 2018 – Assistant Professor – Sphoorthy Engineering College, Nadergul-Hyderabad.
  • 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 & Fellowships

  • 2017 – UGC Net JRF – UGC MoE

Memberships

  • IAENG

Publications

  • A modified inter-frame difference method for detection of moving objects in videos Y.Srinivas, A.Ganivada.- International Journal of Information Technology 17 (2), 749- 754 (2024).
  • A novel deep convolutional encoder–decoder network: application to moving object detection in videos- A.Ganivada, S.Yara.- Neural Computing and Applications 35 (29), 22027-22041 (2023).
  • Detection of moving objects and enhancement using motion features in various video sequences- S.Yara, A.Ganivada.- Innovations in Computer Science and Engineering: Proceedings of the Ninth ICICSE, vol-385, 665-674 (2021).
  • Docker: A study on Emerging Visualized Environment- Sravan Kumar G , Y Srinivas, M Pravallika, International Journal of Advanced Technology in Engineering & Science, 5(3), 2348-7550 (2017).
  • Multi-criteria Decision making for Identifying Top-k profitable Stocks from Stock market – Y.Srinivas, AM Sowjanya,- International Journal of Engineering and Computer Science, 4, 14391-14395 (2015).

Contact Details

  • E-mail id: srinivas.y@srmap.edu.in
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