Assistant Professor

Dr Sudheer Babu Punuri

Department of Computer Science and Engineering

Interests

  • Computer Vision
  • Machine Learning, Deep Learning
  • Explainable AI (XAI).
  • Expression Recognition and Psychology Management

Faculty Details

Education

2011

D.L. R College
India
MCA

2012

Swarnandhra College of Engineering & Technology – Narasapur.
India
MTech

2025

Gandhi Institute of Engineering & Technology (GIETU - Gunupur)
PhD

Experience

  • June 2018 – 2025 – Assistant Professor – GIET University – Gunupur, Odisha.
  • June 2017 – April 2018 – Assistant Professor – GVVIT, Vempa, Bhimavaram
  • Sept 2011 – April 2017 – Assistant Professor – Swarnandhra Institute of Engineering & Technology – Narasapur

Research Interests

  • Computer Vision applications in health (e.g., retinal OCT, skin cancer detection) and Aquaculture.
  • Model Explainability using Layer-wise Relevance Propagation (LRP) and SHAP.
  • Real-Time AI Systems for surveillance and emotion-aware technologies.

Awards & Fellowship

  • 2024 – Wipro Certified Faculty (WCF) – Database Solution Expert - Talent Next Wipro Certified Faculty Assessment, Wipro.
  • 2018 – Best Paper Award – ICNGIOT – International Conference on Next Generation of Internet of Things (ICNGIoT-2018), Depart of Computer Science and Engineering, GIET University.
  • 2016 – APSET – Andhra University, Visakhapatnam
  • 2015 – Microsoft Office Specialist (MOS) – Microsoft Power Point 2010 – Issued by Microsoft.

Memberships

  •  Associate Member - The Institution of Engineers(India)
  •  Member - International Association of Engineers (IAENG)

Publications

 Journal Publication:

  • S. B. Punuri, S. K. Kuanar, T. K. Mishra, V. V. R. M. Rao, and S. S. Reddy, “Decoding human facial emotions: A ranking approach using explainable ai,” IEEE Access, 2024.
  • S. B. Punuri, S. K. Kuanar, M. Kolhar, et al., “Efficient net-xgboost: An implementation for facial emotion recognition using transfer learning,” Mathematics, vol. 11, no. 3, p. 776, 2023.
  • P. S. Babu and S. K. Kuanar, “Aquatalk: An intensification of system influence in aquaculture,” The Role of IoT and Blockchain: Techniques and Applications, pp. 87–100, 2022.
  • D. A. Kumar, S. B. Punuri, P. P. Kumar, A. P. Kumar, and M. Malyadri, “A model for implementing health care service ticket classification using nlp,” European Journal of Molecular & Clinical Medicine, vol. 7, no. 09, p. 2020, 2021.
  • S. MENDA, Y. VENKATESWARLU, and P. S. BABU, “Unusual pixels for big image using supervised anomaly detection,” 2021.
  • S. B. Punuri, “Vehicle tracking system using discrete wavelet transformation,” Int. J. Ind. Eng. Prod. Res, vol. 31, no. 3, pp. 361–366, 2020.

 CONFERENCES:

  • S. R. Biswal, A. P. Kumar, and S. B. Punuri, “Enhanced fish health monitoring in aquaculture with attention-based deep learning technique,” in 2024 International Conference on Integrated Intelligence and Communication Systems (ICIICS), 2024, pp. 1–7. _doi: 10.1109/ICIICS63763.2024.10860112.
  • S. Dash, K. Murali Gopal, R. Kumar Mahanta, and S. Babu Punuri, “Cnn-driven nutritional analysis: Predicting food composition via image processing techniques,” in 2024 International Conference on Integrated Intelligence and Communication Systems (ICIICS), 2024, pp. 1–8. _doi:10.1109/ICIICS63763.2024.10859862.
  • S. Patra, S. K. Kuanar, and S. B. Punuri, “Mhan-ferw: Multi-stage hierarchical attention network for facial emotion recognition in wild,” in 2024 IEEE International Conference on Smart Power Control and Renewable Energy (ICSPCRE), IEEE, 2024, pp. 1–6.
  • S. B. Punuri, S. K. Kuanar, and T. K. Mishra, “Facial emotion recognition in unconstrained environments through rank-based ensemble of deep learning models using 1-cycle policy,” in 2023 International Conference on the Confluence of Advancements in Robotics, Vision and Interdisciplinary Technology Management (IC-RVITM), 2023, pp. 1–8. _ doi: 10.1109/IC-RVITM60032.2023.10435159.
  • S. Babu Punuri, S. K. Kuanar, and T. K. Mishra, “Behavior analysis for human by facial expression recognition using deep learning: A cognitive study,” in Next Generation of Internet of Things: Proceedings of ICNGIoT 2021, Springer, 2021, pp. 725–736.
  • P. S. Babu and B. S. Panda, “Light weight security and authentication in wireless body area network (wban),” in 2020 International Conference on Computer Science, Engineering and Applications (ICCSEA), IEEE, 2020, pp. 1–7.

BOOK CHAPTERS:

  • S. Babu, D. Anil Kumar, and K. Siva Krishna, “Intelligent multiple diseases prediction system using machine learning algorithm,” in Next Generation of Internet of Things: Proceedings of ICNGIoT 2022, Springer, 2022, pp. 641–652.

Contact Details

  • E-mail id: sudheerbabu.p@srmap.edu.in
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