CSE - ARTIFICIAL INTELLIGENCE & MACHINE LEARNING

Ms. Girigula Durga Bhavani

Ms. Girigula Durga Bhavani

Assistant Professor
durgabhavani.g@bvrithyderabad.edu.in

AICTE ID: 1-2377774789
JNTUH ID: 03150405-120402
Ratification Status: Yes

Ph.D.:  Pursuing,VIT-AP University
M.Tech.: JNTU Hyderabad, 2013
B.Tech.: JNTU Hyderabad, 2011

Teaching Experience: 8 Years
Research Experience: 4 Years
Industry Experience: Nil

Scopus ID:  59658994200
WoS ID: QLW-3281-2026
Google Scholar ID:   pPASposAAAAJ
Vidwan ID: 699515
ORCID ID: 0009-0006-5570-6619   

Deep Learning, Digital Image Processing, Artificial Intelligence, Machine Learning

  1. Acted as a Session Chair at the 3rd IEEE Technology Innovation Conference (TIC) 2026, organized by Spectrum International University College, Malaysia, 6th June 2026
  2. Research Awards (2024-2025)
  3. Best Paper Award, 3rd International Conference on Innovative Research and Development (ICIRD – 2024) Shinawatra University, Thailand, 2024.

Nil

  1. Lightweight scalable deep learning framework for real time detection of potato leaf diseases, Scientific reports, SCIE, 2026, https://www.nature.com/articles/s41598-025-33423-7
  2. KAN_ICB: A Novel Deep Learning Framework for Detection of Potato Leaf Disease, IEEE ACCESS, SCIE, 2025, https://ieeexplore.ieee.org/abstract/document/11239063
  3. PotatoLeafNet: two-stage convolutional neural networks for effective Potato Leaf disease identification and classification, Frontiers in Artificial Intelligence, ESCI, 2025, https://www.frontiersin.org/journals/artificial-intelligence/articles/10.3389/frai.2025.1668839/full
  4. A HYBRID DEEP LEARNING FRAMEWORK FOR ACCURATE AND EFFICIENT DETECTION OF POTATO LEAF DISEASES, Journal of Theoretical and Applied Information Technology, SCOPUS, 2025, https://jatit.org/volumes/Vol103No7/2Vol103No7.pdf
  1. Advanced Deep Learning Techniques for Precision Diagnosis of Tea Leaf Diseases, IEEE International Conference on Emerging Technologies and Applications (MPSec ICETA), 2025, https://ieeexplore.ieee.org/abstract/document/11118779
  2. Advanced Classification of Diabetic Foot Ulcers Using Custom and Deep Learning Models, IEEE International Conference on Emerging Technologies and Applications (MPSec ICETA), 2025, https://ieeexplore.ieee.org/abstract/document/11118338
  3. Deep Hybrid Models for Multi-Class Brain Tumor Classification: Integrating CNN, Transformers, and Explainable AI for Enhanced MRI-Based Detection, 4th International Conference on Advances in Computing, Communication, Embedded and Secure Systems (ACCESS), 2025, https://ieeexplore.ieee.org/abstract/document/11135607
  4. PneuNet: A Multi-Scale Attention-Enhanced CNN for Pediatric Pneumonia Detection from Chest X-rays, IEEE DELCON – International Conference on Recent Smart Technologies in Engineering for Sustainable Development, 2025, https://ieeexplore.ieee.org/abstract/document/11400229
  5. Deep Learning-Based Multi-Class Brain Tumor Classification from MRI using a Novel MS-DSCCNet Architecture, IEEE DELCON – International Conference on Recent Smart Technologies in Engineering for Sustainable Development, 2025, https://ieeexplore.ieee.org/abstract/document/11400450/
  6. A Novel Classification Scheme for Early Alzheimer’s Disease (AD) Severity Diagnosis Using Deep Features of a Hybrid Cascade Attention Architecture, International Conference on Augmented Reality, Intelligent Systems, and Industrial Automation (ARIIA), 2024, https://ieeexplore.ieee.org/abstract/document/11051777
  7. Hybrid Convolutional Neural Networks for Enhanced Detection of Mango Leaf Diseases, IEEE 6th International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA), 2024, https://ieeexplore.ieee.org/abstract/document/10871711
  8. A Comprehensive Analysis Of The Detection And Classification Of Potato And Corn Leaf Diseases Utilizing Deep Learning Methods, IEEE 6th International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA), 2024, https://ieeexplore.ieee.org/abstract/document/10871724
  9. Advanced Malware Classification Using Convolutional Neural Networks and Image Transformation Techniques, 2nd International Conference on Advancements and Key Challenges in Green Energy and Computing (AKGEC), 2024, https://ieeexplore.ieee.org/abstract/document/10868701
  10. Novel CNN-Based Models for Breast Ultrasound Image Classification: Leveraging EEHO, PSO, and BSA Optimizers, International Conference on Knowledge Engineering and Communication Systems (ICKECS). IEEE, 2025
  11. Hybrid Deep Learning Framework for Multiclass Diabetic Retinopathy Classification from Fundus Images,” 2026 8th International Conference on Devices, Circuits, and Systems (ICDCS), Coimbatore, India, 2026, pp. 1-6, doi: 10.1109/ICDCS68853.2026.11510827
  12. Hybrid Transformer-Based Deep Learning Model for Automated Kidney Disease Classification Using CT Imaging, 2025 IEEE International Conference on Advanced Computing Technologies (ICACT), 2025

Nil

Nil

  1. IEEE Member # 100475243 Hyderabad
  2. Membership IEEE Computer Society.
  3. Membership IEEE Women in Engineering.
  4. Membership IEEE Young Professionals

Nil

Nil

New Generation Computing Journal

Nil

  1. 5 Days FDP “Generative AI in Higher Education: Curriculum Design, Assessment Innovation and Academic Integrity” Department of Electronics & Telecommunication Engineering and Academic and Administrative Development Centre (AIU-AADC) of G H Raisoni University, Amaravati, from 27th April to 1st May 2026.
  2. One-Day Faculty Development Programme on ‘From Basics to Applications: Deep Learning for NLP’ organized by the Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, in association with Pencilbitz, held on 4th May 2026.
  3. 5 Days Faculty Development Program on “Quantum Frontiers: Principles, Algorithms and Applications for Next Generation Computing”, School of Computer Science and Engineering (SCOPE), VIT-AP University, 2025
  4. 5 Days Faculty Development Program on “Deep Learning in Systems
  5. Biology and Applications”, School of Computer Science and Engineering (SCOPE), VIT-AP University, 2025
  6. One-week Executive Development Program on “From Neural Networks to NLP: A Hoslistic Development program on AI and ML”, School of Electronics Engineering, VIT-AP University, 2025
  7. Two Days workshop on “DEEP FAKE TOOLS TECHNOLOGY AND ETHICAL IMPLICATIONS”, School of Computer Science and Engineering (SCOPE), VIT-AP University, 2024
  8. “DST-SERB 5-Day National Workshop on Artificial Intelligence and Machine Learning: Theory and Hands-on Practice (AIML-2024)”, Department of Computer Science and Engineering in association with FTBI at NIT Rourkela, Odisha, India.
  9. One Week International Online Workshop on Technical Writing using Latex, School of Computer Science and Engineering (SCOPE), VIT-AP University, 2024.
  10. 5 Days Faculty Development Program on “SEMI-CONINDIA: A FUTURE PERSPECTIVE”, School of Computer Science and Engineering (SCOPE), VIT-AP University, 2023.
  11. 2 Days workshop on Ethical Hacking and Information Security, TechDefence in association with Adam’s Engineering College, 2010.
  12. 2 Days workshop on Ethical Hacking Expert– Level 1, Techfest Asia, IIT Bombay, IEEE Student Branch Workshop, Joie de Vivre. Adam’s Engineering College, 2010.
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