CSE - ARTIFICIAL INTELLIGENCE & MACHINE LEARNING

Dr. Girigula Durga Bhavani

Dr. Girigula Durga Bhavani

Assistant Professor
[email protected]

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

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

Teaching Experience: 9 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 and  Digital Image Processing

  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
  5. BQAREM: Blockchain-Secured Quantum Adaptive Resource Management for Edge Machine Learning, Procedia Computer Science, SCOPUS, 2026, https://www.sciencedirect.com/science/article/pii/S187705092602140X?via%3Dihub
  6. Hierarchical lesion-aware transformer for oral cancer image classification, Discover Artificial Intelligence, Scopus, 2026, https://doi.org/10.1007/s44163-026-01776-1

 

  1.  

  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
  1. A method for quantum-resistant blockchain identity authentication, Patent Application no. 202641084477, Publication No:IN202641095429 A1, August 2026.
  2. Secure and scalable cybersecurity architecture through quantum computing and multi agent blockchain systems, Application no. 202641095429, Publication No:IN202641084477 A1, July 2026.

Nil

  1. IEEE Member # 100475243 Hyderabad
  2. Membership IEEE Computer Society.
  3. Membership IEEE Women in Engineering.
  4. Membership IEEE Young Professionals
  5. Membership World Research Union   Id: WRU001385

Nil

Nil

New Generation Computing Journal

Nil

  1. Participated in the SmartBridge webinar on “AI-Native Education: Reimagining Learning for the AI Generation” on 30 September 2026. Learned about innovative teaching methodologies and the PRISM Framework.
  2. Online Certification Course on “ Oracle Cloud Infrastructure: Generative AI Solutions Architect Services” from 17/08/26 to 22/08/26 organized by Adithya Learning Academy in association with Department of Computer Applications, Aditya University.
  3. Live Online masterclass on “Data Analytics for High Impact Journal Publications” LONDON COLLEGE OF APPLIED RESEARCH AND EDUCATION, WORLD RESEARCH UNION, 2026.
  4. One-Week International (Online) Faculty Development Program (FDP) on “Advancements in Artificial Intelligence and Machine Learning for Real-World Applications” Department of Computer Science and Information Systems, Institute of Technology, Shri Ramswaroop Memorial University, Lucknow – Deva Road, Barabanki, Uttar Pradesh, India, 2026.
  5. Faculty Development Program (FDP) on “Generative AI in Higher Education: Curriculum Design, Assessment Innovation and Academic Integrity” Department of Electronics & Telecommunication Engineering, Academic and Administrative Association of Indian Universities (AIU- AADC) of G H Raisoni University, Amaravati, 2026.
  6. One -Day Faculty Development Programme on ‘From Basics to Applications: Deep Learning for NLP’ Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, 2026.
  7. 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.
  8. 5 Days Faculty Development Program on “Deep Learning in Systems Biology and Applications” School of Computer Science and Engineering (SCOPE), VIT-AP University, 2025.
  9. 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.
  10. Two Days workshop on “DEEP FAKE TOOLS TECHNOLOGY AND ETHICAL IMPLICATIONS” School of Computer Science and Engineering (SCOPE), VIT-AP University, 2024.
  11. “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, 2024.
  12. Five Day Faculty Development Programme on “Research Methodology” International Relations Office, VIT-AP University, Amaravati (AP), India, 2024.
  13. One Week International Online Workshop on Technical Writing using Latex, School of Computer Science and Engineering (SCOPE), VIT-AP University, 2024.
  14. 5 Days Faculty Development Program on “SEMI-CONINDIA: A FUTURE PERSPECTIVE” School of Computer Science and Engineering (SCOPE), VIT-AP University, 2023.
  15. 2 Days workshop on Ethical Hacking and Information Security, Tech Defence in association with Adam’s Engineering College,
  16. 2 Days workshop on Ethical Hacking Expert– Level 1, Techfest Asia, IIT Bombay, 2010.
  17. IEEE Student Branch Workshop, Joie de Vivre. Adam’s Engineering College, 2010.
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