Research Excellence Award
| N. Sandhya |
| Affiliation |
Vallurupalli Nageswara Rao Vignana Jyothi Institute of Engineering &Technology |
| Country |
India |
| Google Scholar |
DI35JGoAAAAJ |
| Scopus Author ID |
6506940095 |
| Documents |
45 |
| Citations |
332 |
| h-index |
8 |
| Collaborations |
91 |
| Subject Area |
Artificial Intelligence, Machine Learning, Data Science |
| Event |
Indian Scientist Awards |
| ORCID |
0000-0003-4962-2647 |
Nadella Sandhya
Vallurupalli Nageswara Rao Vignana Jyothi Institute of Engineering &Technology, India
N. Sandhya is a distinguished academician, researcher, and Professor in the Department of Computer Science and Engineering at VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, India. With more than 24 years of experience in teaching, research, administration, and innovation, she has significantly contributed to the fields of Artificial Intelligence, Machine Learning, Data Science, Big Data Analytics, Information Retrieval Systems, and Cloud Computing. Her scholarly contributions include international journal publications, conference papers, patents, sponsored research projects, and doctoral guidance, demonstrating sustained academic excellence and impactful research contributions.[1]
Abstract
Dr. N. Sandhya has established herself as a prominent researcher and educator in Computer Science and Engineering through extensive contributions in Artificial Intelligence, Machine Learning, Data Mining, Big Data Analytics, Healthcare Informatics, and Computer Vision. Her academic profile reflects excellence in research publications, doctoral supervision, innovation-driven projects, patents, and interdisciplinary collaboration. She has actively contributed to advanced research areas involving deep learning architectures, predictive analytics, optimization algorithms, smart healthcare systems, and agricultural intelligence applications.[2]
Keywords
Artificial Intelligence, Machine Learning, Data Science, Big Data Analytics, Deep Learning, Data Mining, Cloud Computing, Internet of Things, Healthcare Analytics, Computer Vision.
Introduction
The rapid advancement of Artificial Intelligence and Data Science technologies has transformed research and innovation across industries including healthcare, agriculture, cybersecurity, and intelligent systems. Researchers contributing to these domains play a crucial role in addressing complex real-world problems through computational intelligence and data-driven methodologies. Dr. N. Sandhya’s academic and research contributions demonstrate strong engagement in emerging technological domains, particularly in AI-driven predictive systems, machine learning optimization, and intelligent data processing.[3]
Research Profile
Dr. N. Sandhya currently serves as Professor and Head of Research & Development at VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad. She completed her Ph.D. in Computer Science and Engineering from Acharya Nagarjuna University and has over two decades of teaching and research experience. Her research interests span Artificial Intelligence, Machine Learning, Data Mining, Information Retrieval Systems, Cloud Computing, and IoT-based intelligent applications.[1]
She has guided multiple doctoral scholars and contributed significantly to academic administration, curriculum development, faculty development programs, and international conferences. Her academic profile includes several Scopus-indexed publications, patents, funded projects, keynote talks, and research collaborations with national and international academic bodies.[4]
Research Contributions
Dr. N. Sandhya’s research contributions focus on intelligent computing systems, optimization-driven machine learning models, healthcare prediction systems, big data stream analytics, and AI-enabled image processing techniques. Her research work includes advanced clustering algorithms, GAN-based medical image classification, deep learning methods for crop disease prediction, explainable AI in healthcare, and optimization-enabled Spark frameworks for big data processing.
Her interdisciplinary research also addresses practical industrial and societal challenges through AI-driven healthcare analytics, agricultural intelligence systems, and computer vision models for surveillance and object detection. She has actively contributed to sponsored research initiatives funded by AICTE and DRDO, further strengthening translational research and innovation ecosystems.
Selected Publications
- From Blackbox to Explainable AI in Healthcare: Existing Tools and Case Studies, Mobile Information Systems, 2022.
- Hybrid Deep WaveNet-LSTM Architecture for Crop Yield Prediction, Multimedia Tools and Applications, 2023.
- Machine Learning Framework for Stagewise Classification of Alzheimer’s Disease, Springer Proceedings, 2023.
- XLTransGAN: A Fusion of XLNet and GANs in Generative Models for Text-to-Image Synthesis, Springer, 2025.
- Routing Enabled Optimization and Deep Recurrent VGG-16 Model for Plant Disease Detection in IoT, Computers and Electronics in Agriculture, 2026.
Sponsored Projects
Dr. N. Sandhya received AICTE funding for the project titled “Development of a Tool to Predict Mechanical Properties of Steel by Exploring Data Science Techniques”. She also secured a major DRDO–Industry Academia Centre of Excellence (DiA-CoE) grant worth ₹1.30 Crores for the project titled “All-Weather Image Enhancement and Object Detection for Drone and Armored Vehicle Imagery”, emphasizing advanced AI-driven defense applications and intelligent image analytics.
Awards & Recognition
Dr. N. Sandhya has received several recognitions for academic and research excellence including the Best Teacher Award (2024), VIFFA Young Faculty Award (2015), Award of Excellence sponsored by SAP India Pvt. Ltd., and multiple excellence awards for outstanding academic performance and student results. She has also earned professional certifications in Oracle technologies, AI, Machine Learning, Data Science, and Python programming from reputed institutions including IIT Bombay, NPTEL, Coursera, and IIIT Hyderabad.
Research Impact
The research contributions of Dr. N. Sandhya have demonstrated measurable academic impact through Scopus-indexed publications, citation records, doctoral guidance, interdisciplinary collaborations, and funded research projects. Her work contributes to emerging research areas including explainable AI, healthcare analytics, intelligent agriculture systems, and optimization-based big data processing.[1]
Her academic influence extends through keynote talks, invited lectures, conference chairing responsibilities, reviewer activities, and faculty development initiatives conducted in collaboration with IITs, NITs, IEEE, Springer conferences, and national academic organizations.
Conclusion
Dr. N. Sandhya represents a highly accomplished academic researcher and educator in the field of Computer Science and Engineering. Her extensive contributions in Artificial Intelligence, Machine Learning, Big Data Analytics, and intelligent systems research demonstrate sustained academic excellence, innovation, and societal relevance. Through impactful publications, funded projects, patents, doctoral supervision, and interdisciplinary research activities, she continues to advance scientific knowledge and technological innovation in emerging computational domains.[1]
External Links
References
- Parvathaneni Naga Srinivasu, N. Sandhya, Rutvij H. Jhaveri, R. Raut. From Blackbox to Explainable AI in Healthcare: Existing Tools and Case Studies. Mobile Information Systems, 2022, Article ID 8167821.
https://doi.org/10.1155/2022/8167821
- C.H. Vidyadhari, N. Sandhya, P. Premchand. A Semantic Word Processing Using Enhanced Cat Swarm Optimization Algorithm for Automatic Text Clustering. Multimedia Research, 2(4), 23–32, 2019.
https://publisher.resbee.org/mr/archive/v2i4/a3.html
- A.G. N. Sandhya. Analysis of Similarity Measures with WordNet based Text Document Clustering. Advances in Intelligent and Soft Computing, Vol. 132, 2012.
https://link.springer.com/chapter/10.1007/978-3-642-27443-5_80
- N. Sandhya, V. Sowmya, C.R. Bandaru, G.R. Babu. Prediction of Mechanical Properties of Steel Using Data Science Techniques. International Journal of Recent Technology and Engineering, 8(3), 2019.
https://www.researchgate.net/publication/364107818