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Publications

The scholarly output of the Amity School of Engineering and Technology reflects its vibrant research culture, with faculty publishing extensively in high-impact international journals and reputed conference proceedings. The publication portfolio spans foundational and applied research across emerging technological domains, demonstrating significant contributions to leading book series and specialized volumes from prestigious academic publishers.

This body of work underscores the school's dedication to advancing knowledge that is both academically rigorous and practically relevant, further complemented by the active publication of edited volumes, book chapters, and translated patents.

65+

Journal Articles

100+

Conference Proceedings

45+

Books / Book Chapters

15+

Patents

Selected Publications

  1. Sharma, S., Neetha, S. S., Arya, P., & Prakash, C. (2026). Predicting electric vehicle performance metrics using a convolution neural network–gated recurrent unit–attention based deep learning architecture. Next Energy, 11, 100514. https://doi.org/10.1016/j.nxener.2026.100514
  2. Juneja, A., Painuli, D., Jagotra, I., Kumari, P., & Bhagat, H. V. (2025). Empowering the Grid: Applications and Challenges of Machine Learning in Renewable Energy Resources. International Journal of Multidisciplinary Research and Explorer, 5(3), 1-11.
  3. Anand, Darpan & Khemchandani, Vineeta & Gupta, Vishan & Pawar, Lokesh. (2026). Multi-Server Authentication and Key Agreement Protocol with Distributed Storage Utility. Journal of Transformative Technologies and Sustainable Development. 10. 10.1007/s41314-025-00090-5.
  4. Lokesh Pawar, Rohit Bajaj, Darpan Anand, "Resource Allocation Load Balancing Secure Schemes in Software Defined Networks: An Analytical Review", International Journal of Computer Networks and Applications (IJCNA), 12(4), PP: 523-537, 2025, DOI: 10.22247/ijcna/2025/32.
  5. Grover, S., Singh, S., Mangal, S. K., Singh, M., Kumar, A., Amraoui, L. E., ... & Oza, A. D. (2026). Process optimization and emission analysis of sustainable UA-RECDM machining of borosilicate glass using Citric Acid-NaCl electrolyte. The International Journal of Advanced Manufacturing Technology, 1-24.
  6. Agarwal, J., Sharma, S., Madan, P., Vishnoi, A., & Narooka, P. (2025). Computer intelligence based model for mental health detection among Indian farming communities. Scientific Reports, 15(1), 37872.
  7. Agarwal, P., Bhadula, S., & Sharma, S. (2026). A hybrid decision tree and random forest model for DDoS attack detection and mitigation in the Internet of Vehicles with enhanced data privacy. Recent Patents on Engineering. https://doi.org/10.2174/0118722121418032251125064501
  8. Dangi, S., Ghanshala, K., & Sharma, S. (2025a). Investigating space-time dynamics in live memory forensics using hybrid transformer approaches. International Journal of Advanced Computer Science & Applications, 16(7).
  9. Dangi, S., Ghanshala, K., & Sharma, S. (2025b). LIFT: Lightweight incremental and federated techniques for live memory forensics and proactive malware detection. International Journal of Advanced Computer Science and Applications, 16(4). http://dx.doi.org/10.14569/IJACSA.2025.0160445
  10. Devliyal, S., Goyal, H. R., & Sharma, S. (2025). ICDRET: A dynamic cyber risk estimation technique for intelligent Cyber-Physical Systems in PCS. The Open Bioinformatics Journal, 18(1). https://doi.org/10.2174/0118750362380269250502062754
  11. Juyal, A., Bhadula, S., & Sharma, S. (2025). YOLOv5-CBAM-EfficientNet: An optimized deep learning framework for traffic sign recognition in autonomous driving. International Journal of Advanced Technology and Engineering Exploration, 12(130). http://dx.doi.org/10.19101/IJATEE.2024.111101874
  12. Kapruwan, A., Sharma, S., & Goyal, H. R. (2025). ESCBR: Expert system enabled case-based reasoning approach in IDDCS for CIND. Recent Patents on Engineering, 19.
  13. Rawat, D., Sharma, S., & Bhadula, S. (2025). CT imaging-based deep learning system for non-small cell lung cancer detection and classification. International Journal of Advanced Computer Science & Applications, 16(5).
  14. Sharma, S., Mittal, P., Kumar, M., & Bhardwaj, V. (2025). The role of large language models in personalized learning: A systematic review of educational impact. Discover Sustainability, 6(1), Article 243. https://doi.org/10.1007/s43621-025-01094-z.
  15. Jain, S., Jindal, H., & Bharti, M. (2025). A Deep Neural Network Framework for the Detection of Bacterial Diseases from Chest X-Ray Scans. Infectious Disorders-Drug Targets, 25(8), E18715265358132.
  16. Jain, S., Jindal, H., & Bharti, M. (2025). A Deep Neural Network Framework for the Detection of Bacterial Diseases from Chest X-Ray Scans. Infectious Disorders-Drug Targets, 25(8), E18715265358132.
  17. Patni, J. C., Saxena, S., & Jindal, H. (2025). Offensive modelling to exploit ethical hacking perspective through images. International Journal of Information Technology & Decision Making. World Scientific Publishing Company.
  18. Jindal, H., Jain, S., & Aggarwal, A. (2024). Ensemble diabetic retinopathy detection in 2-D color fundus retina scan. Wireless Personal Communications, 137(3), 1469–1490. Springer.
  19. Aggarwal, A., Jain, S., & Jindal, H. (2024). Computational model for the detection of diabetic retinopathy in 2-D color fundus retina scan. Current Medical Imaging, 20, 1–20. Bentham Science Publishers.
  20. Bharti, M., Jain, S., & Jindal, H. (2024). Framework for image denoising employing different thresholding techniques. International Journal of Sensors, Wireless Communications and Control, 14(3), 185–203. Bentham Science Publishers.
  21. Jindal, H., Bharti, M., Kasana, S. S., & Saxena, S. (2023). An ensemble mosaicing and ridgelet based fusion technique for underwater panoramic image reconstruction and its refinement. Multimedia Tools and Applications, 82(22), 33719–33771. Springer.
  22. Sakshi, Sharma, C., Bhardwaj, V., & Aggarwal, G. (2026). Bridging classical and neural methods for improved segmentation in mathematical text-based images. Scientific Reports, 16(1). https://doi.org/10.1038/s41598-025-31232-6
  23. Thakur, D., Gera, T., Bhardwaj, V., Mazen, R., Lasisi, A., & Engida, T. (2026). A comparative study on advanced predictive modeling of thyroid cancer recurrence using multi-algorithmic machine learning frameworks. Scientific Reports, 16(1). https://doi.org/10.1038/s41598-025-33396-7
  24. Kumar, V., Kaur, M., Mittal, V., Alqaisi, T., & Bhardwaj, V. (2025). TLD-FDL: Tomato leaf disease classification using end-to-end fusion of deep learning models. SN Computer Science, 6(8). https://doi.org/10.1007/s42979-025-04491-3
  25. Sharma, S., Sunita, Sharma, C., Sodhi, A., & Bhardwaj, V. (2026). Blockchain and machine learning based security framework for autonomous vehicle ecosystems in the context of smart cities. SN Social Sciences, 6(2). https://doi.org/10.1007/s43545-026-01325-8
  26. Sharma, G., Dhiman, V., Kumar, M., & Bhardwaj, V. (2025). Consensus-driven blockchain authentication for resilient healthcare IoT applications. International Journal of Networked and Distributed Computing, 13(2). https://doi.org/10.1007/s44227-025-00074-z
  27. Kumar, M., Ahmed, B., Shuja, M., Dhiman, K., Quteishat, A. M. A., Qtaishat, A., & Bhardwaj, V. (2025). LCE-AIoT: A lightweight cryptographic algorithm for resource-constrained AIoT devices. Journal of Discrete Mathematical Sciences and Cryptography, 28(8), 3059–3069. https://doi.org/10.47974/JDMSC-2467
  28. Kumawat, G., Kant, T., Bhardwaj, V., Kumar, M., Rashid, A., & Othman, M. T. B. (2025). Cryptographic protocols for passwordless systems with enhanced security. Journal of Discrete Mathematical Sciences and Cryptography, 28(8), 2933–2944. https://doi.org/10.47974/JDMSC-2438