KHANNA Ashish

PhD in Computer Science Engineering, Associate Professor

Place of work: Maharaja Agrasen Institute of Technology (GGSIPU, Delhi, India), Computer Science and Engineering Department, Associate Professor

Skills and expertise:

• Distributed Systems (MANET, FANET, VANET, IoT);
• Machine Learning;
• Evolutionary Computing;
• Computer Science Engineering.

Links:
ORCID: https://orcid.org/0000-0002-1140-855X
Scopus: https://www.scopus.com/authid/detail.uri?authorId=34968180100
ResearchGate: https://www.researchgate.net/profile/Ashish-Khanna-2
Google Scholar: https://scholar.google.com/citations?hl=en&user=ic51V0cAAAAJ
Personal page: https://drashishkhanna.jimdo.com/

Some academic publications:

1. Gupta R., Khanna A., Virdee B. An integrated invasive weed meta-heuristic approach for economic energy management of grid structure. Lecture Notes in Networks and Systems. 2026. Vol. 1602. P. 1–20. https://doi.org/10.1007/978-3-032-03558-5_1
2. Gupta R., Khanna A., Virdee B. An integrated invasive weed meta-heuristic approach for economic energy management of grid structure. In: Proceedings of Data Analytics and Management (LNNS 1602). 2026. P. 1–20. https://link.springer.com/book/10.1007/978-3-032-03558-5
3. Kaur S., Kaur M., Khanna A. ConvNeXt based prognostication of axillary lymph node involvement in breast cancer based on smart CT interpretation. International Journal of Information Technology. 2026. Vol. 18 № 1. P. 471–478. https://link.springer.com/journal/41870
4. Sharma M. P., Virdee B., Khanna A., Sehgal L. Performance analysis and estimation of mobile ad-hoc networks (MANETs) using deep learning under the influence of malicious attacks, with the goal of fostering positive societal impacts. Lecture Notes in Networks and Systems. 2026. Vol. 1601. P. 275–284. https://link.springer.com/series/15179
5. Kaur S., Kaur M., Khanna A. Enhancing metastatic breast cancer prognostics for integrated multi-modal data using deep learning and generative adversarial networks. Lecture Notes in Networks and Systems. 2026. Vol. 1597. P. 102–116. https://link.springer.com/series/15179
6. Nandal P., Pahal S., Gupta S., Khanna A., Ali T. Lightweight ESRGAN-Based Underwater Image Quality Enhancement. Journal of Instrumentation. 2025. Vol. 20. Iss. 8. Article P08009. DOI: 10.1088/1748-0221/20/08/P08009
7. Hussain T., Khanna A., Virdee B., Krishna K. R., Arundathi J. V. S. Deep learning-based analysis of functional MRI and diffusion tensor imaging for Parkinson's disease diagnosis and progression monitoring. Intelligent Decision Technologies. 2025. Vol. 19. Iss. 4. P. 2196–2211. DOI: 10.1177/18724981251335096

E-mail: ashishkhanna@mait.ac.in