Meziane Iftene | Artificial Neural Networks | Research Excellence Award

Dr. Meziane Iftene | Artificial Neural Networks | Research Excellence Award

Agence Spatiale Algérienne | Algeria

Dr. Meziane Iftene is a researcher at the Algerian Space Agency specializing in remote sensing, deep learning, and geospatial data fusion. He has authored and co-authored overpeer-reviewed publications in leading international conferences and journals. His work focuses on hyperspectral unmixing, very high-resolution image classification, and AI-driven environmental monitoring, including forest mapping and precision agriculture. He has led R&D initiatives, supervised nanosatellite projects, and contributed to national space system development such as the Alsat-3 program. Through international collaborations, his research advances GeoAI solutions for sustainable environmental management and intelligent Earth observation systems.

Citation Metrics (Scopus)

40

30

20

10

0

Citations
23

Documents
15

h-index
3

🟦 Citations 🟥 Documents 🟩 h-index

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Featured Publications


Very high resolution images classification by fusing deep convolutional neural networks.

– In Proceedings of the 5th International Conference on Advanced Computer Science and Technology (ACSAT 2017). (2017). Cited By: 6

Transfering super resolution convolutional neural network for remote sensing data sharpening.

In Proceedings of the 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS 2018). (2018). Cited By: 5

End-to-end change detection in satellite remote sensing imagery.

In Proceedings of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2021) (pp. 4356–4359). (2021). Cited By; 3

 

Amanpreet Kaur | Blockchain and Deep Learning | Best Researcher Award

Dr. Amanpreet Kaur | Blockchain and Deep Learning | Best Researcher Award

Professor | Chitkara University | India

Dr. Amanpreet Kaur is an accomplished researcher in computer science with expertise in artificial intelligence, blockchain, IoT, big data analytics, and machine learning. She earned her PhD in computer science from Jaipur National University after completing advanced degrees including M.Tech, M.Sc. in computer science, B.C.A., and a diploma in computer engineering. Her professional journey includes teaching, mentoring, and supervising M.Tech and Ph.D. scholars in cutting-edge research projects such as deep learning for healthcare, blockchain-based security frameworks, and network optimization. She has authored 64 publications in reputed IEEE and Scopus indexed journals and conferences, showcasing her consistent contributions to the academic community. Her research interests lie in deep learning, data security, smart networks, and sustainable computing technologies. She has been an active member of several professional organizations including IRED, IAENG, SDIWC, and CSTA, and holds multiple certifications such as MCP, Java, Python, and Software Testing, which strengthen her applied research profile. Her work reflects a strong blend of academic scholarship, technical expertise, and leadership, enabling her to play a key role in advancing research and guiding future professionals. She is recognized for her dedication to fostering innovation and contributing to the growth of the computer science domain. Her research impact is demonstrated by 722 citations across 57 documents with an h-index of 9.

Profiles : ORCID | Scopus | Google Scholar

Featured Publications

1.Amanpreet Kaur, S. S., Singh, G., Kukreja, V., Yoon, B., & Sharma, S. (n.d.). Adaptation of IoT with blockchain in food supply chain management: An analysis-based review in development, benefits and potential applications. Sensors, 22(21).

2.Kukreja, V. S., Sharma, R., Kaur, A., & Sachdeva, R. K. (n.d.). Deep neural network for multi-classification of parsley leaf spot disease detection. In Proceedings of the 2nd International Conference on Advance Computing and Innovative Technologies.

3.Kaur, A., Dhaka, V. S., & Singh, G. (n.d.). ACO agent-based routing in AOMDV environment. MATEC Web of Conferences, 57, 02005.

4.Bathla, N., Kaur, A., & Singh, G. (n.d.). Relative inspection of TCP variants Reno, New Reno, SACK, Vegas i8285n AODV. International Journal of Research in Engineering and Applied Sciences, 4.

5.Bathla, N., Kaur, A., & Singh, G. (n.d.). Congestion control techniques in TCP: A critique. In Proceedings of the 3rd National Conference of Advances and Research in Engineering.