Oussama Baaloudj | Engineering | Young Scientist Award

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Oussama Baaloudj | Engineering | Young Scientist Award

Università degli Studi della Basilicata | Italy

Dr. Oussama Baaloudj is a dedicated postdoctoral researcher and process engineer whose work centers on advancing sustainable water treatment and environmental process engineering. He is currently contributing to innovative research at the University of Basilicata, where he plays a key role in the development and validation of decentralized urban wastewater treatment systems within the PRIMA SAFE project, a multinational initiative focused on promoting safe and sustainable water reuse in agriculture, food production, and environmental management. His career reflects a strong international dimension, with research experiences across Italy, Canada, France, and Algeria, allowing him to collaborate effectively in diverse academic and industrial settings. Previously, he worked as a part-time researcher at the University of Houari Boumediene, where he contributed to projects in process and reaction engineering within the Laboratory of Reaction Engineering. His doctoral internship at the University of Quebec in Trois-Rivières strengthened his expertise in designing and synthesizing advanced sillenite-based photocatalysts, further enhancing his interdisciplinary research capabilities. A highly productive researcher, he has published extensively in high-impact journals and accumulated more than 1,500 citations, showcasing the visibility and relevance of his contributions to the scientific community. His excellence has been recognized through notable honors, including the Scopus Award in 2022 and the FEEM Health Committee Research Award in 2025. Beyond his research activities, he has served as Guest Editor for journals such as Catalysts and ChemEngineering, and has acted as a peer reviewer for more than 50 scientific manuscripts, contributing to the quality and integrity of scholarly publishing. Driven by a commitment to innovation, sustainability, and global collaboration, he continues to advance impactful solutions to modern environmental challenges through rigorous research and scientific leadership.

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Featured Publications

Nandha Gopal | Engineering | Editorial Board Member

Published on by Citation Awards

Nandha Gopal | Engineering | Editorial Board Member

NANDHA COLLEGE OF TECHNOLOGY | India

Dr. N. Nandhagopal is a distinguished academic and researcher in Electronics, Communication Engineering, and Embedded System Technology, recognized for his extensive contributions to engineering education, research innovation, and academic leadership. With a strong foundation in electronics and applied electronics, further strengthened by advanced degrees including an M.E., Ph.D., and a highly commended D.Sc., he has developed deep expertise in embedded systems, medical image processing, and intelligent computational techniques. His doctoral research, focused on computer-aided diagnosis for automatic detection of brain tumors using MRI imaging, reflects his commitment to impactful, technology-driven healthcare solutions. Over the course of his career, he has held progressively responsible positions across several engineering institutions, beginning as a lecturer and advancing to Assistant Professor, Associate Professor, Professor, Head of Department, and Principal. His leadership roles demonstrate his ability to guide academic programs, mentor faculty, and enhance institutional quality. Throughout his professional journey, he has contributed to curriculum development, research supervision, and the implementation of innovative teaching methodologies aligned with AICTE standards. Dr. Nandhagopal is known for fostering research culture, promoting interdisciplinary collaboration, and integrating emerging technologies into engineering education. His strong academic background, combined with over a decade of teaching and administrative experience, highlights his dedication to advancing engineering knowledge and shaping the next generation of engineers.

Profile: Orcid | Google Scholar | Scoopus

Featured Publications

Nandhagopal, N., & Karnan, M. (2010). Diagnose brain tumor through MRI using image processing clustering algorithms such as Fuzzy C Means along with intelligent optimization techniques. In Proceedings of the 2010 IEEE International Conference on Computational Intelligence and Computing Research (pp. 241–246). IEEE.

Navaneethan, S., & Nandhagopal, N. (2021). RE-PUPIL: Resource efficient pupil detection system using the technique of average black pixel density. Sādhanā, 46(3), 114.

Satya Sreedhar, P. S., & Nandhagopal, N. (2022). Classification similarity network model for image fusion using ResNet50 and GoogLeNet. Intelligent Automation & Soft Computing, 31(3), 1–12.

Radhakrishnan, M., Panneerselvam, A., & Nachimuthu, N. (2020). Canny edge detection model in MRI image segmentation using optimized parameter tuning method. Intelligent Automation & Soft Computing, 26(6), 1–10.

Nandhagopal, N., Navaneethan, S., Nivedita, V., Parimala, A., & Valluru, D. (2021). Human eye pupil detection system for different iris database images. Journal of Computational and Theoretical Nanoscience, 18(4), 1239–1242.