lorenzo Maccioni | Engineering | Best Researcher Award

lorenzo Maccioni | Engineering | Best Researcher Award

Free University of Bozen Bolzano | Italy

Assist. Prof. Dr. Lorenzo Maccioni is an Assistant Professor at the Free University of Bozen-Bolzano (UNIBZ), where he conducts research within the European FSE+ project saveLUBe, focusing on sustainable and efficient lubrication of mechanical systems. His research centers on the evaluation, design, and monitoring of lubricated components such as bearings and gearboxes for power transmission applications, with strong links to regional and industrial needs. As a key member of the Machine Design group led by Professor Franco Concli, he contributes to industrial research projects spanning automotive and wind turbine bearings, electric mobility, and high power-density gearboxes for heavy industry and aerospace applications. His academic activities include teaching machine design and advanced manufacturing methodologies, supervising undergraduate, master’s, and doctoral research, and contributing to research proposal development and international scientific dissemination.

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Tolera Abdissa Feyissa | Engineering | Most Cited Article Award

Tolera Abdissa Feyissa | Engineering | Most Cited Article Award

Rostock University | Germany

Mr. Tolera Abdissa Feyissa is an academic and researcher in the field of Hydraulic and Water Resources Engineering with extensive experience in teaching, research, and academic leadership. He has served in higher education for more than a decade, progressing through roles as graduate assistant, assistant lecturer, lecturer, and assistant professor within engineering institutions. His academic work focuses on hydraulics, hydrology, flood and drought risk management, groundwater hydrology, open channel flow, hydraulic structures, and water resources planning and management. He has played a significant role in postgraduate education, including coordinating a Home Grown Postgraduate Program in collaboration with international partners, where he was responsible for organizing research activities, coordinating scholars, and strengthening academic capacity. In addition to teaching undergraduate and postgraduate courses, he has supervised and advised master’s students in hydraulic engineering on a wide range of research topics and has been actively involved in laboratory-based experimental work in hydraulic engineering. He has also contributed to academic administration and research development through leadership roles such as Research and Publication Director, supporting research dissemination and institutional research performance. His teaching portfolio includes core and advanced courses in hydraulics, surface and groundwater hydrology, environmental impact assessment, and water resources systems.

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Nandha Gopal | Engineering | Editorial Board Member

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.

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.