Tolera Abdissa Feyissa | Engineering | Most Cited Article Award

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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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Featured Publications

 

Nandha Gopal | Engineering | Editorial Board Member

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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.

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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.

Xusheng Wan | Engineering | Best Researcher Award

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Xusheng Wan | Engineering | Best Researcher Award

Southwest Petroleum University | China

Wan Xusheng, from Jingning, Gansu Province, is a distinguished professor, assistant dean, and doctoral supervisor at the School of Civil Engineering and Surveying, Southwest Petroleum University. He earned his Ph.D. in geotechnical engineering from the University of Chinese Academy of Sciences and completed a postdoctoral fellowship at Sichuan University. Professor Wan has led three National Natural Science Foundation projects and over ten other provincial and key laboratory-funded research initiatives. His work has earned him significant recognition, including a first prize in the Gansu Provincial Science and Technology Progress Award and a second prize in the National Association Award. He has published over 100 academic papers, 56 of which are SCI-indexed, garnering more than 1,200 citations, and holds over 40 national patents and four software copyrights. He serves on the editorial boards of the ASCE Journal of Cold Regions Engineering and the Glacier and Permafrost Institute and reviews for more than 40 international and domestic journals. Professor Wan teaches undergraduate courses in Soil Mechanics and Advanced Soil Mechanics, and graduate courses including Geotechnical Engineering Testing and Construction Monitoring, having guided more than 60 undergraduate projects and trained numerous master’s students. He has contributed extensively to teaching reform, leading provincial- and university-level projects, co-editing a graduate textbook, and publishing multiple educational reform papers. His students have achieved national and regional awards under his mentorship. Actively involved in professional organizations, he serves on committees related to cold regions engineering, geosciences, and civil engineering education, and is committed to advancing research, innovation, and talent cultivation in geotechnical engineering, particularly in cold and arid regions.

Profile: Scoups 

Featured Publications

  • Wan, X., Lai, Y., & Wang, C. (2015). Experimental study on the freezing temperatures of saline silty soils. Permafrost and Periglacial Processes, 26(2), 175–187.

  • Wan, X., You, Z., Wen, H., & Crossley, W. (2017). An experimental study of salt expansion in sodium saline soils under transient conditions. Journal of Arid Land, 9(6), 865–878.

  • Wan, X., Gong, F., Mengfei, [et al.]. (2019). Experimental study of the salt transfer in a cold sodium sulfate soil. KSCE Journal of Civil Engineering, 23(4), 1573–1585.

  • Wan, X., & Yang, Z. (2020). Pore water freezing characteristic in saline soils based on pore size distribution. Cold Regions Science and Technology, 173, 103030.

  • Wan, X., Zhong, C., Mohamed, H. S., Qiu, E., & Qu, M. (2020). Study on the thermal conductivity model of sodium sulfate soils. Experimental Heat Transfer.

  • Wan, X., Liu, E., & Qiu, E. (2021). Study on ice nucleation temperature and water freezing in saline soils. Permafrost and Periglacial Processes, 32(1), 119–138.