Şahin Tolga Güvel | Engineering | Research Excellence Award

Şahin Tolga Güvel | Engineering | Research Excellence Award

Osmaniye Korkut Ata Üniversitesi | Turkey

Assist. Prof. Dr. Şahin Tolga Güvel is an Assistant Professor in the Department of Civil Engineering, Project Management Division, at Osmaniye Korkut Ata University. He earned his PhD in Civil Engineering from Çukurova University with a focus on occupational health and safety practices in construction projects, following a master’s degree that examined the mechanical properties of high-strength concrete. His academic and research interests center on construction management, project management, occupational health and safety, and the application of modern technologies such as Building Information Modeling (BIM) in construction processes. He has also supervised graduate-level research, including studies on integrating BIM with material procurement and inventory management in construction projects

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Featured Publications


The level of implementation of occupational health and safety legislation in the Turkish construction sector

– Çukurova University Journal of Engineering-Architecture Faculty, 2018 (Cited by 9)


Diversification of rebar standard lengths and optimization to reduce rebar waste rate

– Gazi University Journal of Engineering and Architecture, 2021 (Cited by 3)


A novel special length rebar order approach based on AI optimization techniques for reduction of rebar cutting waste

– Journal of Construction Engineering, Management & Innovation, 2023 (Cited by 2)

Eva Malinverni | Engineering | Research Excellence Award

Eva Malinverni | Engineering | Research Excellence Award

Università Politecnica delle Marche | Italy

Prof. Eva Savina Malinverni is a Full Professor of Geomatics (SSD ICAR/06) at the Faculty of Engineering, DICEA, Università Politecnica delle Marche. Her research focuses on multiple areas of Geomatics, including Cultural Heritage documentation, land use analysis, digital acquisition techniques, and the management of complex spatial data through GIS, (H)BIM, 3D modeling, and CityGML. She is actively involved in international research initiatives, collaborating with CNR-ISPC and participating in several MAECI projects related to UNESCO and heritage sites across Europe, the Middle East, Southeast Asia, and South America. She leads major international and European projects, including bilateral scientific cooperation initiatives and EU-funded research on combating illicit cultural heritage trafficking through artificial intelligence. An active member of ICOMOS and Expert Member of CIPA-HD, she has also contributed to COST Actions focused on cyberparks and underground built heritage. With an extensive scientific output and strong interdisciplinary collaborations, she has co-founded university spin-offs and works closely with several interdepartmental research centers, contributing significantly to innovation, heritage preservation, and applied geomatics research.

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4268

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Featured Publications


A survey of augmented, virtual, and mixed reality for cultural heritage

– Journal on Computing and Cultural Heritage, 2018


From TLS to HBIM: High quality semantically-aware 3D modeling of complex architecture

– International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015


Deep convolutional neural network for automatic detection of damaged photovoltaic cells

– International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018


A benchmark for large-scale heritage point cloud semantic segmentation

– International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020

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.