Raphael Capelli Guerra | Biomedical Engineering | Best Research Article Award

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Assoc. Prof. Dr. Raphael Capelli Guerra | Biomedical Engineering | Best Research Article Award

Hospital Sírio-Libanês / Faculdade Israelita de Ciências da Saúde Albert Einstein | Brazil

Dr. Raphael Capelli Guerra is a distinguished Oral and Maxillofacial Surgeon with a strong academic and clinical background in Brazil and abroad.  His expertise was further enhanced through an international fellowship in oral and maxillofacial surgery at the renowned Peking University School of Stomatology, China. Dr. Guerra has extensive hospital experience, serving as Head of the Department of Oral and Maxillofacial Surgery at Hospital Metropolitano de Sarandi, and as a specialist at the Maringá Dental Hospital. He has presented his work at numerous national and international conferences and is actively engaged in academic collaborations. Recognized for his commitment to advancing patient care and surgical education, Dr. Guerra continues to combine research, teaching, and clinical excellence, contributing significantly to the development of oral and maxillofacial surgery.

Profiles : Orcid

Featured Publications

Guerra, R. C. (2023–present). Oral and Maxillofacial Surgery. Hospital Municipal Dr. Arthur Ribeiro Saboya, São Paulo, SP, Brazil.

Guerra, R. C. (2017–present). Oral and Maxillofacial Surgeon. Hospital Beneficência Portuguesa de São Paulo, São Paulo, SP, Brazil.

Guerra, R. C. (2015–present). Postgraduate Professor of Oral and Maxillofacial Surgery. Hospital Sírio-Libanês, São Paulo, SP, Brazil.

Guerra, R. C. (2015–present). Oral and Maxillofacial Surgeon. Hospital e Maternidade São Luiz Unidade Itaim, São Paulo, SP, Brazil.

Guerra, R. C. (2015–present). Head of Department, Oral and Maxillofacial Surgery. Grupo Leforte, São Paulo, SP, Brazil.

Sandi Lubis | Social Science | Best Review Paper Award

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Dr. Sandi Lubis | Social Science | Best Review Paper Award

Universitas Muhammadiyah Sidenreng Rappang | Indonesia

-Sandi Lubis is a Lecturer at Universitas Muhammadiyah Sidenreng Rappang and a doctoral candidate in Government Science at Universitas Muhammadiyah Yogyakarta, specializing in digital governance and public administration innovation. With a strong academic profile, he has authored impactful publications in Q1 and Q2 indexed journals such as Frontiers in Sustainable Cities, Discover Applied Sciences, and Cogent Social Sciences, as well as national accredited journals. His research portfolio covers e-government maturity, cybersecurity in e-participation, smart cities, and the integration of emerging technologies such as AI and blockchain into governance systems. He has contributed six academic books with ISBNs, including works on digital transformation and smart governance. His academic visibility is reflected in his citation index with 8 citations overall, 86 since 2020, an h-index of 1, and an i10-index of 8, highlighting his growing influence in the field. Beyond academia, he has engaged in consultancy projects with local governments on digital governance and financial policy, bridging theory with practice. He also actively collaborates with scholars from Indonesia, China, India, Pakistan, and Hungary, advancing international discourse in governance studies. Recognized through reviewer roles and professional memberships, Sandi Lubis continues to shape sustainable governance models, aiming to reduce the digital divide and strengthen inclusive participation.

Profiles: Scopus | Orcid

Featured Publications

“Mapping the Intellectual Landscape of Cybersecurity in E-Participation: Trends, Challenges, and Emerging Insights”

“The use of big data in environmental quality monitoring and its impact on policy development: a bibliometric analysis”

“Synergizing AI and blockchain: a bibliometric analysis of their potential for transforming e-governance in smart cities”

“Unraveling Public Participation Trends in Development Planning”

“AI and Blockchain For Next-Generation E-Governance: A Comprehensive Bibliometric Review In Smart City Innovation”

Suk-Ju Kang | Computer Science and Artificial Intelligence | Best Researcher Award 

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Prof. Suk-Ju Kang | Computer Science and Artificial Intelligence | Best Researcher Award 

Sogang University | South Korea

Prof. Suk-Ju Kang is a distinguished Professor in the Department of Electronic Engineering at Sogang University, Seoul, Korea, specializing in visual computing, computer vision, and artificial intelligence. His research spans image synthesis and restoration, real-time 2D/3D human and hand pose estimation, and industrial AI applications such as anomaly detection and remaining useful life prediction. Prior to joining Sogang University in 2015, he served as Assistant Professor at Dong-A University and worked as a Senior Research Engineer at LG Display, contributing to advanced display technologies. He earned his Ph.D. in Electrical Engineering from POSTECH under the supervision of Dr. Young Hwan Kim, and his B.S. in Electronic Engineering from Sogang University. Prof. Kang has authored over 209 peer-reviewed publications, which have collectively garnered over 2,143 citations with an h-index of 25, reflecting his global research impact. He has been recognized with numerous honors, including the 2025 Haedong Best Paper Award, multiple Samsung Best Paper Awards (2023, 2024), the 2022 Merck Young Scientist Award, and the 2020 Young Researcher Award from The Korean Institute of Broadcast and Media Engineers. He also plays an active leadership role in academia, serving as Chairman of the AI and Computational Technology Society for Display, Chairman of the Image Processing Research Society, and Organizing Committee Chair for major international conferences such as ITC-CSCC and AISPC.

Profiles: Scopus | Google Scholar

Featured Publications

“Luminance Compensation for Stretchable Displays Using Deep Visual Feature-Optimized Gaussian-Weighted Kernels.” Journal of the Society for Information Display, 2025.

“DGTFNet: Depth-Guided Tri-Axial Fusion Network for Efficient Generalizable Stereo Matching.” IEEE Robotics and Automation Letters, 2025.

“CRAN: Compressed Residual Attention Network for Lightweight Single Image Super-Resolution.” IEEE Signal Processing Letters, 2025.

“Supervised Denoising for Extreme Low-Light Raw Videos.” IEEE Transactions on Circuits and Systems for Video Technology, 2025.

“Query-Vector-Focused Recurrent Attention for Remaining Useful Life Prediction.” IEEE Transactions on Reliability, 2025.