Prof. Dr ALEN JUGOVIC | TECHNOLOGY | Best Researcher Award |

Prof. Dr. ALEN JUGOVIC | TECHNOLOGY | Best Researcher Award

FULL PROFESSOR , at University of Rijeka, Faculty of Maritime Studies,Croatia

Prof. Dr. Alen Jugović is a distinguished Croatian academic and maritime economist with a profound impact in the field of port systems, maritime transport, and logistics. With over two decades of experience in higher education, research, and strategic project leadership, he is a full professor at the University of Rijeka, Faculty of Maritime Studies, where he also served as Dean from 2016 to 2022. His leadership and academic vision have significantly advanced maritime education and research infrastructure both in Croatia and across the Adriatic region.

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Education

Prof. Jugović holds a Ph.D. in Maritime Economics, with his doctoral work focused on economics of infrastructure projects in ports and port systems development. His education blends strong theoretical foundations with practical insight into the maritime transport sector. He has further honed his expertise through continuous collaboration with leading academic institutions and participation in inter-university doctoral programs.

Experience

Prof. Jugović has a rich professional background that combines academic excellence with institutional leadership. From 2016 to 2022, he served as Dean of the Faculty of Maritime Studies, overseeing academic programs, research initiatives, and administrative reforms. Previously, he held the position of Vice Dean for Finance (2013–2016). He has taught key courses such as Maritime Economics, Port Business, Passenger Traffic, and Entrepreneurship, and has been a guest lecturer at universities across Croatia. He has led or participated in over 90 strategic and expert projects, including EU-funded IPA cross-border cooperation programs like PROMARES, MIMOSA, and FRAMESPORT.

In addition, he is the founder of the Maritime Science and Technology Research Hub (MASTER Hub), a cutting-edge facility hosting labs in virtual reality, refrigeration technology, materials, and cognitive neuroscience. He also established educational centers and foundations supporting student excellence and social equity.

Research interest

Prof. Jugović’s research revolves around maritime economics, port business management, passenger maritime transport, and entrepreneurship in logistics. He is especially recognized for his work on infrastructure development, multimodal transport systems, and innovation in port operations. His interdisciplinary approach bridges economic theory with operational and policy-driven maritime logistics, making his work highly applicable to both academia and industry.

Awards

In 2021, he was honored with a national award from the Ministry of Sea, Traffic, and Infrastructure for his outstanding contribution to the development and international reputation of Croatian maritime transport. This recognition reflects his longstanding influence and thought leadership in shaping the future of the shipping and port industries.

Publications

“Seaports and Economic Growth: Panel Data Analysis of EU Port Regions”
Authors: G. Mudronja, A. Jugović, D. Škalamera-Alilović
Published in Journal of Marine Science and Engineering, Vol. 8(12), 2020
Citations: 81

“Menadžement pomorskoputničkih luka”
Authors: B. Kesić, A. Jugović
Published in 2006
Citations: 76

“Factors Influencing the Formation of Freight Rates on Maritime Shipping Markets”
Authors: A. Jugović, N. Komadina, A. Perić Hadžić
Published in Pomorstvo, Vol. 29(1), 2015
Citations: 74

“Sustainable Development Model for Nautical Tourism Ports”
Authors: A. Jugović, M. Kovačić, A. Hadžić
Published in Tourism and Hospitality Management, Vol. 17(2), 2011
Citations: 72

“A Study on Cyber Security Threats in a Shipboard Integrated Navigational System”
Authors: B. Svilicic, I. Rudan, A. Jugović, D. Zec
Published in Journal of Marine Science and Engineering, Vol. 7(10), 2019
Citations: 66

Conclusion

Prof. Dr. Alen Jugović stands out as a leading academic figure in maritime economics and port systems management. His combined expertise in research, education, and institutional leadership has helped shape national policies, modernize educational infrastructure, and contribute meaningfully to international collaborations. With a rare blend of theoretical insight, practical knowledge, and innovation leadership, he is a deserving candidate for any prestigious academic or research excellence award in the fields of transport economics, maritime studies, and sustainable infrastructure development.

Mr Ernesto Diaz | Data Scientist | Best Researcher Award

Mr Ernesto Diaz |  Data Scientist | Best Researcher Award

Assistant Specialist at University of California, San Francisco – Radiology & Biomedical Imaging , United States.

Ernesto Diaz is an accomplished researcher and data scientist specializing in biomedical imaging and artificial intelligence applications in healthcare. With a strong background in medical imaging, deep learning, and data science, he has contributed significantly to Hyperpolarized Carbon-13 MRI research, cancer imaging, and radiation oncology. His work has been recognized through prestigious NIH awards, peer-reviewed publications, and multiple conference presentations. Passionate about advancing healthcare technology, Ernesto combines technical expertise with a commitment to mentorship and diversity in STEM.

Professional Profile

Orcid

Education 🎓

Ernesto earned his Bachelor of Science in Computer Science from San Francisco State University in 2022, graduating with Dean’s List honors (2020-2022). His education provided a strong foundation in programming, data analysis, and computational research, which he has applied extensively in biomedical imaging and artificial intelligence projects.

Professional Experience 💼

  • As a Data Scientist at UCSF’s Department of Radiology and Biomedical Imaging, Ernesto leads software development for medical imaging analysis, enhancing data processing and visualization tools. His previous research experience includes working on automated radiation treatment planning and bioinformatics coding for population health studies. His contributions have improved efficiency in clinical workflows and advanced AI applications in medical imaging.

Research Interests 🌍

His research revolves around Hyperpolarized Carbon-13 MRI, deep learning for medical image segmentation, and automation in radiation oncology. At UCSF, he developed a DICOM standardization tool for metabolic imaging and co-developed a U-Net deep learning model for prostate cancer segmentation. Additionally, he has explored health disparities in underserved communities, analyzing COVID-19’s impact on marginalized populations.

Awards & Honors 🏆

  • NIH Diversity Supplement Award (2022-2024) – Recognized for contributions to Hyperpolarized 13C MRI research.
  • NIH-SF BUILD Scholar (2021-2022) – Selected for leadership potential and commitment to diversity in research.
  • Dean’s List (2020-2022) – Awarded for academic excellence at San Francisco State University.

Top Noted Publications 📚

Title: Deep Learning-Based Tumor Segmentation of Murine Magnetic Resonance Images of Prostate Cancer Patient-Derived Xenografts

Authors: Satvik Nayak, Henry Salkever, Ernesto Diaz, Avantika Sinha, Nikhil Deveshwar, Madeline Hess, Matthew Gibbons, Sule Sahin, Abhejit Rajagopal, Peder E. Z. Larson, et al.

Journal: Tomography

Publication Year: 2025

DOI: 10.3390/tomography11030021

Indexing: Indexed in major scientific databases.

Conclusion

Ernesto Diaz is a rising leader in medical imaging research, blending AI, data science, and biomedical imaging to drive innovation. With his technical skills, research excellence, and dedication to mentorship, he continues to push the boundaries of healthcare technology and scientific discovery. 🚀