Associate professor , at West Ukrainian National University, Ukraine.

Assoc. Prof. Dr. Khrystyna Lipianina-Honcharenko is a dedicated academic and researcher specializing in Information Technology, with a strong foundation in economic cybernetics and artificial intelligence. Based at the West Ukrainian National University in Ternopil, Ukraine, she has steadily progressed through the academic ranks, currently serving as an Associate Professor in the Department of Information Computer Systems and Control. Her work bridges data science, simulation, and socio-economic modeling, with a strong commitment to research excellence and innovation in education and interdisciplinary projects.

Professional Profile

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Education 🎓

Dr. Lipianina-Honcharenko holds a Ph.D. in Technical Sciences (2019), with a specialization in Information Technology, and is currently completing her Doctor of Technical Sciences (2025) at West Ukrainian National University. She began her academic journey with a Bachelor’s degree in Economic Cybernetics (2011), followed by a Master’s degree in Information Technologies in Economics (2012). She also completed postgraduate studies in Economic Cybernetics and Informatics between 2013 and 2017. Her education reflects a deep and consistent engagement with technical and analytical disciplines critical to modern digital research.

Experience 💼

Dr. Lipianina-Honcharenko has over a decade of academic experience. She began as a Laboratory Assistant in the Department of Economic Cybernetics and Informatics (2012–2014), before becoming a Lecturer in the same department (2013–2020). She then served as a Senior Lecturer in the Department of Information Computer Systems and Control (2020–2021) and was promoted to Associate Professor in 2021, a role she currently holds. Her teaching and mentorship have consistently focused on data science, IT systems, and modeling, contributing to the development of future tech-savvy professionals.

Research Interests 🔬

Her research interests include data analysis, simulation, machine learning, modeling and forecasting socio-economic processes, and the development of artificial intelligence methods. She actively contributes to cutting-edge research in cyber-physical systems, and has led or participated in numerous national and international projects, including Erasmus+ initiatives, disinformation detection tools (TruScanAI), and digital heritage visualization through augmented and virtual reality. Her work is known for its interdisciplinary applications, blending technology, economics, and societal impact.

Awards 🏆

While specific named awards are not listed, Dr. Lipianina-Honcharenko’s selection and participation in prestigious European research initiatives such as Erasmus+ “Work4CE”, My Farm, and AURA projects highlight her recognized competence and contribution on an international scale. Her leadership in these multi-national projects reflects her credibility and collaborative skills in the global academic community.

Top Noted Publications 📚

1. Decision Tree Based Targeting Model of Customer Interaction with Business Page
Authors: H. Lipyanina, A. Sachenko, T. Lendyuk, S. Nadvynychny, S. Grodskyi
Index: CMIS
Citations: 37
Year: 2020
Pages: 1001–1012

2. Economic Crime Detection Using Support Vector Machine Classification
Authors: A. Krysovatyy, H. Lipyanina-Goncharenko, S. Sachenko, O. Desyatnyuk
Index: MoMLeT+ DS 2917
Citations: 25
Year: 2021
Pages: 830–840

3. Assessing the Investment Risk of Virtual IT Company Based on Machine Learning
Authors: H. Lipyanina, V. Maksymovych, A. Sachenko, T. Lendyuk, A. Fomenko, I. Kit
Index: International Conference on Data Stream Mining and Processing
Citations: 24
Year: 2020
Pages: 167–187

4. Targeting Model of HEI Video Marketing Based on Classification Tree
Authors: H. Lipyanina, S. Sachenko, T. Lendyuk, A. Sachenko
Citations: 22
Year: 2020

5. Concept of the Intelligent Guide with AR Support
Authors: K. Lipianina-Honcharenko, R. Savchyshyn, A. Sachenko, A. Chaban, I. Kit, et al.
Index: International Journal of Computing, Vol. 21, No. 2
Citations: 19
Year: 2022
Pages: 271–277

Conclusion

Assoc. Prof. Dr. Khrystyna Lipianina-Honcharenko exemplifies the qualities of a committed young scientist, with a diverse academic background, substantial international research experience, and a clear focus on interdisciplinary innovation. Her growing portfolio of research, especially in AI and cyber-physical systems, makes her a highly suitable candidate for prestigious recognitions such as the Research for Young Scientist Award. With continued development in international communication and publication outreach, she is well-positioned to make an even broader impact in the global scientific arena.

Prof. Dr Fengxian Xin | Mechanical Engineering | Best Researcher Award |

Published on 25/04/202525/04/2025 by Award and Honors

Prof. Dr. Fengxian Xin | Mechanical Engineering | Best Researcher Award

Professor , at Xi’an Jiaotong University, China.

Prof. Dr. Fengxian Xin is a distinguished Professor of Mechanical Engineering at the School of Aerospace, Xi’an Jiaotong University, China. With a strong academic and research background in acoustics, vibroacoustics, and solid mechanics, he has developed an international reputation for advancing knowledge in structural sound transmission, acoustic materials, and fluid-structure interactions. Known for his deep theoretical insights and practical modeling skills, Prof. Xin actively collaborates across global academic institutions and remains dedicated to the education and mentorship of future engineers and scientists.

Professional Profile

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Education 🎓

Prof. Xin received his Ph.D. in Mechanics from the School of Aerospace, Xi’an Jiaotong University in 2011 under the supervision of Prof. T.J. Lu. Prior to this, he completed his Master’s degree in the same field and institution in 2008 and earned his Bachelor’s degree in Engineering Mechanics in 2006. His education was firmly rooted in state and MOE key laboratories for strength and vibration, providing a strong foundation in structural dynamics and mechanical behavior of materials

Experience 💼

Prof. Xin began his academic career as a Lecturer (2011–2013) at Xi’an Jiaotong University and rose through the ranks as Associate Professor (2014–2020) before being appointed Full Professor in 2020. His global academic engagement includes serving as a Visiting Scholar at Harvard University (2015–2016) and the Massachusetts Institute of Technology (MIT) in 2017, where he further enriched his research in advanced acoustics and mechanical systems.

Research Interests 🔬

Prof. Xin’s primary research interests lie in acoustofluidics, vibroacoustic behavior of structures, sound absorption materials, and cell and tissue mechanics. His work explores the interaction between sound waves and mechanical structures, with applications in lightweight aerospace structures, noise control, and biomechanics. His research blends analytical modeling, experimental validation, and computational simulation, contributing to the theoretical foundation and practical improvement of acoustic and mechanical systems.

Awards 🏆

Prof. Xin has earned recognition for his scholarly contributions, including the National Science and Technology Academic Publication Fund for his monograph published in Chinese. His international exposure and scholarly excellence have positioned him as a leading expert in vibroacoustics, invited to contribute to academic books and collaborative research projects with world-class institutions.

Top Noted Publications 📚

1. Tunable acoustic metamaterial for broadband low-frequency sound absorption by continuous acoustic impedance manipulation
Authors: Wang, Xiaochen; Yu, Chenlei; Xin, Fengxian
Citations: 5
Journal: Journal of Vibration and Control (JVC)
Year: 2025

2. Effect of Three-Dimensional auxetic honeycomb core on behavior of sound transmission loss in shallow sandwich cylindrical shell
Authors: Sayad Ghanbari Nezhad, Mojtaba; Motavasselolhagh, Mehrdad; Talebitooti, R.; Xin, Fengxian
Citations: 0
Journal: Composite Structures
Year: 2025

3. Broadband sound absorption of micro-perforated sandwich panels with hierarchical honeycomb core at high sound pressure levels
Authors: Zhou, Xindong; Zhang, Weitao; Geng, Xiangfei; Xin, Fengxian
Citations: 2
Journal: Composite Structures
Year: 2025

4. Hybrid honeycomb structure for enhanced broadband underwater sound absorption
Authors: Cai, Chuxiang; Xin, Fengxian
Citations: 5
Journal: International Journal of Mechanical Sciences
Year: 2024

5. Dual-Scale Spiral Material for Balancing High Load Bearing and Sound Absorption
Authors: Yu, Chenlei; Duan, Mingyu; Ti, Fei; Li, Moxiao; Chen, Xin
Citations: 5
Journal: Advanced Science (Open Access)
Year: 2024

Conclusion

Prof. Dr. Fengxian Xin stands as a leading voice in the field of mechanical and acoustic engineering, with a career that bridges rigorous theoretical research and practical problem-solving. His consistent academic growth, international collaborations, and impactful publications make him a worthy candidate for prestigious recognitions such as the Best Researcher Award. With continued contributions to acoustics and mechanics, Prof. Xin is set to remain a key contributor to global advancements in mechanical engineering.

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

Published on 18/04/202518/04/2025 by Award and Honors

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 Chirag Patel | Engineering | Best Researcher Award |

Published on 18/04/202518/04/2025 by Award and Honors

Mr. Chirag Patel | Engineering | Best Researcher Award

NVH specialist , at CEAT limited,India

Mr. Chirag Patel, born on December 20, 1983, in Vadodara, Gujarat, India, is a seasoned expert in Computer-Aided Engineering (CAE) and Noise, Vibration, and Harshness (NVH), with over 15 years of experience in the automotive and tyre industry. He is currently serving as a Specialist (Senior Manager) at CEAT Ltd., where he leads a team focused on advanced tyre simulation technologies. Chirag is passionate about developing innovative methodologies that merge simulation tools with practical applications, especially in the field of vehicle acoustics, ride performance, and multibody dynamics.

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Education

Chirag Patel holds a Master’s degree in Engineering and began his career in academia as an Assistant Professor at Charotar University of Science and Technology. His strong academic foundation in mechanical engineering and early exposure to teaching has enriched his analytical thinking and shaped his journey in simulation and applied research.

Experience

Mr. Patel brings rich experience from globally recognized organizations such as CEAT Ltd., Apollo Tyres, Tata AutoComp Systems (at FIAT Chrysler), HCL Technologies (at John Deere), and Ingersoll Rand. At CEAT, he is responsible for simulation methodology development, NVH analysis, acoustic modeling, tyre model validation, and automation in simulation workflows. His earlier roles include conducting full-vehicle dynamic analysis, NVH studies, acoustic testing, and simulation process optimization. His career began as a Project Engineer at Ingersoll Rand and later transitioned into academia before moving into core automotive simulation roles.

Research interest

His primary research interest lies in tyre dynamics, NVH behavior, acoustic simulation, and ride handling through tools such as ABAQUS, ADAMS, HyperMesh, Wave6, and MATLAB. Chirag has led pioneering projects on tyre cavity noise, foam tyre development for low in-cabin noise, rolling simulations, and modal-frequency-based analysis for structure-borne sound. His research also involves tyre modeling for MBD simulations, using models like PAC2002, MF-Swift, and F-Tire, validated through vehicle handling simulations.

Awards

Chirag has achieved significant milestones, including leading multiple tyre simulation methodologies and applying for a patent for a foam-based tyre concept aimed at reducing in-cabin noise. He has also contributed to university-industry collaboration projects and has been instrumental in establishing simulation processes and tools used in commercial vehicle and two-wheeler tyre development. These efforts have garnered internal recognitions and strengthened his reputation as a technical leader.

Publications

Title: A waveguide finite element model with geometric nonlinearity and orthotropy to analyse broadband vibrations in a reinforced radial tyre
Authors: M. Londhe, R. Oorath, C.B. Patel (Chirag Bharatbhai Patel), N. Tiwari
Journal: Wave Motion
Indexing: Indexed in Scopus and Web of Science
Citations: 0 (as of now)
Year of Publication: 2025

Conclusion

With a solid foundation in engineering, years of hands-on experience, and a drive for innovation, Mr. Chirag Patel stands out as a leading professional in the CAE/NVH domain. His work at the intersection of engineering design, acoustic simulation, and performance optimization showcases his commitment to excellence and industry advancement. A valuable asset to any research or development initiative, Chirag Patel is a strong candidate for recognition such as the Best Researcher Award 2024.

Mr Ernesto Diaz | Data Scientist | Best Researcher Award

Published on 26/02/202526/02/2025 by Award and Honors

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

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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. 🚀