Lubin Wang | Computer Science | Best Researcher Award

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Mr. Lubin Wang | Computer Science | Best Researcher Award

Guilin Institute of Information Technology | China

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🎓 Early Academic Pursuits

Mr. Lubin Wang began his academic journey with a Bachelor's degree in Computer Science and Technology at Shanxi Datong University. His early years were marked by active engagement in software development projects, where he not only served as a core developer but also honed critical skills in modular design, teamwork, and leadership. His proactive involvement in both academic and extracurricular technology initiatives laid a strong foundation for his future research career. Notably, he contributed to an open-source database management tool on GitHub that garnered over 2.4k stars, reflecting early promise and innovation.

💼 Professional Endeavors

Following his undergraduate studies, Mr. Wang advanced his expertise by enrolling in a Master's program at Guilin University of Technology, in collaboration with the National Space Science Center of the Chinese Academy of Sciences. Throughout this period, he managed several interdisciplinary projects in high-tech domains including IoT, aerospace data systems, and smart manufacturing. As a project lead and software manager, Mr. Wang took charge of planning, coordinating, and executing complex software systems, displaying not only technical aptitude but also remarkable project governance.

🧠 Contributions and Research Focus

Mr. Wang’s research spans a diverse set of domains unified by a core theme—intelligent systems and automation. He spearheaded the design and implementation of a cloud-based smart printing factory platform that combined neural networks with physical control systems, achieving near-perfect detection accuracy. In the realm of smart cities, he developed a novel traffic-responsive lighting control algorithm and integrated it into a robust management platform supported by SpringBoot and MQTT protocols. His contributions to wind turbine diagnostics involved developing MATLAB-based reliability models, while his work on smart oil testing platforms showcased expertise in OCR, blockchain, and predictive analytics.

🏅 Accolades and Recognition

Mr. Wang has earned numerous accolades that reflect his academic excellence and technical mastery. He secured the First Prize at the National College Student English Vocabulary Challenge in both 2022 and 2023 and was recognized in various programming and language competitions. His academic performance also earned him prestigious scholarships and awards throughout his graduate studies. Beyond these formal recognitions, his influence extends to the online education community, where his Bilibili content channel has amassed thousands of views, demonstrating his ability to communicate complex ideas to broader audiences.

🌍 Impact and Influence

The practical impact of Mr. Wang’s work is far-reaching. His innovations in smart factory and city infrastructure have been piloted at major institutions, contributing to automation, safety, and efficiency. His software and hardware solutions have influenced how industrial faults are detected and managed, while his academic guidance has helped numerous graduate students succeed in their entrance examinations. Mr. Wang’s ability to bridge theory with real-world applications underscores his role as both a thinker and a doer in the field of intelligent systems.

🔮 Legacy and Future Contributions

Looking ahead, Mr. Wang is positioned to continue making transformative contributions to the fields of artificial intelligence, urban computing, and autonomous control systems. His trajectory suggests not only sustained innovation but also leadership in shaping the future of intelligent infrastructure and research-led development. As a mentor, researcher, and technology developer, Mr. Wang is building a legacy defined by curiosity, excellence, and a profound commitment to technological advancement.

Publications

📘 HYFF-CB: Hybrid Feature Fusion Visual Model for Cargo Boxes

Authors: Juedong Li, Kaifan Yang, Cheng Qiu, Lubin Wang, Yujia Cai, Hailan Wei, Qiang Yu, Peng Huang
Journal: Sensors
Year: 2025

📗 BSMD-YOLOv8: Enhancing YOLOv8 for Book Signature Marks Detection

Authors: Long Guo, Lubin Wang (陆斌 王), Qiang Yu, Xiaolan Xie
Journal: Applied Sciences
Year: 2024

📙 DYNet: A Printed Book Detection Model Using Dual Kernel Neural Networks

Authors: Lubin Wang (陆斌 王), Xiaolan Xie, Peng Huang, Qiang Yu
Journal: Sensors
Year: 2023

Zhigang Chen | Computer Science | Best Researcher Award

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Mr. Zhigang Chen | Computer Science | Best Researcher Award

Central South University | China

Author Profile

Scopus

🎓 Early Academic Pursuits

Mr. Zhigang Chen embarked on his academic path in the field of Computer Science and Technology, eventually specializing in Computer Engineering. His formative education and early career reflect a strong focus on engineering fundamentals, technical proficiency, and emerging technologies.

🏢 Professional Endeavors

Mr. Chen currently serves as a Professor at the School of Computer Science, Central South University (CSU) in Changsha, Hunan Province, China. While he does not hold an administrative role, his professional impact is rooted in his extensive academic and instructional contributions. His core subject area lies in Computer Science and Engineering, with a specialized focus on the Internet of Things (IoT) and Distributed Systems.

🔍 Contributions and Research Focus

Mr. Chen’s research has significantly advanced fields such as IoT infrastructure, networked computing, and distributed teaching platforms. His academic influence also extends into curriculum development and instructional strategy, particularly in integrating practical and forward-looking technologies into the computer science education framework. His work fosters a solid technical foundation among students while equipping them with knowledge of future-facing innovations.

🏆 Accolades and Recognition

Mr. Chen has received national-level recognition for his contributions to software engineering education and technological instruction. His efforts have been pivotal in elevating the quality of teaching and research output at CSU, and he has played a role in formulating standards for curriculum structure and teaching methodologies in computer-related disciplines. He has been nominated to serve as Deputy Director of the Teaching Steering Committee for Software Engineering, a role that acknowledges both his leadership and subject matter expertise.

🌍 Impact and Influence

By actively contributing to the growth of IoT and distributed computing studies in China, Mr. Chen has helped shape a generation of computer science professionals. His work bridges engineering theory and applied innovation, with an impact visible in both academic circles and industrial collaboration. His guidance in curriculum reform and digital education platforms has influenced regional and national approaches to computer science education.

🌟 Legacy and Future Contributions

Mr. Zhigang Chen’s career is a testament to long-term dedication to educational excellence, technical innovation, and mentorship in engineering disciplines. As a thought leader in software engineering and emerging network technologies, he is poised to continue influencing the development of smart educational systems and integrated IoT frameworks. His future contributions will likely emphasize interdisciplinary learning environments, preparing students for the rapidly evolving technological landscape, and continuing to shape national education policy in computing.

Publications

📄SQID: A Deep Learning and Network Design Synergy for Next-Generation IoT Resource Allocation Management
Authors: A.M. Ibrahim, Ali M.A.; Z. Chen, Zhigang; Y. Wang, Yijie; H.A. Eljailany, Hala A.
Journal: Computer Communications
Year: 2025

📄 UVtrack: Multi-Modal Indoor Seamless Localization Using Ultra-Wideband Communication and Vision Sensors
Authors: Y. Xu, Yi; Z. Chen, Zhigang; M. Zhao, Ming; J. Liu, Jiaqi; N. Kato, Nei
Journal: IEEE Open Journal of the Computer Society
Year: 2025

📄Parallel Support Vector Machine Algorithm Based on Relative Entropy and Cosine Similarity
Authors: Y. Mao, Yinmin; B. Quo, Binbin; J. Yi, Jianbing; Z. Chen, Zhigang
Journal: Computer Integrated Manufacturing Systems (CIMS)
Year: 2024

📄 Advancing 6G-IoT Networks: Willow Catkin Packet Transmission Scheduling with AI and Bayesian Game-Theoretic Approach-Based Resource Allocation
Authors: A.M. Ibrahim, Ali M.A.; Z. Chen, Zhigang; H.A. Eljailany, Hala A.; K.A. Abouda, Khalid A.; W.M. Idress, Wail M.
Journal: Internet of Things (Netherlands)
Year: 2024

Guanghui Lu | Mathematics | Best Researcher Award

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Prof. Guanghui Lu | Mathematics | Best Researcher Award

Northwest Normal University | China

Author Profile

Scopus

Orcid

Early Academic Pursuits 🎓

Dr. Guanghui Lu embarked on his academic journey with a Bachelor’s degree in Mathematics and Applied Mathematics from Lanzhou City University (2008-2012). He then pursued a Master’s degree in Fundamental Mathematics at Xinjiang University (2012-2015), refining his expertise in mathematical theories. His academic pursuits culminated in a Ph.D. in Applied Mathematics from Northwest Normal University (2015-2018), where he delved into advanced mathematical models and computational techniques.

Professional Endeavors 🏛️

Since joining Northwest Normal University, Dr. Lu has demonstrated unwavering commitment to research and teaching. He began as a lecturer in the School of Mathematics and Statistics (2018-2020) and later became an Associate Professor (2021-present). His role involves mentoring students, conducting groundbreaking research, and contributing to the academic community through extensive collaborations.

Contributions and Research Focus 🔬

Dr. Lu’s research primarily revolves around mathematical analysis, operator theory, and Morrey spaces. He has significantly contributed to the study of integral operators, commutators, and fractional calculus on various mathematical structures. His work has explored bilinear singular integral operators, Calderón-Zygmund operators, and fractional Morrey spaces, which are crucial in modern mathematical analysis and its applications in physics and engineering.

His ongoing research projects include:
📌 National Natural Science Foundation of China (NSFC) – Youth Science Fund Project (2023-2025): Investigating the properties of Littlewood-Paley operators in maximal function spaces (30 million CNY).
📌 NSFC Regional Science Fund Project (2024-2027): Studying core operators on nonhomogeneous metric measure spaces (27 million CNY).

Accolades and Recognition 🏆

Dr. Lu has published numerous influential papers in prestigious mathematical journals, including:
✅ Bulletin des Sciences Mathématiques (2023, 2025)
✅ Mathematische Nachrichten (2024)
✅ Annals of Functional Analysis (2024)
✅ Nagoya Mathematical Journal (2022)

As the sole first author and corresponding author in all his papers, he has cemented his position as a leading researcher in his field.

Impact and Influence 🌍

Dr. Lu’s research has significantly influenced mathematical analysis, particularly in operator theory and function spaces. His findings contribute to solving complex problems in applied mathematics, with implications in physics, data analysis, and computational sciences. His mentorship of students and collaboration with fellow researchers further amplifies his academic impact.

Legacy and Future Contributions 🚀

With ongoing research projects and a steady stream of high-impact publications, Dr. Guanghui Lu is poised to make lasting contributions to mathematical sciences. His future work will likely explore deeper aspects of functional analysis and integral operators, reinforcing the role of mathematics in scientific advancements. Dr. Lu’s dedication to research, teaching, and knowledge dissemination ensures his continued prominence in the field of mathematics.

Publications

📄 Bilinear singular integral operators with generalized kernels and their commutators on product of (grand) generalized fractional (weighted) Morrey spaces
Author(s): G. Lu (Guanghui Lu), M. Wang (Miaomiao Wang), S. Tao (Shuangping Tao), R. Liu (Ronghui Liu)
Journal: Bulletin des Sciences Mathématiques
Year: 2025

📄 Bilinear Θ-type generalized fractional integral and its commutator on product of generalized fractional weighted Morrey spaces
Author(s): G. Lu (Guanghui Lu), Z. Zhang (Zheng Zhang)
Journal: Bulletin des Sciences Mathématiques
Year: 2024

📄 Θ-type fractional Marcinkiewicz integral operators and their commutators on some spaces over RD-spaces
 Author(s): G. Lu (Guanghui Lu), W. Tao (Wenwen Tao)
 Journal: Journal of Pseudo-Differential Operators and Applications
 Year: 2024

📄 Fractional type Marcinkiewicz integral and its commutator on grand variable Herz-Morrey spaces
 Author(s): X. Chen (Xijuan Chen), G. Lu (Guanghui Lu), W. Tao (Wenwen Tao)
 Journal: Journal of Pseudo-Differential Operators and Applications
 Year: 2024

Bita Mashayekhi | Business, Management and Accounting | Editorial Board Member

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Prof. Bita Mashayekhi | Business, Management and Accounting | Editorial Board Member

University of Tehran | Iran

Author Profile

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Early Academic Pursuits 🌟

Prof. Bita Mashayekhi's academic journey is a testament to her unwavering commitment to excellence in accounting education. She earned her Ph.D. in Accounting from the University of Tehran (1999–2004), where she graduated as the top-ranked student with a stellar GPA of 84/100. Her academic achievements began even earlier, with a first-ranked M.S. in Accounting from Shahid Beheshti University (1996–1998) and a B.S. from the Petroleum University of Technology (1992–1996), where she was recognized as an excellent student with a GPA of 90/100.

Professional Endeavors 🚀

Prof. Mashayekhi has a distinguished career in academia, spanning nearly two decades. She has served as a Professor of Accounting at the University of Tehran since 2023, following her tenure as an Associate Professor (2011–2023) and Assistant Professor (2005–2010). Her teaching repertoire includes vital subjects such as Financial Accounting, Managerial Accounting, and Corporate Governance, which have shaped countless students and professionals. Her international academic exposure includes a position at the University of Northern British Columbia and a visiting professorship at Sharif University of Technology. Beyond academia, her professional expertise extends to roles in financial reporting, internal auditing, and corporate governance consulting for prominent Iranian organizations.

Contributions and Research Focus 🔍

Prof. Mashayekhi's research is marked by her leadership in sustainability reporting, corporate social responsibility (CSR), and corporate governance frameworks. She has contributed to major projects funded by industry leaders like Kharg Petrochemical Company and Morvarid Petrochemical Company. Her work has led to pioneering frameworks for CSR reporting and operational budgeting in public universities. Her extensive publications in high-impact journals delve into ESG pillars, audit quality, and financial performance analysis, reflecting her significant contributions to the accounting and financial sciences domain.

Accolades and Recognition 🏆

Prof. Mashayekhi's illustrious career has been adorned with numerous accolades. She has been recognized as a "Distinguished Associate Dean-Education" (2021) and "Distinguished Teacher" (2017) at the University of Tehran's Teaching Festivals. Her academic journey has consistently been marked by excellence, being ranked first in her Ph.D. entrance exam and graduating as the top student in both her Ph.D. and M.S. programs. These honors highlight her exceptional capabilities as a scholar, educator, and mentor.

Impact and Influence 🌍

Through her leadership roles, including Associate Dean and Head of the Accounting Department at the University of Tehran, Prof. Mashayekhi has influenced the academic and professional accounting landscape. Her consultancy for major organizations such as FANAP, Tehran Securities Exchange Technology Management Co., and Amin Investment Bank has bridged academia and industry, fostering innovation and practical solutions in corporate governance and financial reporting.

Legacy and Future Contributions ✨

Prof. Mashayekhi's legacy lies in her ability to integrate academic rigor with practical application, creating impactful frameworks for sustainability and corporate governance. Her mentorship of numerous Ph.D. and Master's students ensures a lasting influence on future generations of accountants and auditors. As she continues to contribute through research, consultancy, and teaching, her future endeavors promise to shape the evolving field of accounting, leaving an indelible mark on both academia and industry.

 

Publications

📘 Perceived Internal Audit Quality and External Auditors’ Attributes in Iranian and Iraqi Banks
Journal: Journal of Risk and Financial Management  Year: 2024
Authors: Bita Mashayekhi, Yousif Mohammed

📘The Relative Importance of ESG Pillars: A Two-Step Machine Learning and Analytical Framework
Journal: Sustainable Development  Year: 2024
Authors: Bita Mashayekhi, Kaveh Asiaei, Zabihollah Rezaee, Amin Jahangard, Milad Samavat, Saeid Homayoun

📘The Controversial Link between CSR and Financial Performance: The Mediating Role of Green Innovation
Journal: Sustainability  Year: 2023
Authors: Saeid Homayoun, Bita Mashayekhi, Amin Jahangard, Milad Samavat, Zabihollah Rezaee

📘Mapping the State of Expanded Audit Reporting: A Bibliometric View
Journal: Meditari Accountancy Research Year: 2023
Authors: Bita Mashayekhi, Ehsan Dolatzarei, Omid Faraji, Zabihollah Rezaee

📘 The Role of Stakeholders' Perception in Internal Audit Status: The Case of Iran
Journal: Journal of Accounting in Emerging Economies  Year: 2021
Author: Bita Mashayekhi

 

John Yata Raymond Lubari | Business, Management and Accounting | Best Researcher Award

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Mr. John Yata Raymond Lubari | Business, Management and Accounting | Best Researcher Award

University of Science and Technology of China | China

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Early Academic Pursuits 📘

Mr. John Yata Raymond Lubari’s academic journey began with a Bachelor’s degree in Statistics and Demography from the University of Bahr El-Ghazal in South Sudan (2009-2014). Building on his passion for analytical and quantitative studies, he pursued a Master’s degree in Management Science and Engineering at Harbin Institute of Technology, China (2015-2018). Currently, he is a Ph.D. candidate at the University of Science and Technology of China, specializing in Statistics and Finance, with a focus on advanced statistical modeling and dynamic algorithms. His educational background is marked by a commitment to academic excellence and research innovation.

Professional Endeavors 🌟

Mr. Lubari has made significant contributions as both an academic and a professional in humanitarian and development sectors. As a lecturer at the University of Bahr El-Ghazal (2019-2023), he educated and mentored students in Business Administration and Statistics, fostering a generation of informed professionals. His NGO work includes roles as a Monitoring and Evaluation Officer for the Norwegian Refugee Council (2021-2023) and CEPO (2020-2021), where he designed data collection tools and implemented impactful projects. As a Gender-Based Violence Volunteer for SEFERWORLD (2018-2019), he actively engaged in community training and awareness campaigns, demonstrating his dedication to societal development.

Contributions and Research Focus 🔬

Mr. Lubari’s research is rooted in addressing complex statistical problems and advancing knowledge in fields like Bayesian Statistics, Recommendation Systems, and Non-Stationary Bandit Problems. His ongoing Ph.D. research focuses on Non-Stationary Multi-Armed Bandits, exploring the delicate balance of exploration-exploitation trade-offs in dynamic environments.

He has published impactful research, such as his study on Chadian gum Arabic trade using an augmented gravity model and an investigation into the interplay between tuberculosis elimination and HIV/AIDS in South Sudan. These works underscore his commitment to combining theoretical rigor with practical applications.

Accolades and Recognition 🏆

Mr. Lubari’s work has earned recognition in both academic and professional circles. His published studies in international journals like Sustainability and presentations at global conferences, including the World Congress on Patient Safety & Quality Healthcare in London, highlight his contributions to global knowledge. His ability to navigate and contribute to diverse fields reflects his interdisciplinary expertise and leadership.

Impact and Influence 🌍

Through his academic and professional endeavors, Mr. Lubari has significantly influenced education, statistical research, and community development. His leadership in designing and implementing data-driven projects has enhanced the effectiveness of developmental initiatives. By mentoring students and collaborating with communities, he has helped bridge knowledge gaps and empowered individuals to contribute meaningfully to society.

Legacy and Future Contributions 🌟

As a scholar and practitioner, Mr. Lubari's legacy lies in his ability to integrate statistical expertise with real-world applications. His ongoing Ph.D. research and diverse professional experiences position him to contribute innovative solutions in finance, statistics, and humanitarian projects. With a focus on education, interdisciplinary research, and global collaboration, his future contributions promise to further advance both academia and social impact initiatives.

 

Publications

📝 Article: Assessing Potential and Impact Factors Driving Chadian Gum Arabic International Trade Based on the Augmented Gravity Model
Author: John Yata Raymond Lubari
Journal: Sustainability
Year: 2024

📝 Article: The Factors Impact Tuberculosis Disease Elimination on HIV/AIDS in South Sudan
Author: John Yata Raymond Lubari
Journal: International Journal of Science and Research (IJSR)
Year: 2018

📝 Article: Impact of TB Elimination on HIV/AIDS in South Sudan
Author: John Yata Raymond Lubari
Journal: Journal of Patient Care / World Congress on Patient Safety & Quality Healthcare, London, UK
Year: 2017

 

Luis Cavique | Computer Science | Best Research Award

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Prof. Luis Cavique | Computer Science | Best Research Award

Universidade Aberta | Portugal

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Early Academic Pursuits 🎓

Prof. Luís Cavique began his academic journey with a strong foundation in Computer Science, earning a degree in Computer Science Engineering in 1988 from the Faculty of Science and Technology at the New University of Lisbon. His pursuit of advanced knowledge continued with a Master’s in Operational Research and Systems Engineering in 1994 from the Instituto Superior Técnico, Technical University of Lisbon, where he focused on complex problems like crew scheduling. His academic commitment culminated in 2002 with a PhD in Engineering Systems, where he explored meta-heuristics for the Maximum Clique Problem, emphasizing applications in market basket analysis. This robust educational background set the stage for a career marked by analytical depth and academic rigor.

Professional Endeavors 👨‍🏫

Prof. Cavique’s teaching career spans several decades, beginning in 1991 in the Polytechnic Education System in Portugal, where he held adjunct positions at Setúbal and Lisbon Polytechnic Institutes until 2008. Since then, he has served as an Assistant Professor with tenure at the Universidade Aberta, focusing on computer science within the Department of Sciences and Technology. His dedication to fostering knowledge extends to graduate and doctoral levels, where he teaches courses such as Data Mining, Social Network Analysis, and Optimization. Beyond academia, Prof. Cavique also gained hands-on experience in the banking sector as a Systems Engineer at Banco Pinto & Sotto Mayor and through internships at prominent institutions like Banco Espírito Santo and the National Laboratory of Civil Engineering.

Contributions and Research Focus 🔍

With a strong interdisciplinary approach, Prof. Cavique’s research bridges Computer Science and Engineering Systems, focusing primarily on heuristic optimization and data mining. His work has addressed three core data mining challenges: classification, association, and segmentation. Notable publications include groundbreaking algorithms and tools, such as the LAID algorithm for classification, Ramex for association in financial product analysis, and ComDetection for community detection in social networks. These contributions have positioned Prof. Cavique at the forefront of data-driven research, and his methods are applied widely in sectors requiring complex data analysis.

Accolades and Recognition 🏆

Prof. Cavique's scholarly work has been recognized internationally, with several of his papers published in prestigious journals. His 1999 paper on crew scheduling received the IFORS-Lisbon Prize in 2000 from the Association of Operational Research in Portugal (APDIO). Many of his publications are highly cited, with articles featured in Q1-ranked journals, illustrating the high impact and quality of his research. His dedication to advancing data mining and optimization has earned him both peer recognition and a strong citation record, showcasing his influence in these fields.

Impact and Influence 🌍

Throughout his career, Prof. Cavique has made a lasting impact on the fields of data mining and heuristic optimization. His research has influenced approaches in financial analytics, community detection in social networks, and data reduction techniques, providing foundational tools and algorithms that are utilized in academia and industry alike. His methodologies have empowered researchers and practitioners in various domains to make informed, data-driven decisions, underscoring his role as a pioneer in computational research.

Legacy and Future Contributions 🌟

As a leading academic and researcher, Prof. Cavique’s legacy is defined by his contributions to both knowledge and education in computer science. His focus on heuristic optimization and data mining continues to inspire new research, particularly in emerging fields such as bioinformatics and social network analysis. His commitment to teaching and mentoring the next generation of scientists ensures that his impact will extend well into the future, enriching the scientific community and driving innovation in computational methods.

 

Publications

  • 📝 Mitigating false negatives in imbalanced datasets: An ensemble approach
    Authors: Marcelo Vasconcelos; Luís Cavique
    Journal: Expert Systems with Applications
    Year: 2024
  • 📝 Assessment in Collaborative Learning
    Authors: Luis Cavique; M. Rosário Ramos
    Journal: Revista de Educación a Distancia (RED)
    Year: 2024

 

Doohyun Park | Computer Science | Best Researcher Award

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Dr. Doohyun Park | Computer Science | Best Researcher Award

VUNO Inc. | South Korea

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Early Academic Pursuits 🎓

Dr. Doohyun Park embarked on his academic journey at Yonsei University, where he earned his Bachelor's degree in Electrical and Electronic Engineering (2012-2016). His deep interest in medical applications of technology led him to pursue a Ph.D. at the same institution. His doctoral thesis focused on artificial intelligence-based preoperative prediction of axillary lymph node metastasis in breast cancer using whole slide images, which showcases his commitment to integrating AI in healthcare. His academic path laid the foundation for his future contributions to biomedical research and medical image analysis.

Professional Endeavors 💼

Dr. Park’s professional career is marked by his significant role at VUNO Inc., where he is part of the Lung Vision AI team. His work involves the development of computer-aided detection and diagnosis (CADe/CADx) on lung CT, focusing on innovative solutions for lung health. He has also worked on projects assessing the severity of COVID-19 and anomaly detection in spine CT. His expertise in the intersection of AI and healthcare has positioned him as a key contributor to advanced diagnostic technologies, reflecting his ability to bridge academia and industry.

Contributions and Research Focus 🔬

Dr. Park's research interests are centered around biomedical and clinical research, with a particular emphasis on computer-aided detection, diagnosis, and medical image analysis. He has published numerous papers on topics ranging from deep learning-based joint effusion classification to the development of AI models for lung cancer screening. His research has garnered recognition in top-tier journals, reinforcing his role in advancing AI applications in healthcare. He also holds multiple international and domestic patents related to prognosis prediction using image features, underscoring his contributions to the global research community.

Accolades and Recognition 🏆

Dr. Park’s outstanding contributions to medical image analysis have earned him several prestigious awards. Notably, he won the Best Paper Award at the 2023 MICCAI Grand Challenge for Aorta Segmentation and secured third place in the competition. His academic excellence has also been recognized through scholarships, including the Brain Korea 21 Scholarship and various research and teaching assistant scholarships during his time at Yonsei University. His consistent track record of achievements highlights his dedication to both research and education.

Impact and Influence 🌍

Dr. Park's work has had a profound impact on the field of medical AI, particularly in improving diagnostic tools for lung and breast cancer. His development of cutting-edge algorithms for image analysis has the potential to revolutionize early detection and prognosis in clinical settings. His invited talks at high-profile forums like the Global Engagement & Empowerment Forum on Sustainable Development (GEEF) further showcase his influence on global health initiatives, particularly in the context of the United Nations' Sustainable Development Goals.

Legacy and Future Contributions ✨

As Dr. Park continues his career, his legacy is being built on the foundations of innovation, interdisciplinary collaboration, and a commitment to improving healthcare outcomes. His ongoing projects, including AI-based lung cancer screening and prognosis prediction for adenocarcinoma, promise to shape the future of diagnostic medicine. With a robust portfolio of patents, publications, and collaborative research, Dr. Park is poised to make lasting contributions to both academic and clinical communities, further solidifying his role as a pioneer in medical AI.

 

Publications

📝 Deep Learning-Based Joint Effusion Classification in Adult Knee Radiographs: A Multi-Center Prospective Study
Authors: Hyeyeon Won, Hye Sang Lee, Daemyung Youn, Doohyun Park, Taejoon Eo, Wooju Kim, Dosik Hwang
Journal: Diagnostics
Year: 2024

📝 M3F: Multi-Field-of-View Feature Fusion Network for Aortic Vessel Tree Segmentation in CT Angiography
Authors: Yunsu Byeon, Hyeseong Kim, Kyungwon Kim, Doohyun Park, Euijoon Choi, Dosik Hwang
Journal: Book Chapter
Year: 2024

📝 Weakly Supervised Deep Learning for Diagnosis of Multiple Vertebral Compression Fractures in CT
Authors: Euijoon Choi, Doohyun Park, Geonhui Son, Seongwon Bak, Taejoon Eo, Daemyung Youn, Dosik Hwang
Journal: European Radiology
Year: 2023

📝 Development and Validation of a Hybrid Deep Learning–Machine Learning Approach for Severity Assessment of COVID-19 and Other Pneumonias
Authors: Doohyun Park, Ryoungwoo Jang, Myung Jin Chung, Hyun Joon An, Seongwon Bak, Euijoon Choi, Dosik Hwang
Journal: Scientific Reports
Year: 2023

📝 Importance of CT Image Normalization in Radiomics Analysis: Prediction of 3-Year Recurrence-Free Survival in Non-Small Cell Lung Cancer
Authors: Doohyun Park, Daejoong Oh, MyungHoon Lee, Shin Yup Lee, Kyung Min Shin, Johnson SG Jun, Dosik Hwang
Journal: European Radiology
Year: 2022

 

Iordanis Karavasilis | Economics, Econometrics and Finance | Best Researcher Award

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Mr. Iordanis Karavasilis | Economics, Econometrics and Finance | Best Researcher Award

International Hellenic University | Greece

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Early Academic Pursuits 📚

Mr. Iordanis Karavasilis embarked on his academic journey with a strong foundation in finance and accounting. He completed his Bachelor's degree in Finance and Accounting at the University of Macedonia in Thessaloniki, Greece, where he achieved a Grade Point Average of 7.43/10. His studies included comprehensive subjects such as Financial Administration, Banking Management, and Econometrics. Building on this foundation, he pursued a Master of Science in Business Economics: Finance at the University of Amsterdam, graduating with a GPA of 7.25/10. His thesis focused on the impact of "zombie banks" on the U.S. economy. He further advanced his education with an MBA in Hospitality and Tourism from International Hellenic University, where he excelled with a GPA of 9.93/10 and researched the effects of tourism on macroeconomic indicators in Greece.

Professional Endeavors 💼

Mr. Karavasilis has amassed extensive professional experience in financial management and accounting. Since February 2022, he has been serving as a Financial Manager at Kri Kri S.A., a leading dairy industry company in Greece. His role encompasses managing bank accounts, financial guarantees, corporate loans, and supplier payments, among other responsibilities. Prior to this, he worked as an Accounts Receivable Specialist at Kri Kri S.A., where he handled credit checking, financial reporting, and communication with customers. His early career included roles such as a Foreign Exchange Market Trader and Assistant Accountant, where he gained experience in financial analysis and accounting practices.

Contributions and Research Focus 🔍

Mr. Karavasilis’s academic research has significantly contributed to understanding economic impacts and financial systems. His ongoing PhD research at International Hellenic University focuses on "The effect of the digital economy on macroeconomic indicators of different geographical areas." His previous work includes a Master’s thesis on the effects of tourism on Greece’s macroeconomic indicators and a detailed analysis of zombie banks during his Master’s in Finance. His contributions are valuable in bridging theoretical knowledge with practical financial management and economic analysis.

Accolades and Recognition 🏅

Throughout his career, Mr. Karavasilis has received notable recognition for his academic and professional achievements. He was awarded a scholarship for his MBA studies at International Hellenic University and has been acknowledged for his contributions to various conferences and seminars. His expertise in financial management and economics has also been validated through certifications and diplomas, including a professional license as a Senior Accountant and specialized training in conflict management and foreign exchange trading.

Impact and Influence 🌟

Mr. Karavasilis’s work has had a profound impact on both academic and professional fields. His research on digital economy effects and macroeconomic indicators contributes to the understanding of contemporary economic challenges. His practical experience in financial management at Kri Kri S.A. demonstrates his capability in managing complex financial operations and enhancing organizational efficiency. His teaching roles at the International Hellenic University also reflect his commitment to shaping future professionals in the field.

Legacy and Future Contributions 🚀

Looking ahead, Mr. Karavasilis is poised to make further contributions to the field of finance and economics. His ongoing research and professional endeavors continue to influence financial practices and economic theories. His dedication to education and practical financial management underscores his commitment to advancing knowledge and fostering growth in the financial sector. His future work is expected to continue making significant strides in understanding and managing economic and financial systems.

 

Publications

📚 Forecasting the Evolution of the Digital Economy in the Industry of the European Union 
Authors: Iordanis Karavasilis, Vasiliki Vrana, George Karavasilis
Journal: Journal of Risk and Financial Management
Year: 2024

 

Mukhtar Hassan | Arts and Humanities | Best Researcher Award

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Mr. Mukhtar Hassan | Arts and Humanities | Best Researcher Award

Amoud University | Somalia

Author Profile

Orcid

Early Academic Pursuits 📚

Mr. Mukhtar Hassan's educational journey reflects a strong commitment to both academic excellence and professional development. He earned a Master in Research and Data Analysis with honors from Amoud University in 2024, following a Master in Business Administration with honors from Admas University in 2022. His academic foundation is further supported by certifications such as CompTIA A+, Cisco, and Certified Accountant Technician from ACCA. His early education included a B.A. in Business Administration and a Diploma in ICT from the University of Hargeisa. This diverse educational background has equipped him with a comprehensive skill set applicable to both business and technology sectors.

Professional Endeavors 🚀

Mr. Hassan's professional career showcases his expertise in international relief efforts, finance, and logistics. He has excelled in various roles, including his current position as a Lecturer in Data Science and Data Analysis at Amoud University. In this role, he designs and delivers course content, mentors students, and engages in scholarly research. His previous experience includes serving as the Head of the Finance Section at the Ministry of Education and Science, where he managed financial operations, risk assessments, and compliance. His extensive background in finance includes roles with UNICEF and the Ministry of Education & Higher Education, where he managed budgets, financial reporting, and logistics.

Contributions and Research Focus 🔬

Mr. Hassan's research and professional focus are centered on enhancing educational and financial systems through data analysis and management. His work in academia involves developing curricula, conducting research, and advocating for data literacy. His contributions to finance include improving financial reporting processes and optimizing resource management. His research is notable for its practical applications in improving operational efficiency and financial oversight in international relief contexts.

Accolades and Recognition 🏅

Throughout his career, Mr. Hassan has been recognized for his dedication and expertise in both finance and education. His advanced degrees, professional certifications, and leadership roles reflect his commitment to excellence. His role in various workshops and seminars further highlights his expertise and influence in financial reporting, policy frameworks, and youth leadership training.

Impact and Influence 🌍

Mr. Hassan's impact extends across academia, finance, and international relief efforts. His work in data science and financial management has contributed to the development of more effective educational programs and efficient financial operations. His ability to work in multicultural settings and lead capacity-building projects has made a significant difference in the organizations he has been part of, particularly in improving financial practices and educational outcomes.

Legacy and Future Contributions 🌟

Looking forward, Mr. Hassan is poised to continue making substantial contributions to his fields of expertise. His ongoing research, teaching, and professional activities will likely drive further advancements in data science, financial management, and international relief efforts. His legacy will be marked by his ability to integrate advanced data analysis with practical applications, enhancing both educational and financial systems globally.

 

Publications

📄Predicting Student Dropout Rates Using Supervised Machine Learning: Insights from the 2022 National Education Accessibility Survey in Somaliland

Authors: Mukhtar Hassan, Abdisalam Hassan Muse, Saralees Nadarajah
Journal: Applied Sciences
Year: 2024

 

Sofia Karakasidou | Economics, Econometrics and Finance | Best Researcher Award

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Ms. Sofia Karakasidou | Economics, Econometrics and Finance | Best Researcher Award

University of Thessaly | Greece

Author profile

Orcid

🌱 Early Academic Pursuits

Ms. Sofia Karakasidou's academic journey began with a strong foundation in economics. She earned her BSc in Economics from the Aristotle University of Thessaloniki, Greece, between 1990 and 1994. Eager to expand her expertise, she pursued a second BSc in Accounting & Finance at the University of Macedonia, Thessaloniki, Greece, from 1999 to 2004. Her academic endeavors continued as she attained an MSc in "Statistics and Actuarial Financial Mathematics" with a specialization in Actuarial Financial Mathematics from the University of the Aegean, Greece, from 2007 to 2011. Currently, she is a dedicated Ph.D. candidate at the University of Thessaly, Greece, focusing on advanced economic studies.

🏢 Professional Endeavors

Ms. Karakasidou has a rich professional background, having served in various capacities at the Central Market of Thessaloniki S.A. since 1996. She began in the Administrative Department and soon transitioned to the Financial Department, where her expertise in financial management and administrative functions grew. Over the years, she climbed the ranks, eventually becoming the Head of Financial Services and, later, the Head of Administrative Services Department, a position she holds today.

📊 Contributions and Research Focus

Ms. Karakasidou has made significant contributions to the field of economic statistics, particularly in the analysis of time series related to agricultural product prices. Her research, often presented at national and international conferences, delves into the complexities of price dynamics using advanced methods such as Recurrence Quantification Analysis and complex networks. Her published works, including papers in reputable journals like AppliedMath, reflect her deep commitment to understanding and improving financial and economic systems.

🏆 Accolades and Recognition

Throughout her career, Ms. Karakasidou has been recognized for her exceptional work. Her presentations at prominent conferences, such as the Panhellenic Conference on Statistics and the International Conference on Topology, have earned her respect in the academic community. Her ability to translate complex statistical data into actionable insights has been acknowledged by peers and professionals alike.

🌍 Impact and Influence

Ms. Karakasidou's work has had a profound impact on the understanding of economic patterns, particularly in the agricultural sector. Her research has provided valuable insights into the behavior of vegetable prices, offering a clearer picture of market dynamics. This has not only contributed to academic literature but also provided practical implications for economic policy and market regulation.

📚 Legacy and Future Contributions

As Ms. Karakasidou continues her Ph.D. studies and professional work, her legacy in the field of economic statistics is already taking shape. Her future contributions are likely to further enhance the understanding of economic systems, particularly in the area of time series analysis. With her ongoing research and dedication to academic excellence, Ms. Karakasidou is set to make lasting contributions that will influence future studies and practices in economics.

 

Publications

  • 📄 Exploring Price Patterns of Vegetables with Recurrence Quantification Analysis
    Authors: Sofia Karakasidou, Athanasios Fragkou, Loukas Zachilas, Theodoros Karakasidis
    Journal: AppliedMath
    Year: 2024 (4(3), 1012-1046)
  • 📄 Nonlinear Analysis of Time Series of Agricultural Product Prices: Application in the Central Market of Thessaloniki
    Author: Sofia Karakasidou
    Conference: 26th Panhellenic Conference on Statistics, Hellenic Statistical Institute
    Year: 2013
  • 📄 Analysis of Time Series of Greek Vegetable Prices
    Author: Sofia Karakasidou
    Conference: 30th Conference on Applied Economics, University of Thessaly & Hellenic Statistical Institute
    Year: 2013
  • 📄 Vegetable Price Time Series Analysis Using Complex Networks
    Author: Sofia Karakasidou
    Conference: International Conference on Topology, Nafpaktos, Greece
    Year: 2014
  • 📄 Vegetable Price Dynamics Using Recurrence Plot Analysis
    Author: Sofia Karakasidou
    Conference: International Conference on Topology, Nafpaktos, Greece
    Year: 2023