Tung-Shan Liao | Business Strategy and Management | Best Researcher Award

Dr. Tung-Shan Liao | Business Strategy and Management | Best Researcher Award

Yuan Ze Univeristy | Taiwan

Dr. Tung-Shan Liao is a distinguished academic in the field of Business Administration and Technology Management, with a strong reputation for combining theoretical research with practical industry applications. As an Assistant Professor at Yuan Ze University in Taiwan, he has built a career marked by excellence in teaching, research, and leadership. His academic foundation was established through advanced training in business administration and technology management, which allowed him to explore complex issues in strategic management, sustainable development, and knowledge innovation. Prior to his academic appointment, Dr. Liao gained valuable industry experience as a Senior Engineer at Zyxel Corporation, where he developed expertise in technological applications and organizational development. He has also served as a lecturer at a leading Australian business school, demonstrating his capacity to engage international students and contribute to global knowledge exchange. His career further reflects a commitment to academic leadership, as shown in his role as Director of the Office of International Program at Yuan Ze University, where he has promoted cross-border collaborations and student development initiatives. Dr. Liao’s unique combination of research, industry knowledge, and institutional leadership makes him a key contributor to the advancement of management scholarship and professional practice.

Professional Profile

Scopus | ORCID

Education

Dr. Liao’s educational journey reflects a well-rounded integration of business theory and technological expertise, equipping him with the tools to advance both research and professional practice. He completed his doctoral studies in Business Administration at a leading Australian institution, where he focused on strategic management, organizational capabilities, and innovation practices. His Ph.D. research provided a strong academic foundation in areas such as the resource-based view of firms, competitive dynamics, and sustainable growth strategies. Prior to that, he earned a master’s degree in Technology Management from another prominent Australian university, where his studies emphasized the integration of technological advancement with managerial decision-making. This blend of business and technology disciplines enabled him to develop a multidisciplinary approach to problem-solving, positioning him to address the challenges of modern organizations. His academic preparation was rigorous, combining advanced coursework, applied research, and engagement in both theoretical and practical aspects of management. This educational background not only shaped his research interests but also strengthened his ability to connect management theory with real-world technological issues, which continues to guide his contributions as an academic, researcher, and mentor to students aspiring to work at the intersection of management and technology.

Professional Experience

Dr. Liao’s professional experience highlights a rich blend of academic, industry, and leadership roles, all contributing to his recognition as a leading scholar and practitioner. His career began in the technology sector as a Senior Engineer at Zyxel Corporation, where he worked on technological innovation and strategic applications, gaining practical experience in managing complex organizational and technical processes. This role allowed him to understand industry dynamics and apply management concepts in real business contexts. Transitioning into academia, he served as an occasional lecturer at a prominent business school in Australia, where he shared his expertise with international students and contributed to academic discourse. Currently, as an Assistant Professor at Yuan Ze University, he has developed an impressive teaching and research profile, supervising students and contributing to the broader academic community. In addition to his teaching responsibilities, Dr. Liao has taken on significant administrative and leadership duties, including serving as the Director of the Office of International Program at the College of Management. In this role, he has successfully promoted global partnerships, academic exchanges, and institutional collaborations, enhancing the university’s global presence. His professional trajectory reflects his ability to connect academic insights with industry practices, bridging theory and application.

Research Interests

Dr. Liao’s research interests lie at the intersection of strategic management, technology management, and organizational innovation, with a strong emphasis on real-world impact and sustainability. His work in sustainable development explores how businesses can balance growth with social and environmental responsibility, providing frameworks for firms to achieve long-term success while contributing to broader societal goals. He also investigates dynamic capabilities and the resource-based view of firms, focusing on how organizations can develop and leverage internal strengths to remain competitive in changing environments. Another major area of interest is competitive dynamics, where he examines how firms interact within industries, shaping strategies that drive innovation and market positioning. Knowledge management is another central theme in his research, particularly in understanding how organizations capture, share, and utilize knowledge to enhance performance. In addition, Dr. Liao is interested in technology and innovation management, analyzing how technological advancements influence managerial decision-making and organizational strategies. His research contributions not only advance academic theory but also provide valuable insights for practitioners seeking to navigate complex challenges in business and technology. By combining theory with practical application, he continues to make significant contributions to both academic literature and industry practices.

Research Skills

Dr. Liao possesses a diverse set of research skills that enable him to address complex questions in management and technology. His expertise in strategic management research is reflected in his ability to design and implement theoretical frameworks that analyze competitive advantage, organizational capabilities, and innovation pathways. He is skilled in both qualitative and quantitative methodologies, applying case studies, surveys, and statistical modeling to examine organizational performance and technological adoption. His background in technology management has given him the capacity to analyze how emerging technologies affect business strategies, making his work highly relevant to modern organizations. Dr. Liao is also adept at conducting interdisciplinary research, drawing insights from economics, organizational behavior, and information systems to enrich his studies. His experience in securing and managing research grants demonstrates strong project management skills, including proposal development, collaboration with interdisciplinary teams, and dissemination of findings in high-impact venues. Furthermore, his ability to publish in reputable journals and present at international conferences reflects his strong academic writing and communication skills. Through his broad research toolkit, Dr. Liao continues to contribute to advancing knowledge in management and technology, while training students and early-career researchers in rigorous and impactful research practices.

Awards and Honors

Dr. Liao has earned recognition for his contributions to academia, research, and institutional leadership. His scholarly work has been acknowledged through publications in respected journals and presentations at international conferences, positioning him as a researcher with significant influence in business and technology management. At Yuan Ze University, his teaching excellence and commitment to student development have been honored through positive evaluations and institutional recognition. His leadership as Director of the Office of International Program has also been valued, as he has played a key role in advancing international collaborations and enhancing the global visibility of the institution. Dr. Liao’s industry contributions during his time as a Senior Engineer provided him with practical accolades, as he was involved in projects that strengthened technological and organizational outcomes. He has also received acknowledgments for securing competitive research grants and contributing to knowledge creation that bridges academic and practical domains. His involvement in professional organizations and conferences has further earned him respect among peers, fostering networks that expand his impact. Collectively, these awards and honors reflect his dedication to excellence, innovation, and service in both academic and professional communities.

Publication Top Note

  • Semantic Governance Under Climate Stress: A Situational Grounded Model of Local Agricultural Irrigation Coordination in Taiwan — 2025

Conclusion

In conclusion, Dr. Tung-Shan Liao exemplifies the qualities of a distinguished researcher, educator, and leader in the fields of business administration and technology management. His career reflects a balance of theoretical rigor, practical application, and academic leadership. Through his extensive research on sustainable development, dynamic capabilities, knowledge management, and innovation, he has contributed to advancing both scholarly understanding and real-world business practices. His professional experience in industry, combined with his academic achievements, provides him with a unique perspective that bridges the gap between theory and practice. His leadership roles, particularly in fostering international collaborations, highlight his commitment to global academic exchange and institutional development. Recognized for his publications, teaching excellence, and contributions to the academic community, Dr. Liao has established himself as an influential figure in his field. Moving forward, his research and leadership potential suggest continued contributions to addressing global challenges in business and technology. His dedication to education, innovation, and collaboration positions him as a deserving recipient of recognition for his achievements, and he will continue to play a vital role in shaping the future of management research and practice.

Fatemeh Aghagoli | Insight Award | Best Researcher Award

Dr. Fatemeh Aghagoli | Insight Award | Best Researcher Award

Ph.D student at Iran University of Science and Technology, Iran.

Fatemeh Aghagoli is an Iranian researcher and Ph.D. student at Iran University of Science and Technology, focusing on machine learning, image processing, artificial intelligence, cluster computing, and statistical modeling in medical science. She holds a master’s degree in Mathematical Statistics from the same university and a bachelor’s degree in Statistics from the University of Qom, Iran. Fatemeh is proficient in R, MATLAB, SPSS, Python, and Microsoft Office software. Her research includes projects on brain MRI segmentation, tumor detection in mammography images, and entropy-based methods in image segmentation. She is a member of the National Elite Foundation of Iran and has presented her work at international conferences.

Professional Profiles:

Education:

Fatemeh Aghagoli’s educational background includes a Ph.D. program at the Iran University of Science and Technology, where she is studying in the Faculty of Mathematics and Computer Science. She was accepted into the program without a test as a brilliant talent. Additionally, Fatemeh holds a master’s degree in Mathematical Statistics from Iran University of Science and Technology. Her academic journey began with a bachelor’s degree in Statistics from the University of Qom, Iran.

Research Experience:

Fatemeh Aghagoli is a dedicated researcher with a focus on machine learning, image processing, artificial intelligence, cluster computing, and statistical modeling in medical science. She is currently pursuing a Ph.D. at the Iran University of Science and Technology, Faculty of Mathematics and Computer Science, under the supervision of Professor Rahman Farnoosh. Her academic journey began with a bachelor’s degree in Statistics from the University of Qom, Iran, followed by a master’s degree in Mathematical Statistics from Iran University of Science and Technology. Fatemeh’s research has yielded significant contributions, including the development of improved mixtures of factor analyzers based on dynamic co-clustering for the segmentation of brain MRI images. This work was published in Neurocomputing in 2024. She has also devised a novel approach for automatic tumor detection and localization in mammography images using a mixture of factor analyzers based on co-clustering, which was published in Biomedical Signal Processing and Control in 2024. Furthermore, Fatemeh has presented her research on entropy-based nonparametric methods for mammography image segmentation and the use of the k-mean algorithm and mean entropy in MRI images for brain tumor lesion detection at conferences.

Research Interest:

Fatemeh Aghagoli’s research interests include machine learning, image processing, artificial intelligence, cluster computing, and statistical modeling in medical science. She is particularly interested in applying these techniques to improve the analysis and interpretation of medical imaging data, with a focus on areas such as brain MRI segmentation and tumor detection in mammography images. Her work aims to develop innovative solutions that can enhance the diagnosis and treatment of medical conditions.

Skills:

Fatemeh Aghagoli is proficient in a variety of software tools and programming languages, including R, MATLAB, SPSS, Python, and Microsoft Office. Her skills in these areas enable her to effectively analyze data, develop algorithms, and implement solutions in her research.

 

Toufik Mzili | Unlocked Award | Best Researcher Award

Mr. Toufik Mzili | Unlocked Award | Best Researcher Award

Researcher at Meru University of Science and Technology, Kenya

Toufik Mzili is a researcher known for his work in optimization algorithms, particularly in solving complex problems like the traveling salesman problem. He has contributed significantly to the field through the development of novel algorithms such as the Discrete Rat Swarm Optimization (DRSO) algorithm. His research has been published in reputable journals and has garnered attention within the academic community, as evidenced by the number of citations his work has received. Mzili’s expertise lies in applying these optimization techniques to various real-world problems, demonstrating their effectiveness and potential impact in practical applications.

Professional Profiles:

Professional Experience:

Mr. Toufik MZILI is an Assistant Professor in Computer Science at the Faculty of Sciences, Chouaib Doukkali University, Morocco. With a background in software engineering, he has also served as the Software Engineer in chief and Coordination Manager at the General Secretariat of the Ministry of Health and Social Protection in Rabat from 2020 to 2023. Additionally, Mr. MZILI has worked as an IT Consultant at Kertys in Casablanca – Settat, Morocco, where he contributed to dematerializing and modernizing business process management, specializing in GED M-FILES design.

Research Experience:

Mr. Toufik MZILI serves as an Associate Editor for the Journal of Optimization and Artificial Intelligence. He provides assistance and support to several journals, including Decision Making Advances (DMA) Journal, Spectrum of Engineering and Management Sciences (SEMS) Journal, Journal of Soft Computing and Decision Analytics, Systemic Analytics Journal, Journal of Decision Analytics and Intelligent Computing (JDAIC), and Theoretical and Applied Computational Intelligence Journal. Additionally, Mr. MZILI acts as a reviewer and appraiser for prestigious journals such as the Journal of King Saud University – Computer and Information Sciences (Elsevier), Advanced Engineering Informatics (Elsevier), Results in Control and Optimization (Elsevier), Informatics in Medicine Unlocked (Elsevier), Decision Making: Applications in Management and Engineering, Operational Research in Engineering Sciences: Theory and Applications, IET Control Theory & Applications, PeerJ Computer Science, Journal of Physics Conference Series, and Optimization and Data Science in Industrial Engineering.

Skills:

Mr. Toufik MZILI is proficient in a variety of programming technologies, including Java, JEE, C++, PHP, XML, and CSS. He is experienced in using development frameworks such as Springs (MVC, Boot), JSF2, Laravel, VueJs, Livewire, and React. In terms of IDE, Mr. MZILI is skilled in Eclipse, Visual Studio, Telend ETL (BI), and SQL-Server. He also has expertise in working with databases like MySQL, Oracle, SQL Lite, Firebase, and SQL-Server. Additionally, Mr. MZILI is knowledgeable in analysis and design methods such as Merise and UML, and he has experience in mobile programming with React Native.

Publications:

  1. A novel discrete bat algorithm for solving the travelling salesman problem
    • Y Saji, ME Riffi
    • Neural Computing and Applications, 27, 1853-1866, 2016, 117 citations
  2. Cat swarm optimization for solving the open shop scheduling problem
    • A Bouzidi, ME Riffi, M Barkatou
    • Journal of Industrial Engineering International, 15 (2), 367-378, 2019, 38 citations
  3. Incorporating a modified uniform crossover and 2-exchange neighborhood mechanism in a discrete bat algorithm to solve the quadratic assignment problem
    • ME Riffi, Y Saji, M Barkatou
    • Egyptian Informatics Journal, 18 (3), 221-232, 2017, 36 citations
  4. Cat swarm optimization to solve job shop scheduling problem
    • A Bouzidi, ME Riffi
    • 2014 Third IEEE International Colloquium in Information Science and Technology, 35, 2014
  5. Discrete cat swarm optimization to resolve the traveling salesman problem
    • A Bouzidi, ME Riffi
    • International Journal, 3 (9), 33, 2013
  6. Discrete bat-inspired algorithm for travelling salesman problem
    • Y Saji, ME Riffi, B Ahiod
    • 2014 Second World Conference on Complex Systems (WCCS), 28-31, 2014
  7. ADAPTATION OF THE HARMONY SEARCH ALGORITHM TO SOLVE THE TRAVELLING SALESMAN PROBLEM
    • M Bouzidi, ME Riffi
    • Journal of Theoretical & Applied Information Technology, 62 (1), 30, 2014
  8. A novel discrete Rat swarm optimization (DRSO) algorithm for solving the traveling salesman problem
    • T Mzili, ME Riffi, I Mzili, G Dhiman
    • Decision making: applications in management and engineering, 5 (2), 287-299, 2022, 20 citations
  9. Discrete cuttlefish optimization algorithm to solve the travelling salesman problem
    • ME Riffi, M Bouzidi
    • 2015 Third World Conference on Complex Systems (WCCS), 1-6, 2015, 18 citations
  10. Discrete swallow swarm optimization algorithm for travelling salesman problem
    • S Bouzidi, ME Riffi
    • Proceedings of the 2017 International Conference on Smart Digital Systems, 17, 2017