Isaac Elishakoff | Data-informed Decision Making | Best Researcher Award

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Prof. Isaac Elishakoff l Data-informed Decision Making | Best Researcher Award

Florida Atlantic University, United States

Author Profiles

Scopus

Google Scholar

Early Academic Pursuits 🎓

Prof. Isaac Elishakoff’s academic journey began in his birthplace, Kutaisi, Republic of Georgia. He attended the prestigious Sukhumi First Georgian School named after Shota Rustaveli (1951-1962). He later earned his BSc and MSc degrees in 1968 from the Department of Dynamics and Strength of Machines at Moscow Power Engineering Institute and State University, Russia. His academic journey culminated in a PhD in 1971, where he worked under the mentorship of Academician V. V. Bolotin, a key figure in the field of dynamics and strength of materials.

Professional Endeavors 🌍

Prof. Elishakoff’s professional trajectory includes distinguished positions and international collaborations. Since 1989, he has been a Professor in the Department of Ocean & Mechanical Engineering at Florida Atlantic University. He has held honorific appointments at renowned institutions, such as the Visiting Distinguished Fellow at the University of Southampton and the Theodore von Kármán Fellow at RWTH-Aachen University. His recognition as a Fellow of the Royal Academy of Engineering in 2021 is a testament to his exceptional contributions to engineering research and education.

Contributions and Research Focus 🔬

Prof. Elishakoff’s research primarily focuses on applied mechanics, structural reliability, and the optimization of mechanical systems. His groundbreaking work spans from bio-inspired optimization to structural flexibility for aquatic propulsion, to contributions in uncertainty quantification and optimization methods. As a Co-PI in NSF-funded projects, he has actively participated in large-scale research efforts aimed at improving design processes in engineering education and innovation. His work on engineering optimization and structural reliability has had a significant impact on the development of modern mechanical systems, particularly in uncertain environments.

Impact and Influence 🌐

Prof. Elishakoff’s work has left an indelible mark on the field of mechanical engineering. His contributions to the theory of machine design, structural analysis, and vibration mechanics have been transformative. Through his numerous articles, including collaborations with global scholars, he has significantly advanced our understanding of system dynamics, optimization, and reliability in engineering applications. His academic influence extends beyond research, as his teaching methodologies foster active student engagement and practical problem-solving skills.

Academic Cites 📚

Prof. Elishakoff’s research has been cited extensively, solidifying his position as a leading figure in applied mechanics. His published articles, especially in journals like the International Journal of Mechanical Engineering Education and the Journal of Mechanical Engineering Education, demonstrate the impact of his work on shaping educational methodologies and the application of engineering principles. His extensive citation history is a testament to the high regard in which he is held by his peers in academia and industry alike.

Technical Skills 🛠️

Prof. Elishakoff is highly skilled in various areas of mechanical engineering, including system dynamics, mechanical vibrations, and structural analysis. His expertise in the optimization of engineering systems, particularly in the context of uncertainty and bio-inspired solutions, has positioned him as a thought leader in applied mechanics. Additionally, his contributions to machine design, vibration of beams, and columns have enriched the teaching and research landscape of engineering disciplines.

Teaching Experience 📚

Prof. Elishakoff’s commitment to education is evident in his role as an educator at Florida Atlantic University, where he teaches courses such as Machine Design, Mechanical Vibrations, and System Dynamics. His approach to teaching emphasizes individualized learning experiences, providing each student with personalized projects to foster engagement and critical thinking. He also promotes student success through flexible testing opportunities, resulting in minimal failure rates in his courses. Prof. Elishakoff has written numerous educational articles aimed at improving teaching practices, further illustrating his dedication to advancing engineering education.

Legacy and Future Contributions 🔮

Prof. Elishakoff’s legacy as a scholar and educator is profound. He has influenced generations of students and professionals, leaving behind a body of research that continues to inform the field of mechanical engineering. His ongoing contributions, such as his involvement in NSF-funded projects and his role in the development of cutting-edge technologies, will shape the future of engineering education and practice. As he continues to collaborate with global institutions and mentor future scholars, his work will undoubtedly continue to drive innovation in engineering research and design.

Prizes and Honors 🏆

Prof. Elishakoff’s excellence in both research and teaching has been recognized globally. Notable honors include the William B. Johnson Inter-Professional Founders Award for his lifetime achievements in applied mechanics, the Blaise Pascal Medal from the European Academy of Sciences in 2021, and the Theodore von Kármán Fellowship at the University of Aachen in 2024. These accolades underscore the breadth of his influence and the respect he commands within the international engineering community.

Administrative and Leadership Roles 📋

Prof. Elishakoff has also made significant contributions in administrative roles within the academic community. His leadership positions include membership on various university committees, such as the University Committee on Statistics and the Departmental Personnel Committee. Through these roles, he has played an integral part in shaping the policies and development of academic and research programs at Florida Atlantic University.

International Conferences 🌍

Prof. Elishakoff has been a key speaker at numerous international conferences, where he has shared his expertise and research findings. Notable appearances include plenary lectures at the UNCECOMP 2019 in Greece and keynote addresses at COMPDYN 2019 in Greece, where he discussed the latest advancements in structural dynamics and nanotechnology. His presence at such events highlights his status as a leading expert in his field, and his contributions continue to influence the global engineering community.

Top Noted Publications 📖

How accurate are the reliability assessments conducted by the finite element method?

Authors: Santoro, R., Elishakoff, I.
Journal: Archive of Applied Mechanics
Year: 2025, 95(1), 9

Extension of dual equivalent linearization to analysis of deterministic dynamic systems: Part 2—multi-parameter equivalent linearization

Authors: Linh, N.N., Anh, N.T., Thang, N.C., Anh, N.D., Elishakoff, I.
Journal: Nonlinear Dynamics
Year: 2024, 112(20), pp. 18001–18030

Multifaceted Uncertainty Quantification

Author: Elishakoff, I.
Publisher: Multifaceted Uncertainty Quantification
Year: 2024, pp. 1–368

The history and the current state of the art related to structures under stress and corrosion

Authors: Fridman, M.M., Elishakoff, I., Ribakov, Y.
Journal: Mechanics Research Communications
Year: 2024, 140, 104320

Additional Natural Frequency of the Beam Carrying a Spring-Mass System: Lost and Found

Authors: Zawadzki, M., Elishakoff, I.
Journal: Journal of Computational and Nonlinear Dynamics
Year: 2024, 19(9)

An interesting project in the “strength of materials” or “machine design” courses

Authors: Elishakoff, I., Eisenberger, M., Mercer, A.
Journal: Optimization and Engineering
Year: 2024, 25(3), pp. 1559–1570

Jingteng Liu | Business Analytics | Best Researcher Award

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Mr. Jingteng Liu | Business Analytics | Best Researcher Award

ESADE Business School, Spain

Author Profile

Google Scholar

🎓 Early Academic Pursuits

Mr. Jingteng Liu’s academic journey began at Northwestern Polytechnical University, where he studied Software Engineering. After completing two years, he transferred to Arizona State University (ASU), where he pursued a Bachelor of Science in Computational Mathematical Sciences from 2017 to 2022. Alongside this, he obtained a Certification in Applied Business Data Analytics (2018-2022). During this period, Mr. Liu laid the foundation for his academic success by immersing himself in subjects that bridged computer science, mathematics, and business analytics.

💼 Professional Endeavors

Mr. Liu’s career has been marked by various leadership roles, with a strong focus on data analysis, machine learning, and business strategy. As Co-Founder of Hans & Associates LLC since May 2017, he formulated and executed comprehensive business strategies that helped transition the start-up into a stable organization. This experience helped him hone his strategic thinking, resource optimization, and market analysis skills. His involvement with Amazon Web Services (AWS) as a Professional Service Intern in 2020 allowed him to work on advanced machine learning models, particularly enhancing predictive analysis and using optimization algorithms. His professional journey has provided him with a wealth of experience, particularly in data-driven decision-making and strategic innovation.

📚 Contributions and Research Focus

Throughout his academic and professional career, Mr. Liu has contributed significantly to data-driven research. Notably, his research as a Barrett College Fellow at ASU in 2019-2022 focused on understanding consumer behavior and the preferences of hydrogen vehicle owners in California. He applied multinomial logistic regression and null hypothesis significance testing to evaluate the factors influencing gas station choices. Mr. Liu also contributed as a Research Assistant at ASU, co-authoring a published paper on mathematical modeling for cancer treatment responses. His research focus has consistently centered on the intersection of data analytics, machine learning, and their applications in real-world challenges.

🌍 Impact and Influence

Mr. Liu’s diverse experiences in data analytics, machine learning, and business strategy have had a significant impact on both academic and professional fields. His work with Amazon on developing predictive models and enhancing customer trend analysis reflects a deep understanding of how technology can transform business outcomes. Additionally, his entrepreneurial work in founding Hans & Associates and MiStraws demonstrates his ability to leverage data-driven insights for sustainable business growth. His contributions have influenced the development of strategic innovation, particularly in the use of AI to drive market forecasting and customer behavior analysis.

📑 Academic Citations

One of Mr. Liu’s key academic achievements was his co-authorship of a published paper titled “Clinical Data Validated Mathematical Model for Intermittent Abiraterone Response in Castration-Resistant Prostate Cancer Patients”. The research, published by SIAM Undergraduate Research Online, highlights his ability to apply complex mathematical models in the context of healthcare and medicine, contributing to the field of computational oncology. This paper demonstrates his expertise in applied mathematics and its real-world applications in clinical data analysis.

💻 Technical Skills

Mr. Liu possesses an extensive range of technical skills that span across programming languages, data analysis tools, and machine learning frameworks. Some of his core skills include proficiency in Python, SQL, and R, as well as expertise in machine learning algorithms and models such as BERT, Amazon Comprehend, and optimization techniques. He is also well-versed in Excel, Tableau, and Power BI, enabling him to deliver actionable insights from large datasets. These technical skills have been pivotal in his roles, particularly in optimizing business processes and enhancing predictive capabilities.

👨‍🏫 Teaching Experience

While Mr. Liu has not held formal teaching positions, his experiences as a research assistant and fellow at ASU have allowed him to contribute significantly to the academic community. His work on data analysis and research methodologies would have provided valuable mentorship to students and colleagues alike. His ability to communicate complex topics like statistical modeling and machine learning reflects his potential to make a meaningful impact in academia as a future educator.

🌟 Legacy and Future Contributions

Looking forward, Mr. Liu’s trajectory indicates his potential to become a key thought leader in the areas of AI-driven business analytics and strategic innovation. His multidisciplinary expertise in data science, machine learning, and business strategy positions him well to drive cutting-edge innovation in industries ranging from technology to healthcare. He envisions contributing to the advancement of AI and analytics solutions, developing models that offer enhanced business intelligence, operational efficiency, and predictive capabilities. His future contributions are poised to leave a lasting legacy, particularly in fostering sustainable business growth through data-driven decision-making and AI optimization.

Top Noted Publications 📖

  • Hydrogen Fuel Cell Vehicle Adopters Geographically Evaluate a Network of Refueling Stations in California
    • Authors: S Kelley, A Krafft, M Kuby, O Lopez, R Stotts, J Liu
    • Journal: Journal of Transport Geography
    • Year: 2020
  • Clinical Data Validated Mathematical Model for Intermittent Abiraterone Response in Castration-Resistant Prostate Cancer Patients
    • Authors: J Bennett, X Hu, K Gund, J Liu, A Porter
    • Journal: SIAM Undergraduate Research Online
    • Year: 2021
  • Extreme Heat Effects on Electric Vehicle Energy Utilization and Driving Range
    • Authors: NC Parker, M Kuby, J Liu, EB Stechel
    • Journal: Available at SSRN
    • Year: 2024

Xueliang Han | Business Intelligence and Analytics | Best Researcher Award

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Assoc Prof Dr. Xueliang Han | Business Intelligence and Analytics | Best Researcher Award

Henan University of Economics and Law, China

Author Profile

Scopus

Early Academic Pursuits 🎓

Dr. Xueliang Han’s educational journey began at Henan University of Finance and Economics, where he earned his Bachelor’s degree in Economics from the School of International Economics and Trade in 2009. He then pursued a Master of Business Administration (MBA) at Jinan University School of Management, completing his degree in 2012. This solid foundation laid the groundwork for his PhD in Management from the same university in 2016. Dr. Han’s academic training has shaped his deep understanding of organizational behavior, strategy, and the complexities of family business management.

Professional Endeavors 💼

Dr. Han’s professional career has been marked by a blend of academic excellence and practical experience. Since 2016, he has been an Associate Professor at the School of Business Administration, Henan University of Finance and Economics. His role involves not only teaching but also guiding postgraduate students as a tutor. He has contributed significantly to various national and provincial-level research projects, which underscores his engagement with both academic research and industry trends. Before his academic career, Dr. Han worked at China Life Insurance Co., Ltd. from 2012 to 2013, gaining valuable practical insights into business management.

Contributions and Research Focus 📚

Dr. Han’s research interests revolve around organizational strategy, organizational behavior, and family business theory. He has conducted several groundbreaking studies in these areas, particularly on the dynamics of family businesses in China. His work bridges the gap between theory and practice, offering insights into how organizations, particularly family-run enterprises, can thrive in the competitive business environment. His research has been published in prestigious journals such as Management Review, Psychology Science, and Foreign Economics and Management, highlighting his reputation as a thought leader in his field.

Impact and Influence 🌍

Dr. Han has made a significant impact through his academic contributions, winning numerous awards. His paper received the Mao Lixiang Outstanding Paper Award for Family Business Research and the Annual Outstanding Paper Award from the Management Thought and Business Ethics Professional Committee of the China Management Modernization Research Association. Additionally, his monograph and co-published works have been recognized, further solidifying his reputation in academic circles. His involvement in consulting, especially on industrial transformation and technology innovation, shows his broader influence beyond academia.

Academic Cites 📑

Dr. Han’s research has garnered substantial attention in the academic community. His publications in high-quality journals such as Management Review and Foreign Economics and Management have earned him citations from peers worldwide. This reflects the importance of his work, particularly in the domains of organizational strategy and family business studies. His contributions to the field have helped shape how these areas are understood and applied, both in China and internationally.

Technical Skills 🖥️

Dr. Han possesses a diverse set of technical skills essential for his academic and research endeavors. He has led national-level projects, participated in social and natural science research, and collaborated with various academic and governmental bodies. His knowledge extends into business intelligence, data management, and technological innovations in management systems, making him well-versed in the evolving landscape of business technology.

Teaching Experience 📚👨‍🏫

As a seasoned educator, Dr. Han has taught a variety of courses at Henan University of Finance and Economics. His courses include “Organizational Theory and Organizational Behavior,” “Enterprise Strategic Management,” and “Entrepreneurship and Wealth Inheritance.” He is known for integrating cutting-edge research with practical applications, providing his students with a comprehensive understanding of management theory and its real-world implications. His teaching methods are praised for being interactive, research-oriented, and deeply grounded in both theory and practice.

Legacy and Future Contributions 🔮

Dr. Han’s legacy as an educator and researcher is evident in his awards and the lasting impact of his work. His future contributions are expected to continue shaping the fields of organizational behavior and family business research. He remains committed to advancing knowledge through his academic pursuits and mentoring the next generation of business leaders. With ongoing involvement in key research projects and educational initiatives, Dr. Han’s work will likely influence future management practices in both academic and corporate environments.

Top Noted Publications 📖

 Mitigate cross-market competition caused by the risk of uncertainty and improve firm performance through business intelligence
  • Authors: Han, X., Lin, T.X., Wang, X.
  • Journal: Heliyon
  • Year: 2024
BI&A capability: A discussion on the mechanism of enterprise’s performance improvement
  • Authors: Han, X., Wu, H.
  • Conference: ACM International Conference Proceeding Series
  • Year: 2019