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

Ying-Chih Sun | Business Intelligence and Analytics | Best Researcher Award

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Assist Prof Dr. Ying-Chih Sun | Business Intelligence and Analytics | Best Researcher Award

Assist Prof Dr. Ying-Chih Sun at East Central University, United States

👨‍🎓Professional Profiles

📚 Summary

Dr. Ying-Chih Sun is an Assistant Professor of Business Administration – Information Technology Management at East Central University. With a Ph.D. in Information Systems Engineering and Management and a strong academic background in economics, data analytics, and IT management, his research focuses on AI applications in healthcare, telehealth, and supply chain management. He is passionate about integrating business analytics with IT solutions to improve operational efficiencies across industries.

🎓 Education

Dr. Sun holds a Ph.D. in Information Systems Engineering and Management (ISEM) from Harrisburg University of Science and Technology (2023), where he graduated with a perfect 4.0 GPA. He also earned M.S. degrees in Economics from the University at Buffalo (2018) and Texas A&M University (2010), and an M.B.A. in Applied Economics (Summa Cum Laude) from National Taiwan Ocean University (2005). He completed his undergraduate studies in International Trade at Tamkang University (2003).

💼 Professional Experience

Dr. Sun is currently serving as an Assistant Professor at East Central University, teaching courses in Business Economics, Data Analytics, and Cloud Management. Before this, he was an Assistant Professor in Residence at Bradley University (2023-2024), where he contributed to research and teaching in business analytics. He also worked as a Research Assistant at Harrisburg University (2019-2023), conducting research on telehealth and healthcare delivery. Previously, he served as an IT Research Data Analyst at SUNY Buffalo and held roles at the Institute of Economics, Academia Sinica and Tri-Service General Hospital in Taiwan.

📝 Academic Publications & Conferences

Dr. Sun has presented at major conferences like the DSI Conference 2024, AMCIS 2024, and MWAIS 2024. His research papers focus on a range of topics, including telehealth efficiency, AI in healthcare, digital reputation in business schools, and supply chain optimization. His recent work on “Evaluating Telehealth Efficiency” and “Enhancing Judicial Decision-Making with AI” exemplifies his interdisciplinary approach to solving complex business and healthcare challenges.

💻 Technical Skills

Dr. Sun possesses advanced proficiency in data analytics tools like SQL, STATA, and Excel for statistical modeling and large data analysis. He is also familiar with Python and has hands-on experience in cloud management and telehealth technology. His technical skills enable him to approach research from both an analytical and technological perspective, focusing on improving efficiency in healthcare and business operations.

👨‍🏫 Teaching Experience

Dr. Sun has extensive teaching experience, having taught courses at East Central University (2024-present) in Business Economics, Data Analytics, and Cloud Management. He previously taught at Bradley University (2023-2024), covering Business Analytics and Business Analytics Software. Additionally, during his time at SUNY at Buffalo (2015-2018), he served as a Grader and Teaching Assistant for various econometrics courses and contributed to graduate-level teaching in Computational Econometrics.

🔬 Research Interests

Dr. Sun’s primary research interests lie at the intersection of AI, telehealth, and business analytics. He explores how data-driven decision-making can enhance healthcare delivery and operational efficiency, with a focus on telemedicine applications and the use of machine learning for healthcare and business management. His work on optimizing AI investments and supply chain management has important implications for improving cost-effectiveness and decision-making in businesses and healthcare systems.

 

📖 Top Noted Publications

A stochastic production frontier model for evaluating the performance efficiency of artificial intelligence investment worldwide

Authors: Sun, Y.-C., Cosgun, O., Sharman, R., Mulgund, P., Delen, D.
Journal: Decision Analytics Journal
Year: 2024

The impact of policy and technology infrastructure on telehealth utilization

Authors: Sun, Y.-C., Cosgun, O., Sharman, R.
Journal: Health Services Management Research
Year: 2024

The Effect of Varying User Risk Levels on Perceived Social Presence in Mental Health Chatbots

Authors: Thimmanayakanapalya, S.S., Singh, R., Mulgund, P., Sun, Y.-C., Sharman, R.
Conference: 29th Annual Americas Conference on Information Systems (AMCIS 2023)
Year: 2023

Paraskumar Patel | Business Intelligence and Analytics | Editorial Board Member

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Mr. Paraskumar Patel | Business Intelligence and Analytics | Editorial Board Member

Mr. Paraskumar Patel at Fractal.ai – United States

👨‍🎓 Profiles

🌟 Early Academic Pursuits

Paraskumar Patel’s academic journey is marked by a commitment to blending engineering and technology. He started with a Bachelor of Technology in Chemical Engineering from Dharmsinh Desai University in India, where he developed a strong foundation in engineering principles. His quest for deeper knowledge led him to Carnegie Mellon University, where he earned a Master of Chemical Engineering. This advanced degree allowed Patel to explore complex engineering systems and applications. Recognizing the importance of data technology, he pursued a Master of Science in Information Technology from the University of the Cumberlands in the USA. This educational path not only enhanced his technical skills but also equipped him to integrate chemical engineering with cutting-edge data analytics.

💼 Professional Endeavors

Paraskumar Patel’s professional journey is highlighted by his impactful roles across various industries. As a Senior Data Engineer at Fractal.ai, Patel has made significant strides in data migration, report optimization, and advanced analytics. His work with high-profile clients such as USAA, Suncor, Humana, Microsoft, and PepsiCo showcases his expertise in operationalizing complex models, migrating reports to Power BI, and enhancing data retrieval processes. Patel’s ability to streamline data processes and improve report efficiency has been instrumental in helping organizations make data-driven decisions and enhance operational performance.

📝 Contributions and Research Focus

Patel’s scholarly contributions are extensive and influential. His research addresses critical areas in data visualization, engineering challenges, and privacy-preserving analytics techniques. With publications in prestigious journals like the International Journal of Science and Research and the European Journal of Advances in Engineering and Technology, Patel has explored topics such as integrating privacy-preserving techniques, balancing creativity with compliance, and optimizing Power BI functionalities. His work not only contributes to the academic field but also provides practical solutions to complex data challenges, reflecting his thought leadership and commitment to advancing data engineering practices.

🏆 Accolades and Recognition

Paraskumar Patel’s work has earned him notable recognition within the data engineering community. His innovative approaches to optimizing data retrieval and enhancing report efficiency have been praised by clients and peers. Patel’s research publications are widely cited, underscoring the impact of his contributions on both academic and professional circles. His ability to bridge technical expertise with practical solutions has established him as a leading figure in data engineering, garnering accolades for his problem-solving skills and dedication to advancing the field.

🌍 Impact and Influence

Patel’s influence on the field of data engineering is profound. His work has not only improved data processes and access for various organizations but also set new standards for data-driven decision-making. By addressing complex data challenges and integrating advanced technologies, Patel has driven positive change across multiple sectors. His contributions have shaped how organizations approach data analytics, highlighting the importance of combining technical expertise with innovative solutions to enhance operational efficiencies and data accessibility.

🔮 Legacy and Future Contributions

As Paraskumar Patel continues to advance his career, his legacy in data engineering is defined by his innovative spirit and thought leadership. His contributions have left a lasting impact on the organizations he has worked with, improving their data processes and overall performance. Looking ahead, Patel’s focus on emerging challenges and his continued research efforts will likely drive further advancements in the field. His ability to merge engineering expertise with cutting-edge data analytics positions him as a key figure in shaping the future of data engineering, inspiring future generations of data professionals with his commitment to innovation and excellence.

📖 Publications

Salahuddin Mahmud – Data Interpretation – Global Data Innovation Recognition Award 

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Assoc Prof Dr Salahuddin Mahmud - Data Interpretation - Global Data Innovation Recognition Award 

Salahuddin Mahmud - Bangladesh Shishu Hospital & Institute - Bangladesh 

Author Profile

Early Academic Pursuits

Assoc Prof DR. Salahuddin Mahmud began his academic journey with a solid foundation in science, completing his SSC in 1990 and HSC in 1992 from the Education Board, Dhaka, with a focus on the science stream. Following this, he pursued his MBBS from Dhaka University, specializing in Medicine, Surgery, and Gynecology, which he completed in 2000. His commitment to pediatric care led him to achieve an MD in Pediatrics from BSMMU in 2010.

Professional Endeavors

Over the years,  Assoc Prof Dr. Mahmud has held various significant roles at the Bangladesh Shishu Hospital & Institute (BSHI). He started as a Resident Medical Officer in Pediatric Medicine in 2004 and transitioned to the Department of Pediatric Gastroenterology, Hepatology & Nutrition by 2011. Progressing through the ranks, he has served as Assistant Professor and currently holds the position of Associate Professor in the same department.

Additionally, Assoc Prof Dr. Mahmud plays crucial supervisory and academic roles, supervising MD (Pediatrics) residency courses and co-guiding MD thesis projects, enhancing the quality of pediatric care and education in Bangladesh.

Contributions and Research Focus

Assoc Prof Dr. Mahmud's contributions to pediatric gastroenterology, hepatology, and nutrition are commendable. His participation in workshops and conferences like the 9th ISPGHAN Conference in India and the Motility Workshop in New Delhi underscores his commitment to advancing the field. His research and expertise cover areas such as pediatric GI & liver issues, metabolic liver diseases, and enteral & parenteral nutrition, focusing on improving diagnostic and treatment modalities.

Accolades and Recognition

His active involvement and expertise have garnered recognition, both nationally and internationally. He is a life member of the Bangladesh Pediatric Association and holds foreign memberships in prestigious organizations like ISPGHAN, NASPGHAN, and APPSPGHAN, highlighting his standing in the global pediatric community.

Impact and Influence

Assoc Prof Dr. Mahmud's impact extends beyond his clinical and academic roles. As an executive member of BASPGAN, he influences policy and practice in pediatric gastroenterology, hepatology, and nutrition in Bangladesh. His research and teachings shape future pediatricians, ensuring that the next generation is equipped with cutting-edge knowledge and skills.

Legacy and Future Contributions

With a rich legacy of academic achievements, professional endeavors, and contributions to pediatric care and research, Assoc Prof Dr. Salahuddin Mahmud continues to inspire and lead. His future contributions are anticipated to further advance pediatric gastroenterology and hepatology in Bangladesh and beyond. As an associate professor and respected figure in his field, he remains committed to mentoring future professionals, conducting groundbreaking research, and elevating standards of care for pediatric patients.

Notable Publications