Abraham Chian – Predictive Analytics – Best Researcher Award 

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Prof Dr. Abraham Chian - Predictive Analytics - Best Researcher Award 

University of Adelaide - Australia

Author Profile

Early Academic Pursuits

Prof Dr. Abraham Chian-Long Chian's academic journey reflects a diverse and interdisciplinary pursuit of knowledge spanning applied mathematics, theoretical physics, economics, and electrical engineering. His foundational education includes a B.Sc. with Distinction in Electrical Engineering and Space Science from Cornell University in 1973. This early exposure laid the groundwork for his later explorations in space physics and astrophysical flows. Following his undergraduate studies, Chian pursued dual Ph.D. degrees, demonstrating his commitment to both the theoretical and applied aspects of science. He obtained a Ph.D. in Applied Mathematics and Theoretical Physics from the University of Cambridge in 1977, enriching his understanding of complex systems and nonlinear dynamics. Later, he earned a Ph.D. in Economics from the University of Adelaide in 2005, showcasing his versatility and interdisciplinary approach to research.

Professional Endeavors

Prof Dr. Chian's professional journey is marked by an impressive array of roles and affiliations across renowned institutions worldwide. Notably, his tenure as a Full Professor and Senior Research Scientist at the National Institute for Space Research (INPE), Brazil, since 1979 underscores his enduring commitment to space physics and plasma dynamics. Additionally, his honorary adjunct professorship at the University of Adelaide and various visiting professorships in Japan, Thailand, and the USA exemplify his global impact and collaboration in advancing scientific knowledge.

Contributions and Research Focus

Prof Dr. Chian's research interests encompass a broad spectrum of topics, ranging from coherent structures and turbulence to economic dynamics. His pioneering work in understanding astrophysical and geophysical flows has significantly contributed to the fields of space physics and plasma dynamics. Through his investigations into nonlinear dynamics and complex systems, Chian has shed light on fundamental processes underlying space environment turbulence, impacting both theoretical frameworks and practical applications.

Accolades and Recognition

Throughout his illustrious career, Chian has received numerous accolades and prestigious fellowships, underscoring his outstanding contributions to academia. Notable awards include the Marie Curie International Incoming Fellowship, the Guggenheim Fellowship, and the Senior 1A Fellowship from the National Research Council (CNPq), Brazil. These honors not only acknowledge Chian's scholarly achievements but also highlight the international recognition of his research endeavors.

Impact and Influence

Prof Dr. Chian's influence extends beyond his individual research contributions, encompassing leadership roles in international scientific organizations and educational initiatives. As the founder of the World Institute for Space Environment Research (WISER), he has fostered collaboration among leading space physicists worldwide, facilitating knowledge exchange and capacity-building initiatives. Moreover, his extensive involvement in conference organization, editorial responsibilities, and public outreach activities underscores his commitment to scientific dissemination and education.

Legacy and Future Contributions

Prof Dr. Abraham Chian-Long Chian's legacy lies in his multifaceted contributions to space physics, plasma dynamics, and interdisciplinary research. His pioneering investigations have not only advanced our understanding of complex systems but also inspired future generations of scientists to explore the frontiers of space science. As he continues to push the boundaries of knowledge through his research and educational endeavors, Chian's legacy will endure as a beacon of excellence and innovation in the field of astrophysical and geophysical sciences.

Citations

A total of 2253 citations for his publications, demonstrating the impact and recognition of her research within the academic community.

  • Citations   2253
  • h-index       25
  • i10-index    63

Notable Publication

 

 

Ru Angelie Edrada-Ebel – Predictive Analytics – Best Researcher Award

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Dr. Ru Angelie Edrada-Ebel - Predictive Analytics - Best Researcher Award 

University of Strathclyde - United Kingdom

Author Profile

Early Academic Pursuits

Dr. RuAngelie Edrada-Ebel embarked on her academic journey with a Master of Science degree in Pharmacy from the University of the Philippines Manila in 1992. During this time, her thesis work focused on the biological and chemical investigation of the colored constituents of Kokoona ochracea. Following her master's degree, she pursued a Doctorate degree in Pharmaceutical Biology at Julius-Maximilians-Universität Würzburg, Germany, from 1994 to 1998. Her doctoral dissertation, conducted under the guidance of Prof. Dr. Peter Proksch, centered on the isolation and structure elucidation of bioactive secondary metabolites from Philippine marine sponges and soft corals. Her academic achievements during this period culminated in receiving the degree of Dr. rer. Nat with Magna cum Laude honors in June 1998.

Professional Endeavors

Dr. Edrada-Ebel's professional journey has been marked by a rich tapestry of experiences spanning various academic and research positions. She held positions such as Research Fellow at the University of California Santa Cruz and the University of Oklahoma in the early years of her career. Her expertise in pharmaceutical analysis led her to become a Lecturer in Pharmaceutical Analysis at the Strathclyde Institute of Pharmacy and Biomedical Sciences (SIPBS) in 2009, progressing to Senior Lecturer (Associate Professor) in 2015.

Contributions and Research Focus

As a highly qualified expert in marine natural product research, Dr. Edrada-Ebel has made significant contributions to the field. Her research has focused on the systematic discovery and production of biologically active natural products for novel drugs, with particular emphasis on metabolomics-guided isolation work. Through her leadership, she established the Natural Products Metabolomic group at SIPBS in 2011, pioneering innovative approaches in natural product research.

Accolades and Recognition

Dr. Edrada-Ebel's contributions to the field have been widely recognized, with numerous accolades and awards. Her work on innovating metabolomics for natural product discovery was honored as the "most innovative paper" published in Planta Medica in 2017. She has also received prestigious awards at international meetings and conferences, showcasing her excellence in research and leadership.

Impact and Influence

Dr. Edrada-Ebel's impact extends beyond academia, with her research generating significant income for SIPBS through successful grant funding and industry collaborations. Her multidisciplinary research approach has led to high-impact publications and international collaborations, enriching the global scientific community.

Legacy and Future Contributions

Dr. Edrada-Ebel's legacy lies in her pioneering research, mentorship of students and fellows, and strategic leadership in marine natural product research. Her future contributions are poised to further advance the frontiers of natural product discovery, leveraging international collaborations and innovative methodologies to address pressing biomedical challenges.

Through her relentless pursuit of scientific excellence, Dr. RuAngelie Edrada-Ebel continues to inspire the next generation of natural product scientists and shape the landscape of marine biotechnology research.

Notable Publication

 

Nick Eleftheroglou – Predictive Analytics Award – Best Researcher 

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Assist Prof Dr. Nick Eleftheroglou - Predictive Analytics Award - Best Researcher 

Delft University of Technology/ Faculty of Aerospace Engineering - Netherlands

Author Profile

Early Academic Pursuits

Assist Prof Dr. N. Eleftheroglou began their academic journey with a Diploma in Mechanical Engineering and Aeronautics from the University of Patras, where they graduated Cum Laude. This foundation laid the groundwork for their pursuit of higher education, leading to a Doctor of Philosophy degree, earned with distinction from the Faculty of Aerospace Engineering at Delft University of Technology. Their early academic pursuits reflect a strong commitment to engineering principles and aeronautical sciences, setting the stage for their groundbreaking research in the field of Sustainable AI for Diagnosis, Prognosis, and Health Management.

Professional Endeavors

Following their academic achievements, Assist Prof Dr. Eleftheroglou delved into various professional roles, including a stint as a Business Consultant at ORTEC and later as a Postdoctoral Researcher at Delft University of Technology. These experiences allowed them to bridge the gap between academia and industry, gaining practical insights into real-world applications of their research. Currently, as an Assistant Professor at Delft University of Technology, they continue to shape the future of engineering education and research.

Contributions and Research Focus On Predictive Analytics Award

Assist Prof Dr. Eleftheroglou's research is pioneering in the field of Sustainable AI for Diagnosis, Prognosis, and Health Management of structures and engineering systems. Their focus on developing novel physics-informed AI models highlights a dedication to advancing both the accuracy and environmental sustainability of AI applications. Their expertise spans machine learning models, stochastic processes, Bayesian statistics, and health/condition monitoring techniques, all aimed at improving the performance and longevity of critical engineering infrastructure.

Accolades and Recognition

The academic and professional community has recognized  Assist Prof Dr. Eleftheroglou's contributions through various awards and scholarships. Their excellence in research has been acknowledged with prestigious honors such as the Euro bank EFG Award and scholarships from the National Foundation for outstanding performance. Additionally, they have received research scholarships from TU Delft, underscoring their significant contributions to the field of prognostics and composite structures.

Impact and Influence

Assist Prof Dr. Eleftheroglou's impact extends beyond their research publications and academic achievements. Their involvement in organizations like ASME, the PHM Society, and CBM Academy showcases their commitment to advancing the field and fostering collaboration. Moreover, their invited seminars and presentations at renowned institutions and conferences globally highlight their influence in shaping discussions around AI for sustainability and structural health monitoring.

Legacy and Future Contributions

As Assist Prof Dr. Eleftheroglou continues to push the boundaries of Sustainable AI and prognosis for engineering systems, their legacy grows stronger. Their research not only contributes to the academic discourse but also has tangible implications for industries reliant on structural integrity and predictive maintenance. Looking ahead, their future contributions are poised to further revolutionize the intersection of AI, sustainability, and engineering, leaving an indelible mark on the field for generations to come.

Citations

  • Citations   445
  • h-index       9
  • i10-index    8

Notable Publication

Hamidreza Eskandari – Predictive Analytics – Best Researcher Award

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Assist Prof Dr. Hamidreza Eskandari - Predictive Analytics - Best Researcher Award 

Swansea University - United Kingdom 

Author Profile

Early Academic Pursuits

Assist Prof Dr. Hamidreza Eskandari embarked on his academic journey with a strong foundation in engineering, earning a Bachelor of Science in Electrical Engineering from the University of Tehran in 1998. Building upon this, he pursued a Master of Science in Socio-Economic Systems Engineering from Iran University of Science and Technology in 2001, where his thesis focused on developing Multiple Attribute Decision Making Models under Uncertainty. His academic pursuit culminated in a Ph.D. in Industrial Engineering and Management Systems from the University of Central Florida in 2006, with a concentration in Systems Simulation. His dissertation titled "Multi-objective Simulation Optimization Using Evolutionary Algorithm Approaches" underscored his early commitment to research at the intersection of industrial engineering and computational methods.

Professional Endeavors

Assist Prof Dr. Eskandari's professional journey is characterized by a diverse range of roles and responsibilities across academia, industry, and consultancy. From serving as a Research Scientist in Artificial Intelligence at Red Lambda Inc. to founding and managing SimTek Company in Tehran, Iran, he demonstrated a versatile skill set and entrepreneurial spirit. His academic tenure at Tarbiat Modares University in Tehran, Iran, marked a significant period where he held positions as Assistant and Associate Professor, alongside directing the Advanced Simulation Lab. His contributions extended beyond the classroom, including consultancy for national organizations and private companies, as well as serving as a member of the Board of Directors for the Iran Logistics and Supply Chain Scientific Society.

Contributions and Research Focus On Predictive Analytics

Assist Prof Dr. Eskandari's research portfolio reflects his expertise in areas such as Explainable Machine Learning, Forecasting Energy Consumption and CO2E, Simulation Modeling and Analysis, Big Data Analytics & Data Science, Evolutionary Computation, and Logistics and Supply Chain. His publications, with notable appearances in prestigious journals and conferences, showcase the depth and breadth of his contributions to academia. Through his work, he has addressed complex problems in multi-objective optimization, decision making under uncertainty, supply chain management, and transportation systems, among others.

Accolades and Recognition

Assist Prof Dr. Eskandari's contributions have garnered significant recognition, as evidenced by his publication record and academic affiliations. With a Google Scholar H-Index of 20 and a Scopus H-Index of 17, he has established himself as a leading figure in his field. His research has been published in esteemed journals such as Energy, Applied Soft Computing, and Transportation Research Part A, reflecting the impact and relevance of his work in academia and industry.

Impact and Influence

Assist Prof Dr. Eskandari's research and teaching endeavors have made a substantial impact on the academic community and beyond. His work has influenced the development of methodologies and tools in areas such as simulation optimization, multi-criteria decision analysis, and machine learning. Through his teaching, mentoring, and professional engagements, he has inspired and guided numerous students and practitioners in the field of industrial engineering and management.

Legacy and Future Contributions

As Assist Prof Dr. Eskandari continues his academic journey, his legacy is characterized by a commitment to excellence, innovation, and societal impact. With ongoing research projects and collaborations, including prospective postdoctoral fellowships and grant-funded initiatives, he is poised to make further contributions to advancing knowledge and solving real-world challenges in his areas of expertise. His dedication to education, research, and service underscores his enduring commitment to shaping the future of industrial engineering and management systems.

Citations

  • Citations   1539
  • h-index       20
  • i10-index    28

Notable Publication

 

 

Raquel Cantero Téllez – Modelos predictivos – Women Researcher Award 

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Prof Dr. Raquel Cantero Téllez - Modelos predictivos - Women Researcher Award 

Universidad de Málaga - Spain

Author Profile

Early Academic Pursuits

Prof Dr. Raquel Cantero Téllez embarked on her academic journey by attaining a Diploma in Physiotherapy in 1998, followed by a Diploma in Occupational Therapy in 2010. This foundation paved the way for her dual career path in clinical practice and academia. Her pursuit of knowledge led her to specialize in hand injuries, a field she has consistently dedicated herself to throughout her career.

Professional Endeavors

Prof Dr. Raquel's professional trajectory is characterized by a seamless blend of clinical work, academic pursuits, and leadership roles. She began her international journey in 2000 with a scholarship at the Centro Studi Mano in Milan, where she delved into different clinical environments. Following this, she transitioned into a role that combined clinical practice with teaching and research at the University degli Studi di Milano.

Returning to Spain in 2004, she established the first Hand Therapy Unit in the country and founded the Spanish Association of Hand Therapists, showcasing her commitment to advancing the field domestically. Moreover, her educational initiatives, such as launching specialized programs in Hand Therapy, filled critical gaps in Spain's healthcare education landscape.

Contributions and Research Focus On Modelos predictivos

Prof Dr. Raquel's research focus centers on hand rehabilitation, evident in her extensive publication record and leadership in numerous projects. Her work explores diverse facets of hand injuries, ranging from proprioception to functional recovery post-injury. Notably, she has led pivotal studies, such as investigating the impact of high-intensity laser therapy on thumb osteoarthritis.

Furthermore, her collaborations on international projects, such as those with the IBIMA HandResearchTeam, highlight her global impact in advancing hand therapy practices and knowledge dissemination.

Accolades and Recognition

Prof Dr. Raquel's contributions have earned her international recognition, evident in her invitations as a keynote speaker and committee member at prestigious congresses. Her research publications have garnered significant citations, underscoring their relevance and impact within the scientific community.

Impact and Influence

Prof Dr. Raquel's influence extends beyond academia through her active engagement in social media platforms and the creation of dedicated online communities for hand therapists. By leveraging these platforms, she facilitates the exchange of knowledge and fosters collaboration among professionals globally, thereby amplifying her impact.

Legacy and Future Contributions

Prof Dr. Raquel's legacy lies in her sustained dedication to advancing hand therapy practices, her significant research contributions, and her role as a mentor to future generations of therapists. Looking ahead, she aims to further enhance her research endeavors, expand her educational initiatives, and establish specialized research lines to address emerging challenges in hand rehabilitation. Her commitment to improving patient outcomes and advancing the field ensures a lasting legacy of excellence and innovation in hand therapy.

Citations

  • Citations   457
  • h-index       12
  • i10-index    15

Notable Publication

 

Amirhosein Bodaghi – Predictive Analysis – Best Researcher Award

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Dr. Amirhosein Bodaghi - Predictive Analysis - Best Researcher Award

Federal University of Rio de Janeiro - Brazil 

Author Profile

Early Academic Pursuits

Dr. Amirhosein Bodaghi's academic journey began with a solid foundation in Electrical Engineering and Control during his Bachelor's degree at the University of Tabriz in Iran. He further honed his skills in Electronic Engineering during his Master's studies at the University of Imam Hossein, where he delved into innovative models for biological computers. His academic pursuits took a significant turn towards Information Technology during his Ph.D. at the University of Tehran, where he focused on modeling rumor spreading on online social networks. This period marked the inception of his interdisciplinary approach, blending IT with social science concepts.

Professional Endeavors

Dr. Bodaghi's professional career reflects his diverse skill set and global engagements. From serving as a Control Engineer at Sahel Oil Company to his roles at the International Telecommunication Organization and Asia-Pacific Telecommunity, he demonstrated expertise in ICT management, cyber security, and e-commerce. His tenure as the official delegate of APT in the ITU underscored his diplomatic prowess in shaping international ICT policies.

Contributions and Research Focus On Predictive Analysis

Dr. Bodaghi's research endeavors have primarily centered around the analysis of online social networks, with a particular focus on rumor spreading and fake news dissemination. His pioneering work includes developing novel models to understand the dynamics of information diffusion, considering factors like dissenting opinions and social network structures. Through empirical studies leveraging massive datasets from platforms like Twitter and Instagram, he has provided valuable insights into the mechanisms underlying the propagation of information and misinformation in online environments.

Accolades and Recognition

Dr. Bodaghi's contributions to the field have been recognized through numerous publications in reputable journals and conferences. As a first author, he has published extensively on topics ranging from rumor spreading dynamics to financial anomaly prediction using social media data. His research has not only advanced the theoretical understanding of information diffusion but also offered practical implications for areas such as financial forecasting and risk management.

Impact and Influence

Dr. Bodaghi's interdisciplinary research approach has contributed significantly to bridging the gap between computer science, social science, and information technology. His work on understanding the nuances of online information propagation has implications for various stakeholders, including policymakers, social media platforms, and the general public. By shedding light on the mechanisms driving the spread of rumors and fake news, he has paved the way for more effective interventions aimed at mitigating the negative consequences of misinformation in the digital age.

Legacy and Future Contributions

As Dr. Bodaghi continues to explore the complex dynamics of online social networks, his legacy lies in fostering a deeper understanding of the interconnectedness between human behavior and information dissemination in digital environments. Moving forward, his research is poised to address emerging challenges such as deepfake proliferation, algorithmic bias, and the ethical implications of AI-powered decision-making systems. Through his interdisciplinary lens and commitment to rigorous scholarship, Bodaghi remains at the forefront of shaping the future of computational social science and information technology.

Citations

  • Citations    168
  • h-index       6
  • i10-index    5

Notable Publication