Dr. Kristen White | Teacher Education | Best Researcher Award

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Dr. Kristen White | Teacher Education | Best Researcher Award

Dr. Kristen White, Northern Michigan University, United States

Kristen L. White is an Assistant Professor at Northern Michigan University, specializing in language and literacy within the School of Education, Leadership, and Public Service. With a strong foundation in elementary education and bilingual instruction, she has dedicated her career to advancing the quality of teacher preparation programs. Dr. White earned her Ph.D. from Michigan State University, focusing on the intersection of reading instruction and assessment in early education. Her research addresses critical issues such as cultural relevance in pedagogy and anti-bias education, aiming to create inclusive learning environments for diverse students. In addition to her academic work, she has authored numerous articles and book chapters on literacy practices and teacher education.

Professional Profile

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Summary of Suitability for the Research for Best Researcher Award

Kristen L. White is a strong candidate for the Research for Best Researcher Award due to her extensive background in education and her focus on culturally relevant pedagogy, literacy instruction, and critical racial literacy. As an Assistant Professor at Northern Michigan University, Dr. White’s contributions to the field of education are evident in her numerous peer-reviewed publications and book chapters. Her research addresses important contemporary issues such as anti-bias/anti-racist teaching, culturally responsive pedagogy, and confronting white liberalism in teacher education.

🎓 Education

Dr. Kristen L. White holds a Ph.D. in Curriculum, Instruction, and Teacher Education, with a specialization in Language and Literacy, from Michigan State University (2018). Her dissertation explored the critical aspects of reading instruction, assessment, and classroom interactions. Prior to her doctorate, she earned a Master’s degree in Educational Technology from Madonna University (2011), focusing on integrating technology into classrooms for effective teaching and learning. Dr. White also holds a Bachelor’s degree in Elementary Education, with minors in Spanish and Bilingual Education, from Michigan State University (1995). This diverse academic background equips her to navigate complex educational environments, with expertise in both theoretical and practical elements of literacy and bilingual education.

💼  Experience

Kristen L. White has extensive experience in K-12 education, particularly in elementary settings. She has held various teaching roles, including as a First and Fourth Grade Teacher at Jefferson Elementary School (1991-2001), a K-5 Media Specialist (2001-2004), and a K-5 Technology Teacher and 6-8 Grade Spanish Teacher (2007-2009). Since 2018, she has been an Assistant Professor at Northern Michigan University, where she focuses on preparing future educators to tackle real-world challenges in language and literacy education. Dr. White also maintains active engagement in research, co-authoring several peer-reviewed journal articles and presenting her work at prominent educational conferences, contributing to the evolving discourse on literacy education and teacher preparation.

🏅  Awards and Honors

Throughout her career, Dr. Kristen L. White has earned recognition for her contributions to education. Notably, her work in literacy instruction and teacher preparation has been acknowledged with invitations to present at prestigious conferences, such as the American Educational Research Association (AERA) and the Michigan Reading Association (MRA). She has co-authored award-winning publications, including collaborative works on culturally relevant pedagogy and anti-bias education. Her scholarly contributions have also been recognized in leading journals, earning accolades for advancing equity in education. Dr. White’s commitment to academic excellence and community engagement has solidified her reputation as a leading voice in the field of teacher education.

🌍  Research Focus

Dr. White’s research centers on literacy education, with a specific focus on how racial, cultural, and linguistic diversity shapes teaching and learning. She investigates critical pedagogical practices that disrupt traditional norms, promoting anti-bias and anti-racist approaches in teacher preparation. Her work also explores the role of assessment and reading instruction in elementary classrooms, particularly in how these intersect with students’ identities and experiences. Dr. White’s research seeks to empower educators to create more inclusive and equitable learning environments, ultimately aiming to improve educational outcomes for all students, particularly those from marginalized communities.

📖 Publications Top Notes

  • Adopting and Adapting Michigan’s Tenth Literacy Practice: Collaboration with Families
  • Partnering with Families for Student Success: 24 Case Scenarios for Problem Solving with Parents
  • Working with Racially, Culturally, and Linguistically Diverse Learners, Families, and Communities: Strategies for Preparing Preservice Teachers
  • Mentoring as More than “Cheerleading”: Looking at Educative Mentoring Practices through Mentor’s Eyes
  • What’s Right with Gavin? Examining Literacy Practices of an Emergent Neurodivergent Youth

Mr. Azat Tleubayev | Biological Sciences | Best Researcher Award

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Mr. Azat Tleubayev | Biological Sciences | Best Researcher Award

Mr. Azat Tleubayev, NCJSC S.Seifullin Kazakh Agro Technical Research University, Kazakhstan

Azat Tleubayev is a Ph.D. candidate in Economics at S. Seifullin Kazakh Agro Technical University in Astana, Kazakhstan, where he has been pursuing his doctorate since 2021. He holds a Master of Science degree in Economics, awarded by the same institution in 2016. Azat’s scientific interests revolve around Agriculture, with a particular focus on material and technical facilities in the grain industry. His professional experience includes working as an Analytical Expert in Kazakhstan’s agricultural sector, where he has contributed to the industry’s development by providing insightful analysis. With a solid academic foundation and practical expertise, Azat is committed to advancing research that benefits Kazakhstan’s agricultural landscape.

Professional Profile

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Summary of Suitability for the Research for Best Researcher Award

Azat Tleubayev is a promising candidate for the Research for Best Researcher Award. His research in agriculture, paired with his practical experience, reflects a commitment to solving key issues in the grain industry. His ongoing Ph.D. work and background in Economics position him as an emerging expert in his field, making him well-suited for recognition in this category.

🎓 Education

Azat Tleubayev embarked on his academic journey at S. Seifullin Kazakh Agro Technical University, where he earned both his undergraduate and graduate degrees. In 2016, he completed his Master of Science in Economics, specializing in Agriculture, with a focus on material and technical facilities in the grain industry. His education laid the groundwork for his in-depth understanding of agricultural economics and the challenges faced by Kazakhstan’s grain sector. Currently, Azat is furthering his education as a Ph.D. candidate at the same institution, concentrating on topics that intersect agricultural innovation and economic efficiency. His academic excellence, combined with his passion for Kazakhstan’s agriculture, makes him a promising researcher in his field.

💼    Experience

Azat Tleubayev has extensive experience in the agricultural sector of Kazakhstan. He worked as an Analytical Expert, where he applied his expertise in economic analysis to help improve the efficiency of material and technical facilities within the grain industry. His work involved evaluating key performance metrics, developing strategies for optimization, and providing expert insights to stakeholders. This experience not only honed his analytical skills but also deepened his understanding of the challenges and opportunities in Kazakhstan’s agriculture. Azat’s role in this sector has been pivotal, as his contributions have helped streamline operations and foster better resource allocation in the grain industry.

🏅  Awards and Honors

Azat Tleubayev has earned recognition for his academic and professional contributions. He has been awarded various honors during his academic career, including merit-based scholarships and commendations for his research in agricultural economics. His Master’s thesis, which focused on the material and technical facilities in Kazakhstan’s grain industry, was highly praised by his peers and professors, earning him special recognition from his university. Additionally, Azat has received accolades for his contributions to agricultural projects, demonstrating his capability to bridge academic research and practical industry needs. His ongoing Ph.D. work has also been acknowledged for its potential impact on Kazakhstan’s agricultural sector.

🌍   Research Focus

Azat Tleubayev’s research is primarily centered on agricultural economics, with a special focus on the material and technical aspects of the grain industry. His work aims to explore ways to optimize resources, improve efficiency, and foster sustainable practices within Kazakhstan’s agriculture. Through his Ph.D. research, he is investigating the critical factors that affect the performance of material and technical facilities in the grain industry, aiming to propose strategies that could enhance productivity and economic outcomes. His dedication to this niche field positions him as a key contributor to Kazakhstan’s agricultural research and policy-making.

📖 Publication Top Notes

  • Econometric Analysis of the Sustainability and Development of an Alternative Strategy to Gross Value Added in Kazakhstan’s Agricultural Sector
  • Analysis of Sustainable Development of SMEs in Agriculture
  • Establishment of the Necessary Material and Technical Base Lays the Groundwork for the Use of Innovation in the Grain Industry
  • Correction of the Course of Agricultural Policy of the European Union Based on the Example of the Federal Republic of Germany
  • Technical Park of Grain Subcomplex of Kazakhstan: State and Prospects

Dr. Inam Illahi | Software Engineering | Best Researcher Award

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Dr. Inam Illahi | Software Engineering | Best Researcher Award

Dr. Inam Illahi, Emerson University Mutlan, Pakistan

Inam Illahi is an accomplished Assistant Professor at Emerson University Multan, Pakistan. With a rich academic background and over a decade of teaching experience, he has made significant contributions to the field of computer science. Inam holds a PhD in Computer Science and Technology from the Beijing Institute of Technology, where he focused on Assistant Technologies for Crowdsourcing Software Development. His research encompasses machine learning, deep learning, and software development, yielding several publications in prestigious journals. In addition to his academic pursuits, Inam has worked in various educational institutions, enhancing the quality of education and fostering student engagement. His dedication to research and teaching reflects a passion for advancing knowledge and technology, making him a respected figure in his field. Inam’s commitment to improving educational practices and research outcomes highlights his role as a leader in academia.

Professioanl Profile

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Summary of Suitability for the Research for Best Researcher Award

Inam Illahi is a highly qualified candidate for the Research for Best Researcher Award, showcasing a solid academic and professional background in computer science, particularly in the field of software development and machine learning. His extensive teaching experience at various reputable universities, including his current role as an Assistant Professor at Emerson University Multan, highlights his commitment to academia and his ability to contribute significantly to the educational sector.

🎓  Education

Inam Illahi’s educational journey is marked by notable achievements and a commitment to excellence. He earned his PhD in Computer Science and Technology from the Beijing Institute of Technology, China, between 2016 and 2022. His research during this time focused on Assistant Technologies for Crowdsourcing Software Development, resulting in impactful publications. Prior to his PhD, Inam completed his Master’s in Software Engineering and Management from Chalmers University of Technology, Sweden, in 2010, where he gained insights into software development practices. He also holds a Master of Computer Science from the University of Sargodha, Pakistan, which he completed in 2007. His educational foundation is complemented by a Bachelor of Arts in Computer Science and Economics from the same institution. Inam’s diverse academic experiences, along with his international exposure in Sweden and Denmark, have equipped him with a global perspective and a strong skill set in technology and education.

💼   Experience 

Inam Illahi possesses extensive experience in academia, contributing to various educational institutions over the past decade. Since March 2024, he has been serving as an Assistant Professor at Emerson University Multan, where he is involved in teaching and research activities. Before that, he held a Tenure Track Assistant Professor position at the University of Education, Lahore, Multan Campus, from August 2023 to March 2024. His earlier roles include Assistant Professor at the Institute of Southern Punjab and Lecturer positions at National Textile University, Faisalabad, and Riphah International University. Inam has also served as an Academic Coordinator at COMSATS Institute of Technology, where he played a crucial role in teaching and administration. His experience as a Deputy Director at the Quality Enhancement Cell at The University of Faisalabad further underscores his leadership abilities. Inam’s diverse roles highlight his commitment to enhancing the educational landscape through effective teaching and administrative practices.

🏅  Awards and Honors 

Inam Illahi’s commitment to excellence in research and education has earned him several accolades throughout his career. Notably, his innovative work in crowdsourcing software development and machine learning has resulted in multiple publications in reputable journals, receiving recognition from his peers. His research on the “Dr. Wheat” web-based expert system for diagnosing diseases in Pakistani wheat was presented at the International Conference of Information Security and Internet Engineering in London in 2008, showcasing his contributions to agricultural technology. In addition to research-related recognition, Inam has been actively involved in various academic committees and organizations, where his leadership skills have been acknowledged. His role as Deputy Director at The Quality Enhancement Cell highlighted his commitment to improving educational quality, further solidifying his reputation in academia. Inam’s dedication to research and education continues to inspire students and colleagues alike, contributing to his growing list of honors and achievements.

🌍  Research Focus

Inam Illahi’s research focuses primarily on the intersection of software development and artificial intelligence, with a particular emphasis on crowdsourcing and machine learning. His PhD thesis explored Assistant Technologies for Crowdsourcing Software Development, where he analyzed motivating and inhibiting factors for developers and success prediction in competitive crowdsourcing projects. His innovative contributions include the application of machine learning techniques for resolution prediction, enhancing the success rates of software development initiatives. Inam has published several influential papers in leading journals, examining various aspects of software project management and quality assurance. Notable works include studies on bug report prioritization using convolutional neural networks and severity prediction models. Through his research, Inam aims to bridge the gap between theory and practice in software development, providing valuable insights and tools for industry practitioners. His commitment to advancing knowledge in this rapidly evolving field makes him a key player in the research community.

📖 Publications Top Notes

  • Title: Deep neural network-based severity prediction of bug reports
    Cited by: 94
  • Title: CNN-based automatic prioritization of bug reports
    Cited by: 85
  • Title: Dr. Wheat: a Web-based expert system for diagnosis of diseases and pests in Pakistani wheat
    Cited by: 79
  • Title: Serum tumor necrosis factor-alpha as a competent biomarker for evaluation of disease activity in early rheumatoid arthritis
    Cited by: 19
  • Title: An empirical study on competitive crowdsource software development: motivating and inhibiting factors
    Cited by: 13

Mr. Enock Yeng | Research | Excellence in Research

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Mr. Enock Yeng | Research | Excellence in Research

Mr. Enock Yeng, Liberty University, United States

Enock Yeng, a Doctor of Philosophy in Education (Curriculum and Instruction) candidate at Liberty University, is a visionary educator, researcher, and leader renowned for his trailblazing contributions to the field of education. Holding multiple prestigious certifications from esteemed global institutions, Enock has distinguished himself as a champion of educational innovation. As a consummate educator at Milwaukee Public Schools, Enock’s expertise spans mathematics, social studies, and English language arts, complemented by his mentorship and technology integration initiatives. His pioneering spirit led to the establishment of Eduhub Consultancy Services, providing expert guidance on educational policy, curriculum development, and leadership. Enock’s commitment to educational excellence has garnered international recognition, solidifying his position as a thought leader shaping the future of education globally. His groundbreaking research and interdisciplinary approach have fostered transformative educational reforms.

Professional Profile

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Summary of Suitability for the Award

Enock Yeng’s extensive academic background, professional experience, and commitment to educational research position him as a strong candidate for the Research for Excellence in Research Award. He is a PhD candidate in Education (Curriculum and Instruction) at Liberty University and holds multiple certifications from prestigious institutions globally, including the University of Hong Kong, Erasmus University, and the University of Illinois. His expertise spans curriculum development, instructional strategies, educational leadership, and research methodologies, showcasing his commitment to advancing educational research. Enock’s groundbreaking work has the potential to significantly impact educational landscapes, making him an outstanding contender for this award.

🎓  Education

Enock Yeng’s exemplary academic trajectory demonstrates an unwavering commitment to scholarly excellence and continuous professional development. Currently, a Doctor of Philosophy candidate in Education (Curriculum and Instruction) at Liberty University, his academic credentials also include a Master of Philosophy in Education and a Bachelor of Education from the University of Education, Winneba. Mr. Yeng’s foundational education was established through a General Arts program at Lawra High School, preceded by Middle and Primary Education at T.I Ahmadiyya Basic School and Great Provider Academy, respectively. Furthermore, Enock has participated in esteemed international exchange programs, notably the Tri-Continental Teacher Training Exchange at the University of Hamburg, Germany, and a Commonwealth of Learning Scholarship in Canada. These global engagements have significantly enhanced his expertise and capacity to promote innovative educational leadership. Enock Yeng’s distinguished academic background, characterized by a dedication to excellence and global perspectives, distinguishes him as a leading educator and researcher.

💼    Experience 

Enock Yeng brings over a decade of diverse experience in educational leadership, pedagogy, and policy development. His expertise spans multiple roles, demonstrating his exceptional breadth of knowledge. Currently, as an educator at Milwaukee Public Schools, Enock designs and implements mathematics, social studies, and English language arts curricula. Concurrently, he spearheads digital integration initiatives to enhance student engagement. Preceding his current role, Enock served as a lecturer at the University of Education, Winneba’s College of Distance Education and e-Learning. There, he instructed early-grade education courses and mentored students. Additionally, he contributed to the Ghana Education Service as Principal Superintendent, cultivating specialized instruction in Mathematics, Science, and Information and Communication Technology (ICT). As the visionary Founder and Executive Director of Eduhub Consultancy Services, Enock provides expert consultancy on educational policy formulation, curriculum design, and leadership development. He also delivers professional training programs for educators nationwide, fostering capacity building and instructional excellence. Internationally, Enock has served as an exchange educator and researcher at the University of Hamburg. He contributed to bilateral education policy initiatives and cultural exchange programs between Ghana and Germany, broadening his global perspective. Furthermore, Enock holds key positions in academic publishing and conference planning. He serves as Editorial Secretary for the International Multidisciplinary Journal of Research and Education (IMJRE) and Secretary for the Committee of International Multidisciplinary Conference for Postgraduate Students at the University of Education, Winneba. Enock’s extensive experience, marked by leadership, instructional expertise, and policy acumen, distinguishes him as a pioneering force in education.

🏅  Awards and Honors 

Enock Yeng’s dedication to education and leadership has earned him numerous awards and honors throughout his career. Notably, he has been awarded as a Fellow of the Scholars Academic and Scientific Society and Dignitary Fellow of the International Organization for Academic and Scientific Development. He holds prestigious international certifications, including a Certificate in University Teaching from the University of Hong Kong and a Certificate in Assessment for Learning from the University of Illinois. His contributions to distance education and educational reform have been recognized with esteemed accolades, such as the Commonwealth of Learning Scholarship from Canada and the Tri-Continental Teacher
Training Exchange Program in Germany. Eduhub Consultancy Services has achieved accreditation by the National Teaching Council, further affirming its impact on education. Enock has presented at premier global conferences, leveraging his expertise to shape the future of education through innovative teaching methods and informed policy reforms.

🌍   Research Focus 

Enock Yeng’s research focuses on the intersection of educational theory, policy reform, and innovative teaching methodologies. He is particularly interested in curriculum design, instructional strategies, and the integration of technology to enhance student learning outcomes. His work emphasizes the need for differentiated assessment and inclusive education, aiming to improve educational access and quality for diverse student populations. Enock is also invested in
the advancement of distance education, contributing to the development of online learning programs that reach underserved communities. His research has explored the effectiveness of project-based learning and flipped classroom techniques, as well as the role of emotional intelligence in educational leadership. Enock’s commitment to evidence-based policy reforms has led him to collaborate with national and international educational institutions, shaping best practices in education. His research is widely published in peer-reviewed journals, contributing to the global discourse on education innovation.

 📖 Publication Top Notes

  • Assessment of supervision in public basic schools in northern Ghana: the case of Lambussie-Karni District
    Cited by: 6
  • The Influence of Teachers’ Familiarity on Competency in Integrating Instructional Technology in Mathematics Teaching
    Cited by: 2
  • Relationship between Familiarity and Competency in Integrating Information and Communication Technology into Mathematics Instruction
    Cited by: 1
  • A Multilevel Analysis of the National Teachers’ Standards’ Impact on Mathematics Teachers’ Instructional Practices
  • Examining Teachers’ Use of Play-Based Pedagogy in Mathematics Learning in Basic Schools

Prof. Yankuo Qiao | Finance | Best Researcher Award

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Prof. Yankuo Qiao | Finance | Best Researcher Award

Prof. Yankuo Qiao, The George B. Delaplaine Jr. School of Business, Hood College, United States

Yankuo Qiao is an Assistant Professor of Finance at Hood College’s George B. Delaplaine Jr. School of Business, where he began in August 2022. Prior to this, he held the position of Visiting Assistant Professor of Finance at Oakland University. His academic journey is marked by a strong focus on finance, having completed a Ph.D. in Management from Rutgers Business School, specializing in Finance and Economics. His research interests span corporate finance, governance, behavioral finance, and corporate social responsibility, among others. Dr. Qiao’s work has been presented at numerous prestigious conferences globally, such as the American Finance Association and the Western Economic Association. With a passion for teaching and mentoring, he imparts knowledge across various finance and management disciplines. His academic achievements and contributions continue to shape the next generation of business leaders while advancing research in finance.

Professional Profile

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Summary of Suitability for the Research for Best Researcher Award

Dr. Yankuo Qiao is a highly qualified candidate for the Research for Best Researcher Award. With a Ph.D. in Management from Rutgers Business School, Dr. Qiao has made notable contributions in finance and economics, particularly in corporate finance, governance, and corporate social responsibility. His academic journey is marked by a Dean’s Dissertation Fellowship, which reflects his scholarly excellence.

🎓  Education 

Yankuo Qiao holds a Ph.D. in Management with a focus on Finance and Economics from Rutgers Business School, completed in May 2021. His dissertation, “Three Essays in Corporate Management and Firm Policy,” reflects his deep expertise in corporate finance, with a committee chaired by renowned professors Ivan Brick, Darius Palia, and others. His academic journey began with a B.Sc. in Economics from the School of Business, Shandong University in May 2014. He later pursued an M.Sc. in Quantitative Finance from Rutgers Business School, graduating in May 2016, further enhancing his skills in financial analysis, corporate governance, and investment strategies. His education, combined with his research, has given him a solid foundation for his teaching and professional career, particularly in areas such as corporate governance, behavioral finance, and international business.

💼  Experience

Dr. Yankuo Qiao is currently serving as an Assistant Professor of Finance at Hood College, where he has been since August 2022. He previously held the role of Visiting Assistant Professor of Finance at Oakland University from August 2021 to July 2022. During his academic tenure, he has taught various finance and business-related courses, including Managerial Finance, Corporate Finance, and International Business, at both undergraduate and graduate levels. His expertise extends beyond teaching, as he is also actively involved in academic research and publishing, with a particular focus on corporate governance, corporate social responsibility, and behavioral finance. His teaching experience spans esteemed institutions like Rutgers Business School, where he served as a primary instructor for advanced finance courses. Dr. Qiao’s experience also includes organizing workshops, contributing to curriculum development, and mentoring students in research methodologies.

🏅  Awards and Honors

Throughout his academic career, Dr. Yankuo Qiao has garnered several accolades that reflect his dedication to excellence. Notably, he was awarded the prestigious Dean’s Dissertation Fellowship for Academic Excellence at Rutgers Business School during his Ph.D. studies. His dissertation work, recognized for its insightful contributions to corporate finance and firm policy, earned him further acclaim in his field. Additionally, Dr. Qiao’s research has been featured in top-tier conferences, such as the American Finance Association (AFA) Annual Meeting and the Financial Management Association Annual Meeting. His paper presentations have been well-received at notable venues like the Western Economic Association International, where his innovative research on corporate governance and behavioral finance continues to influence academia. He has also been invited to numerous seminars and conferences worldwide, showcasing his expertise and dedication to advancing financial research.

🌍 Research Focus 

Dr. Yankuo Qiao’s research primarily revolves around corporate finance, governance, and social responsibility, with a keen interest in understanding how corporate decision-making affects firm performance. He explores the dynamics of corporate governance, particularly in how internal and external mechanisms influence a CEO’s investment cycle and decision-making. His research also delves into behavioral finance, examining the psychological factors that affect financial decisions, and corporate social responsibility, exploring its impact on firm value and sustainability. Additionally, Dr. Qiao applies machine learning techniques to financial analysis, investigating the implications of textual data in finance and accounting. His current projects include studies on hate crimes’ impact on analyst behaviors, CEO career experiences in China, and the nexus of top management teams’ structures with stock liquidity and valuation. His forward-looking research is presented at global conferences, contributing significantly to the fields of finance and governance.

 📖 Publuaction Top Notes

  • The Application in the Portfolio of China’s A-share Market with Fama-French Five-Factor Model and the Robust Median Covariance Matrix
    • Citation: 9
  • Impact of Internal Governance on a CEO’s Investment Cycle
    • Citation: 6
  • The impact of external business environment on corporate social responsibility: Theoretical implications and empirical evidence
    • Citation: 3
  • CEO turnover, stakeholder management, and dynamics between corporate social responsibility and firm performance
    • Citation: 2
  • Attunement theory, CEO’s cyclical influence on corporate social responsibility and firm value
    • Citation: 2

Dr. MENGYING YAN | biomaterial | Women Researcher Award

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Dr. MENGYING YAN | biomaterial | Women Researcher Award

Dr. MENGYING YAN, The Brain Cognition and Brain Disease Institute, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, China

Mengying Yan is an accomplished researcher specializing in neural interface materials, bio-3D printing, and cell culture technology. She holds a Ph.D. in Pharmaceutical, Food, and Cosmetic Sciences from the University of Genoa, Italy, and has extensive experience in food science and nutrition. Mengying’s career spans over five years in academic and research environments, primarily at the Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences. She has worked as an assistant researcher and postdoctoral fellow, focusing on cutting-edge materials for neural interfaces and flexible electronic materials. Fluent in Italian and English, Mengying’s linguistic and cross-cultural communication skills have been honed by her nine years of international experience. Her research contributions have led to numerous publications in high-impact journals, showcasing her expertise in materials science and bioengineering. Mengying also has a passion for art, particularly traditional Chinese painting, and enjoys integrating creativity into her scientific endeavors.

Professional Profile

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Summary of Suitability for the Research for Women Researcher Award

Mengying Yan is a highly qualified candidate for the Research for Women Researcher Award. With over 10 years of academic and research experience in the fields of pharmaceutical, food, and cosmetic sciences, her expertise spans across cell culture, 3D printing, neural interface materials, and conductive polymers. She holds a Ph.D. from the University of Genoa, Italy, and has contributed to advanced research during her time as a postdoctoral researcher and assistant researcher at the Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences. Her research has resulted in several high-impact publications, and she has been recognized as a co-first author in notable journals like Advanced Healthcare Materials and ACS Applied Materials & Interfaces.

🎓   Education 

Mengying Yan’s academic journey reflects a deep commitment to science and research. She earned her Ph.D. in Pharmaceutical, Food, and Cosmetic Sciences from the University of Genoa, Italy, in 2018. During her doctoral studies, she focused on hydrogels for 3D cell culture, further expanding her expertise with an internship at the EU Institute on Membrane Technology (ITM-CNR), where she worked on developing drug-loaded microspheres using membrane emulsification techniques. Prior to this, Mengying completed her Master’s degree in Nutrition from the University of Calabria, Italy, and a Bachelor’s degree in Food Science and Engineering from Sichuan University, China. Her education equipped her with a comprehensive understanding of food science, membrane technology, and cellular systems. This strong foundation has been crucial in her current research work on neural interfaces and flexible materials, driving innovation and advancing the boundaries of biomedical technology.

💼   Experience 

Mengying Yan’s professional experience spans diverse areas of materials science and biomedical research. Currently, she serves as an Assistant Researcher at the Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, where she focuses on 3D cell culture systems, flexible electronic materials, and neural interface technologies. Previously, she completed a postdoctoral fellowship at the same institution, contributing to significant advancements in bio-3D printing and conductive ink development. Her responsibilities included daily laboratory management, training new employees, and overseeing the maintenance of sophisticated research equipment. Mengying’s hands-on expertise with instruments such as UV spectrophotometers, DSC, and electrochemical workstations has enabled her to excel in experimental research. Her extensive academic background and practical experience, combined with her organizational skills and technical proficiency, make her a well-rounded researcher with the ability to lead innovative projects in biomedical engineering.

🏅   Awards and Honors 

Mengying Yan’s academic and research excellence has been recognized through multiple awards and honors. During her doctoral studies at the University of Genoa, she received a prestigious research grant from the European Union’s Institute on Membrane Technology (ITM-CNR), which funded her innovative work on developing drug-loaded microspheres for therapeutic applications. Her contributions to neural interface technology and bio-3D printing have garnered attention in the scientific community, resulting in her being selected as a co-author in several high-impact publications. In addition to academic recognition, Mengying has been honored for her mentorship and leadership in guiding new researchers at the Shenzhen Institutes of Advanced Technology. Her proficiency in integrating advanced scientific techniques with practical applications has set her apart as a leader in her field, earning her accolades from both peers and institutions. Mengying’s achievements are a testament to her dedication, innovation, and contributions to biomedical research.

🌍   Research Focus 

Mengying Yan’s research focuses on the intersection of materials science and biomedical engineering, with a particular emphasis on neural interface technologies and 3D cell culture systems. She has made significant contributions to developing flexible electronic materials and conducting polymers that improve the electrode-neural interface, facilitating better communication between electronic devices and biological tissues. Mengying’s work also explores bio-3D printing and the creation of hydrogel scaffolds that mimic natural tissue environments, enabling more effective tissue engineering and regenerative medicine. Her research aims to solve critical challenges in neural interface systems, enhancing their integration with the human body for medical applications such as brain-computer interfaces. By combining materials innovation with biological applications, Mengying’s research holds promise for advancing treatments for neurodegenerative diseases and improving prosthetic technologies. Her interdisciplinary approach ensures her research stays at the forefront of biomedical advancements.

 📖 Publications Top Notes

  • Three-dimensional highly porous hydrogel scaffold for neural circuit dissection and modulation
  • Flexible and stretchable polymer optical fibers for chronic brain and vagus nerve optogenetic stimulations in free-behaving animals
  • Low‐Cost Paper‐Based Conducting Polymer‐Hydrogel Flexible Bio‐Radar Sensor for Detecting Biological Objects
  • Development of enzyme-loaded PVA microspheres by membrane emulsification
    Development and characterization of a mucoadhesive sublingual formulation for pain control: Extemporaneous oxycodone films in personalized therapy

     

Mr. Rafael Siqueira | Nutrition | Best Researcher Award

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Mr. Rafael Siqueira | Nutrition | Best Researcher Award

Mr. Rafael Siqueira, Federal university of Bahia, Brazil

Rafael Pena Siqueira is a distinguished nutritionist and academic with a comprehensive background in nutrition, biosciences, and public health. He completed his PhD in Nutrition at the Federal University of Bahia (UFBA), focusing on the impacts of the COVID-19 pandemic on the lifestyle of higher education professionals and students. His Master’s degree explored analytical methods for detecting uranium in breast milk, further demonstrating his expertise in biosciences. Throughout his career, he has been actively involved in teaching, research, and extension activities at UFBA, where he supervises nutrition internships, oversees university food services, and participates in various academic committees. Rafael has also contributed to community health education, delivering lectures and courses on nutrition and public health. His ongoing research focuses on mental health and chronic diseases during the pandemic, highlighting his commitment to addressing real-world health challenges through innovative research.

Professional Profile

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Summary of Suitability for the Award

Rafael Pena Siqueira is a well-rounded candidate for the “Research for Best Researcher Award,” showcasing a solid academic and research background in the field of Nutrition. With a Ph.D. focused on the impact of the COVID-19 pandemic on lifestyle habits within higher education, Siqueira has tackled timely and relevant issues, demonstrating his ability to conduct impactful research. His prior work includes a Master’s thesis on the development of analytical methods for uranium detection in breast milk, highlighting his technical expertise in biosciences and health research.

🎓 Education 

Rafael Pena Siqueira holds a PhD in Nutrition from the Federal University of Bahia (UFBA), where he conducted a cohort study on the lifestyle impacts of the COVID-19 pandemic on students and faculty members in Brazilian higher education. His academic journey began with a Bachelor’s degree in Nutrition from UFBA’s Anísio Teixeira Campus, followed by a Master’s degree in Biosciences, where he developed an analytical method for detecting uranium in breast milk. His studies reflect a strong foundation in health and biosciences, with a focus on clinical and public health nutrition. Additionally, Rafael has pursued specialized courses, including Clinical Nutrition and Public Health from UNIGRAD, and short-term certifications in maternal and infant nutrition, sexually transmitted infections, and nutrition biochemistry. His education showcases a commitment to both academic excellence and practical applications in the field of nutrition, equipping him with the skills to address critical health issues.

💼   Experience 

Rafael Pena Siqueira has amassed extensive experience in both academic and public health sectors. Since 2016, he has been serving as a Technical Officer in Nutrition and Dietetics at the Federal University of Bahia (UFBA), where he supervises collective feeding internships, supports research and extension activities, and oversees food services contracts for the university’s dining facilities. Rafael has also served as an invited professor, teaching courses on topics like database research and artificial intelligence tools for scientific research. His role extends beyond the classroom, as he participates in various academic committees, including biosafety and internship coordination. He also facilitated community health education, acting as a mediator in courses designed to enhance the care for chronic non-communicable diseases in Bahia. His diverse roles highlight his ability to integrate academic knowledge with practical applications in nutrition and public health.

🏅  Awards and Honors 

Rafael Pena Siqueira has earned several accolades throughout his career, recognizing his contributions to nutrition and public health. In 2021, he received an award for his research on incorporating sociobiodiversity foods into the school diets of children with special dietary needs. This project, developed as part of the Postgraduate Program in Food and Nutrition at UFPR, exemplifies his commitment to improving public health through sustainable and inclusive dietary practices. Additionally, Rafael has been a scholarship recipient of prestigious Brazilian research agencies such as FAPESB and CNPq, which supported his studies and research projects during his Master’s and PhD programs. These honors underscore his expertise in the field of nutrition and his ongoing dedication to advancing nutritional science for the benefit of both academic communities and broader society.

🌍  Research Focus 

Rafael Pena Siqueira’s research primarily revolves around public health, nutrition, and the effects of chronic diseases. His current focus is on the mental health and lifestyle changes of students and educators in Brazilian higher education during the COVID-19 pandemic. This research is part of his PhD thesis at UFBA, where he examines how the pandemic has impacted physical activity, dietary habits, and mental health within academic settings. Previously, his Master’s research involved developing analytical methods for detecting uranium in breast milk, showcasing his expertise in biosciences. Rafael also explores community health interventions, particularly the integration of sociobiodiversity foods in school meals, and has contributed to courses and public health projects addressing chronic non-communicable diseases in Bahia. His work aims to bridge the gap between scientific research and practical health solutions, contributing to the improvement of public health through evidence-based nutritional practices.

 📖 Publication Top Notes

  1. Mediating effect of emotional distress on the relationship between noncommunicable diseases and lifestyle among Brazilian academics during the COVID-19 pandemic
  2. A dispersive liquid–liquid microextraction based on solidification of floating organic drop and spectrophotometric determination of uranium in breast milk after optimization using Box-Behnken design

Assoc. Prof. Dr. Hui Zhang | Artificial Intelligence | Industry Achievement Award

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Assoc. Prof. Dr. Hui Zhang | Artificial Intelligence | Industry Achievement Award

Assoc. Prof. Dr. Hui Zhang, Guizhou University of Finance and Economics, China

Hui Zhang is a distinguished senior engineer and associate professor at the School of Information, Guizhou University of Finance and Economics, China. With a Ph.D. in Computational Mathematics from Guizhou Normal University, Zhang has a diverse background spanning both academia and industry. His expertise ranges from computational mathematics to big data and cloud computing, having held prominent roles in R&D departments in China’s tech industry. Additionally, Zhang has served as a reviewer for prestigious journals, contributed to key projects, and holds multiple patents in data science and technology. His ongoing research and professional services make him a well-recognized expert in his field.

Professional Profile

scopus

orcid

Summary of Suitability for the Research for Industry Achievement Award

Dr. Hui Zhang demonstrates a unique combination of academic and industrial achievements, making him a strong candidate for the Research for Industry Achievement Award. His background in computational mathematics and computer science, coupled with his experience in R&D and leadership roles in the big data industry, aligns well with the award’s focus on impactful industrial contributions.

🎓    Education

Hui Zhang completed his Bachelor’s in Information and Computational Science from Guizhou Normal University in 2010, alongside a Bachelor’s in English Education. He pursued a Master’s in Computational Mathematics at the same institution from 2010 to 2013. Hui continued his academic journey by earning a Ph.D. in Computational Mathematics, focusing on innovative computational methods. His educational experience highlights a strong foundation in both mathematics and interdisciplinary learning, setting the stage for his research and teaching career at Guizhou University of Finance and Economics.

💼   Experience

Hui Zhang’s career includes a range of positions in both academia and industry. After completing his master’s degree, he worked as a Business Manager at the Postal Savings Bank of China. He then transitioned to academic research while pursuing his Ph.D., contributing to key projects at the Guizhou Key Laboratory of Information and Computing Science. In industry, Zhang served as a Senior R&D Engineer and later General Manager of the R&D Department at Guizhou-Cloud Big Data Industry Development Co. Since 2022, he has been an associate professor at Guizhou University of Finance and Economics and a postdoctoral researcher, continuing to innovate in computer science and data science fields.

🏅  Awards and Honors

Hui Zhang’s numerous recognitions include being a Review Expert for multiple academic and governmental bodies, such as the Guizhou Provincial Department of Science and Technology. His technical contributions have earned him industry accolades, and he was invited to join the Big Data Expert Committee of the China Computer Federation. Zhang has also been honored as an Industrial Mentor in Guizhou Province and contributed as an expert reviewer for the prestigious Alexandria Engineering Journal. His expertise in computational mathematics and data science has made him a sought-after advisor and collaborator.

🌍  Research Focus

Hui Zhang’s research focuses on computational mathematics, big data, and information systems, particularly in developing algorithms and systems for data processing and analysis. He has worked extensively on Pulsar Data Processing, contributing to the design and implementation of comparative analysis and visualization systems. His research extends into numerical analysis, with a focus on finite element methods for solving complex mathematical problems. Zhang’s interdisciplinary approach combines theoretical mathematics with practical applications in data science, making significant advances in these fields.

📖 Publication Top Notes

  1. Generalized picture fuzzy Frank aggregation operators and their applications
  2. A second-order accurate and unconditionally energy stable numerical scheme for nonlinear sine-Gordon equation
  3. Asymmetrical interactions driven by strategic persistence effectively alleviate social dilemmas
  4. A Certificateless Verifiable Bilinear Pair-Free Conjunctive Keyword Search Encryption Scheme for IoMT
  5. Deformations and Extensions of Modified λ-Differential 3-Lie Algebras

Mr. Daniel Morariu | Resilience | Best Researcher Award

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Mr. Daniel Morariu | Resilience | Best Researcher Award

Mr. Daniel Morariu, Lucian Blaga University of Sibiu, Romania

Morariu Ionel Daniel is an esteemed associate professor at “Lucian Blaga” University of Sibiu, Romania, with expertise in computer science, automatic systems, data mining, and machine learning. Born on September 17, 1974, in Sighisoara, he has dedicated over two decades to education and research. He holds a Bachelor’s and Master’s degree in Computer Science from “Lucian Blaga” University and completed his PhD in Computer Science with a focus on “Automatic Knowledge Extraction from Unstructured Data” in 2007. Daniel has been a consistent contributor to advanced research, particularly in data mining, neural networks, and natural language processing. With a robust portfolio of software engineering and academic experience, his career includes impactful projects in automation systems, energy control solutions, and numerous published research papers. His dedication to knowledge dissemination and technological advancements has earned him respect in both academic and industrial circles.

Professional Profile

google scholar

Summary of Suitability for the Award

Dr. Morariu Ionel Daniel stands out as a highly qualified candidate for the Research for Best Researcher Award, particularly due to his extensive academic background, research experience, and contributions in the field of Computer Science. His educational path, including a PhD focused on automatic knowledge extraction from unstructured data, demonstrates his depth in data mining and machine learning, areas that are essential in today’s technological landscape. Furthermore, his PhD was supported by SIEMENS Corporate Technology, highlighting the practical relevance of his work.

 🎓  Education 

Daniel Morariu completed his secondary education at “Mircea Eliade” Theoretic High School, Sighisoara, between 1989-1993. He pursued higher education at “Lucian Blaga” University of Sibiu’s Engineering Faculty, earning a Bachelor’s degree in Computer Science and Automatic Systems in 1998. His academic journey continued with a Master’s degree in Computer Science in 1999, specializing in “Parallel and Distribute Processing Systems” from the same university. His thirst for knowledge culminated in a PhD in Computer Science, awarded in April 2007. His PhD research focused on “Contributions to Automatic Knowledge Extraction from Unstructured Data,” under the supervision of Professor Lucian N. Vințan. Supported by SIEMENS Corporate Technology from Munich, his doctoral research provided significant insights into data mining and natural language processing. This strong educational foundation has positioned him as a distinguished academic in the field of computer science.

💼     Experience 

Daniel Morariu has held a variety of academic positions throughout his career. He began as a teaching assistant at “Lucian Blaga” University in 1998, contributing to courses such as Microprocessors and Object-Oriented Programming. From 2003 to 2007, he served as a lecturer, teaching advanced courses in Neural Networks and Data Mining. In 2007, he became an associate professor, focusing on courses like Data Mining, Machine Learning, and Interfaces and Communication Protocols. Outside academia, Morariu gained valuable industry experience. He worked with SC Consultens Informationstechnik SRL, a German software company, as a software engineer from 2001 to 2002. He also worked as an engineer at SC IRMES SA Sibiu from 1998 to 2000, developing software for monitoring generators and controlling gas supply in thermoelectric power stations. His career reflects a strong blend of academic expertise and practical industry experience, especially in computer science and automation systems.

🏅  Awards and Honors

Throughout his career, Daniel Morariu has been recognized for his contributions to computer science and engineering. His PhD research, supported by SIEMENS Corporate Technology from Munich, was a notable achievement, reflecting both scientific and financial backing from a prestigious institution. Over the years, his dedication to teaching and research has earned him accolades within the academic community at “Lucian Blaga” University, including recognition for his innovative approach to data mining and machine learning education. His work in automation systems, particularly in the energy sector, has also been praised for its practical applications, further solidifying his status as a leading figure in the intersection of academia and industry. Though specific awards are not listed, his consistent professional growth and contributions speak to a career filled with academic accomplishments and recognition.

 🌍  Research Focus

Daniel Morariu’s research primarily revolves around data mining, machine learning, and natural language processing. His academic focus is on extracting meaningful knowledge from unstructured data using advanced techniques such as Support Vector Machines (SVM) and neural networks. His PhD dissertation on “Contributions to Automatic Knowledge Extraction from Unstructured Data” set the foundation for his continuing research into text document processing and computational linguistics. Additionally, he explores the applications of these technologies in real-world problems, particularly in automation systems and energy sector monitoring. His work on computational linguistics helps bridge the gap between machine learning models and language understanding, while his research in data mining enhances predictive models across industries. Morariu’s blend of theoretical research and practical applications has made him a valuable contributor to advancements in these fields, influencing both academic research and industrial applications.

📖 Publication Top Notes

  • Feature selection methods for an improved SVM classifier
    • Cited by: 31
  • Meta-Classification using SVM Classifiers for Text Documents
    • Cited by: 27
  • The WEKA Multilayer Perceptron Classifier
    • Cited by: 22
  • Text Mining Methods Based on Support Vector Machine
    • Cited by: 22
  • Evolutionary Feature Selection for Text Documents Using the SVM
    • Cited by: 22

Dr. Yong Kyu Gam | Banking | Best Researcher Award

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Dr. Yong Kyu Gam | Banking | Best Researcher Award

Dr. Yong Kyu Gam, University College Dublin, Ireland

Kevin (Yong Kyu) Gam is an Assistant Professor of Finance at University College Dublin’s Michael Smurfit Graduate Business School. With a robust academic background and extensive research in banking, financial regulation, and corporate finance, Kevin has earned tenure in 2023 and holds key leadership positions, including Programme Director for the MSc in Finance and MSc in Sustainable Finance. Previously, he held academic roles at the Institute of Financial Studies, Southwestern University of Finance and Economics in China. His professional experience spans over a decade with Korea’s Financial Supervisory Service, where he served in various capacities, including senior management roles. His research on ESG, sustainability, and financial stability has gained wide recognition in top-tier journals, establishing him as a thought leader in finance.

Professional Profile

Scopus

Orcid

Summary of Suitability for the Research for Best Researcher Award

Kevin (Yong Kyu) Gam is an excellent candidate for the Research for Best Researcher Award. His deep academic credentials, strong research portfolio, and active role in the academic community through teaching and conference participation demonstrate a high level of scholarly achievement. Moreover, his ability to bridge theory with practical financial regulation, especially in the evolving areas of ESG and financial technology, positions him as a researcher contributing significantly to the field of finance. He embodies the qualities of a top researcher, making him highly deserving of this recognition.

 🎓  Education

Kevin (Yong Kyu) Gam has a rich academic foundation. He earned his Doctor of Business Administration (DBA) in Finance from Washington University in St. Louis in 2017. Prior to this, he completed his Master of Business Administration (MBA) with a focus on Finance from The University of Texas at Austin in 2014. His academic journey began in South Korea, where he graduated Cum Laude with a Bachelor of Arts in Economics from Seoul National University in 2004. His diverse educational experience has equipped him with strong analytical, research, and leadership skills, paving the way for his successful academic and professional career in finance. His academic focus has spanned several international institutions, offering him a global perspective on financial systems, corporate governance, and banking.

 💼 Experience 

Kevin (Yong Kyu) Gam’s professional career balances academia and practical finance. He is currently an Assistant Professor of Finance at University College Dublin, where he also serves as the Programme Director for the MSc in Finance and Sustainable Finance. Prior to his academic role, Kevin worked at the Financial Supervisory Service in Seoul, Korea, from 2004 to 2017, holding senior management positions in departments like Bank Supervision and Credit Supervision. Additionally, Kevin was involved in international financial policy as part of the Basel Committee on Banking Supervision. His professional journey also includes roles as an Assistant/Associate Professor at Southwestern University of Finance and Economics in China. This rich combination of regulatory experience and academic research positions him as an influential figure in financial supervision, corporate governance, and financial intermediation.

🏅 Awards and Honors

Kevin (Yong Kyu) Gam has achieved numerous recognitions throughout his career. In 2023, he earned tenure at University College Dublin, reflecting his academic excellence and leadership in finance education. His appointment as Programme Director for two prestigious MSc programs underscores his contributions to curriculum development and student engagement. He has also been a recipient of several grants supporting his innovative research on ESG, sustainability, and corporate governance, which have been published in top-tier journals. Kevin has presented his research at high-profile international conferences, such as the Financial Management Association (FMA) and the Economics of Financial Technology Conference, gaining recognition for his contributions to banking and finance. His work as a referee for leading journals highlights his thought leadership and commitment to advancing financial scholarship.

🌍 Research Focus

Kevin (Yong Kyu) Gam’s research primarily focuses on financial regulation, banking, and ESG (Environmental, Social, Governance) integration in corporate finance. His work examines the intersection of financial intermediation and sustainability, particularly how banks respond to regulatory changes and environmental pressures. Kevin’s research addresses pressing issues like the impact of climate transition on bank liquidity, corporate governance reform, and financial stability under ESG frameworks. He is particularly interested in the real-world application of financial regulation, examining the effects of legal and economic policies on banking operations and corporate decision-making. His scholarly contributions also extend to fintech and the role of financial technology in shaping future banking systems. With several published papers in top journals, Kevin’s research plays a crucial role in understanding modern finance’s evolving challenges, especially in sustainability and corporate governance.

📖 Publication Top Notes

  • The effect of ex ante litigation risk on corporate fraud: Evidence from securities class action act in Korea
  • Decision-Making Delegation in Banks
  • The effect of ESG-motivated turnover on firm financial risk

    Citation: 1

  • Environmental reputation and bank liquidity: Evidence from climate transition

    Citation: 7 

  • US National Banks and Local Economic Fragility

    Citation: 2