Efstathios Karakasidis | Gastroenterology | Best Researcher Award

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Mr. Efstathios Karakasidis | Gastroenterology | Best Researcher Award 

Mr. Efstathios Karakasidis | Gastroenterology | Medical Doctor at General Hospital Of Volos | Greece

Mr. Efstathios Karakasidis is a medical doctor and researcher whose professional journey reflects a balance between clinical excellence and academic advancement. He has established himself as a committed physician with expertise across internal medicine, pulmonary medicine, gastroenterology, and infectious diseases. His career demonstrates dedication to both patient-centered healthcare and evidence-based medical research. As a practicing doctor, he has served in demanding hospital environments and in rural healthcare facilities, where he provided essential medical services to communities with limited access to advanced care. Alongside his clinical responsibilities, he has remained consistently engaged in research initiatives that integrate modern medicine with emerging technologies, such as artificial intelligence and machine learning, particularly in the field of endoscopy and predictive modeling for patient outcomes.

Academic Profile

ORCID

Education

Mr. Efstathios Karakasidis completed his medical degree at the University of Thessaly, where he received a strong foundation in clinical medicine, diagnostics, and public health. During his academic journey, he demonstrated early interest in research and contributed to projects in the Department of Pulmonary Medicine. His commitment to learning extended beyond the classroom into clinical rotations, research fellowships, and scholarly activities that shaped his expertise in managing complex medical cases. His education not only emphasized clinical skills but also encouraged him to pursue innovative approaches that merge technology with medicine. This blend of rigorous medical training and research exposure has positioned him as a promising professional in both healthcare delivery and scientific inquiry.

Experience

Mr. Efstathios Karakasidis has built valuable experience across diverse medical environments. He has served as a resident physician in internal medicine, where he was entrusted with the care of patients across emergency units, oncology wards, nephrology clinics, and gastroenterology services. His clinical duties included direct patient management, participation in diagnostic and therapeutic procedures such as colonoscopy and endoscopy, and responding to acute emergencies. His training exposed him to critical cases, including respiratory diseases and infectious outbreaks, where his quick decision-making skills and medical expertise were tested. Additionally, his service as a rural doctor further strengthened his ability to deliver essential medical care in resource-limited environments, demonstrating his adaptability, resilience, and dedication to public health.

Research Interest

The research interests of Mr. Efstathios Karakasidis reflect a dynamic integration of clinical medicine with advanced technologies. He is particularly focused on the application of artificial intelligence and machine learning in medical diagnostics, especially in the field of gastrointestinal endoscopy. His work explores how predictive algorithms and data-driven models can enhance clinical decision-making and improve patient outcomes. He is also engaged in studying the lung and gut microbiome, examining its role in chronic respiratory diseases such as COPD, and has contributed to outbreak investigations in infectious disease epidemiology. His ability to contribute to interdisciplinary research, ranging from computational health models to public health interventions, demonstrates his vision for advancing modern healthcare.

Award

Mr. Efstathios Karakasidis has received recognition for his academic excellence and research commitment. He was awarded a competitive research scholarship in pulmonary medicine, which enabled him to actively contribute to projects on respiratory disorders and clinical training. He also received commendation for his outstanding performance at a national internal medicine congress, where his depth of knowledge and dedication to academic medicine were acknowledged. These awards highlight his standing as a young physician–scientist whose work has already attracted institutional and peer recognition.

Selected Publication

  • “Lung and gut microbiome in COPD” – Journal of Personalized Medicine, 2023 (18 citations).

  • “Review of use of artificial intelligence in endoscopy and disease activity in ulcerative colitis” – Endoscopy, 2023 (11 citations).

  • “Leptospirosis outbreak in Magnesia, Central Greece linked to catastrophic floods” – Hippokratia, 2024 (9 citations).

  • “Forecast trend of artificial intelligence and machine learning technology: prospects and implications in the field of gastrointestinal endoscopy” – Health Technology, 2025 (7 citations).

Conclusion

Mr. Efstathios Karakasidis is a physician and researcher who exemplifies the values of dedication, innovation, and service. His ability to combine frontline medical practice with high-level academic research makes him a strong candidate for this award. His contributions to internal medicine, respiratory research, microbiome studies, and artificial intelligence applications in healthcare demonstrate his commitment to advancing medical science for the benefit of society. He has already established a track record of impactful publications, clinical service in both hospital and rural settings, and recognition through academic awards. With his strong foundation and vision for integrating technology with medicine, he is poised to make even greater contributions to global healthcare in the future.

Roberto Moro-Visconti | Corporate Finance | Innovative Research Award

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Prof. Dr. Roberto Moro-Visconti | Corporate Finance | Innovative Research Award 

Prof. Dr. Roberto Moro-Visconti | Corporate Finance | Professor at Catholic University | Italy

Prof. Dr. Roberto Moro-Visconti is a distinguished scholar, chartered accountant, and consultant specializing in corporate finance, financial innovation, and the economic impact of digital transformation. His professional journey combines deep academic expertise with hands-on consultancy for private and public institutions, where he has advised on mergers, acquisitions, valuation of intangible assets, and turnaround strategies for distressed entities. As an associate professor of corporate finance at Università Cattolica del Sacro Cuore in Milan, he has contributed significantly to teaching, research, and mentorship, while also serving as an expert advisor to the Court of Milan on corporate finance and intellectual property. His career demonstrates a unique blend of academic scholarship, professional consultancy, and thought leadership in finance and economics.

Academic Profile

ORCID

Education

Prof. Dr. Roberto Moro-Visconti pursued a degree in Economics and Commerce at Università Cattolica del Sacro Cuore in Milan, laying the foundation for his career in finance and accounting. He later advanced his expertise through a Master in Finance and Investment at the University of Exeter in the United Kingdom, further solidifying his international academic exposure. He completed his Ph.D. in Economics at the same institution, marking a pivotal point in his research-oriented career. Over the years, his academic journey has been complemented by continuous engagement with professional certifications, including his long-standing role as a chartered accountant and auditor. His academic credentials, combined with his habilitation for full professorship, reflect a lifelong commitment to rigorous scholarship and professional practice.

Experience

The career of Prof. Dr. Roberto Moro-Visconti spans academia, consultancy, and judicial expertise. As a faculty member at Università Cattolica del Sacro Cuore, he has taught corporate finance and mentored future leaders in economics and management. Beyond academia, he has worked as a financial consultant for public and private entities, providing expertise in business planning, due diligence, intellectual property valuation, and restructuring processes. He has also played key roles as a statutory auditor, liquidator, and non-executive director in corporations across diverse industries. His consultancy extends to litigation and arbitration, where he has provided technical opinions in corporate finance cases. He is an experienced conference speaker, having presented research on corporate governance, financial innovation, and valuation models at numerous international forums.

Research Interest

Prof. Dr. Roberto Moro-Visconti’s research interests span financial innovation, corporate governance, sustainability, and the intersection of digital transformation with traditional finance. He has extensively studied FinTech, InsurTech, and PropTech industries, focusing on how scalable digital platforms reshape business models and valuation methods. His work also investigates the role of artificial intelligence in corporate decision-making, financial intermediation, and value creation. Another significant research stream explores sustainability and ESG integration in finance, bridging the gap between profitability and long-term societal impact. With interdisciplinary approaches, he connects economics, technology, and management science, contributing to academic debates while providing practical insights for industries and policymakers.

Award

Throughout his career, Prof. Dr. Roberto Moro-Visconti has been recognized for his contributions to academic excellence, consultancy expertise, and leadership in the finance discipline. His role as a technical expert for the Court of Milan highlights his credibility and authority in financial evaluation and intellectual property cases. Additionally, he has received recognition at both national and international levels for his participation in academic and professional conferences, as well as his impactful publications. His dedication to advancing corporate finance, digital transformation, and sustainability underscores his suitability for award recognition in academic and professional excellence.

Selected Publication

  • “Artificial intelligence-driven scalability and its impact on the sustainability and valuation of traditional firms” – 2023 – 41 citations

  • “Business Models and Sustainability Plans in the FinTech, InsurTech, and PropTech Industry: Evidence from Spain” – 2022 – 65 citations

  • “Digitalization intensity and its impact on financial performance: The role of scalable platforms” – 2025 – 23 citations

  • “Decoupling and Contagion in Bitcoin Markets: Evidence from a Bayesian Volatility Model” – 2025 – 18 citations

Conclusion

Prof. Dr. Roberto Moro-Visconti has built an illustrious career that bridges academia, consultancy, and public service, making him a highly deserving candidate for award recognition. His contributions to corporate finance research, particularly in digital transformation, artificial intelligence, and sustainability, position him as a forward-thinking leader in the global academic community. With impactful publications, extensive professional consultancy, and dedication to mentoring future scholars, he continues to shape the evolving discourse in finance and economics. His future trajectory promises even greater contributions to research, thought leadership, and policy impact, reflecting the qualities of an outstanding award nominee.

M.J. Hadianfard | Failure Analysis | Best Researcher Award

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Prof. M.J. Hadianfard | Failure Analysis | Best Researcher Award 

Prof. M.J. Hadianfard | Failure Analysis | Academic staff at Shiraz University | Iran

Prof. M.J. Hadianfard is a distinguished scholar in the field of metallurgical and materials engineering, widely recognized for his pioneering contributions to the development, characterization, and application of advanced materials. His expertise spans nanomaterials, biomaterials, composite materials, and specialized alloys, with a strong focus on addressing industrial challenges and advancing material technologies for engineering and biomedical applications. Through a career defined by excellence in research, teaching, and academic leadership, Prof. Hadianfard has established himself as an influential figure whose work continues to inspire innovation across multiple domains of science and technology. His dedication to expanding the frontiers of knowledge in structural integrity, failure analysis, corrosion, fatigue, and fracture mechanics underscores his reputation as a leading authority in materials science.

Academic Profile

Google Scholar

Education

Prof. M.J. Hadianfard pursued advanced education in materials and metallurgical engineering, equipping himself with a strong foundation in fundamental and applied aspects of material behavior. His academic training combined theoretical knowledge with practical experimentation, laying the groundwork for his expertise in the development of nanostructured alloys, composite systems, and biomedical materials. His educational journey fostered a unique ability to integrate engineering principles with scientific innovation, enabling him to make significant contributions to both academia and industry. This blend of knowledge and experience has allowed Prof. Hadianfard to approach complex engineering problems with creativity and precision, leading to impactful discoveries and solutions.

Experience

With an extensive academic and professional career, Prof. M.J. Hadianfard has contributed significantly to teaching, research, and collaborative projects at national and international levels. He has trained and mentored numerous undergraduate and postgraduate students, guiding them in advanced research areas such as nanotechnology, surface engineering, and biomaterial applications. His experience includes leading research teams, participating in international collaborations, and engaging with industries in sectors such as oil, gas, and biomedical engineering. Prof. Hadianfard’s ability to bridge academia and industry has resulted in practical applications of his research, demonstrating the real-world impact of his scientific work. His reputation as an educator and researcher is further strengthened by his role in fostering interdisciplinary collaboration and advancing global scientific exchange.

Research Interest

Prof. M.J. Hadianfard’s research interests lie at the intersection of materials science, nanotechnology, and biomedical engineering. He has focused on the synthesis, design, and testing of advanced materials with improved mechanical, structural, and functional properties. His investigations into fatigue, fracture, creep, and corrosion have contributed to a deeper understanding of material performance under extreme conditions. In addition, his work on biomaterials highlights his commitment to developing materials that enhance human health, particularly through the design of stainless steels and nanocomposites with superior bio-compatibility. His dedication to nanostructured materials and advanced coatings has positioned him at the forefront of innovations that enhance industrial durability and medical device performance.

Award

Prof. M.J. Hadianfard has received recognition for his contributions to the advancement of materials science and engineering, with distinctions awarded for both his research achievements and his commitment to education. His impactful publications, leadership in collaborative projects, and service to the academic community have earned him acknowledgment at institutional, national, and international levels. These awards reflect his influence not only as a scientist but also as a mentor and leader committed to the progress of scientific knowledge and its practical applications.

Selected Publication

  • Microstructural phase evaluation of high-nitrogen Fe–Cr–Mn alloy powders synthesized by the mechanical alloying process – 2009 – 95 citations

  • Surface modification of stainless steel orthopedic implants by sol–gel ZrTiO₄ and ZrTiO₄–PMMA coatings – 2013 – 88 citations

  • Effects of strain rate on mechanical properties and failure mechanism of structural Al–Mg alloys – 2008 – 80 citations

  • A new equation for predicting electrical conductivity of carbon-filled polymer composites used for bipolar plates of fuel cells – 2013 – 76 citations

  • In vitro electrochemical corrosion and cell viability studies on nickel-free stainless steel orthopedic implants – 2013 – 73 citations

Conclusion

Prof. M.J. Hadianfard represents the ideals of a global academic leader, combining visionary research with practical innovation, effective teaching, and impactful mentorship. His expertise in advanced materials has contributed to solving some of the most pressing challenges in engineering and healthcare, while his publications have shaped the direction of research in nanotechnology, composite systems, and biomaterials. With a strong record of scientific achievements, international collaboration, and professional recognition, Prof. Hadianfard stands as an exemplary nominee for prestigious awards. His work continues to bridge fundamental science and applied engineering, ensuring his lasting impact on both academic scholarship and industrial advancement.

Hossein Namdar Areshtanab | Mental Health | Best Researcher Award

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Dr. Hossein Namdar Areshtanab | Mental Health | Best Researcher Award

Dr. Hossein Namdar Areshtanab | Mental Health | Academic Member at Tabriz University of Medical Sciences | Iran

Dr. Hossein Namdar Areshtanab is a highly respected professor in the field of mental health and psychiatric nursing, recognized for his pioneering contributions to psychiatric care, nursing education, and community mental health. With a distinguished academic and clinical career, he has combined expertise in quantitative, qualitative, and mixed-method research to address complex issues in psychiatric nursing and mental health systems. He is widely known for his dedication to advancing evidence-based practices in psychiatric care, fostering innovation in nursing education, and mentoring the next generation of nursing scholars. His extensive publications, leadership roles, and community engagement highlight his standing as an influential academic leader in both national and international contexts.

Academic Profile

ORCID

Education

Dr. Hossein Namdar Areshtanab pursued his advanced education in psychiatric nursing, completing his doctoral studies with a focus on mental health systems and nursing care models. His academic path enabled him to specialize in psychiatric nursing interventions, psychopharmacology, counseling, and emergency mental health care. Through his academic training, he gained a comprehensive foundation in the theoretical and clinical aspects of psychiatric nursing while also developing expertise in research methodologies. His strong academic qualifications have empowered him to contribute to interdisciplinary projects and supervise graduate and doctoral students in advancing psychiatric nursing practices.

Experience

Over the course of his career, Dr. Hossein Namdar Areshtanab has held significant leadership roles across both academic and clinical settings. He has served as head nurse in psychiatric departments, clinical supervisor, head of psychiatric nursing departments, and research vice within academic faculties. His teaching experience spans undergraduate and postgraduate levels, covering courses such as psychiatric emergencies, mental health nursing, psychopharmacology, psychiatric interventions for different populations, and advanced mixed-methods research. His practical experience is equally noteworthy, involving patient-centered psychiatric care, development of innovative teaching models, and supervision of numerous theses addressing pressing issues in mental health. This breadth of experience demonstrates his ability to integrate research, practice, and teaching to advance the discipline.

Research Interest

The research interests of Dr. Hossein Namdar Areshtanab center on advancing mental health outcomes through innovative nursing practices and applied research. His primary focus includes psychiatric nursing interventions, emotional intelligence, stigma reduction, family-centered care, and mental health systems research. He has contributed to studies on psychiatric ward safety, patient care quality, and the relationship between nursing competence and mental health outcomes. Furthermore, his research extends to psychosocial aspects of chronic illness, communication in nursing, and the psychological well-being of healthcare professionals. His projects often address the practical needs of patients, families, and health systems while contributing to policy and practice at national and international levels.

Award

Dr. Hossein Namdar Areshtanab has been honored for his academic excellence and contributions to psychiatric nursing through leadership roles, participation in international conferences, and recognition by research councils. He has served as a reviewer and editor for multiple international journals and has contributed to policy discussions on psychiatric nursing and mental health care. His recognition stems not only from his published research but also from his role in strengthening academic programs, fostering international collaborations, and improving psychiatric nursing education. These achievements underscore his commitment to advancing the profession while impacting society through improved mental health awareness and care strategies.

Selected Publications

  • Critical care nurses’ experiences of caring challenges during post-resuscitation period: a qualitative content analysis (2024) – 25 citations.

  • Global, regional, and national burden of disorders affecting the nervous system: a systematic analysis for the Global Burden of Disease Study (2023) – 180 citations.

  • Developing the questionnaire of general population knowledge, attitudes and practices towards the COVID-19 outbreak (2024) – 40 citations.

  • Emotional intelligence and stress and their relationship with breastfeeding self-efficacy in mothers of premature infants (2024) – 15 citations.

Conclusion

In conclusion, Dr. Hossein Namdar Areshtanab exemplifies excellence in psychiatric nursing through his groundbreaking research, outstanding teaching, and leadership in advancing mental health care. His scholarly contributions have shaped psychiatric nursing practice, influenced policy, and improved education for future nursing professionals. With a significant body of research published in leading journals, extensive mentorship of students, and dedication to mental health advocacy, he continues to push the boundaries of nursing science. His ability to connect research, practice, and education places him at the forefront of psychiatric nursing, making him a highly deserving candidate for this award.

Olivier Donfouet | Agricultural Economy | Best Researcher Award

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Dr. Olivier Donfouet | Agricultural Economy | Best Researcher Award 

Dr. Olivier Donfouet | Agricultural Economy | Doctor at University of Dschang | Cameroon

Dr. Olivier Donfouet is a dynamic researcher in the field of Agricultural Economics with a specialized focus on the application of artificial intelligence to sustainable agricultural development. His career demonstrates a blend of academic rigor, innovative research, and community leadership. Through his contributions, he has addressed critical issues such as agricultural productivity, food security, and the integration of modern technologies into farming systems. He is recognized for his ability to combine economic modeling with advanced technological solutions, offering new insights into the role of innovation in transforming agricultural landscapes across Africa and beyond. His profile is further strengthened by his active involvement in academic teaching, mentorship, and social leadership, positioning him as a scholar with both local and international influence.

Academic Profile

Scopus

Education

Dr. Olivier Donfouet holds advanced academic qualifications in Agricultural Economics and Mathematical Economics, having successfully completed rigorous programs that shaped his expertise in economic analysis, modeling, and applied research. His doctoral studies were focused on exploring the impact of artificial intelligence on agricultural development, a topic of immense significance for global food systems and sustainable practices. Throughout his academic journey, he honed his proficiency in areas such as statistical analysis, econometrics, and computational modeling, supported by his strong background in mathematics and economic theory. This robust academic foundation has not only provided him with the technical skills to conduct high-level research but has also empowered him to guide and supervise students in higher education. His educational trajectory demonstrates both depth and specialization, making him a credible and innovative academic voice in his domain.

Experience

Professionally, Dr. Olivier Donfouet has established himself as a respected academic and researcher with extensive experience in university-level teaching and student supervision. He has taught courses covering macroeconomics, econometrics, financial mathematics, economic modeling, and computable general equilibrium models, supporting students across undergraduate and postgraduate levels. His teaching philosophy emphasizes clarity, applied knowledge, and the integration of theoretical foundations with real-world issues. Alongside teaching, he has gained practical research experience through international collaborations, notably at institutions dedicated to artificial intelligence applications in agriculture. His entrepreneurial mindset is evident in innovative projects such as creating mosquito-repellent products from natural resources, for which he has earned recognition in national innovation competitions. These experiences highlight his versatility as both a researcher and a practitioner, bridging academic excellence with societal impact.

Research Interest

Dr. Olivier Donfouet’s research interests lie at the intersection of Agricultural Economics, artificial intelligence, and sustainable development. His work primarily investigates how AI-based tools, precision agriculture, and modern technologies can enhance productivity, empower farmers, and ensure food security in developing economies. He has explored themes such as the role of ICT in reducing undernourishment, the effect of artificial intelligence on agricultural factor productivity, and the socioeconomic implications of technology-driven development. His research not only contributes to academic discourse but also provides actionable insights for policymakers, stakeholders, and communities striving to adapt to the challenges of agricultural modernization. He continues to advance knowledge in this evolving field while fostering collaborations across disciplines to promote resilient agricultural systems.

Award

Recognition of Dr. Olivier Donfouet’s work has come through academic awards, research distinctions, and innovation prizes. His entrepreneurial project on mosquito-repellent products earned him commendations at both institutional and national levels, reflecting his commitment to applying research outcomes to solve real-life problems. Beyond individual awards, he has also represented his institution in international academic conferences, presenting his findings on the transformative role of artificial intelligence in agriculture. Additionally, his leadership as President of the YMCA of Dschang showcases his ability to combine scholarly achievements with community service, further highlighting the multifaceted nature of his contributions.

Selected Publication

  • Is artificial intelligence helping to empower women in agriculture in Africa? – Published in GeoJournal (2024) – 18 citations

  • Impact of artificial intelligence on the total productivity of agricultural factors in Africa – Published in Environment, Development and Sustainability (2024) – 22 citations

  • How important is ICT for reducing undernourishment in Africa? – Published in Telematics and Informatics Reports (2023) – 15 citations

Conclusion

Dr. Olivier Donfouet exemplifies the qualities of an outstanding researcher and academic leader who is highly deserving of international recognition. His expertise in agricultural economics, innovative use of artificial intelligence in addressing food security, and dedication to both teaching and community service set him apart as a rising figure in global academia. His publications in peer-reviewed journals, his international research collaborations, and his leadership roles demonstrate his ability to make significant contributions at both scholarly and societal levels. With continued focus on impactful research, broader collaborations, and academic leadership, Dr. Donfouet is poised to play an even greater role in advancing agricultural development and technological innovation. His profile represents a balance of scientific excellence, innovation, and social responsibility, making him a strong candidate for this award nomination.

Asiye Toker Gokce | Education | Best Researcher Award

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Prof. Asiye Toker Gokce | Education | Best Researcher Award

Prof. Asiye Toker Gokce | Education | Professor at Kocaeli University | Turkey

Prof. Asiye Toker Gokce is a prominent scholar in the field of educational sciences, known for her extensive contributions to teacher education, organizational behavior, educational leadership, and professional ethics in education. She has built a strong academic profile through her work on leadership and gender, professional socialization, organizational development, and the challenges of mobbing and whistleblowing within educational institutions. As a professor at Kocaeli University, she has influenced both national and international educational research through her teaching, publications, and leadership roles. Her work reflects a commitment to bridging academic theory with practical reforms that improve educational practices and organizational culture in schools and higher education institutions.

Academic Profile

ORCID

Education

Prof. Asiye Toker Gokce has pursued an academic career grounded in the study of educational sciences and administration. She holds a doctorate in educational administration, following a master’s degree in curriculum and instruction, and an undergraduate degree in educational sciences. These academic achievements reflect her long-standing dedication to advancing the understanding of how schools and organizations can better serve educators, students, and communities. Her education has provided her with the theoretical foundation to develop expertise in organizational leadership, ethical practices, and the role of values in shaping educational institutions. This background continues to inform her scholarly contributions, ensuring that her research is rooted in both practical application and academic rigor.

Experience

Prof. Asiye Toker Gokce has extensive academic and professional experience, with a career spanning teaching, research, and leadership positions. She currently serves as a professor in the Faculty of Education at Kocaeli University, where she leads research initiatives, supervises graduate students, and contributes to the development of academic programs in educational sciences. Her experience also includes service within the Ministry of National Education, where she gained valuable insights into the challenges and opportunities in educational administration. Beyond her university role, she has actively participated in professional organizations, editorial boards, and research associations, further expanding her impact within the global academic community.

Research Interest

Prof. Asiye Toker Gokce’s research interests encompass a wide range of topics that address contemporary issues in education. She is particularly engaged in teacher education, organizational development, and leadership in education, with a special focus on gender dynamics, ethics, and values in professional practice. Her research also explores themes of organizational behavior, mobbing, whistleblowing, and the professional socialization of educators. More recently, she has expanded her work into digital transformation in education, with studies on artificial intelligence literacy and the ways technology reshapes teaching and learning. Her scholarly pursuits highlight her commitment to addressing both long-standing and emerging issues that influence the quality and sustainability of education worldwide.

Award

Prof. Asiye Toker Gokce has been recognized for her scholarly contributions, leadership, and editorial roles in advancing education research. She is the founding president of the Future is You Association, a platform that fosters collaboration between educators, researchers, and students for the advancement of innovative educational practices. She also serves as the chief editor of the Journal of Education & Youth Research, where she has played a key role in amplifying new voices in education scholarship. In addition, she has held editorial positions with respected journals such as Education and Science and Psycho-Educational Research Reviews. These roles, combined with her academic publications and research leadership, underscore her recognition as a highly respected scholar in Türkiye and beyond.

Selected Publication

  • Investigating the level of artificial intelligence literacy of university students using decision trees (Published 2025, Citations: 12)

  • Artificial intelligence literacy scale: A study of reliability and validity in Turkish university students (Published 2025, Citations: 18)

  • Beyond the school: principals’ insights on expanded roles in times of crisis. The case of COVID-19 in Turkey (Published 2024, Citations: 25)

  • Ethical challenges: The influence organizational and personal values have on perceptions of misconduct and the factors of whistleblowing (Published 2023, Citations: 31)

Conclusion

Prof. Asiye Toker Gokce is a highly accomplished scholar whose work in educational administration, organizational behavior, ethics, and teacher education has had a lasting impact on the academic and professional communities. Her publications demonstrate both breadth and depth, addressing issues ranging from ethical challenges in education to the role of artificial intelligence in shaping student learning. Through her leadership in editorial positions, founding of associations, and mentoring of young scholars, she has shown a consistent dedication to advancing knowledge and building collaborative networks. Prof. Gokce’s commitment to research excellence, professional service, and innovation in education positions her as a deserving candidate for international recognition and awards. Her future potential lies in expanding global collaborations, leading transformative projects, and continuing to shape the field of educational sciences with visionary scholarship.

Amena Darwish | Machine learning | Best Researcher Award

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Ms. Amena Darwish | Machine learning | Best Researcher Award

Ms. Amena Darwish | Machine learning | PhD Student at University of Skovde | Sweden

Ms. Amena Darwish is a data scientist whose expertise lies in the integration of artificial intelligence and data-driven approaches into industrial and scientific applications. With a strong foundation in software engineering and advanced data science, she has established herself as a researcher focused on applying deep learning models to solve complex real-world challenges. Her work emphasizes predictive analytics, intelligent manufacturing, and process optimization, where she leverages the power of machine learning and information fusion to uncover insights often overlooked by traditional models. She has demonstrated her capacity to translate academic knowledge into applied innovations, bridging the gap between research and industry.

Academic Profile

Scopus |  ORCID

Education

Ms. Amena Darwish has pursued a solid academic path in information technology and data science, beginning with formal studies in software engineering that laid the groundwork for her understanding of computational systems and programming. She advanced her qualifications with a master’s degree in data science, where she deepened her expertise in advanced statistical modeling, neural networks, and machine learning techniques. Building upon this foundation, she is currently engaged in doctoral research in data science at the University of Skövde, focusing on industrial applications of deep learning for process modeling and optimization. Her educational journey reflects a consistent commitment to advancing her knowledge and contributing to the rapidly evolving field of artificial intelligence.

Experience

Ms. Amena Darwish has accumulated diverse experience in both academic and industrial research environments. She has served as a research assistant, contributing to projects that combined machine learning techniques with practical applications such as driver behavior modeling and industrial defect detection. Her experience also includes collaborative work with global industrial partners, where she applied predictive simulation and data-driven models to optimize processes in manufacturing. Beyond research, she has worked as a programmer and educator, developing software solutions and teaching programming fundamentals to students. These experiences demonstrate her versatility, as she has effectively balanced theoretical research with applied problem-solving and knowledge dissemination.

Research Interest

Ms. Amena Darwish’s research interests center on deep learning, artificial intelligence, and data-driven modeling with a focus on industrial systems. She is particularly engaged in developing predictive models for welding process optimization, defect detection, and quality improvement in advanced manufacturing. Her work often involves combining neural networks with multispectral sensor analysis, data mining, and simulation techniques to achieve greater accuracy and efficiency. She is also interested in information fusion and business intelligence, exploring how data can be integrated from multiple sources to inform decision-making and enhance system performance. Her broader interest lies in shaping intelligent, adaptive systems that can improve safety, efficiency, and reliability across different industrial domains.

Award

Ms. Amena Darwish has been recognized for her academic excellence and research contributions in artificial intelligence and data science. Her achievements in bridging theoretical AI concepts with industrial applications have earned her acknowledgment within academic and professional circles. By contributing to high-quality publications indexed in leading databases and participating in collaborative projects with industry leaders, she has established herself as a promising researcher whose work contributes both to academic advancement and societal impact. Her ability to combine innovation, collaboration, and technical expertise positions her as a candidate for prestigious international recognition.

Selected Publication

  • Investigating the ability of deep learning to predict welding depth and pore volume in hairpin welding (Published 2025, Citations: 16)

  • Weld Defect Detection in Laser Beam Welding Using Multispectral Emission Sensor Features and Machine Learning (Published 2024, Citations: 22)

  • Learning Individual Driver’s Mental Models Using POMDPs and BToM (Published 2020, Citations: 31)

Conclusion

Ms. Amena Darwish is a data scientist of exceptional promise whose academic background, research expertise, and practical experience reflect her commitment to advancing artificial intelligence and its applications. Her work addresses critical industrial challenges through data-driven methods that improve efficiency, safety, and quality in manufacturing and beyond. With strong contributions to international research, active collaborations with industry, and impactful publications in reputable venues, she has demonstrated both scholarly excellence and practical relevance. Ms. Darwish embodies the qualities of an innovative researcher and future leader, making her highly deserving of recognition through this award. Her trajectory suggests continued impactful contributions to data science and artificial intelligence, both in academia and in broader society.

Ioulia Kapsali | Smart EV Charging | Young Scientist Award

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Ms. Ioulia Kapsali | Smart EV Charging | Young Scientist Award 

Ms. Ioulia Kapsali | Smart EV Charging | Researcher at Industrial Systems Institute/ATHENA RC | Greece

Ms. Ioulia Kapsali is an accomplished researcher and engineer in the field of electrical and computer engineering, with a focus on artificial intelligence, machine learning, computer vision, and data-driven optimization. Her academic and professional journey reflects a blend of strong technical expertise, innovative problem-solving, and interdisciplinary applications that bridge engineering, computer science, and sustainable technologies. She has contributed to both academic research and applied projects, bringing forward advancements in artificial intelligence for robotics, biomedical applications, and energy optimization systems. Through her research, she has demonstrated a commitment to harnessing computational intelligence to address real-world challenges, contributing meaningfully to the global scientific community.

Academic Profile

ORCID

Education

Ms. Ioulia Kapsali completed her academic studies in electrical and computer engineering, where she acquired comprehensive knowledge of systems engineering, programming, signal processing, and optimization methods. During her academic training, she focused on areas such as artificial intelligence, neural networks, machine learning, and algorithmic problem-solving, developing a strong theoretical foundation complemented by practical projects. Her diploma thesis centered on energy cost and carbon-intensity optimization of electric vehicle charging, where she applied advanced optimization models to enhance the efficiency of smart grid operations. Through this work, she demonstrated her ability to combine engineering principles with sustainability-focused technologies, an approach that continues to define her academic and professional contributions.

Experience

Ms. Ioulia Kapsali has gained extensive experience across academia, research, and professional practice. She has been involved in European and international research initiatives, including collaborations under Horizon 2020 and Interreg Europe projects. In these contexts, she contributed to the design of machine learning algorithms, proposal writing, and multiparametric data analysis. She has worked as a computer vision engineer at AVISense.AI, where she applied advanced AI methods to develop innovative solutions in image and video analytics. Additionally, she has served as a project partner at the Computer Technology Institute and Press “Diophantus,” contributing to research and development initiatives in computer technology. Beyond her research roles, she has also demonstrated leadership as Head of Studies at a Secondary Education School, guiding academic management, mentoring students, and fostering interdisciplinary learning. Her experience showcases a balance of technical expertise, applied research, and educational leadership.

Research Interest

The research interests of Ms. Ioulia Kapsali span multiple domains within electrical and computer engineering. She is particularly focused on artificial intelligence and machine learning, with applications in computer vision, signal processing, and optimization. Her research addresses real-world challenges such as sustainable energy systems, intelligent robotics, and biomedical engineering solutions. She has explored deep learning techniques for visual data analysis, optimization methods for energy-efficient technologies, and data-driven approaches for predictive modeling. Her work in electric vehicle charging optimization demonstrates her interest in smart grids and low-carbon technologies, aligning with global priorities in sustainability. Additionally, she has worked on interdisciplinary applications that integrate computational intelligence with healthcare and environmental studies, reflecting the broad impact of her research interests.

Award

Ms. Ioulia Kapsali has been recognized for her academic and research achievements through participation in competitive programs, conferences, and workshops. Her contributions to European-funded research projects and her role as a computer vision engineer have brought her recognition in both academic and professional settings. She has been actively involved in presenting her research at international forums, where her work has been acknowledged for its innovation and practical applications. These recognitions highlight her role as a young researcher making valuable contributions to the advancement of artificial intelligence and engineering applications.

Selected Publication

  • “Energy Cost and Carbon-Intensity Optimization of Electric Vehicle Charging in Smart Grids” (2022, 14 citations)

  • “Machine Learning Algorithms for Multiparametric Data Analysis in Smart Systems” (2021, 11 citations)

  • “Computer Vision Approaches for Object Recognition in Dynamic Environments” (2020, 9 citations)

  • “Artificial Intelligence Applications in Biomedical Signal Processing” (2020, 7 citations)

Conclusion

In conclusion, Ms. Ioulia Kapsali exemplifies a dynamic and innovative researcher whose expertise lies at the intersection of electrical engineering, computer science, and artificial intelligence. Her academic foundation, combined with her research achievements, professional experience, and leadership roles, positions her as a strong candidate for international recognition. She has demonstrated the ability to apply advanced computational methods to pressing societal challenges, particularly in the fields of sustainable energy, intelligent robotics, and biomedical technologies. Her selected publications and active involvement in international projects underscore her commitment to advancing scientific knowledge while ensuring practical impact. With her growing contributions and potential for future leadership in research, Ms. Ioulia Kapsali stands out as a deserving nominee for this award.

Shibo Liu | UAV images | Best Researcher Award

Published on by Academic Achievements

Mr. Shibo Liu | UAV images | Best Researcher Award 

Mr. Shibo Liu | UAV images | Graduate Student at Lanzhou Jiaotong University | China

Mr. Shibo Liu is a highly regarded scholar in the field of mathematics, specializing in nonlinear functional analysis, variational methods, partial differential equations, and differential geometry. Currently serving as an Associate Professor at the Florida Institute of Technology, he has established a reputation for excellence in both research and teaching. His career has spanned multiple leading institutions across different countries, reflecting his global academic engagement and his ability to bridge theoretical mathematics with applied research. Through his sustained contributions to advanced mathematical analysis and international collaborations, Mr. Shibo Liu has become an influential figure in the academic community and a mentor to many emerging scholars in mathematics.

Academic Profile

ORCID

Education

Mr. Shibo Liu pursued his academic journey in mathematics through rigorous training at highly respected institutions. He completed his undergraduate and master’s degrees at Lanzhou University, where he developed a strong foundation in mathematical analysis and advanced problem-solving. He later obtained his doctoral degree from the Institute of Mathematics at the Chinese Academy of Sciences, where his research was supervised by prominent mathematicians in the field. His doctoral work laid the foundation for his future contributions to nonlinear analysis and variational methods, and it provided him with the skills and expertise to address some of the most challenging problems in elliptic and Schrödinger-type equations. His strong educational background continues to shape his teaching and research philosophy.

Experience

Mr. Shibo Liu has accumulated extensive academic experience through his roles as professor, visiting scholar, and academic leader at several universities and research centers. He has served in both teaching and administrative capacities, including as Associate Dean in a major mathematics department, where he contributed to academic policy development, curriculum design, and faculty advancement. In addition to his long-term professorships in leading Chinese universities, he has been invited as a guest professor and visiting scholar at internationally recognized institutions such as the University of Notre Dame and the Abdus Salam International Centre for Theoretical Physics. These roles allowed him to collaborate with international researchers, participate in high-level academic exchanges, and strengthen his expertise in applied mathematics and critical point theory. His teaching portfolio includes undergraduate and graduate courses such as partial differential equations, real analysis, topology, and nonlinear functional analysis, which have prepared generations of students for careers in mathematics and related disciplines.

Research Interest

The research interests of Mr. Shibo Liu encompass a wide range of topics in pure and applied mathematics, with a primary focus on nonlinear functional analysis and elliptic partial differential equations. His work frequently employs variational methods and critical point theory to establish the existence and multiplicity of solutions to nonlinear problems. He has contributed significantly to the study of Schrödinger equations, Schrödinger-Poisson systems, and fractional Laplacian problems, among others. His interest also extends to differential geometry and advanced methods in mathematical analysis, where he explores the interplay between geometric structures and differential equations. Through his collaborations, Mr. Shibo Liu has developed innovative approaches that have advanced both theoretical frameworks and practical applications of nonlinear mathematics.

Award

Mr. Shibo Liu has been recognized for his outstanding academic achievements through various awards, grants, and honors from both national and international institutions. His recognition reflects his strong impact in advancing mathematical knowledge and his leadership within the academic community. He has been awarded prestigious research grants that have supported his projects in nonlinear analysis and differential equations, enabling him to collaborate with international scholars and publish extensively in top-tier journals. His invited talks, visiting professorships, and leadership roles in professional organizations are additional testaments to the recognition he has received from peers across the global mathematics community.

Selected Publication

  • “Multiple solutions for Schrödinger-Kirchhoff equations with indefinite potential,” Applied Mathematics Letters, 2022, 35 citations.

  • “Quasilinear Schrödinger equations with concave and convex nonlinearities,” Calculus of Variations and Partial Differential Equations, 2023, 28 citations.

  • “On the Schrödinger-Poisson system with indefinite potential and 3-sublinear nonlinearity,” Journal of Differential Equations, 2020, 52 citations.

  • “Existence results for fractional Laplacian problems via Morse theory,” Advances in Calculus of Variations, 2016, 47 citations.

Conclusion

Mr. Shibo Liu is a distinguished mathematician whose career has been defined by excellence in research, teaching, and leadership. His expertise in nonlinear functional analysis and differential equations has led to groundbreaking results published in internationally recognized journals. Through his educational background, extensive academic experience, and global collaborations, he has contributed to the advancement of mathematics on multiple fronts. His recognition through awards, research grants, and leadership roles further underscores his influence and impact on the field. As he continues to expand his research collaborations and mentor the next generation of mathematicians, Mr. Shibo Liu demonstrates a strong potential for continued academic leadership and innovation. His achievements make him a highly deserving candidate for recognition through this award.

Ning Huang | Snow Physics | Best Researcher Award

Published on by Academic Achievements

Prof. Ning Huang | Snow Physics | Best Researcher Award 

Prof. Ning Huang | Snow Physics | Professor at Lanzhou University | China

Prof. Ning Huang is an esteemed scholar in the field of environmental and geophysical sciences, recognized for his pioneering contributions to snow physics, aeolian transport, and fluid mechanics. His career reflects a strong combination of theoretical depth, practical experimentation, and innovative computational modeling, allowing him to address critical issues related to climate change, atmospheric processes, and natural hazards. With a prolific publication record, high citation impact, and extensive international collaboration, Prof. Ning Huang has established himself as a respected academic leader. His work demonstrates a unique ability to merge interdisciplinary approaches in order to solve pressing environmental challenges while also mentoring emerging researchers and promoting academic excellence on a global scale.

Academic Profile

Scopus

Education

Prof. Ning Huang built his academic foundation through rigorous study in physics and related applied sciences, developing a deep understanding of fluid dynamics, particle transport, and environmental processes. His advanced education not only strengthened his expertise in core physical sciences but also provided the analytical and methodological tools required to pursue cutting-edge research in atmospheric physics and environmental modeling. This academic preparation has been instrumental in shaping his career as a leading researcher, allowing him to translate scientific principles into practical applications that address global environmental concerns.

Experience

Prof. Ning Huang has accumulated significant professional experience as a professor and researcher, contributing to both national and international scientific communities. His professional journey has been marked by consistent productivity, evidenced by numerous peer-reviewed articles in top-tier journals and collaborative research with scholars worldwide. His experience extends beyond publications, encompassing leadership roles in academic projects, participation in interdisciplinary research teams, and contributions to advancing scientific knowledge through innovative modeling and experimental techniques. He has successfully guided graduate students and young researchers, fostering a culture of academic inquiry and innovation. His active involvement in international collaborations further underscores his role as a global academic contributor, bringing together expertise from different domains to address complex environmental challenges.

Research Interest

Prof. Ning Huang’s research interests focus on snow physics, aeolian transport, dust emission processes, and environmental fluid mechanics. He has extensively studied the dynamics of snow avalanches, windblown sand transport, and the interaction between natural particles and atmospheric flows. His research also extends to climate-related processes, examining how environmental systems respond to physical forces and external changes. By employing advanced computational simulations, experimental validation, and theoretical frameworks, he has provided new insights into the behavior of environmental systems. His work has significant implications for hazard mitigation, ecological sustainability, and the development of strategies to address the challenges of global climate change. The interdisciplinary scope of his research ensures that it remains relevant across multiple domains, including physics, engineering, and environmental sciences.

Award

Prof. Ning Huang has been recognized for his impactful contributions to scientific knowledge through awards, distinctions, and acknowledgments within the academic community. His research excellence is reflected in strong citation metrics, successful grant funding, and invitations to participate in high-level academic forums. These recognitions highlight not only his productivity as a researcher but also his role in advancing environmental and geophysical sciences at a global level. His achievements stand as evidence of his commitment to producing research that is both innovative and practical, providing solutions to real-world environmental problems.

Selected Publication

  • “Aeolian sand transport: A review” published in 2011 with 410 citations.

  • “Numerical simulation of snow flow and avalanche dynamics” published in 2007 with 220 citations.

  • “The mechanism of dust emission and its environmental implications” published in 2010 with 185 citations.

  • “Modeling wind-blown sand movement using computational fluid dynamics” published in 2009 with 160 citations.

Conclusion

Prof. Ning Huang is a highly accomplished academic whose contributions to snow physics, aeolian processes, and environmental fluid mechanics have established him as a leader in his field. His education provided the foundation for his innovative work, while his professional experience has been marked by extensive research output, international collaboration, and academic leadership. His research interests align closely with global priorities, offering valuable insights into climate change, hazard reduction, and sustainable environmental management. Recognized for his impactful publications and scientific influence, Prof. Ning Huang represents a model candidate for distinguished academic awards. His dedication to advancing scientific understanding, coupled with his commitment to mentoring future researchers, underscores his lasting impact on both the scientific community and society at large.