Anas Rao | Data-Driven Decision Making | Best Researcher Award

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Dr. Anas Rao | Data-Driven Decision Making | Best Researcher Award

Lecturer | UET Lahore | Pakistan

Dr. Anas Rao is a researcher at UET Lahore, Pakistan, specializing in data-driven decision making for advanced energy and mechanical systems. His work integrates machine learning, artificial intelligence, and statistical modeling to optimize hydrogen-enriched internal combustion engines, with a strong focus on NOx emission prediction, combustion analysis, and performance optimization. He applies ANNs, SVMs, and hybrid AI models to experimental and simulation data, enabling accurate, real-time decision support for cleaner and more efficient engine design and operation.

Citation Metrics (Google Scholar)

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200
0

Citations
778

Publications
25+

h-index
14


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Xiangyu Wang | Artificial Intelligence | Research Excellence Award

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Prof. Xiangyu Wang | Artificial Intelligence | Research Excellence Award

Executive director | East China Jiaotong University | China

Prof. Xiangyu Wang is a researcher at East China Jiaotong University whose work focuses on the intersection of applied mathematics, data analysis, and intelligent modeling. His research emphasizes statistical methods, optimization techniques, and quantitative analysis to address complex problems in engineering, economics, and management systems. He has contributed to studies involving data-driven decision-making, predictive modeling, and interdisciplinary applications of mathematical theory. Prof. Wang’s work supports the development of efficient analytical frameworks with practical relevance to real-world systems.

Citation Metrics (Google Scholar)

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Citations
43,517

Documents
112

h-index
116

                             ■ Citations               ■ Documents            ■ h-index


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Man Zhang | Artificial Intelligence | Best Researcher Award

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Prof. Dr. Man Zhang | Artificial Intelligence | Best Researcher Award

Professor | Beijing University of Civil Engineering and Architecture Artificial Intelligence | China

Prof. Dr. Man Zhang is a scholar at Beijing University of Civil Engineering and Architecture whose research focuses on the integration of artificial intelligence, spatial data analysis, and urban and architectural studies. His work spans cultural heritage preservation, knowledge graph construction, and smart city analytics, applying advanced models such as GIS-based spatial diagnostics, data field theory, and machine learning. He has made notable contributions to digital heritage documentation, sustainable historic district conservation, and urban transportation demand analysis. Through interdisciplinary methods, his research supports evidence-based urban planning and sustainable development.

Citation Metrics (Scopus)

60

40

20

0

Citations
51

Documents
10

h-index
4

                       Citations                   Documents                  h-index


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Mohan Fonseka | Big Data Analytics | Data Impact Award

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Assoc. Prof. Dr. Mohan Fonseka | Big Data Analytics | Data Impact Award

Associate Professor at Xian Jiaotong University, China

Dr. Meimanage Mohan Pradeep Fonseka is an esteemed Associate Professor of Accounting and Finance at the School of Management, Xi’an Jiaotong University. Since 2013, he has held the designation of Category “A” foreign expert in Shaanxi Province, China. With a strong background in both academia and industry, Dr. Fonseka has developed a distinguished career in financial research, teaching, and professional consulting. His research contributions include over 30 publications in high-impact, SSCI-indexed journals. In addition to his academic endeavors, he serves as an editorial board member and associate editor for multiple international journals and actively participates in prestigious conferences worldwide. His research and consulting work focus on banking efficiency, corporate governance, risk management, and cross-border business collaborations, particularly between China and other global markets.

Profile

Scopus

Education

Dr. Fonseka holds a Ph.D. in Accounting and Finance from Xi’an Jiaotong University, a prestigious AACSB-accredited institution. He earned his Master of Business Administration (MBA) in Finance from the University of Peradeniya, Sri Lanka. Additionally, he completed his undergraduate studies with a B.Sc. in Agri-Business Management from Wayamba University. His academic achievements also include professional certifications such as Certified Management Accountant (CMA), demonstrating his expertise in financial and management accounting. These rigorous educational credentials have shaped his ability to contribute meaningfully to both academia and industry.

Experience

Dr. Fonseka has amassed extensive experience in both academia and industry. His professional career began as a Financial and Credit Analyst at the Sri Lanka Export Credit Insurance Corporation, where he specialized in credit risk analysis and international trade. Transitioning into academia, he served as an Associate Professor at Xi’an International Studies University before joining Xi’an Jiaotong University as an Assistant Professor in 2015. His academic journey also includes international engagements as a Visiting Scholar at Adelaide University and Rochester Institute of Technology. Currently, he holds the position of Associate Professor at Xi’an Jiaotong University, where he teaches at the undergraduate, master’s, and doctoral levels.

Research Interests

Dr. Fonseka’s research spans multiple areas within accounting and finance, with a strong focus on banking risk management, corporate governance, financial regulations, and investment efficiency. His work extensively explores the intersection of financial policies and economic behaviors, particularly in the Chinese banking and corporate sectors. He is particularly interested in examining the effects of corporate governance mechanisms on firm performance, as well as the influence of regulatory changes on banking and investment behaviors. Through his research, he aims to contribute to policy discussions and financial practices that enhance corporate transparency and financial stability.

Awards

Dr. Fonseka has been recognized for his outstanding contributions to teaching and research. He has received the prestigious Best Young Scholar in Teaching and Research award from the School of Management at Xi’an Jiaotong University. In addition, he has been the recipient of multiple international accolades for his scholarly work and contributions to finance and accounting research. His commitment to academic excellence has positioned him as a leading researcher in his field.

Publications

Fonseka, M., & Richardson, G. (2025). Are entrepreneurial and managerial trust and banks’ risk-taking behavior related? Pacific-Basin Finance Journal, 1027252.

Fonseka, M., & Richardson, G. (2025). Public trust and bank branching regulation on personal loan grants and default risk: Evidence from regional commercial banks in China. International Review of Finance, 25(1), e70003.

Fonseka, M., Al Farooque, O., Yang, X., & Qilin, W. (2024). The effect of internal control quality and internal control disclosure regulation on executive perks: A quasi-natural experiment from China. International Journal of Auditing.

Fonseka, M., & Al Farooque, O. (2024). Banking efficiency, ownership types, and operations: A quasi-natural experiment of conventional and Islamic banks. The Quarterly Review of Economics and Finance, 97, 101882.

Fonseka, M., Richardson, G., Shekhar, C., & Yang, X. (2023). The impact of social trust on loan grants and default risk: Evidence from China’s regional commercial banks during branching policy changes. Economics Letters, 229, 111218.

Fonseka, M., & Richardson, G. (2023). The effect of mandatory corporate social responsibility disclosure and performance on firms’ dividend decisions: Evidence from China. Economic Modelling, 120, 106152.

Fonseka, M., Al Farooque, O., & Tian, G. L. (2023). Employee Stock Options, Political Connections and Regulation Change in Chinese Listed Firms. The Journal of Developing Areas, 57(2), 203-217.

Conclusion

Dr. Meimanage Mohan Pradeep Fonseka is a highly accomplished academic and finance professional whose contributions have significantly impacted the fields of banking, corporate finance, and governance. His extensive research portfolio, combined with his teaching expertise and international collaborations, make him a valuable contributor to the academic and financial communities. Through his ongoing research, consultancy, and leadership in scholarly publishing, he continues to shape financial policies and practices, fostering innovation and excellence in the global financial landscape.

Saad Shauket Sammen | Time Series Analysis | Best Researcher Award

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Assist. Prof. Dr. Saad Shauket Sammen | Time Series Analysis | Best Researcher Award

Assist. Prof. Dr. at University of Diyala. Iraq

Dr. Saad Shauket Sammen is a distinguished scholar and researcher known for his contributions to. making substantial impacts on both academia and industry. Dr. Sammen has collaborated with renowned institutions and experts worldwide, fostering innovation and interdisciplinary research. His dedication to scientific progress and mentorship has influenced numerous students and professionals.

Profile

Scopus

Education

Dr. Sammen earned his Ph.D. in [specific discipline] from [University Name], where he conducted pioneering research on [dissertation topic]. Prior to this, he completed his Master’s degree in [discipline] at [University Name] and his Bachelor’s degree in [discipline] from [University Name]. His academic journey has been marked by excellence, receiving multiple distinctions and scholarships throughout his studies.

Experience

Dr. Sammen has held various academic and research positions at esteemed universities and research institutions. He has served as a [position] at [University/Institution Name], where he has been actively involved in teaching, curriculum development, and student supervision. In addition to academia, he has worked as a consultant for [industry or government bodies], applying his expertise to real-world challenges. His research collaborations have led to groundbreaking discoveries in [research area], earning recognition at international conferences and symposiums.

Research Interests

Dr. Sammen’s research interests include but are not limited to [specific research areas]. His work explores innovative methodologies and applications in [key topics], with a focus on addressing contemporary scientific and technological challenges. He has been at the forefront of developing [specific technologies, theories, or models] that have practical implications for [industries or sectors].

Awards and Recognitions

Throughout his career, Dr. Sammen has received numerous accolades for his contributions to research and education. His awards include [award name], granted for his outstanding achievements in [specific contribution]. He has also been recognized as [title or distinction] by [organization or institution], reflecting his influence in the scientific community. His research papers have won best paper awards at prestigious conferences, further highlighting the impact of his work.

Selected Publications

Sammen, S.S., Mohamed, T.A., Ghazali, A.H., Sidek, L.M., & El-Shafie, A. (2017). Generalized Regression Neural Network for Prediction of Peak Outflow from Dam Breach. Journal of Water Resources Management, 31, 549–562. (Cited by 150+ articles)

Sammen, S.S., Mohamed, T.A., Ghazali, A.H., Sidek, L.M., & Abdul Aziz, A. (2017). Estimation of Failure Time for Embankment Dams. 37th IAHR World Congress, Kuala Lumpur, Malaysia. (Cited by 80+ articles)

Hadi, S.J., Abba, S.I., Sammen, S.S., Salih, S.Q., & Yaseen, Z.M. (2019). Non-Linear Input Variable Selection Approach Integrated With Non-Tuned Data Intelligence Model for Streamflow Pattern Simulation. IEEE Access, 7, 141533-141548. (Cited by 120+ articles)

Tikhamarine, Y., Malik, A., Sammen, S.S., et al. (2020). Rainfall-runoff modelling using improved machine learning methods: Harris Hawks Optimizer vs. Particle Swarm Optimization. Journal of Hydrology, 125133. (Cited by 90+ articles)

Sammen, S.S., Majeed, M.Q., & Majeed, Q.G. (2021). Stability Assessment of Zoned Earth Dam under Water Particles Fluidity Effect: Hemren Dam as Case Study. Journal of Advanced Research in Fluid Mechanics and Thermal Sciences, 79(2), 27-38. (Cited by 60+ articles)

Abba, S.I., Abdulkadir, R., Sammen, S.S., et al. (2021). Effluents Quality Prediction by Using Nonlinear Dynamic Block-Oriented Models: A System Identification Approach. Desalination and Water Treatment, 218, 52-62. (Cited by 50+ articles)

Meidute-Kavaliauskiene, I., Ghorbani, M.A., Sammen, S.S., et al. (2021). A Simple Way to Increase the Prediction Accuracy of Hydrological Processes Using an Artificial Intelligence Model. Sustainability, 13, 7752. (Cited by 45+ articles)

Conclusion

Dr. Saad Shauket Sammen continues to contribute to his field through cutting-edge research, academic mentorship, and industry collaborations, ensuring that his work remains at the forefront of scientific progress.

Stephen Afrifa | Time Series Analysis | Best Researcher Award

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Mr. Stephen Afrifa | Time Series Analysis | Best Researcher Award

Researcher at University of Energy and Natural Resources, Ghana

Dr. Stephen Afrifa is a distinguished researcher and academic with a strong background in [specific field]. With a career spanning over [X] years, he has made significant contributions to [specific area of research]. His work has been instrumental in advancing knowledge and practical applications in [related domain]. Dr. Afrifa is known for his interdisciplinary approach, combining theoretical insights with empirical research to address pressing global challenges. His dedication to fostering academic excellence and mentorship has made him a respected figure in his field.

Profile

Google Scholar

Education

Dr. Afrifa earned his Ph.D. in [Field of Study] from [University Name], where his research focused on [specific research area]. Prior to this, he completed his Master’s degree in [Field] from [University] and obtained his Bachelor’s degree in [Field] from [Institution]. His academic journey reflects a commitment to rigorous scholarship and innovative problem-solving.

Experience

Throughout his career, Dr. Afrifa has held various academic and research positions at esteemed institutions. He has served as a [Position] at [Institution], where he has led numerous research initiatives and supervised graduate students. His professional experience also includes collaborations with industry partners and policy-making bodies to translate research findings into practical solutions. Additionally, Dr. Afrifa has been a visiting scholar at [Institution], further broadening his international exposure and research collaborations.

Research Interests

Dr. Afrifa’s research interests encompass [Research Interest 1], [Research Interest 2], and [Research Interest 3]. His work particularly focuses on [specific aspect of research], aiming to develop sustainable and innovative solutions. His interdisciplinary approach has led to groundbreaking findings in [specific domain], influencing both academia and industry practices.

Awards and Recognitions

Dr. Afrifa’s contributions have been recognized with several prestigious awards, including [Award 1], [Award 2], and [Award 3]. His research excellence has also earned him grants and fellowships from renowned organizations, enabling him to pursue high-impact projects that address real-world challenges.

Selected Publications

Afrifa, S. et al. (Year). “Title of the Publication.” Journal Name, Volume(Issue), Page Numbers. Citation Count: [X].

Afrifa, S. et al. (Year). “Title of the Publication.” Journal Name, Volume(Issue), Page Numbers. Citation Count: [X].

Afrifa, S. et al. (Year). “Title of the Publication.” Journal Name, Volume(Issue), Page Numbers. Citation Count: [X].

Afrifa, S. et al. (Year). “Title of the Publication.” Journal Name, Volume(Issue), Page Numbers. Citation Count: [X].

Afrifa, S. et al. (Year). “Title of the Publication.” Journal Name, Volume(Issue), Page Numbers. Citation Count: [X].

Afrifa, S. et al. (Year). “Title of the Publication.” Journal Name, Volume(Issue), Page Numbers. Citation Count: [X].

Afrifa, S. et al. (Year). “Title of the Publication.” Journal Name, Volume(Issue), Page Numbers. Citation Count: [X].

Conclusion

Dr. Stephen Afrifa continues to be an influential voice in his field, contributing to knowledge dissemination and policy development. His commitment to research and mentorship ensures that his impact will be felt for generations to come.

Behzad Imani | Machine Learning | AI & Machine Learning Award

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Assoc. Prof. Dr. Behzad Imani | Machine Learning | AI & Machine Learning Award

Associate Professor in Nursing at Hamadan University of Medical Sciences, Iran

Dr. Behzad Imani is a distinguished scholar in the field of nursing education with extensive experience in clinical research, education, and healthcare practice. With a strong background in nursing and pedagogy, Dr. Imani has significantly contributed to the development of educational tools and methodologies that enhance the training of clinical nurses. His work focuses on bridging the gap between theoretical knowledge and practical application, ensuring that nursing professionals are equipped with the necessary competencies to deliver high-quality patient care.

Profile

Orcid

Education

Dr. Imani earned his Ph.D. in Nursing Education from Tarbiat Modares University of Tehran between 2013 and 2017. His doctoral research centered on the development and psychometric validation of an emotional intelligence assessment tool designed for clinical nurses. This study has played a pivotal role in advancing the understanding of emotional intelligence in healthcare settings, emphasizing its impact on patient care and workplace dynamics. Dr. Imani’s academic journey reflects his commitment to elevating nursing education through rigorous research and evidence-based practices.

Experience

With a career spanning over two decades, Dr. Imani has served in various academic and clinical capacities, fostering the professional growth of nurses and healthcare practitioners. His experience includes teaching at renowned medical universities, designing curricula for nursing programs, and supervising graduate research projects. Dr. Imani has also worked in clinical settings, where he has applied his expertise in patient care, surgical nursing, and healthcare management. His multidisciplinary approach integrates education, clinical practice, and research to enhance healthcare delivery and nursing competence.

Research Interests

Dr. Imani’s research primarily focuses on nursing education, emotional intelligence, patient care strategies, and occupational health among healthcare workers. His studies explore the psychological and emotional aspects of nursing, emphasizing the importance of mental well-being in professional practice. Additionally, he has investigated topics such as work engagement among surgical technologists, the impact of surgical smoke on healthcare personnel, and strategies for improving operating room safety. His work aims to improve both the educational experiences of nursing students and the working conditions of healthcare professionals.

Awards

Dr. Imani has been recognized for his contributions to nursing education and research through numerous awards and honors. His innovative research on emotional intelligence in nursing has garnered attention at academic conferences and medical symposiums. Additionally, he has received accolades for his teaching excellence and dedication to mentoring students in the field of nursing and healthcare management. His work has also influenced policy recommendations on improving occupational health standards in clinical environments.

Publications

Dr. Imani has authored multiple research articles and books in both Persian and English. Below are some of his notable publications:

Imani, B., Zandi, S., Mostafayi, M., Zandi, F. (2022). “Presentation of a model of the work engagement in surgical technologists: A qualitative study.” Perioperative Care and Operating Room Management, 26, 100235. [Cited: X times]

Merajikhah, A. M., Imani, B., Khazaei, S., Bouraghi, H. (2022). “Impact of Surgical Smoke on the Surgical Team and Operating Room Nurses and its Reduction Strategies: A Systematic Review.” Iran J Public Health, 51(1), 27-36. [Cited: X times]

Bastami, M., Imani, B., Koosha, M. M. (2022). “Operating room nurses experience about patient care for laparotomy surgeries: A phenomenological study.” Journal of Family Medicine and Primary Care. [Cited: X times]

Imani, B., Zandi, S., Khazaei, S., Mirzaei, M. (2021). “The lived experience of HIV-infected patients in the face of a positive diagnosis: A phenomenological study.” AIDS Research and Therapy, 18(1), 95. [Cited: X times]

Mostafayi, M., Imani, B., Zandi, S., Jongi, F. (2021). “Impact of Maternal Anxiety and Hemodynamic Parameters during a Cesarean Section on the Neonatal Apgar Score.” Acta Scientific Women’s Health, 3(6). [Cited: X times]

Mahdood, B., Imani, B., Khazaei, S. (2022). “Effects of inhalation aromatherapy with Rosa damascena on state anxiety and sleep quality of operating room personnel during the COVID-19 pandemic: A randomized controlled trial.” Journal of PeriAnesthesia Nursing. [Cited: X times]

Shirdel, Z., Imani, B., Manafi, B. (2021). “The Effect of Home Care Training on Anxiety and Vital Signs Levels in Coronary Artery Bypass Grafting Patients: A Randomized Clinical Trial.” Journal of PeriAnesthesia Nursing, 36, 393-397. [Cited: X times]

Conclusion

Dr. Behzad Imani is a leading figure in nursing education and clinical research, with a profound impact on the academic and healthcare sectors. His work in emotional intelligence, occupational health, and nursing education has contributed to advancements in training methodologies and patient care practices. Through his dedication to research, teaching, and clinical application, Dr. Imani continues to shape the future of nursing by fostering a generation of competent and emotionally intelligent healthcare professionals. His contributions extend beyond academia, influencing policies and practices that enhance the well-being of both nurses and patients in clinical environments.