Mohan Fonseka | Big Data Analytics | Data Impact Award

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.

Noorliza Karia | Big Data Analytics | Best Researcher Award

Prof. Noorliza Karia | Big Data Analytics | Best Researcher Award

Prof Dr. at Chartered Inst. of Logistics and Transportation, Malaysia

Professor Dr. Noorliza Karia, FCILT, is an esteemed academic and expert in logistics, supply chain management, and business operations. With an extensive career spanning research, teaching, and consultancy, she has significantly contributed to the fields of innovation, sustainability, and technology applications in logistics. Currently, she serves as an expert consultant at Guangzhou Sunrun Digital Technology Company Limited and a visiting professor at the Shandong Institute of Commerce and Technology. Over the years, she has played a pivotal role in logistics education, professional accreditation, and scholarly contributions, establishing herself as a leading figure in the industry.

Profile

Scopus

Education

Professor Dr. Noorliza Karia holds a Ph.D. in Management from the University of Hull, United Kingdom, and an MBA from Universiti Sains Malaysia. Her academic journey began with a BSc.BA in Production and Operations Management from the University of Denver, United States of America. Her strong educational foundation has enabled her to integrate theory with practice, making her a thought leader in logistics and operations management.

Experience

With a wealth of experience in academia and industry, Professor Dr. Noorliza Karia has held numerous influential positions. She has served as an expert consultant at Guangzhou Sunrun Digital Technology Company Limited (2024–2027), a visiting professor at the Shandong Institute of Commerce and Technology (2024–2026), and a programme assessor at the University Kuala Lumpur (2024–2026). Additionally, she is a Fellow Chartered member of the Chartered Institute of Logistics and Transport (FCILT). She has contributed to logistics education as an external panelist for logistics programs at Bahrain Polytechnic (2023–2025) and as a member of the Graduate Committee for Higher Degree Programs at Universiti Sains Malaysia (2016–2024). Her leadership roles have included serving as the Section Head for Islamic Finance (2016–2017) and Finance (2016–2017) at Universiti Sains Malaysia. She has also been a coordinator for professional logistics accreditation and a Ph.D. examiner and grant assessor for various institutions since 2013. Her role as a reviewer for high-impact journals further underscores her contributions to academic excellence.

Research Interests

Professor Dr. Noorliza Karia’s research interests encompass innovation, sustainability, technology, logistics, and supply chain management. Her work explores the integration of artificial intelligence in logistics, green supply chain practices, and environmental concerns in business operations. She is deeply involved in research projects focusing on competitive advantage, sustainability, and technological advancements in logistics and business management.

Awards

Professor Dr. Noorliza Karia’s contributions have been recognized with several prestigious awards. She was a finalist in the Business and Innovation category of the Study UK Alumni Award 2024, organized by the British Council. She has also received multiple publication awards, including the Anugerah Sanggar Sanjung Penerbitan awards in 2019 and 2021 and a publication award from the School of Management, Universiti Sains Malaysia in 2020. Her research excellence has been acknowledged with silver and bronze medals at international innovation and design competitions, such as the Penang International Invention, Innovation and Design (PIID) and the Venus International Women Award for Distinguished Women in Management.

Publications

Professor Dr. Noorliza Karia has published extensively in high-impact ISI and SCOPUS-indexed journals. Some of her notable publications include:

Noorliza (2025). “How ESG Performance Promotes Organizational Resilience: The Role of Ambidextrous Innovation Capability and Digitalization.” Business Strategy & Development, 8(1), e70079.

Liew, C.W.S., Ramayah, T., & Karia, N. (2025). “Consumption value and context-specific attributes: The moderating effect of social class on Halal cosmetics purchase intention.” Asia-Pacific Journal of Business Administration, 17(2), 447-468.

Li, J.; Noorliza, K.; Zhang, X. (2024). “Enhancing Environmental, Social, and Governance Performance through New Quality Productivity and Green Innovation.” Sustainability, 16, 4843.

Liew, C.W.S., & Karia, N. (2024). “Halal cosmetics: A technology-empowered systematic literature review.” Journal of Islamic Marketing, 15(7), 1722-1742.

Islam, M., Tseng, M., & Karia, N. (2019). “Assessment of corporate culture in sustainability performance using a hierarchical framework and interdependence relations.” Journal of Cleaner Production, 217, 676-690.

Tseng, Islam, Karia, Fauzi, & Afrin (2019). “A literature review on green supply chain management: Trends and future challenges.” Resources, Conservation and Recycling, 141, 145-162.

Karia, N. (2018). “How knowledge resource does matter in technology and cost advantages of a firm? Evidence from Malaysian logistics sector.” Asian Journal of Technology Innovation, 26(3), 346-368.

Conclusion

Professor Dr. Noorliza Karia’s contributions to logistics, supply chain management, and business operations are profound. Her extensive experience, scholarly contributions, and professional engagements have positioned her as a leader in her field. Her research on sustainability, innovation, and technology continues to shape industry practices and academic discourse. With numerous accolades and impactful publications, she remains committed to advancing knowledge and fostering excellence in logistics and supply chain management.

Petcharaporn Yodjai | Computer Science | Best Researcher Award

Ms. Petcharaporn Yodjai | Computer Science | Best Researcher Award

Ph.D. Student at King Mongkut’s University of Technology Thonburi, Thailand

Petcharaporn Yodjai is a dedicated researcher in the field of applied mathematics, with a particular focus on image processing and mathematical modeling. Currently a Ph.D. candidate at King Mongkut’s University of Technology Thonburi (KMUTT), Bangkok, Thailand, she has made significant contributions to the development of advanced techniques in image inpainting and completion. Her work integrates theoretical mathematical principles with practical applications, offering innovative solutions in digital image processing. Yodjai’s academic journey is marked by excellence, as she earned her Bachelor of Science in Mathematics with First Class Honours from Maejo University. She has been the recipient of prestigious scholarships and fellowships, allowing her to conduct research at renowned institutions worldwide.

Profile

Scopus

Education

Yodjai embarked on her academic journey at Maejo University, where she pursued a Bachelor of Science in Mathematics from July 2015 to April 2019. Her outstanding academic performance earned her First Class Honours. Continuing her passion for applied mathematics, she enrolled in the Ph.D. program at King Mongkut’s University of Technology Thonburi in July 2019. Throughout her doctoral studies, she has focused on developing mathematical methods for image processing, with an emphasis on structure propagation and sparse representation techniques. Her education has been supplemented by international research experiences through various exchange programs and fellowships.

Experience

Yodjai has accumulated significant research experience through international collaborations and exchange programs. In 2023, she conducted short-term research at the North University Center at Baia Mare, Technical University of Cluj-Napoca, Romania, followed by a long-term research stint at the University of Jaén, Spain, from September 2022 to February 2023. Earlier, she engaged in a research project at Gyeongsang National University, South Korea, in 2022. Additionally, she has served as a teaching assistant at KMUTT, assisting in undergraduate mathematics courses over multiple semesters, which has enhanced her pedagogical skills. Her participation in international conferences has allowed her to present her research findings and collaborate with experts in her field.

Research Interests

Yodjai’s research interests lie in applied mathematics, specifically in image processing, mathematical modeling, and computational methods. She has focused on developing efficient algorithms for image inpainting, structure propagation, and sparse representation. Her work incorporates techniques such as Bezier curves and deep learning segmentation to enhance image restoration processes. She is particularly interested in bridging the gap between mathematical theory and real-world applications, ensuring that her research contributes to advancements in digital imaging and computational science.

Awards and Scholarships

Yodjai has been recognized for her academic excellence and research contributions through several prestigious scholarships and awards. She is a recipient of the Royal Golden Jubilee Ph.D. Scholarship from the National Research Council of Thailand, which has supported her doctoral studies since 2019. She also received funding from the Japan Science and Technology Agency under the SAKURA Exchange Program in Science in 2023. Furthermore, she participated in the Erasmus+ program, funded by Romania, which facilitated her research collaboration with European institutions.

Publications

Yodjai, P., Kumam, P., & Martínez-Moreno, J. (2025). Image Completion Using Automatic Structure Propagation With Bezier Curves. Mathematical Methods in the Applied Sciences.

Jirakipuwapat, W., Sombut, K., Yodjai, P., & Seangwattana, T. (2025). Enhancing Image Inpainting With Deep Learning Segmentation and Exemplar-Based Inpainting. Mathematical Methods in the Applied Sciences.

Yodjai, P., Kumam, P., Martínez-Moreno, J., & Jirakitpuwapat, W. (2024). Image inpainting via modified exemplar-based inpainting with two-stage structure tensor and image sparse representation. Mathematical Methods in the Applied Sciences, 47(11), 9027-9045.

Awwal, A. M., Wang, L., Kumam, P., Sulaiman, M. I., Salisu, S., Salihu, N., & Yodjai, P. (2023). Generalized RMIL conjugate gradient method under the strong Wolfe line search with application in image processing. Mathematical Methods in the Applied Sciences, 46(16), 17544-17556.

Yodjai, P., Kumam, P., Kitkuan, D., Jirakitpuwapat, W., & Plubtieng, S. (2019). The Halpern approximation of three operators splitting method for convex minimization problems with an application to image inpainting. Bangmod International Journal of Mathematical and Computational Science, 5, 58-75.

Conclusion

Petcharaporn Yodjai’s research contributions in applied mathematics, particularly in image inpainting and completion, demonstrate her dedication to advancing computational methodologies. Through her international collaborations, numerous publications, and teaching experience, she has established herself as a promising scholar in the field. Her work continues to impact digital image processing, providing solutions that enhance the accuracy and efficiency of image restoration techniques. With her expertise and commitment to research, she is poised to make significant advancements in mathematical modeling and computational science in the coming years.