Chunyuan Yang | Economics, Econometrics and Finance | Best Research Award

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Mr. Chunyuan Yang | Economics, Econometrics and Finance | Best Research Award

Qujing Normal University | China

Mr. Chunyuan Yang is an emerging researcher in the field of Artificial Intelligence and computational design, contributing to the intersection of aesthetics, lighting, and intelligent systems. With an h-index of 1, 3 research documents, and 4 citations to his credit, his academic work reflects growing recognition in the AI-driven design domain. His recent publication, “An Aesthetic Modeling Model for Indoor Lighting in Artificial Intelligence Design under Color Contrast Conditions” in Procedia Computer Science (2025), explores innovative approaches to optimizing indoor lighting through AI-based modeling, focusing on the relationship between color contrast and visual perception. Mr. Yang’s research emphasizes the fusion of artificial intelligence with architectural and environmental aesthetics, enhancing user-centered design through computational creativity. His studies demonstrate the potential of machine learning algorithms to improve spatial quality and energy efficiency in interior environments. Through a multidisciplinary approach, he contributes to advancing intelligent lighting design, sustainable architecture, and human-centric computational modeling. His growing academic footprint highlights a promising trajectory in applied AI research within design and computational aesthetics.

Profile: Scopus

Featured Publication

Zhao, J., & Yang, C. (2025). An aesthetic modeling model for indoor lighting in artificial intelligence design under color contrast conditions. Procedia Computer Science, 262, 620–628.

 

Behzad Nemati Saray | Mathematics | Best Researcher Award

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Assoc. Prof. Dr. Behzad Nemati Saray | Mathematics | Best Researcher Award

Institute for Advanced Studies in Basic Sciences (IASBS) | Iran

Assoc. Prof. Dr. Behzad Nemati Saray is a distinguished mathematician whose research spans numerical analysis, applied mathematics, and computational methods. With an impressive record of 840 citations, h-index of 17, and i10-index of 22, his work demonstrates significant academic influence, particularly in developing efficient algorithms and multiwavelet-based methods for solving differential and integro-differential equations. He has published over 30 refereed journal papers and numerous conference articles that address complex mathematical problems, including fractional equations, Burgers equations, and Sturm–Liouville systems. As a reviewer for MathSciNet (AMS) and an active contributor to international mathematical conferences, he has earned recognition for his leadership roles, such as Director-in-Charge of the Seasonal School in Mathematics at IASBS and Executive Board member in academic seminars. His scholarly excellence was acknowledged when he was named Best Researcher of the Year (2023) at the Institute for Advanced Studies in Basic Sciences (IASBS). Dr. Saray’s contributions to the fields of computational mathematics and applied analysis continue to advance numerical modeling, multiscale methods, and spectral techniques, making his research a cornerstone for future developments in applied and computational mathematics. His sustained impact reflects a deep commitment to innovation and precision in mathematical sciences.

Profiles : Scopus | Orcid | Google Scholar

Featured Publications

Liu, T., Ding, B., Nemati Saray, B., Juraev, D. A., & Elsayed, E. E. (2025). On the pseudospectral method for solving the fractional Klein–Gordon equation using Legendre cardinal functions. Fractal and Fractional, 9(3), 177. Multidisciplinary Digital Publishing Institute.

Shi, L., Nemati Saray, B., & Soleymani, F. (2024). Sparse wavelet Galerkin method: Application for fractional Pantograph problem. Journal of Computational and Applied Mathematics, 116081.

Liu, T., Xue, R., Ding, B., Juraev, D. A., Nemati Saray, B., & Soleymani, F. (2024). A novel and effective scheme for solving the fractional telegraph problem via the spectral element method. Fractal and Fractional, 8(12), 711. Multidisciplinary Digital Publishing Institute.

Ranjbari, S., Baghmisheh, M., Jahangiri Rad, M., & Nemati Saray, B. (2024). On the wavelet Galerkin method for solving the fractional Fredholm integro-differential equations. Computational Methods for Differential Equations.

Tarbiyati, H., & Nemati Saray, B. (2023). Weight initialization algorithm for physics-informed neural networks using finite differences. Engineering with Computers.

Afarideh, A., Dastmalchi Saei, F., & Nemati Saray, B. (2023). Eigenvalue problem with fractional differential operator: Chebyshev cardinal spectral method. Journal of Mathematical Modeling.

Shahriari, M., Nemati Saray, B., Mohammadalipour, B., & Saeidian, S. (2023). Pseudospectral method for solving the fractional one-dimensional Dirac operator using Chebyshev cardinal functions. Physica Scripta.

Pourfattah, E., Jahangiri Rad, M., & Nemati Saray, B. (2023). An efficient algorithm based on the pseudospectral method for solving Abel's integral equation using Hermite cubic spline scaling bases. Applied Numerical Mathematics.

Nemati Saray, B. (2022). On a multiwavelet spectral element method for integral equation of a generalized Cauchy problem. BIT Numerical Mathematics.

Nemati Saray, B. (2021). Pseudospectral method for solving fractional Sturm-Liouville problem using Chebyshev cardinal functions. Physica Scripta.

Nemati Saray, B. (2021). Abel’s integral operator: Sparse representation based on multiwavelets. BIT Numerical Mathematics.

Nemati Saray, B. (2021). On the sparse multiscale representation of 2-D Burgers equations by an efficient algorithm based on multiwavelets. Numerical Methods for Partial Differential Equations.

Nemati Saray, B. (2020). On the sparse multi-scale solution of the delay differential equations by an efficient algorithm. Applied Mathematics and Computation.

Nemati Saray, B. (2020). Reconstruction of the Sturm-Liouville differential operators with discontinuity conditions and a constant delay. Indian Journal of Pure and Applied Mathematics.

Nemati Saray, B. (2020). Heat and mass transfer investigation of MHD Eyring–Powell flow in a stretching channel with chemical reactions. Physica A: Statistical Mechanics and its Applications.

Nemati Saray, B. (2020). Sparse multiscale representation of Galerkin method for solving linear-mixed Volterra-Fredholm integral equations. Mathematical Methods in the Applied Sciences.

Muhammad Tahir | Mathematics | Young Scientist Award

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Dr. Muhammad Tahir | Mathematics | Young Scientist Award

Gomal University | Pakistan

Dr. Muhammad Tahir is an emerging researcher and academic in the field of applied mathematics, with expertise spanning numerical analysis, fuzzy logic, artificial intelligence, and decision-making systems. He has served as a Lecturer in Mathematics at Beacon Light College, Pakistan, and as a Teaching Assistant at the Islamia University of Bahawalpur, where he contributed to curriculum development and quality enhancement initiatives. Dr. Tahir holds a Master of Science in Mathematics from the Islamia University of Bahawalpur, where his thesis focused on the “Numerical Study of Deformation of Bubbles Using Phase-Field Models with Decoupling Technique.” His research portfolio includes several high-impact publications in reputed journals such as Applied Soft Computing, European Journal of Pure and Applied Mathematics, and Engineering Applications of Artificial Intelligence. His studies cover topics like fuzzy set theory, cryptographic security, cyber risk mitigation, environmental sustainability, and multi-criteria decision-making. Dr. Tahir’s recent works emphasize hybrid intelligence frameworks, machine learning-integrated decision systems, and quantum-resistant cryptography. He has presented his research at international conferences in Turkey, demonstrating his commitment to interdisciplinary collaboration and computational innovation. His scholarly contributions continue to advance soft computing, mathematical modeling, and intelligent decision-making for industrial and environmental applications.

Profiles : Scopus | Orcid

Featured Publications

Kamran, M., Zhang, Q., Pamucar, D., Tahir, M., & Simic, V. (2025). Enhancing confidence level in decision-making frameworks using Fermatean fuzzy rough sets: Application in Industry 4.0. Applied Soft Computing.

Tahir, M., Kfueit, K., Rasheed, M., Hanan, A., & Shahid, M. I. (2025, October 4). Pythagorean soft sets and hypersoft sets: A comprehensive framework for advanced uncertainty modeling in decision making. Spectrum of Decision Making and Applications.

Luo Kun | Economics, Econometrics and Finance | Best Researcher Award

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Prof. Luo Kun | Economics, Econometrics and Finance | Best Researcher Award

Anhui Normal University | Zimbabwe

Prof. Luo Kun is a distinguished scholar in industrial economics, financial management, and corporate governance, with a notable academic footprint reflected in his h-index of 5, 10 publications, and 125 citations across 122 documents. He earned his Doctorate in Industrial Economics from East China Normal University, following a Master’s in Comparative Education (Education Economics) from Sichuan Normal University and a Bachelor’s degree in Accountancy from the Industrial and Commercial University of Chongqing. Currently serving as a Professor and Doctoral Supervisor at the School of Economics and Management, Anhui Normal University, he has also been a Postdoctoral Fellow at the Shanghai University of Finance and Economics. Prof. Luo’s research primarily explores corporate sustainability, environmental governance, and green transformation in Chinese enterprises. His impactful works, published in top-tier journals such as The British Accounting Review, Sustainable Development, Business Ethics, the Environment & Responsibility, and Corporate Social Responsibility and Environmental Management, highlight the intersection of governance, innovation, and environmental responsibility. Over his career, he has led several key research projects funded by the Ministry of Education and Anhui Province, contributing significantly to advancing corporate ESG practices, behavioral economics, and institutional reforms in higher education and state-owned enterprises.

Profile : Scopus

Featured Publications

Luo, K., Gao, T. Y., Tian, G. G., & Yao, D. F. (2025). Green is the new gold: The role of professional managers in enhancing ESG performance in Chinese state-owned enterprises. The British Accounting Review. (Forthcoming)

Luo, K., & Wang, X. L. (2025). Green investor entry and corporate green transformation: Evidence from Chinese resource-based industry. Resources Policy. (Forthcoming)

Luo, K., Liu, X. Y., Wang, X. L., & Ye, L. (2024). High-speed rail opening and corporate environmental responsibility performance: Analysis of talent aggregation and supervisory pressure. Business Ethics, the Environment & Responsibility. (Forthcoming)

Luo, K., Huang, Y., & Lv, Y. (2024). Non-state shareholder governance and corporate sustainability: Evidence from environmental, social and governance ratings. Sustainable Development, 32(1), 211–226.

Luo, K., & Zhang, K. (2024). Executive's environmental background and sustainable development: Evidence from substantial green innovation. Sustainable Development, 32(5), 4812–4828.

Chen, S., Leng, X., & Luo, K. (2024). Supply chain digitalization and corporate ESG performance. American Journal of Economics and Sociology, 00, 1–27.

Luo, K., Gao, T. Y., & Li, Y. X. (2023). Board authority culture, cultural diversity and corporate innovation. China Journal of Accounting Studies.

Luo, K., & Wu, S. (2022). Corporate sustainability and analysts’ earnings forecast accuracy: Evidence from environmental, social and governance ratings. Corporate Social Responsibility and Environmental Management, 29(5), 1465–1481.

Luo, K., Lim, E., Qu, W., & Zhang, X. (2021). Board cultural diversity, government intervention and corporate innovation effectiveness: Evidence from China. Journal of Contemporary Accounting & Economics, 17(2).

Gwo Dong Lin | Mathematics | Excellence in Research Award

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Prof. Gwo Dong Lin | Mathematics | Excellence in Research Award

Academia Sinica, Institute of Statistical Science | Taiwan

Prof. Gwo Dong Lin is a distinguished statistician and mathematician whose extensive contributions have profoundly influenced the fields of probability theory, moment problems, and life distribution analysis. With an h-index of 18, 71 published documents, and 933 citations from 783 sources, his scholarly output demonstrates both depth and enduring impact. He earned his Ph.D. in Management Science from Tamkang University, following earlier degrees in mathematics from National Taiwan Normal University. Over his career, Prof. Lin served at Academia Sinica’s Institute of Statistical Science, including roles as Deputy Director and Acting Director, and later as Adjunct Research Fellow. He has also directed the Social and Data Science Research Center under the Hwa-Kang Xing-Ye Foundation. His editorial work spans several international journals, and he has been an invited speaker at global conferences organized by the International Statistical Institute and other leading organizations. Recognized as an ISI Elected Member since 1991 and recipient of Taiwan’s Outstanding Research Award (1994–1995), Prof. Lin’s pioneering studies on characterizations of distributions, inequalities for transforms, and moment determinacy continue to shape modern statistical theory and inspire future explorations in applied probability and statistical modeling.

Profile : Scopus

Featured Publications 

Lin, G. D., & Stoyanov, J. (2025). New sufficient conditions for moment-determinacy via probability density tails. Mathematics, 13, 2671.

Dou, X., Kuriki, S., Lin, G. D., & Richards, D. (2025). EM estimation of the B-spline copula with penalized pseudo-likelihood functions. Statistical Papers, 66, 30.

Lin, G. D., & Stoyanov, J. (2024). New characterizations of the Gamma distribution via independence of two statistics by using Anosov’s theorem. Theory of Probability and Its Applications, 69, 745–759 (Russian edition); SIAM version, 69, 592–604.

Hu, C.-Y., & Lin, G. D. (2022). Characterizations of the normal distribution via the independence of the sample mean and the feasible definite statistics with ordered arguments. Annals of the Institute of Statistical Mathematics, 74, 473–488.

Lin, G. D., & Hu, C.-Y. (2022). On the semi-Mittag-Leffler distributions. Probability and Mathematical Statistics, 42, 81–96.

Hu, C.-Y., Lin, G. D., & Stoyanov, J. (2021). Characterization of probability distributions via functional equations of power-mixture type. Mathematics, 9, 271. Also in: L. Shaikhet (Ed.), Prime Archives in Applied Mathematics (2nd ed.). Hyderabad, India: Vide Leaf.

Lin, G. D., & Dou, X. (2021). An identity for two integral transforms applied to the uniqueness of a distribution via its Laplace–Stieltjes transform. Statistics, 55, 365–385.

Dou, X., Kuriki, S., Lin, G. D., & Richards, D. (2021). Dependence structures of B-spline copulas. Sankhyā: The Indian Journal of Statistics, Series A, 83, 238–311.

Lin, G. D., & Hu, C.-Y. (2021). Formulas of absolute moments. Sankhyā: The Indian Journal of Statistics, Series A, 83, 476–495.

Hu, C.-Y., & Lin, G. D. (2020). Necessary and sufficient conditions for unique solution to functional equations of Poincaré type. Journal of Mathematical Analysis and Applications, 491, 124399.

Stoyanov, J. M., Lin, G. D., & Kopanov, P. (2020). New checkable conditions for moment determinacy of probability distributions. Theory of Probability and Its Applications, 65, 634–648 (Russian edition); SIAM version, 65, 497–509.

Lin, G. D., Dou, X., & Kuriki, S. (2019). The bivariate lack-of-memory distributions. Sankhyā: The Indian Journal of Statistics, Series A, 81, 273–297.

Lin, G. D. (2019). On powers of the Catalan number sequence. Discrete Mathematics, 342, 2139–2147.

Hu, C.-Y., & Lin, G. D. (2018). Characterizations of the logistic and related distributions. Journal of Mathematical Analysis and Applications, 463, 79–92.

Lin, G. D. (2017). Recent developments on the moment problem. Journal of Statistical Distributions and Applications, 4, 5.

Lai, C.-D., Lin, G. D., Govindaraju, K., & Pirikahu, S. (2017). A simulation study on the correlation structure of Marshall–Olkin bivariate Weibull distribution. Journal of Statistical Computation and Simulation, 87, 156–170.

Hassan Ramchoun | Mathematics | Best Researcher Award

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Dr. Hassan Ramchoun | Mathematics | Best Researcher Award

Moulay Ismail University | Morocco

Author Profile

Scopus

Early Academic Pursuits

Dr. Hassan Ramchoun’s academic journey reflects a strong foundation in mathematics and computer science. Beginning with his bachelor’s studies in applied mathematics, he progressively advanced through a master’s degree in operations research and statistics, where he explored Bayesian approaches in artificial neural networks for medical imaging. His doctoral research in applied mathematics and computer science further solidified his expertise, focusing on parameter and hyper-parameter estimation in Bayesian neural networks with applications in classification and regression. These early experiences shaped his specialization in applied mathematics, artificial intelligence, and machine learning.

Professional Endeavors

Dr. Ramchoun has built a diverse academic career with teaching, research, and leadership responsibilities. Since joining ENCG Meknès, Moulay Ismail University, as a lecturer, he has also taught at multiple institutions including ENSAM Meknès and the Euro-Mediterranean University of Fès. His teaching portfolio covers a wide spectrum, from probability and statistics to optimization, data analysis, and artificial intelligence. His active engagement in curriculum design, supervision of students, and participation in doctoral juries reflects his deep commitment to higher education and student mentorship.

Contributions and Research Focus

Dr. Ramchoun’s research focuses on applied mathematics, artificial intelligence, and data science, with particular emphasis on Bayesian neural networks, deep learning, optimization, and statistical learning methods. He has contributed to developing new methods for training and optimizing neural networks, incorporating regularization and Bayesian inference. His work extends to multi-objective optimization for neural architectures, convolutional neural networks, and applications in big data analytics. His scholarly contributions are reflected in numerous publications in international journals and conferences, alongside editorial contributions to Springer volumes on artificial intelligence and industrial applications.

Accolades and Recognition

Dr. Ramchoun’s academic excellence has been acknowledged through distinctions such as the CNRST excellence research scholarship and his recognition for doctoral work with high honors. His research output is regularly published in reputed international journals including Neurocomputing, Knowledge-Based Systems, Soft Computing, and Evolving Systems. His active involvement as a reviewer for leading journals and as a member of scientific committees of conferences demonstrates recognition of his expertise by the global scientific community.

Impact and Influence

Through his work, Dr. Ramchoun has significantly influenced both the academic and applied dimensions of artificial intelligence. His innovations in neural network optimization and Bayesian learning methods have advanced understanding in machine learning research, while his teaching and supervision of master’s and doctoral students have contributed to developing future generations of researchers. By bridging theoretical modeling with practical applications, his contributions have relevance not only in academia but also in applied domains such as data science, robotics, and image processing.

Legacy and Future Contributions

The legacy of Dr. Ramchoun lies in his efforts to advance the integration of applied mathematics with artificial intelligence, particularly in deep learning and Bayesian modeling. His involvement in research projects, scientific committees, and international conferences ensures that his contributions extend beyond publications to shaping the field itself. Looking forward, his continued work in optimization techniques, advanced statistical learning, and interdisciplinary applications promises to strengthen the role of artificial intelligence in addressing scientific and industrial challenges.

Publications

  • Article: Convergence of batch gradient descent with learnable smooth masks for pruning feedforward neural networks
    Authors: Quasdane, M., Ramchoun, H., Masrour, T.
    Journal: Neurocomputing
    Year: 2025

  • Article: Enhancing CNN structure and learning through NSGA-II-based multi-objective optimization
    Authors: Elghazi, Khalid, Ramchoun, Hassan, Masrour, Tawfik
    Journal: Evolving Systems
    Year: 2024

  • Article: Implicitly adaptive optimal proposal in variational inference for Bayesian learning
    Authors: Bakhouya, Mostafa, Ramchoun, Hassan, Hadda, Mohammed, et al.
    Journal: International Journal of Data Science and Analytics
    Year: 2024

  • Article: Gaussian Mixture Models for Training Bayesian Convolutional Neural Networks
    Authors: Bakhouya, M., Ramchoun, H., Hadda, M., Masrour, T.
    Journal: Evolutionary Intelligence (Springer)
    Year: 2024

  • Article: Sparse smooth group L0L1/2 regularization method for convolutional neural networks
    Authors: Quasdane, M., Ramchoun, H., Masrour, T.
    Journal: Knowledge-Based Systems
    Year: 2023

Conclusion

Dr. Hassan Ramchoun exemplifies the qualities of a dedicated academic, innovative researcher, and committed educator. His career reflects a balance of teaching excellence, impactful research, and institutional service. With strong foundations in mathematics and expertise in artificial intelligence, his contributions are shaping the evolving landscape of machine learning and data science. His recognition, publications, and leadership in academic communities confirm his standing as an influential figure whose work will continue to resonate in both research and applied domains.

Muhammad Sualeh Khattak | Business, Management and Accounting | Best Researcher Award

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Dr. Muhammad Sualeh Khattak | Business, Management and Accounting | Best Researcher Award

The Hong Kong Polytechnic University | Hong Kong

Author Profile

Scopus

Orcid

Google Scholar

Early Academic Pursuits

Dr. Muhammad Sualeh Khattak laid a strong foundation for his academic journey through dedicated studies in business and finance. Beginning with his undergraduate studies in science, he transitioned toward management and finance, completing a Master of Business Administration with distinction and earning a gold medal for his exceptional performance. His commitment to advancing knowledge led him to pursue higher studies in management sciences and finance at the International Islamic University, Islamabad, where he excelled in both his master’s and doctoral-level research. His academic path reflects a clear trajectory of intellectual growth and an early inclination toward research excellence.

Professional Endeavors

Dr. Khattak’s professional journey has been marked by significant teaching and research contributions across several prestigious institutions. He has served as a lecturer and assistant professor in multiple universities in Pakistan, imparting knowledge in finance, management, and business sciences. His academic expertise further extended beyond borders when he took on a postdoctoral fellowship at The Hong Kong Polytechnic University, a role that underscores his international academic recognition. Through his diverse teaching experiences, he has nurtured students, guided future scholars, and contributed meaningfully to academic discourse in finance and management.

Contributions and Research Focus

At the heart of Dr. Khattak’s career lies a strong commitment to advancing research in finance and management sciences. His work spans critical areas such as corporate finance, financial management, behavioral finance, sustainable development, and intellectual capital. He has made notable contributions to understanding the dynamics between government incentives, corporate social responsibility, managerial competencies, and sustainable competitive performance. His research reflects a blend of theoretical depth and practical relevance, addressing pressing issues faced by small and medium enterprises, emerging economies, and global financial systems.

Accolades and Recognition

Dr. Khattak’s academic brilliance has been recognized through numerous awards and honors. He received a gold medal for securing the top position in his master’s program and was granted a fully funded indigenous scholarship for doctoral research under the Higher Education Commission of Pakistan. His scholarly excellence has also earned him international research opportunities, including the IRSIP scholarship in Canada. Furthermore, his dedication to teaching has been acknowledged through awards such as the Best Teacher Award at Hamdard University. These accolades highlight both his scholarly achievements and his contributions to academia as an educator.

Impact and Influence

The impact of Dr. Khattak’s research extends across academic, professional, and policy-making domains. His publications in well-recognized journals address critical issues in finance, sustainability, and innovation, providing valuable insights for policymakers and business leaders. His teaching and mentorship have influenced countless students, equipping them with analytical skills and research capabilities to excel in the field of finance. By integrating cutting-edge tools such as SPSS, STATA, NVIVO, and AMOS in his research, he has enhanced methodological approaches in financial studies and inspired peers and students alike to adopt innovative techniques.

Legacy and Future Contributions

Dr. Khattak’s legacy is rooted in his dual role as a researcher and educator committed to building sustainable financial knowledge. His extensive publications, teaching expertise, and research collaborations have positioned him as a thought leader in finance and management sciences. Looking ahead, his ongoing postdoctoral research and future academic endeavors promise to shape innovative solutions for sustainable business practices and financial resilience in emerging economies. His career continues to evolve with a focus on integrating interdisciplinary approaches and influencing global academic discourse in finance.

Publications

  • Article: CO₂ detection using microwave metasurface-based antennas covered with carbon nanotubes

  • Authors: Alina Cismaru, Mircea Dragoman, Sergiu Iordănescu, Cosmin Obreja, Valentin Buiculescu, Hamza El Ghannudi, Cătălin Pârvulescu, Damir Mladenovic, Mihaela Carp, Oana Brâncoveanu

  • Journal: Materials Science and Engineering: B

  • Year: 2025

  • Article: Does access to domestic finance and international finance contribute to sustainable development goals? Implications for policymakers

  • Author: Muhammad Sualeh Khattak

  • Journal: Journal of Public Affairs (HEC Recognized X)

  • Year: 2019

  • Article: Probing the impact of intellectual capital on SME efficiency: the role of business model innovation

  • Authors: Muhammad Sualeh Khattak, Qianqian Wu, Muhammad Ahmad, Muhammad Anwar

  • Journal: Journal of Intellectual Capital

  • Year: 2024

  • Article: The role of managerial overconfidence in digital transformation and sustainable competitive performance in emerging SMEs: The role of digital culture

  • Authors: Muhammad Sualeh Khattak, Qianqian Wu, Muhammad Ahmad, Ibraheem Hattab

  • Journal: Business Strategy & Development

  • Year: 2024

  • Article: From cryptos to consciousness: Dynamics of return and volatility spillover between green cryptocurrencies and G7 markets

  • Authors: Saif Ali, Muhammad Naveed, Imran Yousaf, Muhammad Sualeh Khattak

  • Journal: Finance Research Letters

  • Year: 2024

Conclusion

Through his academic pursuits, professional endeavors, and influential research, Dr. Khattak exemplifies the role of a modern scholar dedicated to knowledge creation and societal progress. His work continues to bridge the gap between finance theory and practice, ensuring relevance for both academia and industry. With his ongoing commitment to innovation and sustainability, he stands as a beacon of scholarly leadership, leaving a lasting legacy for future generations of researchers and practitioners in the field of finance.