Peik Foong Yeap | Artificial Intelligence | Best Academic Researcher Award

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Dr. Peik Foong Yeap | Artificial Intelligence | Best Academic Researcher Award

Senior Lecturer at University of Newcastle | Singapore

Dr. Yeap Peik Foong is a distinguished academic and researcher whose career reflects a deep commitment to advancing knowledge in strategic management, organisational development, cross-cultural management, sustainability practices, and innovation within higher education and industry. Renowned for her interdisciplinary perspective, she has contributed extensively to scholarly literature through impactful journal articles, book chapters, and international conference presentations that explore themes such as digital transformation, human–AI collaboration, leadership effectiveness, consumer behaviour, knowledge management, environmental sustainability, and community-based tourism. Her work is recognized for its ability to merge theoretical frameworks with real-world applications, offering insights that guide policy development, organisational strategy, and educational leadership. She has played influential roles in shaping academic programs, strengthening research culture, and supporting curriculum innovation, while also contributing actively as a reviewer, editorial board member, and examiner for reputable journals, conferences, and institutions worldwide. Her research leadership is further demonstrated through her involvement in numerous funded projects that address emerging challenges in digital well-being, workplace resilience, global responsibility, cybersecurity, internationalisation of higher education, and interorganisational collaboration. Known for her mentorship and supervision of postgraduate candidates, she has supported research that spans management, marketing, organisational behaviour, and industry-specific strategic studies, helping shape future scholars and professionals. Her consistent engagement with global academic communities, coupled with her ability to foster collaborative networks, reflects her dedication to elevating research standards and promoting sustainable, innovative, and culturally aware practices across sectors. Dr. Yeap’s body of work positions her as a respected thought leader whose scholarly contributions and service continue to influence contemporary debates and future directions in management, education, and organisational sustainability.

Profile: Scopus

Featured Publications

Ha, H., Yeap, P. F., Loh, H. S., & Pidani, R. (2025). Environmental sustainability and CSR practices by banks in Indonesia, Malaysia, and Singapore.

Tan, K. L., Yeap, P. F., Cheong, K. C. K., & Shanu, R. (2025). Crafting an organizational strategy for the new era: A qualitative study of artificial intelligence transformation in a homegrown Singaporean hotel chain.

Tan, K.-L., Loganathan, S. R., Pidani, R. R., Yeap, P.-F., Ng, D. W. L., Chong, N. T. S., Liow, M. L. S., Cheong, K. C.-K., & Yeo, M. M. L. (2024). Embracing imperfections: A predictive analysis of factors alleviating adult leaders’ digital learning stress on Singapore’s lifelong learning journey.

Yeap, P. F., & Liow, M. L. S. (2023). Tourist walkability and sustainable community-based tourism: Conceptual framework and strategic model.

Ong, H. B., Chong, L. L., Choon, S. W., Tan, S. H., Yeap, P. F., & Kasuma, N. M. H. (2022). Retaining skilled workers through motivation: The Malaysian case.

Lee, Y. W., Dorasamy, M., Ahmad, A. A., Jambulingam, M., Yeap, P. F., & Harun, S. (2021). Synchronous online learning during movement control order in higher education institutions: A systematic review.

Yousef Asadi | Artificial Intelligence | Best Paper Award

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Mr. Yousef Asadi | Artificial Intelligence | Best Paper Award

Master Degree at Bu Ali Sina University | Iran

Mr. Yousef Asadi is a dedicated electrical engineer and researcher whose academic and professional pursuits center on advancing power systems, smart grids, and sustainable energy technologies. With a master’s degree in electrical engineering specializing in power systems from Buali Sina University, his expertise bridges theoretical insight with practical application in energy optimization, control, and artificial intelligence. His scholarly contributions have significantly enriched the field, with impactful publications in top-tier journals such as the Journal of Energy Storage, International Journal of Electrical Power & Energy Systems, Energies, Applied Sciences, and IEEE Access. His works focus on developing intelligent frameworks for energy management, universal models for power converters, and adaptive neural control techniques for active power filters—reflecting a strong interdisciplinary command of power electronics, control theory, and computational intelligence. Asadi’s research interests span microgrid stability, distributed generation, and reinforcement learning-based optimization, positioning him at the forefront of innovation in clean and resilient energy systems. His experiences in teaching, software-hardware setup, and internships across power distribution and aviation electronics have strengthened his technical and analytical capabilities. Fluent in English, Persian, and Kurdish, he demonstrates effective communication across diverse professional environments. Known for his proficiency in MATLAB, Python, and electrical design software, he applies computational modeling and automation to solve real-world energy challenges. His continuous pursuit of advanced, sustainable solutions reflects a commitment to bridging academia and industry for the development of smarter, more efficient energy infrastructures. Through his research and technical acumen, Yousef Asadi exemplifies a new generation of engineers dedicated to transforming the global energy landscape through innovation and intelligent system design.

Profile: Scopus

Featured Publications

Mansouri, M., Eskandari, M., Asadi, Y., & Savkin, A. (2024). A cloud-fog computing framework for real-time energy management in multi-microgrid system utilizing deep reinforcement learning.

Asadi, Y., Eskandari, M., Mansouri, M., Moradi, M. H., & Savkin, A. V. (2023). A universal model for power converters of battery energy storage systems utilizing the impedance-shaping concepts.

Asadi, Y., Eskandari, M., Mansouri, M., Savkin, A. V., & Pathan, E. (2022). Frequency and voltage control techniques through inverter-interfaced distributed energy resources in microgrids

Asadi, Y., Eskandari, M., Mansouri, M., Chaharmahali, S., Moradi, M. H., & Tahriri, M. S. (2022). Adaptive neural network for a stabilizing shunt active power filter in distorted weak grids.

Mansouri, M., Eskandari, M., Asadi, Y., Siano, P., & Alhelou, H. H. (2022). Pre-perturbation operational strategy scheduling in microgrids by two-stage adjustable robust optimization.