Kaies Samet | Environmental and Climate Statistics | Best Researcher Award

Assoc Prof. Dr. Kaies Samet | Environmental and Climate Statistics | Best Researcher Award

High Institute of Industrial Management of Sfax | Tunisia

Assoc Prof. Dr. Kaies Samet is a highly accomplished academic and researcher in the field of Economic Sciences, currently serving as Maitre de Conferences at the Institut Superieur de Gestion Industrielle de Sfax, Tunisia, and as an active researcher at the Laboratoire en Economie de Developpement, Faculty of Economics and Management of Sfax. He holds a Doctorate and a University Habilitation in Economic Sciences from the Faculty of Economics and Management of Sfax, earned with distinction. Over his long and dedicated academic career, he has taught at several prominent Tunisian institutions including the Institut Superieur de Gestion de Gabes, Ecole Superieure de Commerce de Sfax, Esprit School of Business, and Universite Centrale de Tunis. His teaching and research cover a wide range of topics such as economic growth, the knowledge economy, digital transformation, innovation systems, decision making models, and regional development. Dr Kaies Samet has authored more than forty five academic publications, including journal articles, book chapters, and conference papers, which together have received over 8 citations, demonstrating his influence in the academic community, with an h index of 2 according to Scopus. His research contributions often bridge theory and practice, addressing the dynamics of technological progress, information systems, and their implications for sustainable economic development in emerging economies. Beyond his research output, he has guided many students in postgraduate programs and collaborated with interdisciplinary teams on projects related to economic intelligence, competitiveness, and policy innovation. Dr. Samet is widely recognized for his analytical rigor, innovative thinking, and commitment to advancing economic education and applied research in Tunisia and abroad. His continuous engagement in academic conferences, seminars, and research collaborations reflects his passion for knowledge dissemination and his vision of building a stronger, innovation driven economy through education, research, and regional development initiatives.

Profiles: Scopus Google Scholar Orcid

Featured Publications

Ben Flah, I., Samet, K., El Ammari, A., & Terzi, C. (2025). Shock and volatility transmissions across global commodity and stock markets spillovers: Empirical evidence from Africa. Journal of Risk and Financial Management, 18(6), 332.

Shujie Chang | Environmental and Climate Statistics | Best Researcher Award

Assoc Prof. Dr. Shujie Chang | Environmental and Climate Statistics | Best Researcher Award

Guangdong Ocean University | China

Assoc Prof. Dr. Shujie Chang is an accomplished Associate Professor and supervisor of master’s students at the College of Ocean and Meteorology, Guangdong Ocean University, China, with extensive experience in atmospheric and climate sciences. His research focuses on understanding the complex interactions between the stratosphere and troposphere, with particular emphasis on gravity wave processes, ENSO dynamics, high-latitude and tropical teleconnections, and the factors influencing stratospheric ozone over the Tibetan Plateau. Dr. Chang has made significant contributions to modeling these interactions using advanced climate and weather simulation models, satellite observations, and data assimilation techniques. He has led multiple major research projects funded by national and provincial foundations, highlighting his leadership and expertise in the field. With over 20 peer-reviewed publications, his research has garnered notable attention, reflected in an h-index of 6 and approximately 85 citations, demonstrating both the impact and relevance of his work. In addition to his research achievements, he has served as a reviewer for numerous scientific journals and as a Guest Editor for the journal Atmosphere. Dr. Chang is also recognized for his dedication to teaching, having received multiple awards for excellence in instruction, and his contributions have been further acknowledged through prestigious honors such as the Guangdong Province Outstanding Young Meteorological Science and Technology Award.

Profiles: Scopus Google Scholar Orcid

Featured Publications

Yinyan Liu | Environmental and Climate Statistics | Best Researcher Award

Dr. Yinyan Liu | Environmental and Climate Statistics | Best Researcher Award

Dr. Yinyan Liu | The University of Sydney | Australia

Dr. Yinyan Liu is a Lecturer at the School of Physics, University of Sydney, where she is shaping the future of sustainable energy systems through teaching, supervision, and impactful research. With an academic foundation that spans China and Australia, she has cultivated deep expertise in the fields of integrated energy systems, distributed renewable technologies, and smart grids. Her professional journey is marked by a seamless blend of academic excellence and industry collaboration, positioning her as a leader in the development of innovative, data-driven solutions to address global energy challenges. She has consistently demonstrated a commitment to advancing decarbonization and decentralization strategies, with her work influencing both research and industry practice. Dr. Liu’s career reflects a unique combination of interdisciplinary knowledge, hands-on industry contributions, and dedication to mentoring the next generation of energy scientists and engineers, making her an inspiring academic who bridges the gap between theory, application, and policy impact.

Profiles

Scopus
Orcid

Education

Dr. Liu has built a strong educational foundation across world-leading institutions. She earned her doctoral degree in Electrical and Information Engineering from the University of Sydney, where her work was supported by prestigious international scholarships. Prior to this, she completed her master’s degree in Control Engineering at Tsinghua University, one of the most respected institutions in China, where she developed a strong analytical base in automation and intelligent systems. She began her academic journey with a bachelor’s degree in Measuring and Controlling Technology and Instrumentation at North China Electric Power University, gaining early exposure to energy systems and power plant operations. Across her studies, she consistently excelled academically, earning scholarships and recognition for outstanding performance. This diverse and rigorous educational pathway equipped her with the knowledge and skills required to contribute to energy transition research, combining engineering foundations with advanced data-driven methods for optimization and sustainability.

Experience

Dr. Liu’s professional experience reflects a blend of academic leadership, applied industry collaboration, and research innovation. She currently serves as a Lecturer at the University of Sydney, where she teaches sustainability analysis, coordinates lectures, and supervises students. Prior to this role, she was a Postdoctoral Research Associate at the University of New South Wales, collaborating with industrial partners and leading projects on energy management and photovoltaic fault detection. She has also contributed as a course developer, research consultant, and casual lecturer, ensuring her expertise informs both academic and professional communities. Earlier in her career, she held roles as an algorithmic engineer in Beijing and as a control engineer in Shanxi, where she optimized distributed control systems and developed deep learning solutions for time-series problems. This broad experience demonstrates her ability to operate at the intersection of academia, research, and industry, driving forward innovations in renewable energy and sustainable system design.

Research Interests

Dr. Liu’s research interests focus on enabling a sustainable and resilient energy future through innovative system modeling, optimization, and data-driven technologies. She specializes in integrated energy systems that combine renewable energy generation, storage, and management to support decarbonization goals. Her work explores distributed renewable energy solutions, such as residential solar-battery systems, community energy sharing, and electric vehicle integration, all of which support decentralization and consumer empowerment in energy markets. In parallel, she develops advanced statistical and machine learning algorithms for applications such as non-intrusive load monitoring, photovoltaic fault detection, and energy price forecasting. This integration of engineering, data science, and sustainability reflects her vision of harnessing interdisciplinary approaches to address climate and energy challenges. Her research not only contributes to theoretical advancements but also creates practical applications that are adopted by industry partners, ensuring that her work has tangible impacts on both society and the global energy transition.

Awards

Dr. Liu has been recognized with multiple awards that highlight her excellence, leadership, and potential. She was selected for the prestigious Rising Stars Women in Engineering Workshop at the Asian Deans’ Forum, a recognition that celebrates emerging leaders in academia. Her doctoral journey was supported by international scholarships and top-up funding from the University of Sydney, where she also received a PhD Completion Award for her outstanding research contributions. Beyond scholarships, she has received recognition for leadership through programs such as the Powerful Women Leadership initiative supported by the Australian Power Institute. Earlier in her career, she was awarded national scholarships during her studies in China, underscoring her consistent academic excellence. These awards reflect her sustained commitment to both personal and professional growth, positioning her as a role model for future women in engineering and energy research. They emphasize her ability to inspire and lead across academic and industrial landscapes.

Publication Top Notes

A methodological review of cost-effective data-driven fault detection and diagnosis in distributed photovoltaic systems

Journal: Applied Energy 
Authors: Yinyan Liu, Earl Duran, Anna Bruce, Baran Yildiz, Bernardo Mendonca Severiano, Ibrahim Anwar Ibrahim, Jonathan Rispler, Chris Martell, Fiacre Rougieux

Economic feasibility and backup capabilities of solar-battery systems for residential customers

Journal: Energy 
Authors: Yinyan Liu, Baran Yildiz

Techno-economic optimization of electric water heater and battery energy storage for residential dwellings with rooftop PV systems

Journal: Energy and Buildings 
Authors: Yinyan Liu, Baran Yildiz

A Flowrate Estimation Method for Gas–Water Two-Phase Flow Based on Multimodal Sensors and Hybrid LSTM-CNN Model

Journal: IEEE Transactions on Instrumentation and Measurement 
Authors: Yuxiao Jiang, Yinyan Liu, Baijin Mao, Xing Lu, Yi Li, Lihui Peng

A Flow Rate Estimation Method for Gas–Liquid Two-Phase Flow Based on Transformer Neural Network

Journal: IEEE Sensors Journal 
Authors: Yuxiao Jiang, Hao Wang, Yinyan Liu, Lihui Peng, Yanan Zhang, Bing Chen, Yi Li

Conclusion

Dr. Yinyan Liu stands out as an emerging leader in renewable energy systems research and education, with a proven track record of academic achievements, industry collaboration, and impactful publications. Her interdisciplinary expertise bridges engineering, data science, and sustainability, ensuring her contributions are both innovative and practical. With recognition through scholarships, awards, and leadership initiatives, she has established herself as a role model for aspiring academics and professionals in the energy sector. Her work continues to advance the global conversation on decarbonization, decentralization, and digitalization of energy systems, offering solutions that empower communities and industries alike. By combining academic excellence with a deep commitment to societal impact, Dr. Liu exemplifies the qualities of a world-class researcher and educator. Her dedication, innovation, and leadership make her an outstanding candidate for award nomination, highlighting her role in shaping a sustainable energy future for generations to come.