Xun Gong | Energy Saving | AI Breakthrough Award

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Assoc. Prof. Dr. Xun Gong | Energy Saving | AI Breakthrough Award

Assoc. Prof. Dr. Xun Gong | Energy Saving | Professor at Jilin University | China

Assoc. Prof. Dr. Xun Gong is a recognized scholar in the field of automotive systems, intelligent transportation, and advanced control engineering. His work integrates innovative control strategies with emerging automotive technologies to enhance efficiency, safety, and sustainability. With strong contributions in connected vehicle control, driver modeling, and energy optimization for hybrid and electric vehicles, he has become a respected academic and collaborator in international research circles. His publications and research outcomes have been widely cited, reflecting his influence across both academic and industrial domains.

Academic Profile:

Scopus

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Education:

Assoc. Prof. Dr. Xun Gong completed his doctoral studies in control engineering, establishing a strong academic foundation that led to his current research expertise. His advanced education has equipped him with the knowledge and analytical skills to address pressing challenges in automotive and control systems. His academic training was reinforced through collaborations with top universities and research centers, enabling him to contribute to multi-institutional projects at the forefront of engineering research.

Experience:

With significant teaching and research experience at Jilin University, Assoc. Prof. Dr. Xun Gong has guided students, researchers, and collaborators in innovative engineering practices. His academic career has been marked by active involvement in cross-disciplinary projects, where he has worked closely with international partners from leading universities and research organizations. Beyond teaching, he has participated in industry-focused initiatives, ensuring the translation of academic research into real-world applications. His professional journey demonstrates a balance of academic rigor, industrial collaboration, and mentorship in the field of engineering.

Research Interest:

The research interests of Assoc. Prof. Dr. Xun Gong encompass intelligent transportation systems, predictive modeling, and advanced automotive control. His work focuses on vehicle stability, energy management, and eco-trajectory planning to enhance the performance of hybrid and electric vehicles. He is also deeply engaged in connected vehicle technologies, emphasizing driver modeling and integrated optimization strategies that improve safety and sustainability. Through these efforts, he contributes to shaping the future of mobility in the intelligent era, bridging theoretical research with practical applications.

Award:

Assoc. Prof. Dr. Xun Gong has been recognized for his contributions to engineering research through academic awards and professional honors. His leadership in automotive control and predictive modeling has earned acknowledgment within the scholarly community. He continues to demonstrate excellence through high-impact publications, international collaborations, and his service to professional organizations such as IEEE, where he actively contributes to advancing global engineering knowledge.

Selected Publication:

  • Fast nonlinear model predictive control on FPGA using particle swarm optimization, published in 2015, has received 175 citations and is widely referenced in the control engineering community.

  • Cabin and battery thermal management of connected and automated HEVs for improved energy efficiency using hierarchical model predictive control, published in 2019, has been cited 166 times and represents a major advance in sustainable vehicle technology.

  • Vehicle velocity prediction and energy management strategy part 1: Deterministic and stochastic vehicle velocity prediction using machine learning, published in 2019, has gathered 125 citations and reflects his expertise in integrating machine learning with automotive systems.

  • Integrated longitudinal and lateral vehicle stability control for extreme conditions with safety dynamic requirements analysis, published in 2022, has gained 77 citations and highlights his work on vehicle safety and control.

Conclusion:

In summary, Assoc. Prof. Dr. Xun Gong is an accomplished researcher whose career exemplifies academic excellence, international collaboration, and meaningful contributions to automotive and control systems. His innovative research has advanced the fields of intelligent transportation, predictive control, and sustainable energy management, bridging the gap between theoretical knowledge and industrial application. His strong publication record, professional recognition, and leadership in collaborative projects underscore his suitability for this award. With continued commitment to advancing research and mentoring the next generation of engineers, he is positioned to make further impactful contributions to science, industry, and society.

 

 

Emmanuel Owoicho Abah | Bioenergy | Best Researcher Award

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Dr. Emmanuel Owoicho Abah | Bioenergy | Best Researcher Award

Dr. Emmanuel Owoicho Abah | Bioenergy – Postdoctoral Associate at University of Vermont, United States

Dr. Emmanuel Owoicho Abah is a distinguished postdoctoral associate at the Food Systems Research Center, University of Vermont, where he leads research bridging renewable energy, sustainable agriculture, and environmental systems. With a strong foundation in agricultural and environmental engineering, he focuses on optimizing energy systems, mitigating environmental impacts, and advancing food system sustainability. His interdisciplinary work connects innovations in low-emission biomass utilization, climate adaptation, and life cycle assessment, contributing to cleaner energy solutions and sustainable food processing practices across multiple continents.

Academic Profile

ORCID

Scopus

Google Scholar

Education

Dr. Abah earned his Ph.D. in Agricultural and Environmental Engineering from the University of Tsukuba, Japan, where his research centered on developing catalytic conversion technologies for reducing emissions in biomass-based energy systems. He expanded his expertise through postdoctoral research at the University of Vermont, focusing on energy optimization and sustainable food production. His academic journey is marked by advanced research in emission control, energy-environment interactions, and agricultural resilience under climate stressors.

Experience

Over the past decade, Dr. Abah has collaborated with research teams in Japan, the USA, and Africa, driving innovations in renewable energy integration and food system sustainability. He has contributed to international projects assessing particulate matter emissions from biomass, solar photovoltaic forecasting, and environmental impacts of agricultural residues. His work with institutions such as the University of Tsukuba and the University of Vermont has resulted in impactful findings published in global journals. Additionally, he mentors graduate researchers and supports initiatives promoting sustainable farming and energy practices in developing regions.

Research Interest

Dr. Abah’s research interests span renewable energy systems, sustainable agriculture, life cycle assessment (LCA), and climate change mitigation. He explores pathways for reducing particulate emissions in biomass energy, applies machine learning to solar energy forecasting, and evaluates food system efficiencies under climate variability. His studies address pressing challenges such as energy access, environmental degradation, and agricultural resilience, aiming to guide policymakers and industries toward sustainable solutions.

Award

In recognition of his impactful publications, global research collaborations, and contributions to sustainable energy and food systems, Dr. Emmanuel Owoicho Abah is nominated for the Best Researcher Award 2025. His innovative approaches to emission control, agricultural energy integration, and cross-continental sustainability make him a distinguished candidate for this honor.

Publications

  • Challenges and Opportunities in Nigeria’s Renewable Energy Policy and Legislation – World Journal of Advanced Research and Reviews, 2024 (Cited by 11)
  • Comparative Real-Time Assessment of Particulate Matter Emissions in Rice Husk Combustion – Journal of the Japan Institute of Energy, 2018 (Cited by 8)
  • Catalytic Temperature Effects on Conversion Efficiency of PM2.5 and Gaseous Emissions from Rice Husk Combustion – Energies, 2021 (Cited by 5)
  • Intensifying Human-Driven Heatwaves Characteristics and Heat-Related Mortality Over Africa – Environmental Research: Climate, 2024 (Cited by 5)
  • Environmental Impact of Cassava Processing Waste on Soil Quality in Benue South, Nigeria – European Journal of Ecology, Biology, and Agriculture, 2024 (Cited by 1)
  • Machine Learning-Based Solar Photovoltaic Power Forecasting for Nigerian Regions – Energy Science & Engineering, 2025 (Cited by 1)
  • Sweet Liquid Gold Facing Climate Change: SWOT Analysis of the U.S. Maple Syrup Sector – Sustainability, 2025 (New Publication)

Conclusion

Dr. Emmanuel Owoicho Abah’s career reflects a dedication to advancing renewable energy applications and sustainable agricultural systems while addressing climate and environmental challenges on a global scale. His scholarly contributions, which include widely cited studies and international collaborations, have helped shape policy discussions and technological strategies for sustainable development. As a mentor, innovator, and researcher, he continues to pave the way for impactful advancements in food-energy systems and emission control technologies. This award nomination recognizes his growing influence, his dedication to bridging science and societal needs, and his potential to continue contributing groundbreaking research and leadership to the fields of renewable energy and sustainable agriculture.