Khaled Alhosani | Sustainable Computing | Best Researcher Award

Dr. Khaled Alhosani | Sustainable Computing | Best Researcher Award

Executive Director | Ajman Municipality and Planning Department | United Arab Emirates

Dr. Khaled Alhosani is a distinguished leader in environmental governance, sustainability innovation, and public health advancement. As Executive Director of the Public Health and Environment Sector at the Municipality and Planning Department – Ajman, he has played a pivotal role in transforming Ajman into a regional benchmark for sustainable urban development. With over seventeen years of public sector service, he has introduced impactful reforms in climate neutrality, waste-to-resource innovation, and circular economy integration. His visionary strategies and policy contributions continue to guide Ajman’s path toward net-zero emissions, resilient ecosystems, and international environmental recognition.

Publication Profile

Scopus

ORCID

Google Scholar

Education Background

Dr. Khaled Alhosani earned a Ph.D. in Sustainable Waste Management from the University of Bolton, UK, with his doctoral thesis focusing on empowering public-private partnerships for sustainable waste management in the circular economy. He holds an MSc in Groundwater Engineering and Management from Ajman University and a BSc in Plant Sciences in Arid Regions from the United Arab Emirates University. Complementing his technical education, he also holds a Diploma in Human Resources from ITAC Institute, UAE, and completed the Leadership Transition Programme at INSEAD Business School, France, preparing him for senior leadership roles in sustainability and governance.

Professional Experience

Dr. Khaled Alhosani currently serves as Executive Director of the Public Health and Environment Sector at the Municipality and Planning Department – Ajman, where he has led initiatives in climate change resilience, air quality intelligence, and sustainable infrastructure systems. His career includes leadership as Director of the Public Health and Environment Department at Ajman Municipality, where he launched sustainability programs and performance frameworks. Previously, he directed the Plant Protection and Quarantine Department at the UAE Ministry of Environment & Water, spearheading national pest management programs. His multifaceted experience demonstrates his expertise in public health, municipal governance, and environmental policy implementation.

Awards and Honors

Throughout his career, Dr. Khaled Alhosani has received multiple awards recognizing his excellence in environmental leadership and governance. He has twice been honored as Top Supervising Employee by Ajman Municipality, in addition to receiving the Department of the Year recognition through the Injaz Program. He is also a recipient of the Nationals in the Way of Excellence Award, which highlights his commitment to innovation, sustainability, and performance excellence. These accolades reflect not only his personal achievements but also his success in driving institutional growth, sustainable reforms, and long-lasting environmental impact across the Emirate of Ajman.

Research Focus

Dr. Khaled Alhosani’s research is centered on sustainable waste management, circular economy integration, and innovative frameworks for climate resilience. His doctoral research on empowering public-private partnerships for waste management has informed Ajman’s municipal strategies and infrastructure. He has also contributed to frameworks for air quality management, strategies for reducing landfill emissions, and AI-enhanced sustainable education. His scholarly work emphasizes bridging theory and practice, with a focus on policy transformation, environmental innovation, and renewable energy solutions. Through his publications, he continues to contribute to global discussions on climate neutrality, urban sustainability, and environmental governance.

Publications

  1. Harnessing coconut shell carbon micro particles for enhanced optical absorbance and sustainable energy storage in organic phase change materials
    Published Year: 2025
    Citation: 1

  2. A framework for public-private partnerships empowerment towards zero industrial waste in the UAE
    Published Year: 2025
    Citation: 1

  3. AI-enhanced sustainable educational framework for a greener world
    Published Year: 2025
    Citation: 1

  4. Air quality management strategic framework for future sustainable cities
    Published Year: 2025
    Citation: 2

Conclusion

Dr. Khaled Alhosani stands as a leading figure in sustainability and environmental governance in the UAE and beyond. His combination of academic expertise, visionary leadership, and impactful reforms has positioned Ajman as a model for sustainable urban transformation. Recognized for his excellence in research, policy, and management, he continues to mentor emerging professionals and contribute to international collaborations. His legacy is defined by advancing environmental innovation, fostering global partnerships, and driving Ajman’s journey toward net-zero emissions and environmental excellence, ensuring a greener, healthier, and more sustainable future for generations to come.

Dr. Keyong Hu | artificial intelligence | Best Researcher Award

Dr. Keyong Hu | artificial intelligence | Best Researcher Award

Teacher, Hangzhou Normal University, China

Dr. KeYong Hu is an accomplished academic and researcher specializing in artificial intelligence and new energy technology. He earned his Ph.D. from the Zhejiang University of Technology in 2016 and is currently serving as an Associate Professor at Hangzhou Normal University, within the School of Information Science and Technology. Dr. Hu has contributed significantly to the intersection of AI and energy systems, with numerous publications in international journals, showcasing his expertise in predictive modeling and intelligent optimization.

Publication Profile

ORCID

🎓 Education Background

Dr. KeYong Hu completed his doctoral studies at the Zhejiang University of Technology, Hangzhou, China, where he received his Ph.D. in 2016. His academic training laid a strong foundation in computational intelligence and energy-related engineering applications.

💼 Professional Experience

Dr. Hu holds the position of Associate Professor at Hangzhou Normal University, Hangzhou, Zhejiang, China, affiliated with the School of Information Science and Technology. He has been actively involved in teaching, mentoring, and high-impact research since earning his doctorate.

🏆 Awards and Honors

While specific awards are not listed, Dr. Hu’s prolific publishing record in top-tier peer-reviewed journals like Mathematics, Heliyon, Sustainability, and Computers and Electrical Engineering underscores his recognition and influence in the fields of AI and energy optimization.

🔬 Research Focus

Dr. Hu’s research centers on the integration of artificial intelligence with new energy technologies, particularly photovoltaic power forecasting, energy system optimization, and cross-modal data analysis. His innovative use of algorithms such as Copula functions, Transformers, and Dung Beetle Optimization showcases his depth in AI-driven energy analytics.

✅ Conclusion

Dr. KeYong Hu stands out as a forward-thinking researcher contributing impactful work at the intersection of artificial intelligence and sustainable energy. Through his academic leadership and research contributions, he continues to shape the future of intelligent energy systems in China and beyond. 🌍📈

📚 Top Publications 

🔗 Two-Stage Distributionally Robust Optimal Scheduling for Integrated Energy Systems Considering Uncertainties in Renewable Generation and Loads
Journal: Mathematics | Year: 2025
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🔗 Short-term Photovoltaic Forecasting Model with Parallel Multi-Channel Optimization Based on Improved Dung Beetle Algorithm
Journal: Heliyon | Year: 2024
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🔗 Distributed Regional Photovoltaic Power Prediction Based on Stack Integration Algorithm
Journal: Mathematics | Year: 2024
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🔗 Automatic Depression Prediction via Cross-Modal Attention-Based Multi-Modal Fusion in Social Networks
Journal: Computers and Electrical Engineering | Year: 2024
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🔗 Short-Term Photovoltaic Power Generation Prediction Based on Copula Function and CNN-CosAttention-Transformer
Journal: Sustainability | Year: 2024
Cited by: Check on Google Scholar