Yuyao Wang | Artificial Intelligence | Best Scholar Award

Mr. Yuyao Wang | Artificial Intelligence | Best Scholar Award

Master's Candidate | Henan Polytechnic University | China

Mr. Yuyao Wang, a Master’s candidate in Cartography and Geographic Information Systems at Henan Polytechnic University, has made significant contributions to remote sensing and artificial intelligence integration for agricultural and environmental monitoring. His research primarily focuses on remote sensing image processing, land use classification, and artificial intelligence-driven multi-source data fusion. With strong expertise in applying artificial intelligence to satellite data interpretation, Mr. Wang has developed novel frameworks for rice field identification in mountainous regions and cloud removal techniques using SAR and optical imagery fusion. His innovative use of artificial intelligence in remote sensing enhances precision agriculture and sustainable land management practices. Mr. Wang’s professional journey reflects his commitment to applying artificial intelligence and geospatial analytics to complex real-world challenges. His works published in prestigious journals like Remote Sensing and PLOS ONE demonstrate robust analytical skills, methodological innovation, and interdisciplinary thinking powered by artificial intelligence. He continues to explore advanced artificial intelligence techniques for improving data accuracy and environmental insights, bridging gaps between technology and agricultural sciences. Mr. Wang’s achievements highlight excellence in artificial intelligence research, demonstrating potential for transformative advancements in geoinformatics and environmental sustainability. His dedication, scientific curiosity, and mastery of artificial intelligence tools reinforce his reputation as a promising researcher in remote sensing and GIS. 12 Citations, 3 Documents, 2 h-index.

Profiles: Scopus | ORCID

Featured Publications

1. Wang, Y., Cheng, J., Yuan, Z., & Zang, W. (2025). Research on rice field identification methods in mountainous regions. Remote Sensing, 17(19), 3356.

2. Wang, Y. (2025, March 19). A novel cloud removal method by fusing features from SAR and neighboring optical remote sensing images.

Dr. Lijuan Li | Artificial Intelligence | Best Researcher Award

Dr. Lijuan Li | Artificial Intelligence | Best Researcher Award

Deputy Director of Academic Affairs Office at Nanjing Tech University, China

Dr. Lijuan Li is a distinguished professional whose career embodies excellence in automation, engineering, and artificial intelligence. Her contributions extend across teaching, research, and leadership, demonstrating a commitment to advancing knowledge in artificial intelligence. She integrates artificial intelligence into modeling, optimization, and process control, shaping the direction of modern automation. Through her academic and professional efforts, Dr. Li enhances the global understanding of artificial intelligence. She emphasizes innovation and collaboration in artificial intelligence, ensuring sustainable growth in her research. With dedication to academic leadership and artificial intelligence applications, she serves as a role model. Her work consistently reflects the transformative role of artificial intelligence in engineering, research, and advanced automation systems.

Professional Profile

Scopus Profile

Education 

Dr. Lijuan Li has established a strong educational foundation that has supported her professional journey in artificial intelligence. Her academic background demonstrates a thorough engagement with control science, engineering, and artificial intelligence. Through her advanced studies, Dr. Li developed expertise in artificial intelligence methodologies, modeling, and optimization. Education played a central role in shaping her vision, allowing her to expand artificial intelligence applications across multiple disciplines. She integrated artificial intelligence in both theoretical frameworks and practical experiments, enhancing the impact of her academic growth. Dr. Li emphasizes the essential role of artificial intelligence in research and teaching. Her education reflects a structured pathway where artificial intelligence consistently supported her achievements. With a robust educational background, she continuously fosters innovation and builds meaningful contributions through artificial intelligence.

Experience 

Dr. Lijuan Li has cultivated a broad professional experience that centers on artificial intelligence applications in automation and engineering. Her role as Professor and Director allows her to expand artificial intelligence within research and academic leadership. She has guided multiple research initiatives where artificial intelligence shaped outcomes in modeling, process design, and optimization. Through professional roles, she integrates artificial intelligence to strengthen collaborations and inspire colleagues. Artificial intelligence remains a consistent theme in her professional journey, supporting innovation in automation. She applies artificial intelligence in research projects and administrative leadership. As a professional leader, she builds institutional strategies that align with artificial intelligence-driven advancements. Her professional experience reflects her dedication to artificial intelligence as a core element. By integrating artificial intelligence across academic and applied domains, Dr. Li continues to influence automation research.

Research Interest 

Dr. Lijuan Li research interests are centered on artificial intelligence with emphasis on automation, process modeling, and optimization. She explores artificial intelligence for improving industrial systems and control performance evaluation. Her research applies artificial intelligence across process engineering, enhancing efficiency and sustainability. With focus on artificial intelligence, she builds methodologies that integrate innovation and practical applications. She actively investigates artificial intelligence for complex system management. Artificial intelligence serves as the foundation of her interdisciplinary research projects. Her interests combine automation, engineering, and artificial intelligence to improve real-world outcomes. She highlights artificial intelligence as the driver of progress in process industries. Dr. Li’s work demonstrates how artificial intelligence fosters adaptability in automation. Her research interests continually evolve with artificial intelligence, addressing both theoretical development and practical impact in automation.

Award and Honor

Dr. Lijuan Li has earned recognition through awards and honors that celebrate her expertise in artificial intelligence. Her achievements highlight how artificial intelligence advances contribute to automation and research leadership. Awards demonstrate the value of integrating artificial intelligence into engineering and academic fields. Honors reflect her dedication to artificial intelligence innovations and their societal impact. She consistently promotes artificial intelligence as a transformative tool in academia. Recognitions validate her ability to advance artificial intelligence knowledge and its applications. Each award highlights her strong commitment to artificial intelligence excellence. Her honors emphasize leadership in research and teaching where artificial intelligence remains central. The impact of artificial intelligence in her achievements underscores her pioneering contributions. Through these recognitions, Dr. Li’s role in promoting artificial intelligence within academia and research is continually reinforced.

Research Skill

Dr. Lijuan Li possesses advanced research skills with deep expertise in artificial intelligence. Her skills include modeling, simulation, optimization, and performance evaluation driven by artificial intelligence. She demonstrates the capacity to apply artificial intelligence across interdisciplinary projects. Her research skills extend to developing methodologies where artificial intelligence supports process innovation. Artificial intelligence plays a consistent role in her experiments, data analysis, and optimization strategies. She uses artificial intelligence to design frameworks that enhance automation. With research skills grounded in artificial intelligence, she contributes to advancing industrial applications. Her expertise ensures innovation in artificial intelligence for automation systems. Dr. Li’s research skills emphasize adaptability, precision, and creative integration of artificial intelligence. Through these capabilities, she continues to strengthen the scientific community’s reliance on artificial intelligence as a key research driver.

Publication Top Notes 

Title: Real-time prediction of temperature field during welding by data-mechanism driving 
Journal: Journal of Manufacturing Processes
Year : 2025

Title: A new method of simulation and optimization in biogas high-pressure water scrubbing process based on surrogate model
Journal: Separation Science and Technology Philadelphia
Year : 2025

Title: Factor Graph Optimization Localization Method Based on GNSS Performance Evaluation and Prediction in Complex Urban Environment  
Journal: IEEE Sensors Journal
Year : 2025

Title: Digital twin for weld pool evolution by data-physics integrated driving 
Journal: Journal of Manufacturing Processes
Year : 2024

Title: Kinetic parameter identification in the residue hydro refining reaction using a novel optimizer: IAC-SCA
Journal: Chemical Engineering Science
Year : 2024

Title: A method for predicting methane production from anaerobic digestion of kitchen waste under small sample conditions
Journal: Environmental Science and Pollution Research
Year : 2024

Conclusion

Dr. Lijuan Li career demonstrates excellence in artificial intelligence, automation, and engineering. She highlights artificial intelligence as a transformative power in education, research, and professional leadership. Her journey illustrates how artificial intelligence enriches scientific contributions and technological applications. She applies artificial intelligence consistently across teaching, research, and management. Artificial intelligence remains the foundation of her innovation strategies and academic vision. Through leadership, she integrates artificial intelligence in advancing automation fields. Dr. Li’s conclusion underscores her dedication to artificial intelligence in academia and industry. Her career is a testament to the enduring relevance of artificial intelligence. She inspires peers by demonstrating the potential of artificial intelligence for global progress. In conclusion, her professional path reflects a strong and lasting commitment to artificial intelligence across disciplines.

Ricardo Alberto Rodríguez-Carvajal | Technology | Best Researcher Award

Prof. Dr. Ricardo Alberto Rodríguez-Carvajal | Technology | Best Researcher Award

Research Professor at Universidad de Guanajuato, Mexico

Dr. Ricardo Alberto Rodríguez Carvajal is a distinguished professor and researcher at the Universidad de Guanajuato 🇲🇽. With a strong background in industrial engineering, strategic planning, and technology management, he has contributed significantly to academia and industry. His expertise spans sustainable development, energy security, and social innovation ⚡🌍. He has served in leadership roles at Universidad de Sonora and Universidad de Guanajuato, guiding doctoral research and technology transfer. As a member of the Sistema Nacional de Investigadores (SNI) and the National Solar Energy Association, he actively promotes renewable energy solutions ☀️🔬.

Professional Profile

Orcid

Education & Experience 📚👨‍🏫

  • Doctorate in Strategic Planning & Technology Management, UPAEP (2013) 🎓
  • Master’s in Computer Science, Instituto Tecnológico de Hermosillo (2006) 💻
  • Industrial & Systems Engineering, Universidad de Sonora (1999) 🏭
  • Postdoctoral Researcher, CONAHCYT – Universidad de Sonora (2023) 🏡🌱
  • Professor, Universidad de Guanajuato (2016–present) 👨‍🏫
  • Professor, Universidad Virtual del Estado de Guanajuato (2021–present) 🌐
  • Guest Lecturer, Instituto Politécnico Nacional (2021–2022) 🎓
  • Director of Innovation, Grupo Industrial SOGO (2015–2017) 🚀

Professional Development 🚀📖

Dr. Rodríguez Carvajal has dedicated his career to innovation, academia, and technology transfer. As an SNI Level 1 researcher, he contributes to the advancement of renewable energy and industrial engineering ⚡🏭. He has played a crucial role in technology commercialization, helping industries develop solar energy solutions ☀️. He also works as an academic advisor for doctoral and postgraduate students at UPAEP 📚. His leadership extends to editorial roles, project management, and participation in international networks like IATED and the National Association of Solar Energy 🌍. His goal is to bridge research and industry through innovation and sustainability.

Research Focus 🔬🌱

Dr. Rodríguez Carvajal’s research revolves around renewable energy, sustainability, and industrial innovation ⚡🏭. He specializes in solar energy technologies ☀️, helping develop tracking systems for photovoltaic panels. His work includes strategic planning for sustainable development 🌍, addressing energy, water, and food security challenges in Mexico. He is also involved in social innovation projects, leveraging technology to improve conditions in indigenous communities 🏡. His interdisciplinary approach combines engineering, environmental science, and policy to create impactful solutions. Through international collaborations, he contributes to the future of clean energy and industrial efficiency 🌍🔋.

Awards & Honors 🏆🎖

  • Member of Sistema Nacional de Investigadores (SNI), Level 1 (2023-2027, 2020-2022, 2013-2016) 🏅
  • PRODEP Recognition for Academic Excellence (2018-2021, 2015-2018) 🏆
  • National Researcher Fellowship, CONACyT (2008-2012) 🎓
  • PROMEP Doctoral Studies Fellowship (2008-2013) 🎖
  • Reviewer for Engineering Accreditation Council (CACEI) (2008-2014) 📜
  • Editorial Secretary, Renewable Energy Journal (2022-2024) 📰
  • Technical Advisor, National Evaluation Center (CENEVAL) (2002-2014) 🏛

Publication Top Notes

  • Absorption Capacities of Digital Transformation Technologies in the Agroindustry of Guanajuato

    • Journal: Revista de Gestão Social e Ambiental
    • Year: 2024
    • DOI: 10.24857/rgsa.v18n9-159
    • Citation: Author(s). “Absorption Capacities of Digital Transformation Technologies in the Agroindustry of Guanajuato.” Revista de Gestão Social e Ambiental, vol. 18, no. 9, 2024, DOI: 10.24857/rgsa.v18n9-159.
  • Perspective of Water-Use Programs in Agriculture in Guanajuato

    • Journal: Agriculture
    • Year: 2024
    • DOI: 10.3390/agriculture14081258
    • Citation: Author(s). “Perspective of Water-Use Programs in Agriculture in Guanajuato.” Agriculture, vol. 14, no. 8, 2024, DOI: 10.3390/agriculture14081258.
  • Enhancing the Productivity of Mexican Agriculture Through the Provision of Industry 4.0 Training for Local Farmers

    • Conference: ICERI 2023
    • Year: 2023
    • DOI: 10.21125/iceri.2023.0549
    • Citation: Author(s). “Enhancing the Productivity of Mexican Agriculture Through the Provision of Industry 4.0 Training for Local Farmers.” ICERI 2023 Proceedings, 2023, DOI: 10.21125/iceri.2023.0549.
  • Carbón Vegetal de Marabú, Un Aporte a la Energía Renovable

    • Journal: Energías Renovables
    • Year: 2023
    • DOI: 10.59730/rer.v10n50a1
    • Citation: Ricardo Alberto Rodríguez-Carvajal. “Carbón Vegetal de Marabú, Un Aporte a la Energía Renovable.” Energías Renovables, vol. 10, no. 50, 2023, DOI: 10.59730/rer.v10n50a1.
  • Correlating Disorder Microstructure and Magnetotransport of Carbon Nanowalls

    • Journal: Applied Sciences
    • Year: 2023
    • DOI: 10.3390/app13042476
    • Citation: Author(s). “Correlating Disorder Microstructure and Magnetotransport of Carbon Nanowalls.” Applied Sciences, vol. 13, no. 4, 2023, DOI: 10.3390/app13042476.