Steven Su | Process Control | Best Researcher Award

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 Prof. Steven Su | Process Control | Best Researcher Award

Associate Dean at Shandong First Medical University, Australia.

Professor Steven Weidong Su is an accomplished academic leader and researcher with extensive experience in both Chinese and Australian university systems. As Associate Dean at Shandong First Medical University’s College of Medical Information and AI, he has led transformative educational initiatives and research in medical AI and rehabilitation robotics. With a Ph.D. from Australian National University and over 16 years at the University of Technology Sydney, he has supervised 24 PhD students and spearheaded pioneering projects such as AI-powered exoskeletons and electronic nose systems. His leadership in bridging academia and industry is evident through his role as CTO at Sydney Robotics Academy. His global perspective, innovation-driven mindset, and dedication to educational excellence make him highly suitable for the Best Researcher Award.

🌍 Professional Profile:

ORCID

Google Scholar

Scopus

🏆 Suitability for the Best Researcher Award :

Professor Steven Weidong Su exemplifies the ideal candidate for the Best Researcher Award through his trailblazing contributions to medical artificial intelligence, rehabilitation robotics, and intelligent systems. As Associate Dean at Shandong First Medical University, he has redefined academic structures and introduced forward-thinking master’s programs. His prolific research career includes over 200 publications, high-impact projects like the AI EXO for stroke rehabilitation, and the electronic nose system for health diagnostics. With 24 PhD students supervised and a dual academic presence in China and Australia, Professor Su bridges global research ecosystems. His innovations consistently drive real-world impact, making him a transformative leader in control systems, AI in healthcare, and cross-disciplinary collaboration—hallmarks of an outstanding researcher worthy of this prestigious recognition.

🎓 Education :

Professor Su holds a Ph.D. in Statistical Optimisation and its Applications in Modelling and Control from the prestigious Australian National University (ANU), where he developed foundational expertise in complex system analysis and control. He earned both his Master of Engineering and Bachelor of Engineering degrees in Automation from Harbin Institute of Technology, one of China’s top engineering institutions. This academic foundation underpins his extensive research in robotics, artificial intelligence, and smart sensing. His cross-continental education has equipped him with a rare blend of theoretical knowledge and practical application, facilitating impactful work in medical AI, rehabilitation technologies, and interdisciplinary research. His academic path reflects a commitment to rigorous scholarship and global collaboration in advancing healthcare innovation.

🏢 Work Experience :

Professor Su has a distinguished career spanning over two decades in higher education and applied research. Since 2022, he has served as Associate Dean at Shandong First Medical University, overseeing innovative programs in medical AI for 3,000 students and 130 faculty members. Previously, he spent 16 years at the University of Technology Sydney, where he earned acclaim as an educator, researcher, and PhD supervisor. He led groundbreaking projects, including AI-powered rehabilitation exoskeletons and biosensing systems. Additionally, he is the Chief Technical Officer at Sydney Robotics Academy, where he translates academic insights into industrial solutions. His roles emphasize academic excellence, leadership, and innovation across diverse cultural and institutional landscapes, making him a vital contributor to global medical technology advancement.

🏅 Awards and Honors :

Professor Su’s exceptional contributions to education and research have earned him significant recognition. At the University of Technology Sydney, he was nominated for the Vice-Chancellor’s Learning and Teaching Excellence Award, reflecting his outstanding teaching and mentorship. His projects, including the AI-powered exoskeleton and electronic nose system, have received widespread acclaim in academia and industry for their innovation and societal impact. As a leader in integrating AI into medical and rehabilitation technologies, he continues to receive praise from students, peers, and stakeholders. His achievements exemplify excellence in research, teaching, and academic leadership, with accolades that underscore his capacity to inspire innovation and advance knowledge. These honors highlight his strong candidacy for the Best Researcher Award.

🔬 Research Focus :

Professor Su’s research lies at the intersection of robotics, artificial intelligence, and rehabilitation engineering. His expertise includes robotic modeling and control, system control for rehabilitation equipment, smart sensing technologies, and reinforcement learning applications in medical contexts. A key focus is the development of AI-assisted rehabilitation systems, such as intelligent exoskeletons for stroke recovery and electronic nose technologies for health diagnostics and food safety. His work on human-machine interfaces aims to enhance therapeutic outcomes through adaptive and intuitive systems. With a deep interest in interdisciplinary collaboration, he bridges computer science, medical technology, and engineering. His research not only pushes scientific boundaries but also delivers practical solutions to real-world challenges in healthcare and intelligent systems.

📊 Publication Top Notes:

🔧 Backstepping control of electro-hydraulic system based on extended-state-observer with plant dynamics largely unknown
📅 Year: 2016 | 📑 Cited by: 248 | 📚 IEEE Transactions on Industrial Electronics

🧠 Investigation of window size in classification of EEG-emotion signal with wavelet entropy and support vector machine
📅 Year: 2015 | 📑 Cited by: 191 | 📚 IEEE Engineering in Medicine and Biology Conference (EMBC)

❤️ Nonlinear modeling and control of human heart rate response during exercise with various work load intensities
📅 Year: 2008 | 📑 Cited by: 181 | 📚 IEEE Transactions on Biomedical Engineering

🏃‍♂️ Identification and control for heart rate regulation during treadmill exercise
📅 Year: 2007 | 📑 Cited by: 169 | 📚 IEEE Transactions on Biomedical Engineering

🤖 Neural adaptive backstepping control of a robotic manipulator with prescribed performance constraint
📅 Year: 2018 | 📑 Cited by: 165 | 📚 IEEE Transactions on Neural Networks and Learning Systems

🚨 Unsupervised machine-learning method for improving the performance of ambulatory fall-detection systems
📅 Year: 2012 | 📑 Cited by: 115 | 📚 Biomedical Engineering Online

Qinhe Zhang | Electric discharge machining | Best Researcher Award

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 Prof. Qinhe Zhang | Electric discharge machining
| Best Researcher Award

Professor at  Shandong University, China.

Professor Qinhe Zhang is a distinguished academic in Mechanical Engineering at Shandong University and serves as the Deputy Director of the Non-traditional Machining Research Group. With over three decades of academic and industrial experience, he is recognized as a Senior Member of the Chinese Society of Mechanical Engineering. He was selected for the prestigious “New Century Excellent Talents in University” program in 2007. His international exposure includes research positions at the University of Michigan and Rutgers University. Professor Zhang has made significant contributions in non-traditional machining, digital simulation, and metal forming. His prolific research output, leadership in major national projects, and dedication to teaching make him a strong candidate for the Best Researcher Award.

🌍 Professional Profile:

Scopus 

🏆 Suitability for the Best Researcher Award :

Professor Qinhe Zhang is a leading expert in non-traditional machining and machine tool research, with over 30 years of academic and industrial experience. As Deputy Director of the Non-traditional Machining Research Group at Shandong University, he has made outstanding contributions to high-precision manufacturing and digital simulation. His leadership in multiple projects funded by the National Natural Science Foundation of China demonstrates strong innovation and research impact. Recognized as a Senior Member of the Chinese Society of Mechanical Engineering and a recipient of the New Century Excellent Talents award, Professor Zhang has also enriched global research through visiting positions at prestigious institutions like the University of Michigan and Rutgers University. His exceptional achievements make him highly deserving of the Best Researcher Award.

🎓 Education :

Professor Qinhe Zhang earned his Ph.D. in Mechanical Engineering from Shandong University in 2003. He previously obtained a Master’s degree from Shandong University of Technology in 1995 and completed his Bachelor’s studies at the same institution in 1990. His progressive academic journey through top engineering schools in China laid a strong foundation for his expertise in non-traditional machining and mechanical design. With rigorous training across multiple academic levels, Professor Zhang has developed a deep understanding of advanced manufacturing techniques and digital simulation. His educational background supports his significant contributions to both teaching and high-impact research, particularly in areas requiring advanced modeling, precision engineering, and machining innovation.

🏢 Work Experience :

Professor Qinhe Zhang has over 30 years of combined academic and industrial experience. He began as a mechanical engineer at Jinan Mould Factory before joining Shandong University as an Assistant Professor in 1995. He progressed to Associate Professor and then Professor by 2003. His international academic engagements include research appointments at the Chinese University of Hong Kong, University of Michigan, and Rutgers University. He currently holds a full professorship and serves as Deputy Director of the Non-traditional Machining Research Group at Shandong University. His teaching portfolio includes courses in digital manufacturing and machine design, while his research leadership spans major projects funded by the National Natural Science Foundation of China, demonstrating deep expertise and sustained excellence in mechanical engineering.

🏅 Awards and Honors :

Professor Qinhe Zhang was honored with the prestigious New Century Excellent Talents in University award in 2007, a national recognition for outstanding young scholars in China. As a Senior Member of the Chinese Society of Mechanical Engineering, he is recognized for his academic influence and professional leadership. His career includes leading multiple nationally funded research projects, underlining his innovation and scholarly contribution to advanced manufacturing. His visiting appointments at top-tier international institutions such as the University of Michigan and Rutgers University also highlight his global academic engagement. These accolades affirm his standing as a leading researcher in mechanical engineering and make him highly deserving of further recognition, such as the Best Researcher Award.

🔬 Research Focus :

Professor Qinhe Zhang’s research centers on non-traditional machining, including electrical discharge machining (EDM) and its micro-scale applications. He explores machine tool design, digital simulation, and precision control in manufacturing, with a focus on metal forming and high-efficiency machining techniques. His projects funded by the National Natural Science Foundation of China have addressed cutting-edge topics like high-voltage pulse discharge milling and micro-EDM accuracy control. His interdisciplinary approach bridges theory with industrial application, targeting enhanced precision and energy efficiency. His work significantly advances the understanding and innovation in ultra-precision machining and intelligent manufacturing systems, reinforcing his role as a pioneering figure in the field of mechanical engineering.

📊 Publication Top Notes:

🛠️ Advanced Manufacturing & Materials

  • Mechanisms of External Magnetic Field Influence on Electrical Discharge Machining of SiCp/Al Composites
    📅 Year: 2025
    📚 Journal: Materials & Design
    🔗 Read Article

  • Optimization of Process Parameters in Ultrasonic Vibration-Assisted Powder-Mixed Electrical Discharge Machining of TiN Ceramics
    📅 Year: 2025
    📚 Journal: Journal of Materials Engineering and Performance
    🔗 Read Article

  • Influence of Different Spot Pattern Lasers on Cleaning Effect of TC4 Titanium Alloy
    📅 Year: 2025
    📚 Journal: Materials
    🔗 Read Article

🤖 Robotics & Medical Engineering

  • Precision Control in Surgical Procedures: Force Feedback Control Technology for Fracture Reduction Robots
    📅 Year: 2024
    📚 Journal: Asian Journal of Surgery
    🔗 Read Article

  • Computer-Aided Robotics for Applications in Fracture Reduction Surgery: Advances, Challenges, and Opportunities
    📅 Year: 2025
    📚 Journal: iScience
    📈 Citations: 1
    🔗 Read Article

  • A Dual-Mode Robot-Assisted Plate Implantation Method for Femoral Shaft Fracture
    📅 Year: 2024
    📚 Journal: International Journal of Medical Robotics and Computer Assisted Surgery
    🔗 Read Article

 

 

 

Fenghua Zhu | Transportation Systems | Best Industrial Research Award

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Assoc. Prof. Dr. Fenghua Zhu | Transportation Systems
| Best Industrial Research Award

Associate Professor at  Instiute of Automation, Chinese Academy of Sciences, China. 

Dr. Fenghua Zhu is an Associate Professor at the Institute of Automation, Chinese Academy of Sciences. With extensive experience in intelligent transportation systems and cloud computing, he has led transformative projects across more than ten Chinese cities, including Suzhou, Guangzhou, and Qingdao. His interdisciplinary approach bridges cutting-edge research with real-world application, significantly improving urban traffic control and management. Dr. Zhu has published over 50 international journal articles and more than 100 conference papers, alongside securing over 50 invention patents. His work has been recognized with numerous prestigious national awards. With a solid foundation in engineering, deep academic insight, and impactful societal contributions, Dr. Zhu stands as a leading candidate for the Best Researcher Award.

🌍 Professional Profile:

ORCID

🏆 Suitability for the Best Industrial Research Award :

Fenghua Zhu, Associate Professor at the Institute of Automation, Chinese Academy of Sciences, is exceptionally suited for the Best Industrial Research Award. With deep-rooted expertise in intelligent transportation systems and cloud computing, his research has led to transformative improvements in urban traffic control across more than 10 major Chinese cities. He holds over 50 invention patents and has published more than 150 scholarly articles. His industrially impactful work has earned prestigious honors, including the Special Prize of Technological Invention (2018), First Prize of Natural Science (2020), and multiple awards from national transportation societies. Dr. Zhu’s ability to convert cutting-edge research into large-scale, real-world applications makes him a distinguished leader in industrial innovation and a prime candidate for this recognition.

🎓 Education :

Dr. Fenghua Zhu earned his academic degrees from prestigious institutions in China. He completed his undergraduate and graduate studies in automation, with a focus on systems engineering and intelligent control. He later pursued doctoral research in the field of intelligent transportation systems, integrating information technologies with traffic engineering. Throughout his academic training, Dr. Zhu developed deep expertise in cloud computing, artificial intelligence, and urban transportation modeling. His education provided a strong theoretical and technical foundation that supports his applied research today. Dr. Zhu’s commitment to lifelong learning and technological advancement has driven his continuous pursuit of knowledge and innovation, making his educational journey both comprehensive and directly aligned with his groundbreaking work in intelligent urban systems.

🏢 Work Experience :

Dr. Fenghua Zhu serves as an Associate Professor at the Institute of Automation, Chinese Academy of Sciences. Over the years, he has led major research projects in intelligent transportation systems, contributing to the digital transformation of urban traffic management. His systems have been successfully deployed in more than ten Chinese cities, demonstrating tangible improvements in congestion control and efficiency. In addition to academic research, Dr. Zhu has collaborated with local governments and industry stakeholders, facilitating real-world implementation of intelligent traffic solutions. His experience spans technical innovation, team leadership, and strategic planning. As a mentor and project lead, he fosters interdisciplinary collaboration and cultivates new research talent, reinforcing his role as a key figure in China’s intelligent transportation ecosystem.

🏅 Awards and Honors :

Dr. Fenghua Zhu has received numerous prestigious awards recognizing his scientific excellence and technological innovation. He was awarded the Special Prize for Technological Invention by the China Association of Automation in 2018 and the First Prize for Natural Science by the same organization in 2020. His contributions earned the First Prize for Science and Technology Progress from the China Highway Society in 2017, and Second Prizes from the China Intelligent Transportation Society in both 2017 and 2019. Earlier in his career, he won the First Prize for Technological Invention in 2011. These honors reflect his pioneering role in intelligent transportation research, with practical solutions deployed across China, significantly advancing national capabilities in urban traffic management.

🔬 Research Focus :

Dr. Fenghua Zhu’s research centers on intelligent transportation systems (ITS), with a strong emphasis on cloud computing, real-time traffic control, and urban mobility optimization. His work integrates artificial intelligence, big data analytics, and system engineering to develop scalable and adaptive traffic management platforms. A significant part of his research involves applying these technologies in live urban settings, helping cities like Guangzhou and Suzhou reduce congestion, improve safety, and increase transportation efficiency. He also explores edge computing, vehicle-to-infrastructure communication, and predictive modeling to support smart city development. Through collaborative projects with municipal governments and tech partners, Dr. Zhu advances the frontiers of intelligent infrastructure, making impactful contributions to both scientific knowledge and practical urban transformation.

📊 Publication Top Notes:

📘 Model With Leader-Follower Backbone and Bifurcation Fusion for UAV Traffic Object Detection
🗓️ Year: 2025 | 🔁 Cited by: N/A | 📍 IEEE Transactions on Instrumentation and Measurement | 🔗 DOI: 10.1109/TIM.2025.3527595

📙 EPDNet: Light-weight Small Target Detection Algorithm Based on Pruning and Logical Distillation
🗓️ Year: 2025 | 🔁 Cited by: N/A | 📍 Applied Intelligence | 🔗 DOI: 10.1007/s10489-025-06582-3

📗 CoEF: Vehicular Cooperative Perception Based on Entropy Theory and Feature Re-projection
🗓️ Year: 2025 | 🔁 Cited by: N/A | 📍 Expert Systems with Applications | 🔗 DOI: 10.1016/j.eswa.2025.127371

📕 FLCSDet: Federated Learning-Driven Cross-Spatial Vessel Detection for Maritime Surveillance With Privacy Preservation
🗓️ Year: 2025 | 🔁 Cited by: N/A | 📍 IEEE Transactions on Intelligent Transportation Systems | 🔗 DOI: 10.1109/TITS.2024.3488497

Dorota Kregiel | Microbiology | Best Researcher Award

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Prof. Dorota Kregiel | Microbiology
| Best Researcher Award

Professor at Lodz University of Technology, Department of Environmental Biotechnology, Poland.

Professor Dorota Kręgiel, a distinguished academic at Lodz University of Technology, is a leading figure in environmental biotechnology. With over three decades of research, she has contributed significantly to microbial technology, biofilm analysis, and bioprocess development. As a principal investigator in European and national research grants—including the Sixth Framework Programme and COST—her innovative work impacts both science and industry. A member of prestigious scientific societies and editorial boards, she also serves as Poland’s National Deputy for the ISEKI Food Association. Recognized globally, she appears on the list of the top 2% scientists worldwide.



🌍 Professional Profile:


ORCID


🏆 Suitability for the Best Researcher Award :


























































Professor Dorota Kręgiel, a distinguished academic at Lodz University of Technology, is a leading figure in environmental biotechnology. With over three decades of research, she has contributed significantly to microbial technology, biofilm analysis, and bioprocess development. As a principal investigator in European and national research grants—including the Sixth Framework Programme and COST—her innovative work impacts both science and industry. A member of prestigious scientific societies and editorial boards, she also serves as Poland’s National Deputy for the ISEKI Food Association. Recognized globally, she appears on the list of the top 2% scientists worldwide. Her scientific rigor, leadership, and impactful publications make her a highly suitable candidate for the Best Researcher Award.














🎓 Education :


















































Professor Kręgiel obtained her M.Sc. in Chemistry and Food Technology from the Technical University of Lodz on 28 October 1986. Her thesis focused on Trichosporon sp. mutants for starch degradation under the supervision of Prof. Helena Oberman. She earned her Ph.D. in Chemical Technology on 19 December 2000 at the same university, with a dissertation on the Kluyver effect in Schwanniomyces occidentalis yeast, also supervised by Prof. Oberman. On 17 December 2013, she was awarded her habilitation, solidifying her standing as an independent researcher and educator. Her academic formation highlights strong foundations in food chemistry, biotechnology, and microbial processes, forming the bedrock of her advanced research in environmental biotechnology.


🏢 Work Experience :


Dorota Kręgiel serves as a full professor at the Faculty of Biotechnology and Food Science, Lodz University of Technology. She leads the Department of Environmental Biotechnology, specializing in microbial consortia and food safety. With a career spanning over 30 years, she has held roles as principal investigator, program evaluator, and international project leader. She was a core contractor in the EU’s Sixth Framework Programme and an expert in the INVENTORUM Project. Additionally, she is actively involved in program councils for Polish and international journals. Her collaboration spans academia and industry, bridging scientific research with technological applications in food and environmental microbiology. She also mentors young scientists and doctoral students across interdisciplinary fields.


🏅 Awards and Honors :


Professor Kręgiel has received multiple distinctions recognizing her research excellence and scientific leadership. She is listed among the top 2% of the most cited scientists worldwide, according to Stanford University rankings. Her expertise has led to prominent roles in European research consortia and national innovation grants from the Polish Ministry of Higher Education. She is an honorary member of the National Society of Processing and Energy in Agriculture (Serbia) and a National Deputy for Poland in the ISEKI Food Association. Additionally, she is an active member of the Polish Society of Microbiologists and the Federation of European Microbiological Societies. Her editorial contributions to international journals further underscore her standing in the global scientific community.


🔬 Research Focus :
































































Professor Kręgiel’s research centers on environmental biotechnology, microbial biofilms, and the development of sustainable bioprocesses. She investigates the behavior of microbial communities on various substrates, exploring their applications in food safety, bio-remediation, and industrial microbiology. Her work combines classical microbiology with modern analytical methods to evaluate the effectiveness of biofilm inhibitors, biocontrol agents, and microbial degradation pathways. She has led studies funded by the Polish National Center for Research and Development and the Ministry of Higher Education, contributing to scientific understanding and industrial practice. Her interdisciplinary approach addresses global challenges related to health, food, and the environment, making her a key contributor to innovations in microbial and environmental sciences.














📊 Publication Top Notes:


























































📄 Cyto- and Genotoxicity of Selected Plant Extracts and Microbial Metabolites with Confirmed Activity Against Phytopathogens of Potato Seed (Solanum tuberosum L.)
🗓️ Year: 2025 .


☀️ Photoprotective Effects of Yeast Pulcherrimin
🗓️ Year: 2024 .


🧪 Chitosan as an Antimicrobial, Anti-Insect, and Growth-Promoting Agent for Potato (Solanum tuberosum L.) Plants
🗓️ Year: 2024 .


🌿 Effectiveness of Ozonation for Improving the Microbiological Safety of Fresh-Cut Parsley (Petroselinum crispum) Leaves
🗓️ Year: 2023 .







	


	

	






	
	

		


Shipeng Chu | Water distribution system | Smart Cities Award
			

				Posted on  by sciencefather			

		
	


	

		
Mr. Shipeng Chu | Water distribution system

|Smart Cities Award




Associate Research Fellow at Zhejiang University, China.


Dr. Shipeng Chu is an Associate Research Fellow and Master’s Supervisor at the College of Civil Engineering and Architecture, Zhejiang University, China. He holds a Ph.D. in Municipal Engineering and specializes in water distribution systems, hydraulic modeling, and system optimization. Dr. Chu has published over 30 peer-reviewed journal articles, including 34 SCI-indexed papers in high-impact journals such as Water Research and Water Resources Research. His work is backed by 35 patents and several consultancy projects focusing on smart water management and infrastructure resilience. Dr. Chu’s innovations in water supply pipeline robotics and multi-source system integration are instrumental to smart city development, contributing to urban sustainability, safety, and efficiency. He is a strong candidate for the Smart Cities Award.


🌍 Professional Profile:


Scopus


Google scholar 


🏆 Suitability for the Smart Cities Award :


























































Dr. Shipeng Chu exemplifies innovation and practical impact in the realm of smart urban infrastructure, making him highly suitable for the Smart Cities Award. His research on water distribution systems integrates advanced hydraulic modeling, real-time monitoring, and AI-driven optimization—key technologies for smart city development. With over 30 SCI-indexed publications and 35 patents, Dr. Chu has significantly advanced intelligent water management. His consultancy work includes developing robotic pipeline cleaning systems and multi-source water security frameworks, directly contributing to urban resilience and resource efficiency. By bridging academic research with real-world implementation, Dr. Chu supports the creation of sustainable, adaptive, and smart municipal systems. His work aligns perfectly with the goals of modern smart cities seeking safe, efficient, and scalable infrastructure solutions.


🎓 Education :
























































Dr. Shipeng Chu earned his Ph.D. in Municipal Engineering from Zhejiang University, where he now serves as Associate Research Fellow and Master’s Supervisor. His academic foundation was built through rigorous training in civil and municipal infrastructure systems, focusing on the challenges of urban water supply, distribution networks, and hydraulic systems optimization. His doctoral work laid the groundwork for the development of innovative solutions in real-time monitoring, demand estimation, and fault detection in water systems—critical components in smart city frameworks. Through interdisciplinary collaboration and technical training, Dr. Chu has continued to expand his knowledge in urban water systems, data-driven modeling, and engineering resilience, making his educational background highly suitable for leading technological innovations in smart urban infrastructure.


🏢 Work Experience :


Dr. Shipeng Chu brings substantial academic and practical experience to the field of smart city water infrastructure. As an Associate Research Fellow at Zhejiang University, he has led and participated in three significant research projects focusing on water supply systems, real-time hydraulic modeling, and system-wide optimization. His industrial consultancy includes the design of robotic solutions for pipeline maintenance and the development of interconnected water supply systems for complex urban environments. With over 30 journal publications and 35 patents, Dr. Chu is recognized for translating research into practice. His collaborative work with government and municipal stakeholders showcases his ability to implement large-scale, smart water management systems, reinforcing his role as a key contributor to sustainable urban development.


🏅 Awards and Honors :


Dr. Shipeng Chu has established himself as a prominent innovator in urban water system engineering. His research has received significant academic recognition, with citations totaling over 280 (Scopus h-index: 11). He has been honored for his contributions to municipal engineering through successful national and municipal research projects. His technological outputs, including 35 published patents, underscore his inventive approach to solving real-world water distribution challenges. Dr. Chu has been invited to contribute to multiple high-impact journals, including Water Research (IF: 11.2) and Water Resources Research. His leadership in consultancy projects aimed at improving water security and smart monitoring systems has further cemented his status as a leading researcher and a valuable nominee for smart city innovation awards.


🔬 Research Focus :
































































Dr. Shipeng Chu’s research centers on smart water distribution systems, with special emphasis on online hydraulic modeling, real-time nodal demand estimation, and burst detection through sensor cooperation. He is at the forefront of integrating artificial intelligence and adaptive modeling into urban water networks to enhance efficiency, sustainability, and resilience. His recent innovations include robotic systems for pipeline cleaning and multi-source water supply security frameworks. By merging theoretical advancements with practical implementations, Dr. Chu’s work directly supports smart city initiatives by promoting safe, data-driven, and scalable water infrastructure. His research not only improves existing systems but also lays the groundwork for future intelligent water networks, positioning him as a pivotal contributor to the evolution of smart urban environments.
































































📊 Publication Top Notes:


    

  • 

    Optimized DMA partition to reduce background leakage rate in water distribution networks
    Authors: T. Zhang, H. Yao, S. Chu, T. Yu, Y. Shao
    Journal: Journal of Water Resources Planning and Management, 147(10), 04021071
    Citations: 39
    Year: 2021
    

    • 

  • 

    Degradation of estriol by chlorination in a pilot-scale water distribution system: Kinetics, pathway and DFT studies
    Authors: F. Dong, C. Li, X. Ma, Q. Lin, G. He, S. Chu
    Journal: Chemical Engineering Journal, 383, 123187
    Citations: 31
    Year: 2020
    

    • 

  • 

    Leakage localization using pressure sensors and spatial clustering in water distribution systems
    Authors: X. Li, S. Chu, T. Zhang, T. Yu, Y. Shao
    Journal: Water Supply, 22(1), 1020–1034
    Citations: 24
    Year: 2022
    

    • 

  • 

    Efficient degradation of aqueous carbamazepine by bismuth oxybromide-activated peroxide oxidation
    Authors: T. Zhang, S. Chu, J. Li, L. Wang, R. Chen, Y. Shao, X. Liu, M. Ye
    Journal: Catalysts, 7(11), 315
    Citations: 23
    Year: 2017
    

    • 

  • 

    An improved genetic algorithm for optimal layout of flow meters and valves in water network partitioning
    Authors: Y. Shao, H. Yao, T. Zhang, S. Chu, X. Liu
    Journal: Water, 11(5), 1087
    Citations: 20
    Year: 2019
    

    • 


	


	

	






	
	

		


G.N.Lalith Pankaj Raj Nadimuthu | Renewable Energy | Best Researcher Award
			

				Posted on  by sciencefather			

		
	


	

		
Dr. G.N.Lalith Pankaj Raj Nadimuthu | RenewableEnergy

|Best Researcher Award




 


Faculty at The Gandhigram Rural Institute – Deemed to be University ,India.


Dr. G.N. Lalith Pankaj Raj, a dedicated scholar in Energy Engineering, is a DST INSPIRE Fellow with exceptional contributions to renewable energy research. With over 260 citations, an h-index of 10, and 11 indexed publications, his impactful work in solar photovoltaics, electric mobility, and smart grid technology demonstrates academic excellence and real-world relevance. His interdisciplinary approach, field innovations, and gold-medal academic record make him a strong contender for the Best Researcher Award. His research aligns with national sustainability goals, especially in rural energy solutions. He consistently merges theory with application, helping to shape energy policy and empower rural communities through technology. His dedication to innovation and sustainability exemplifies the highest standards of academic research.




🌍 Professional Profile:


Orcid


Google scholar


🏆 Suitability for the Best Researcher Award


 


 














































Dr. G.N. Lalith Pankaj Raj, B.E., M.Tech., Ph.D., is a distinguished DST INSPIRE Fellow with an exceptional academic and research profile in energy engineering. His work focuses on impactful, community-driven innovations such as solar photovoltaic-based cold storage and nano-grids for rural livelihood improvement. With 262 citations, an h-index of 10, and 11 i10-indexed publications, his research demonstrates both quality and real-world applicability. A Gold Medalist and First Rank holder in M.Tech, he blends technical excellence with societal relevance. His dedication to renewable energy, electric mobility, and climate change mitigation through green technologies aligns with national sustainability missions. His contributions make him a strong candidate for the Best Researcher Award, reflecting innovation, impact, and academic leadership.




















































🎓 Education 


Dr. Lalith Pankaj Raj earned his Ph.D. in Energy Engineering from The Gandhigram Rural Institute (Ministry of Education, GoI), where he was awarded the prestigious DST INSPIRE Fellowship. He completed his M.Tech in Renewable Energy with a stellar CGPA of 9.19, securing the First Rank and Gold Medal. He also holds a Certificate in Energy Auditing with distinction (CGPA 10) from the same institution. His B.E. in Electrical and Electronics Engineering was obtained from PSNA College of Engineering and Technology, affiliated with Anna University, with a CGPA of 7.95. His strong academic foundation is complemented by excellence in pre-university studies, including 89.2% in SSLC. His project work spans energy auditing, photovoltaic thermal systems, and smart vehicle technologies.


🏢 Work Experience 


Dr. Lalith Pankaj Raj has rich academic and research experience in the field of renewable energy, combining field implementation with high-impact research. He currently serves as a DST INSPIRE Fellow at The Gandhigram Rural Institute, where he is executing a pioneering project on a Combined Solar Photovoltaic-Based Micro Cold Storage–E-Mobility–Nano Grid system to benefit rural farmers. He previously conducted advanced studies on hybrid photovoltaic thermal systems and energy benchmarking for grid-tied solar rooftops in collaboration with REC-IPMT, Ministry of Power. His undergraduate innovations include vehicle emission control systems. His active involvement in field audits, training, and technical assessments reflects hands-on expertise. His career reflects a trajectory of applying research to real-world sustainability and rural development goals.


🏅 Awards and Honors 


Dr. Lalith Pankaj Raj is a recipient of the DST INSPIRE Fellowship from the Department of Science and Technology, Government of India—one of the nation’s most competitive awards for research excellence. He earned a Gold Medal and First Rank in his M.Tech program in Renewable Energy. His academic excellence has been consistently recognized with top scores and distinctions throughout his career, including a perfect CGPA in his Certificate in Energy Auditing. He has been honored for presenting high-impact research and contributing to national renewable energy forums. His Google Scholar metrics (262 citations, h-index 10, i10-index 11) demonstrate academic impact and scholarly recognition. His strong track record of innovation and excellence has earned him national and institutional acclaim.


🔬 Research Focus 
































































Dr. Lalith Pankaj Raj’s research centers on sustainable energy technologies with applications in rural development. His key areas include solar photovoltaics, thermoelectric refrigeration, electric mobility, vehicle-to-grid integration, smart grids, and energy conservation. His Ph.D. work focuses on a novel solar photovoltaic-based cold storage and nanogrid system aimed at enhancing the livelihoods of rural farmers. He is passionate about building integrated renewable systems, Net Zero energy buildings, and climate change mitigation through energy efficiency. His interdisciplinary work bridges technical innovation and social impact, promoting low-carbon solutions and decentralized energy systems. With a sharp focus on practical implementation and policy relevance, his research contributes to India’s renewable energy transition and aligns with global sustainability goals.




























































































📊 Publication Top Notes:


1. Energy conservation approach for continuous power quality improvement: A case study
Authors: LPR Nadimuthu, K Victor, CH Basha, T Mariprasath, C Dhanamjayulu, et al.
Journal: IEEE Access, Vol. 9, pp. 146959–146969
Citations: 48
Year: 2021


2. Environmental friendly micro cold storage for last-mile Covid-19 vaccine logistics
Authors: LPR Nadimuthu, K Victor
Journal: Environmental Science and Pollution Research, 29(16), 23767–23778
Citations: 39
Year: 2022


3. Performance analysis and optimization of solar-powered E-rickshaw for environmental sustainability in rural transportation
Authors: LPR, GN Kirubakaran V
Journal: Environmental Science and Pollution Research, Vol. 28, pp. 34278–34289
Citations: 32
Year: 2021


4. Energy Efficiency Enhancement and Climate Change Mitigations of SMEs through Grid-Interactive Solar Photovoltaic System
Authors: LPR, GN Kirubakaran V
Journal: International Journal of Photoenergy
Citations: 32
Year: 2021


5. Hybrid photovoltaic-thermal systems: innovative CHP approach
Authors: PRGN Lalith, G Prabakaran, A Murugaiyan, V Kirubakaran
Conference: 4th International Conference on Electrical Energy Systems (ICEES), pp. 726–730
Citations: 19
Year: 2018


6. Simulation and experimental study on performance analysis of solar photovoltaic integrated thermoelectric cooler using MATLAB Simulink
Authors: LPR Nadimuthu, DA Selvaraj, K Victor
Journal: Thermal Science, 26(2 Part A), pp. 999–1007
Citations: 16
Year: 2022


7. Fast thermal degradation of biomass using scrapped solar cell with special focus on photovoltaic (PV) waste disposal
Authors: GN Lalith Pankaj Raj Nadimuthu, VM Karthik, M Mohanraj, V Kirubakaran
Book Chapter: Waste Valorisation and Recycling: 7th IconSWM—ISWMAW 2017, Volume 2, pp. 349–361
Citations: 16
Year: 2019


8. Bench marking of grid tied solar roof top photovoltaic system: a case comparison
Authors: GNP, S. S. Chopade, L. P. Raj
Journal: International Journal of Engineering & Technology, 7(2.33), pp. 553–556
Citations: 15
Year: 2018


9. Optimization of energy-intensive process in ayurvedic medicine manufacturing unit—a case study
Authors: LPR Nadimuthu, K Victor
Journal: Process Integration and Optimization for Sustainability, 5(4), pp. 975–992
Citations: 13
Year: 2021


10. Monitoring and simulation of parabolic trough collector powered vapor absorption refrigeration system for rural cold storage
Authors: DA Selvaraj, LPR Nadimuthu, K Victor
Journal: Thermal Science, 26(2 Part A), pp. 975–982
Citations: 12
Year: 2022


11. Feasibility of renewable energy microgrids with vehicle-to-grid technology for smart villages: A case study from India
Authors: LPR Nadimuthu, K Victor, M Bajaj, MB Tuka
Journal: Results in Engineering, Vol. 24, Article 103474
Citations: 11
Year: 2024


12. An experimental and spectroscopic investigation on pongamia pinata as liquid dielectrics for rural micro grid under various load conditions
Authors: LPR Nadimuthu, NS Moorthy, K Victor, M Thenkaraimuthu, B Khan, A Ali
Journal: Scientific Reports, 14(1), Article 19653
Citations: 3
Year: 2024


13. Waste Valorisation and Recycling
Authors: JP Sarkar, B Das (Book includes contribution by GN Lalith Pankaj Raj Nadimuthu)
Publisher: Springer
Citations: 3
Year: 2019

	


	

	






	
	

		


Shiva Khani | plasmonic | Best Researcher Award
			

				Posted on  by sciencefather			

		
	


	

		
Assist. Prof. Dr.Shiva Khani| plasmonic

|Best Researcher Award




 


Assist. Prof.at Semnan University, Iran.


 


Dr. Shiva Khani is an Assistant Professor at Semnan University, Iran, specializing in electrical engineering with a strong research focus on plasmonics, nonlinear optics, and sensor design. She earned her Ph.D. from Semnan University in 2020, followed by a postdoctoral fellowship at Razi University. Dr. Khani has published in reputed international journals such as Results in Optics, Heliyon, and Optical and Quantum Electronics. Her recent works highlight advancements in refractive index sensors, Fano resonance, and plasmonic filters. She brings expertise in simulation software such as Lumerical, CST, and ADS. With growing impact in nanophotonics and biosensing applications, she is a promising researcher in the field of photonic and microwave circuit design.




🌍 Professional Profile:


Scopus


Google scholar


🏆 Suitability for the Best Researcher Award


 






































Dr. Shiva Khani is a strong contender for the Best Researcher Award due to her innovative contributions to the fields of plasmonics, optical sensors, and nonlinear optics. Her research addresses critical challenges in high-resolution sensing and miniaturized photonic devices, making her work highly relevant to emerging technologies in health and environmental monitoring. With multiple first-author publications in top-tier journals in 2023–2025 and active collaborations with international researchers, she has demonstrated both leadership and impact in her field. Her postdoctoral and academic experience further reflect a trajectory of scholarly growth. Dr. Khani’s fusion of theory, simulation, and practical device design exemplifies research excellence, innovation, and interdisciplinary relevance—key qualities for this prestigious award.






































🎓 Education 


Dr. Shiva Khani holds a B.Sc. in Electrical Engineering from Razi University, Kermanshah (2007–2011), followed by an M.Sc. in Electrical Engineering from the Islamic Azad University, Science and Research Branch, Kermanshah (2012–2014). She earned her Ph.D. in Electrical Engineering from Semnan University in 2020, where she focused on advanced topics in plasmonic and photonic device design. Following her Ph.D., she pursued postdoctoral research at Razi University (2021–2022), further enhancing her expertise in sensor development and microwave photonics. Her academic path has been marked by a consistent focus on innovative device design, supported by strong theoretical and simulation capabilities.


🏢 Work Experience 


Dr. Khani currently serves as an Assistant Professor in the Department of Electrical Engineering at Semnan University, a position she began in 2024. Prior to this, she completed a postdoctoral fellowship at Razi University (2021–2022), where she conducted research on nonlinear optical devices and biosensors. Her experience includes teaching undergraduate and postgraduate courses, mentoring students, and leading independent research projects in plasmonics and sensor technology. She is proficient in high-end simulation software tools such as Lumerical, CST, and ADS, enabling her to design and optimize complex nanophotonic devices. Dr. Khani’s academic and research experiences equip her to contribute significantly to both education and innovation in electrical and photonic engineering.


🏅 Awards and Honors 


While Dr. Shiva Khani’s record does not list specific named awards to date, her growing citation count, publication in leading international journals, and appointment as Assistant Professor at Semnan University indicate academic recognition and rising impact. Her selection for a postdoctoral fellowship at Razi University reflects peer recognition of her research competence. Moreover, her lead authorship in advanced sensor design papers and collaborations with international scholars highlight her emerging reputation. Her work contributes to key technologies such as high-resolution biosensors and compact plasmonic filters, aligning with global scientific priorities. With ongoing publications in SCI-indexed journals, Dr. Khani is well-positioned to receive competitive research awards in the near future.


🔬 Research Focus 
































































Dr. Khani’s research centers on plasmonics, nonlinear optics, and sensor and biosensor technologies. Her work explores how nanoscale metal-dielectric structures can enhance optical sensing performance through phenomena such as Fano resonance and surface plasmon resonance (SPR). She has designed high-resolution refractive index sensors and wideband plasmonic filters for integrated photonic circuits. Additionally, she investigates the application of microwave circuits in photonic system integration. Her publications reflect a balance between theoretical modeling, numerical simulation, and practical device functionality. Dr. Khani leverages advanced software (Lumerical, CST, ADS) to simulate and optimize next-generation optical devices. Her research contributes to biomedical diagnostics, environmental sensing, and nano-optoelectronic systems.




























































































📊 Publication Top Notes:


    

  1. 

    Khani, S., Danaie, M., & Rezaei, P. (2018).
    Realization of single-mode plasmonic bandpass filters using improved nanodisk resonators.
    Optics Communications, 420, 147–156.
    Citations: 110
    

    2. 

  2. 

    Khani, S., & Hayati, M. (2022).
    Optical biosensors using plasmonic and photonic crystal band-gap structures for the detection of basal cell cancer.
    Scientific Reports, 12(1), 5246.
    Citations: 97
    

    3. 

  3. 

    Khani, S., & Hayati, M. (2021).
    An ultra-high sensitive plasmonic refractive index sensor using an elliptical resonator and MIM waveguide.
    Superlattices and Microstructures, 156, 106970.
    Citations: 91
    

    4. 

  4. 

    Khani, S., Danaie, M., & Rezaei, P. (2019).
    Design of a single-mode plasmonic bandpass filter using a hexagonal resonator coupled to graded-stub waveguides.
    Plasmonics, 14, 53–62.
    Citations: 85
    

    5. 

  5. 

    Armaghani, S., Khani, S., & Danaie, M. (2019).
    Design of all-optical graphene switches based on a Mach-Zehnder interferometer employing optical Kerr effect.
    Superlattices and Microstructures, 135, 106244.
    Citations: 70
    

    6. 

  6. 

    Khani, S., Danaie, M., & Rezaei, P. (2018).
    Double and triple-wavelength plasmonic demultiplexers based on improved circular nanodisk resonators.
    Optical Engineering, 57(10), 107102.
    Citations: 70
    

    7. 

  7. 

    Khani, S., & Hayati, M. (2022).
    Optical sensing in single-mode filters based on surface plasmon H-shaped cavities.
    Optics Communications, 505, 127534.
    Citations: 69
    

    8. 

  8. 

    Khani, S., Danaie, M., & Rezaei, P. (2019).
    Tunable Single-Mode Bandpass Filter Based on Metal-Insulator-Metal Plasmonic Coupled U-Shaped Cavities.
    IET Optoelectronics.
    Citations: 65
    

    9. 

  9. 

    Khani, S., Vald Makki, S., Mousavi, S.M.H., Danaie, M., & Rezaei, P. (2017).
    Adjustable compact dual-band microstrip bandpass filter using T-shaped resonators.
    Microwave and Optical Technology Letters, 59(12), 2970–2975.
    Citations: 62
    

    10. 

  10. 

    Khani, S., Farmani, A., & Mir, A. (2021).
    Reconfigurable and scalable 2, 4- and 6-channel plasmonics demultiplexer utilizing symmetrical rectangular resonators containing silver nano-rod defects with FDTD method.
    Scientific Reports, 11(1), 13628.
    Citations: 59
    

    11. 


	


	

	






	
	

		


Frantisek Wald | Fire engineering | Best Researcher Award
			

				Posted on  by sciencefather			

		
	


	

		
Prof. Frantisek Wald| Fire engineering

|Best Researcher Award




 


Prof. Frantisek Wald Czech Technical University, Czech Republic.


Professor František Wald is a leading expert in steel and timber structures at Czech Technical University in Prague. With over three decades of dedicated research in structural steel joints and fire engineering, he has pioneered academic programs in fire safety and led several EU-wide collaborations such as COST TU and Erasmus Mundus SUSCOS. His leadership roles in European technical committees and presidency of the ECCS (2023–2024) reflect his significant influence in civil engineering. His prolific research, international impact, and innovation in structural safety under fire and seismic conditions make him a highly suitable candidate for the Best Researcher Award. His work bridges advanced theory and practical design, contributing extensively to safety standards and sustainable construction practices in Europe.




🌍 Professional Profile:


Orcid


Scopus


🏆 Suitability for the Best Researcher Award






































Professor František Wald is a pioneering researcher in structural steel joints and fire engineering, with over three decades of impactful contributions to structural safety. His work has advanced European standards through leadership in technical committees (TC10 Joints, TC3 Fire, TC14 FEM) and his role in drafting prEN1993-1-8. As President of ECCS (2023–2024), he strengthened international cooperation in steel construction. He has initiated and led transformative research projects such as FISHWALL and MADESCO, combining theory with real-world application. His academic influence is evident through the creation of comprehensive fire safety programs. With strong citation metrics and global collaborations, Prof. Wald exemplifies excellence in research, education, and innovation, making him a highly deserving candidate for the Best Researcher Award.






































🎓 Education 


František Wald pursued his engineering education at the Czech Technical University in Prague, where he laid the foundation for his career in structural engineering. He earned his doctoral degree with a focus on steel structures and fire safety, contributing to the advancement of structural resilience under extreme conditions. Over the years, he expanded his academic influence by establishing bachelor’s, master’s, and doctoral programs dedicated to building fire safety, reflecting a commitment to both education and research. His expertise was further refined through collaboration with European academic institutions, shaping international educational programs like the Erasmus Mundus Master’s in Steel Structures (SUSCOS), which he co-developed. His academic background exemplifies a lifelong dedication to technical excellence and educational innovation in structural engineering.


🏢 Work Experience 


Professor Wald has over 30 years of experience in structural engineering, primarily at Czech Technical University in Prague. Since 1992, he has actively contributed to European technical committees including TC10 (Joints), TC3 (Fire), and TC14 (FEM). He also worked on the drafting of prEN1993-1-8, influencing steel joint design standards across Europe. His academic leadership includes establishing multi-level fire safety programs and managing international networks like the COST TU on Fire Engineering. As president of ECCS (2023–2024), he fostered collaboration across Europe’s steel construction community. His consultancy roles and applied research in projects like Steel Hall 4.0 reflect a strong connection to industry. His experience blends academic excellence with real-world application and international research coordination.


🏅 Awards and Honors 


Professor Wald’s distinguished career has been recognized through numerous honors. Most notably, he served as President of the European Convention for Constructional Steelwork (ECCS) from 2023 to 2024, a prestigious role acknowledging his leadership in steel construction research. He has received recognition for his coordination of major European programs including Erasmus Mundus SUSCOS and COST TU networks. His citation impact is substantial, with over 830 citations on Scopus and an h-index of 17, reflecting sustained scholarly influence. His projects have earned competitive funding from EU programs (e.g., RFCS, GACR), demonstrating trust in his innovative approaches to steel structure safety. His awards underscore a career of sustained excellence, international collaboration, and impactful contributions to engineering science.


🔬 Research Focus 
































































Professor Wald’s research centers on the behavior of steel structures under fire and dynamic loads, with a focus on structural joints, resilience, and safety design. His work integrates experimental analysis, numerical modeling, and probabilistic methods to improve fire resistance and joint performance. He has led major EU projects such as FISHWALL, MADESCO, and DYNAFIRE, addressing seismic, fire, and structural challenges in industrial steel buildings. As a long-standing member of technical committees, he helps shape European design standards. He is also deeply involved in developing advanced modeling techniques (e.g., LMSTRAIN) and structural optimization through AI (e.g., MADESCO). His research is grounded in real-world impact, bridging theoretical development with design innovation for safer and more sustainable infrastructure.




























































































📊 Publication Top Notes:


    

  • 

    Title: Determination of design plastic strain limit for notched structural steel tensile specimens
    Authors: Kirill Golubiatnikov, Abhishek Ghimire, František Wald, Vojtěch Stančík
    Year: 2025
    Journal: Alexandria Engineering Journal
    DOI: 10.1016/j.aej.2025.02.075
    

    • 

  • 

    Title: Calibration of the Induction Heating System for Dynamic Compression Test
    Authors: T. Jankowiak, W. Szymkuć, M. Malendowski, K. Cabová, J. Šejna, V. Mózer, F. Wald
    Year: 2025
    Journal: Experimental Techniques
    DOI: 10.1007/s40799-025-00807-3
    

    • 

  • 

    Title: Fire Protection of Steel Beam by OSB Claddings—A Fire Experiment and Numerical Models
    Authors: Jakub Šejna, Vojtěch Šálek, Stanislav Šulc, Kamila Cábová, Vít Šmilauer, Slávek Zbirovský, Milan Jahoda, František Wald
    Year: 2025
    Journal: Fire and Materials
    DOI: 10.1002/fam.3260
    

    • 

  • 

    Title: Numerical Design Calculation of Fin Plate Connections in Fire
    Authors: Batuhan Der, Frantisek Wald, Martin Vild
    Year: 2024
    Book Chapter: in Lecture Notes in Civil Engineering
    DOI: 10.1007/978-981-97-1972-3_60
    

    • 

  • 

    Title: The influence of sandwich panel cladding on horizontal structure stiffness
    Authors: Břetislav Židlický, Jiří Mareš, František Wald
    Year: 2024
    Journal: Thin-Walled Structures
    DOI: 10.1016/j.tws.2024.111771
    

    • 

  • 

    Title: Application of hybrid cement in passive fire protection of steel structures
    Authors: Jakub Šejna, Stanislav Šulc, Vít Šmilauer, Pavel Reiterman, František Wald
    Year: 2024
    Journal: Journal of Structural Fire Engineering
    DOI: 10.1108/JSFE-01-2023-0007
    

    • 

  • 

    Title: Analytical resistance of the laterally offset rectangular hollow sections connections under concentrated force
    Authors: Svitlana Kalmykova, František Wald
    Year: 2023
    Journal: Structures
    DOI: 10.1016/j.istruc.2023.105484
    

    • 

  • 

    Title: Optimisation of fatigue solution for welded T-stub joints by grading of FAT classes and correction of mean stress effect
    Authors: Kirill Golubiatnikov, Frantisek Wald, Martin Vild, Josef Holomek
    Year: 2023
    Journal: Structures
    DOI: 10.1016/j.istruc.2023.105582
    

    • 

  • 

    Title: Weld size and resistance in rectangular hollow section T-joints
    Authors: Petr Jehlicka, Frantisek Wald
    Year: 2023
    Journal: Heliyon
    DOI: 10.1016/j.heliyon.2023.e22689
    

    • 

  • 

    Title: The partial fire protection of steel members: a comparative study
    Authors: Jakub Šejna, Patrik Dobrovolný, František Wald
    Year: 2023
    Journal: Journal of Structural Fire Engineering
    DOI: 10.1108/JSFE-01-2023-0001
    

    • 

  • 

    Title: Emissivity of hot-dip galvanized surfaces in future development of EN 1993-1-2
    Authors: Batuhan Der, Sylvie Raszková, František Wald, Gisèle Bihina, Christian Gaigl, Vasile Rus, Mikko Malaska
    Year: 2022
    Journal: Journal of Structural Fire Engineering
    DOI: 10.1108/JSFE-11-2021-0070
    

    • 


	


	

	






	
	

		


Changxin Yu | Digital technology | Best Researcher Award
			

				Posted on  by sciencefather			

		
	


	

		
Dr. Changxin Yu | Digital technology

|Best Researcher Award




 


Dr at Beijing Institute of Technology ,China.


Changxin Yu is a Ph.D. candidate in Applied Economics at Beijing Institute of Technology. Her research bridges agricultural economics and digital technology, focusing on their combined impact on productivity, sustainability, and innovation. She has investigated public perceptions of GMOs, the role of R&D in Chinese pesticide firms, and the productivity effects of modern biotechnology. Yu applies empirical models, including machine learning, to analyze how digital technologies—such as industrial robots and digital trade—contribute to green development and economic transformation. Her work is published in leading journals, including Technological Forecasting and Social Change. With interdisciplinary expertise, she continues to explore how digital tools can enhance agricultural and manufacturing sector performance, contributing to China’s sustainable economic growth.




🌍 Professional Profile:


Scopus


🏆 Suitability for the Best Researcher Award




 






































Changxin Yu exemplifies the qualities sought in a Best Researcher Award recipient. Her work seamlessly integrates applied economics, digital innovation, and sustainability—a rare and valuable interdisciplinary nexus. She has produced high-impact research on topics such as industrial robots’ role in green growth and the effect of digital trade on agricultural productivity. Her ability to apply cutting-edge empirical and machine learning techniques enhances the credibility and applicability of her findings. With several prestigious publications and international collaborations, her research has advanced understanding of sustainable development and digital adoption in agriculture and manufacturing. Yu’s academic rigor, innovative approach, and commitment to real-world challenges position her as a strong candidate for the award.






































🎓 Education 


Changxin Yu has a robust academic background that spans economics, management, and agriculture. She is currently pursuing a Ph.D. in Applied Economics at Beijing Institute of Technology (2019–present), focusing on digital and green economic development. She also holds a Master’s degree in Management Science and Engineering (2017–2019) from the same institution. Her undergraduate education was completed at Beijing Forestry University, where she earned a Bachelor’s degree in Agricultural and Forestry Economic Management (2013–2017). Her multidisciplinary training enables her to address complex challenges across agricultural economics, digital transformation, and environmental sustainability. Through this academic trajectory, Yu has cultivated a deep understanding of the socioeconomic implications of digital tools in agriculture and industry, strengthening her research versatility.


🏢 Work Experience 


Changxin Yu has a diverse range of research experience rooted in interdisciplinary projects. She has worked on USDA-funded studies examining the impact of public and private R&D investment on total factor productivity in China. Her academic and project-based research focuses on digital adoption in agriculture, industrial innovation, and environmental sustainability. She has analyzed the economic effects of GMOs, digital trade, and robotics in manufacturing. Through these experiences, she has developed strong skills in data analysis, policy assessment, and empirical modeling. Yu’s contributions extend beyond academia to inform policy and innovation strategies in agriculture and industry. Her professional journey is marked by her involvement in internationally collaborative projects and publications in well-regarded scientific journals.


🏅 Awards and Honors 


While specific awards are not listed, Changxin Yu has earned academic recognition through her involvement in high-impact research projects and publications in reputable journals such as Technological Forecasting and Social Change. Her selection for a USDA-funded research initiative reflects her capabilities and potential for influencing policy and practice. Additionally, her ongoing doctoral research incorporates advanced econometric and machine learning techniques, distinguishing her in the field of applied economics. Yu’s research contributions have gained attention in academic and policy circles for their relevance to green development, digital transformation, and agricultural innovation. Given the scope and impact of her work, she is likely to be a strong contender for academic and research honors in the near future.


🔬 Research Focus 
































































Changxin Yu’s research sits at the intersection of applied economics, digital transformation, and sustainable development. She focuses on how digital technologies, such as industrial robots and digital trade platforms, impact agricultural productivity and green growth. Her current doctoral research investigates the effects of modern biotechnology on agricultural total factor productivity (TFP), using robust empirical and machine learning methods. Yu also examines the economic implications of public and private R&D investments, particularly in agriculture and manufacturing. Her work has explored public attitudes toward GMOs and the economic impact of carbon abatement via digitalization. By analyzing how emerging technologies reshape economic systems, her research provides valuable insights for policy makers, academics, and industries working toward sustainable innovation.




























































































📊 Publication Top Notes:


Citation:
Deng, H., Yu, C., Pray, C. E., & Jin, Y. (Forthcoming). How is China Shaping Global Food Supply Chains? Insights from the Seed Industry. European Review of Agricultural Economics.


Authors:


    

  • 

    Haiyan Deng
    

    • 

  • 

    Changxin Yu
    

    • 

  • 

    Carl E. Pray
    

    • 

  • 

    Yanhong Jin* (Corresponding author)
    

    • 



Year:
Forthcoming (Accepted, not yet published)


Citation:
Deng, H., Huang, Z., Wu, J., Güneri, F., Shen, Z., & Yu, C.* (2025). Harnessing the power of industrial robots for green development: Evidence from China’s manufacturing industry. Technological Forecasting and Social Change, 215, 124099. https://doi.org/10.1016/j.techfore.2025.124099


Authors:


    

  • 

    Haiyan Deng
    

    • 

  • 

    Zhonghua Huang
    

    • 

  • 

    Jian Wu
    

    • 

  • 

    Fatma Güneri
    

    • 

  • 

    Zhiyang Shen
    

    • 

  • 

    Changxin Yu* (Corresponding author)
    

    • 



Year:
2025


Citation:
Hu, R., Yu, C., Jin, Y., Pray, C., & Deng, H. (2022). Impact of government policies on research and development (R&D) investment, innovation, and productivity: Evidence from pesticide firms in China. Agriculture, 12(5), 709. https://doi.org/10.3390/agriculture12050709


Authors:


    

  • 

    Ruifa Hu
    

    • 

  • 

    Changxin Yu
    

    • 

  • 

    Yanhong Jin
    

    • 

  • 

    Carl Pray
    

    • 

  • 

    Haiyan Deng
    

    • 



Year:
2022

	


	

	






	
	

		


Zhenyun Tang |Structural engineering |Best Research Article Award
			

				Posted on  by sciencefather			

		
	


	

		
Prof. Dr. Zhenyun Tang | Structuralengineering

|Best Research Article Award




 


Professor at BEIJING UNIVERSITY OF TECHNOLOGY ,China.


 


Professor Tang Zhenyun is a distinguished expert in earthquake engineering and disaster mitigation at Beijing University of Technology. As a doctoral supervisor, he contributes significantly to experimental seismic technology and structural vibration control. He serves on multiple national youth editorial and technical committees focused on disaster resilience. His innovative research spans real-time hybrid simulation, base isolation systems, and tuned liquid dampers. Tang has authored high-impact papers in top journals like International Journal of Structural Stability and Dynamics and Soil Dynamics and Earthquake Engineering. He has earned prestigious awards, including the Silver Medal at the Geneva International Exhibition of Inventions and the First Prize from the China Highway and Transportation Society. His scholarly excellence makes him a prime candidate for the Best Research Article Award.




🌍 Professional Profile:


Scopus


🏆 Suitability for the Best Research Article Award




 














































Professor Tang Zhenyun is an internationally recognized scholar in earthquake engineering, whose research integrates experimental innovation and practical seismic mitigation strategies. His recent articles in high-impact journals such as Soil Dynamics and Earthquake Engineering and International Journal of Structural Stability and Dynamics reflect cutting-edge advancements in vibration control, base isolation, and real-time hybrid simulation. His award-winning work—recognized by the China Inspection and Testing Society, Geneva International Exhibition of Inventions, and others—demonstrates both theoretical depth and practical impact. As a doctoral supervisor and active member of key professional societies, Professor Tang’s research not only advances academic knowledge but also contributes to safer infrastructure. His scientific rigor and innovation make him highly suitable for the Best Research Article Award.














































🎓 Education 


Professor Tang Zhenyun holds a Ph.D. in Engineering, specializing in structural dynamics and earthquake resilience. His doctoral research laid a solid foundation in advanced experimental methods, real-time hybrid simulation, and vibration control technologies for civil infrastructure. He has received comprehensive academic training from leading Chinese institutions, culminating in his doctoral degree, which has empowered him to contribute meaningfully to seismic safety and geotechnical innovation. Throughout his education, Professor Tang demonstrated exceptional academic merit and research capability, which propelled him into a prominent academic and professional trajectory. His educational background enables him to mentor graduate and doctoral students while advancing theoretical and applied research in structural and earthquake engineering.


🏢 Work Experience 


With extensive academic and research experience, Professor Tang Zhenyun serves as a full professor and doctoral supervisor at Beijing University of Technology. He has led and collaborated on national research projects involving seismic mitigation, vibration control, and soil-structure interaction. Tang has developed innovative real-time hybrid simulation techniques and applied them to civil engineering challenges, producing highly cited publications. His engineering expertise is recognized nationally and internationally, and he has played key roles on editorial boards and professional committees in earthquake prevention and disaster resilience. He also bridges academia and industry through applied research, contributing to testing standards and resilient infrastructure development. His multifaceted experience underscores his suitability for awards recognizing impactful and applied research in structural safety.


🏅 Awards and Honors 


Professor Tang Zhenyun has received numerous national and international honors recognizing his contributions to seismic engineering. These include the First Prize from the China Inspection and Testing Society (1/15) and the Second Prize from the Fujian Science and Technology Awards (2/7). He won the Silver Medal at the Geneva International Exhibition of Inventions (1/5) for his innovative engineering solutions. As the sole recipient (1/1) of the Personal Prize from the China Industry-University-Research Institute Collaboration Association, Tang demonstrated exceptional leadership in applied research. He also contributed to the First Prize from the China Highway and Transportation Society (11/15). These accolades collectively reflect his groundbreaking research, interdisciplinary collaborations, and impactful innovations in earthquake resilience and structural safety.


🔬 Research Focus 
































































Professor Tang Zhenyun’s research is centered on earthquake engineering, with specific expertise in experimental technology, base isolation, seismic mitigation, and vibration control. He specializes in real-time hybrid simulation, where he develops and applies novel methods to model complex soil-structure systems under seismic loads. His studies have advanced the use of GPU computing for structural simulations and proposed new frequency-domain analysis techniques for systems employing tuned liquid dampers. Tang’s work on the stability of hybrid testing systems and parameter identification in dynamic models has influenced the development of resilient infrastructure. His research addresses both theoretical modeling and practical application, making significant contributions to safety-critical structures in earthquake-prone regions and aligning with national resilience strategies.




























































































📊 Publication Top Notes:


    

  1. 

    Yang, B., Li, Z., Lv, J., Tang, Z., & Wang, L. (2025). Experimental study on load-bearing capacity of T-shaped semi-rigid connected double skin composite shear walls. KSCE Journal of Civil Engineering.
    Citations: 1
    

    2. 

  2. 

    Shang, Q., Tang, Z., & Wang, T. (2024). Component-level seismic fragility database of suspended piping systems in buildings. Earthquake Engineering and Resilience.
    Citations: 0
    

    3. 

  3. 

    Li, X., Tang, Z., & Du, X.L. (2024). Identification of stable parameters for discrete-time rational approximation of MDOF frequency response functions in semi-infinite media. Gongcheng Lixue/Engineering Mechanics.
    Citations: 1
    

    4. 

  4. 

    Liu, H., Tang, Z., & Enokida, R. (2024). Stability prediction method of time-varying real-time hybrid testing system on vehicle-bridge coupled system. Mechanical Systems and Signal Processing.
    Citations: 1
    

    5. 

  5. 

    Tang, Z., Li, J., Wang, M., Yu, C., & Li, Z. (2024). Investigation on bearing resistance of thin-walled circular steel tube subjected to eccentric loading. Advances in Structural Engineering.
    Citations: 0
    

    6. 

  6. 

    Yi, S., Su, T., & Tang, Z. (2024). Robust adaptive Kalman filter for structural performance assessment. International Journal of Robust and Nonlinear Control.
    Citations: 4
    

    7. 

  7. 

    Wu, Y., Dong, X., Liao, W., Zheng, G., & Shang, H. (2024). Field dynamic characteristics testing of foundation isolation structures under horizontal initial displacement. Zhendong Gongcheng Xuebao/Journal of Vibration Engineering.
    Citations: 1
    

    8. 

  8. 

    Liu, H., & Tang, Z. (2024). Stability prediction method for real-time hybrid test system based on the measured dynamics of physical test system. Soil Dynamics and Earthquake Engineering.
    Citations: 0
    

    9. 

  9. 

    Tang, Z., & Li, X. (2023). Stable parameters identification for rational approximation of single degree of freedom frequency response function of semi-infinite medium. International Journal for Numerical Methods in Engineering.
    Citations: 0
    

    10.