Prof ShaoHua Zhou | Innovative Leadership | Best Research Article Award

Prof ShaoHua Zhou | Innovative Leadership | Best Research Article Award

Zhongyuan University of Technology, China

Author Profile

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🎓 Early Academic Pursuits

Dr. Shaohua Zhou, born in December 1995, is a prodigious talent whose academic journey began with a strong foundation in engineering, eventually leading to the attainment of a Ph.D. in the field. From the earliest stages of his education, Dr. Zhou exhibited a profound interest in electronic systems, intelligent optimization, and RF circuit design. His curiosity for scientific challenges and his commitment to problem-solving quickly propelled him toward more specialized studies. He soon established a reputation for academic excellence, underpinned by his selection for prestigious programs such as the Polish National Academic Exchange Scholarship—an award limited to only ten recipients globally in 2019. This formative period laid the groundwork for his eventual ascent into complex research territories that marry artificial intelligence with the intricate design of radio-frequency (RF) integrated circuits.

🧪 Professional Endeavors

As a core research backbone in multiple high-level national projects—including the National Major Science and Technology Special Project, National Key R&D Program, National Foundation Commission Key Projects, and the JKW Innovation Special Zone Project—Dr. Zhou has firmly established himself as an indispensable figure in advanced engineering research. Over the last four years, his primary focus has centered on the behavioral modeling of RF power amplifiers (PAs), a field critical to the advancement of next-generation wireless communication systems. His methodology combines artificial intelligence with practical engineering, exemplified by innovations such as Particle Swarm Optimization-XGBoost-based modeling—a technique recognized among Wiley’s Top 10 Most Cited Papers in 2023. Through his involvement in more than ten major projects, he has developed a pragmatic yet innovative approach to technical challenges, applying AI solutions to real-world RF performance bottlenecks.

🔬 Contributions and Research Focus

Dr. Zhou’s publication record reflects the depth and relevance of his research. With 26 SCI-indexed papers where he serves as both first and sole corresponding author, he contributes significantly to scholarly discourse in his discipline. Notably, his work has appeared in highly respected journals like the International Journal of Numerical Modelling: Electronic Networks, Devices and Fields. One of his papers was distinguished by Advances in Engineering (AIE) as a Key Scientific Article, an honor reserved for just 1% of published works. Beyond academic publishing, his inventive spirit is evident in his substantial patent portfolio—55 international patents granted in the UK and US, 30 Chinese invention patents, and 12 software copyrights—a testimony to the practical applicability of his research.

He has also made regulatory and standards contributions, playing a vital role in the drafting and revision of two national/local technical metrology specifications. His efforts in this arena earned him the distinction of Excellent Drafter by the National Technical Committee for Radio Metrology in 2024. Furthermore, Dr. Zhou was entrusted with writing a chapter in an international English-language monograph, underscoring his growing stature as a thought leader.

🏅 Accolades and Recognition

Dr. Zhou’s academic brilliance and research excellence have been recognized through numerous prestigious awards. Among these are the First Prize from the China Instrumentation Society Scholarship, the First Prize of the Integrated Circuit Scholarship awarded by the Chinese Institute of Electronics, and the Baosteel Outstanding Student Scholarship. These recognitions highlight not only the quality of his research but also his influence as a young scholar within China’s technology and engineering ecosystem. Additionally, one of his research results was named among the Top Ten Research Advances in Semiconductors in 2024, demonstrating his broader impact on one of the most crucial high-tech sectors in the world.

🌍 Impact and Influence

Beyond individual accolades, Dr. Zhou’s influence extends into mentorship and academic leadership. He successfully supervised a student team that won second prize at the 19th National Intelligent Vehicle Competition for College Students, fostering innovation and excellence in the next generation of engineers. His global perspective, reinforced by international exposure and collaborative projects, enables him to bridge theory and application across geographical and disciplinary boundaries. His contributions are shaping not just academic thought but also the practical design and performance of integrated circuits vital to global communications infrastructure.

🚀 Legacy and Future Contributions

Looking ahead, Dr. Shaohua Zhou is poised to continue making substantial contributions at the nexus of artificial intelligence, RF design, and semiconductor innovation. His work addresses some of the most pressing challenges in engineering today—such as miniaturization, energy efficiency, and intelligent design automation. His pioneering efforts in AI-based modeling are likely to play a pivotal role in the design of future wireless systems and smart devices.

With an enviable track record already behind him and a visionary outlook guiding his path, Dr. Zhou’s career is on a remarkable trajectory. His legacy will be one of intellectual rigor, technological innovation, and collaborative leadership, paving the way for smarter, more efficient, and more sustainable electronic systems.

Experimentally investigating the degradations of small-signal gain for a GaN class-AB dual-band power amplifier under high temperature and humidity conditions

Author: S. Zhou
Journal: AIP Advances
Year: 2020

BPNN-based behavioral modeling of the S-parameter variation characteristics of PAs with frequency at different temperatures

Authors: Z. He, S. Zhou
Journal: Micromachines
Year: 2022

 Experimentally investigating the performance degradations of the CMOS PA at different temperatures

Authors: Z. He, S. Zhou, M. Nie
Journal: AIP Advances
Year: 2021

Experimental investigation on the performance degradations of the GaN class-F power amplifier under humidity conditions

Author: S. Zhou
Journal: Semiconductor Science and Technology
Year: 2021

Particle swarm optimization‐XGBoost‐based modeling of radio‐frequency power amplifier under different temperatures

Authors: J. Wang, S. Zhou
Journal: International Journal of Numerical Modelling: Electronic Networks, Devices and Fields
Year: 2024

Prof Dr. Chengming Wang | Decision-making and Problem-solving | Best Researcher Award

Prof Dr. Chengming Wang | Decision-making and Problem-solving | Best Researcher Award

Huazhong Agricultural University, China

Author Profile

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🌱 Early Academic Pursuits

Chengming Wang’s academic journey began with a strong foundation in analytical chemistry, earning both his Bachelor’s and Master’s degrees from Wuhan University, China. His early studies in this field laid the groundwork for his methodical approach to food sciences and his future innovations in oils and fats processing. Following this, his academic curiosity led him abroad, where he pursued a Ph.D. in Material Engineering at Fukui University in Japan. His time in Japan was marked by intense academic training and cross-cultural scientific exchange, sharpening his research skills and instilling a global perspective in his work. Upon returning to China, he continued to deepen his expertise by completing a postdoctoral fellowship at Huazhong Agricultural University in the field of Food Science and Engineering. These formative years were not only academically enriching but pivotal in shaping the direction of his lifelong research ambitions.

🧪 Professional Endeavors and Research Focus

Throughout his distinguished career, Professor Wang has carved a niche in the area of oils and fats processing, with an exceptional focus on the comprehensive utilization of agricultural by-products. His research extends across an impressive range of topics, from the low-temperature ethanol steam deodorization of oils to the detection of illegal gutter oil. His work does not remain confined to theory—he has developed technologies for the physical, biological, and chemical removal of toxic elements from rapeseed meal and pioneered methods to create probiotic feed and high-value products from oilseed meals.

He has delved into developing efficient, green extraction technologies for by-products like phospholipids and phytosterols, ensuring that nothing goes to waste in the oil processing chain. His studies on cottonseed protein detoxification, tea seed saponin extraction, peanut beverages and protein functionalization, and Pistacia seed polyphenol applications demonstrate the breadth of his research vision. Moreover, he has made significant progress in biodiesel production from waste oil and agricultural residues, contributing to sustainable energy solutions.

This body of work stands not just as a scientific portfolio but as a roadmap to building a zero-waste, value-added agro-industrial ecosystem. With 119 published journal articles in international databases such as SCI and Scopus, 16 invention patents as the first inventor, and 2 published monographs, his scholarship has reached across academic and industrial spheres alike.

🏆 Accolades and Recognition

While formal accolades have not been enumerated, Professor Wang’s impact speaks volumes. His citation index includes widely referenced works such as his study on Lactobacillus plantarum and Staphylococcus warneri in traditional fermented foods, which has received 36 citations. His publications on acrylamide detoxification and novel edible oil deodorization methods further attest to his relevance in cutting-edge food safety and processing research. His research outputs have not only advanced academic knowledge but also laid the foundation for practical applications in food technology and bioenergy.

The breadth of his funded projects reflects his research reputation both at home and abroad. He has led or contributed to projects supported by the National Natural Science Foundation of China, the National Key R&D Program of China, and the Ministry of Education in Japan. These high-impact projects underscore the national and international trust placed in his scientific leadership.

🌍 Impact and Influence

Professor Wang’s influence goes beyond the confines of academia. His consultancy experience with seven projects and four industry collaborations signifies his role as a bridge between scientific theory and real-world application. These engagements have likely contributed to the commercialization and industrial scaling of his innovative processing technologies.

His work contributes meaningfully to several of the UN’s Sustainable Development Goals (SDGs), particularly those addressing responsible consumption and production, clean energy, and zero hunger. Through bioconversion of oil residues and extraction of plant-based proteins, his research offers alternative sources of nutrition and energy, directly impacting both public health and environmental sustainability.

🌟 Legacy and Future Contributions

Chengming Wang’s legacy is being built on the pillars of scientific rigor, innovation, and social responsibility. He stands as a role model for how researchers can convert basic scientific knowledge into applied technology that benefits society at large. His commitment to improving the efficiency and safety of oil and fat processing, while simultaneously enhancing the value of agricultural by-products, ensures that his work will continue to resonate across multiple disciplines and industries.

Looking to the future, his focus on pilot-scale and industrialized applications of biodiesel and rapeseed-based products promises to strengthen the global movement toward sustainable agriculture and green energy. His research lab, his patents, and the many students and collaborators he continues to inspire will serve as enduring vessels of his intellectual legacy.

In sum, Professor Chengming Wang exemplifies the kind of academic whose work is not only deeply scholarly but also profoundly impactful, with real-world applications that touch upon health, industry, energy, and the environment. His continued efforts promise to illuminate new paths in food science and technology, benefitting both current and future generations. 🌟

📝Notable Publications

 Bleaching of Idesia polycarpa Maxim. Oil Using a Metal-Organic Framework-Based Adsorbent: Kinetics and Adsorption Isotherms

Authors: Dong, Y.; Wang, C.; Gao, Y.; Xu, J.; Ping, H.; Liu, F.; Niu, A.
Journal: Foods
Year: 2025

Mesophilic Argonaute-Based Single Polystyrene Sphere Aptamer Fluorescence Platform for the Multiplexed and Ultrasensitive Detection of Non-Nucleic Acid Targets

Authors: Lu, Y.; Wen, J.; Wang, C.; Wang, M.; Jiang, F.; Miao, L.; Xu, M.; Li, Y.; Chen, X.; Chen, Y.
Journal: Small
Year: 2024

Procyanidin A1 and its digestive products alleviate acrylamide-induced IPEC-J2 cell damage through regulating Keap1/Nrf2 pathway

Authors: Yan, F.; Lu, Q.; Wang, C.; Liu, R.
Journal: Food Science and Human Wellness
Year: 2024

Acrylamide in food: Occurrence, metabolism, molecular toxicity mechanism and detoxification by phytochemicals

Authors: Yan, F.; Wang, L.; Zhao, L.; Wang, C.; Lu, Q.; Liu, R.
Journal: Food and Chemical Toxicology
Year: 2023

Autocatalytic formed bamboo-like N-doped carbon nanotubes encapsulated with Co nanoparticles as highly efficient catalyst for activation of peroxymonosulfate toward degradation of tetracycline

Authors: Lu, Y.; Li, Y.-K.; Huang, C.; Chen, R.; Chen, Y.; Wang, C.
Journal: Reactive and Functional Polymers
Year: 2023

Prof Zhijie Han| Computer Vision in Sports Analytics |Best Researcher Award | 3276

Prof Zhijie Han| Computer Vision in Sports Analytics |Best Researcher Award 

Henan University, China

Profile 

Scopus

Early Academic Pursuits 🎓

Han Zhijie was born in July 1979 in Luyi, Henan Province, China. His journey into academia began with a passion for technology and mathematics, fields in which he would later make significant contributions. In 2003, Han completed his bachelor’s degree in computer science from Henan University, laying the foundation for his future explorations in the world of computing and network security. His thirst for knowledge led him to pursue a master’s degree in applied mathematics at Henan University in 2006, where he broadened his understanding of mathematical frameworks that are crucial for computational advancements.

Further advancing his academic qualifications, Han earned a Ph.D. in computer science and technology from Soochow University in 2009. His doctoral studies provided him with an opportunity to dive deep into research areas such as wireless sensor networks, cryptography, and the burgeoning field of internet privacy. His strong academic background and diverse studies allowed him to integrate applied mathematics with computer science, ultimately shaping his career path in interdisciplinary research.

Professional Endeavors 📚

After completing his Ph.D., Han Zhijie embarked on postdoctoral studies to further enrich his knowledge and research skills. He conducted his postdoctoral research in computer science at the prestigious University of Science and Technology of China in 2010, followed by another stint at Nanjing University of Posts and Telecommunications in 2013. These postdoctoral experiences provided him with the opportunity to work on advanced research in computer networks, particularly focusing on privacy and security technologies related to the Internet of Things (IoT).

In 2009, Han began his long-standing career at Henan University, where he would rise through the ranks to become a professor and doctoral supervisor. His professional career at Henan University has been marked by significant contributions to teaching, mentorship, and pioneering research. He has guided numerous students in both undergraduate and postgraduate levels, sharing his expertise in computer science and applied mathematics while nurturing the next generation of scholars and researchers.

Contributions and Research Focus 🔍

Han Zhijie’s research is primarily focused on traffic anomaly detection in wireless sensor networks, privacy preservation in IoT systems, and peer-to-peer (P2P) network security. His work on wireless sensor networks, especially in the context of anomaly detection using wavelet analysis, has been groundbreaking. Han was the principal investigator for several key national projects, including the Youth Fund of the National Natural Science Foundation of China, where he led the project titled “Research on Traffic Anomaly Detection in Wireless Sensor Networks Based on Wavelet Analysis” (61103195).

Han has also been deeply involved in projects related to privacy technologies in IoT systems. He led a project under the National Postdoctoral Research Fund, titled “Research on Key Technologies of Privacy Based on the Internet of Things” (first class, 20100480048), which addressed the growing concern of privacy vulnerabilities in IoT infrastructures.

As a core member of several high-profile research initiatives, Han contributed significantly to two major projects under the National 863 Program. These include “Key Technologies for New Peer-to-Peer Computing Network Security” (2006AA01Z439) and “Research on Trust Models in Agent-Based Open Network Environments” (2007AA01Z478). These initiatives have advanced the understanding of secure communication in decentralized networks, highlighting Han’s expertise in both theoretical and practical aspects of network security.

His research extended beyond national boundaries, influencing regional technological advancements. Han participated in multiple provincial-level projects, including the Henan Province Science and Technology Research Program on P2P Network Security Technology Research (072102210044), as well as the Jiangsu Province High-Tech Project, which focused on digital set-top box integrated products based on P2P technology.

Accolades and Recognition 🏆

Throughout his career, Han Zhijie has been recognized for his numerous contributions to the fields of computer science and network security. He has published over 50 papers in prestigious domestic core journals, including the Journal of Computer Science, Journal of Electronics, Journal of Electronic Information, Journal of Communications, and Computer Research and Development. Among these, more than 20 papers were indexed by the Science Citation Index (SCI), six in top-tier journals classified under JCR 1, and two under JCR 2. Additionally, over 50 of his papers were indexed by the Engineering Index (EI), further demonstrating the significance and reach of his research.

Han’s contributions have not only garnered academic citations but also brought about practical implementations in the fields of IoT privacy, network security, and wireless sensor networks. His reputation as a leading expert in the field is cemented by the breadth of his publications and his involvement in key national and provincial research projects.

Impact and Influence 🌐

Han Zhijie’s research has had a profound impact on both the academic community and industry. His work on privacy technologies in IoT and anomaly detection in sensor networks has addressed critical issues in cybersecurity, particularly as the world becomes more connected through the Internet of Things. The projects he has led or been involved in have contributed to the enhancement of security protocols and trust models in open network environments, laying the groundwork for more secure and efficient decentralized computing.

As a mentor, Han has influenced many young researchers and students, guiding them in their research and academic pursuits. His role as a doctoral supervisor at Henan University has allowed him to shape the next generation of computer scientists, particularly in the areas of network security and IoT technologies.

Legacy and Future Contributions 🚀

As Han Zhijie continues to push the boundaries of research in wireless sensor networks, privacy in IoT, and peer-to-peer security, his legacy in the field of computer science grows stronger. His research has practical applications that extend beyond academia, influencing the development of more secure, scalable, and efficient network technologies that are essential for the evolving digital world.

Looking ahead, Han’s work is expected to further contribute to the growth of IoT technologies and network security, areas that are increasingly important as more devices become interconnected. His future contributions will likely continue to address key challenges in maintaining privacy and security in an ever-expanding digital landscape. Han Zhijie’s career exemplifies the intersection of theoretical research and real-world applications, marking him as a pivotal figure in the ongoing development of secure and innovative network technologies.

📝Notable Publications

The Internal Drive Force Analysis of Learning for Engineering Students

Journal: Communications in Computer and Information Science
Year: 2024

Design and Analysis of Wireless Data Center Network Topology HCDCN Based on VLC

Journal: Journal of Cloud Computing
Year: 2023

N-STGAT: Spatio-Temporal Graph Neural Network Based Network Intrusion Detection for Near-Earth Remote Sensing

Journal: Remote Sensing
Year: 2023

Hamiltonian Properties of HCN and BCN Networks

Journal: Journal of Supercomputing
Year: 2023

Workload Balance-aware Edge Server Placement in Mobile Edge Computing

Journal: Proceedings of SPIE – The International Society for Optical Engineering
Year: 2023

Jia Jin-Decision-making and Problem-solving-Best Researcher Award

Prof .Jia Jin -Shanghai International Studies University-Decision-making and Problem-solving-Best Researcher Award 

 Jia Jin-Decision-making and Problem-solving

Professional Profile 

Early Academic Pursuits

Dr. Jin Jia embarked on her academic journey at Hangzhou Dianzi University, where she earned a Bachelor's degree in Management from the School of Management. She continued her pursuit of knowledge at Zhejiang University, School of Management, obtaining a Ph.D. degree. Notably, she broadened her academic horizons as an exchange student at the University of Bonn, Germany, from December 2012 to June 2013.

Professional Endeavors

Dr. Jin Jia has held various academic positions, showcasing her commitment to education and research. Her journey includes roles such as Lecturer at Ningbo University, Business School, Associate Professor at Ningbo University, and later at Shanghai International Studies University. Since January 2022, she has held the prestigious position of Professor at the School of Business and Management, Shanghai International Studies University.

Contributions and Research Focus

Dr. Jin Jia has made significant contributions to the field of behavioral and cognitive neuroscience, with a focus on consumer behavior, decision-making processes, and the neural mechanisms underlying these phenomena. Her research, published in renowned SSCI/SCI-indexed journals, explores diverse topics such as online reviews, face processing in social anxiety disorder, and the impact of payment methods on online purchase decisions.

Accolades and Recognition

Her outstanding contributions have not gone unnoticed, as evidenced by numerous awards and recognitions. Dr. Jin Jia was honored with the Second Prize of Science and Technology Progress of Zhejiang Province, a testament to the impact of her research.

Impact and Influence

Dr. Jin Jia's work extends beyond individual research papers. She has taken on leadership roles in academic organizations, serving as the Secretary General of the Neuroeconomic Management Committee in the Chinese Society of Technical Economics. Additionally, her editorial role as a Guest Editor for the international SSCI journal Frontiers in Psychology showcases her influence in shaping academic discourse.

Legacy and Future Contributions

Dr. Jin Jia's legacy is marked by a rich tapestry of academic achievements, research contributions, and leadership roles. Her work has not only expanded our understanding of consumer behavior but has also paved the way for future research in the intersection of neuroscience and management. As she continues her journey, it is expected that her innovative research will leave a lasting imprint on the academic landscape, inspiring future generations of scholars.

Notable Publication

 

 

Raghubir Singh-Best Researcher Award -Decision-making and Problem-solving

Congratulations, Raghubir Singh- Best Researcher Award -Decision-making and Problem-solving-Award Winner 2023 🏆

Dr.Aghubir Singh-Decision-making and Problem-solving

Congratulations to Dr. Raghubir Singh! 🎉 We are thrilled to announce that Dr. Raghubir Singh has been honored with the prestigious Best Researcher Award in the field of Decision-making and Problem-solving. This recognition is a testament to Dr. Singh's outstanding contributions, unwavering dedication, and innovative research in these critical domains.

Professional Profile 

Orcid

Early Academic Pursuits:

Dr. Raghubir Singh embarked on his academic journey at the University of Bristol, UK, where he pursued a Ph.D. in Computer Science from 2017 to 2021. Under the guidance of esteemed advisors, Dr. George Oikonomou, Dr. Simon Armour from the University of Bristol, and Prof. Mahesh Sooriyabandara from Toshiba Research and Innovation Lab, Bristol, UK, he laid the foundation for his research career.

Professional Endeavors:

Following his academic achievements, Dr. Singh joined the School of Computer Science & Engineering at the University of Westminster as a Research Associate in Cloud Computing from January to August 2021. During this period, he actively contributed to a project funded by the European Commission's Horizon 2020 initiative, titled "Digital twins bringing agility and innovation to manufacturing SMEs" (DIGITbrain). This experience allowed him to collaborate with a dynamic research group led by Prof. Tamas Kiss and resulted in the publication of two research conference papers in IEEE World AI IoT Congress 2022 and IEEE IEMCON 2022.

Contributions and Research Focus:

Dr. Singh's research profile revolves around understanding computation structures and translating this understanding into the development of machine learning models for distributed systems. His research interests span Applied Machine Learning, Artificial Intelligence, and Ubiquitous Computing. Notably, he has made significant contributions to the field, evident in his peer-reviewed journal articles and conference papers. His work on topics like Edge AI and Next Generation Edge Computing showcases a commitment to advancing knowledge in these domains.

Accolades and Recognition:

Throughout his academic and professional journey, Dr. Singh has received accolades and recognition for his impactful contributions. His paper titled "HSAM: Hybrid Sentiment Analysis Model for COVID-10 Contact Tracing Application" earned him the Best Paper Presentation Award at the IEEE World AI IoT Congress in 2023. Additionally, his dedication to research excellence is reflected in his involvement as a reviewer for European Union R&D projects and various journals and conferences.

Impact and Influence:

Dr. Raghubir Singh's research has left a notable impact on the academic community, evident in the quality of his peer-reviewed publications and his role as a technical committee member for prestigious conferences. His expertise in areas such as Computational Offloading in Multi-Access Edge Computing has contributed to the ongoing evolution of these fields.

Legacy and Future Contributions:

As an academic leader, Dr. Singh has demonstrated exceptional skills in teaching, mentoring students, and fostering international collaborations. His role as a lecturer and program leader at various institutions, including the University of Bath, Wrexham Glyndwr University, and the University of Dundee, highlights his commitment to shaping the next generation of computer scientists. Dr. Singh's future contributions are anticipated to further advance the understanding of machine learning and artificial intelligence, leaving a lasting legacy in the academic and research communities.