Yuxin Peng | Sensors and Robotics | Best Researcher Award

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Prof. Dr. Yuxin Peng | Sensors and Robotics | Best Researcher Award

Zhejiang University | China

Prof. Dr. Yuxin Peng is a distinguished scholar in the fields of smart sensors, robotics, and biomechanics, widely recognized for his contributions to wearable technology, exercise science, and health engineering. He serves as a ZJU 100 Young Professor at Zhejiang University, where he also leads the Institute of Exercise Science and Health Engineering. His academic journey spans multiple leading institutions across Asia and beyond, reflecting a truly international perspective on scientific research. With a focus on innovation, Prof. Peng’s work integrates engineering principles with human-centered applications, particularly in sports health, flexible electronics, and intelligent systems. His research is characterized by its interdisciplinary nature, bridging biomechanics, nanotechnology, materials science, and artificial intelligence to address critical challenges in health and human performance. Over the course of his career, he has authored numerous high-impact publications in leading scientific journals and has filed many patents showcasing his commitment to both academic and industrial advancement. In addition to his research excellence, Prof. Peng has played an active role in mentoring students, building collaborative networks, and contributing to academic communities through editorial responsibilities and conference participation. His profile exemplifies leadership, innovation, and dedication to advancing knowledge and technology on a global scale.

Professional Profile

Education

Prof. Dr. Yuxin Peng pursued his academic training with a strong interdisciplinary foundation, combining aspects of nanomechanics, robotics, and health engineering. His doctoral research concentrated on advanced nanomechanical systems, emphasizing precision, adaptability, and their potential applications in intelligent devices. His education has consistently reflected an integration of science, technology, and engineering to address real-world needs, particularly in sports and human health. Alongside his doctoral studies, he has expanded his academic expertise through international academic fellowships and visiting scholar positions at leading global universities. These experiences enriched his exposure to diverse research environments and provided him with opportunities to collaborate with globally recognized researchers in materials science, sensor technology, and biomechanics. His academic journey emphasized a strong balance of theoretical knowledge, laboratory practice, and technological innovation. Throughout his education, Prof. Peng focused on combining fundamental research with applied problem-solving, ensuring that his studies had direct implications for both industry and society. His training was characterized by rigor, creativity, and interdisciplinary engagement, laying the groundwork for his subsequent career achievements. This educational pathway has equipped him with the vision and technical depth necessary to lead pioneering research at the intersection of engineering, human performance, and biomedical applications.

Professional Experience

Prof. Dr. Yuxin Peng has developed an impressive professional portfolio that demonstrates both academic leadership and innovative research practice. At Zhejiang University, he holds the role of ZJU 100 Young Professor and Director of the Institute of Exercise Science and Health Engineering, where he leads multidisciplinary teams working on cutting-edge projects in wearable technology, biomechanics, and smart robotics. His professional experience includes research fellowships at prestigious institutions, enabling him to contribute to global collaborations in nanomechanics and sports engineering. He has also served as a visiting scholar at internationally respected universities, where he expanded his research expertise and established long-term partnerships with scientists and engineers worldwide. In addition to his academic responsibilities, Prof. Peng has played a key role in directing major funded projects, securing grants from both national and international organizations. His leadership extends to supervising doctoral and master’s students, many of whom have received recognition through awards, scholarships, and high-impact research outputs. Beyond the university setting, Prof. Peng’s work demonstrates a strong connection to practical applications, as evidenced by his patents and industrial collaborations. Collectively, his professional career reflects an unwavering commitment to excellence, global cooperation, and the advancement of innovative technologies in human-centered engineering.

Research Interests

Prof. Dr. Yuxin Peng’s research interests lie at the intersection of engineering, health science, and advanced technology, with a particular emphasis on wearable systems and biomechanics. He focuses on developing flexible and intelligent sensors that can monitor, analyze, and enhance human performance in areas such as sports, rehabilitation, and health diagnostics. His interests extend to robotics, particularly the design and implementation of systems that mimic human motion and support biomechanical functions. Another central theme of his work involves biomechanics, where he investigates how engineering solutions can optimize movement, reduce injury risks, and improve overall human performance. His interdisciplinary research draws on nanotechnology, materials science, and artificial intelligence, enabling him to create technologies that are not only innovative but also practical in real-world scenarios. By combining fundamental science with engineering applications, Prof. Peng’s interests aim to solve pressing challenges in human health, athletic performance, and medical technology. His long-term vision is to integrate intelligent sensing technologies into everyday life, creating systems that support better health outcomes and contribute to the advancement of smart healthcare. This forward-looking research agenda highlights his role as a leader in shaping the future of wearable and biomechanical technologies.

Research Skills

Prof. Dr. Yuxin Peng possesses an extensive skill set that supports his pioneering research in smart sensors, robotics, and biomechanics. His expertise in nanomechanics and materials engineering allows him to design flexible and high-performance sensing devices with applications in sports and health monitoring. He is highly skilled in integrating advanced materials with sensor technologies, enabling the development of systems that combine sensitivity, durability, and user adaptability. His technical proficiency extends to biomechanics, where he applies motion analysis, computational modeling, and experimental testing to evaluate human movement and design supportive robotic systems. In addition, his skills in artificial intelligence and data analytics enhance his ability to extract meaningful insights from sensor data, advancing predictive modeling and intelligent feedback systems. He is also adept in project management and research leadership, having directed multiple interdisciplinary projects involving collaborations across academic, industrial, and international partners. His ability to translate scientific concepts into patents and practical technologies reflects his applied engineering skills and entrepreneurial vision. With strong communication, mentoring, and editorial abilities, Prof. Peng is also recognized for building research communities and fostering collaboration. His research skills collectively position him as an innovator capable of addressing complex scientific and technological challenges.

Awards and Honors

Prof. Dr. Yuxin Peng has received numerous awards and honors that highlight his excellence in research, teaching, and innovation. He has been recognized by national and international organizations for his pioneering work in smart wearable technologies and sports biomechanics. His achievements include awards at national science and technology innovation competitions, reflecting both the quality and societal impact of his research. In addition to competitive research funding secured through prestigious grants, his recognition extends to editorial appointments in respected scientific journals, where he contributes as a young editor and reviewer. His students, under his guidance, have also achieved significant accolades, including national dissertation awards and international scholarships, underscoring his effectiveness as a mentor. Invited keynote lectures and conference presentations have further enhanced his profile as a respected thought leader in his field. The accumulation of patents and publications in high-impact journals also serve as indirect recognition of his influential work. Collectively, these awards and honors demonstrate the breadth of his impact across academia, industry, and society. They underline his dedication to advancing research, mentoring the next generation of scientists, and contributing solutions that address real-world challenges through scientific innovation.

Publication Top Notes

  • Calibration-free optical waveguide bending sensor for soft robots — 2025

  • Development and application of a distributed plantar three-dimensional force measurement system — 2025 — 1 citation

  • Underwater Instant Adhesive Hydrogel Interfaces for Robust Biosensing on Diverse Species — 2025

  • Pressure Sensor Based on Melamine Frame Graphene Aerogel for Pulse Recording and Identification in Traditional Chinese Medicine — 2025

  • Bio-inspired soft pneumatic actuator based on a Kresling-like pattern with a rigid skeleton — 2024 — 8 citations

Conclusion

Prof. Dr. Yuxin Peng stands as a leading figure in the fields of smart sensors, robotics, and biomechanics, with a career that exemplifies the integration of advanced research and practical applications. His journey reflects a strong academic foundation, an impressive professional trajectory, and a commitment to interdisciplinary collaboration. By advancing flexible sensor technologies and intelligent wearable systems, he has contributed significantly to improving human health, sports performance, and rehabilitation science. His diverse research skills and leadership in both national and international projects highlight his capacity to bridge the gap between fundamental research and applied innovation. His recognition through awards, patents, and editorial roles demonstrates not only his personal excellence but also his contribution to shaping future scientific communities. Through his dedication to mentorship, Prof. Peng has empowered students to pursue excellence, thereby extending his influence across generations of researchers. Looking forward, his vision for integrating intelligent sensing systems into daily life promises transformative impacts on healthcare, athletics, and beyond. In conclusion, Prof. Peng’s career embodies innovation, leadership, and global collaboration, making him a highly deserving candidate for recognition and a role model for aspiring researchers worldwide.

Yijun Xiao | Computer Science | Best Researcher Award

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Mr. Yijun Xiao | Computer Science | Best Researcher Award

China University of Petroleum (East China), China 

Yijun Xiao is a highly motivated and innovative Ph.D. candidate at the China University of Petroleum (East China), known for his groundbreaking research at the intersection of computer science and molecular biology. His academic journey reflects a trajectory of excellence, transitioning from a master’s degree at Dalian University of Technology to advanced doctoral research focused on DNA computing and molecular neural networks. His recent work on programmable DNA-based molecular biocomputing circuits, published in Advanced Science, highlights his dedication to solving complex computational problems using biological substrates. Xiao’s research contributions are recognized internationally, with several publications in SCI-indexed journals and presentations at prestigious conferences like the IEEE Smart World Congress and the International Conference on Industrial Artificial Intelligence. He is not only a productive researcher but also a contributor to academic discourse through editorial roles in high-impact journals. With four patents and six journal articles to his name, his academic footprint is notable for a researcher at this stage. Xiao exemplifies the profile of a next-generation scientist poised to lead in the development of unconventional and bio-inspired computing technologies, making significant strides in non-silicon computing solutions with real-world applications in life sciences and bioinformatics.

Professional Profile

Education

Yijun Xiao earned his Master’s degree in Computer Science and Technology from Dalian University of Technology in 2023. This educational foundation equipped him with in-depth knowledge in algorithm design, artificial intelligence, and computational modeling. Currently, he is pursuing a Ph.D. at the China University of Petroleum (East China), where he focuses on interdisciplinary research involving computer science, molecular biology, and systems engineering. His doctoral work is centered around DNA computing, biochemical reaction networks, and the development of molecular controllers capable of solving high-level computational problems. The transition from a traditional computing background to a molecular computing framework reflects his adaptability and willingness to explore unconventional approaches to computing. His academic journey demonstrates a clear progression in specialization, from general computer science toward highly niche domains such as biochemical neural networks. Xiao’s education not only highlights strong academic performance but also his ability to integrate knowledge from multiple domains—a critical asset in research-intensive environments. With training grounded in both theoretical foundations and experimental research, Xiao is academically equipped to lead cutting-edge work in computational biology, unconventional computing, and interdisciplinary problem-solving.

Professional Experience

Although still in the early stages of his academic career, Yijun Xiao has demonstrated extensive professional engagement through his research and publication work. As a doctoral candidate, his primary professional responsibility involves conducting high-level scientific research that bridges computer science with biochemistry and molecular biology. He has played a lead role in designing and modeling programmable DNA-based biocomputing circuits that solve partial differential equations—an ambitious and novel application of bio-computation. His involvement in multiple international conferences, such as the IEEE Smart World Congress and the International Conference on Industrial Artificial Intelligence, reflects both his presentation skills and his readiness to contribute to global academic discourse. In addition to his research roles, he has participated in editorial duties for major journals like Advanced Science, IEEE Transactions on Nanobioscience, and IEEE Access, suggesting peer recognition of his scientific rigor and subject matter expertise. Furthermore, Xiao has authored and co-authored six SCI-indexed journal articles and has filed four patents, demonstrating both scholarly and applied research contributions. His professional experience, although rooted in academia, already exhibits a maturity and productivity that align with established researchers, signaling his readiness for broader leadership roles in future academic or research-intensive industry positions.

Research Interest

Yijun Xiao’s primary research interests lie in the domains of DNA computing, biochemical reaction networks, molecular controllers, and unconventional computing systems. His work focuses on leveraging the intrinsic parallelism of molecular systems to address computational problems that are traditionally solved using electronic and silicon-based technologies. One of his central interests involves the design and implementation of programmable DNA-based circuits capable of solving partial differential equations—a feat that merges molecular biology with complex mathematical modeling. He is particularly fascinated by the prospect of developing non-silicon-based computational architectures that mimic biological systems. This interest extends to synthetic biology, where his research could pave the way for bio-hybrid computing devices that function in tandem with natural biological processes. Xiao’s interdisciplinary curiosity drives him to explore how biomolecular substrates can be used not only for information storage and processing but also for autonomous control within chemical environments. His long-term goal is to create biocompatible computing systems that can be embedded in real-life biological contexts such as smart therapeutics, biosensing, and environmental diagnostics. The novelty and real-world applicability of his interests set him apart as a visionary in the rapidly evolving field of molecular and bio-inspired computing.

Research Skills

Yijun Xiao possesses an exceptional range of research skills that complement his interdisciplinary focus. His technical skills span computational modeling, algorithmic development, and system simulations, particularly within the context of DNA computing and biochemical reaction networks. He is adept at designing molecular circuits that perform logical and mathematical operations at the nanoscale. His experimental skills include working with DNA strands, implementing synthetic biochemical networks, and testing molecular controllers in simulated environments. Xiao is also proficient in data analysis, statistical modeling, and simulation tools, all of which are critical for validating theoretical models in biochemical systems. In addition to laboratory and computational capabilities, he demonstrates strong academic writing and peer-review skills, evidenced by his publications in high-impact journals and editorial responsibilities. He also exhibits strong collaborative skills, as seen in his partnerships with researchers from institutions like Dalian University. These collaborations have enabled him to broaden his methodological toolkit and approach problems from diverse scientific perspectives. His fluency in interdisciplinary communication allows him to translate complex concepts across domains, a rare and valuable skill in modern scientific research. Overall, Xiao’s research skills reflect a harmonious blend of theory, experimentation, and communication.

Awards and Honors

Although specific awards and honors have not been listed in the current nomination, Yijun Xiao’s publication record and involvement in high-impact journals suggest implicit recognition of his work. His article in Advanced Science—a prestigious international journal—indicates that his research meets the highest standards of innovation and scholarly contribution. Furthermore, the fact that he serves in editorial capacities for journals such as IEEE Transactions on Nanobioscience and IEEE Access is a significant mark of honor, especially for a Ph.D. candidate. These roles are typically reserved for researchers with demonstrated subject-matter expertise and strong academic judgment. Xiao has also been selected to present at esteemed international conferences like the IEEE Smart World Congress and the International Conference on Industrial Artificial Intelligence, which reflects peer recognition of the novelty and relevance of his work. His patent filings further emphasize the originality of his ideas and their potential for real-world application. While not formal awards, these accomplishments reflect an ongoing stream of recognition from the global academic and research community. As his career progresses, he is poised to receive formal accolades and fellowships that match the significance of his contributions.

Conclusion

Yijun Xiao represents the ideal profile of a next-generation researcher whose work is at the forefront of interdisciplinary science. His commitment to advancing DNA computing and molecular neural networks is both ambitious and impactful, addressing fundamental challenges in computational complexity using innovative biological models. Despite being in the early phase of his academic career, his productivity, publication quality, and international engagement far exceed typical expectations for a doctoral candidate. His research not only contributes theoretical value but also opens doors to practical applications in non-silicon-based computing and synthetic biology. With four patents and six SCI-indexed journal publications, he has already laid a strong foundation for an influential academic and research career. His future potential is further enhanced by his editorial experience, collaborative nature, and ability to lead projects that intersect multiple disciplines. Moving forward, expanding his work into industrial partnerships and broader scientific collaborations will further solidify his standing. Overall, Yijun Xiao is not only suitable for the Best Researcher Award but is a compelling candidate who exemplifies excellence, innovation, and future leadership in cutting-edge research domains.

Publications Top Notes

  1. Title: Programmable DNA‐Based Molecular Neural Network Biocomputing Circuits for Solving Partial Differential Equations
    Authors: Yijun Xiao, Alfonso Rodríguez‐Patón, Jianmin Wang, Pan Zheng, Tongmao Ma, Tao Song
    Year: 2025
    Journal: Advanced Science
  2. Title: Cascade PID Control Systems Based on DNA Strand Displacement With Application in Polarization of Tumor-Associated Macrophages
    Authors: Hui Xue, Hui Lv, Yijun Xiao, Xing’An Wang
    Year: 2023
    Journal: IEEE Access
  3. Title: Implementation of an Ultrasensitive Biomolecular Controller for Enzymatic Reaction Processes With Delay Using DNA Strand Displacement
    Authors: Yijun Xiao, Hui Lv, Xing’An Wang
    Year: 2023
    Journal: IEEE Transactions on NanoBioscience
  4. Title: Performance Verification of Smith Predictor Control Using IMC Scheme via Chemical Reaction Networks and DNA Strand Displacement Reaction
    Authors: Jingwang Yao, Hui Lv, Yijun Xiao
    Year: 2023
    Conference: 2023 IEEE Smart World Congress (SWC)
  5. Title: Synthetic Biology and Control Theory: Designing Synthetic Biomolecular Controllers by Exploiting Dynamic Covalent Modification Cycle with Positive Autoregulation Properties
    Authors: Yijun Xiao, Hui Lv, Xing’an Wang
    Year: 2023
    Journal: Applied Sciences
  6. Title: Implementing a modified Smith predictor using chemical reaction networks and its application to protein translation
    Authors: Yijun Xiao, Hui Lv, Xing’an Wang
    Year: 2022
    Conference: 2022 4th International Conference on Industrial Artificial Intelligence (IAI)