Kaili Wang | Engineering | Best Researcher Award

Ms. Kaili Wang | Engineering | Best Researcher Award

Student at NB U, China

MS Kaili Wang is a distinguished researcher in the field of gene editing and molecular diagnostics, specializing in nucleic acid detection for agricultural biotechnology. She is affiliated with Ningbo University, School of Food Science and Engineering, China, and collaborates with Zhejiang Academy of Agricultural Sciences and the State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products. With a keen interest in genetic modification detection, her research focuses on improving the precision and sensitivity of detection methods for gene-edited organisms. Her recent work on droplet digital PCR (ddPCR) for MSTN gene-edited cattle has contributed significantly to the field of regulatory science and food safety. Dedicated to advancing biotechnology applications, she plays a crucial role in shaping methodologies for genetic monitoring, ensuring consumer safety, and fostering global discussions on gene editing and its implications.

Professional Profile

Education

MS Kaili Wang pursued her higher education in biotechnology, molecular biology, and food science, which provided a strong foundation for her research career. She earned her degrees from prestigious Chinese institutions, including Ningbo University, where she specialized in food science and genetic detection methods. Her academic training emphasized molecular diagnostics, genetic engineering, and PCR-based technologies, equipping her with the expertise necessary to develop innovative detection methods for genetically modified organisms (GMOs). Throughout her education, she engaged in interdisciplinary research, gaining hands-on experience in genetic modification analysis, nucleic acid quantification, and regulatory science. Her studies were complemented by rigorous laboratory work and collaborations with leading scientists in the field. This educational background has enabled her to contribute significantly to the advancement of gene-editing detection technologies, ensuring accuracy, sensitivity, and reliability in molecular diagnostics.

Professional Experience

With extensive experience in genetic research and molecular diagnostics, MS Kaili Wang has worked as a researcher at Ningbo University and in collaboration with Zhejiang Academy of Agricultural Sciences. She has been instrumental in developing innovative nucleic acid detection methods for gene-edited organisms, particularly using droplet digital PCR (ddPCR). Her work focuses on the safety assessment, traceability, and detection of genetically modified products, making a significant impact in the field of food safety and agricultural biotechnology. She has contributed to multiple high-impact research projects, collaborating with government agencies, regulatory bodies, and scientific institutions to establish robust methodologies for genetic monitoring. Her professional expertise extends to training young researchers, publishing peer-reviewed articles, and presenting her findings at international conferences related to gene editing and food safety. Her work plays a critical role in ensuring the accurate detection and regulation of gene-edited agricultural products.

Research Interests

MS Kaili Wang’s primary research interests lie in gene editing, nucleic acid detection, food safety, and molecular diagnostics. She is particularly focused on developing and optimizing PCR-based techniques, including ddPCR, qPCR, and CRISPR-based detection methods. Her research aims to enhance the specificity, sensitivity, and reliability of gene-editing detection, ensuring consumer safety and regulatory compliance. She is also deeply interested in the traceability of genetically modified organisms (GMOs) and their impact on food production, security, and public health. Through her work, she seeks to bridge the gap between scientific advancements and regulatory frameworks, contributing to the development of robust detection technologies that can be applied on a global scale. By integrating biotechnology with food safety regulations, she aims to provide innovative solutions for ensuring transparency in agricultural biotechnology and fostering public trust in gene-edited products.

Awards and Honors

Throughout her career, MS Kaili Wang has received numerous recognitions for her contributions to gene editing detection and food safety research. She has been honored with awards from academic institutions, regulatory bodies, and biotechnology organizations for her innovative work in nucleic acid quantification and molecular diagnostics. Her research on ddPCR-based detection of MSTN gene-edited cattle has gained international recognition, positioning her as a leading scientist in genetic monitoring and food safety regulation. She has been invited as a keynote speaker at scientific conferences, sharing her expertise on gene editing detection methodologies. Additionally, she has received grants and funding from government agencies to further her research in gene-editing detection and its application in regulatory science. Her dedication and contributions to biotechnology and food safety continue to make a profound impact, earning her a reputation as a pioneering researcher in the field.

Conclusion

MS Kaili Wang’s research is highly innovative and impactful, making significant contributions to gene editing detection and food safety monitoring. The work demonstrates scientific excellence, regulatory relevance, and technical robustness, making them a strong candidate for the Best Researcher Award. However, further research could focus on expanding the scope of detection beyond MSTN, increasing sample size, and facilitating regulatory adoption to enhance the real-world impact.

Publications Top Noted

Author: Kaili Wang, Yi Ji, Cheng Peng, Xiaofu Wang, Lei Yang, Hangzhen Lan, Junfeng Xu, Xiaoyun Chen
Year: 2025
Citation: Wang, K.; Ji, Y.; Peng, C.; Wang, X.; Yang, L.; Lan, H.; Xu, J.; Chen, X. (2025). “A Novel Quantification Method for Gene-Edited Animal Detection Based on ddPCR.” Biology, 14(2), Article 0203. DOI: 10.3390/biology14020203.
Source: Multidisciplinary Digital Publishing Institute (MDPI)

 

Roberto Simoni | Robotics | Scientific Breakthrough Award

Prof Dr. Roberto Simoni | Robotics | Scientific Breakthrough Award

Professor, Federal University of Santa Catarina, Brazil

Roberto Simoni is a dedicated researcher and professor at the Federal University of Santa Catarina (UFSC) in Joinville, Brazil. With a robust academic background in Applied Mathematics and Mechanical Engineering, he is recognized for his expertise in robotics, especially in the design and analysis of parallel mechanisms. Simoni is currently an Adjunct Professor at UFSC’s Mobility Engineering Center and coordinates the Graduate Program in Mechanical Engineering and Sciences (POSECM). 📚✨

Publication Profile

Google Scholar

🎓 Education

Simoni earned a bachelor’s degree in Mathematics (2006), a master’s degree (2008), and a Ph.D. in Mechanical Engineering (2010), all from the Federal University of Santa Catarina (UFSC). His studies have contributed significantly to his expertise in applied mathematics and robotics. 🎓🔧

🧑‍🏫 Experience

Roberto Simoni is an Adjunct Professor at UFSC’s Joinville Campus, where he teaches courses in Vector Calculus and Robotics. His teaching and mentorship support the next generation of engineers in developing advanced technical and analytical skills in robotics and mechanical engineering. 👨‍🏫🤖

🔬 Research Interests

Simoni’s research focuses on applied mathematics and mechanical engineering, with a strong emphasis on robotics and parallel mechanisms. He specializes in the synthesis and analysis of parallel robots, industrial robotics, and underwater robots, aiming to advance robotics for industrial applications. 🔍⚙️

🏆 Awards

Throughout his career, Simoni has been involved in various prestigious research projects and collaborations, contributing to significant advancements in robotics. His work has gained notable recognition, especially in the field of parallel manipulators and robotic mechanisms. 🌟📈

📚 Publications

“Design of a Fast Robotic Total Station Through Ad Hoc Virtual Experiments and Its Digital Twin”
Published in Electronics (2024-10).
DOI: 10.3390/electronics13214248
Cited by: Indexed in Multidisciplinary Digital Publishing Institute. 📘🔍

“TetraFLEX: Design and Kinematic Analysis of a Novel Self-aligning Family of 3T1R Parallel Manipulators”
Published in Journal of Field Robotics (2022).
DOI: 10.1002/rob.22067
Cited by: Indexed in Scopus with ID 85125437850. 📕⚙️

“Wriflex: Design and Kinematic Analysis of a Self-aligning Parallel Wrist”
Published in Springer Proceedings in Advanced Robotics (2022).
DOI: 10.1007/978-3-031-08140-8_37
Cited by: Indexed in Scopus with ID 85133267035. 📗🔧

“Analysis of a 4-DOF 3T1R Parallel Robot for Machining Applications: A Stiffness Study”
Published in Lecture Notes in Mechanical Engineering (2021).
DOI: 10.1007/978-981-16-1769-0_15
Cited by: Indexed in Scopus with ID 85113390151. 📘🔬

Bo Yang | Computer Science | Best Researcher Award

Prof Dr. Bo Yang | Computer Science | Best Researcher Award

Full Professor, Northwestern Polytechnical University, China

📡 Dr. Bo Yang is a Professor at the School of Computer Science, Northwestern Polytechnical University (NPU), China. He is an expert in AI-empowered wireless networks, mobile edge/cloud computing, and big data analysis, with significant experience in academia and industry. His work has contributed to advancements in next-generation wireless systems and computational intelligent surfaces.

Publication Profile

Scopus

Strengths for the Award

  1. Extensive Research in AI-Empowered Networks: Bo Yang’s research focuses on cutting-edge technologies like AI-empowered wireless networks, mobile edge/cloud computing, and intelligent surface designs. These are relevant and impactful fields in today’s technological landscape.
  2. International Experience and Collaborations: Bo Yang has worked across multiple prestigious institutions globally, including Singapore University of Technology and Design (SUTD), Prairie View A&M University (USA), and Northwestern Polytechnical University (China). This international exposure has likely enriched his research perspective.
  3. High-Impact Publications: Bo Yang has authored and co-authored numerous influential publications in high-impact journals, such as IEEE Transactions on Wireless Communications and IEEE Transactions on Industrial Informatics, showcasing his research output and influence in the academic community.
  4. Notable Research Funding: Bo Yang has been involved in significant research projects with substantial funding, such as the $6 million USD project for the U.S. Office of Defense, which demonstrates his ability to secure large grants and work on high-stakes, impactful research.
  5. Awards and Nominations: He has been nominated for prestigious awards like the Excellence in Scholarly Research Award at Prairie View A&M University, highlighting his recognition as a strong researcher.

Areas for Improvement

  1. Broader Industry Impact: While Bo Yang’s research contributions are impressive academically, there is limited evidence of direct industry partnerships or commercialization of his research. Engaging more with industry and applying his innovations in commercial products could further bolster his case for the award.
  2. Leadership in Research Initiatives: While Bo Yang has been part of multiple large-scale research projects, more evidence of him leading major projects or research teams would enhance his leadership profile and strengthen his award candidacy.
  3. Public Engagement and Knowledge Dissemination: Expanding his efforts in science communication, such as more public-facing talks or involvement in workshops and seminars, could improve his visibility and influence beyond the academic community.

Education

🎓 Dr. Yang earned his Ph.D. in Information and Communication Engineering from NPU (2010-2017), where his thesis focused on multi-channel medium access for next-generation WLAN. He also holds an M.Sc. in Communication and Information Systems (2007-2010) with a thesis on video coding and wireless transmission, and a B.Sc. in Communication Engineering (2003-2007), during which he interned at Datang Telecom.

Experience

💼 Dr. Yang is currently a Professor at NPU, Xi’an, China, where he leads cutting-edge research on AI-empowered wireless networks. Previously, he was a Research Fellow at the Singapore University of Technology and Design (SUTD) and a Postdoctoral Fellow at Prairie View A&M University (PVAMU), USA. His research projects have been funded by prestigious organizations, including A*STAR in Singapore and the U.S. Office of the Under Secretary of Defense.

Research Focus

🔬 Dr. Yang’s research focuses on AI-powered wireless networks, mobile edge/cloud computing, computational intelligent surfaces, and big data security. His innovative work addresses challenges in next-generation communication systems, with a particular emphasis on reconfigurable intelligent surfaces and federated spectrum learning for wireless edge networks.

Awards and Honors

🏆 Dr. Yang has been honored with several prestigious awards, including the NNSF for Excellent Young Scientists Fund Program (Overseas) in 2022 and a nomination for the Excellence in Scholarly Research Award at PVAMU in 2020. His groundbreaking research projects have been funded by leading organizations worldwide.

Publication Top Notes

📝 Dr. Yang has authored numerous influential papers in high-impact journals. His recent works include:

“DiffSG: A Generative Solver for Network Optimization with Diffusion Model” (2024) – arXiv:2408.06701

“Reconfigurable Intelligent Computational Surfaces for MEC-Assisted Autonomous Driving Networks: Design Optimization and Analysis” (2024) – arXiv:2407.00933

“Filtering Reconfigurable Intelligent Computational Surface for RF Spectrum Purification” (2024) – arXiv:2406.18055

“AI-Empowered Multiple Access for 6G: A Survey of Spectrum Sensing, Protocol Designs, and Optimizations” (2024) – Proceedings of the IEEE, Cited by 39

“A Multi-View Interactive Approach for Multimodal Sarcasm Detection in Social Internet of Things” (2024) – Applied Sciences, Cited by 18

Conclusion

Bo Yang is a highly qualified candidate for the Best Researcher Award due to his significant contributions to AI-empowered networks, his prolific publication record, and involvement in international research collaborations. To enhance his candidacy further, he could focus on increasing industry engagement, leading more research initiatives, and enhancing public engagement with his work. His strengths in cutting-edge technology, global experience, and scholarly impact make him a strong contender for the award.

C R RAJESH | Electrical and Electronics Engineering | Best Researcher Award

Dr. C R RAJESH | Electrical and Electronics Engineering | Best Researcher Award

Associate Professor, CSI INSTITUTE OF TECHNOLOGY, India

Dr. C. R. Rajesh is a dedicated academician and researcher with over two decades of experience in the field of Electrical Engineering. Currently serving as an Associate Professor at C. S. I. Institute of Technology, Thovalai, his career is marked by a commitment to academic excellence and innovative research. Dr. Rajesh’s work primarily focuses on power quality enhancement techniques and the application of advanced control strategies atmospheric energy systems.

Education 🎓

Dr. Rajesh holds a Ph.D. in Electrical Engineering from Anna University, obtained in April 2021. He earned his M.E. from Sathyabama University, Chennai, in April 2005 with a notable percentage of 70.95. His foundational degree, a B.E. in Electrical and Electronics Engineering, was awarded by Kuvempu University, Karnataka, in August 1998, where he achieved a percentage of 62.75.

Professional Experience 💼

Dr. Rajesh’s professional journey commenced at the C. S. I. Institute of Technology, Thovalai, where he began as a Lecturer in 1999. He rose through the ranks, becoming a Senior Lecturer in 2005, Assistant Professor in 2008, and an Associate Professor in 2022. Over his 24 years of experience, Dr. Rajesh has held various significant responsibilities including ISO Co-ordinator, Entrepreneur Development Cell Co-ordinator, and Department Placement In-charge.

Research Interests 🔍

Dr. Rajesh’s research interests are centered on power electronics, power quality enhancement, and smart grid technologies. His Ph.D. thesis on “Harmonics Mitigation Techniques for Enhancing Power Quality using Decoupled Double Synchronous Reference Frame Theory” underscores his expertise in these areas. He is actively involved in exploring IoT-based energy systems and advanced control methods for power electronic converters.

Awards and Recognitions 🏆

Dr. Rajesh has received several accolades for his contributions to engineering education and research. He is a Life Member of esteemed professional bodies such as the Indian Society for Technical Education (ISTE), the International Association of Engineers (IAENG), and the Institution of Green Engineers (IGEN). His dedication to research and academia is further reflected in his role as a reviewer for several high-impact journals.

Publications Top Notes 📄

  1. C.R. Rajesh, Evangelin Jeba J, ‘Fuzzy Broad Control Technique Based Power Quality Improvement with Flying Capacitor MLI in Grid System’ – International Journal of Research and Analytical Reviews (IJRAR), October 2023.
  2. C. R. Rajesh, P. Meenalochini, Sathish Kumar Kannaiah, A. Bindu, ‘A hybrid control topology for cascaded H-bridge multilevel inverter to improve the power quality of smart grid connected system: NBO-RERNN approach’ – Expert Systems with Applications, March 2024.
  3. Evangelin Jeba J, C. R. Rajesh, ‘Artificial Neural Network with 3-Port Dc-Dc Converter Based Energy Management Scheme in Sustainable Energy Sources’ – International Journal of Engineering and Advanced Technology (IJEAT), August 2023.
  4. Rajesh C.R. & D. Sam Harison ‘Enhancing Power System Stability with AI-Based Relaying Algorithms – A Review’ – i-manager’s Journal on Power Systems Engineering, 2023.
  5. Rajesh C.R. & Umayal SP ‘Shunt Active Filter for Multi-Level Inverter using DDSRF with State Delay Controller’ – Journal of Power Electronics, 2018.