Ming Cao | Engineering | Best Researcher Award

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Prof. Dr. Ming Cao | Engineering | Best Researcher Award

Nanchang University | China

Author Profile

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🎓 Early Academic Pursuits

Prof. Dr. Ming Cao embarked on his academic journey with a Bachelor's degree in Software Engineering  from Nanchang University. His interdisciplinary curiosity led him to pursue a Master's in Vehicle Engineering , followed by a Doctorate in Mechanical Engineering  from the same institution. This academic progression illustrates his transition from software to hardware systems, laying a solid foundation for his future in automotive and advanced manufacturing research.

🏢 Professional Endeavors

Currently serving as Associate Dean and Associate Professor at the School of Advanced Manufacturing, Nanchang University, Dr. Cao has held numerous academic positions over the years. His career began as an Assistant Lecturer, then Lecturer , and advanced to his current role in 2023. Simultaneously, he is enriching his research profile as a Postdoctoral Researcher at the prestigious Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences . Notably, he also gained international exposure as a Visiting Scholar at the University of Kansas.

🔬 Contributions and Research Focus

Prof. Cao's research sits at the intersection of mechanical engineering, microfluidics, bio-manufacturing, and artificial intelligence. His recent works focus on high-throughput digital microfluidic systems, YOLOv8-based object detection, automated inkjet printing, and cryogenic extrusion technologies. His innovative approaches are evident in impactful publications like:

  •  ➤ YOLOv8-Seg-based evaluation for bioprinting

  •  ➤ AI-enhanced microfluidic systems

  •  ➤ Smart composite hydrogels for flexible strain sensors
    These contributions aim to transform precision manufacturing, sensor development, and biomedical applications.

🏆 Accolades and Recognition

While explicit awards are not listed, Prof. Cao's continuous progression within Nanchang University, international collaborations, and his prolific publication record in Micromachines, ACS Applied Polymer Materials, and Fibers and Polymers underscore the academic community’s recognition of his innovative work and leadership in research. His appointment as Associate Dean further reflects his respected status in academic and administrative circles.

🌍 Impact and Influence

Dr. Cao's work is bridging the gap between academia and real-world manufacturing challenges. His research on smart sensors and AI-integrated fabrication methods is pushing the frontiers of intelligent manufacturing and sustainable biomedical device development. Moreover, by mentoring students and contributing to global research dialogue, he is shaping the next generation of engineers and innovators.

🔮 Legacy and Future Contributions

Looking ahead, Prof. Dr. Ming Cao is poised to make landmark contributions in precision bio-manufacturing, AI-integrated engineering, and smart materials. His leadership at Nanchang University and collaboration with CAS suggest continued influence in shaping China's advanced manufacturing roadmap. As technology rapidly evolves, his work will likely be instrumental in crafting more sustainable, intelligent, and adaptable production systems.

Publications

📄 Uniformity evaluation of bio-printer products based on an improved YOLOv8-Seg model
Authors: Cao Ming, Duan Wufeng, Ma Mengxiao, et al.
Journal: Journal of Zhejiang University (Engineering Science)
Year: 2025

📄 Design and Implementation of a High-Throughput Digital Microfluidic System Based on Optimized YOLOv8 Object Detection
Authors: Cao M, Duan W, Huang Z, Liang H, Ai F, Liu X
Journal: Micromachines
Year: 2025

📄 An automated digital microfluidic system based on inkjet printing
Authors: Wansheng Hu, Ming Cao, Lingni Liao, Yuanhong Liao, Yuhan He, Mengxiao Ma, Simao Wang, Yimin Guan*
Journal: Micromachines
Year: 2024

📄 Self-Adhesive, Antifreezing, and Antidrying Conductive Glycerin/Polyacrylamide/Chitosan Quaternary Ammonium Salt Composite Hydrogel as a Flexible Strain Sensor
Authors: Liu S, Wan L, Hu FF, Wen ZW, Cao M., Ai FR
Journal: ACS Applied Polymer Materials
Year: 2023

📄 Cryogenic Extrusion Printing of PCL-HAW Scaffolds and Self-induced Crystalline Surface Modification
Authors: Zhou K., Chen H., Xu Z., Zeng J., Cao M
Journal: Fibers and Polymers
Year: 2024

Hongfei Yang | Engineering | Best Researcher Award

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Assoc Prof Dr. Hongfei Yang | Engineering | Best Researcher Award

Shihezi University | China

Author Profile

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🌱 Early Academic Pursuits

Dr. Hongfei Yang’s academic journey is marked by an impressive foundation in engineering and scientific disciplines. He earned his Bachelor's degree in Mechanical Design, Manufacturing, and Automation from Dalian University in 2016. Following this, he pursued his Master’s in Mechanical Design and Theory at Jilin University, complemented by a joint training program at Cambridge University. These early years laid a solid groundwork in mechanical design, equipping him with a unique blend of theoretical knowledge and practical skills.

💼 Professional Endeavors

Currently an Associate Professor in Electronic Information Engineering at Shihezi University, Dr. Yang has dedicated his career to advancing precision engineering and measurement technology. His experience includes a rigorous doctoral program in Testing and Measurement Technology at Jilin University, where he focused on developing innovative solutions in instrument technology. Dr. Yang's professional path reflects his commitment to impactful research and teaching in electronic and mechanical engineering fields.

📚 Contributions and Research Focus

Dr. Yang’s research is distinguished by its focus on magnetic sensing and machine vision, especially in applications for unstructured environments and deep-earth observations. As the first author of 11 academic papers with a cumulative impact factor of 59.4, he has made substantial contributions to journals like IEEE Transactions on Geoscience and Remote Sensing and IEEE Sensors Journal. His work addresses pressing challenges in instrument measurement, such as developing methods for identifying rail defects and creating robust magnetic sensing systems. His expertise extends to multiple patents, demonstrating practical solutions for applications ranging from long-term monitoring in extreme environments to automated mushroom collection devices.

🏆 Accolades and Recognition

Dr. Yang’s contributions have been recognized with numerous honors. Among them are the prestigious National Scholarship for Doctoral Students in China, awarded by the Ministry of Education, and Jilin University's First-Class Doctoral Excellence Scholarship. His scholarly achievements and dedication have earned him the title of "Outstanding Graduate" and the Geological Instrument Scholarship from Jilin University. These accolades reflect his exceptional research performance and his ongoing impact in his field.

🌍 Impact and Influence

Dr. Yang’s influence extends beyond academia, as he actively participates in shaping engineering knowledge as a reviewer for top journals like IEEE Transactions on Instrumentation and Measurement. His work on projects, such as the National Natural Science Foundation of China project on environmental recognition for engineering vehicles, has pushed the boundaries of how advanced data processing can improve machine vision in complex environments. His contributions to deep borehole observation technology are advancing our understanding of deep-earth environments, with applications in various scientific and industrial domains.

🏅 Legacy and Future Contributions

Dr. Yang’s career represents a blend of innovation, interdisciplinary expertise, and real-world applications. His research in precision engineering, machine vision, and magnetic sensing continues to inspire advancements in technology and scientific exploration. His legacy lies in both his published works and his commitment to teaching, mentoring, and advancing engineering research. Looking forward, Dr. Yang is set to further enrich the field of electronic information engineering, leaving an enduring impact on the next generation of scientists and engineers.

 

Publications

📝 SwinLabNet: Jujube Orchard Drivable Area Segmentation Based on Lightweight CNN-Transformer Architecture

Authors: Mingxia Liang, Longpeng Ding, Jiangchun Chen, Liming Xu, Xinjie Wang, Jingbin Li, Hongfei Yang
Journal: Agriculture
Year: 2024

📝 Neural Network-Based 3D Point Cloud Detection of Targets in Unstructured Environments

Authors: D. Wang, H. Yang, Z. Yao, Z. Chang, Y. Wang
Journal: Advances in Mechanical Engineering
Year: 2024

📝 MI-FPD: Magnetic Information of Free Precession Signal Data Measurement Method for Bell-Bloom Magnetometer

Authors: D. Bai, L. Cheng, Y. Sun, H. Yang, Y. Wang
Journal: IEEE Transactions on Geoscience and Remote Sensing
Year: 2024

📝 Efficient Measurement of Free Precession Frequency in Bell-Bloom Atomic Magnetometers

Authors: D. Bai, Y. Zhou, Y. Sun, H. Yang, Y. Wang
Journal: IEEE Transactions on Instrumentation and Measurement
Year: 2024

📝 EHA-YOLOv5: An Efficient and Highly Accurate Improved YOLOv5 Model for Workshop Bearing Rail Defect Detection Application

Authors: J. Hu, H. Yang, J. He, D. Bai, H. Chen
Journal: IEEE Access
Year: 2024

 

Kalyanapu Srinivas | Computer Science | Best Researcher Award

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Dr. Kalyanapu Srinivas | Computer Science | Best Researcher Award

Vaagdevi Engineering College | India

Author Profile

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Early Academic Pursuits 🎓

Dr. Kalyanapu Srinivas embarked on his academic journey with a Bachelor of Technology (B.Tech) in Computer Science Engineering from Vidya Bharathi Institute of Technology, graduating in 2006 with First Division honors. He continued to advance his studies with a Master of Technology (M.Tech) in Software Engineering from Ramappa Engineering College in 2010, where he achieved Distinction with a 78.2% score. Further solidifying his academic prowess, Dr. Srinivas completed his Ph.D. in Cryptography & Network Security at JNTU, Hyderabad in 2020.

Professional Endeavors 💼

Dr. Srinivas has accumulated over 16 years of experience in academia. His professional journey includes roles such as Assistant Professor at various institutions, including Vaagdevi Engineering College, Kakatiya Institute of Technology and Science, and SR Engineering College. His tenure in these roles highlights his commitment to advancing the field of computer science and engineering. Notably, he has been involved in teaching, research, and academic administration.

Contributions and Research Focus 🔬

Dr. Srinivas’s research primarily focuses on Cryptography and Network Security, with a keen interest in Data Mining, Cloud Computing, and Quantum Computing. His Ph.D. thesis, titled "Novel Techniques for Image-Based Key Generation using Chinese Remainder Theorem and Chaotic Logistic Maps," reflects his innovative approach to enhancing security protocols. Additionally, his ongoing research guidance includes supervising several Ph.D. students in areas such as Wireless Networks and Cloud Computing.

Accolades and Recognition 🏆

Dr. Srinivas has earned significant recognition throughout his career. His work in machine learning and cryptography has led to the publication of a patent on Alzheimer's prediction using machine learning. He has also been honored as a session chair at the International Conference on Research in Science, Engineering, Technology, and Management (ICRSETM2020) and served as a guest speaker at SAFER INTERNET DAY 2023. His expertise has been acknowledged through editorial and review roles for various conferences and journals.

Impact and Influence 🌍

Dr. Srinivas’s contributions extend beyond his research. His involvement in organizing and participating in short-term training programs (STTP) on IoT simulation and fog computing showcases his dedication to fostering knowledge and innovation in emerging technologies. His role as a primary evaluator for TOYCATHON 2021 further emphasizes his influence in shaping the future of technology education and development.

Legacy and Future Contributions 🚀

Looking ahead, Dr. Srinivas is poised to continue making impactful contributions to the fields of cryptography and network security. His research initiatives and academic leadership are expected to drive advancements in secure computing and innovative technologies. As he mentors the next generation of researchers and contributes to cutting-edge research, his legacy in the academic and professional realms will undoubtedly endure, inspiring future advancements in technology and education.

 

Publications 📚

  • Article: Underground Water Level Prediction in Remote Sensing Images Using Improved Hydro Index Value with Ensemble Classifier
    Authors: Stateczny, A., Narahari, S.C., Vurubindi, P., Guptha, N.S., Srinivas, K.
    Journal: Remote Sensing
    Year: 2023
  • Article: User-segregation based channel estimation in the MIMO system
    Authors: Patra, R.K., Kumar, M.H., Srinivas, K., Sekhar, P.C., Subhashini, S.J.
    Journal: Physical Communication
    Year: 2023
  • Book Chapter: An Enhancement in Crypto Key Generation Using Image Features with CRT
    Authors: Srinivas, K., Kumar, N.S., Sanathkumar, T., Rama Devi, K.
    Book: Cognitive Science and Technology
    Year: 2023
  • Article: Plant disease classification using deep bilinear CNN
    Authors: Rao, D.S., Ramesh Babu, C., Kiran, V.S., Mohan, G.S., Bharadwaj, B.L.
    Journal: Intelligent Automation and Soft Computing
    Year: 2022
  • Article: Symmetric key generation algorithm using image-based chaos logistic maps
    Authors: Srinivas, K., Janaki, V.
    Journal: International Journal of Advanced Intelligence Paradigms 🧠
    Year: 2021