Qinnan Chen | Engineering | Best Researcher Award

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Assoc. Prof. Dr. Qinnan Chen | Engineering | Best Researcher Award

Assoc. Prof. Dr. Qinnan Chen, Xiamen University, China

Dr. Qinnan Chen is an Associate Professor at the Pen-Tung Sah Institute of Micro-Nano Science and Technology, Xiamen University, China. With a Ph.D. in Optical Engineering from Tianjin University, Dr. Chen specializes in cutting-edge research in light-matter interactions, micro/nano-structure evolution, and multi-physical perception technologies. His work is at the forefront of extreme-environment photoelectric sensing and micro-nano manufacturing for aerospace and renewable energy sectors. Over his academic career, Dr. Chen has led prestigious national and provincial research projects and published prolifically in top-tier journals. His innovations in sensor design and microfabrication have garnered significant citations, demonstrating a high impact on the field. As a senior member of multiple scientific societies and an active editor, he contributes broadly to the scientific community. Dr. Chen’s commitment to interdisciplinary excellence continues to inspire emerging scholars and drive technological breakthroughs in advanced engineering systems.

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🌟 Assessment of Dr. Qinnan Chen, Ph.D. – Suitability for the Research for Best Researcher Award

Dr. Qinnan Chen, currently serving as an Associate Professor at the Pen-Tung Sah Institute of Micro-Nano Science and Technology, Xiamen University, exemplifies the caliber of an ideal candidate for the Research for Best Researcher Award. His career reflects sustained excellence in micro/nano-scale science and technology, particularly in the areas of photoelectric sensing, micro-nano manufacturing, and extreme-environment sensor applications. With over 1,500 citations and an impressive H-index of 26, his scientific influence and research productivity are significant.

Dr. Chen’s academic trajectory—from Ph.D. in Optical Engineering to postdoctoral and faculty appointments—demonstrates a commitment to innovation and interdisciplinary application. His work under China’s National Natural Science Foundation and Major Provincial Science and Technology Projects speaks to both the national and regional significance of his research. Furthermore, his active role in courses related to electrical engineering, optics, and nano-manufacturing shows a commendable dedication to cultivating future researchers.

🎓 Education 

Dr. Qinnan Chen received his Ph.D. in Optical Engineering from Tianjin University in 2015. His doctoral research laid a robust foundation in photonics, fiber sensing, and optical instrumentation, equipping him with advanced theoretical and practical skills in nano-optics and sensor systems. He previously earned his bachelor’s degree in Optoelectronic Information Science and Engineering through a joint program between Tianjin University and Nankai University in 2010. This program emphasized photonics, electronics, and material sciences, shaping his early interest in micro/nano systems and their applications. The multidisciplinary training Dr. Chen acquired has been instrumental in his ability to bridge engineering with materials science, enabling him to pursue high-impact research in extreme-environment sensing and manufacturing. His academic pathway reflects a strong emphasis on precision instrumentation, smart materials, and advanced fabrication technologies, forming the backbone of his current innovative work in high-temperature sensors and aerospace micro-devices.

💼 Professional Experience 

Dr. Qinnan Chen currently serves as Associate Professor at Xiamen University (2023–Present), where he continues his groundbreaking research on extreme-environment sensors and micro-nano devices. Prior to this role, he was an Assistant Professor (2018–2023) and earlier, a Postdoctoral Fellow (2015–2018) at the same university. His academic journey is rooted in advancing microfabrication methods and multi-functional sensors for aerospace and energy applications. Dr. Chen has been the principal investigator on major national grants including projects from the National Natural Science Foundation of China and the National Key R&D Program. He also holds various part-time academic roles, such as Editor for Nanotechnology and Precision Engineering and Technical Observer in national standardization committees. Alongside teaching core engineering courses, he actively mentors undergraduate and postgraduate students. Dr. Chen’s leadership in research and education is helping shape the next generation of micro-nano engineers and driving the future of intelligent sensing technology.

🏅 Awards and Recognition 

Dr. Qinnan Chen has received multiple prestigious awards recognizing his contributions to engineering innovation and education. Notably, he was honored with the First Prize for Science and Technology Progress of Fujian Province (2022) and Second Prize for Science and Technology Progress of Xiamen City (2020). He earned the Second Prize for Outstanding Academic Papers in Natural Sciences in Fujian Province (2020), acknowledging his research excellence. Dr. Chen was nominated for the 2022 MINE Outstanding Young Scientist Award and won Second Prize in Fujian Province’s Young Teachers’ Electrical Engineering Competition (2023). As a high-level talent recognized by both Fujian Province and Xiamen City, he is deeply engaged in national and provincial research initiatives. He is a senior member of the Chinese Micro-Nano Technology Society, the Chinese Optical Society, and more. His accolades reflect both scholarly distinction and leadership in China’s evolving engineering landscape.

🌍 Research Skills On Engineering

Dr. Qinnan Chen’s research expertise lies in light-matter interaction, property-structure evolution, multi-physical perception, and conformal microfabrication. He has developed state-of-the-art polymer-derived ceramic sensors for high-temperature applications, with successful implementations in aerospace and new energy systems. His skillset spans 3D printing of ceramic thermistors, thin-film strain and heat flux sensors, and direct ink writing of nanomaterials. He exhibits mastery in extreme-environment testing, plasma-based devices, and micro-nano manufacturing. As a corresponding author of numerous high-impact publications, he merges theory and application, consistently pushing boundaries in sensing technologies. Dr. Chen is adept at managing interdisciplinary projects across materials science, optics, mechanical engineering, and thermal systems. His research continues to advance China’s strategic capabilities in smart sensing and microscale device innovation. With over 1500 citations and an h-index of 26, he exemplifies excellence in high-impact engineering research.

📖   Publication Top Notes

  • A high-efficiency multiple events discrimination method in optical fiber perimeter security system
    Authors: K Liu, M Tian, T Liu, J Jiang, Z Ding, Q Chen, C Ma, C He, H Hu, X Zhang
    Journal of Lightwave Technology, 33 (23), 4885-4890
    Citations: 84 | Year: 2015

  • An elimination method of polarization-induced phase shift and fading in dual Mach–Zehnder interferometry disturbance sensing system
    Authors: Q Chen, T Liu, K Liu, J Jiang, Z Ding, L Zhang, Y Li, L Pan, C Ma
    Journal of Lightwave Technology, 31 (19), 3135-3141
    Citations: 73 | Year: 2013

  • 3D printed microfluidic chip for multiple anticancer drug combinations
    Authors: X Chen, H Chen, D Wu, Q Chen, Z Zhou, R Zhang, X Peng, YC Su, D Sun
    Sensors and Actuators B: Chemical, 276, 507-516
    Citations: 63 | Year: 2018

  • An improved positioning algorithm with high precision for dual Mach–Zehnder interferometry disturbance sensing system
    Authors: Q Chen, T Liu, K Liu, J Jiang, Z Shen, Z Ding, H Hu, X Huang, L Pan, …
    Journal of Lightwave Technology, 33 (10), 1954-1960
    Citations: 60 | Year: 2015

  • Note: Improving spatial resolution of optical frequency-domain reflectometry against frequency tuning nonlinearity using non-uniform fast Fourier transform
    Authors: Z Ding, T Liu, Z Meng, K Liu, Q Chen, Y Du, D Li, XS Yao
    Review of Scientific Instruments, 83 (6)
    Citations: 56 | Year: 2012

  • Cryogenic temperature measurement using Rayleigh backscattering spectra shift by OFDR
    Authors: Y Du, T Liu, Z Ding, Q Han, K Liu, J Jiang, Q Chen, B Feng
    IEEE Photonics Technology Letters, 26 (11), 1150-1153
    Citations: 55 | Year: 2014

  • High-temperature electrical properties of polymer-derived ceramic SiBCN thin films fabricated by direct writing
    Authors: C Wu, X Pan, F Lin, Z Cui, X Li, G Chen, X Liu, Y He, G He, Z Hai, Q Chen, …
    Ceramics International, 48 (11), 15293-15302
    Citations: 49 | Year: 2022

  • TiB₂/SiCN thin-film strain gauges fabricated by direct writing for high-temperature application
    Authors: C Wu, X Pan, F Lin, Z Cui, Y He, G Chen, Y Zeng, X Liu, Q Chen, D Sun, …
    IEEE Sensors Journal, 22 (12), 11517-11525
    Citations: 46 | Year: 2022

  • Direct write of a flexible high-sensitivity pressure sensor with fast response for electronic skins
    Authors: Y Luo, D Wu, Y Zhao, Q Chen, Y Xie, M Wang, L Lin, L Wang, D Sun
    Organic Electronics, 67, 10-18
    Citations: 44 | Year: 2019

  • Polymer-derived ceramic thin-film temperature sensor
    Authors: Z Cui, X Li, X Pan, G Chen, Y Li, J Lin, C Wu, X Liu, T Yang, Z Hai, G He, …
    Sensors and Actuators A: Physical, 332, 113038
    Citations: 43 | Year: 2021

Karthik K | Engineering | Best Researcher Award

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Dr. Karthik K | Engineering | Best Researcher Award

Dr. Karthik K, Vellore Institute of Technology, Vellore, India

Karthik K is an accomplished academician and researcher specializing in computer vision, deep learning, and medical imaging. With over a decade of experience in teaching and research, he has contributed significantly to the field of artificial intelligence in healthcare applications. Currently serving as an Assistant Professor Sr Grade I at Vellore Institute of Technology, Vellore, he has previously worked at St. Joseph Engineering College and NITK, Surathkal. His research is backed by strong academic credentials, numerous publications, and active collaborations with esteemed institutions like NITK, NITPy, and VIT AP. Karthik has received the VIT Seed Grant for AI-driven cricket commentary generation and has applied for prestigious research grants. His contributions to automated medical scan quality enhancement and content-based medical image retrieval have been widely recognized. An active IEEE and IAENG member, he continues to drive innovation in AI and deep learning for intelligent healthcare applications.

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Evaluation of Dr. Karthik K for the Research for Best Researcher Award

Dr. Karthik K, currently an Assistant Professor Sr. Grade I at the Vellore Institute of Technology (VIT), has demonstrated strong research contributions in the fields of computer vision, deep learning, and medical imaging. His research spans content-based medical image retrieval, automated radiography report retrieval, and deep learning-based medical scan quality enhancement, which have direct applications in intelligent healthcare systems. With six journal publications in SCI and Scopus-indexed journals, along with 145 citations, his academic impact is notable.

In addition to his research, Dr. Karthik has published book chapters, submitted a patent, and collaborated with reputed institutions such as NITK, NITPy, and VIT AP. His contributions to AI-driven healthcare applications, particularly in medical image classification and enhancement, showcase his innovative approach to solving real-world medical challenges. Furthermore, his ongoing VIT Seed Grant project on AI-generated cricket commentary and a DST-SURE research grant under review indicate his continued commitment to advancing AI applications across multiple domains.

🎓 Education 

Karthik K has built a strong academic foundation in the fields of computer science and engineering. He pursued his Bachelor’s and Master’s degrees with a focus on artificial intelligence, deep learning, and medical imaging. His research interests led him to work as a Research Fellow at NITK Surathkal, where he contributed to the DST-ECR-funded project on deep learning frameworks for intelligent healthcare applications. During his tenure, he gained extensive expertise in content-based medical image retrieval and automated medical scan enhancements. His academic journey has been marked by continuous learning and contributions to research, with publications in renowned journals and conferences. Karthik’s passion for AI-driven innovations is evident in his scholarly work, patents, and ongoing research projects. His educational background has laid the foundation for his teaching and research career, equipping him with the knowledge and skills to drive advancements in AI, deep learning, and medical imaging applications.

💼 Professional Experience 

Karthik K brings over 10 years of experience in academia and research. He is currently an Assistant Professor Sr Grade I at Vellore Institute of Technology, Vellore, where he specializes in AI, computer vision, and medical imaging. Prior to this, he was an Assistant Professor at St. Joseph Engineering College, Vamanjoor, Mangaluru (2020–2023) and an Assistant Lecturer at NITK, Surathkal (2015–2017). His professional journey includes a research fellowship at NITK Surathkal, where he worked on a DST-ECR-funded project developing deep learning frameworks for intelligent healthcare. Karthik has contributed significantly to AI-driven innovations, collaborating with institutions like NITK, NITPy, and VIT AP. His expertise extends to consultancy projects, editorial appointments, and patents. He has published extensively in SCI and Scopus-indexed journals and remains actively involved in advancing deep learning applications for medical imaging, making significant contributions to academia and industry collaborations.

🏅 Awards and Recognition

Karthik K has been recognized for his contributions to artificial intelligence and medical imaging research. He received the VIT Seed Grant (2023–2025) for his innovative project on AI-driven cricket commentary generation. Additionally, he has applied for the DST-SURE research grant, currently under review. His work in content-based medical image retrieval and deep neural networks for healthcare applications has been acknowledged in multiple international journals and conferences. Karthik has published several book chapters with ISBN numbers, showcasing his expertise in AI and deep learning. He actively collaborates with esteemed institutions and has been invited for editorial appointments in reputed journals. His research contributions have earned him membership in professional organizations such as IEEE and IAENG. With over 145 citations in SCI and Scopus-indexed publications, his work continues to impact the field of intelligent healthcare applications. His commitment to research excellence makes him a strong contender for prestigious awards.

🌍 Research Skills On Engineering

Karthik K possesses extensive research skills in computer vision, deep learning, and medical imaging. His expertise includes developing AI-driven frameworks for intelligent healthcare applications, enhancing medical scan quality, and implementing deep neural networks for automated medical image retrieval. He has successfully led research projects, including a DST-ECR-funded initiative at NITK Surathkal and ongoing consultancy projects. His ability to integrate AI with real-world healthcare challenges has resulted in significant innovations such as ViewNet for scan orientation and automated radiography report retrieval. Karthik’s research has been published in SCI and Scopus-indexed journals, contributing to the broader scientific community. He is skilled in grant writing, patent filing, and interdisciplinary collaborations, with active partnerships with NITK, NITPy, and VIT AP. His research acumen, combined with hands-on experience in deep learning and AI applications, positions him as a leader in advancing intelligent healthcare solutions through cutting-edge technology.

 📖 Publication Top Notes

  • Title: A deep neural network model for content-based medical image retrieval with multi-view classification
    Authors: K Karthik, SS Kamath
    Citation: 60
    Year: 2021
  • Title: A hybrid feature modeling approach for content-based medical image retrieval
    Authors: K Karthik, SS Kamath
    Citation: 16
    Year: 2018
  • Title: COVIDDX: AI-based Clinical Decision Support System for Learning COVID-19 Disease Representations from Multimodal Patient Data
    Authors: V Mayya, K Karthik, KS Sowmya, K Karadka, J Jeganathan
    Citation: 13
    Year: 2021
  • Title: Analysis and prediction of fantasy cricket contest winners using machine learning techniques
    Authors: K Karthik, GS Krishnan, S Shetty, SS Bankapur, RP Kolkar, TS Ashwin, …
    Citation: 13
    Year: 2021
  • Title: MSDNet: A deep neural ensemble model for abnormality detection and classification of plain radiographs
    Authors: K Karthik, S Sowmya Kamath
    Citation: 12
    Year: 2023
  • Title: Deep neural models for automated multi-task diagnostic scan management—quality enhancement, view classification and report generation
    Authors: K Karthik, S Kamath
    Citation: 12
    Year: 2021
  • Title: Automatic quality enhancement of medical diagnostic scans with deep neural image super-resolution models
    Authors: K Karthik, SS Kamath, SU Kamath
    Citation: 6
    Year: 2020
  • Title: An automated robotic arm: a machine learning approach
    Authors: NSK Rao, NJ Avinash, HR Moorthy, K Karthik, S Rao, S Santosh
    Citation: 5
    Year: 2021
  • Title: Automated view orientation classification for x-ray images using deep neural networks
    Authors: K Karthik, S Kamath
    Citation: 3
    Year: 2021
  • Title: GAN-Based Encoder-Decoder Model for Multi-Label Diagnostic Scan Classification and Automated Radiology Report Generation
    Authors: R Kumar, K Karthik, SS Kamath
    Citation: 3

Prof. Dr. Chiachung Chen | Engineering | Best Researcher Award

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Prof. Dr. Chiachung Chen | Engineering | Best Researcher Award

Prof. Dr. Chiachung Chen | Engineering | Best Researcher Award

Dr. Chiachung Chen (陳加忠) is a Distinguished Professor in the Department of Bio-industrial Mechatronics Engineering at National Chung Hsing University in Taichung, Taiwan. With an impressive career devoted to agricultural engineering, Dr. Chen has contributed significantly to bio-industrial system integration and sustainable production processes. His expertise spans the optimization of production systems for various living organisms, from microorganisms and plants to animals and ecosystems, with applications extending even to advanced areas like space agriculture. Dr. Chen’s academic achievements have earned him global recognition, including multiple listings in Stanford University’s World’s Top 2% Scientists and numerous impactful publications. He has also actively contributed as a reviewer, earning the MDPI Top Reviewer Award and the Sensors Outstanding Reviewer Award. Dr. Chen’s dedication to promoting industrial research and global dialogue is evident through his administrative roles and prestigious invitations to international conferences.

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Summary of Suitability for the Research for Best Researcher Award

Dr. Chiachung Chen is an exemplary candidate for the “Research for Best Researcher Award” due to his outstanding achievements and impactful contributions in the field of Bio-industrial Mechatronics Engineering. As a distinguished professor at National Chung Hsing University, Dr. Chen’s academic credentials are robust, featuring a Ph.D. in Agricultural Engineering from the University of Minnesota and comprehensive degrees in Agricultural Engineering from National Taiwan University. His work stands out for its innovative approach, integrating and optimizing bio-industry production systems, with applications that range from advanced greenhouse technologies to space agriculture.

🎓 Education

Dr. Chiachung Chen holds a Ph.D. in Agricultural Engineering from the University of Minnesota, USA, where he developed a strong foundation in engineering principles and research methodologies essential for bio-industrial innovations. Prior to his doctoral studies, he completed his Master’s degree in Agricultural Engineering at National Taiwan University (NTU), Taiwan, where he focused on optimizing agricultural machinery and environmental engineering solutions. His undergraduate studies were also at NTU, where he obtained a Bachelor’s degree in Agricultural Engineering. Dr. Chen’s academic journey highlights his commitment to deepening knowledge in agricultural and bio-industrial systems, equipping him with expertise in designing and implementing technology-driven solutions for sustainable agricultural development. His education has positioned him as a thought leader in bio-industrial mechatronics engineering, fostering advancements in agricultural practices and contributing to the field’s evolution on a global scale.

💼  Professional Experience

Dr. Chiachung Chen has held key academic and leadership roles throughout his career. He served as the Head of the Department of Bio-industrial Mechatronics Engineering at National Chung Hsing University (2011-2014), where he championed academic excellence and research initiatives. He also led the Taiwan Commercial Orchid School (2007-2013), focusing on industry-academic collaboration to advance Taiwan’s orchid industry. As Director of the Africa Industrial Research Center (2019-2023), he facilitated international research projects and capacity-building programs. Dr. Chen’s professional experience includes extensive work on integrating bio-industrial systems and promoting global research collaboration. His research and leadership have resulted in impactful advancements in bio-industrial technology and sustainable agricultural practices, with a focus on enhancing production efficiency and ecological balance.

🏅  Awards and Recognitions

  1. World’s Top 2% Scientists (2020-2023): Recognized by Stanford University and Elsevier for significant contributions to science, Dr. Chen has appeared in lifetime and annual impact rankings from 1960 to 2023.
  2. 2020 MDPI Top Reviewer Award: Honored as one of 30 top reviewers from 369,916 scholars for contributions to MDPI journals.
  3. Top Cited Paper (2020): Co-authored a highly cited paper in the Sensors journal, titled “Investigation of the Impact of Infrared Sensors on Core Body Temperature Monitoring.”
  4. Sensors 2022 Outstanding Reviewer Award: Selected as one of five winners out of 25,000 reviewers, highlighting his influence in the field of sensor research.
  5. Kigali Global Dialogue (2023): Invited by the Observer Research Foundation to participate in a major global dialogue on sustainability in Kigali, Rwanda.

🌍 Research Skills

Dr. Chiachung Chen’s research skills are centered on the integration of bio-industrial systems, sustainable agricultural engineering, and the application of mechatronics in biological processes. He specializes in optimizing greenhouse technology and developing advanced sensors for agricultural monitoring. His work encompasses large-scale production systems, including microorganism cultivation, precision agriculture, and even space agriculture solutions. Dr. Chen is adept at interdisciplinary research, merging engineering principles with biological sciences to improve efficiency and sustainability. His innovative approach has resulted in numerous patents and scholarly publications, positioning him as a leader in using mechatronic solutions to address global agricultural challenges. His skills also include statistical analysis, system modeling, and experimental design, ensuring robust and replicable research outcomes.

📖 Publiaction Top Notes

  • Comparison of Classical and Inverse Calibration Equations in Chemical Analysis
  • The Effect of Temperature on the Inflorescence Formation Model for Phalaenopsis
  • Study on the Shape Characteristics and the Allometry of Phalaenopsis Leaves for Greenhouse Management
  • An Empirical Equation for Wet-Bulb Temperature Using Air Temperature and Relative Humidity
  • From Laboratory to Field: The Effect of Controlling Oscillations in Temperature on the Growth of Crops