Minzhao Lin | DNA nanomachines, smart hydrogels, ultrasound-responsive systems, tumor diagnostics | Best Researcher Award

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Dr. Minzhao Lin | DNA nanomachines, smart hydrogels, ultrasound-responsive systems, tumor diagnostics | Best Researcher Award

Dezhou University, China

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Early Academic Pursuits

Dr. Minzhao Lin embarked on his academic journey with a robust foundation in Biology and Medicine, earning his Ph.D. from the prestigious Sun Yat-sen University. His early interest in nanomedicine and molecular systems set the stage for a research trajectory deeply rooted in interdisciplinary innovation. During his doctoral years, he delved into biosensors and DNA nanotechnology, gaining the technical acumen and experimental rigor that would later define his contributions to biomedical engineering and diagnostics.

Professional Endeavors

Currently serving as a Lecturer at Dezhou University’s Institute of Rural Revitalization, Dr. Lin leads a dynamic research group focused on fusing DNA nanotechnology with smart drug delivery and biosensing platforms. His position allows him to mentor young scientists while pushing forward impactful projects that address real-world healthcare and environmental challenges. Despite a primarily academic focus, Dr. Lin maintains strong collaborative ties with institutions like the University of Pittsburgh and Sun Yat-sen University, reflecting his global academic presence.

Contributions and Research Focus

Dr. Lin's research revolves around DNA nanomachines, smart hydrogels, and ultrasound-responsive platforms, with applications in tumor diagnostics and pathogen detection. A hallmark of his work is the development of a sustainable, regenerating DNA motor system that combines magnetic separation for multi-use diagnostics. This innovation drastically reduces assay costs while enabling ultrasensitive detection of viral RNA and pesticide residues—achieving detection at the femtomolar level. His ability to integrate nanotechnology into applicable diagnostic systems places him at the forefront of translational biomedical innovation.

Impact and Influence

With over 525 citations and an h-index of 13 on Google Scholar, Dr. Lin’s publications have reached an international audience and inspired parallel research in biosensor development and molecular diagnostics. His work has been featured in high-impact journals and is frequently cited by researchers working on next-generation biosensors, indicating both academic excellence and societal relevance. His research is also particularly timely given global concerns about infectious diseases, food safety, and environmental toxins.

Academic Citations & Publications

Dr. Lin has authored numerous SCI and Scopus-indexed journal articles, establishing a strong academic footprint in the field of nanobiotechnology. Though he has not published any books, his scientific articles and patents (8 total, with 5 published and 3 under review) showcase a prolific output of peer-reviewed and innovation-based work. His ORCID profile 0000-0001-9697-3656 offers comprehensive access to his academic contributions.

Technical Skills

Dr. Lin is proficient in a suite of modern molecular tools, including DNA origami, hydrogel synthesis, nanomaterial fabrication, molecular diagnostics, and magnetic nanoparticle systems. His interdisciplinary training enables him to lead projects from conceptual design to prototype validation. This skill set is crucial in developing multifunctional biosensors for field and clinical use.

Teaching Experience

As a lecturer, Dr. Lin not only conducts high-impact research but also actively mentors undergraduate and postgraduate students in biomedical and molecular engineering. He integrates research insights into his teaching, cultivating a new generation of researchers equipped to tackle complex problems in diagnostics and therapeutics.

Legacy and Future Contributions

Dr. Minzhao Lin’s innovative spirit is reflected in his vision to make smart, sustainable diagnostics accessible across healthcare and environmental sectors. His pioneering DNA motor technology represents a shift toward affordable, reusable biosensors, which could dramatically improve diagnostic access in rural and underdeveloped regions. Looking forward, Dr. Lin aims to expand his research into clinical applications of nanomaterials and AI-integrated biosensing platforms, positioning himself as a long-term contributor to global health innovation.

Selected Publications

  • **Lin M**, Rui Wang, et al.
    Magnetic Multipedal DNA Walking Nanomachine Driven by Catalytic Hairpin Assembly
    Analytical Chemistry, 2023.
    Describes a magnetic DNA‑walking nanomachine enabling enhanced signal amplification and easy magnetic separation for rapid miRNA analysis site.convention.co.jp+4pubs.acs.org+4researchgate.net+4researchgate.net.

  • **Lin M**, Rui Wang, et al.
    Self‑Feedback DNAzyme Motor for Cascade‑Amplified Imaging of mRNA in Live Cells and In Vivo
    (Journal), 2024 (approx.).
    Focuses on multi‑component DNA nanomachines with catalytic activity for fluorescent imaging of mRNA in live cell and in vivo contexts researchgate.net.

  • Chengyu Yan, Yulin Hua, Jiarong Guo, Peng Miao, Lin M, Rui Wang, et al.
    Programmable DNA Hydrogels Construction with Functional Regulations for Biosensing Applications
    Trends in Analytical Chemistry, Feb 2024.
    Introduces programmable DNA hydrogels regulated for biosensing purposes, showcasing innovative DNA‑based responsive materials researchgate.net+1pmc.ncbi.nlm.nih.gov+1.

  • (Haohao Chen, Min Yuan, Fengqin Yin, Fei Xu; Lin M listed co-author on related research)
    Freezing‑Driven Assembly of DNA Walking Machine Facilitates G₄ Nanowires Growth for Electrochemical Detection of Kanamycin
    (Journal), Mar 2025.
    Demonstrates a DNA walking system creating G₄ nanowires for electrochemical pesticide detection

 

 

 

Prof. Qingjun Chen | Engineering | Best Researcher Award

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Prof. Qingjun Chen | Engineering | Best Researcher Award

Nanchang Hangkong University, China.

Qingjun Chen, PhD, is a distinguished professor and a high-end talent in scientific and technological innovation under Jiangxi Province's "Thousand Talents Plan." Recognized as a leading academic and technological figure in major disciplines, he serves as an academic leader and a young and middle-aged backbone teacher in Jiangxi Province. He has held key positions in various professional committees and serves as an expert reviewer for multiple national and provincial scientific organizations.

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Education

Qingjun Chen earned his PhD in Materials Science from Harbin Institute of Technology in 2006, solidifying his expertise in advanced materials research. In 2005, he broadened his academic exposure by conducting research at the University of Waikato, New Zealand, gaining international experience in material science innovations. Further enhancing his global academic collaborations, he served as a Visiting Scholar at North Carolina State University, USA, in 2010, where he deepened his research on material performance regulation and alloy applications.

Experience

Qingjun Chen has established himself as a leading expert in materials science, holding multiple prestigious roles in national and international scientific communities. He is a member of the Amorphous Alloys and Applications Committee under the Chinese Society of Metals and also contributes to the Railway Facilities Committee of the China Society for Corrosion and Protection. Additionally, he serves as a communication review expert for the National Natural Science Foundation of China and a letter review expert for the China Postdoctoral Science Foundation, actively shaping the direction of scientific research in the country. His expertise is widely recognized, and he has been a science and technology consultant and reviewer for multiple provincial and municipal research projects, ensuring the successful implementation of key scientific initiatives.

Research Interests

Advanced Material Organization & Performance Regulation – Investigating material structures and optimizing their properties for industrial use.

Innovative Materials Development – Designing new materials with enhanced durability and functionality.

Corrosion Protection – Developing advanced coatings and alloys to prevent material degradation.

Alloy Design & Optimization – Creating high-performance alloys for specialized applications.

National Defense Applications – Contributing to the development of materials for military and defense technologies.

Aerospace Engineering – Enhancing materials used in aircraft and space exploration for improved performance and safety.

Railway Infrastructure – Advancing material solutions to increase efficiency and longevity in railway construction and maintenance.

Awards & Recognitions

Provincial and Ministerial Science and Technology Award (Second Prize) – Ranked First

Recognized as a Young and Middle-aged Backbone Teacher in Jiangxi Province

Key contributor to Jiangxi Province's "Thousand Talents Plan"

Selected Publications

Nb-induced lattice changes to enhance corrosion resistance of Al₀.₅Ti₃Zr₀.₅NbₓMo₀.₂ high-entropy alloys
Q. Chen, X. Cui – Nature Communications, 2025

Amorphous-nanocrystalline dual-phase structured Fe₇₈Si₁₃B₉ alloy ribbons and their efficiency for degradation of direct yellow dye
Y. Zhao, Q. Chen, L. Ji, K. Wang, G. Huang – Reaction Kinetics, Mechanisms and Catalysis, 2024
1 Citation (Open Access)

Strengthening mechanism of electrocatalytic properties of high activity Fe-based amorphous alloys by low escape work nanocrystals
Y. Zhao, Q. Chen, L. Ji, K. Wang, G. Huang – Journal of Materials Research and Technology, 2024
2 Citations

Microstructure and Internal Friction Behavior of Laser 3D Printed Fe-Based Amorphous Composites
S. Huang, Q. Chen, L. Ji, K. Wang, G. Huang – Acta Metallurgica Sinica (English Letters), 2024
3 Citations

BCC/B2 structure and dislocation strengthening behavior in high Ti content TiAlVCrNb high-entropy alloys
T. Xu, Q. Chen, L. Ji, K. Wang, H. Liu – Journal of Alloys and Compounds, 2023
35 Citations

 

 

Dr. Huazhang Guo | Nanomaterials | Best Researcher Award

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Dr. Huazhang Guo | Nanomaterials | Best Researcher Award

Shanghai University, China.

Huazhang Guo is a Research Associate at Shanghai University, specializing in the green, controllable preparation and application of carbon nanomaterial functional materials. With a strong background in nanomaterials and catalysis, she has made significant contributions to sustainable energy conversion and chemical production. Over the years, she has published 13 high-impact journal articles, including in Nature Communications, Advanced Functional Materials, and Materials Today. Her work has garnered 1834 citations with an H-index of 22, and she also serves as a guest editor for the journals Molecules and Nanomaterials.

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Education 🎓

Huazhang Guo pursued her Ph.D. in Materials Science at Shanghai University, where she specialized in the green and controllable preparation of carbon nanomaterial functional materials. Prior to that, she earned her Master’s degree in Nanomaterials from the same institution, focusing on advanced material synthesis and their applications in energy conversion and catalysis. She began her academic journey with a Bachelor’s degree in Chemistry, which laid the foundation for her expertise in material chemistry, nanotechnology, and sustainable materials. Her strong academic background has contributed significantly to her research in carbon-based functional materials and electrocatalysis.

Experience 👩‍🔬

Huazhang Guo is currently a Research Associate at Shanghai University, where she focuses on the green and controllable preparation of carbon nanomaterial functional materials. In addition to her research role, she serves as a Guest Editor for the journals Molecules and Nanomaterials, contributing her expertise to advancing scientific publications in nanotechnology and materials science.

She actively collaborates with leading universities and has co-authored research papers in prestigious journals such as Nature Communications, ACS Nano, Carbon, Applied Materials Today, and Molecules. Her work emphasizes electrocatalysis, sustainable material applications, and nanomaterial innovations.

Research Interests 🔬

Carbon Nanomaterials: Green and controllable synthesis for various applications

Electrocatalytic Reduction of CO₂ (ECO₂RR): Sustainable syngas production with tunable CO/H₂ ratios

Energy Conversion & Catalysis: Designing efficient and stable carbon-based catalysts for CO₂ utilization

Advanced Functional Materials: Exploring their role in sustainable chemistry

Awards & Achievements 🏆

5 Highly Cited Papers (ESI Top Papers)

1834 Total Citations & H-index of 22

1 Authorized Chinese Invention Patent & 15 Patent Applications

Editorial Role in Molecules and Nanomaterials

Selected Publications 📚

Recent advances in amino-functionalized metal–organic frameworks for sustainable photocatalytic carbon dioxide reduction
Yaning Liu, Huazhang Guo, Zhonghua Sun, Jiye Zhang, Zhihui Zhang
Separation and Purification Technology, 2025
Cited by: 1

Harnessing graphene quantum dots for the selective and sensitive detection of dye contaminants
Yuping Xiong, Weitao Li, Luoman Zhang, Jiye Zhang, Liang Wang
Diamond and Related Materials, 2025

Optimizing the crystal structure and electrochemical properties of Na₄MnCr(PO₄)₃ by trace La doping
Keyi Sun, Yuxuan Liu, Wenbin Fei, Yulei Sui, Ling Wu
Applied Surface Science, 2025

Radiation-synthesis of covalent bonding heterojunctions for selective solar-driven CO₂ reduction
Weidong Hou, Huazhang Guo, Kang Wang, Ming Hong Wu, Liang Wang
Materials Today, 2025

Radiation-Synthesized Metal–Organic Frameworks with Ligand-Induced Lewis Pairs for Selective CO₂ Electroreduction
Wenhui Liu, Bijun Tang, Kai Huang, Zhendong Lei, Liang Wang
Small, 2024
Cited by: 7

 

 

 

Assoc. Prof. Dr. Riccardo Sacco | Mathematical Modeling in Medicine | Best Researcher Award

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Assoc. Prof. Dr. Riccardo Sacco | Mathematical Modeling in Medicine | Best Researcher Award

Icahn School of Medicine at Mount Sinai Hospital New York, United States.

Riccardo Sacco is an Italian mathematician and engineer based in New York, USA. He is currently an Associate Scientist at the Icahn School of Medicine, Mount Sinai Hospital, with over two decades of expertise in numerical analysis, computational modeling, and applied mathematics. Riccardo has published extensively, mentoring numerous students and contributing significantly to research in ophthalmology and engineering applications.

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🎓 Education

Assoc. Prof. Dr. Riccardo Sacco is a distinguished academic and researcher with expertise in electronic engineering and applied mathematics. Holding a combined B.Sc./M.Sc. in Electronic Engineering from Politecnico di Milano (1989) and a Ph.D. in Applied Mathematics from Università degli Studi di Milano (1993), he has significantly contributed to the field through innovative research and teaching. Following his doctoral studies, Dr. Sacco pursued post-doctoral fellowships at CNR and Università degli Studi di Milano (1993–1995), further advancing his knowledge in applied mathematics. Currently, he serves as an Associate Professor, sharing his expertise and fostering the next generation of engineers and mathematicians.

💼 Experience

Assoc. Prof. Dr. Riccardo Sacco has built a remarkable academic and professional career, blending teaching, research, and global collaboration. Since 2024, he has served as an Associate Scientist at the Icahn School of Medicine, Mount Sinai Hospital in New York, USA, where he contributes to groundbreaking research in applied mathematics and computational methods. Prior to this role, he spent over two decades at Politecnico di Milano (PoliMi), serving as an Associate Professor of Numerical Analysis from 2001 to 2024, and earlier as an Assistant Professor in Numerical Analysis from 1995 to 2001.

Dr. Sacco’s academic journey is enriched by several international appointments as a Visiting Scientist, including at AT&T Bell Labs (1990), Georgia Tech (2003), Université de Strasbourg (2015), and North Carolina State University (2018). These experiences reflect his commitment to advancing numerical analysis and fostering global scientific collaboration.

🔬 Research Interests

Numerical Analysis and Computational Modeling: Application in engineering, medicine, and electronics

Ophthalmology: Modeling aqueous humor dynamics and intraocular pressure

Multi-physics and Multi-scale Problems: Nano-bio-electronics and semiconductor modeling

🏆 Awards and Honors

2010: Co-author of the Most Downloaded Article in Computer Methods in Applied Mechanics and Engineering

2001: Featured in Who’s Who in the World, 18th Edition

📚 Selected Publications

Reduced-Order Model for Cell Volume Homeostasis: Application to Aqueous Humor Production
Mathematical and Computational Applications
2025-01-24 | Journal Article
Contributors: Riccardo Sacco, Greta Chiaravalli, Giovanna Guidoboni, Anita Layton, Gal Antman, Keren Wood Shalem, Alice Verticchio, Brent Siesky, Alon Harris

Reduced-Order Model for Cell Volume Homeostasis: Application to Aqueous Humor Production
Preprint
2024-12-19
Contributors: Riccardo Sacco, Greta Chiaravalli, Giovanna Guidoboni, Anita Layton, Gal Antman, Keren Wood Shalem, Alice Verticchio, Brent Siesky, Alon Harris

The Role of Conventional and Unconventional Adaptive Routes in Lowering Intraocular Pressure: Theoretical Model and Simulation
Physics of Fluids
2023-06-01 | Journal Article
Contributors: Riccardo Sacco, Greta Chiaravalli, Gal Antman, Giovanna Guidoboni, Alice Verticchio, Brent Siesky, Alon Harris

Nanoparticle-Based Retinal Prostheses: The Effect of Shape and Size on Neuronal Coupling
Photonics
2022-09-29 | Journal Article
Contributors: Greta Chiaravalli, Guglielmo Lanzani, Riccardo Sacco

Corrections to “Cardiovascular Function and Ballistocardiogram: A Relationship Interpreted via Mathematical Modeling”
IEEE Transactions on Biomedical Engineering
2020-10 | Journal Article
Contributors: Giovanna Guidoboni, Lorenzo Sala, Moein Enayati, Riccardo Sacco, Marcela Szopos, James M. Keller, Mihail Popescu, Laurel Despins, Virginia H. Huxley, Marjorie Skubic

 

 

 

Mr. Muhammad Ahsan Saleem | Additive Manufacturing | Best Researcher Award

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Mr. Muhammad Ahsan Saleem | Additive Manufacturing | Best Researcher Award

Nanjing University of Science and Technology, China

Muhammad Ahsan Saleem is a dedicated Mechatronics Engineer and interdisciplinary researcher based in Nanjing, China. He specializes in leveraging his creativity, technical expertise, and collaborative mindset to solve complex engineering challenges, with a focus on cutting-edge technologies such as 3D printing, machine learning, and advanced manufacturing techniques.

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Education 📚

Muhammad Ahsan Saleem is a highly accomplished engineer pursuing his Doctor of Engineering in Mechanical Engineering at Nanjing University of Science and Technology (NUST), China (2020–Present). His doctoral research emphasizes advanced manufacturing techniques, including 3D printing and machine learning applications in mechanical engineering.

Previously, he earned his Master of Engineering in Mechanical Engineering from NUST, China (2015–2018), where he deepened his expertise in precision engineering and experimental design, particularly focusing on innovative solutions for multi-material fabrication.

His academic journey began with a Bachelor of Science in Mechatronics Engineering from the University of Engineering and Technology (UET), Pakistan (2009–2013). During his undergraduate years, he explored interdisciplinary approaches to mechanical systems, robotics, and automation, laying a solid foundation for his advanced studies.

Experience 💼

Researcher | Nanjing University of Science and Technology, China (2020–Present)
Muhammad Ahsan Saleem is actively engaged in cutting-edge research focused on 3D printing, inkjet technologies, and the application of machine learning to optimize manufacturing processes. He has developed innovative experimental setups to analyze and enhance jetting behaviors for high-viscosity inks, leading to advancements in multi-material 3D printing for functional electronics such as resistors.

Mechatronics Engineer | Enginesound Automation Technology, Shanghai, China (2019–2020)
At Enginesound Automation Technology, he designed advanced calibration devices for textile machinery, utilizing Micro-Epsilon capacitive sensors. He also developed Android applications that integrated Bluetooth technologies to enable wireless data transfer and seamless system connectivity, showcasing his ability to bridge mechanical systems with digital solutions.

Trainee Engineer | Attock Refinery Limited, Pakistan (2013–2015)
During his tenure at Attock Refinery Limited, Muhammad ensured HVAC systems adhered to engineering standards and codes, maintaining precise documentation of processes. His role emphasized the importance of compliance and quality control in industrial systems.

Research Interests 🔬

Advanced Manufacturing: 3D Printing and Inkjet Technologies

Muhammad Ahsan Saleem specializes in exploring innovative approaches to 3D printing, focusing on inkjet-based technologies. His work emphasizes optimizing jetting behaviors for high-viscosity inks and advancing multi-material printing techniques, enabling the creation of complex functional components.

Machine Learning Applications in Engineering

He integrates machine learning algorithms into experimental and data-driven frameworks to enhance manufacturing precision. This includes predicting printing outcomes, optimizing parameters, and automating processes for greater efficiency and accuracy.

Structural Analysis of Multi-Material Components

Ahsan conducts structural investigations of multi-material components produced via advanced manufacturing methods. His expertise includes analyzing material properties and ensuring precision through techniques like scanning electron microscopy (SEM) and energy dispersive spectroscopy (EDS).

Functional Electronics and Material Science

His research also focuses on the development of functional electronics, such as resistors, through innovative material compositions. By combining conductive and insulating materials, he achieves precise resistivity levels and enhances the performance of printed electronic devices.

Awards & Certifications 🏆

Computer Vision and Image Processing Fundamentals (edX | IBM, 2024)

Machine Learning with Python (edX | IBM, 2022)

Python Data Structures (Coursera | University of Michigan, 2021)

Chinese for HSK 2 (Coursera | Peking University, 2021)

Registered Engineer (Pakistan Engineering Council, 2014)

Publications 📝

"A Novel Data-Driven Formulation for Predicting Jetting States and Printing Zones of High-Viscosity Nano-Silver Ink in Inkjet-Based 3D Printing" (Precision Engineering, November 2024, In Press). Link

"Influence of Silicon Carbide on Direct Powder Bed Selective Laser Process (Sintering/Melting) of Alumina" Published in Materials (2022, 15[2], 637). Cited by: 09 articles. Link

"Quantized Event-Triggered Feedback Control under Fuzzy System with Time-Varying Delay and Actuator Fault" Published in Nonlinear Analysis: Hybrid Systems (2020, Volume 35). Cited by: 16 articles. Link