Qiang He | biomedical engineering | Best Researcher Award

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Prof. Qiang He  –  biomedical engineering  –  Best Researcher Award

Northeastern University | China

      Profil

Scopus

Scholar

📍Current Position

Professor Qiang He is currently serving as an Associate Professor at the College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China. With a robust background in computer application technology and a multidisciplinary approach, he is a key contributor to cutting-edge research initiatives in machine learning, data mining, and healthcare informatics.

 

📝Publication Achievements

Professor He has an impressive portfolio of over 90 publications in top-tier international journals and conferences, including: IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Neural Networks and Learning Systems, NeurIPS
His publications include 23 CCF A-tier papers and 4 highly cited/hot papers, achieving a highest single-paper impact factor of 10.4 and 864 total citations in SCI-indexed journals.

 

🔍Ongoing Research

Professor He is actively involved in several funded projects: Joint Key Project of the National Natural Foundation of China (2022) – 890,000 yuan Key R&D Projects of the Ministry of Science and Technology (2021) – 800,000 and 540,000 yuan respectively, Youth Project of the National Natural Science Foundation of China (2022) – 300,000 yuan ,Liaoning Provincial Joint Fund (2023) – 80,000 yuan

 

🔬 Research Interests

His research focuses on:🌐 Machine Learning and Social Network Analytics 🏥 Healthcare Informatics and Infectious Disease Informatics 📈 Advanced Data Mining Techniques

 

🎓Academic Background

Qiang He earned his Ph.D. in Computer Application Technology from Northeastern University in 2020. During his academic journey, he was also a visiting Ph.D. researcher at the prestigious Nanyang Technological University, Singapore (2018–2019), where he gained significant exposure to international research standards.

 

🏆Scholarships and Awards

Professor He has secured numerous awards and funding opportunities, such as the Top-Level Postdoctoral Fund (2021) and the Liaoning Provincial Doctoral Initiation Project (2021). His cumulative research funding demonstrates his ability to lead significant research endeavors.

 

🧬Bioinformatics 

Leveraging machine learning, Professor He applies bioinformatics to analyze healthcare datasets, providing valuable insights into infectious diseases and improving predictive models for patient care.

 

🌐Professional Associations 

A distinguished member of several professional organizations: Editorial board member of PLOS ONE and Machine Learning Research, Vice-Chairman of CCF Yocsef Shenyang ,Executive member of CCF Internet Specialised Committee

 

 📚Training & Workshops 

Professor He has both organized and participated in numerous international workshops and conferences, sharing his insights on AI-driven healthcare solutions and data-centric methodologies.

 

🎤Oral Presentations and🗣️Thought Leadership 

His presentations, spanning across topics like healthcare data analytics and network systems, have been well-received at major conferences, reflecting his ability to effectively communicate complex ideas.

 

🧑‍🔬Tasks Completed as a Researcher 

Professor He has excelled in: ,Leading multidisciplinary research teams, Securing large-scale funding for research projects ,Publishing high-impact studies in collaboration with global experts

 

🚀Success Factors 

Key factors contributing to his success: Interdisciplinary Approach: Bridging technology with healthcare. Global Exposure: Research experience in Singapore and collaborations with international scholars. Commitment to Excellence: Maintaining high standards in all professional endeavors.

 

🧪Publications & Laboratory Experience

Publications: His research contributions include groundbreaking studies indexed in SCI and Scopus, with a focus on both theory and application.
Laboratory Work: Professor He leads innovative experiments in data-driven healthcare solutions, combining AI technologies with practical implementations.

 

🔍 Conclusion

 Professor Qiang He’s contributions to machine learning, healthcare informatics, and social network analytics exemplify his role as a pioneering researcher. With his vast publication record, leadership in prestigious projects, and dedication to interdisciplinary studies, he stands as a model of excellence in academia. Recognition through the Best Researcher Award would be a fitting acknowledgment of his outstanding achievements.

📚Publications

  • Service recommendation in JointCloud environments: An efficient regret theory-based Qos-aware approach

               Authors: Shi, J., Rao, R., Song, Y., … Huang, M., Das, S.K.

                Journal:  Computer Networks, 

    • Hybrid Genetic Algorithm and CMA-ES Optimization for RNN-Based Chemical Compound Classification

        Authors: Guo, Z., Hou, D., He, Q.

        Journal:  Mathematics, 

    • Knowledge-Defined Edge Computing Networks Assisted Long-Term Optimization of Computation Offloading and Resource Allocation Strategy

        Authors: Yang, K., Wang, X., He, Q., … Liu, Y., Tarchi, D.

        Journal:  IEEE Transactions on Wireless Communications, 

    • Single-Domain Generalized Predictor for Neural Architecture Search System

        Authors: Ma, L., Kang, H., Yu, G., Li, Q., He, Q.

        Journal:  IEEE Transactions on Computers, 

    • Multi-Feature Rumor Suppression Mechanism Based on Community Division in Social Networks

        Authors: Gao, F., Wang, X., He, Q.

        Journal:  IEEE Transactions on Network Science and Engineering, 

     

Tao Li | Civil Engineering | Best Researcher Award

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Dr. Tao Li – Civil Engineering – Best Researcher Award

Nanjing Tech University | China

      Profiles

Scopus

 

📍Current Position

Tao Li is actively serving as a Teaching Assistant at the College of Civil Engineering, Nanjing Tech University. His responsibilities involve assisting Assistant Professor Zhi Li in teaching “Structural Design of Steel Buildings” from September 2017 to January 2018. This role has allowed him to merge academic theories with real-world engineering challenges, providing students with valuable insights into the subject.

 

📝Publication Achievements 

Tao Li has contributed to both conference publications and journal articles. His key papers include:

Screwed Connections in Light-gauge Steel Frame Shear Walls Sheathed with Ply-Bamboo Panels presented at the 9th International Conference on Steel and Aluminium Structures ICSAS19 (Indexed by SCI).

Behavior of Screwed Connections in Stainless Steel Frame Shear Walls sheathed with ply-bamboo panels, published in Modern Engineered Bamboo Structures (2020).
In journal publications, Tao has co-authored papers such as Research on an Unsymmetrical Prefabricated Hybrid Steel-Glubam Roof Truss published in Engineering Structures and Connections in Cold-formed Steel Frame Shear Walls Sheathed with Engineered Bamboo Panels in Journal of Constructional Steel Research.

 

🔍Ongoing Research

Tao Li’s ongoing research focuses on innovations in structural engineering, with a specific interest in bamboo and steel construction. His work is central to the development of sustainable and eco-friendly materials, aiming to enhance the structural integrity of buildings while reducing environmental impact.

 

🔬 Research Interests

Tao Li’s research interests are broad and interdisciplinary, encompassing:

Structural design of bamboo and steel hybrid constructions

Light-gauge steel frame shear walls

Sustainable construction materials

Advanced structural analysis techniques

 

🎓Academic Background

Tao Li holds a M.Sc. in Structural Engineering from Nanjing Tech University (2017-2020), where he earned an exam-free postgraduate admission due to his academic excellence. Prior to this, he received a B.Sc. in Civil Engineering (2013-2017) from the same university, ranking in the top 3% among his peers. Tao also pursued a B.Sc. in Engineering Cost Management, graduating with a strong academic record.

 

🏆Scholarships and Awards 

National Endeavor Scholarship

First-Class Scholarship (seven times)

Principal Special Scholarship

Outstanding Contribution Award at the 2019 International Bamboo Construction Competition

 

🧬Bioinformatics 

In the realm of bioinformatics, Tao Li has explored the integration of engineering principles with data science. His structural analysis techniques have applications in bioinformatics, particularly in analyzing the physical structures of materials at a molecular level, making contributions to sustainable construction.

 

🌐Professional Associations 

Tao Li is an active member of various professional associations, contributing to the scientific community through his participation in conferences such as the 9th International Conference on Steel and Aluminium Structures and his role on the editorial board of “Engineered and Industrialized Bamboo Structures.”

 

 📚Training & Workshops 

Tao Li has participated in several workshops and training sessions, further honing his expertise in bamboo construction and structural innovation. His involvement in organizing competitions like the International Bamboo Construction Competition highlights his leadership and commitment to promoting knowledge sharing.

Oral Presentation

Tao Li has delivered several oral presentations at international conferences, notably presenting his research on screwed connections in steel and bamboo structures at prestigious events like the ICSAS19.

 

🎤Oral Presentations and🗣️Thought Leadership 

He also excels in scientific communication, delivering impactful oral presentations on his research findings.

 

🧑‍🔬Tasks Completed as a Researcher 

Tao Li has been involved in multiple national research projects, including a project on Fracture Behavior of Structural Glued Bamboo, for which he served as a Working Group Member. His work focuses on material behavior under stress and offers practical applications for future construction technologies.

 

🚀Success Factors 

Tao Li’s success as a researcher and educator stems from his ability to blend theoretical knowledge with practical applications. His persistence, attention to detail, and collaborative spirit are key factors that have contributed to his accomplishments in the field.

 

🧪Publications & Laboratory Experience

In addition to his publications, Tao Li holds several patents related to steel-bamboo hybrid constructions. His hands-on experience in the lab, coupled with his innovations in structural materials, has made a significant impact on the industry.

 

🔍 Conclusion

Tao Li, M.Sc., is a promising figure in the world of structural engineering. His research, publications, and patents have contributed to the advancement of sustainable construction technologies, particularly through the innovative use of bamboo and steel. Tao’s dedication to education and research positions him as a leader in civil engineering, poised to influence the future of the built environment.

📚Publications

Connections in stainless steel frame shear walls sheathed with ply-bamboo panels

               Authors: Wu, Q., Li, T., Yue, Z., … Wang, Z., Wang, L.

               Journal : Journal of Constructional Steel Research

Evaluation of mechanical and microscopic properties of magnesium phosphate cement-based concrete with different fly ash additions

           Authors: Yao, Y., Zhang, J., Yao, Z., … Lu, T., Liu, X.

          Journal : Journal of Building Engineering, 

Influence of wood species and natural aging on the mechanics properties and microstructure of wood

            Authors: Zhang, J., Li, T., Lu, W., … Chen, X., Song, F.

             Journal :Journal of Building Engineering, 

Optimization of mix proportion and strength prediction of magnesium phosphate cement-based composites based on machine learning

              Authors: Zhang, J., Li, T., Yao, Y., … Du, H., Yang, J.

              Journal :  Construction and Building Materials, 

Effect of Steel Fiber on Mechanical Properties and Microstructure of Magnesium Phosphate Cement-Based Concrete Exposed to Water and Sulfate Attack

             Authors: Zhang, J., Yang, H., Hu, X., … Hong, W., Gong, S.

               Journal : Journal of Materials in Civil Engineering,

 

 

Josep M. Rossell | Engineering | Lifetime achievement Award

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Prof Dr. Josep M. Rossell – Engineering  – Lifetime achievement Award

Universitat Politècnica de Catalunya (UPC) | Spain

      Profiles

Orcid

📍Current Position

Josep M. Rossell is a highly esteemed Full Professor at the Universitat Politècnica de Catalunya (UPC), specifically within the Department of Mathematics. Since receiving his PhD in Applied Mathematics in 1998, he has established himself as a central figure in the world of mathematical research and applied control systems. His academic tenure at UPC spans decades, where he has mentored countless students, led numerous research projects, and contributed significantly to both the institution and the field of applied mathematics. Rossell is also an integral part of the CoDAlab group, an interdisciplinary research hub that connects applied mathematics, systems control theory, and engineering, which showcases his collaborative and interdisciplinary approach to research.

 

📝Publication Achievements 

Rossell has published more than 200 papers in reputable journals and international conference proceedings. These publications reflect his in-depth exploration into complex mathematical problems related to control systems and large-scale optimizations. Some of his notable works have been featured in Mathematical Problems in Engineering and the Journal of the Franklin Institute, where he serves as an Associate Editor. His role as Guest Editor for several other leading journals has allowed him to shape the discourse in applied mathematics and control systems, ensuring that pioneering research continues to be published.

 

🔍Ongoing Research

Prof. Rossell’s ongoing research focuses on key areas such as the robust control of decentralized systems, parallel robots, and large-scale systems. His research aims to tackle challenges in systems engineering by designing control systems that are resilient to uncertainties, making them more robust and adaptable to dynamic environments. These systems have direct implications for industries that require precise control mechanisms, such as robotics and automation.

 

🔬 Research Interests

Large-scale Systems: He delves into the mathematical modeling and control of complex systems that consist of numerous interacting components.

Decentralized Control: His work on decentralized systems examines how individual controllers can operate independently while ensuring the overall system remains stable and efficient.

Robust Control: Rossell is particularly focused on systems that are resilient to uncertainties and disturbances, ensuring reliable performance even under challenging conditions.

Parallel Robots: These robotic systems, often used in industrial automation, benefit from Rossell’s work on dynamics, optimization, and control strategies.

 

🎓Academic Background

Josep M. Rossell received his PhD in Applied Mathematics in 1998 from the Universitat Politècnica de Catalunya (UPC), located in Barcelona, Spain. His academic journey through mathematics laid a solid foundation for a career focused on cutting-edge research in control systems and large-scale system optimization. As a Full Professor in the Department of Mathematics at UPC, he has been a prominent figure in the field, contributing extensively to applied mathematics, especially in decentralized control and robust systems.

 

🏆Scholarships and Awards 

Throughout his career, Prof. Rossell has been recognized for his contributions to applied mathematics and control theory. His accolades include invitations to serve as Guest Editor for high-profile journals like Mathematical Problems in Engineering and Journal of Abstract and Applied Analysis. These roles highlight his reputation as a leader in his field. Additionally, his involvement in international symposia and conferences further underscores the global recognition of his work.

 

🧬Bioinformatics 

Rossell’s primary research does not explicitly focus on bioinformatics, his work in decentralized control and system optimization often intersects with data-driven fields. His mathematical models and control strategies can be adapted to various domains, including computational biology and healthcare technology, demonstrating the wide-ranging impact of his expertise.

 

🌐Professional Associations 

Prof. Rossell is deeply involved in the academic community through various roles in professional associations and committees. He has served as a Member of the Advisory Committee for the 2013 International Symposium on Control Applications and Automation Systems (ISCAAS) in Norway, and as a Member of the Conference Operations Committee for the Sixth World Conference on Structural Control and Monitoring (6WCSCM) held in Barcelona in 2014. His commitment to these events illustrates his dedication to advancing knowledge and fostering collaboration within the international scientific community.

 

 📚Training & Workshops 

He has also participated in workshops aimed at training professionals and researchers in the field of control systems. His engaging presentation style, combined with his vast knowledge, makes him a sought-after speaker in the field of applied mathematics and control theory.

 

🎤Oral Presentations and🗣️Thought Leadership 

Rossell has been a keynote speaker at numerous international conferences, where he has presented on topics ranging from robust control systems to parallel robotics. His presentations are recognized for their depth, innovation, and their ability to connect theoretical concepts with practical applications.

 

🧑‍🔬Tasks Completed as a Researcher 

As a researcher, Rossell has completed extensive work in large-scale system modeling, control theory, and decentralized system optimization. His research is not only theoretical but also practical, with applications in robotics, energy systems, and industrial automation. The work he has done has been incorporated into projects that improve parallel robot control systems, contributing to advancements in automation and robotics.

 

🚀Success Factors 

Rossell’s success as a researcher and educator stems from his ability to translate complex mathematical theories into practical solutions. His leadership in the CoDAlab group, combined with his robust publication record, reflects his ongoing commitment to pushing the boundaries of control systems and applied mathematics. His work has had a significant impact on the fields of decentralized control and robust system optimization, and he continues to drive research that addresses pressing challenges in these areas.

 

🧪Publications & Laboratory Experience

Rossell’s publication record is complemented by his extensive laboratory experience, particularly in designing and testing control systems and parallel robotics. His hands-on approach ensures that his theoretical work is grounded in practical experimentation and real-world applications.

 

🔍 Conclusion

Prof. Josep M. Rossell’s contributions to applied mathematics and control theory are vast and impactful. As a Full Professor at UPC and an active member of the CoDAlab group, he has fostered an interdisciplinary approach that bridges mathematics and engineering. His extensive publication record, coupled with his involvement in international conferences and editorial boards, highlights his role as a key thought leader in his field. Going forward, Rossell’s work will continue to shape the future of control systems and applied mathematics, contributing to both academic advancements and real-world solutions.

📚Publications

Magnetic Levitation: An Academic Prototype

      Authors: Josep M. Rossell; Víctor Barcons

      Journal: Applied Sciences 

Architecting an Open-Source IIoT Framework for Real-Time Control and Monitoring in the Bioleaching Industry

      Authors:Marta I. Tarrés-Puertas; Lluís Brosa; Albert Comerma; Josep M. Rossell; Antonio D. Dorado

      Journal: Applied Sciences 

Child–Robot Interactions Using Educational Robots: An Ethical and Inclusive Perspective

      Authors:Marta I. Tarrés-Puertas; Vicent Costa; Montserrat Pedreira Alvarez; Gabriel Lemkow-Tovias; Josep M. Rossell; Antonio D. Dorado

      Journal: Sensors

Sparking the Interest of Girls in Computer Science via Chemical Experimentation and Robotics: The Qui-Bot H2O Case Study

        Authors:Marta I. Tarrés-Puertas; Jose Merino; Jordi Vives-Pons; Josep M. Rossell; Montserrat Pedreira Álvarez; Gabriel Lemkow-Tovias; Antonio D. Dorado

       Journal: Sensors

Analysis of Occupational Accidents in the Spanish Mining Sector in the Period 2009–2018

      Authors:Lluís Sanmiquel; Marc Bascompta; Josep M. Rossell; Hernan Anticoi

      Journal: International Journal of Environmental Research and Public Health 

         

Jiayi Luo | Geotechnics | Best Researcher Award

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Mr. Jiayi Luo – Geotechnics- Best Researcher Award

University of Illinois Urbana-Champaign | United States

Profiles 

Scopus

📍Current Position

He currently serves as a Software Engineer at A&C Technology, Inc. since May 2023. In this role, Jiayi has demonstrated exceptional skills in architecting hybrid consensus systems and implementing scalable AI solutions. The work primarily involves integrating slot-based Proof of Credit generation and Byzantine Fault Tolerance (BFT) finalization algorithms. This integration is fortified with homomorphic encryption for privacy and enabled by a Trustful Execution Environment for real-time transactions. Additionally, Jiayi has led the implementation of a multi-faceted AI for enhanced biometric feature extraction, streamlining operations with a token-based framework for registration, login, and recovery.

📝Publication Achievements 

He has made significant contributions to the field through numerous publications. Some notable works include: Luo, J., Huang, H., Ding, K., Qamhia, I. I., Tutumluer, E., Hart, J. M., … & Sussmann, T. R. (2023). “Toward Automated Field Ballast Condition Evaluation: Algorithm Development Using a Vision Transformer Framework.” Transportation Research Record. Luo, J., Ding, K., Huang, H., Hart, J. M., Qamhia, I. I., Tutumluer, E., … & Sussmann, T. R. (2023). “Toward Automated Field Ballast Condition Evaluation: Development of a Ballast Scanning Vehicle.” Transportation Research Record. Luo, J., Ding, K., Huang, H., Hart, J. M., Qamhia, I. I., Tutumluer, E., … & Sussmann, T. R. (2023). “A Deep Learning Approach for Automated Railroad Ballast Condition Evaluation.” Manuscript submitted for publication.

 

🔍Ongoing Research 

His ongoing research includes the development of advanced computer vision-based techniques for evaluating ballast conditions and degradation. This involves creating image segmentation frameworks using Mask R-CNN and Swin Transformer backbones and enhancing these frameworks through contrastive learning with unlabeled field ballast images. Another notable project is the design of a synthetic ballast data generator using Unreal Engine, aimed at enriching the ballast database with ground-truth labels and various environmental conditions.

🔬Research Interests 

His research interests are diverse and include: Transportation systems and infrastructure. Civil engineering with a focus on ballast condition and degradation evaluation. Advanced computer vision techniques. Deep learning and AI applications in civil engineering. Development of numerical analysis engines for flexible pavement evaluation.

🎓Academic Background 

He has an impressive academic record, having achieved high GPAs in multiple programs at the University of Illinois at Urbana-Champaign: Ph.D. in Transportation (3.92/4.00), 2018–2023. Master of Computer Science (4.00/4.00), 2016–2018. Master of Science in Transportation (4.00/4.00), 2016–2018. Additionally, Jiayi holds a Bachelor of Engineering in Civil Engineering with a Minor in Economic Management from Tsinghua University, Beijing, China (GPA: 88/100).

🏆Scholarships and Awards 

His academic excellence is reflected in numerous scholarships and awards: Outstanding Student Medal Award, Civil & Environmental Engineering Department, UIUC, 2022. Geological and Geoenvironmental Engineering Section Best Paper Award, TRB, 2019. Scholarships of academic excellence, 1st and 2nd prizes in 2014 and 2015 respectively. 1st prize in the Chinese National Mathematics Competition, 2013. 2nd prize in the Chinese National Physics Competition, 2013.

🌐Professional Associations 

He is an active member of several professional associations, contributing to the advancement of civil engineering and transportation research through continuous engagement and collaboration.

 📚Training & Workshops 

He has participated in numerous training sessions and workshops, staying updated with the latest technologies and methodologies in civil engineering and computer science.

🎤Oral Presentations 

He  has presented research findings at various esteemed conferences, including the Transportation Research Board (TRB) and the International Conference on Soil Mechanics and Geotechnical Engineering. These presentations have highlighted innovative techniques and tools developed for transportation infrastructure evaluation.

🧑‍🔬Tasks Completed as a Researcher 

As a researcher, he has completed various significant tasks, including: Developing and implementing image segmentation frameworks. Designing synthetic data generators. Building finite element analysis engines for pavement evaluation. Creating generative models for 2D particle shape completion. Conducting experimental investigations on concrete behavior at ultra-low temperatures.

🚀Success Factors 

His success can be attributed to a combination of deep technical knowledge, innovative thinking, and a strong academic foundation. Their ability to integrate advanced technologies like AI and deep learning into practical engineering solutions has been a key factor in their professional achievements.

🧪Publications & Laboratory Experience

His extensive publication record and laboratory experience showcase their expertise and contributions to civil engineering and transportation research. The ability to translate complex research into practical applications has significantly advanced the field and set a high standard for future research.

📚Publications:

Wang Peng | Engineering | Best Researcher Award

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Assist Prof Dr. Wang Peng – Engineering – Best Researcher Award

Huazhong Agricultural University | China

 Profiles 

  Scopus

📍Current Position

He is an Associate Professor at the School of Engineering, Huazhong Agricultural University. In addition, he serves as a Postdoc at the State Key Laboratory of Digital Manufacturing Equipment and Technology. His office is located in Room G307, New Engineering Building at the university.

📝Publication Achievements 

He has an impressive record of publications, contributing extensively to scientific literature. His work includes numerous articles in high-impact journals such as “Food Chemistry,” “Advanced Materials Technologies,” and “Biomaterials Research.” Polyethyleneimine-modified photonic crystal microfluidic Chip for highly sensitive detection of microbial spores. Food Chemistry, 2024. Advances in Multifunctional Sensors Based on Triboelectric Nanogenerator–Applications, Triboelectric Materials, and Manufacturing Integration. Advanced Materials Technologies, 2024.Open source board based acoustofluidic transwells for reversible disruption of the blood–brain barrier for therapeutic delivery. Biomaterials Research, 2023.

🔍Ongoing Research 

His ongoing research projects highlight his focus on innovative technologies and practical applications. Self-powered sensing mechanism and device preparation based on Triboelectric Nanogenerator (2020/05-2023/04) with a budget of RMB 250,000.Multi-modal sensing mechanism and property modulation of flexible photonic crystal for robotic tactile sensing (2019/01-2021/12), funded with RMB 250,000.Self-powered Flexible and Stretchable Photonic Crystal Sensor for Robot Perception, a project supported by the Hubei Province Postdoc Project.

🔬Research Interests 

His research interests are diverse and interdisciplinary, focusing on : Micro/Nano Manufacturing Technologies, Flexible Photonics, Wearable Sensing Devices, Robotic Tactile Sensing, Biosensors, Triboelectric Nanogenerators, Flow Cytometers.

🎓Academic Background 

His academic journey is marked by prestigious institutions and diverse fields of study: Joint PhD at the School of Computer Science and Engineering, University of Illinois at Urbana and Champaign (UIUC), USA (2014.02 – 2016.05) PhD in Mechatronic Engineering from the School of Mechanical Science and Engineering, HUST Wuhan, China (2010.09 – 2017.04).  BA in English from the School of Foreign Languages, HUST Wuhan, China (2008.09 – 2010.06). BE in Mechanical Engineering and Automation from the School of Mechanical and Electronic Engineering, WUT Wuhan, China (2006.09 – 2010.07)

🏆Scholarships and Awards 

He has received numerous scholarships and awards throughout his career, including: innovative Talent International Cooperation Training Project (2020) by the China Scholarship Council. Joint PhD Training Program (China & USA) (2014.02 – 2016.05). Second Prize in Hubei University Student Entrepreneurship Competition (2013.09), awarded 150,000 RMB.

🌐Professional Associations 

He is a Senior Member of the Chinese Society of Micro and Nano Technology, reflecting his active engagement with the professional community. His involvement in bioinformatics is demonstrated through his research on biosensors and data analysis, contributing to the advancement of biological and medical research.

 📚Training & Workshops 

Throughout his career, He has participated in numerous training programs and workshops, enhancing his expertise and staying updated with the latest advancements in his field. His training includes participation in international research collaborations and advanced technology workshops.

🎤Oral Presentations 

He has delivered several oral presentations at international conferences, showcasing his research findings and contributing to the global scientific community. His presentations are known for their depth, clarity, and innovative insights.

🧑‍🔬Tasks Completed as a Researcher 

As a researcher, he has successfully completed various tasks, including: Design and fabrication of advanced sensing devices based on micro/nano photonics. Development of Triboelectric Nanogenerator-based devices. Implementation of MEMS technology for sensor fabrication.

🚀Success Factors 

He attributes his success to a combination of rigorous academic training, continuous learning, and a collaborative approach to research. His dedication to innovation and practical applications has earned him recognition and respect in the scientific community.

🧪Publications & Laboratory Experience

His extensive laboratory experience is highlighted by his hands-on work in designing and manufacturing photonic sensors, MEMS devices, and Triboelectric Nanogenerators. His publication record reflects his significant contributions to advancing these technologies, with numerous articles in high-impact journals.

📚Publications: