Ziyang Cao | Machine Learning and AI Applications | Best Researcher Award

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Mr. Ziyang Cao | Machine Learning and AI Applications | Best Researcher Award

Fuyang Normal University | China

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๐Ÿ‘ค Summary

Ziyang Cao is a passionate and dedicated graduate student currently pursuing a Master of Engineering in Computer Technology at Fuyang Normal University. With a keen interest in artificial intelligence, he focuses on Few-Shot Learning to develop models that perform effectively with limited data.

๐ŸŽ“ Education

Ziyang is enrolled in the Master of Engineering in Computer Technology program at Fuyang Normal University (West Lake Campus), where he is building a strong foundation in both theoretical and applied computer science.

๐Ÿ’ผ Professional Experience

Currently focused on academic research, Ziyang has been involved in collaborative university projects and continues to seek opportunities to apply his knowledge in real-world settings. (Further experience can be added as it becomes available.)

๐Ÿ“š Academic Citations

Ziyang is actively engaged in preparing research papers related to Few-Shot Learning and aims to contribute to peer-reviewed publications in the near future.

๐Ÿง  Technical Skills

His technical toolbox includes proficiency in Python and Java, with hands-on experience in machine learning frameworks such as TensorFlow and PyTorch. He is also adept at using Git for version control and Jupyter Notebook and LaTeX for documentation and presentation.

๐Ÿ‘จโ€๐Ÿซ Teaching Experience

Ziyang has contributed to undergraduate computer science education by assisting in lab sessions and offering support in programming courses, enhancing both his teaching and communication skills.

๐Ÿ”ฌ Research Interests

His primary research interests lie in Few-Shot Learning, Deep Learning, Neural Network Optimization, and Computer Vision. He is particularly motivated by the challenge of enabling AI systems to learn efficiently from minimal data.

๐Ÿ“š Selected Publication

ProFusion: Multimodal Prototypical Networks for Few-Shot Learning with Feature Fusion

  • Authors: Jia Zhao, Ziyang Cao, Huiling Wang, Xu Wang, Yingzhou Chen

  • Journal: Symmetry

  • Year: 2025

Pawan Kumar | Social Impact | Best Researcher Award

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Prof. Dr. Pawan Kumar | Social Impact | Best Researcher Award

ย Southern University of Science and Technology | China

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๐Ÿ‘คย Summary

Self-motivated academician committed to fostering academic and personal excellence by creating a challenging and engaging learning environment. Dedicated to nurturing lifelong scholars and researchers with a strong emphasis on interdisciplinary business management and digital transformation.

๐Ÿ‘จโ€๐ŸŽ“ Education & Qualifications

Dr. Pawan Kumar holds a Ph.D. in Business Management from Punjabi University Patiala (2013), an MBA-Honors in Marketing with Distinction, and a B.Com with First Division. He also completed his Higher Secondary in Commerce with Distinction and earned a Diploma in Computer Management.

๐Ÿ’ผ Professional Experience & Roles

As a Professor and Research Coordinator at Mittal School of Business, Lovely Professional University (ACBSP), Dr. Kumar actively leads research initiatives, accreditation advisory, and supervises doctoral and M.Phil scholars. He serves as an editor and guest editor for several SCOPUS-indexed journals and has guided more than 11 Ph.D. and 2 M.Phil candidates.

๐Ÿง  Research & Innovation

His research spans digital transformation, consumer behavior models, neuro-marketing, and social media influence on customer engagement. Dr. Kumar holds 2 patents and 8 copyrights in innovative business and marketing systems, focusing on emerging technologies and sustainable business practices.

๐Ÿ–ฅ๏ธ Technical Skills & Certifications

Proficient in SPSS and R programming, Dr. Kumar has completed over 28 certified MOOCs in topics such as digital marketing, research methods, marketing analytics, and neuroscienceโ€”equipping him to integrate technology with business research effectively.

๐Ÿ‘ฉโ€๐Ÿซ Teaching & Academic Contributions

With extensive teaching experience at undergraduate, postgraduate, and doctoral levels, he specializes in marketing, business management, research methodology, and data analytics. Dr. Kumar is also a trainer for students and faculty, fostering strong academic networks and lifelong learning.

๐Ÿ“š Academic Memberships & Editorial Work

He is a lifetime executive member of the Punjab Commerce and Management Association and serves on the editorial boards of international journals published by Inderscience. Dr. Kumar actively contributes as an advisor and examiner across multiple universities.

๐Ÿ“š Selected Publication

  • The green entrepreneurship landscape: drivers, outcomes, and future directions

    • Authors: Harmanpreet Singh, Pawan Kumar, Leo Paul Dana

    • Journal: International Entrepreneurship and Management Journal

    • Year: 2025

  • Data-Driven Hyper-Personalization and Innovations in Services of the B2B Hospitality industry

    • Authors: Sumesh Singh Dadwal, Pawan Kumar, Vipin Nadda, Gordon Bowen

    • Book Chapter (Not a journal)

    • Year: 2025

  • Factors influencing E-pharmacy adoption in India: A study of user experiences through interpretative phenomenological analysis

    • Authors: Kushal Pal Singh, Pawan Kumar

    • Journal: Exploratory Research in Clinical and Social Pharmacy

    • Year: 2025

  • Sustainable tourism progress: a 10-year bibliometric analysis

    • Authors: Pawan Kumar, Bindu Aggarwal, Vinod Kumar, Harish Saini

    • Journal: Cogent Social Sciences

    • Year: 2024

  • Beyond travel! Whatโ€™s TRENDing in sustainable tourism? An investigation through the lens of travel influencersโ€™

    • Authors: Dr. Harish Saini, Pawan Kumar, Prateek Kalia

    • Journal: Tourism and Hospitality Research

    • Year: 2024

Yukun Wang | Bioinformatics | Best Researcher Award

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Dr. Yukun Wang | Bioinformatics | Best Researcher Award

Dr. Yukun Wang | Bioinformatics โ€“ Southern University of Science and Technology | China

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๐Ÿ“š Education & Experience

Professor Yukun Wang, born in June 1965 in Qiqihar, Heilongjiang, holds a Ph.D. in Epidemiology and Health Statistics from the Fourth Military Medical University, where he also earned his bachelor’s and masterโ€™s degrees. With over 35 years of experience in military medical education, clinical pharmacy, and healthcare management, he currently serves as Vice President of the Affiliated Hospital and Professor at the School of Medicine, Southern University of Science and Technology (SUSTech). Previously, he held key leadership roles including Dean of the School of Pharmacy and Director of Discipline Construction at the Fourth Military Medical University. His international experience spans Belgium, Hong Kong, the U.S., and the U.K., allowing him to incorporate global medical education practices into Chinese healthcare. He holds the military rank of Senior Colonel (ๅคงๆ ก).

โœ… Suitability Summary

Professor Wangโ€™s diverse background in clinical medicine, pharmacy education, and international collaboration positions him as a leading expert in medical education reform and pharmaceutical research. His expertise bridges statistical modeling, clinical trial design, hospital administration, and education policy. He excels in integrating precision medicine, drug safety, and big data analytics into modern teaching and healthcare systems, making him highly suited for strategic leadership roles.

๐Ÿ“ˆ Professional Development

Professor Wang plays an active role in numerous national academic committees. He is a Standing Member of the National Pharmacy Education Committee, Chair of the Clinical Pharmacy Committee (China Association for Maternal and Child Health), and Chair of the Shenzhen Pharmacology Society. He serves as Vice Chair on the Textbook Expert Committee for pharmacy and is part of the National Pharmacy Accreditation Group. Additionally, he has contributed to national education planning, pharmaceutical policy, and traditional Chinese medicine (TCM) innovation.

๐Ÿ”ฌ Research Focus

Professor Wangโ€™s research spans health statistics, clinical pharmacy, and translational medicine. He developed the CISS (Comprehensive Injury Severity Score) system tailored for Chinese trauma patients and has applied Delphi methods, ROC curves, and logistic regression in medical evaluations. His research on mRNA methylation, tumor resistance, and drug delivery systems using nanoparticles has contributed to new directions in cancer therapy. In clinical trials, he focuses on sample size optimization, data imputation, and sequential design methods. His studies on pharmaceutical economics, drug accessibility, and price-quality regulation in TCM support national policy innovations. He also explores precision pharmacy, rational drug use, maternal-infant drug safety, and drug shortages.

๐Ÿ† Honors & Awards

Professor Wang has received a Third-Class Military Merit, and multiple honors for excellence in teaching, scientific research, and graduate education. His accolades include the First Prize in Higher Education Research (China Higher Education Society, 2013) and Second Prizes in Shaanxi Provincial Teaching Achievements (2012, 2014). At the institutional level, he has been named Outstanding Party Member, Advanced Educator, and contributor to the โ€œ211 Projectโ€. His recognized work in discipline development, education reform, and pharmaceutical regulation reflects his deep impact on both academic and healthcare sectors.

๐Ÿ“š Selected Publication

Identification of m6A-modified gene signatures in lung adenocarcinoma tumorigenesis and their potential role in drug resistance

  • Authors: Han Xiaomin, Ma Qiang, Chang Ruyi, Wang Ruilong, Wang Yukun

  • Journal: Discover Oncology

  • Year: 2025

2. Long non-coding RNA Igf2as controls hepatocellular carcinoma progression through the ERK/MAPK signaling pathway

  • Authors: Bao Han, Guo Chun-Guang, Qiu Peng-Cheng, Zhang Xin-Lei, Dong Qi, Wang Yu-Kun*

  • Journal: Oncology Letters

  • Year: 2017

3. Combined experimental and theoretical insight into the drug delivery of nanoporous metal-organic frameworks

  • Authors: Jiaping Wang, Juncheng Jin, Fumei Li, Baohong Li*, Jianqiang Liu, Jie Jin, Chunfeng Wang, Zengyong Qing*, Yukun Wang*

  • Journal: RSC Advances

  • Year: Not explicitly given, but likely 2024 or 2025 based on context (please confirm if needed)

4. Synthesis of a Novel Nitronyl Nitroxide Radical and Determination of its Protective Effects Against Infrasound-Induced Injury

  • Authors: Wang H. B., Wang J., Yang Q., Zhang X. W., Gao P., Xu S. L., Sun X. L., Wang Y. K.

  • Journal: Neurochemical Research

  • Year: 2015

5. Selective in vivo and in vitro activities of 3,3′-4-nitrobenzylidene-bis-4-hydroxycoumarin against methicillin-resistant Staphylococcus aureus by inhibition of DNA polymerase III

  • Authors: Hou Z., Zhou Y., Li J., Zhang X., Shi X., Xue X., Li Z., Ma B., Wang Y., Li M., Luo X.

  • Journal: Scientific Reports

  • Year: 2015

Tie-Zhen Ren | Data Science | Best Researcher Award

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Prof. Dr. Tie-Zhen Ren | Data Science | Best Researcher Award

Prof. Dr. Tie-Zhen Ren | Data Science โ€“ Xinjiang university | China

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๐Ÿ‘ค Summary

Prof. Dr. Tie-Zhen REN is a highly experienced scholar in the field of inorganic materials chemistry and functional nanostructures. With over 20 years of academic and research experience, he has contributed extensively to the development of hierarchical porous materials, photocatalysis, and sustainable material technologies. He is currently a Professor at the School of Chemical Engineering, Xinjiang University, and has a broad international background, having worked and conducted research in Belgium, Sweden, the U.S., and multiple institutions across China.

๐ŸŽ“ Education

Dr. REN received his Ph.D. in Inorganic Materials Chemistry from the University of Namur (FUNDP), Belgium (2001โ€“2005), where his research focused on the synthesis and properties of hierarchically nanoporous materials under the supervision of Prof. Bao-Lian Su. He also holds a Masterโ€™s degree in Plant Protection from Anhui Agricultural University (1999โ€“2002), and a Bachelorโ€™s degree in Polymer Engineering from Tianjin Institute of Technology (1994โ€“1998), reflecting a well-rounded foundation in both chemical engineering and material sciences.

๐Ÿ’ผ Professional Experience

Prof. REN has held several academic and research positions, including his current role as Professor at Xinjiang University since 2021. Prior to that, he served as Professor at Hebei University of Technology from 2007 to 2021. His international experience includes a postdoctoral fellowship at Stockholm University, Sweden, and a visiting researcher position at the City College of New York. He also volunteered as a teacher at BayinGol Vocational and Technical College, and held early roles such as research assistant, documentalist, and industrial trainee, contributing to his comprehensive experience across academia and industry.

๐Ÿ“š Academic Achievements & Projects

Dr. REN has led multiple national and regional research projects, including those funded by the National Natural Science Foundation of China, the Ministry of Science and Technology, and the Xinjiang Autonomous Region. Notable projects involve work on porous titanium oxides, framework germanates, and carbon-modified catalysts. He has received several honors such as the Tianjin Natural Science Award (2015), the China National Scholarship for Excellent Self-Financed Students Abroad (2004), and awards for teaching and student mentorship.

๐Ÿงช Technical Skills

He possesses strong technical capabilities in materials characterization and analysis, including TEM (e.g., JEOL JEM-3010), SEM & EDX, XRD, FT-IR, UV-Vis spectroscopy, TGA-DSC, NMR, and electrochemical workstation operation. He is highly proficient in single-crystal and powder X-ray diffraction, nanomaterial synthesis, and ultramicrotome sample preparation, enabling advanced insights into material structure and functionality.

๐Ÿ‘จโ€๐Ÿซ Teaching Experience

Throughout his academic career, Prof. REN has been committed to high-quality education. He has taught courses such as General Chemistry (at the City College of New York), Principles of Chemical Engineering (at Xinjiang University and BayinGol College), Principles of Catalysis, and Specialized Reading in English (at Hebei University of Technology). His teaching integrates experimental skills, scientific theory, and practical problem-solving in the chemical sciences.

๐Ÿ”ฌ Research Interests

His research interests lie in the design, synthesis, and characterization of porous and nanostructured materials, including mesoporous silica, metal oxides, dye-doped silica for optical applications, and crystalline germanium oxides. He is also focused on environmental catalysis, particularly the photodegradation of pesticides, carbon-based energy materials, and biomass transformation for sustainable technologies.

๐Ÿ“š Selected Publication

1. Preparation of Alโ‚‚Oโ‚ƒ Nanoparticles via Fluidized Roasting and Their Application in the Pyrolysis of Spent Mulching Film for Hydrocarbon Production

  • Authors: Zhong-He Song, Imran Muhammad, Tie-Zhen Ren, Ablikemu Abulizi, Kenji Okitsu, Huan-Rong Li, Xue-Jun Zhang

  • Journal: ACS Sustainable Resource Management

  • Year: 2025

2. Sulfite Enhanced Permanganate/Fe(II) Moderate Oxidation Coagulation for the Treatment of Algae-Laden Water: Performance and Mechanisms

  • Authors: Jinlong Han, Li Sun, Mathias Ulbricht, Lukas Fischer, Guangming Zhang, Wenfang Gao, Longyi Lv, Tiezhen Ren, Xiaoyang Liu, Zhijun Ren

  • Journal: Chemical Engineering Journal

  • Year: 2025

3. Surfactant-Enhanced ZnOโ‚“/CaO Catalytic Activity for Ultrasound-Assisted Biodiesel Production from Waste Cooking Oil

  • Authors: Hongyu Fu, Haifeng Bai, Abulikemu Abulizi, Kenji Okitsu, Yasuaki Maeda, Tiezhen Ren, Shengyan Wang

  • Journal: Reaction Chemistry & Engineering

  • Year: 2024

4. Boosting BaTiโ‚„Oโ‚‰ Photocatalytic Hโ‚‚ Evolution Activity by Functionalized CuNi Alloy

  • Authors: Meng-Jie Cui, Shan-Shan Li, Tie-Zhen Ren, Abulikemu Abulizi, Ai-Sha Nulahong

  • Journal: Journal of Photochemistry and Photobiology A: Chemistry

  • Year: 2024

5. Isopropanol Assisted Preparation of ฮฑ-Alโ‚‚Oโ‚ƒ Nanoparticles and Its Surface Charge Investigation

  • Authors: Meng-Jie Cui, Imran Muhammad, Jian Feng, Tie-Zhen Ren

  • Journal: Solid State Sciences

  • Year: 2024

 

Lin Yang | Biosensing and Bioimaging | Best Researcher Award

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Prof. Lin Yang | Biosensing and Bioimaging | Best Researcher Award

Prof. Lin Yang | Biosensing and Bioimaging โ€“ Affiliated Hospital of North Sichuan Medical Collegeย  | China

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๐Ÿ‘จโ€โš•๏ธ Professor Lin Yang โ€” Expert in Radiology & Interventional Oncology

๐Ÿ‘จโ€โš•๏ธ About Professor Lin Yang

Professor LIN YANG is a renowned expert in RADIOLOGY and INTERVENTIONAL ONCOLOGY, bringing over 30 YEARS of academic, clinical, and research experience. Known for his deep expertise in ONCOLOGICAL IMAGING and INTERVENTIONAL TECHNIQUES, he has significantly influenced diagnostic and therapeutic strategies in modern medicine.

๐ŸŽ“ Education & Medical Training

Professor Yang earned his BACHELOR OF SCIENCE in CLINICAL MEDICINE from WEST CHINA MEDICAL UNIVERSITY in 1990. He obtained a MASTERโ€™S DEGREE IN SURGERY from TIANJIN MEDICAL UNIVERSITY in 2001, and a DOCTORATE (M.D.) in IMAGING MEDICINE AND NUCLEAR MEDICINE from SICHUAN UNIVERSITY in 2007. His education forms a solid foundation in both SURGERY and IMAGING SCIENCES.

๐Ÿฅ Career & Professional Leadership

In 2012, he became a PROFESSOR in the DEPARTMENT OF RADIOLOGY AND INTERVENTIONAL MEDICINE CENTER at the AFFILIATED HOSPITAL OF NORTH SICHUAN MEDICAL COLLEGE. Professor Yang has served as REVIEWING EDITOR for FRONTIERS IN CARDIOVASCULAR MEDICINE, EXECUTIVE GUEST EDITOR for ANTI-CANCER AGENTS IN MEDICINAL CHEMISTRY, and PEER REVIEWER for journals such as JVIR, WORLD JOURNAL OF GASTROENTEROLOGY, and CLINICS.

โœ… Professional Memberships & Affiliations

Professor Yang is a MEMBER of the CARDIOVASCULAR AND INTERVENTIONAL RADIOLOGICAL SOCIETY OF EUROPE (CIRSE) and the CHINESE SOCIETY OF INTERVENTIONAL ONCOLOGY. He is also DEPUTY CHAIRMAN of the SICHUAN SOCIETY OF INTERVENTIONAL MEDICINE. These affiliations reflect his leadership in INTERNATIONAL and NATIONAL MEDICAL COMMUNITIES.

๐Ÿ”ฌ Research Focus & Innovations

His research specializes in RADIOMICS, IMAGE ANALYSIS, MAGNETIC RESONANCE IMAGING (MRI), FUNCTIONAL CT, HEPATOCELLULAR CARCINOMA (HCC), ANGIOGENESIS, and TRANSCATHETER ARTERIAL CHEMOEMBOLIZATION (TACE). Professor Yang is a recognized authority on IMAGING BIOMARKERS, TREATMENT RESPONSE METRICS, and OVERALL SURVIVAL (OS), pioneering the integration of imaging with TARGETED THERAPIES.

๐Ÿ“š Publications & Academic Work

Professor Yang has published over 100 JOURNAL ARTICLES and authored or edited 7 ACADEMIC BOOKS. He contributes significantly as a REVIEWER and EDITORIAL BOARD MEMBER, supporting academic rigor and clinical education in RADIOLOGY and ONCOLOGY.

๐Ÿ† Awards & Recognition

He has been awarded numerous HONORS for his INNOVATION and ACADEMIC LEADERSHIP. Professor Yang holds key positions such as DEPUTY CHAIRMAN of a provincial medical association and EDITORIAL BOARD ROLES in internationally respected journals, confirming his status as a LEADING FIGURE in INTERVENTIONAL ONCOLOGY

๐Ÿ“š Selected Publication

1. A CECT-Based Radiomics Nomogram Predicts the Overall Survival of Patients with Hepatocellular Carcinoma After Surgical Resection

  • Authors: Peng Zhang, Yue Shi, Maoting Zhou, Qi Mao, Yunyun Tao, Lin Yang, Xiaoming Zhang

  • Journal: Biomedicines

  • Year: 2025

2. Radiomic analysis based on magnetic resonance imaging for the prediction of VEGF expression in hepatocellular carcinoma patients

  • Authors: Cui Yang, Ze-Ming Zhang, Zhang-Ping Zhao, Zhi-Qing Wang, Jing Zheng, Hua-jing Xiao, Hong Xu, Hui Liu, Lin Yang

  • Journal: Abdominal Radiology

  • Year: 2024

3. Prediction of Colorectal Cancer Liver Metastasis through an MRI Radiomic Model

  • Authors: Yaokun Wu, Ning Liu, Yunyun Tao, Jing Zheng, Xiaohua Huang, Lin Yang, Xiaoming Zhang

  • Journal: Preprint (preprints.org)

  • Year: 2023

4. Differentiation of Hepatocellular Carcinoma from Intrahepatic Cholangiocarcinoma through MRI Radiomics

  • Authors: Ning Liu, Yaokun Wu, Yunyun Tao, Jing Zheng, Xiaohua Huang, Lin Yang, Xiaoming Zhang

  • Journal: Cancers

  • Year: 2023

5. Differentiation of Hepatocellular Carcinoma from Intrahepatic Cholangiocarcinoma through MRI Radiomics (Preprint)

  • Authors: Ning Liu, Yao-Kun Wu, Yun-Yun Tao, Jing Zheng, Xiao-Hua Huang, Lin Yang, Xiao-Ming Zhang

  • Journal: Preprint (preprints.org)

  • Year: 2023

6. DCE-MRI-based radiomics in predicting angiopoietin-2 expression in hepatocellular carcinoma

  • Authors: Jing Zheng, Pei-Zhuo Du, Cui Yang, Yun-Yun Tao, Li Li, Zu-Mao Li, Lin Yang

  • Journal: Abdominal Radiology

  • Year: 2023

Baosheng Du | space propulsion | Best Researcher Award

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Assoc Prof Dr. Baosheng Du | space propulsion | Best Researcher Award

Assoc Prof Dr. Baosheng Du | space propulsion โ€“ Space Engineering University | China

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๐Ÿง‘โ€๐Ÿซ Summary

Assoc. Prof. Dr. Baosheng Du is a distinguished researcher at the Space Engineering University, China. He specializes in the interdisciplinary fields of nanomaterials, photonics, propulsion systems, and energy storage technologies. With a strong academic foundation and innovative research portfolio, Dr. Du has made impactful contributions to both fundamental and applied sciences.

๐ŸŽ“ Education

Dr. Du earned his Ph.D. under the mentorship of Prof. Ye Sun at Harbin Institute of Technology, China. His doctoral research focused on advanced carbon nanomaterials and metal oxides, paving the way for his later explorations into multifunctional materials.

๐Ÿ’ผ Professional Experience

Currently serving as an Associate Professor at Space Engineering University, Dr. Du leads cutting-edge projects in materials science, space propulsion, and sensor technology. His career reflects a balance of academic excellence and practical engineering applications.

๐Ÿ“š Academic Citations

Dr. Duโ€™s work has been widely cited in journals across materials science, nanotechnology, and aerospace engineering. His publications have contributed significantly to the understanding of thin films, oxide semiconductors, and energy systems.

๐Ÿ› ๏ธ Technical Skills

Dr. Du is skilled in the synthesis and characterization of nanomaterials, thin-film deposition, photoluminescence spectroscopy, electrochemical analysis, gas sensing, and laser-induced propulsion. He also has expertise in energetic materials and electromagnetic wave absorption technologies.

๐Ÿ‘จโ€๐Ÿซ Teaching Experience

In his academic role, Dr. Du has mentored graduate and undergraduate students in subjects related to nanoscience, sensor technology, and advanced propulsion systems, integrating practical laboratory experience with theoretical knowledge.

๐Ÿ”ฌ Research Interests

His current research spans carbon nanomaterials, metal oxide nanostructures, photoluminescence, nanosensors, electrochemical energy storage, energetic compounds, electromagnetic wave absorbers, and innovative methods for space propulsion and thin-film engineering.

๐Ÿ“š Selected Publication

Title: Simulations and Analyses of the Influence of a Vacuum Back-Pressure Environment on Laser Ablation Thrusters

Authors: Ming Wen, Baosheng Du, Haichao Cui, Jianhui Han
Journal: Aerospace
Year: 2025

Title: Study on Plasma-Chemical Mode of Pulsed Coaxial Dielectric Barrier Discharge Plasma Based on Mass Spectrometry

Authors: Diankai Wang, Yongzan Zheng, Baosheng Du, Jianhui Han, Ming Wen, Tengfei Zhang
Journal: Aerospace
Year: 2025

Title: Transient Force Measurement and Mechanism Analysis of Nanosecond Laser Ablation of Al/Ti Alloys Using Polyvinylidene Fluoride Sensors

Authors: Ming Wen, Baosheng Du, Luyun Jiang, Heyan Gao, Jianhui Han, Haichao Cui, Jifei Ye, Chenhui Yang
Journal: Sensors
Year: 2025

Title: Theoretical Research on the Combustion Characteristics of Ammonium Dinitramide-Based Non-Toxic Aerospace Propellant

Authors: Jianhui Han, Ming Wen, Yanji Hong, Baosheng Du, Luyun Jiang, Haichao Cui, Gaoping Feng, Junling Song
Journal: Aerospace
Year: 2025

Title: Research on Micro-Propulsion Performance of Laser Ablation ADN-Based Liquid Propellant Enhanced by Chemical Energy

Authors: Luyun Jiang, Jifei Ye, Chentao Mao, Baosheng Du, Haichao Cui, Jianhui Han, Yongzan Zheng, Yanji Hong
Journal: Aerospace
Year: 2025

Minura Samaranayake | Bioinformatics | Best Researcher Award

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Mr. Minura Samaranayake | Bioinformatics | Best Researcher Award

Mr. Zhishui You | Brain-Computer Interface โ€“ South Dakota State University | United States

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Minura Samaranayake is a versatile engineer and researcher with a strong foundation in software development and satellite image processing. Currently pursuing a Masterโ€™s in Electrical Engineering at South Dakota State University, he works as a Graduate Research Assistant at the Image Processing Lab, focusing on hyperspectral and multispectral image analysis. He previously worked at Sysco LABS as a Software Engineer, building scalable cloud-based systems and AI-driven applications. Proficient in Java, Python, MATLAB, and AWS, Minura excels at creating robust pipelines and intelligent systems that bridge scientific research and real-world engineering.

๐ŸŽ“ Education

Minura is currently enrolled in the M.S. Electrical Engineering program at South Dakota State University (2023โ€“2025), studying Machine Learning, Optical Sensors, and Deep Learning. He earned his B.Sc. in Computer Science from the University of Peradeniya, Sri Lanka (2018โ€“2022), where he focused on Software Project Management, Functional Programming, and Image Processing. He received the Prize for Excellence in Computer Science and was listed on the Deanโ€™s List. His education merges theoretical depth with applied skills in software engineering and signal processing.

๐Ÿ’ผ Experience

Minura has experience in both academia and industry. At SDSU, he developed automated Linux pipelines for radiometric calibration, MTF estimation, and hyperspectral analysis. At Sysco LABS, he built REST APIs and microservices using Java (Spring Boot), integrated Apache Kafka, and automated CI/CD with Docker and GitHub Actions. He also developed an AI-based safety wear detection system with TensorFlow. His contributions span scientific research and enterprise-grade solutions, showcasing his technical versatility and team collaboration skills.

๐Ÿ… Awards and Honors

Minura has received recognition for both academic excellence and leadership. He was awarded the Prize for Excellence in Computer Science (2022) and made the Deanโ€™s List. In addition, he was the Rugby Team Captain (2021) at the University of Peradeniya. These honors reflect his multifaceted capabilities, commitment to personal development, and ability to balance academics and extracurriculars.

๐Ÿ”ฌ Research Focus

Minuraโ€™s research centers on satellite sensor calibration, particularly hyperspectral and multispectral imagery. At SDSU, he specializes in Trend-to-Trend cross-calibration, MTF modeling, and spectral band adjustment. He works with EPICS targets to ensure the harmonization of sensors like Landsat and Sentinel. His research supports global monitoring applications in climate, agriculture, and environmental science. His peer-reviewed publication in Remote Sensing underlines his scientific contributions and commitment to data accuracy in Earth observation.

๐Ÿ“š Selected Publication

Refinement of Trend-to-Trend Cross-Calibration Total Uncertainties Utilizing Extended Pseudo Invariant Calibration Sites (EPICS) Global Temporally Stable Target

  • Authors: Minura Samaranayake, Morakot Kaewmanee, Larry Leigh, Juliana Fajardo Rueda

  • Journal: Remote Sensing

  • Year: 2025

 

Yong Wang | Bioinformatics | Best Scholar Award

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Prof Dr. Yong Wang | Bioinformatics | Best Scholar Award

Prof Dr. Yong Wang | Bioinformatics โ€“ Hefei University Of Technology | China

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๐Ÿ“Œ INTRODUCTION

Prof. Dr. Yong Wang is a highly respected figure in the field of mechanical design engineering, currently serving as a Professor, Doctor of Engineering, and Doctoral Supervisor at the Hefei University of Technology. As a member of the Jiusan Society, and actively involved in multiple robotics and sensor committees such as the Chinese Automation Society and Chinese Artificial Intelligence Society, he has established himself as a thought leader in automation and intelligent systems. His role as the Director of the Sensor Branch of the China Instrument Society further underlines his significant influence in the sensor research community.

๐ŸŽ“ EARLY ACADEMIC PURSUITS

Dr. Wang laid the foundation for his career by earning a Masterโ€™s degree in 1998 from the Department of Mechanical Engineering at Hefei University of Technology. He pursued academic excellence further and achieved his Ph.D. in 2008 from the School of Mechanical and Automotive Engineering at the same institution. These formative years helped him build deep expertise in mechanical systems, automation, and robotics, shaping the trajectory of his future research and teaching.

๐Ÿ’ผ PROFESSIONAL ENDEAVORS

Beginning his professional journey as an Assistant Engineer at Hefei Tool Factory from 1991 to 1995, Dr. Wang transitioned into academia in 1999 as a Lecturer. He steadily rose through the academic ranks, becoming an Associate Professor in 2003 and a full Professor in 2009. After completing his postdoctoral research at Shenli Group Co., Ltd. in 2011, he was appointed Doctoral Supervisor in 2012. Throughout his career, he has remained committed to nurturing young researchers and advancing technological innovation.

๐Ÿ”ฌ CONTRIBUTIONS AND RESEARCH FOCUS

Prof. Wang has made pioneering contributions in intelligent mechanical systems, focusing particularly on three main areas: multi-dimensional wrist force sensors for robots, marine environment sensor technology, and rehabilitation robotics and assessment systems. His research integrates mechanical design, sensor technologies, and biomedical engineering, enabling the development of innovative systems used in both industrial and medical fields.

๐ŸŒ IMPACT AND INFLUENCE

With a distinguished reputation, Dr. Wang plays a key role in national academic bodies and has contributed to shaping the direction of sensor and robotic technologies in China. He has received major funding from top national research programs such as the National Natural Science Foundation of China, including a Key Support Project, and participated in projects under the 863 National High-Tech Program. His innovations in rehabilitation technology and marine sensors have been implemented in practical applications, underscoring the real-world impact of his research.

๐Ÿ“š ACADEMIC CITATIONS AND PUBLICATIONS

A prolific researcher, Dr. Wang has published over 70 peer-reviewed papers across leading scientific journals. His work in rehabilitation robotics appears in journals such as IEEE Transactions on Neural Systems and Rehabilitation Engineering, Biomedical Engineering Online, and Journal of Mechanical Science & Technology, while his contributions to sensor technology are featured in Sensors, Ocean Engineering, and Optical Precision Engineering. These publications highlight his cross-disciplinary approach and commitment to high-impact, applied science.

๐Ÿ… HONORS & AWARDS

Dr. Wang’s scientific excellence is reflected in the more than 70 authorized invention patents he holds, many of which have been commercialized and integrated into real-world systems. His contributions have earned him recognition from national research foundations and academic institutions. The successful industrial application of his rehabilitation devices and intelligent sensors stands as a testament to the practical significance of his work.

๐Ÿ› ๏ธ REPRESENTATIVE PATENTS

Among his many patents, notable examples include innovations in wearable rehabilitation exoskeletons, multi-joint motion systems, marine current and pressure sensors, and methods for deep-sea flow and depth measurement. These inventions demonstrate his versatility and creativity, blending complex engineering with human-centered design to solve real-life challenges in healthcare, marine research, and robotics.

๐Ÿ”ฎ LEGACY AND FUTURE CONTRIBUTIONS

Prof. Dr. Yong Wang continues to push boundaries at the intersection of engineering, AI, and human health. His future endeavors aim to deepen the integration of machine learning in sensor networks, enhance robotic rehabilitation systems, and broaden international collaboration to bring his innovations to a global audience. His legacy is defined by a unique blend of academic rigor, technological innovation, and societal relevance.

๐Ÿ“ FINAL NOTE

In summary, Prof. Dr. Yong Wang is a trailblazer in mechanical design, robotics, and sensor technology, with an impressive record of research, patents, and mentorship. His ability to bridge academic excellence with industrial application makes him a standout figure in modern engineering. As he continues to innovate, educate, and lead, his influence will shape the future of intelligent systems and rehabilitation technology for years to come.

๐Ÿ“š SELECTED PUBLICATIONS

๐Ÿ“„ 1. Design and performance testing of smart insoles

  • Authors: Yan Yuan, Jinwei Xu, Jingsong Mu, Xue Liu, Houming Wang, Yong Wang

  • Journal: Measurement Science and Technology

  • Year: 2025

๐Ÿ“„ 2. A Real-Time Bionic Method Inspired by Neural Oscillators for Estimation and Extraction of Pathological Tremor

  • Authors: Feiyun Xiao, Biqing Zhong, Yanming Wu, Yong Wang

  • Journal: IEEE Journal of Biomedical and Health Informatics

  • Year: 2023

๐Ÿ“„ 3. Soft pneumatic actuator from particle reinforced silicone rubber: Simulation and experiments

  • Authors: Zhongming Lv, Wentao Hao, Feiyun Xiao, Pin Chen, Zhengshi Liu, Yong Wang

  • Journal: Journal of Applied Polymer Science

  • Year: 2022

๐Ÿ“„ 4. Simulation and verification of measurement system for deep-sea pressure and its small fluctuation pressure

  • Authors: Huai-Yang Wang, Shan-Shan Hu, Zheng-Shi Liu, Yong Wang

  • Journal: Measurement and Control

  • Year: 2021

๐Ÿ“„ 5. Design of a Novel Cross Beam Six-Dimensional Force Sensor

  • Authors: Chun Zhang, Yong Wang, Chunfeng Li, Shanshan Hu, Jinhong Zhong

  • Journal: Preprint (possibly submitted to a journal via Research Square)

  • Year: 2020

Zhishui You | Brain-Computer Interface | Best Research Article Award

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Mr. Zhishui You | Brain-Computer Interface | Best Research Article Award

Mr. Zhishui You | Brain-Computer Interface โ€“ Beihang University | China

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๐Ÿงพ Summary

Zhishui You is a dedicated graduate student at Beihang University with a strong foundation in mathematics and electronic information. His interdisciplinary expertise bridges theoretical concepts and practical applications, particularly in the area of brain-computer interface (BCI) technologies. Zhishui is committed to advancing neural signal processing through innovative research in EEG decoding and generative methods.

๐ŸŽ“ Education

Mr. You earned a Bachelor’s degree in Mathematics and Applied Mathematics and a Master’s degree in Electronic Information from Beihang University. His educational journey reflects both depth in quantitative sciences and a transition into applied engineering research, particularly in EEG signal processing.

๐Ÿ’ผ Professional Experience

During his masterโ€™s studies, Zhishui collaborated with the Boardware-Barco-Beihang BAIoT Brain Computer Intelligence Joint Laboratory. He also engaged in international research with Cranfield University, contributing to a review article in the journal Sensors. He participated in two consultancy projects and has one patent under process.

๐Ÿ“š Academic Citations

Zhishui has authored one peer-reviewed article in an SCI-indexed journal (Sensors, MDPI, Vol. 25, 2025). Although currently early in his academic career, his publication is a stepping stone toward impactful contributions in neural engineering.

๐Ÿ› ๏ธ Technical Skills

His technical portfolio includes EEG signal preprocessing, generative modeling for virtual EEG data, and algorithm development for neural data augmentation. These skills are instrumental in enhancing model training efficiency and performance in BCI systems.

๐Ÿ‘จโ€๐Ÿซ Teaching Experience

While not formally involved in teaching roles, Zhishui has mentored junior students and contributed to collaborative learning environments within his research labs.

๐Ÿง  Research Interests

His primary interests lie in Brain-Computer Interfaces, EEG decoding, signal generation methods, and neural data augmentation. He is particularly enthusiastic about advancing practical applications in assistive technologies and healthcare.

๐Ÿ“š Selected Publications

Virtual Electroencephalogram Acquisition: A Review on Electroencephalogram Generative Methods
  • Authors: Zhishui You, Yuzhu Guo, Xiulei Zhang, Yifan Zhao
  • Journal: Sensors
  • Year: 2025