Assoc Prof Dr. Chuanzhong Wu | Deep Metric Learning | Outstanding Scientist Award

Assoc. Prof. Dr. Chuanzhong Wu | Deep Metric Learning | Outstanding Scientist Award

Chuanzhong Wu at Shanghai International Studies University, China

Profiles

Scopus

🎓 Early Academic Pursuits

Assoc. Prof. Dr. Chuanzhong Wu embarked on his academic journey with a Bachelor’s degree in Physical Education from Wuhan Institute of Physical Education in 2005. His passion for sports education and training led him to pursue a Master’s degree in Sports Education & Training Science at the same institution, which he completed in 2008. Driven by a commitment to advancing research in sports humanities, he earned his Ph.D. in Sports Humanities and Social Sciences from the National University of Physical Education and Sport of Ukraine in September 2023. His doctoral studies focused on the intersection of sports education and social sciences, under the supervision of Prof. Korobeynikava Lesia.

🏢 Professional Endeavors

Assoc Prof Dr. Wu began his teaching career in 2008 as a Teaching Assistant at Huaihai Institute of Technology. Over the years, he progressed through various academic ranks, becoming a Lecturer in 2010 and later achieving the title of Associate Professor in 2018. Currently, he serves as an Associate Professor at Jiangsu Ocean University, where he holds the position of Section Chief in the Department of Sports. His dedication to academia and sports training has earned him recognition as a key figure in sports education and talent development.

🔬 Contributions and Research Focus

Assoc Prof Dr. Wu’s research is centered on Sports Education and Training Science, where he explores innovative training methodologies, physical conditioning, and the social dimensions of sports. His work has significantly contributed to enhancing the understanding of sports culture, performance analysis, and athletic training strategies. Through extensive research and publications, he has examined topics such as the integration of school and community sports culture and the relationship between competitive sports origin theories and human demand for multi-level sports development.

🌍 Impact and Influence

As a recognized researcher in the field,Assoc Prof Dr. Wu has made substantial contributions to the academic community. His work has been honored on multiple occasions, including First Prize at the European Youth Olympic Scientific Paper Conference (2020) and Second Prize at the 2020 Tokyo Olympic Games Scientific Paper Conference. His research findings have not only influenced sports training methodologies but also contributed to policy recommendations and curriculum development in higher education institutions.

📚 Academic Cites and Recognitions

Assoc Prof Dr. Wu’s academic excellence has been acknowledged through various city and provincial-level awards. In 2021, he was selected for Lianyungang City’s “521 High-Level Talent Training Program” as a Third-Tier Scholar. His research papers have received accolades in prestigious competitions, including:

  • Second Prize in the 13th National Student Sports Conference Scientific Paper Competition (2017)
  • Second Prize in the National College Student Work Excellent Academic Achievement Award (2012)
  • Recognition as an Outstanding Instructor for University Students’ Summer Social Practice Program (2012)

đź’» Technical Skills

Assoc Prof Dr. Wu has extensive expertise in sports performance analysis, physical education methodologies, emergency rescue training, and sports research analytics. His technical skills include quantitative research methods, data-driven training assessments, and interdisciplinary sports education approaches. He is also proficient in designing and implementing sports training programs that bridge traditional education and modern technological applications.

🎓 Teaching Experience and Student Engagement

Throughout his teaching career,Assoc Prof Dr. Wu has been widely recognized for his student-centered approach and commitment to academic excellence. In 2017, he was voted the “Most Beloved Teacher” by students at Jiangsu Ocean University. His dedication to mentorship has earned him multiple awards as an “Outstanding Class Advisor” over consecutive years. His courses emphasize scientific training techniques, sports psychology, and athletic development, inspiring students to pursue excellence in sports and academia.

🌟 Legacy and Future Contributions

Assoc Prof Dr. Wu’s impact in the field of sports education and training science continues to grow. As a dedicated researcher and educator, he strives to bridge the gap between theoretical research and practical sports applications. His future contributions aim to enhance global sports training methodologies, promote interdisciplinary research, and develop next-generation athletes through innovative educational frameworks. With a strong foundation in research, teaching, and leadership, Dr. Wu remains committed to shaping the future of sports education and training science on both a national and international scale.

 

Publications

Infrared Thermal Radiation and Deep Learning Algorithms for Evaluating the Warm-Up Effect of Sports Training: Thermal Imaging Monitoring Model

  • Author: Y. Liu, Yumeng; Y. Li, Yunlong; D. Liang, Danqing; C. Li, Cheng; C. Wu, Chuanzhong
    Journal: Thermal Science and Engineering Progress
    Year: 2025

Assoc Prof Dr. Zhi Huang | Industrial | Best Researcher Award

Publications

Enzyme inactivation in broccoli of different sizes and densities using a pilot-scale 27.12 MHz radio frequency heating system

  • Author: X. Wang, Y. Zeng, J. Hu, Q. Hao, Z. Huang
    Journal: Food Control
    Year: 2025

Development and validation of a susceptor-assisted radio frequency heating strategy for improving uniformity in powdered foods

  • Author: Y. Zhang, X. Wang, J. Ma, S. Wang, Z. Huang
    Journal: Innovative Food Science and Emerging Technologies
    Year: 2025

Computer simulation for improving radio frequency (RF) heating uniformity of food products: A review

  • Author: Zhi Huang, Francesco Marra, Jeyamkondan Subbiah, Shaojin Wang
    Journal: Critical Reviews in Food Science and Nutrition
    Year: 2018

Modeling radio frequency heating of granular foods: Individual particle vs. effective property approach

  • Author: Zhi Huang, Ashim K Datta, Shaojin Wang
    Journal: Journal of Food Engineering
    Year: 2018

Improvement of radio frequency (RF) heating uniformity for peanuts with a new strategy using computational modeling

  • Author: Shuang Zhang, Zhi Huang, Shaojin Wang
    Journal: Innovative Food Science & Emerging Technologies
    Year: 2017

Assist Prof Dr. Xincheng Wang | Industrial | Best Researcher Award

Publications

External Shocks, R&D Investment, and Firms’ First-Time Digital Innovation

  • Author: Xincheng Wang, Mijia Gong, Tianyu Gong
    Journal: IEEE Transactions on Engineering Management
    Year: 2024

Digital-enabled supply chain innovation and CO2 emissions: The contingent role of first-tier supplier’s structural holes

  • Author: Xincheng Wang, Tianyu Gong
    Journal: Technological Forecasting and Social Change
    Year: 2024

Breaking out of the pandemic: How can firms match internal competence with external resources to shape operational resilience?

  • Author: Yuan Li, Xincheng Wang, Tianyu Gong, Haifeng Wang
    Journal: Journal of Operations Management
    Year: 2023

Government digital initiatives and firm digital innovation: Evidence from China

  • Author: Xincheng Wang, Yuan Li, Longwei Tian, Ye Hou
    Journal: Technovation
    Year: 2023

Environmental dynamism and cooperative innovation: the moderating role of state ownership and institutional development

  • Author: Xincheng Wang, Jide Sun, Longwei Tian, Wenjia Guo, Tianyu Gu
    Journal: The Journal of Technology Transfer
    Year: 2021

Ms. Jixue Zhang | Surveillance and Security | Best Researcher Award

Ms. Jixue Zhang | Surveillance and Security | Best Researcher Award

Jixue Zhang at Shenyang University of Chemical Technology, China

Profiles

Orcid

📌 Summary

Ms. Jixue Zhang is a dedicated graduate student at Shenyang University of Chemical Technology, specializing in network security. She has contributed significantly to intrusion detection and vehicle networking attack detection, with notable research publications and intellectual property achievements.

🎓 Education

  • B.Sc., Shandong Jiaotong University
  • M.Sc. (Ongoing), Shenyang University of Chemical Technology

💼 Professional Experience

  • Published SCI paper in The Computer Journal
  • Two granted patents & one software copyright
  • Active participant in security technology projects

🔍 Research Interests

  • Network Security
  • Intrusion Detection
  • Abnormal Traffic Detection
  • Security Protocol Optimization

 

Publication

Internet of Vehicles Intrusion Detection Method Based on CFS-COA Feature Selection and Spatio-Temporal Feature Extraction

  • Authors: Zhongjun Yang, Jixue Zhang, Beimin Su, Jorge Blasco AlĂ­s
    Journal: The Computer Journal
    Year: 2024

Prof. Nema Salem | Image Processing | Best Researcher Award

Prof. Nema Salem | Image Processing | Best Researcher Award

Professor at Effat University, Saudi Arabia

👨‍🎓 Profiles

Scopus

Orcid

Google Scholar

🎓 Early Academic Pursuits

Prof. Nema Salem’s academic journey began with a strong foundation in engineering and medical imaging. She earned her B.Sc. with honors in 1987 and later obtained her M.Sc. in 1990 from Alexandria University (AU), Egypt, specializing in mitral valve diagnosis. She further pursued her Ph.D. in “Classification of Breast Tumors by Acutance Measure and Shape Factors” through a joint program between the University of Calgary, Canada, and AU in 1996. Her early research laid the groundwork for advancements in medical diagnostics, particularly in breast cancer detection, setting the stage for a distinguished academic and research career.

🏆 Professional Endeavors

Prof. Salem’s professional trajectory spans multiple prestigious institutions. Since 1987, she has held progressive academic roles at AU, the Asian Institute of Technology (AIT), Hadramout University in Yemen, and Effat University in Saudi Arabia, where she has been an Assistant Professor since 2008. She has also served as the Chair of the Electrical and Computer Engineering Department at Effat University, contributing to curriculum development and accreditation processes such as NCAAA and ABET. Her leadership extends beyond academia, as she has organized international competitions like the IET GCC Robotics Challenge and the World Robot Olympiad, promoting innovation among young engineers.

🔬 Contributions and Research Focus

Prof. Salem’s research portfolio is marked by interdisciplinary contributions in medical imaging, artificial intelligence, control systems, and renewable energy. She has pioneered AI-driven applications, including ECG analysis, skin lesion segmentation, and glaucoma detection, enhancing the accuracy of medical diagnostics. Additionally, she has played a crucial role in renewable energy advancements, optimizing solar power generation and thermoelectric systems. Her expertise in robotics and control engineering is evident in her work on PID and LQR controllers for performance enhancement in automation and energy-efficient designs.

🌍 Impact and Influence

Prof. Salem’s influence extends beyond her research, as she actively mentors students, supervises master’s and Ph.D. theses, and collaborates with international researchers. Her dedication to fostering innovation has resulted in students winning prestigious awards, including a bronze medal at the 49th International Exhibition in Geneva. She has also contributed significantly to the academic community through her editorial roles and peer-reviewing for high-impact journals. Her recognition includes the Queen Effat Award for Teaching Excellence (2019-2020, 2022-2023) and a UK Fellowship for teaching excellence, affirming her commitment to quality education and research.

📚 Academic Citations and Publications

Prof. Salem’s research is well-documented in reputable journals and conferences. She has published extensively in IEEE Transactions on Medical Imaging, PLOS ONE, Sensors, and IEEE Access, with a strong presence in high-impact publications. Her work is widely cited, reflecting its significance in medical imaging, artificial intelligence, and renewable energy. Her research contributions are accessible via Google Scholar and the AD Scientific Index 2024, demonstrating her academic reach and influence.

đź’ˇ Technical Skills and Expertise

Prof. Salem possesses a diverse technical skill set, encompassing AI-driven signal and image processing, robotics, logic design, and renewable energy optimization. She has expertise in developing machine learning models for medical diagnostics, implementing control strategies for automation, and designing CMOS-based circuits. Her ability to integrate interdisciplinary approaches has made her a sought-after researcher in multiple domains, from biomedical engineering to energy-efficient systems.

đź“– Teaching and Mentorship

With over three decades of teaching experience, Prof. Salem has played a pivotal role in shaping the next generation of engineers. She has designed and delivered courses in signal processing, artificial intelligence, control systems, and electronics. Her student-centered approach has been recognized through multiple teaching awards. She actively engages in student mentorship, encouraging innovative research projects and guiding them to success in international competitions and academic publishing.

đź”® Legacy and Future Contributions

Prof. Salem’s legacy is defined by her relentless pursuit of innovation and knowledge dissemination. Her research continues to push the boundaries of technology, particularly in AI-driven healthcare and renewable energy systems. She remains committed to mentoring students, expanding research collaborations, and advancing engineering education. Through her leadership, she aims to drive impactful change in medical diagnostics, sustainable energy, and robotics, ensuring a lasting influence in academia and industry.

 

Publications

Artificially Intelligent Detection of Retinal Pigment Sign Using P3S-Net for Retinitis Pigmentosa Analysis

  • Authors: Syed Muhammad Ali Imran, Abida Hussain, Nema Salem, Muhammad Arsalan
    Journal: Results in Engineering
    Year: 2025

Causal Speech Enhancement Using Dynamical-Weighted Loss and Attention Encoder-Decoder Recurrent Neural Network

  • Authors: Fahad Khalil Peracha, Abdullah M. Mutawa, Muhammad Irfan Khattak, Nema Salem, Nasir Saleem
    Journal: PLOS ONE
    Year: 2023

Artificial Intelligence-Based Detection of Human Embryo Components for Assisted Reproduction by In Vitro Fertilization

  • Authors: Abeer Mushtaq, Maria Mumtaz, Ali Raza, Nema Salem, Muhammad Naveed Yasir
    Journal: Sensors
    Year: 2022

Automated Diagnosis of Leukemia: A Comprehensive Review

  • Authors: Afshan Shah, Syed Saud Naqvi, Khuram Naveed, Nema Salem, Mohammad A. U. Khan, Khurram S. Alimgeer
    Journal: IEEE Access
    Year: 2021

DAVS-NET: Dense Aggregation Vessel Segmentation Network for Retinal Vasculature Detection in Fundus Images

  • Authors: Mohsin Raza, Khuram Naveed, Awais Akram, Nema Salem, Amir Afaq, Hussain Ahmad Madni, Mohammad A. U. Khan, Mui-zzud-din
    Journal: PLOS ONE
    Year: 2021

Dr. Zhiyou Long | Traffic and Transportation Analysis | Best Researcher Award

Publications

Deep learning–based data anomaly detection for highway slope structural health monitoring: A comparative study

  • Authors: Shi Dong, Zhiyou Long, Shiyuan Zhang, Jianwei Wang, Chen Zuo, Chao Yang, Jinyi Jiang, Zhiwei Cui, Zhaolong Wan
    Journal: Transportation Geotechnics
    Year: 2025

Bibliometric Insights into the Implications of Urban Built Environment on Travel Behavior

  • Authors: Chao Gao, Xinyi Lai, Shasha Li, Zhiwei Cui, Zhiyou Long
    Journal: ISPRS International Journal of Geo-Information
    Year: 2023

An Integrated Method for Tunnel Health Monitoring Data Analysis and Early Warning: Savitzky–Golay Smoothing and Wavelet Transform Denoising Processing

  • Authors: Ning Zhao, Jincheng Wei, Zhiyou Long, Chao Yang, Jiefu Bi, Zhaolong Wan, Shi Dong
    Journal: Sensors
    Year: 2023

How does COVID-19 pandemic impact cities’ logistics performance? An evidence from China’s highway freight transport

  • Authors: Zhiwei Cui, Xin Fu, Jianwei Wang, Yongjie Qiang, Ying Jiang, Zhiyou Long
    Journal: Transport Policy
    Year: 2022

Analyzing Spatiotemporal Daily Travel Source Carbon Emissions Based on Taxi Trajectory Data

  • Authors: Maopeng Sun, Chenlei Xue, Yanqiu Cheng, Ling Zhao, Zhiyou Long
    Journal: IEEE Access
    Year: 2021

Dr. Richard Arias-Hernandez | Education | Academic Advancement Award

Dr. Richard Arias-Hernandez | Education | Academic Advancement Award

Doctorate at The University of British Columbia, Canada

👨‍🎓 Profiles

google Scholar

Publications

Designing visual analytic tools for emergency operation centers: a qualitative approach

  • Author: Richard Arias-Hernandez, Brian Fisher
  • Journal: International Journal of Information Systems for Crisis Response and Management (IJISCRAM)
  • Year: 2014

Individual differences and translational science in the design of human-centered visualizations

  • Author: Tera Marie Green, Richard Arias-Hernandez, Brian Fisher
  • Journal: Handbook of Human Centric Visualization
  • Year: 2014

Exceptional Engineering: Challenges and Opportunities for Socially Just Engineering in Non-governmental Organizations in Colombia

  • Author: Richard Arias-Hernandez
  • Journal: Engineering Education for Social Justice: Critical Explorations and Opportunities
  • Year: 2013

From cognitive amplifiers to cognitive prostheses: Understandings of the material basis of cognition in visual analytics

  • Author: Richard Arias-Hernandez, Tera M Green, Brian Fisher
  • Journal: Interdisciplinary science reviews
  • Year: 2012

The borders of engineers without borders: A self-assessment of Ingenieros Sin Fronteras Colombia

  • Author: AndrĂ©s Felipe Valderrama Pineda, Richard Arias-Hernández, MarĂ­a C RamĂ­rez, Astrid Bejarano, Juan C Silva
  • Journal: International Journal of Engineering, Social Justice, and Peace
  • Year: 2012

Dr. Jianbang Liu | Augmented Reality | Best Faculty Award

Dr. Jianbang Liu | Augmented Reality | Best Faculty Award

Doctorate at Xinyu University, China

👨‍🎓 Profiles

Scopus

Orcid

Publications

Assessing the impact and development of immersive VR technology in education: Insights from telepresence, emotion, and cognition

  • Author: JianBang Liu, Mei Choo Ang, Jun Kit Chaw, Ah-Lian Kor, Kok Weng Ng, Meng Chun Lam
    Journal: Technological Forecasting and Social Change
    Year: 2025

Personalized emotion analysis based on fuzzy multi-modal transformer model

  • Author: JianBang Liu, Mei Choo Ang, Jun Kit Chaw, Kok Weng Ng, Ah-Lian Kor
    Journal: Applied Intelligence
    Year: 2025

The Emotional State Transition Model Empowered by Genetic Hybridization Technology on Human–Robot Interaction

  • Author: JianBang Liu, Mei Choo Ang, Jun Kit Chaw, Kok Weng Ng, Ah-Lian Kor
    Journal: IEEE Access
    Year: 2024

Emotion assessment and application in human–computer interaction interface based on backpropagation neural network and artificial bee colony algorithm

  • Author: JianBang Liu, Mei Choo Ang, Jun Kit Chaw, Ah-Lian Kor, Kok Weng Ng
    Journal: Expert Systems with Applications
    Year: 2023

Performance Evaluation of HMI based on AHP and GRT for GUI

  • Author: JianBang Liu, Mei Choo Ang, Jun Kit Chaw, Kok Weng Ng
    Journal: 2022 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET)
    Year: 2022

Ms. Joy Shen | Applications of Computer Vision | Best Researcher Award

Ms. Joy Shen | Applications of Computer Vision | Best Researcher Award

Joy Shen at University of Maryland at College Park, United States

Profiles

Scopus

Orcid

📚 Summary

Ms. Joy Shen is a Ph.D. candidate in Reliability Engineering at the University of Maryland, with expertise in probabilistic risk assessments (PRA) and reliability analysis, particularly for nuclear power systems. She currently works as a Reliability Engineer at NIST, where she develops Bayesian networks and conducts risk-based analyses to improve safety and operational efficiency in nuclear reactors.

Education

  • Ph.D. in Reliability Engineering (Expected May 2025), University of Maryland
  • MSc. in Reliability Engineering (May 2023), University of Maryland
  • B.Sc. in Mechanical Engineering with Nuclear Engineering Minor (Aug 2018), University of Maryland

👩‍🏫 Work Experience

  • Reliability Engineer | NIST, Gaithersburg, MD (Feb 2024 – Present)
    Developed Bayesian network models for safety-related systems in NIST’s research reactor. Analyzed degradation and assisted with relicensing efforts for long-term operations.
  • Mechanical Engineer | NIST, Gaithersburg, MD (Aug 2019 – Aug 2023)
    Performed CFD analysis and developed CAD models for the design of a new neutron source.

🔬 Research Experience

  • Graduate Research Assistant | University of Maryland, College Park, MD
    Conducted pioneering research in external flood PRAs using Monte Carlo augmented Bayesian networks. Investigated nuclear power plant risks and contributed to the U.S. NRC’s efforts to assess system vulnerabilities during external floods.
  • Associate Researcher | NIST, Gaithersburg, MD
    Conducted neutron energy spectrum measurements, proving the viability of Cf-250 as a calibration source for radiation instrumentation.

đź›  Skills and Certifications

  • CAD: Solidworks, Autodesk Inventor
  • Programming: MATLAB, Python, IGOR
  • Accident Analysis: MCNP, RELAP5, TRACE, SNAP
  • Probabilistic Tools: SAPHIRE, GeNIE, Minitab
  • Certifications: 10 CFR 50.59 Training, Procedure Professionals Association (PPA)

🔍 Research Interests

Ms. Joy’s research interests focus on probabilistic risk assessments (PRA), Bayesian networks, nuclear reactor safety, and external flood risk assessments. She is passionate about enhancing the reliability and safety of critical infrastructure through advanced analytical models.

 

Publications

A Monte Carlo augmented Bayesian network approach for external flood PRAs

  • Authors: Shen, J., Bensi, M., Modarres, M.
  • Year: 2025

A Hybrid, Bayesian Network-Based PRA Methodology for External Flood Probabilistic Risk Assessments at Nuclear Power Plants

  • Authors: Shen, J., Frantzis, C., Marandi, S., Bensi, M., Modarres, M.
  • Year: 2023

Synthesis of Insights Regarding Current PRA Technologies for Risk-Informed Decision Making

  • Authors: Shen, J., Marandi, S., Bensi, M., Modarres, M.
  • Year: 2023

Assist Prof Dr. Em-on Chaiprateep | Healthcare Applications | Best Researcher Award

Assist Prof Dr. Em-on Chaiprateep | Healthcare Applications | Best Researcher Award

Em-on Chaiprateep at Faculty of Integrative Medicine, Thailand

Profiles

Orcid

Google Scholar

📚 Summary

Dr. Em-on Chaiprateep is an Assistant Professor at the Faculty of Integrative Medicine, Rajamangala University of Technology Thanyaburi, Thailand. With extensive experience in pharmaceutical sciences, clinical research, and regulatory affairs, her expertise spans dermal drug delivery, traditional medicine, and integrative healthcare. She has contributed significantly to academia through teaching, research, and leadership roles.

Education

  • Doctor of Philosophy (Ph.D.) – Philipps-Universität Marburg, Germany (2021–present)
    Research: Essential influences on dermal penetration efficacy of active compounds
  • Master’s in Pharmacy, Food Chemistry & Medical Nutrition – Chulalongkorn University, Thailand (2008–2011)
  • Bachelor’s in Pharmacy, Pharmaceutical Clinic – Silpakorn University, Thailand (2002–2006)

👩‍🏫 Work Experience

  • Rajamangala University of Technology Thanyaburi (2015–Present)
    • Assistant to the Dean for Research (2024–Present)
    • Assistant Professor, Faculty of Integrative Medicine (2018–Present)
    • Lecturer, Faculty of Integrative Medicine (2015–2018)
    • Head of Regulatory Affairs Pharmacist (Traditional Medicine)
  • Eastern Asia University (2011–2014) – Lecturer, Assistant to the Dean for Academic Affairs
  • Ramathibodi Hospital (2008–2011, 2006–2007) – Research Assistant in clinical trials
  • Phyathai II Hospital (2007–2008) – Hospital Pharmacist

🔬 Research Interests

  • Dermal drug delivery and penetration efficacy
  • Traditional and integrative medicine
  • Pharmaceutical formulation and regulatory affairs
  • Patient counseling and medication compliance

đź’ˇSkills

  • Technical Skills: SPSS, Epi-data, PowerPoint, Excel, Word
  • Research & Data Analysis: Clinical trials, pharmaceutical formulation, statistical analysis
  • Regulatory Affairs: Traditional medicine, pharmaceutical compliance
  • Teaching & Mentorship: Pharmacy education, student research supervision

 

Publications

Microneedle-Assisted Delivery of Curcumin: Evaluating the Effects of Needle Length and Formulation

  • Authors: Em-on Chaiprateep, Soma Sengupta, Cornelia M Keck
  • Journal: Micromachines
  • Year: 2024

Influence of Dose, Particle Size and Concentration on Dermal Penetration Efficacy of Curcumin

  • Authors: Em-on Chaiprateep, Sabrina Wiemann, Ralph W Eckert, Christian Raab, Soma Sengupta, Cornelia M Keck
  • Journal: Pharmaceutics
  • Year: 2023

Optimization of water-based ultrasonic-microwave assisted extraction (UMAE) of bioactive compounds from Garcinia mangostana pericarp

  • Authors: Juthaporn Kwansang, Chung-Jen Chen, Em-on Chaiprateep
  • Journal: Journal of Complementary and Integrative Medicine
  • Year: 2022

Influence of mechanical skin treatments on dermal penetration efficacy of active ingredients

  • Authors: Cornelia M Keck, Em-on Chaiprateep, Henriette Dietrich, Soma Sengupta
  • Journal: Pharmaceutics
  • Year: 2022

Optimization ultrasonic–microwave-assisted extraction of phenolic compounds from Clinacanthus nutans using response surface methodology

  • Authors: Siriphatr Chamutpong, Chung-Jen Chen, Em-on Chaiprateep
  • Journal: Journal of Advanced Pharmaceutical Technology & Research
  • Year: 2021