Hye-Won Jung | Food Safety | Innovative Research Award

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Innovative Research Award

Hye-Won Jung
Adelaide MRI, Australia

Hye-Won Jung
Affiliation Adelaide MRI
Country Australia
Scopus ID 57037522300
Documents 10
Citations 225
h-index 7
Subject Area Food Safety and Quality Control
Event International Food Scientist Awards
ORCID 0000-0002-0057-0818

Hye-Won Jung is a researcher affiliated with AdelaideMRI whose scholarly activities encompass food safety, quality control, hyperspectral imaging, artificial intelligence, computer vision, and nondestructive analytical technologies. The available Scopus metrics indicate a developing research profile comprising ten indexed publications, 225 citations, and an h-index of 7. The research portfolio demonstrates interdisciplinary collaboration across food science, biomedical imaging, machine learning, and optical sensing, with contributions to rapid contaminant detection and advanced image analysis methods. These achievements provide a strong basis for recognition within the International Food Scientist Awards while reflecting continued engagement with innovative analytical technologies.[1]

Abstract

The research activities of Hye-Won Jung focus on the integration of advanced imaging technologies, artificial intelligence, and chemometric analysis for food quality assessment and biomedical image interpretation. Published studies demonstrate expertise in hyperspectral imaging, optical spectroscopy, deep learning, and computer vision for nondestructive inspection systems. Recent investigations further extend these analytical methods into automated clinical image interpretation using attention-gated deep learning frameworks, illustrating broad interdisciplinary capability across food safety and medical imaging.[2]

Keywords

Food Safety, Quality Control, Hyperspectral Imaging, Artificial Intelligence, Deep Learning, Chemometrics, Optical Imaging, Computer Vision

Introduction

Modern food safety increasingly depends on rapid, nondestructive analytical technologies capable of detecting contaminants while preserving sample integrity. Hye-Won Jung has contributed to this evolving field through research involving hyperspectral imaging, optical spectroscopy, chemometric modelling, and machine learning approaches that improve contaminant detection and product quality evaluation. The interdisciplinary nature of these investigations aligns with international priorities for safer food systems and intelligent analytical technologies.[3]

Research Profile

The research profile combines expertise in food science, biomedical engineering, computer vision, and artificial intelligence. Published work spans peer-reviewed journals including LWT, Comprehensive Reviews in Food Science and Food Safety, Pattern Recognition, and Applied Sciences. Research emphasizes practical analytical solutions that improve diagnostic accuracy, contaminant screening, and automated image interpretation while supporting scientific reproducibility and technological innovation.[2]

Research Contributions

  • Development of SWIR hyperspectral imaging methods for rapid detection of aflatoxin B1 in almonds.
  • Comprehensive reviews of optical imaging technologies for nondestructive mycotoxin detection.
  • Machine learning and attention-gated deep learning applications in medical image analysis.
  • Computer vision algorithms for particle tracking in synchrotron X-ray imaging.
  • Interdisciplinary integration of food safety analytics with advanced computational methods.

Publications

  1. Advanced Clinical Analysis Based on Automated Cardiothoracic Ratio Estimation Using Attention-Gated Deep Learning. Applied Sciences, 2026. DOI: 10.3390/app16147019
  2. Application of SWIR hyperspectral imaging coupled with chemometrics for rapid and non-destructive prediction of Aflatoxin B1 in single kernel almonds. LWT, 2022. DOI: 10.1016/j.lwt.2021.112954
  3. Research advancements in optical imaging and spectroscopic techniques for nondestructive detection of mold infection and mycotoxins in cereal grains and nuts. Comprehensive Reviews in Food Science and Food Safety, 2021. DOI: 10.1111/1541-4337.12801
  4. Multiple particle tracking in time-lapse synchrotron X-ray images using discriminative appearance and neighbouring topology learning. Pattern Recognition, 2019. DOI: 10.1016/j.patcog.2019.05.007
  5. Multiple mucociliary transit marker tracking in synchrotron X-ray images using the global nearest neighbor method. IEEE EMBC, 2017. DOI: 10.1109/EMBC.2017.8037200

Research Impact

Based on the available Scopus profile, the researcher has accumulated 225 citations with an h-index of 7 across ten indexed publications. Citation performance reflects meaningful scholarly influence within interdisciplinary research involving food safety, imaging science, chemometrics, and computational analysis. The body of work has contributed to improved methodologies for contaminant detection, optical sensing, and intelligent image processing, supporting continued scientific advancement.[1]

Award Suitability

The available publication record demonstrates sustained contributions to innovative analytical technologies applicable to food safety and quality control. The integration of hyperspectral imaging, chemometric modelling, artificial intelligence, and optical sensing reflects research that addresses contemporary scientific and industrial challenges. These achievements indicate strong suitability for recognition under the Innovative Research Award category of the International Food Scientist Awards, particularly for interdisciplinary research advancing nondestructive food analysis and intelligent imaging technologies.[3]

Conclusion

Hye-Won Jung has established an interdisciplinary research portfolio spanning food science, biomedical imaging, computer vision, and artificial intelligence. Through peer-reviewed publications and measurable citation impact, the researcher has contributed to the advancement of nondestructive analytical technologies and intelligent image analysis. The documented scholarly achievements provide a well-supported academic profile suitable for international professional recognition.

References

  1. Elsevier. (n.d.). Scopus Author Details: Hye-Won Jung, Author ID 57037522300. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57037522300
  2. Jung, H.-W., et al. (2026). Advanced Clinical Analysis Based on Automated Cardiothoracic Ratio Estimation Using Attention-Gated Deep Learning. Applied Sciences.
    DOI: https://doi.org/10.3390/app16147019
  3. Jung, H.-W., et al. (2022). Application of SWIR hyperspectral imaging coupled with chemometrics for rapid and non-destructive prediction of Aflatoxin B1 in single kernel almonds. LWT. DOI: https://doi.org/10.1016/j.lwt.2021.112954
  4. Jung, H.-W., et al. (2021). Research advancements in optical imaging and spectroscopic techniques for nondestructive detection of mold infection and mycotoxins in cereal grains and nuts. Comprehensive Reviews in Food Science and Food Safety. DOI: https://doi.org/10.1111/1541-4337.12801
  5. Jung, H.-W., et al. (2019). Multiple particle tracking in time-lapse synchrotron X-ray images using discriminative appearance and neighbouring topology learning. Pattern Recognition.
    DOI: https://doi.org/10.1016/j.patcog.2019.05.007

Ahmed Mostafa | Food Safety | Innovative Research Award

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Innovative Research Award

Ahmed Mostafa
Affiliation Imam Abdulrahman Bin Faisal University
Country Saudi Arabia
Scopus ID 7006119393
Documents 50
Citations 1235
h-index 22
Subject Area Food Safety and Quality Control
Event International Food Scientist Awards
ORCID 0000-0002-3350-8519

Ahmed Mostafa
Imam Abdulrahman Bin Faisal University, Saudi Arabia

Ahmed Mostafa is a researcher affiliated with Imam Abdulrahman Bin Faisal University, Saudi Arabia. His scholarly work focuses on food safety, analytical chemistry, green extraction technologies, pharmaceutical residue monitoring, biomaterials, computational drug discovery, and quality control methodologies. His publication portfolio demonstrates sustained contributions toward environmentally sustainable analytical methods and advanced instrumental techniques for food contaminant determination, making his research relevant to modern food quality assurance and public health initiatives.[1]

Abstract

Ahmed Mostafa research portfolio combines sustainable analytical chemistry with food safety applications. His studies emphasize the development of environmentally friendly deep eutectic solvent extraction systems, ultra-high-performance liquid chromatography coupled with tandem mass spectrometry (UHPLC–MS/MS), and computational methodologies for antimicrobial drug discovery. These investigations contribute to accurate monitoring of antibiotic residues, endocrine-disrupting chemicals, and other contaminants while promoting greener laboratory practices.[2]

Keywords

Food Safety, Quality Control, Natural Deep Eutectic Solvents, UHPLC-MS/MS, Green Analytical Chemistry, Antibiotic Residues, Food Contaminants, Microextraction

Introduction

Food safety continues to be an important component of public health, requiring sensitive analytical technologies capable of detecting trace contaminants. Ahmed Mostafa’s research addresses this challenge by integrating sustainable extraction approaches with advanced chromatographic and mass spectrometric techniques. His work also reflects increasing international interest in reducing solvent consumption and environmental impact while maintaining high analytical accuracy.[3]

Research Profile

According to the available scholarly metrics, Ahmed Mostafa has authored 50 indexed publications with more than 1,235 citations and an h-index of 22. His research interests include analytical chemistry, food contaminant monitoring, green solvent technology, biomaterials, pharmaceutical analysis, computational chemistry, and laboratory quality assurance.[1]

Research Contributions

  • Development of natural deep eutectic solvent-based microextraction methods for food contaminant analysis.
  • Application of UHPLC-MS/MS platforms for ultra-trace detection of antibiotic residues.
  • Research on environmentally sustainable analytical methodologies supporting green chemistry principles.
  • Computational identification of antimicrobial lead compounds using high-throughput molecular modeling.
  • Studies involving biomaterials and dental resin cytocompatibility.

Publications

  1. Natural Deep Eutectic Solvent-Based Dispersive Liquid–Liquid Microextraction Coupled with UHPLC–MS/MS for the Determination of Antibiotic Residues in Food Products (Antibiotics, 2026).
  2. Sustainable Anisaldehyde-Based Natural Deep Eutectic Solvent Dispersive Liquid–Liquid Microextraction for Monitoring Antibiotic Residues in Commercial Milk and Eggs (Foods, 2026).
  3. In Silico Lead Identification of Staphylococcus aureus LtaS Inhibitors (International Journal of Molecular Sciences, 2025).
  4. Monomer Leaching and Cytocompatibility Analyses of Bioactive Glasses-Based Dental Resin Infiltrants (Journal of Applied Polymer Science, 2025).
  5. DES-DLLME Followed by UPLC–MS/MS for Simultaneous Determination of Selected Parabens and Bisphenols in Food Products (Microchemical Journal, 2024).

Research Impact

The research demonstrates practical significance for food safety laboratories, regulatory agencies, and analytical scientists seeking environmentally responsible testing procedures. Publications on natural deep eutectic solvent extraction have contributed to expanding sustainable analytical methodologies while maintaining analytical sensitivity and reliability for complex food matrices.[4]

Award Suitability

Based on documented publication output, citation performance, and research focus, Ahmed Mostafa’s work aligns with the objectives of the Innovative Research Award within the International Food Scientist Awards. His scholarly activities demonstrate continuous contributions toward analytical innovation, sustainable laboratory practices, food quality monitoring, and interdisciplinary scientific advancement.

Conclusion

Ahmed Mostafa has established a research profile characterized by rigorous analytical methodology, sustainable chemistry, and food safety applications. His scientific publications contribute to improving contaminant detection technologies while promoting environmentally responsible analytical practices. Collectively, these achievements represent meaningful contributions to food science and quality control research.[1]

References

  1. Elsevier. (n.d.). Scopus author details: Ahmed Mostafa, Author ID 7006119393. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=7006119393
  2. Mostafa A. (2026). Natural Deep Eutectic Solvent-Based Dispersive Liquid–Liquid Microextraction Coupled with UHPLC–MS/MS for the Determination of Antibiotic Residues in Food Products. Antibiotics.
    DOI:https://doi.org/10.3390/antibiotics15070644
  3. Mostafa A. (2026). Sustainable Anisaldehyde-Based Natural Deep Eutectic Solvent Dispersive Liquid–Liquid Microextraction for Monitoring Antibiotic Residues in Commercial Milk and Eggs. Foods.
    https://doi.org/10.3390/foods15020258
  4. Mostafa A. (2024). Anisaldehyde-based DES-DLLME followed by UPLC–MS/MS for simultaneous determination of selected parabens and bisphenols in food products. Microchemical Journal.
    https://doi.org/10.1016/j.microc.2024.110981

Yixiao Chen | Food Safety and Quality Control | Editorial Board Member

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Dr. Yixiao Chen | Food Safety and Quality Control | Editorial Board Member

Jiangsu University | China

Dr. Yixiao Chen is a promising Ph.D. candidate in Vehicle Engineering at Jiangsu University with expertise in autonomous driving, accelerated evaluation, steer-by-wire systems, and machine learning. He has produced 6 publications, earning 14 citations across 14 citing documents, with an h-index of 2, reflecting growing academic recognition. His research significantly supports safety validation, scenario generation, and virtual testing for automated vehicles. Combined with multiple patents, competition awards, and technical achievements, he demonstrates strong innovation potential and emerging leadership in intelligent transportation engineering and next-generation autonomous mobility systems.

Citation Metrics (Scopus)

20

15

10

5

0

Citations 14

Documents 6

h-index 2

🟦 Citations πŸŸ₯ Documents 🟩 h-index

ScopusΒ  ORCID

Featured Publications

A Hybrid Optimal Acceleration Evaluation Model for Automated Driving Based on Importance Sampling Method
– IEEE Transactions on Automation Science and Engineering (2026) | DOI: 10.1109/TASE.2025.3636398

Autonomous Driving Accelerated Evaluation Method for Independent/Dependent Variables Based on Importance Sampling
– Accident Analysis & Prevention (2026) | DOI: 10.1016/j.aap.2026.108454

Wenfeng Han | Food Safety and Quality Control | Excellence in Food Science Education

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Dr. Wenfeng Han | Food Safety and Quality Control | Excellence in Food Science Education

Zhejiang Industry Polytechnic College | China

Dr. Wenfeng Han is an Associate Professor and accomplished food scientist specializing in postharvest science and technology of horticultural products. She holds a Ph.D. in Agriculture from Hunan Agricultural University, where her research focused on the inhibition mechanisms of NΞ΅-carboxymethyllysine (CML) in foods using natural polyphenols. With over two decades of academic and industry experience, she has made significant contributions to food safety, processing technology, and nutritional quality enhancement. Dr. Han has published extensively in peer-reviewed journals, contributed to multiple textbooks, and holds several patents and research grants as Principal Investigator. Her work emphasizes low glycemic index foods, functional food development, and advanced analytical techniques. Recognized with numerous awards and honors, she is also an active reviewer and academic mentor, contributing to innovation and excellence in food science and technology.

Citation Metrics (Scopus)

120

90

60

30

0

Citations
103

Documents
12

h-index
2

🟦 Citations πŸŸ₯ Documents 🟩 h-index

Featured Publications

Zhao Chen | Food Toxicity | Research Excellence Award

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Assoc. Prof. Dr. Zhao Chen | Food Toxicity | Research Excellence Award

Professor | Institute of Basic Research in Clinical Medicine | China

Assoc. Prof. Dr. Zhao Chen (He/His) is a distinguished research scientist in the field of Food Safety Microbiology and Genomics, focusing on the integration of cutting-edge omics technologies and bioinformatics to address persistent challenges in food safety. His educational background includes advanced studies in Microbiology, culminating in a doctoral degree. Throughout his professional career at prestigious research institutions, he has served in significant roles, including as an Assistant Research Scientist, and has successfully led federally funded projects as a Principal Investigator. His primary research interests encompass whole-genome sequencing and genomic analysis of foodborne pathogens, investigating the stress response of these microorganisms, and developing advanced methods for their survival, detection, transfer, and inactivation. He possesses exceptional research skills in next-generation sequencing, long-read and hybrid genome assembly, bioinformatics, quantitative microbiological risk assessment, and molecular microbiology. Assoc. Prof. Dr. Zhao Chen has been recognized for his contributions, serving as an active journal editor and reviewer, and is a member of key professional organizations such as the International Association for Food Protection. His significant output of peer-reviewed articles has been published in numerous top-tier journals.

Profile: Google Scholar | ORCID

Featured Publications:

Chen, Z., Erickson, D. L., & Meng, J. (2020). Benchmarking hybrid assembly approaches for genomic analyses of bacterial pathogens using Illumina and Oxford Nanopore sequencing. BMC Genomics, 21(1), 1-21. (119 Citations)

Chen, Z., Erickson, D. L., & Meng, J. (2021). Polishing the Oxford Nanopore long-read assemblies of bacterial pathogens with Illumina short reads to improve genomic analyses. Genomics, 113(3), 1366–1377. (68 Citations)

Chen, Z., Erickson, D. L., & Meng, J. (2020). Benchmarking long-read assemblers for genomic analyses of bacterial pathogens using Oxford Nanopore sequencing. International Journal of Molecular Sciences, 21(23), 9161. (48 Citations)

Chen, Z., Diao, J., Dharmasena, M., Ionita, C., Jiang, X., & Rieck, J. (2013). Thermal inactivation of desiccation-adapted Salmonella spp. in aged chicken litter. Applied and Environmental Microbiology, 79(22), 7013–7020. (77 Citations)

Chen, Z., Kim, J., & Jiang, X. (2018). Survival of Escherichia coli O157:H7 and Salmonella enterica in animal waste‐based composts as influenced by compost type, storage condition and inoculum level. Journal of Applied Microbiology, 124(5), 1311–1323. (57 Citations)

Chen, Z., & Meng, J. (2021). Persistence of Salmonella enterica and Enterococcus faecium NRRL B-2354 on baby spinach subjected to temperature abuse after exposure to sub-lethal stresses. Foods, 10(9), 2141. (32 Citations)

Chen, Z., & Zhu, C. (2011). Modelling inactivation by aqueous chlorine dioxide of Dothiorella gregaria Sacc. and Fusarium tricinctum (Corda) Sacc. spores inoculated on fresh chestnut kernel. Letters in Applied Microbiology, 52(6), 676–684. (54 Citations)

 

Ebenezer Olaniyi | Food Quality | Best Researcher Award

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Mr. Ebenezer Olaniyi | Food Quality | Best Researcher Award

Research Assistant | University of Georgia | United StatesΒ 

Mr. Ebenezer Olaniyi is a distinguished researcher whose profile spans Food Science and Technology and Electrical/Electronic Engineering, with a core focus on developing intelligent systems for non-destructive quality assessment. His educational background includes advanced degrees in his technical field. His professional experience includes roles as a Lecturer in engineering and his current capacity as a Graduate Research Assistant, contributing to cutting-edge food safety projects. Mr. Olaniyi’s primary research interest lies in applying Artificial Intelligence, Machine Learning, and Computer Vision for solving real-world challenges in the food industry, such as rapid and objective evaluation of meat quality (e.g., white striping and microbial spoilage) and the grading of agricultural products like sweet potatoes and bananas. His specific research skills encompass advanced techniques like Structured Illumination Reflectance Imaging (SIRI), Pattern Recognition, Deep Learning, and Neural Networks for feature extraction and classification. The available information, while comprehensive on his research output, does not list specific formal awards or honors at this time. In conclusion, Mr. Olaniyi is an interdisciplinary scholar positioned to make transformative contributions to the efficiency and safety of global food production through his innovative application of machine vision systems.

Profile:Β Google scholar | ORCID

Featured Publications:

Lu, Y., Chen, D., Olaniyi, E. O., & Huang, Y. (2022). Generative adversarial networks (GANs) for image augmentation in agriculture: A systematic review. Computers and Electronics in Agriculture, 200, 107208. (Citations: 344)

Olaniyi, E. O., Oyedotun, O. K., & Adnan, K. (2015). Heart diseases diagnosis using neural networks arbitration. International Journal of Intelligent Systems and Applications, 7(12), 72. (Citations: 230)

Olaniyi, E. O., Khashman, A. (2014). Onset diabetes diagnosis using artificial neural network. International Journal of Scientific and Engineering Research, 5(10), 754-759. (Citations: 90)

Olaniyi, E. O., Adekunle, A. A., Odekuoye, T., & Khashman, A. (2017). Automatic system for grading banana using GLCM texture feature extraction and neural network arbitrations. Journal of Food Process Engineering, 40(6), e12575. (Citations: 60)

Olaniyi, E. O., Oyedotun, O. K., & Khashman, A. (2017). Intelligent grading system for banana fruit using neural network arbitration. Journal of Food Process Engineering, 40(1), e12335. (Citations: 59)

Ozerdem, O. C., Olaniyi, E. O., & Oyedotun, O. K. (2017). Short term load forecasting using particle swarm optimization neural network. Procedia Computer Science, 120, 382-393. (Citations: 53)

Farzad Bagherzadeh Kasmani | Food Toxicology | Best Researcher Award

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Dr. Farzad Bagherzadeh Kasmani | Food Toxicology | Best Researcher Award

Associate professor at University of Zabol, Iran

Dr. Farzad Bagherzadeh Kasmani is an Associate Professor of Poultry Physiology and Nutrition in the Department of Animal Science at the University of Zabol, Iran. With over two decades of academic and research experience, he is widely recognized for his extensive work on mycotoxin detoxification, poultry health, and sustainable nutrition strategies. Dr. Kasmani is also a seasoned educator, farm manager, and supervisor of numerous graduate research projects.

Publications Profile

Scopus

Orcid

Google Scholar

πŸŽ“ Education Details

  • PhD in Poultry Physiology & Nutrition – Tarbiat Modares University, Tehran, Iran (2008–2012)

  • MSc in Animal Science – University of Guilan, Rasht, Iran (2000–2003)

  • BSc in Animal Production Engineering – University of Kurdistan, Sanandaj, Iran (1998–2000)

  • Associate Degree in Animal Production Technology – Bu-Ali Sina University, Hamedan, Iran (1996–1998)

πŸ‘©β€πŸ”¬ Professional Experience

  • 2016–Present: Associate Professor, University of Zabol

    • Taught postgraduate courses such as Mineral Nutrition and Poultry Metabolic Disorders

  • 2014–Present: Head, Department of Animal Science, University of Zabol

    • Farm Manager (Ostrich, Quail, and Broiler Farms)

    • Supervised 20+ PhD & MSc students (2014–2019)

  • 2012–2016: Assistant Professor, University of Zabol

    • Graduate teaching in Hatchery Management, Organic Poultry Production, and Feed Processing

  • 2004–2007: Lecturer, University of Zabol

    • Undergraduate teaching in Biochemistry, Animal Physiology, and Nutrition

  • 1994–2004: Involved in Agronomy and Horticulture

🌱 Research Interests

  • Natural and safe feed additives for mycotoxin detoxification

  • Organic poultry product development

  • Use of phytogenics and beneficial microbes in green poultry production

  • Designing low-cost and sustainable poultry diets

πŸ† Awards and Honors

  • 2008: First Rank, National PhD Entrance Exam

  • 2014: Best Lecturer, College of Agriculture, University of Zabol

  • 2016 & 2023: Best Researcher, College of Agriculture, University of Zabol

πŸ” Conclusion

Dr. Farzad Bagherzadeh Kasmani stands out as a dedicated academician and researcher in poultry science, particularly in addressing challenges such as aflatoxicosis through innovative feed solutions. His leadership roles, impactful publications, and focus on sustainable agriculture have made significant contributions to both scientific advancement and applied poultry farming practices.

Publications πŸ“š

πŸ“„ Article 1
πŸ”“ Open Access
Title: Methionine mitigates aflatoxicosis in quail chicks by improving gut microbiota, immunity, and meat quality
πŸ‘¨β€πŸ”¬ Authors: Adel A. Ghorbani, Mahmoud M. Ghazaghi, Farzad F. Bagherzadeh Kasmani, Mohammad M. Rokouei, Mehran M. Mehri
πŸ“š Journal: Toxicology Reports
πŸ“… Year: 2025
πŸ“Š Citations: 0
πŸ”— Status: Full text menu is disabled

πŸ“„ Article 2
πŸ”“ Open Access
Title: Calcium requirements in growing Japanese quail from 21 to 35 days post-hatch
πŸ‘¨β€πŸ”¬ Authors: Fahimeh F. Pourmollaei, Mahmoud M. Ghazaghi, Mohammad M. Rokouei, Farzad F. Bagherzadeh Kasmani, Mehran M. Mehri
πŸ“š Journal: Poultry Science
πŸ“… Year: 2025

 

 

 

 

 

 

Hamed Sardari | Food Safety | Best Researcher Award

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Mr. Hamed Sardari | Food Safety | Best Researcher Award

Research Assistant at University of Tehran, Iran

Hamed Sardari is a dedicated researcher with expertise in food quality assessment, agricultural engineering, and food processing. He has made significant contributions to the fields of ultrasound-assisted freezing, machine vision in agriculture, and deep learning for food quality detection. His research has been published in reputable journals and presented at international congresses. With a strong background in mechanical engineering of biosystems, Hamed combines advanced computational techniques with engineering principles to enhance food safety and processing methods.

Publications Profile

Scopus

Orcid

Google Scholar

πŸŽ“ Education Details

  • M.Sc. in Mechanical Engineering of Biosystems, University of Tehran (Sep 2020 – Feb 2023)
    • GPA: 4.0/4.0 (19.58/20)
    • Thesis: Development and Optimization of an Ultrasound-Assisted Freezing System for Meat
    • Supervisors: Dr. Mahmoud Soltani Firouz, Dr. Soleiman Hosseinpour
  • B.Sc. in Mechanical Engineering of Biosystems, Shahid Chamran University of Ahvaz (Sep 2016 – Jul 2020)
    • GPA: 3.41/4.0 (16.48/20)
    • Supervisor: Dr. Abbas Asakereh

πŸ‘©β€πŸ”¬ Professional Experience

  • Research Assistant, University of Tehran (March 2023 – Present)
    • Specialized in laboratory techniques for food safety and agricultural product analysis.
  • Teaching Assistant, University of Tehran (Sep 2021 – April 2022)
    • Courses: Engineering Principles of Processing of Food and Agricultural Materials, Non-Destructive Tests in Agriculture
  • Teaching Assistant, Shahid Chamran University of Ahvaz (Sep 2017 – April 2019)
    • Courses: Computer Programming, Technical Drawings II

🌱 Research Interests

  • Food Quality Assessment
  • Agricultural Engineering
  • Food Processing

πŸ† Awards and Honors

  • Best Oral-Presentation Award, 15th National & 1st International Congress on Mechanical Engineering of Biosystems (Sep 2023)
  • Full-Tuition Waiver for M.Sc., University of Tehran (Sep 2020)
  • Full-Tuition Waiver for B.Sc., Shahid Chamran University of Ahvaz (Sep 2016)

πŸ” Conclusion

Hamed Sardari is an accomplished researcher and engineer with a passion for advancing food processing and agricultural engineering. His expertise in machine learning, deep learning, and mechatronics enhances his ability to develop innovative solutions for food quality assessment and safety. His academic achievements, research contributions, and professional experience reflect his commitment to excellence in biosystems engineering.

Publications πŸ“š

πŸ“„ Ultrasound Assisted Processing of Milk: Advances and Challenges
πŸ“š Journal of Food Process Engineering (June 2023)
πŸ”— DOI: 10.1111/jfpe.14173
πŸ‘₯ Authors: Mahmoud Soltani, Hamed Sardari, Mahsa Soofiabadi, Soleiman Hosseinpour
πŸ†” ISSN: 0145-8876, 1745-4530

πŸ“„ Defect Detection in Fruit and Vegetables by Using Machine Vision Systems and Image Processing
πŸ“š Food Engineering Reviews (September 2022)
πŸ”— DOI: 10.1007/s12393-022-09307-1
πŸ‘₯ Authors: Mahmoud Soltani, Hamed Sardari
πŸ†” ISSN: 1866-7910, 1866-7929

πŸ“„ Power Ultrasound in the Meat Industry (Freezing, Cooking, and Fermentation): Mechanisms, Advances, and Challenges
πŸ“š Ultrasonics Sonochemistry (May 2022)
πŸ”— DOI: 10.1016/j.ultsonch.2022.106027
πŸ‘₯ Authors: Mahmoud Soltani Firouz, Hamed Sardari, Peyman Alikhani Chamgordani, Maryam Behjati
πŸ†” ISSN: 1350-4177

 

 

 

Jieyu ZHANG | Food Safety | Best Researcher Award

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Prof. Jieyu ZHANG | Food Safety | Best Researcher Award

Associate Professor at Sichuan University, China

Dr. Jieyu Zhang is an Associate Professor at the National Engineering Research Center for Biomaterials, Sichuan University. Her research focuses on developing biomaterials for medical applications, including flexible conductive hydrogels for heart failure treatment, wound healing, and pathogen detection. She collaborates with industry leaders to translate scientific advancements into real-world applications, such as continuous glucose monitoring systems and antibacterial materials.

Publications Profile

Orcid

πŸŽ“ Education Details

  • Ph.D. in Integrative Sciences and Engineering, National University of Singapore (2010–2016)

  • Master’s Degree in Materials Science and Engineering, Beijing University of Chemical Technology (2007–2010)

  • Bachelor’s Degree in Polymer Science and Engineering, Beijing University of Chemical Technology (2003–2007)

πŸ‘©β€πŸ”¬ Professional Experience

  • Sichuan University, Chengdu, China

    • Associate Professor (2019–present)

    • Assistant Professor (2017–2019)

  • National University of Singapore, Singapore

    • Research Fellow, Department of Chemical and Biomolecular Engineering (2016–2017)

🌱 Research Interests

  • Biomaterials & Functional Hydrogels – Development of bioengineered materials for medical applications

  • Tissue Engineering & Regenerative Medicine – Engineering conductive hydrogels for cardiac repair and wound healing

  • Pathogen Detection & In Vitro Diagnostics – Development of nanomaterials for bacterial and viral detection

  • Flexible Bioelectronics & Electrical Stimulation – Applications of conductive biomaterials in chronic disease management

πŸ† Awards and Honors

  • Featured as a Journal of Materials Chemistry B Emerging Investigator 2024

  • Achieved NMPA approval for a novel continuous glucose monitoring system

  • Lead researcher in the clinical translation of an electrically conductive wound dressing

πŸ” Conclusion

Dr. Zhang’s contributions to biomaterials science have significantly advanced medical applications, including disease diagnostics, chronic wound healing, and cardiac tissue repair. Her industry collaborations bridge the gap between fundamental research and practical medical solutions, making her work highly impactful in both academic and commercial settings.

Publications πŸ“š

πŸ“„ Antibacterial black phosphorus nanosheets for biomedical applications
πŸ“š Journal of Materials Chemistry B, 2023 | DOI: 10.1039/d3tb00723e

πŸ“„ Biomass-derived 2D carbon materials: structure, fabrication, and application in electrochemical sensors
πŸ“š Journal of Materials Chemistry B, 2023 | DOI: 10.1039/d3tb01910a

πŸ“„ 3D Biomass‐Derived Carbon Materials for Electrochemical Biosensors
πŸ“š Advanced Materials Technologies, 2023 | DOI: 10.1002/admt.202300666

πŸ“„ Conductive hydrogels with hierarchical biofilm inhibition capability accelerate diabetic ulcer healing
πŸ“š Chemical Engineering Journal, 2023 | DOI: 10.1016/j.cej.2023.142457

πŸ“„ Injectable polyaniline nanorods/alginate hydrogel with AAV9-mediated VEGF overexpression for myocardial infarction treatment
πŸ“š Biomaterials, 2023 | DOI: 10.1016/j.biomaterials.2023.122088

πŸ“„ Mussel-inspired bioactive 3D-printable poly(styrene-butadiene-styrene) and the in vitro assessment of its potential as cranioplasty implants
πŸ“š Journal of Materials Chemistry B, 2022 | DOI: 10.1039/d2tb00419d

πŸ“„ Recent advances in implantable hydrogels for treating heart failure
πŸ“š Journal of Applied Polymer Science, 2022 | DOI: 10.1002/app.53156

πŸ“„ Phytic Acid-Promoted rapid fabrication of natural polypeptide coatings for multifunctional applications
πŸ“š Chemical Engineering Journal, 2022 | DOI: 10.1016/j.cej.2022.135917

πŸ“„ Injectable conductive and angiogenic hydrogels for chronic diabetic wound treatment
πŸ“š Journal of Controlled Release, 2022 | DOI: 10.1016/j.jconrel.2022.03.014

πŸ“„ Reusable electrochemical non-enzymatic glucose sensors based on Au-inlaid nanocages
πŸ“š Nano Research, 2022 | DOI: 10.1007/s12274-022-4219-4

πŸ“„ Conductive dual hydrogen bonding hydrogels for the electrical stimulation of infected chronic wounds
πŸ“š Journal of Materials Chemistry B, 2021 | DOI: 10.1039/d1tb01432c

πŸ“„ Intrinsic Antibacterial and Conductive Hydrogels Based on the Distinct Bactericidal Effect of Polyaniline for Infected Chronic Wound Healing
πŸ“š ACS Applied Materials & Interfaces, 2021 | DOI: 10.1021/acsami.1c14088

πŸ“„ Microneedle-mediated vascular endothelial growth factor delivery promotes angiogenesis and functional recovery after stroke
πŸ“š Journal of Controlled Release, 2021 | DOI: 10.1016/j.jconrel.2021.08.057

πŸ“„ Transdermal delivery of peptide and protein drugs: Strategies, advantages and disadvantages
πŸ“š Journal of Drug Delivery Science and Technology, 2020 | DOI: 10.1016/j.jddst.2020.102007

πŸ“„ Highly Stretchable and Conductive Self-Healing Hydrogels for Temperature and Strain Sensing and Chronic Wound Treatment
πŸ“š ACS Applied Materials & Interfaces, 2020 | DOI: 10.1021/acsami.0c08291

πŸ“„ Flexible and self-healing electrochemical hydrogel sensor with high efficiency toward glucose monitoring
πŸ“š Biosensors and Bioelectronics, 2020 | DOI: 10.1016/j.bios.2020.112105

πŸ“„ A synergistic antibacterial effect between terbium ions and reduced graphene oxide in a poly(vinyl alcohol)–alginate hydrogel for treating infected chronic wounds
πŸ“š Journal of Materials Chemistry B, 2019 | DOI: 10.1039/c8tb02679c

πŸ“„ Scaffold with Micro/Macro‐Architecture for Myocardial Alignment Engineering into Complex 3D Cell Patterns
πŸ“š Advanced Healthcare Materials, 2019 | DOI: 10.1002/adhm.201901015

πŸ“„ Bio-responsive smart polymers and biomedical applications
πŸ“š Journal of Physics: Materials, 2019 | DOI: 10.1088/2515-7639/ab1af5

πŸ“„ Deposition of catechol-functionalized chitosan and silver nanoparticles on biomedical titanium surfaces for antibacterial application
πŸ“š Materials Science and Engineering: C, 2019 | DOI: 10.1016/j.msec.2019.01.019

πŸ“„ In-situ doping of a conductive hydrogel with low protein absorption and bacterial adhesion for electrical stimulation of chronic wounds
πŸ“š Acta Biomaterialia, 2019 | DOI: 10.1016/j.actbio.2019.03.018

Ming-li Chen | Food Safety | Women Researcher Award

Posted on by Food Scientist

Ms. Ming-li Chen | Food Safety | Women Researcher AwardΒ 

professor at Northeastern University, China

Ming-li Chen, Ph.D., is a professor and doctoral supervisor at Northeastern University of China. She serves as the director of the Analysis and Testing Centre and has been recognized in the “Million Talents Project” of Liaoning Province. With extensive experience in spectroscopy detection and mass spectrometry, her research primarily focuses on sample pretreatment and single-cell analysis. She has led multiple national research projects, published over 100 SCI-indexed papers, and holds seven patents. Her expertise and contributions have significantly advanced analytical chemistry and spectroscopy-based research methodologies.

Publications Profile

Scopus

Orcid

πŸŽ“ Education Details

  • Ph.D. in Analytical Chemistry, Northeastern University, China
  • Public Visiting Scholar, University of Texas at Arlington, USA (2011-2012)
  • Public Visiting Scholar, Lund University, Sweden (2023-2024)

πŸ‘©β€πŸ”¬ Professional Experience

  • Professor, Northeastern University, China
  • Director, Analysis and Testing Centre, Northeastern University
  • Editorial Board Member, Atomic Spectroscopy
  • Editorial Board Member, Chinese Chemical Letters
  • Editorial Board Member, Spectroscopy and Spectral Analysis
  • Consultant for major national research and innovation projects

🌱 Research Interests

  • Sample pretreatment theory
  • Spectroscopy detection technology
  • Spectroscopy and mass spectrometry in single-cell analysis
  • Element and morphology interaction in cellular environments
  • Exosome and vesicle separation and analysis

πŸ† Awards and Honors

  • “Million Talents Project” awardee, Liaoning Province
  • Principal Investigator of four National Natural Science Foundation of China (NSFC) projects
  • H-index: 16, with over 100 SCI-included research papers
  • Recognized expert in spectroscopy-based analytical chemistry

πŸ” Conclusion

Ming-li Chen is a distinguished researcher dedicated to advancing analytical chemistry, particularly in spectroscopy and single-cell analysis. Her extensive academic contributions, leadership in multiple national research initiatives, and editorial roles in high-impact journals underscore her expertise. Through groundbreaking research in spectroscopy detection and mass spectrometry applications, she has significantly influenced analytical methodologies. Her work continues to pave the way for innovations in single-cell analysis and metal component detection, making a lasting impact on scientific advancements and quality control in food safety and related fields.

Publications πŸ“š

πŸ“„ Article
🧬 Dual-Mode Tumor Diagnosis and Guided Precise Photodynamic Therapy Based on MicroRNA Fluorescence Signal Amplification and Magnetic Resonance Imaging
X. Zhang, Xinyue, J. Cui, Jiasen, M. Chen, Mingli, J. Wang, Jianhua
πŸ“š ACS Applied Materials and Interfaces, 2025

πŸ“„ Article
πŸ”¬ Ratio Type Nanoprobe with Boric Acid as Recognition Unit for Imaging Intracellular Hβ‚‚Oβ‚‚ with SERS
Y. Tian, Yizhuo, Y. Wei, Yujia, M. Zhang, Mingyu, M. Chen, Mingli, J. Wang, Jianhua
πŸ“š Talanta, 2025

πŸ“„ Article
🍏 Multifunctional Surface Enhanced Raman Scattering Substrate Fe₃Oβ‚„@AgNPs@MIL-101 for Pretreatment and Rapid Detection of Pesticide Residues on the Surface of Fruit Peels
M. Zhang, Mingyu, Y. Tian, Yizhuo, S. Liu, Sijia, X. Wang, Xinli, M. Chen, Mingli
πŸ“š Luminescence, 2025

πŸ“„ Article
πŸ’§ On-Site Determination of Aquatic Arsenic Using Hydride Generation Combined with Portable Absorbance Detector
L. Tang, Liming, Y. Tian, Yong, M. Chen, Mingli, C. Phillip Shelor, C.
πŸ“š Microchemical Journal, 2025

πŸ“„ Article
πŸ§ͺ Lanthanide-Assisted Function Tailoring of the HOF-Based Logic Gate Sensor Array for Biothiol Detection and Disease Discrimination
H. Li, Haiyan, X. Wang, Xin, Y. Chen, Yafei, J. Wang, Jianhua, M. Chen, Mingli
πŸ“š Analytical Chemistry, 2025

πŸ“„ Article
πŸ€– Machine Learning-Assisted Cell Identification Based on Ion Current Fingerprints of Single Cells at the Orifice of a Nanopipette
T. Gao, Tienan, X. He, Xiulan, Y. Xue, Yifei, P. Yu, Ping, L. Mao, Lanqun
πŸ“š CCS Chemistry, 2025

πŸ“„ Review
🧫 Strategies and Applications of Single Cell Proteomics Analysis Based on Mass Spectrometry
G. Li, Guoxing, X. Wei, Xing, M. Chen, Mingli, J. Wang, Jianhua
πŸ“š Journal of Instrumental Analysis, 2025

πŸ“„ Article
πŸ§‘β€βš•οΈ Speciation of Selenium-Containing Small Molecules in Urine and Cell Lysate by CE-ICPMS with In-Capillary Enrichment
Y. Lu, Yi, X. Men, Xue, C.X. Wu, Chengxin Xing, M. Chen, Mingli, J. Wang, Jianhua
πŸ“š Talanta, 2025

πŸ“„ Article
🦠 Inertial and Deterministic Lateral Displacement Integrated Microfluidic Chips for Epithelial-Mesenchymal Transition Analysis
Y. Zhao, Yanan, X. Zhang, Xuan, J. Bai, Junjie, M. Chen, Mingli, J. Wang, Jianhua
πŸ“š Analytical Chemistry, 2024