Hamed Sardari | Food Safety | Best Researcher Award

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

🎓 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

👩‍🔬 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

🏆 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)

🔍 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 📚

📄 Ultrasound Assisted Processing of Milk: Advances and Challenges
📚 Journal of Food Process Engineering (June 2023)
🔗 DOI: 10.1111/jfpe.14173
👥 Authors: Mahmoud Soltani, Hamed Sardari, Mahsa Soofiabadi, Soleiman Hosseinpour
🆔 ISSN: 0145-8876, 1745-4530


📄 Defect Detection in Fruit and Vegetables by Using Machine Vision Systems and Image Processing
📚 Food Engineering Reviews (September 2022)
🔗 DOI: 10.1007/s12393-022-09307-1
👥 Authors: Mahmoud Soltani, Hamed Sardari
🆔 ISSN: 1866-7910, 1866-7929


📄 Power Ultrasound in the Meat Industry (Freezing, Cooking, and Fermentation): Mechanisms, Advances, and Challenges
📚 Ultrasonics Sonochemistry (May 2022)
🔗 DOI: 10.1016/j.ultsonch.2022.106027
👥 Authors: Mahmoud Soltani Firouz, Hamed Sardari, Peyman Alikhani Chamgordani, Maryam Behjati
🆔 ISSN: 1350-4177


 

 

 

Jieyu ZHANG | Food Safety | Best Researcher Award

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

🎓 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)

👩‍🔬 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

🏆 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

🔍 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 📚

📄 Antibacterial black phosphorus nanosheets for biomedical applications
📚 Journal of Materials Chemistry B, 2023 | DOI: 10.1039/d3tb00723e


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


📄 3D Biomass‐Derived Carbon Materials for Electrochemical Biosensors
📚 Advanced Materials Technologies, 2023 | DOI: 10.1002/admt.202300666


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


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


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


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


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


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


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


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


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


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


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


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


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


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


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


📄 Bio-responsive smart polymers and biomedical applications
📚 Journal of Physics: Materials, 2019 | DOI: 10.1088/2515-7639/ab1af5


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


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


Ming-li Chen | Food Safety | Women Researcher Award

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

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

🎓 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)

👩‍🔬 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

🏆 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

🔍 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 📚

📄 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
📚 ACS Applied Materials and Interfaces, 2025


📄 Article
🔬 Ratio Type Nanoprobe with Boric Acid as Recognition Unit for Imaging Intracellular H₂O₂ with SERS
Y. Tian, Yizhuo, Y. Wei, Yujia, M. Zhang, Mingyu, M. Chen, Mingli, J. Wang, Jianhua
📚 Talanta, 2025


📄 Article
🍏 Multifunctional Surface Enhanced Raman Scattering Substrate Fe₃O₄@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
📚 Luminescence, 2025


📄 Article
💧 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.
📚 Microchemical Journal, 2025


📄 Article
🧪 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
📚 Analytical Chemistry, 2025


📄 Article
🤖 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
📚 CCS Chemistry, 2025


📄 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
📚 Journal of Instrumental Analysis, 2025


📄 Article
🧑‍⚕️ 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
📚 Talanta, 2025


📄 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
📚 Analytical Chemistry, 2024


 

 

 

 

Michele Suman | Food Safety | Outstanding Scientist Award

Michele Suman | Food Safety | Outstanding Scientist Award

Prof. Michele Suman , Barilla S.P.A, Italy .

Dr. Michele Suman, Ph.D. 🎓 is a distinguished Food Safety & Authenticity Research specialist with over 20 years of expertise in analytical and food chemistry. As the Food Safety & Authenticity Research Manager at Barilla Spa 🍞, he spearheads innovative projects on contaminants, authenticity markers, and advanced detection techniques. A professor at Catholic University Sacred Heart 📚, he contributes to academic research and industrial advancements. His work integrates mass spectrometry, chemometrics, and AI 🤖, fostering global scientific collaborations. A thought leader in food safety, he serves on international committees, driving impactful research and regulatory advancements for a safer, more authentic food system 🌍.

Publication Profile

Googlescholar

Education & Experience 📚💼

Education:

  • Ph.D. in Science and Technology of Innovative Materials – University of Parma 🎓
  • Master’s in Science, Technology, and Management – University of Ferrara 📖
  • Analytical Chemistry Degree – University of Ferrara 🧪

Experience:

  • Barilla Spa 🍞 (2003–Present) – Food Safety & Authenticity Research Manager
  • Catholic University Sacred Heart 📚 (2020–Present) – Professor of AgriFood Authenticity
  • Visiting Professor ✈️ – University of Chemistry & Technology of Prague
  • Industrial & Academic Research 🔬 – Various universities and research institutions across Europe
  • Scientific Committees & Advisory Roles 🏛 – EU-funded projects, international regulatory bodies, and scientific journals

Summary Suitability For Outstanding Scientist Award

Dr. Michele Suman, Ph.D., is an accomplished scientist specializing in  food safety, authenticity, and analytical chemistry, with over 20 years of pioneering research. As Food Safety & Authenticity Research Manager at Barilla Spa, he has significantly advanced contaminants detection, food authenticity, and sustainable processing methods. His leadership in European-funded projects and collaborations has driven innovation in mass spectrometry and rapid screening technologies. A dedicated professor and mentor, he bridges academia and industry to enhance global food integrity. His outstanding scientific contributions, strategic impact, and commitment to excellence make him a deserving recipient of the Outstanding Scientist Award.

Professional Development

Dr. Michele Suman is a leading innovator in food safety research, specializing in contaminants detection, authenticity markers, and analytical advancements 🔬. With extensive expertise in mass spectrometry, chemometrics, and AI-driven methodologies 🤖, he pioneers cutting-edge solutions in food science. A passionate mentor and educator 📚, he trains the next generation of scientists while fostering academia-industry partnerships 🤝. He actively leads and participates in global food safety initiatives 🌍, serving on high-impact scientific committees and regulatory boards. His dedication to open innovation and strategic partnerships ensures continuous advancements in food authenticity, sustainability, and consumer protection 🏆.

Research Focus 

Dr. Michele Suman’s research focuses on food safety, authenticity, and sustainability 🔬🌱. His expertise spans contaminants detection, food fraud prevention, and the development of advanced analytical techniques, including mass spectrometry and rapid screening technologies 🧪. He investigates food contact materials, packaging safety, and the impact of processing on food authenticity 🏭. A leader in European food safety projects 🇪🇺, he collaborates with public and private stakeholders to drive regulatory improvements and innovative detection methods. His work integrates artificial intelligence 🤖 and chemometrics to enhance food traceability, ensuring a safer, transparent, and high-quality food supply chain 🍽️.

Awards & Honors 🏆🎖

  • First Prize for Young Researchers 🥇 – National Prize for Chemistry, Federchimica Italia (1998)
  • Best Research Presentation Award 🎤 – VII Sensors & Microsystems National Congress (2002)
  • Best Research Award 🏅 – 3rd Parma NanoDay Conference (2017)
  • Best Research Presentation Award 📢 – Food Integrity International Conference (2018)
  • Young Researchers Award 🏆 – Italian Chemical Society – Mass Spectrometry Division (2020)
  • Co-recipient of Best Research Work Award 🔬 – Italian Chemical Society (2020)

Publication top Noted

  • “Impact of food processing and detoxification treatments on mycotoxin contamination”Cited by 770 (2016) 🧪📖
  • “Ion mobility spectrometry coupled to gas chromatography: A rapid tool to assess eggs freshness”Cited by 176 (2019) 🥚⚡
  • “The scientific challenges in moving from targeted to non-targeted mass spectrometric methods for food fraud analysis: A proposed validation workflow to bring about a harmonized …”Cited by 136 (2018) 🔍💡
  • “Mitigation strategies of furan and 5-hydroxymethylfurfural in food”Cited by 134 (2013) 🍞🔥
  • “Application of a liquid chromatography tandem mass spectrometry method to the analysis of water-soluble vitamins in Italian pasta”Cited by 127 (2005) 🍝🧪
  • “Acrylamide removal from heated foods”Cited by 103 (2010) 🚫🔥
  • “Fate of Fusarium mycotoxins in the cereal product supply chain: the deoxynivalenol (DON) case within industrial bread-making technology”Cited by 101 (2010) 🌾🥖

Woubit Abebe | Food Safety | Best Researcher Award

Dr. Woubit Abebe | Food Safety | Best Researcher Award

Professor, Tuskegee University, United States

Dr. Woubit Abebe (formerly Abdela) is a distinguished researcher and academic leader with extensive expertise in microbiology, food safety, and veterinary sciences. She earned her DVM from Addis Ababa University, Ethiopia, and pursued advanced studies in France, obtaining a Ph.D. and MSc from the National Polytechnic Institute of Toulouse. Dr. Abebe currently serves as the Director of the Center for Food Animal Health, Food Safety, and Food Defense at Tuskegee University. She has published extensively in peer-reviewed journals, focusing on innovative pathogen detection, antimicrobial resistance, and molecular epidemiology. Her research bridges academia and industry, addressing pressing global food safety challenges. In addition to her scientific achievements, Dr. Abebe contributes significantly to academic governance, mentoring, and interdisciplinary collaborations. Her work has earned her membership in esteemed organizations such as the American Society of Microbiology and the Alabama Academy of Science, cementing her reputation as a leader in her field.

Profile

Scopus

Education

Dr. Abebe’s educational journey reflects her dedication to advancing science and public health. She earned her Doctor of Veterinary Medicine (DVM) from Addis Ababa University, Ethiopia (1994–2000), where she developed her foundational expertise in animal health and pathology. Dr. Abebe furthered her academic pursuits in France, earning a Diploma in French Language from the Paul Valéry University of Montpellier (2002–2003), enabling her to seamlessly integrate into French academia. She subsequently completed an MSc (DRU) and Ph.D. in microbiology and food safety at the National Polytechnic Institute of Toulouse (2002–2008). Her doctoral research focused on innovative approaches to pathogen detection and foodborne disease prevention. This robust academic foundation, spanning veterinary medicine, microbiology, and food safety, equips Dr. Abebe with a multidisciplinary perspective crucial for addressing global health and agricultural challenges. Her education underscores her commitment to excellence and her passion for bridging science and practical applications.

Research Focus 

Dr. Woubit Abebe’s research centers on addressing critical challenges in microbiology, food safety, and veterinary sciences. Her primary focus is on developing innovative tools for rapid pathogen detection, improving food safety, and combating antimicrobial resistance. She has contributed extensively to understanding the molecular epidemiology of foodborne pathogens, such as Salmonella, Escherichia coli, and Listeria monocytogenes, particularly along the food production chain. Additionally, her work extends to analyzing phylogenetic relationships and resistance profiles of zoonotic bacteria and viruses, enhancing public health strategies. As the Director of the Center for Food Animal Health, Food Safety, and Food Defense at Tuskegee University, she leads interdisciplinary efforts to improve food safety protocols and promote global food security. Her groundbreaking research bridges academia and industry, aiming to develop cost-effective, practical solutions for pathogen monitoring and control, contributing to safer food systems worldwide.

Publications 

  1. 🌟 Gold Nanoparticle-Based Plasmonic Detection of Pathogens from Bovine Fecal Samples (2024)
  2. 🧬 Whole-Genome Sequencing of Salmonella Serotypes in Broiler Production (2023)
  3. 🐾 Resistance and Virulence Genes in Diarrheic Dog E. coli Isolates (2023)
  4. 🔬 Phylogenetic Analyses of Salmonella in Broiler Production Chains (2023)
  5. 🥛 Food Safety Challenges in Dairy Production in Senegal (2023)
  6. Developing Tools for Rapid Pathogen Detection (2023)
  7. 🦠 Molecular Phylogeny of Coronaviruses in Domestic and Contact Animals (2022)
  8. 🍗 Molecular Characterization of Salmonella in Broiler Chains (2022)
  9. 🥚 Salmonella in Imported Hatching Eggs and Broiler Farms in Trinidad (2022)
  10. 🌱 Effects of Hempseed Meal on Growing Meat Goats’ Performance (2021)

Qing Liang | Food Safety and Quality Control | Best Researcher Award

Ms. Qing Liang | Food Safety and Quality Control | Best Researcher Award

College of Mechanical and Electrical Engineering at College of Mechanical and Electrical Engineering, China

Qing Liang is a graduate student in Mechanical Engineering with a strong focus on food safety and quality control. His research combines non-destructive testing methods, such as dielectric spectroscopy, with machine learning to address challenges in food quality, particularly within the dairy industry. Liang has contributed to several publications in well-regarded journals, demonstrating his expertise and commitment to advancing food science. With a passion for innovation, he is working towards bridging the gap between mechanical engineering and food safety. Liang’s ongoing research positions him as a promising young researcher in the fields of engineering and food technology.

Professional Profile

Education

Qing Liang is currently pursuing a postgraduate degree in Mechanical Engineering, graduating in the class of 2023. His academic journey has been marked by a strong foundation in engineering principles, alongside specialized focus areas such as non-destructive testing and machine learning applications in food safety and quality control. Liang’s academic training has equipped him with advanced problem-solving skills, research methodologies, and a deep understanding of both mechanical engineering and food science. His rigorous coursework and research have allowed him to contribute to innovative solutions in food safety, further solidifying his expertise in the intersection of engineering and food technology.

Professional Experience

Qing Liang currently works as a graduate student researcher at the Xinjiang Production and Construction Corps Key Laboratory of Utilization and Equipment of Special Agricultural and Forestry Products in Southern Xinjiang, China. In this role, he focuses on developing and testing innovative solutions for food safety and quality control, particularly within the dairy industry. His professional experience spans non-destructive testing, machine learning, and food safety methodologies. Qing has contributed to various projects that explore advanced techniques like dielectric spectroscopy to improve the quality and safety of agricultural products. Through his research, he actively bridges mechanical engineering and food science to address industry challenges.

Research Interests

Qing Liang’s research interests lie at the intersection of mechanical engineering, food safety, and machine learning. He focuses on applying non-destructive testing methods, such as dielectric spectroscopy, to enhance food quality control and safety, particularly in dairy products. His work explores innovative approaches to detecting adulteration, protein content, and other key factors influencing food safety. Liang is also passionate about integrating machine learning techniques with traditional testing methods to improve accuracy and efficiency in food quality assessment. By combining engineering principles with food science, his research aims to develop sustainable solutions that address current challenges in food safety and quality control.

Awards and Honors

Although Qing Liang is still early in his career, his research has already earned recognition in academic circles. He has authored multiple research papers in high-impact journals, such as the Journal of Food Science and Foods, focusing on innovative methods for food safety and quality control. Liang’s work has garnered citations, reflecting its growing influence in the field. His contributions to advancing non-destructive testing and machine learning applications in food science showcase his potential for future awards and honors. As a promising researcher, Liang’s continuous commitment to innovation positions him for further accolades in his field.

Conclusion

While LiangQing has demonstrated promise as an emerging researcher with a focus on innovative topics, they may currently lack the breadth and depth of achievements typically expected for the Best Researcher Award. Strengthening their profile with completed high-impact research, industry collaborations, and leadership roles in the scientific community would make them a stronger contender for future awards.

Publications Top Noted

  • Non-destructive detection of water adulteration level in fresh milk based on combination of dielectric spectrum technology and machine learning method
    • Authors: Liang, Q., Liu, Y., Zhang, H., Xia, Y., Li, S.
    • Journal: Journal of Food Composition and Analysis
    • Year: 2024
    • Volume: 136
    • Article Number: 106807
    • Citations: 0
  • The Study on Nondestructive Detection Methods for Internal Quality of Korla Fragrant Pears Based on Near-Infrared Spectroscopy and Machine Learning
    • Authors: Che, J., Liang, Q., Xia, Y., Zhang, H., Lan, H.
    • Journal: Foods
    • Year: 2024
    • Volume: 13(21)
    • Article Number: 3522
    • Citations: 3
  • Dielectric spectroscopy technology combined with machine learning methods for nondestructive detection of protein content in fresh milk
    • Authors: Liang, Q., Liu, Y., Zhang, H., Che, J., Guo, J.
    • Journal: Journal of Food Science
    • Year: 2024
    • Volume: 89(11)
    • Pages: 7791–7802
    • Citations: 0
  • Non-Destructive Testing of the Internal Quality of Korla Fragrant Pears Based on Dielectric Properties
    • Authors: Tang, Y., Zhang, H., Liang, Q., Che, J., Liu, Y.
    • Journal: Horticulturae
    • Year: 2024
    • Volume: 10(6)
    • Article Number: 572
    • Citations: 1