Muhammad Asad Khan | Food Waste Management | Innovative Research Award

Posted on by Food Scientist

Innovative Research Award

Muhammad Asad Khan
Affiliation University of Campania Luigi Vanvitelli
Country Italy
Scopus ID 57204135324
Documents 25
Citations 422
h-index 10
Subject Area Food Waste Management and Reduction
Event International Food Scientist Awards
ORCID 0000-0002-1264-970X

Muhammad Asad Khan

University of Campania Luigi Vanvitelli, Italy

Muhammad Asad Khan is affiliated with the University of Campania Luigi Vanvitelli, Italy, where his scholarly activities contribute to interdisciplinary research involving food waste management, analytical technologies, spectroscopy, environmental monitoring, and materials characterization. His publication record, citation performance, and sustained research productivity demonstrate consistent engagement with scientific innovation and international collaboration.[1]

Abstract

Muhammad Asad Khan has established an interdisciplinary research portfolio integrating food waste management with advanced analytical science, laser spectroscopy, optical diagnostics, environmental monitoring, and material characterization. His investigations employ modern spectroscopic methods to improve contaminant detection, evaluate industrial waste streams, and support sustainable resource utilization. With 25 indexed publications, 422 citations, and an h-index of 10, his work reflects measurable scientific influence and continued international collaboration.[1]

Keywords

Food Waste Management, LIBS, Laser Spectroscopy, Heavy Metals, Surface Analysis, Optical Diagnostics, Environmental Monitoring, Sustainable Research.

Introduction

Current scientific challenges demand innovative analytical techniques capable of supporting environmental sustainability and food-system resilience. Khan’s research addresses these priorities through advanced spectroscopy and analytical methodologies that improve material characterization and waste evaluation. His work demonstrates how precision optical technologies can contribute to industrial sustainability and scientific understanding.[2]

Research Profile

  • Scopus Author ID: 57204135324
  • Documents: 25
  • Citations: 422
  • h-index: 10
  • Primary specialization: Food Waste Management and Reduction

Research Contributions

His contributions include laser-induced breakdown spectroscopy for heavy metal assessment, cavity ring-down spectroscopy, photoluminescence investigations of nanodiamonds, plasma diagnostics, and laser-material interactions. These studies advance analytical accuracy while supporting environmental monitoring, industrial quality assessment, and sustainable scientific applications.[3]

Publications

  • Photoluminescence of Colloidal Nanodiamonds: Role of Surface States in Multicolor Emission (2026). DOI: 10.1002/sia.70074
  • Application of LIBS in Identifying and Quantifying Heavy Metals in Industrial Plastic-Waste Streams in Asia (2026). DOI: 10.3390/photonics13080709
  • Cavity Ring-Down Spectroscopy at 2-μm Wavelength Assisted by a Comb-Locked Optical Parametric Oscillator (2025). DOI: 10.1364/OL.563855
  • Microstructural and Plasma Characteristics of Mg Alloy Irradiated by 1064 nm Nd:YAG Laser (2025). DOI: 10.1140/epjd/s10053-025-00985-0

Research Impact

Citation indicators and publication quality demonstrate sustained academic influence. His research bridges analytical chemistry, optics, environmental science, and food sustainability while encouraging interdisciplinary collaboration and technological advancement.[1]

Award Suitability

Based on publication quality, measurable citation performance, interdisciplinary innovation, and international research activities, Muhammad Asad Khan demonstrates qualifications consistent with consideration for the Innovative Research Award presented through the International Food Scientist Awards.

Conclusion

The research achievements summarized in this profile illustrate continued contributions to sustainable analytical science, spectroscopy, and environmental applications. His growing publication record and interdisciplinary expertise support continued scientific recognition.

External Links

References

  1. Elsevier. Scopus Author Details: Muhammad Asad Khan, Author ID 57204135324.
    https://www.scopus.com/authid/detail.uri?authorId=57204135324
  2. Khan MA et al. Photoluminescence of Colloidal Nanodiamonds. Surface and Interface Analysis (2026). https://doi.org/10.1002/sia.70074
  3. Khan MA et al. Application of LIBS in Identifying Heavy Metals in Industrial Plastic-Waste Streams. Photonics (2026).
    https://doi.org/10.3390/photonics13080709
  4. Khan MA et al. Cavity Ring-Down Spectroscopy at 2-μm Wavelength. Optics Letters (2025).
    https://doi.org/10.1364/OL.563855
  5. Khan MA et al. Microstructural and Plasma Characteristics of Mg Alloy. European Physical Journal D (2025). https://doi.org/10.1140/epjd/s10053-025-00985-0

Md Salahuddin | Sustainable Food Systems | Innovative Research Award

Posted on by Food Scientist

Innovative Research Award

Md Salahuddin
Prairie View A&M University, United States

Md Salahuddin
Affiliation Prairie View A&M University
Country United States
Scopus ID 57195280613
Documents 28
Citations 240
h-index 8
Subject Area Sustainable Food Systems and Agriculture
Event International Food Scientist Awards
ORCID 0000-0003-0268-1084

Md Salahuddin is affiliated with Prairie View A&M University, United States, and conducts research in sustainable food systems, agricultural sciences, animal nutrition, gut health, microbiome interactions, and emerging technologies supporting resilient food production. His scholarly publications demonstrate interdisciplinary contributions that integrate nutritional sciences, precision agriculture, intestinal health, artificial intelligence, and sustainability. The research profile summarized in this article is presented in a neutral academic style based on publicly available scholarly information and representative publications.[1]

Abstract

This article summarizes the academic profile of Md Salahuddin with emphasis on sustainable food systems, animal nutrition, intestinal physiology, microbiome science, and artificial intelligence applications in agriculture. His research integrates nutritional interventions, gastrointestinal health, livestock productivity, and climate-resilient agricultural technologies to improve food production systems while supporting sustainability objectives. The overview highlights representative publications, research metrics, and scholarly contributions that demonstrate interdisciplinary engagement within agricultural and food sciences.[1]

Keywords

Sustainable Agriculture, Food Systems, Animal Nutrition, Gut Microbiome, Layer Chick Nutrition, Artificial Intelligence, Climate Resilience, Food Science

Introduction

Modern food science increasingly combines biological sciences, nutritional research, computational technologies, and sustainable production strategies. Md Salahuddin’s research aligns with these priorities by investigating dietary interventions, intestinal health, microbiome modulation, and innovative agricultural technologies capable of improving productivity while addressing environmental challenges. His work reflects interdisciplinary collaboration across food science, veterinary nutrition, agriculture, and data-driven production systems.[2]

Research Profile

  • Affiliation: Prairie View A&M University
  • Research Area: Sustainable Food Systems and Agriculture
  • Scopus Author ID: 57195280613
  • Documents Indexed: 28
  • Total Citations: 240
  • h-index: 8

Research Contributions

Representative research contributions include investigations into dietary mushroom-derived functional ingredients, antioxidant compounds affecting metabolic disorders, gut microbiome remodeling, intestinal barrier biology, and artificial intelligence applications supporting climate-resilient livestock production. Collectively, these studies contribute to evidence-based nutritional management and sustainable agricultural innovation while promoting animal health and food security.[2][3]

Publications

  1. Dietary Brown Mushroom Stem Powder Modulates Ileal Morphology and Barrier-Related Gene Expression in Layer Chicks.
    Animals, 21 July 2026. DOI: 10.3390/ani16142254
  2. Zeaxanthin Modulates Early Metabolic and Inflammatory Responses in db/db Mice: Associations with Intestinal Lipid Handling and Gut Microbiome Remodeling. Biomolecules, 1 June 2026. DOI: 10.3390/biom16060818
  3. Artificial Intelligence Applications in Animal Production Systems for Climate Resilience and Sustainability: A Comprehensive Review.
    Agriculture, 23 May 2026. DOI: 10.3390/agriculture16111146

Research Impact

The available bibliometric indicators demonstrate an established research presence with 28 indexed publications, 240 citations, and an h-index of 8. These metrics indicate continuing scholarly influence within sustainable agriculture, food systems, animal nutrition, and interdisciplinary food science research while reflecting active participation in internationally indexed scientific literature.[1]

Award Suitability

Based on the documented research profile, publication record, and interdisciplinary focus, Md Salahuddin demonstrates scholarly activity relevant to recognition within food science and sustainable agriculture. His research encompasses nutritional innovation, microbiome science, livestock production, and artificial intelligence for sustainable agriculture, aligning with themes promoted by the International Food Scientist Awards. This section represents an academic assessment based solely on publicly available scholarly information and should not be interpreted as an official award decision.[4]

Conclusion

Md Salahuddin’s scholarly profile illustrates contributions to sustainable food systems through research on nutrition, intestinal health, microbiome interactions, precision agriculture, and climate-resilient production technologies. His interdisciplinary publications support ongoing developments in food science while addressing practical challenges related to sustainable agriculture and animal production.[1]

References

  1. Elsevier. (n.d.). Scopus Author Details: Md Salahuddin, Author ID 57195280613.
    https://www.scopus.com/authid/detail.uri?authorId=57195280613
  2. Salahuddin, M., et al. (2026). Dietary Brown Mushroom Stem Powder Modulates Ileal Morphology and Barrier-Related Gene Expression in Layer Chicks. Animals. DOI: https://doi.org/10.3390/ani16142254
  3. Salahuddin, M., et al. (2026). Zeaxanthin Modulates Early Metabolic and Inflammatory Responses in db/db Mice. Biomolecules.
    DOI: https://doi.org/10.3390/biom16060818
  4. Salahuddin, M., et al. (2026). Artificial Intelligence Applications in Animal Production Systems for Climate Resilience and Sustainability. Agriculture.
    DOI: https://doi.org/10.3390/agriculture16111146

Hye-Won Jung | Food Safety | Innovative Research Award

Posted on by Food Scientist

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

Posted on by Food Scientist

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

Pramir Maharjan | Sustainable Food Systems | Innovative Research Award

Posted on by Food Scientist

Innovative Research Award

Pramir Maharjan
Texas A & M AgriLife Research, United States

Pramir Maharjan
Affiliation Texas A & M AgriLife Research
Country United States
Scopus ID 56884501500
Documents 40
Citations 536
h-index 13
Subject Area Sustainable Food Systems and Agriculture
Event International Food Scientist Awards

Pramir Maharjan is a poultry scientist and veterinary professional whose research portfolio integrates poultry nutrition, flock health management, water sanitation systems, nutrient digestibility, physiology, and sustainable poultry production systems. His work spans laboratory investigations, applied field studies, producer education programs, and industry collaborations focused on advancing poultry productivity and animal health outcomes.[1]

Abstract

Pramir Maharjan has developed an interdisciplinary research program focused on poultry nutrition, nutrient metabolism, drinking water sanitation, poultry physiology, feed efficiency, and sustainable flock management. His work combines applied nutrition science with production management strategies to improve poultry health and productivity across commercial and small-scale systems. His scholarly contributions include peer-reviewed publications, competitive grant leadership exceeding multi-million-dollar research portfolios, student mentorship, and extension-based producer education initiatives.[2]

Keywords

Poultry Nutrition; Broiler Production; Poultry Water Quality; Poultry Health; Nutrient Digestibility; Poultry Physiology; Layer Hen Nutrition; Poultry Extension; Stable Isotope Research; Poultry Management

Introduction

Dr. Maharjan earned his Doctor of Philosophy in Poultry Science from the University of Arkansas following advanced graduate training in poultry water sanitation systems and nutrient utilization research. His professional appointments include leadership roles at Tennessee State University, North Carolina State University, and Texas A&M AgriLife Research, where he developed research programs integrating poultry production efficiency with animal health optimization.[3]

Research Profile

  • Poultry nutrition and feed digestibility optimization
  • Stable isotope applications in protein and lipid metabolism studies
  • Poultry drinking water quality assessment and sanitation protocols
  • Broiler physiology and woody breast myopathy investigations
  • Extension programming supporting producer education and flock management

Research Contributions

Dr. Maharjan has contributed extensively to poultry science through investigations into nutrient metabolism, digestibility assays, poultry water sanitation systems, dietary amino acid optimization, poultry physiology, biofilm sanitation procedures, and poultry production sustainability. His research additionally includes emerging technology applications such as drone-assisted pasture rotation and precision poultry production strategies.[4]

Publications

Selected peer-reviewed publications include studies published in Poultry Science, Animal, Journal of Applied Poultry Research, Agronomy, and Frontiers in Veterinary Science. His publication record demonstrates sustained productivity across poultry physiology, water sanitation systems, nutrient digestibility, and flock management research domains.[5]

Research Impact

Beyond laboratory research, Dr. Maharjan has secured competitive funding as principal investigator and collaborator while mentoring graduate students and leading extension programming initiatives. His programs support producer training, sustainable poultry practices, poultry biosecurity awareness, and practical knowledge dissemination to agricultural communities.

Award Suitability

The candidate demonstrates alignment with research excellence recognition through peer-reviewed scholarly productivity, grant leadership, graduate mentorship, interdisciplinary collaboration, and translational research outcomes connecting laboratory science with poultry production systems.

Conclusion

Pramir Maharjan has established a research portfolio integrating poultry nutrition science, flock management, water quality systems, and sustainable poultry production approaches. His contributions demonstrate scholarly engagement, applied agricultural impact, and commitment to advancing poultry science research and extension activities.

References

  1. Maharjan P., Huff G., Zhang W., Watkins S. (2017). Effects of chlorine and hydrogen peroxide sanitation in low bacterial content water on biofilm formation model of poultry brooding house waterlines. Poultry Science.https://doi.org/10.3382/ps/pex043
  2. Maharjan P., et al. (2021). Physiological growth trend of current meat broilers and dietary protein and energy management approaches for sustainable broiler production. Animal.https://doi.org/10.1016/j.animal.2021.100284
  3. Maharjan P., et al. (2021). Woody breast myopathy broiler shows age-dependent adaptive differential gene expression. Poultry Science.https://doi.org/10.1016/j.psj.2021.101092
  4. Raut R., Maharjan P., Fouladkhah A.C. (2023). Practical preventive considerations for reducing the public health burden of poultry-related salmonellosis. International Journal of Environmental Research and Public Health.https://doi.org/10.3390/ijerph20176654
  5. Toomer O.T., Maharjan P., et al. (2023). Current agronomic practices, harvest and post-harvest processing of soybeans (Glycine max). Agronomy.https://doi.org/10.3390/agronomy13020427

Santiago Adolfo Vio | Sustainable Food Systems and Agriculture | Editorial Board Member

Posted on by Food Scientist

Dr. Santiago Adolfo Vio | Sustainable Food Systems and Agriculture | Editorial Board Member

CONICET | Argentina

Dr. Santiago Adolfo Vio is a distinguished Argentine researcher in agricultural biotechnology and microbial ecology, widely recognized for promoting sustainable farming through innovative microbial bioinputs and plant growth-promoting bacteria. As a CONICET Postdoctoral Fellow at UNLP, he has demonstrated strong academic excellence through influential publications, funded research projects, and international scientific collaborations. His growing research impact is evidenced by 98 citations, 83 citations by documents, 7 indexed documents, and an h-index of 5. Dr. Vio’s contributions are advancing eco-friendly crop productivity, soil sustainability, and modern agricultural biotechnology worldwide.

Citation Metrics (Scopus)

100

75

50

25

0

Citations
98

Documents
7

h-index
5

🟦 Citations 🟥 Documents 🟩 h-index

Scopus Google Scholar ORCID 

Featured Publications

Assessment of Bacterial Inoculant Formulated with Paraburkholderia tropica to Enhance Wheat Productivity
– World Journal of Microbiology and Biotechnology (2018) | Citations: 55

Paraburkholderia
– Beneficial Microbes in Agro-Ecology (2020) | Citations: 35

 

Maria Candel | Food Sector | Excellence in Research Award

Posted on by Food Scientist

Mrs. Maria Candel | Food Sector | Excellence in Research Award

pre-doctoral researcher | University of Cadiz | Spain

Mrs. Maria Candel is a dedicated Pre-doctoral Researcher with a strong foundational background in molecular genetics and biotechnology, currently focusing on Environmental Technologies and Sustainable Food Systems. Her professional experience centers on resource recovery from food-related waste streams, specifically the anaerobic co-digestion of slaughterhouse sludge and wastewater to enhance biomethane production for a circular economy approach. Her key research interest lies in optimizing the conditions of this critical bioprocess, demonstrating a superior biomethane yield under thermophilic (55 °C) conditions compared to mesophilic conditions. Her research skills encompass complex laboratory-scale experimentation, bioprocess optimization, data analysis, and bibliometric analysis to identify research trends and gaps in waste management technologies, as evidenced by a comparative study on biomethane from pig slurry and slaughterhouse wastewater. While her profile is still early-career, her impactful publication on the effect of temperature on anaerobic digestion (in Recycling journal) signals significant future potential in bioenergy research.

Profile: ORCID

Featured Publications:

Candel, M., Ballesteros, L., Fernandez-Rodriguez, J., Perez, M., & Solera, R. (2025). Study of the Effect of Temperature to Optimize the Anaerobic Digestion of Slaughterhouse Sludge by Co-Digestion with Slaughterhouse Wastewater. Recycling, 10(2), 47.

Candel, M., Fernández-Rodríguez, J., Solera, R., & Perez, M. (2025). Comparative Bibliometric Analysis of Biomethane Production from Anaerobic Digestion of Pig Slurry and Slaughterhouse Wastewater: Research Trends and Gaps.

Ebenezer Olaniyi | Food Quality | Best Researcher Award

Posted on by Food Scientist

Mr. Ebenezer Olaniyi | Food Quality | Best Researcher Award

Research Assistant | University of Georgia | United States 

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: 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)

Sugandh Arora | Food security | Editorial Board Member

Posted on by Food Scientist

Assist. Prof. Dr. Sugandh Arora | Food security | Editorial Board Member

Assistant Professor | Ajeenkya DY Patil University | India

Assist. Prof. Dr. Sugandh Arora is a distinguished academician and researcher whose professional journey includes extensive experience in academia, serving as an Assistant Professor in a School of Management and holding prior roles as a financial advisor in the finance industry and as a faculty member at top universities. She completed her doctoral research at the Mittal School of Business and has an academic career spanning several years. Her research interest is primarily concentrated in the interdisciplinary areas of household food security, agricultural economics, international trade, vulnerability, maternal health, and national food security reforms, including the integration of modern technologies like blockchain in the food system. Her research skills are evidenced by her competency in rigorous quantitative analysis, conceptual framework development, systematic reviews, and expertise in data analysis tools like SPSS. She has significantly contributed to her field through numerous publications in reputed journals, including those indexed in Scopus. Her awards and honors include receiving the Best Paper Award at a national conference and securing two copyrights from the Government of India. Furthermore, she has been recognized with international exposure through engagements in Poland and Indonesia, reflecting her global research relevance. In conclusion, Assist. Prof. Dr. Sugandh Arora has established herself as a valuable and globally engaged scholar dedicated to addressing critical issues in economic policy and food security, with a strong commitment to impactful research and academic excellence.

Profile: Scopus | ORCID

Featured Publications:

Arora, S., Oberoi, S., Nabi, T., & Verma, B. (2024). How does blockchain impact sustainable food security? Insights from literature review. International Journal of Information Management Data Insights, 4(2), 100276. (16 Citations)

Arora, S., & Nabi, T. (2022). Blockchain adoption in banking systems: A boon or bane? Applications, challenges, and opportunities of blockchain technology in …. (14 Citations)

Oberoi, S., Arora, S., Verma, B., & Roy, K. K. (2024). What do we know about artificial intelligence and blockchain technology integration in the healthcare industry? Driving decentralization and disruption with digital technologies, 124–138. (12 Citations)

Arora, S., & Nabi, T. (2022). Determinants affecting household food security in India: A critical review. International Journal of Economic Policy in Emerging Economies, 15(2–4), 317–330. (11 Citations)

Verma, B., Bhardwaj, M., Arora, S., & Oberoi, S. (2025). Unveiling the impact of remittances on productive efficiencies: Investigating productivity growth of prominent remittance-receiving developing nations. International Journal of Productivity and Performance Management, 74(4). (4 Citations)

Arora, S., Nabi, T., & Bhardwaj, M. (2023). Blockchain technology: A double-edged sword when it comes to sustainable food security. The Empirical Economics Letters, 22, 67–88. (4 Citations)

Arora, S., Nabi, T., Oberoi, S., & Awasthi, V. (2024). Prevalence of household food security and health-related quality of life: Special consideration on the expectant mothers in Punjab. The Indian Economic Journal, 72(3), 540–553. (2 Citations)

Yavuz Yasul | Food Scientist | Editorial Board Member

Posted on by Food Scientist

Dr. Yavuz Yasul | Food Scientist | Editorial Board Member

Ondokuz Mayis University | Turkey

Dr. Yavuz Yasul is an established Associate Professor whose academic journey culminated in advanced degrees within the field of Sports Science and Kinesiology, preparing him for a distinguished professional experience at his institution. His core professional focus has been on Exercise Physiology and Sports Nutrition, serving as a faculty member and leading research initiatives. His primary research interests revolve around the physiological and molecular adaptations to various exercise protocols, the role of nutritional interventions (especially antioxidant supplementation like Coenzyme Q10) on performance and health markers, and the effects of physical activity on metabolic health in different populations, including those with prediabetes. Dr. Yasul’s research skills are strong in experimental design, applying advanced statistical analysis, conducting controlled animal model studies, and performing systematic reviews, evidenced by his consistent publication record. While specific external awards and honors are not prominently detailed, his extensive list of publications in reputable journals and international conference presentations demonstrate consistent recognition and high productivity within his scientific community. In conclusion, Dr. Yavuz Yasul has built a compelling academic profile marked by a dedication to cutting-edge research in exercise science, positioning him as a valuable contributor to the global understanding of how exercise and nutrition can be leveraged for enhanced athletic performance and improved public health outcomes.

Profile: Scopus 

Featured Publications:

Evaluating the impact of coenzyme Q10 and high-intensity interval training on lactate threshold and plasma blood gases in rats: a randomized controlled trial (2024)

The effect of Core Training Practices on Some Strength, Lower Limb Functions and Balance Performance in Judo Athletes (2023)

Tissue-Specific Modulation of Spexin Expression in Diet-Induced Obese Male Rats: Comparative Effects of Aerobic Exercise and Metformin (2025)

Recovery response of coenzyme Q10 to exercise-related physiological muscle damage, inflammation and oxidative stress: A systematic review (2024)

Moderate/High-Intensity Exercise and Coenzyme Q10 Supplementation May Reduce Tumstatin and Improve the Lipid Dynamics and Body Mass in Rats (2024)

Effects of short-term pre-competition weight loss on certain physiological parameters and strength change in elite boxers (2024)

Core Exercise as Non-Pharmacological Strategy for Improving Metabolic Health in Prediabetic Women (2024)