Md Mehedi Iqbal | Food Microbiology | Food Safety Innovation Award

Posted on by Food Scientist

Dr. Md Mehedi Iqbal | Food Microbiology | Food Safety Innovation Award

Project Researcher at Nagasaki University, Japan

Dr. Md. Mehedi Iqbal Rocky is a marine microbiologist and bioinformatician with multidisciplinary research expertise in microbial ecology, marine science, and environmental bioinformatics. With over a decade of academic training and research experience in Bangladesh and Japan, he has significantly contributed to the understanding of microbial communities in marine ecosystems, particularly eelgrass (Zostera marina) beds. He is also experienced in AI and machine learning applications in environmental science and currently works as a Project Researcher at Nagasaki University.

 Publications Profile

Scopus

Orcid

🎓 Education Details

  • Ph.D. (2018–2022)
    Graduate School of Frontier Sciences, The University of Tokyo, Japan
    Thesis: Microbial Community Composition and Diversity in the Eelgrass Bed
    Supervisor: Assoc. Prof. Susumu Yoshizawa

  • M.Sc. (2016–2018)
    Graduate School of Frontier Sciences, The University of Tokyo, Japan
    Thesis: Microbial community structure associated with eelgrass along the coast of Japan
    Supervisor: Prof. Kazuhiro Kogure

  • M.Sc. in Marine Science (2013–2015)
    University of Chittagong, Bangladesh
    Thesis: Phytoplankton species assemblages in the Rezu Khal estuary
    CGPA: 3.54/4.00

  • B.Sc. (Hons.) in Marine Science (2008–2013)
    University of Chittagong, Bangladesh
    Term Paper: Zooplankton biodiversity and environmental dynamics in Rezu Khal estuary
    CGPA: 3.51/4.00

👩‍🔬 Professional Experience

  • Dec 2024 – Present: Project Researcher, Institute for East China Sea Research, Nagasaki University, Japan
    Topic: CO₂ logger evaluation in ocean systems

  • Sep 2023 – Nov 2024: Bioinformatician/Data Scientist, Japan AI Consulting, Osaka
    Work: R&D in AI/ML applications for environmental data

  • Apr 2022 – Sep 2023: Project Researcher, AORI, The University of Tokyo
    Research: Seagrass microbiome interactions

  • Oct 2021 – Mar 2022: Research Assistant, AORI, The University of Tokyo
    Research: Microbial succession in eelgrass decomposition

  • 2013 – Present: Ongoing research in microbial ecology, phytoplankton, and estuarine biodiversity through various research and academic roles in Japan and Bangladesh

🌱 Research Interests

  • Marine microbial ecology and environmental microbiology

  • Microbial diversity and dynamics in seagrass ecosystems

  • Oceanographic data analysis and hydrological factors

  • Environmental DNA (eDNA) and next-generation sequencing

  • AI and machine learning for ecological data analysis

  • Aquatic pollution, biodiversity conservation, and ecosystem modeling

🏆 Awards and Honors

  • Best Poster Presentation Award, ISME Microbial Ecology Summit, 2020

  • MEXT Scholarships (2015–2021) for Doctoral, Master’s, and Research Programs in Japan

  • Research Assistant/Project Researcher Awards, University of Tokyo (2021–2023)

🔍 Conclusion

Dr. Md. Mehedi Iqbal Rocky has built an impressive research trajectory blending marine science, microbial ecology, and AI-powered data analysis. His scholarly contributions are evident through high-quality journal publications, international conference presentations, and academic collaborations. With strong technical skills in bioinformatics, statistical modeling, and environmental monitoring, he is well-positioned for leadership roles in interdisciplinary research on marine ecosystems, environmental safety, and sustainable resource management.

 Publications 📚

  1. 🧫 Iqbal, M.M., Nishimura, M., Yuya Tsukamoto, Yoshizawa, S. (2024).
    Changes in microbial community structure related to biodegradation of eelgrass (Zostera marina).
    🔬 Science of the Total Environment, 930, 172798.
    https://doi.org/10.1016/j.scitotenv.2024.172798

  2. 🧪 Iqbal, M.M., Nishimura, M., Sano, M., Yoshizawa, S. (2024).
    Particle-attached microbes in eelgrass vegetation areas differ in community structure depending on the distance from the eelgrass bed.
    🌱 Microbes and Environment, 38(3): ME23013.

  3. 🌊 Iqbal, M.M., Nishimura, M., Haider, M. N., Yoshizawa, S. (2023).
    Microbial communities on eelgrass (Zostera marina) thriving in Tokyo Bay and the possible source of leaf-attached microbes.
    🧬 Frontiers in Microbiology, 13, 1102013.
    https://doi.org/10.3389/fmicb.2023.1102013

  4. 🎤 Iqbal, M.M., Nishimura, M., Sano, M., Yoshizawa, S. (2022).
    Diversity and dynamics of particle-associated and free-living bacteria in eelgrass (Zostera marina) bed along the coast of Japan.
    📃 Proceedings of the Microbiology Society Conference.
    https://doi.org/10.1099/acmi.ac2021.po0237

  5. 🌍 Iqbal, M.M., Nishimura, M., Haider, M.N., Sano, M., Ijichi, M., Kogure, K., Yoshizawa, S. (2021).
    Diversity and composition of microbial communities of an eelgrass (Zostera marina) bed in Tokyo Bay, Japan.
    🧫 Microbes and Environment, 36(4): ME21037.

  6. 🐡 Wassel, M.A., Makabe‐Kobayashi, Y., Iqbal, M.M., Takatani, T., Sakakura, Y., Hamasaki, K. (2024).
    The impact of tetrodotoxin (TTX) on the gut microbiome in juvenile tiger pufferfish (Takifugu rubripes).
    📊 Scientific Reports, 14, 16684.
    https://doi.org/10.1038/s41598-024-66112-y

  7. 💧 Haider, M.N., Nishimura, M., Iqbal, M.M., Ikemoto, E., Ijichi, M., Kogure, K. (2023).
    Bacterial response to glucose addition – growth and community structure in seawater microcosms.
    🔬 Scientific Reports, 13, 341.

  8. 🧪 Souhardya, S.M., Kumar, U., Iqbal, M.M., et al. (2025).
    Phytoplankton in contrasting ecosystems of the southeastern coast of Bangladesh: effects of seasonality and environmental factors.
    🌿 Environmental Monitoring and Assessment, 197, 260.
    https://doi.org/10.1007/s10661-025-13699-y

  9. 🐾 Shawon, R.A.R., Rahman, M.M., Dandi, S.O., Agbayiza, B., Iqbal, M.M., et al. (2025).
    Knowledge, perception, and practices of wildlife conservation and biodiversity management in Bangladesh.
    🐘 Animals, 15(3), 296.
    https://doi.org/10.3390/ani15030296

  10. 📸 Shawon, R.A.R., Rahman, M.M., Iqbal, M.M., Russel, M.A., Moribe, J. (2024).
    An assessment of the diversity and seasonal dynamics of small- and medium-sized mammals in Pittachhara Forest, Bangladesh, using a camera trap survey.
    🦝 Animals, 14(24), 3568.
    https://doi.org/10.3390/ani14243568

  11. ⚗️ Mazed, M.M., Haque, A., Iqbal, M.M., Rana, S., Ahammad, K., et al. (2023).
    Heavy metal (As, Cr, and Pb) contamination and associated human health risks in two commercial fish species in Bangladesh.
    🐟 Environmental Monitoring and Assessment, 195, 1400.
    https://doi.org/10.1007/s10661-023-11985-1

  12. 🐣 Nahid, S.A.A., Rana, S., Sultana, N., Mawa, J., Iqbal, M.M., et al. (2023).
    Larval fish assemblages in coastal waters of Bangladesh: Spatial and seasonal dynamics.
    🌐 Conservation, 4, 36–50.
    https://doi.org/10.3390/conservation4010003

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

Posted on by Food Scientist

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