Dr. BABAN DEY | Food Safety | Best Researcher Award

Dr. BABAN DEY | Food Safety | Best Researcher Award 

Post-doctoral Fellow  at BIRLA INSTITUTE OF TECHNOLOGY MESRA, India

Baban Dey is an accomplished researcher in the field of Applied Chemistry and Chemical Engineering, specializing in the synthesis and characterization of nanomaterials, particularly focusing on metal-organic frameworks (MOFs) and carbon composites for applications in biosensors. With extensive experience as a Postdoctoral Fellow and Research Associate, he has collaborated on numerous projects and has supervised multiple PhD and Master’s students. Dey’s academic contributions are evidenced by his 24 published papers in renowned international journals. His research primarily revolves around the development of advanced materials for energy storage and environmental applications.

Publications Profile

Scopus

Google scholar

🎓 Education Details

  1. Ph.D. (Applied Chemistry)
    Institution: Birla Institute of Technology Mesra, Ranchi, India
    Duration: January 2017 – February 2023
    Thesis Title: Development of flexible three-dimensional metal-organic framework-carbon nanofiber hybrid electrode for biosensor applications
    Supervisor: Professor Arup Choudhury

  2. Master (Organic Chemistry)
    Institution: Vidyasagar University, Midnapore, West Bengal, India
    Duration: August 2014 – July 2016
    Principal Subjects: Inorganic Chemistry, Organic Chemistry, Analytical Chemistry, Physical Chemistry, Industrial Chemistry, Photochemistry, Bioorganic Chemistry, Organic Synthesis, and Spectroscopy.

  3. Bachelor (Chemistry)
    Institution: Vidyasagar University, Midnapore, West Bengal, India
    Duration: August 2011 – July 2014
    Principal Subjects: Inorganic Chemistry, Organic Chemistry, Analytical Chemistry, Physical Chemistry, Physics, Mathematics, and English.

👩‍🔬 Professional Experience

  1. Postdoctoral Fellow
    Institution: Birla Institute of Technology Mesra, Ranchi, India
    Duration: April 2024 – Present
    Supervisor: Professor Arup Choudhury
    Responsibilities:

    • Synthesis and characterization of nanomaterials for detecting various analytes
    • Development of metal-organic framework-based carbon composites
    • Guiding PhD and Master’s students
    • Collaborative research with colleagues in the department
  2. Research Associate-I
    Institution: Birla Institute of Technology Mesra, Ranchi, India
    Duration: March 2023 – March 2024
    Responsibilities:

    • Synthesis of PMMA nanocomposites and their characterization
    • Supervision of PhD and Master’s students on related projects

🌱 Research Interests

  • Nanotechnology: Particularly in the development of flexible, high-performance nanomaterials for energy and environmental applications.
  • Metal-Organic Frameworks (MOFs): Synthesis of MOFs for sensor and energy storage applications, including biosensors for detecting harmful chemicals.
  • Polymer Composites: Developing advanced composites and nanocomposites for mechanical, electrical, and thermal property enhancements.
  • Electrochemical Sensing: Non-enzymatic electrochemical sensors for the detection of environmental and food contaminants, health biomarkers, and energy storage systems.

🏆 Awards and Honors

  1. Best Researcher Award 2024 – International Research Awards on Advanced Nanomaterials and Nanotechnology (ANN Awards 2024).
  2. Young Researcher Award 2022 – Global Academicians & Researchers Network.
  3. Research Excellence Award 2020 – Institute of Scholars.
  4. ReviewerAdvances in Materials (AM) journal.
  5. Junior Research Fellowship (2017-2019) – Funded by DRDO, India.
  6. Senior Research Fellowship (2019-2020) – Funded by DRDO, India.

🔍 Conclusion

Baban Dey is an emerging leader in the field of nanomaterial synthesis and applied chemistry with a strong academic foundation and extensive research experience. His work on metal-organic frameworks and carbon nanofibers positions him as a key contributor to advancing biosensor technology and energy storage systems. His academic achievements, publications, and awards reflect his commitment to scientific innovation and his leadership potential in the global research community.

Publications 📚

  • 📄 Article: Electrochemically enzyme-free detection of lactic acid in human sweat using magnesium organic framework@carbon nanofiber composite
    Authors: K.S. Kushwaha, Km Shivangee, Baban Dey, Mohd Shariq Khan, Pulak Datta, Arup Choudhury
    Journal: Materials Science in Semiconductor Processing, 2025
    Citations: 1


     

  • 📄 Article: Hydrothermal growth of vanadium pentoxide nanofibers on carbon nanofiber mat: An anodic material for solid-state asymmetric supercapacitors
    Authors: Baban Dey, Md Wasi Ahmad, Refat Al-Shannaq, Arup Choudhury, Duck-joo Yang
    Journal: Solid State Sciences, 2025
    Citations: 1

 

 

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