Animesh Sarkar | Food Processing | Best Researcher Award

Prof. Dr. Animesh Sarkar | Food Processing | Best Researcher Award 

Professor, Shahjalal University of Science and Technology, Bangladesh

Professor Animesh Sarkar is a distinguished academic and researcher specializing in Food Engineering and Agricultural Sciences. With over 15 years of dedicated experience, he currently serves as a Professor at the Department of Food Engineering and Tea Technology, Shahjalal University of Science and Technology, Bangladesh. His expertise spans sustainable food production, bioremediation of heavy metals, tea science, bio-fertilizers, agricultural waste management, and food chemistry. He strives to enhance global food security by developing innovative, eco-friendly technologies and advancing knowledge in food processing and soil microbiology.

Professional Profile

Google Scholar

🎓 Education

Professor Sarkar’s academic foundation was built at Bangladesh Agricultural University, where he earned his B.Sc. in Agriculture (2006) and M.S. in Agricultural Chemistry (2007). His master’s thesis focused on isolating phosphate solubilizing bacteria and their impact on rice grown in acidic soil. He then pursued advanced research in Japan, obtaining a PhD in Science and Engineering from Saitama University in 2015. His doctoral research investigated the role of arbuscular mycorrhizal fungi on floodplain plants under nutrient deficiency and heavy metal stress. He furthered this work as a JSPS postdoctoral fellow (2017–2019), focusing on bioremediation and food safety.

💼 Professional Experience

Since 2009, Professor Sarkar has been a vital faculty member at Shahjalal University. He has taught a broad spectrum of courses such as Soil Science, Food Chemistry, Agro-industrial Chemistry, and Tea Agronomy at both undergraduate and graduate levels. Alongside teaching, he has supervised more than 40 students across various levels. His research spans experimental trials in food processing, tea crop development, microbial bioremediation, and environmental sustainability. He actively collaborates with farmers to solve crop production challenges and promotes university-industry-farmer linkages.

🔬 Research Interests

His core research interests include the sustainable production of nutrient-rich food, the bioremediation of heavy metals using fungi and bacteria, microbial interactions with plants, food waste valorization, and non-thermal food processing techniques. He also investigates the use of biofertilizers and biopesticides to improve crop yield and soil health, focusing on eco-friendly agricultural practices and enhancing the safety and quality of food products.

📚 Publications Top Notes

Application of nanotechnology in food: processing, preservation, packaging and safety assessment
R Biswas, M Alam, A Sarkar, MI Haque, MM Hasan, M HoqueHeliyon, 2022, 8(11), 126. (Cited 126 times)
This comprehensive review examines how nanotechnology is revolutionizing food processing, preservation, and packaging. It highlights advances in enhancing food safety, shelf life, and nutrient delivery through nanoscale materials. The article discusses potential risks and regulatory considerations, providing a balanced perspective on future applications in the food industry.

Comparisons of yield, water use efficiency, and soil microbial biomass as affected by the system of rice intensification
L Zhao, L Wu, Y Li, S Animesh, D Zhu, N UphoffCommunications in Soil Science and Plant Analysis, 2010, 41(1), 1-12. (Cited 118 times)
This study evaluates the System of Rice Intensification (SRI) and its impact on rice yield, water conservation, and soil microbial health. Findings indicate that SRI improves water use efficiency and enhances soil microbial biomass, contributing to sustainable rice production in water-scarce regions.

Screening for phosphate solubilizing bacteria inhabiting the rhizoplane of rice grown in acidic soil in Bangladesh
A Sarkar, T Islam, G Biswas, S Alam, M Hossain, N TalukderActa Microbiologica et Immunologica Hungarica, 2012, 59(2), 199-213. (Cited 72 times)
This research isolates and characterizes phosphate solubilizing bacteria (PSB) from rice rhizoplane soil. The study reveals PSB’s crucial role in improving phosphorus availability and rice growth in acidic soils, offering an eco-friendly alternative to chemical fertilizers.

Arbuscular mycorrhizal influences on growth, nutrient uptake, and use efficiency of Miscanthus sacchariflorus growing on nutrient-deficient river bank soil
A Sarkar, T Asaeda, Q Wang, MH RashidFlora, 2015, 212, 46-54. (Cited 52 times)
This article documents the positive effects of arbuscular mycorrhizal fungi on the growth and nutrient uptake of Miscanthus sacchariflorus in nutrient-poor soils. It demonstrates enhanced nutrient use efficiency, suggesting that mycorrhizal symbiosis is beneficial for revegetation of degraded riparian habitats.

Impact of blanching pretreatment on physicochemical properties, and drying characteristics of cabbage (Brassica oleracea)
A Sarkar, S Rahman, M Roy, M Alam, MA Hossain, T AhmedFood Research, 2021, 5(2), 393-400. (Cited 44 times)
This experimental study investigates how blanching affects the drying kinetics and quality parameters of cabbage. Results show blanching improves drying rate and preserves physicochemical properties, providing valuable data for optimizing cabbage processing in the food industry.

🏆 Conclusion

Professor Animesh Sarkar’s career is marked by a robust blend of teaching excellence, cutting-edge research, and practical agricultural interventions. His pioneering work on microbial bioremediation, food processing innovations, and sustainable crop management addresses some of the most pressing challenges in food security and environmental sustainability. Recognized internationally, with numerous citations and prestigious fellowships, his contributions continue to impact scientific communities and farming practices alike. His dedication to mentoring the next generation and fostering collaborative research further amplifies his standing as a leading figure in agricultural and food science.

Wenliang Wu | Food Chemistry | Best Researcher Award

Dr. Wenliang Wu | Food Chemistry | Best Researcher Award

Lecturer | Northwest A&F University | China

Wenliang Wu is a Lecturer at the College of Information Engineering, Northwest A&F University, China. With an academic background in Computer Science and Technology, Wu completed a Ph.D. from Northwestern Polytechnical University in 2022. His research interests primarily focus on unmanned swarm systems, collective intelligence, and evaluation methods for autonomous systems. Wu’s academic journey includes a Master’s degree from Inner Mongolia University and a Bachelor’s degree from Inner Mongolia University of Technology. His current role involves both teaching and leading research in the area of intelligent evaluation of unmanned systems.

Profile

Orcid

Education

Wenliang Wu’s educational trajectory is rooted in Computer Science and Technology. He began his academic pursuit at Inner Mongolia University of Technology, where he earned his Bachelor’s degree in 2014. Continuing his studies, Wu obtained a Master’s degree in the same field from Inner Mongolia University in 2017. His dedication to the field culminated in a Ph.D. from Northwestern Polytechnical University, which he completed in December 2022. During his Ph.D., Wu specialized in the development of intelligent evaluation models for unmanned swarm systems.

Experience

Dr. Wu’s academic career has progressed steadily, marked by significant research contributions. Since February 2023, he has been a Lecturer at the College of Information Engineering, Northwest A&F University. His primary responsibilities include conducting cutting-edge research on unmanned systems and delivering lectures on related topics. Wu’s research in this field is aimed at improving the intelligence and operational efficiency of autonomous systems, particularly in unmanned swarm technologies. His academic experience is complemented by his leadership role in several research projects, where he has pioneered work on swarm system evaluations and intelligence assessment methodologies.

Research Interests

Dr. Wu’s research interests lie at the intersection of artificial intelligence, autonomous systems, and swarm intelligence. Specifically, he focuses on the development of comprehensive evaluation systems for unmanned swarm intelligence. Wu’s work is largely concerned with methods to assess the collective intelligence of unmanned systems, a crucial element for their successful operation in complex environments. He has been involved in creating models based on the OODA (Observe, Orient, Decide, Act) loop, group extension cloud models, and CRITIC-based evaluation methods. His goal is to develop robust systems that allow for more accurate and reliable performance evaluations for unmanned swarm systems.

Award

Though Wu has not yet received formal academic awards, his work has significantly contributed to the field of unmanned swarm intelligence. His publications in top-tier journals, such as Connection Science and Automation Acta, highlight the recognition of his research within the academic community. Furthermore, his leadership in research projects, including those at the doctoral research stage, demonstrates his growing influence in the field of intelligent systems and swarm technologies.

Publication Top Note

Wu, W., Zhou, X., & Shen, B. (2022). Comprehensive evaluation of the intelligence levels for unmanned swarms based on the collective OODA loop and group extension cloud model. Connection Science, 34(1), 630-651. (Cited by 15 articles).

Shen, B., Wu, W., Yang, G., & Zhou, X. (2023). Intelligent evaluation model and method for unmanned swarm systems based on group OODA. Acta Aeronautica et Astronautica Sinica, 44(14), 328003-1-328003-15. (Cited by 10 articles).

Wu, W., Zhou, X., Shen, B., & Zhao, Y. (2022). Review of evaluation research for swarm robot systems. Acta Automatica Sinica, 48(5), 1153-1172. (Cited by 20 articles).

Wu, W., Wang, C., Tuo, M., & Zhou, X. (2022). An accurate and robust comparison method of intelligence for unmanned swarms based on improved CRITIC and hypothesis test. Proceedings of the 2022 International Conference on Autonomous Unmanned Systems, Xi’an, China. (Cited by 7 articles).

Wu, W., & Zhou, X. (2020). An intelligent evaluation method for the application scenario complexity level of unmanned swarms. Proceedings of the 19th International Conference on Ubiquitous Computing and Communication, Exeter, UK. (Cited by 5 articles).

Conclusion

Dr. Wenliang Wu has made remarkable strides in the field of unmanned swarm systems, with a particular focus on the evaluation and improvement of their intelligence. With a solid educational background and a growing body of influential work, he is emerging as a key figure in the realm of autonomous systems. His research, especially his work on intelligent evaluation models, contributes to the development of smarter and more reliable unmanned technologies. As he continues to push the boundaries of swarm intelligence and autonomous system evaluations, Wu’s work holds the promise of transforming how unmanned systems are deployed and assessed in real-world scenarios.