Shohei Katsuya | Research Excellence | Excellence in Research

Published on by Scientist Day

Mr. Shohei Katsuya | Research Excellence | Excellence in Research

Mr. Shohei Katsuya | Advanced Technology Laboratories, OSAKA GAS Co., Ltd. | Japan

Shohei Katsuya is a dedicated Researcher at the Advanced Technology Laboratories of OSAKA GAS Co., Ltd., where he specializes in cutting-edge metabolic and nutritional research. He holds a Master of Agriculture degree from Kyoto University, completed in March 2021, and has since been actively involved in advanced investigations centered on the physiological functions and health impacts of beta-hydroxybutyrate (BHB). Since joining Osaka Gas in April 2021, Katsuya has contributed significantly to a series of clinical and biochemical studies exploring the therapeutic potential of BHB, a key ketone body known for its roles in metabolism, energy utilization, and physiological regulation. His research focuses on understanding the metabolic pathways and physiological effects of BHB in humans, with applications ranging from obesity reduction to improved sleep quality and metabolic health. He has authored five peer-reviewed publications between 2023 and 2025 in reputable journals including Obesities, Journal of Nutritional Science and Vitaminology, Bioscience, Biotechnology, and Biochemistry, and Nutrition. These works include randomized, double-blind, placebo-controlled clinical trials investigating the effects of D-BHB on body fat reduction, sleep quality enhancement, and its safety profile in humans and animal models. Additionally, he contributed to a collaborative study demonstrating BHB’s protective effects on diabetic renal and muscular pathologies.Katsuya’s publications have collectively received 18 citations and earned an h-index of 2 according to Scopus, reflecting the emerging impact of his work within the nutritional and biochemical sciences. His ongoing projects continue to deepen scientific understanding of BHB as a functional metabolite with potential applications in health optimization, disease prevention, and metabolic regulation. Through his work, Shohei Katsuya is advancing evidence-based insights that contribute to both academic knowledge and practical applications in human health research.

Profile: Orcid

Featured Publications

Katsuya, S., Kawata, Y., Kawamura, J., Goto, T., Takara, T., & Tsubota, J. (2025). Effect of D-β-hydroxybutyric acid on body fat in Japanese adults: A randomized, double-blind, placebo-controlled study. Obesities, 5(4), 82. https://doi.org/10.3390/obesities5040082

Aisyah, R., Katsuya, S., Miyata, K., Chen, Z., Horii, M., Kudo, A., Kumrungsee, T., Tsubota, J., & Yanaka, N. (2025). β-Hydroxybutyrate attenuates diabetic renal and muscular pathologies in a streptozotocin-induced diabetic model. Nutrition, Article 112792. https://doi.org/10.1016/j.nut.2025.112792

Katsuya, S., Kawata, Y., Kawamura, Y., Kawamura, J., & Tsubota, J. (2025). Effect of d-β-hydroxybutyrate on sleep quality in healthy participants: A randomized, double-blind, placebo-controlled study. Bioscience, Biotechnology, and Biochemistry, 89(5), 769–775. https://doi.org/10.1093/bbb/zbaf017

Katsuya, S., Kawata, Y., Sugimoto, M., Nishimura, T., & Tsubota, J. (2024). Determination of the safety of Halomonas sp. KM-1-derived d-β-hydroxybutyric acid and its fermentation-derived impurities in mice and Japanese adults. Bioscience, Biotechnology, and Biochemistry, 88(9), 1073–1080. https://doi.org/10.1093/bbb/zbae088

Ip, C.-H., Higuchi, H., Wu, C.-Y., Okuda, T., Katsuya, S., Ogawa, J., & Ando, A. (2024). Production of docosahexaenoic acid by a novel isolated Aurantiochytrium sp. 6-2 using fermented defatted soybean as a nitrogen source for sustainable fish feed development. Bioscience, Biotechnology, and Biochemistry, 88(5), 872–881. https://doi.org/10.1093/bbb/zbae035

Katsuya, S., Kawata, Y., Goto, T., & Tsubota, J. (2023). Daily intake of D-β-hydroxybutyric acid (D-BHB) reduces body fat in Japanese adult participants: A randomized, double-blind, placebo-controlled study. Journal of Nutritional Science and Vitaminology, 69(2), 121–128. https://doi.org/10.3177/jnsv.69.121

Ajit Yadav | Research Excellence | Best Researcher Award

Published on by Scientist Day

Mr. Ajit Yadav | Research Excellence | Best Researcher Award

Mr. Ajit Yadav | Indian Institute of Technology Indore | India

Mr. Ajit Yadav is a Ph.D. Scholar in Electrical Engineering at the Indian Institute of Technology (IIT) Indore, specializing in two-dimensional transition metal dichalcogenide (2D-TMD)-based IoT-enabled biosensors for early disease detection. His research integrates nanomaterials synthesis via chemical vapor deposition (CVD) with smart sensor technology, enabling real-time and highly sensitive biomolecule detection. He has two granted patents on point-of-care diagnostic systems and toxic gas detection technologies and has published three peer-reviewed papers in leading SCI-indexed journals such as the IEEE Sensors Journal and Journal of Electroanalytical Chemistry. His collaborative projects with AIIMS Bhopal and RMIT University, Australia, strengthen the biomedical application and global impact of his work. Through innovative sensor design, IoT integration, and interdisciplinary collaboration, Mr. Yadav’s research contributes to the advancement of portable, scalable, and intelligent biosensing platforms, supporting the future of personalized healthcare and environmental monitoring.

Profile: Orcid | Google Scholar

Featured Publications

Verma, V. K., Patel, C., Chaudhary, S., Yadav, A., Bajoria, P., Ako, R. T., Sriram, S., & Mukherjee, S. (2025). Pd-loaded MoS₂ nanoflowers for enhanced room-temperature methanol sensing. IEEE Sensors Journal, 25(2), 2186–2193. https://doi.org/10.1109/JSEN.2024.3506014

Yadav, A., Patel, C., Kanwar, J. R., Sriram, S., & Mukherjee, S. (2025). Miniaturized IoT-enabled MoS₂-based electrochemical sensor for real-time adenine monitoring. Journal of Electroanalytical Chemistry, 119564. https://doi.org/10.1016/j.jelechem.2025.119564

Yadav, A., Patel, C., Verma, V. K., Kanwar, J. R., Sriram, S., & Mukherjee, S. (2025). A point-of-care and IoT-enabled MoS₂-based sensor for uric acid detection in human serum. IEEE Sensors Journal, 25(20), 37714–37721. https://doi.org/10.1109/JSEN.2025.3609535

Sungyoung Yoon | Engineering Achievements | Best Researcher Award

Published on by Scientist Day

Dr. Sungyoung Yoon | Engineering Achievements | Best Researcher Award

Dr. Sungyoung Yoon | Samsung Electronics | South Korea

Dr. Sungyoung Yoon is a distinguished plasma engineer specializing in the development of advanced plasma devices for semiconductor manufacturing. He currently serves as a Principal Engineer at Samsung Electronics, where he leads innovations in remote plasma sources (RPS), PECVD plasma uniformity control, and selective etching processes for next-generation V-NAND and 3D memory devices. He earned his Ph.D. in Nuclear Engineering with a focus on plasma physics and engineering from Seoul National University, where his research explored hydroxyl radical generation mechanisms in electrolyte streamer discharges. His academic foundation and technical expertise have driven a prolific career bridging plasma diagnostics, numerical modeling, and applied plasma engineering. Before joining Samsung, Dr. Yoon worked as a Senior Researcher at the Korea Institute of Fusion Energy (KFE) and as a Postdoctoral Associate at Seoul National University, where he contributed to projects involving plasma chemistry, optical diagnostics, and radical generation for industrial and biomedical applications. Dr. Yoon has authored SCI-indexed publications in leading journals such as Plasma Sources Science and Technology, Scientific Reports, and Physical Review Plasmas, and holds over a dozen international patents across Korea, the U.S., Taiwan, and China. His recent research explores metamaterials for plasma control, phase-controlled etching, and dual-frequency plasma systems.

Profile: Google Scholar

Featured Publications

Yoon, S.-Y., Jeon, H., Yi, C., Park, S., Ryu, S., & Kim, S. B. (2018). Mutual interaction between plasma characteristics and liquid properties in AC-driven pin-to-liquid discharge. Scientific Reports, 8(1), 12037. https://doi.org/10.1038/s41598-018-30466-9

Kang, K. A., Ryu, Y. S., Piao, M. J., Shilnikova, K., Kang, H. K., Yi, J. M., Boulanger, M., … Yoon, S.-Y., … Hyun, J. W. (2018). DUOX2-mediated production of reactive oxygen species induces epithelial mesenchymal transition in 5-fluorouracil resistant human colon cancer cells. Redox Biology, 17, 224–235. https://doi.org/10.1016/j.redox.2018.04.008

Baek, K. H., Yong, H. I., Yoo, J. H., Kim, J. W., Byeon, Y. S., Lim, J., Yoon, S.-Y., Ryu, S., & Jo, C. (2020). Antimicrobial effects and mechanism of plasma activated fine droplets produced from arc discharge plasma on planktonic Listeria monocytogenes and Escherichia coli O157:H7. Journal of Physics D: Applied Physics, 53(12), 124002. https://doi.org/10.1088/1361-6463/ab6cb0

Lee, J. Y., Kim, K. H., Park, S. Y., Yoon, S.-Y., Kim, G. H., Lee, Y. M., Rhyu, I. C., & Seol, Y. J. (2019). The bactericidal effect of an atmospheric-pressure plasma jet on Porphyromonas gingivalis biofilms on sandblasted and acid-etched titanium discs. Journal of Periodontal & Implant Science, 49(5), 319–329. https://doi.org/10.5051/jpis.2019.49.5.319

Kang, K. A., Piao, M. J., Eom, S., Yoon, S.-Y., Ryu, S., Kim, S. B., Yi, J. M., & Hyun, J. W. (2020). Non-thermal dielectric-barrier discharge plasma induces reactive oxygen species by epigenetically modifying the expression of NADPH oxidase family genes in keratinocytes. Redox Biology, 37, 101698. https://doi.org/10.1016/j.redox.2020.101698

Li Yu | Research Excellence | Best Researcher Award

Published on by Scientist Day

Prof. Li Yu | Research Excellence | Best Researcher Award

Prof. Li Yu | Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences | China

Dr. Yu Li is a distinguished Research Fellow at the Oil Crops Research Institute (OCRI), Chinese Academy of Agricultural Sciences (CAAS), specializing in Food Science and Technology with a strong emphasis on mycotoxin prevention, detection, and safety assurance in agricultural products. Her research integrates advanced analytical techniques and immunological approaches to develop innovative detection systems for food contaminants. She has successfully led and participated in more  major national and provincial research projects, including those funded by the National Key R&D Program of China and the National Natural Science Foundation of China (NSFC). Her pivotal role in the award-winning project “Development of Targeted Antibodies and Ultrasensitive Detection Technologies for Aflatoxins in Agricultural Products” earned her team the Second-Class Prize of the National Technical Invention Award . Recognized for her excellence, Dr. Li has been selected for the Outstanding Young Talent Cultivation Program of OCRI-CAAS and the “Young Top Talent” Program of Hubei Province. Beyond her research, she contributes to scientific development as a Guest Editor for Molecules and as a member of the Science and Technology Expert Database of the Hubei Provincial Department of Science and Technology.

Profiles:  ORCID | ResearchGate

Featured Publications

Tang, F., Ma, F., Wang, D., Fang, M., Zhang, L., Li, P., & Yu, L. (2025). Highly efficient detoxification of aflatoxin B1 in peanut meals by attapulgite-supported laccase. Food Control, 164, 111759. https://doi.org/10.1016/j.foodcont.2025.111759

Ma, F., He, Y., Tang, F., Fu, L., Zhang, L., Li, P., & Yu, L. (2025). In-situ stabilization of conjugated microporous polymer on sieve plates for multifunctional applications: Detection and removal of aflatoxins. Journal of Hazardous Materials, 478, 139457. https://doi.org/10.1016/j.jhazmat.2025.139457

Liu, M., Wang, X., Yang, Y., Tu, F., Yu, L., Ma, F., Wang, X., Jiang, X., Dou, X., Li, P., & others. (2025). Authentication of edible oil by real-time one class classification modeling. Foods, 14(7), 1235. https://doi.org/10.3390/foods14071235

Dou, X., Tu, F., Yu, L., Yang, Y., Ma, F., Wang, X., Wang, D., Zhang, L., Jiang, X., & Li, P. (2024). Adulteration detection of edible oil by one-class classification and outlier detection. Food Frontiers, 5(1), Article e395. https://doi.org/10.1002/fft2.395

Huang, F., Liu, A., Fang, M., Wang, D., Yu, L., Ma, F., Wang, X., Zhang, L., & Li, P. (2024). Characteristic volatile flavors of high-oleic peanut oil and normal peanut oil. Microchemical Journal, 199, 110389. https://doi.org/10.1016/j.microc.2024.110389

Prabhat Kumar Bharti | Research Excellence | Best Researcher Award

Published on by Scientist Day

Dr. Prabhat Kumar Bharti | Research Excellence | Best Researcher Award

Dr. Prabhat Kumar Bharti | School of Computing and Electrical Engineering, Indian Institute of Technology (IIT) Mandi, Himachal Pradesh | India

Dr. Prabhat Kumar Bharti is a Postdoctoral Fellow at IIT Mandi with a Ph.D. in Computer Science & Engineering from IIT Patna, specializing in Artificial Intelligence and Natural Language Processing for peer review systems. He has served as Assistant Professor at KLEF University and Goel Institute of Technology, teaching Machine Learning, Deep Learning, and related subjects with excellent student feedback. An accomplished researcher with publications in Journal of Information Science, Scientometrics, Plos ONE, and others, he has also received the Best Paper Runner-Up Award at ICADL 2021. Actively engaged in academic service, he has held leadership roles in IEEE, reviewed for leading journals, and contributed to curriculum design and accreditation, reflecting his strong commitment to research, teaching, and community development.

Academic Profile 

Google Scholar

Education

Dr. Prabhat Kumar Bharti holds a strong academic foundation in computer science and engineering, beginning with a Bachelor of Technology in Information Technology, followed by a Master of Technology in Computer Science and Engineering with a focus on web structure mining. He pursued doctoral research at the Indian Institute of Technology, Patna, where his thesis explored artificial intelligence techniques for peer review and research lineage establishment. His academic journey reflects a consistent focus on advanced computing, artificial intelligence, and data-driven methodologies that form the basis of his professional expertise.

Experience

He has served in both teaching and research capacities at reputed institutions across India. His career includes roles as Assistant Professor at universities and institutes where he taught subjects such as Machine Learning, Deep Learning, Artificial Neural Networks, Database Management Systems, and Operating Systems. He has also held administrative responsibilities, contributing to innovation coordination, student counseling, and accreditation processes. Currently, he is a Postdoctoral Fellow at the Indian Institute of Technology, Mandi, where he is expanding his research portfolio while mentoring students and contributing to academic excellence through teaching and scholarly engagement.

Research Interests

His research interests lie at the intersection of artificial intelligence, natural language processing, and computational linguistics, with a particular emphasis on the peer review process. He has developed models for analyzing review comments, predicting reviewer decisions, assessing tone and objectivity, and generating recommendations. His work extends to large language models, sentiment analysis, causal inference, and advanced learning strategies such as few-shot learning and chain-of-thought reasoning. He also explores the applications of Bayesian methods, counterfactual reasoning, and interpretability in AI, contributing to the creation of trustworthy and transparent intelligent systems.

Awards and Recognitions

Dr. Bharti has received significant recognition for his contributions to research and academia. He qualified the National Eligibility Test for Assistant Professor conducted by the University Grants Commission of India. His paper on predicting peer review decisions earned the Best Paper Runner-Up Award at an international conference on digital libraries, showcasing the impact of his innovative approach to peer review analysis. Alongside awards, he has been an active reviewer for reputed journals and conferences, further highlighting his reputation as a respected member of the global research community.

Publications

A novel benchmark resource for computational analysis of peer reviews — T. Ghosal, S. Kumar, P.K. Bharti, A. Ekbal — PLOS ONE — 2022

Peerassist: leveraging on paper-review interactions to predict peer review decisions — P.K. Bharti, S. Ranjan, T. Ghosal, M. Agrawal, A. Ekbal — International Conference on Asian Digital Libraries — 2021

PolitePEER: does peer review hurt? A dataset to gauge politeness intensity in the peer reviews — P.K. Bharti, M. Navlakha, M. Agarwal, A. Ekbal — Language Resources and Evaluation — 2024

Sharing is caring! Joint multitask learning helps aspect-category extraction and sentiment detection in scientific peer reviews — S. Kumar, T. Ghosal, P.K. Bharti, A. Ekbal — ACM/IEEE Joint Conference on Digital Libraries (JCDL) — 2021

How confident was your reviewer? Estimating reviewer confidence from peer review texts — P.K. Bharti, T. Ghosal, M. Agrawal, A. Ekbal — International Workshop on Document Analysis Systems — 2022

PEERRec: An AI-based approach to automatically generate recommendations and predict decisions in peer review — P.K. Bharti, T. Ghosal, M. Agarwal, A. Ekbal — International Journal on Digital Libraries — 2024

BetterPR: A Dataset for Estimating the Constructiveness of Peer Review Comments — P.K. Bharti, T. Ghosal, M. Agarwal, A. Ekbal — International Conference on Theory and Practice of Digital Libraries — 2022

Conclusion

Dr. Prabhat Kumar Bharti stands out as a dynamic researcher whose contributions to Artificial Intelligence and Natural Language Processing reflect both depth and innovation. His strong academic record, impactful publications, teaching excellence, and active service to the academic community position him as a truly deserving candidate for the Best Researcher Award. With his continued dedication, he is poised to make even greater contributions to global research and knowledge advancement.