Marycarmen Godinez victoria | Medicine | Research Excellence Award

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Global Scientist Day Awards

Marycarmen Godinez Victoria — Instituto Politecnico Nacional, Mexico
Marycarmen Godinez Victoria
Affiliation Instituto Politecnico Nacional
Country Mexico
Google Scholar DmXxCtYAAAAJ&hl
Documents 50
Citations 956
h-index 19
Subject Area Medicine
Event Global Scientist Day Awards
ORCID 0000-0003-3317-7980

Marycarmen Godinez Victoria is a medicine researcher affiliated with Instituto Politecnico Nacional in Mexico. The researcher profile supplied for this academic recognition page reports 50 documents, 956 citations, and an h-index of 19. These bibliometric indicators provide a structured view of the documented research record and can be considered alongside publication quality, research themes, collaboration, and broader scholarly contributions. The profile is associated with Google Scholar, Scopus, and ORCID identifiers, supporting researcher disambiguation across scholarly information systems. The Global Scientist Day Awards provides the recognition context for presenting this research profile and its associated academic record.[1] [2] [3]

Abstract

Marycarmen Godinez Victoria, affiliated with Instituto Politecnico Nacional in Mexico, is presented in this academic recognition profile as a researcher in medicine. The supplied scholarly record reports 50 documents, 956 citations, and an h-index of 19, alongside researcher identifiers in Google Scholar, Scopus, and ORCID. These indicators offer measurable evidence of scholarly activity and citation visibility, while the broader research record should be interpreted through publication context, methodological contributions, collaborations, and disciplinary relevance.[1] [2] [3]

Keywords

Marycarmen Godinez Victoria; Instituto Politecnico Nacional; Mexico; Medicine; medical research; scholarly publications; research impact; bibliometrics; Google Scholar; Scopus; ORCID; h-index; citations; Global Scientist Day Awards.

Introduction

Academic recognition profiles commonly combine institutional affiliation, disciplinary area, publication activity, citation indicators, and persistent researcher identifiers. Such information helps distinguish researchers with similar names and provides a reproducible framework for describing scholarly records. The supplied profile identifies Marycarmen Godinez Victoria with Instituto Politecnico Nacional, Mexico, and places the research field within medicine. [1] [2]

Research Profile

The supplied research profile identifies Marycarmen Godinez Victoria as a medicine researcher at Instituto Politecnico Nacional in Mexico. The reported record contains 50 documents, 956 citations, and an h-index of 19. Researcher identifiers supplied for this profile include Google Scholar, Scopus Author ID 35104790800, and ORCID 0000-0003-3317-7980, enabling cross-platform scholarly identification. [1] [2] [3]

Research Contributions

The available information establishes a sustained scholarly record in medicine, represented by 50 reported documents and measurable citation activity. These indicators describe the scale and visibility of the indexed research output but do not independently establish the significance of individual studies. A fuller assessment of contributions would consider research questions, methods, findings, collaborations, clinical or scientific relevance, and evidence of subsequent use by other researchers.

Publications

The supplied profile reports 50 scholarly documents associated with the researcher. The available information does not provide a complete publication-by-publication bibliography, journal list, or DOI inventory, so individual publication titles and DOI identifiers are not reproduced here. Scopus, Google Scholar, and ORCID can provide complementary mechanisms for locating and disambiguating publications, although their records may differ because of indexing coverage, author matching, and profile maintenance practices. [1] [2] [3]

Research Impact

The supplied bibliometric record reports 956 citations and an h-index of 19. Citation counts indicate that indexed scholarly works have been referenced by subsequent publications, while the h-index summarizes the relationship between publication count and citation thresholds. Such measures are discipline- and database-dependent and should therefore be considered as descriptive indicators rather than complete measures of research quality, societal relevance, or scientific influence. [1] [2]

Award Suitability

For the Global Scientist Day Awards, the documented profile provides several objective elements that may be relevant to an academic recognition review, including the stated medical research area, institutional affiliation, publication count, citation count, h-index, and persistent researcher identifiers. Final recognition should be determined according to the event’s published eligibility criteria, submission materials, verification procedures, and award committee assessment rather than bibliometric indicators alone. [2] [3]

Conclusion

Marycarmen Godinez Victoria is presented in the supplied academic record as a medicine researcher affiliated with Instituto Politecnico Nacional in Mexico. The reported profile includes 50 documents, 956 citations, and an h-index of 19, supported by Google Scholar, Scopus, and ORCID identifiers.

References

  1. Elsevier. (2026.). Scopus author details: Marycarmen Godinez Victoria, Author ID 35104790800. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=35104790800
  2. Google Scholar. (2026.). Marycarmen Godinez Victoria — Google Scholar Profile.
    https://scholar.google.com/citations?user=DmXxCtYAAAAJ&hl=en&oi=sra
  3. Stress modulates intestinal secretory immunoglobulin A.
    https://pubmed.ncbi.nlm.nih.gov/24348350/
  4. Global Scientist Day Awards. (2026). Global Scientist Day Awards — Official Website.
    https://scientistday.org/

Marko Radulovic | Precision Medicine | Research Excellence Award

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Research Excellence Award – Marko Radulovic

Marko Radulovic

Institute for Oncology and Radiology, Serbia

Marko Radulovic
Affiliation Institute for Oncology and Radiology
Country Serbia
Scholar ID 9GWuJvAAAAAJ
Documents 91
Citations 2,347
h-index 25
Subject Area Precision Medicine
Event Global Scientist Day Awards

Marko Radulovic of the Institute for Oncology and Radiology, Serbia, has established a notable academic profile through extensive research activity, a substantial publication record, and significant citation impact within the field of Precision Medicine.[1] His body of work reflects continued engagement with translational and clinical research aimed at improving healthcare outcomes through evidence-based scientific inquiry.[2]

Abstract

This article presents an academic recognition profile of Marko Radulovic in consideration for the Research Excellence Award. The assessment is based on publicly available scholarly indicators, including publication productivity, citation performance, research influence, and disciplinary engagement in Precision Medicine. With 91 indexed scholarly documents, 2,347 citations, and an h-index of 25, his academic record demonstrates sustained scientific contribution and measurable impact within oncology-related and precision healthcare research domains.[1]

Keywords

Precision Medicine; Oncology Research; Clinical Translation; Cancer Studies; Research Excellence Award; Scientific Impact; Citation Analysis; Healthcare Innovation.

Introduction

Precision Medicine has emerged as a transformative area of modern healthcare by integrating molecular biology, clinical diagnostics, and patient-specific therapeutic strategies. Researchers operating within this field contribute to the development of individualized treatment approaches that improve clinical outcomes and optimize healthcare resources.[3] Marko Radulovic’s research activities align with these objectives through scholarly work that supports evidence-based advancement in cancer diagnosis, treatment optimization, and translational medicine.[2]

Research Profile

Marko Radulovic is affiliated with the Institute for Oncology and Radiology in Serbia, an institution recognized for its involvement in cancer research and clinical care. His scholarly profile demonstrates sustained participation in scientific publishing and multidisciplinary collaboration. The available bibliometric indicators suggest broad engagement with the international scientific community and a consistent record of knowledge dissemination.[1]

  • Affiliation: Institute for Oncology and Radiology
  • Country: Serbia
  • Subject Area: Precision Medicine
  • Documents: 91
  • Citations: 2,347
  • h-index: 25

Research Contributions

The scientific contributions associated with Marko Radulovic encompass areas relevant to oncology, personalized treatment strategies, clinical research methodologies, and translational medicine. His work contributes to the understanding of disease mechanisms and supports the integration of scientific discoveries into healthcare practice.[2]

  • Advancement of precision-based clinical approaches.
  • Contribution to oncology-related scientific literature.
  • Support for evidence-driven patient management strategies.
  • Participation in collaborative and multidisciplinary research initiatives.
  • Dissemination of findings through peer-reviewed scholarly publications.

Publications

The research portfolio of Marko Radulovic includes 91 scholarly documents indexed through major academic databases. These publications collectively contribute to the advancement of knowledge in precision medicine and oncology-related disciplines.[1]

  1. Peer-reviewed research articles.
  2. Clinical and translational research studies.
  3. Collaborative multidisciplinary publications.
  4. Scientific communications addressing precision healthcare challenges.

Research Impact

Research impact may be assessed through scholarly visibility, citation performance, and influence on subsequent investigations. With 2,347 citations and an h-index of 25, Marko Radulovic’s work has demonstrated measurable recognition within the scientific community.[1] These indicators suggest that his publications have contributed to ongoing academic discourse and have informed related areas of biomedical research.[2]

Award Suitability

Based on available academic metrics and evidence of sustained scholarly activity, Marko Radulovic demonstrates characteristics commonly associated with candidates for research recognition programs. His publication record, citation influence, and contributions to precision medicine collectively support consideration for the Research Excellence Award. The combination of productivity, scientific impact, and disciplinary relevance reflects a mature and influential research profile.[1]

Conclusion

Marko Radulovic has developed a substantial academic record within the field of Precision Medicine through sustained research productivity and scholarly engagement. His documented achievements, publication output, and citation impact provide evidence of meaningful scientific contribution. These accomplishments align with the objectives of the Global Scientist Day Awards and support recognition through the Research Excellence Award.[1]

References

  1. Google Scholar. (n.d.). Marko Radulovic Citation Profile and Scholarly Metrics. Google Scholar. https://scholar.google.com/citations?user=9GWuJvAAAAAJ&hl=en&oi=ao
  2. Discriminative Pattern Mining for Breast Cancer Histopathology Image Classification via Fully Convolutional Autoencoder.
    https://ieeexplore.ieee.org/abstract/document/8664469
  3. Pharmacology and Biology of Corticotropin-Releasing Factor (CRF) Receptors.
    https://www.tandfonline.com/doi/abs/10.3109/10606820213678
  4. Corticotropin-Releasing Factor Receptor 1 in Mouse Spleen: Expression After Immune Stimulation and Identification of Receptor-Bearing Cells. https://academic.oup.com/jimmunol/article-abstract/162/5/3013/8041238

Nathalie Sauvonnet | Research Excellence | Research Excellence Award

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Dr. Nathalie Sauvonnet | Research Excellence | Research Excellence Award 

Institut Pasteur | France

Dr. Nathalie Sauvonnet is a leading researcher in cell biology and microbiology, serving as Director of Research and group leader at Institut Pasteur. Her work focuses on host–pathogen interactions, endocytosis, and intestinal tissue homeostasis using advanced models such as organ-on-chip systems. She has extensive experience in academic research, international collaborations, and scientific leadership. Dr. Sauvonnet has supervised numerous students and researchers, secured major research funding, and contributed significantly to high-impact publications. She is actively involved in teaching, peer review, and scientific organizations, and is recognized for her expertise in cellular mechanisms underlying infection and immune responses.

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Sisay Alamneh | Research Excellence | Research Excellence Award

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Mr. Sisay Alamneh | Research Excellence | Research Excellence Award 

Ethiopian Public Health Institute – EPHI | Ethiopia 

Sisay Tadele Alamneh is a dedicated PhD fellow and researcher specializing in molecular epidemiology, with a strong focus on human papillomavirus (HPV), cervical cancer, and sexually transmitted infections. With extensive experience in public health, clinical laboratory science, and infectious disease research, he has developed expertise in advanced molecular techniques such as PCR and sequencing. He plays a key role in national surveillance programs, laboratory diagnostics, and outbreak response, including COVID-19 and Mpox. He is actively involved in research, training, and scientific publication, contributing to improved public health strategies and disease control initiatives in Ethiopia.

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Taeyoung Kyong | Medical Discoveries | Research Excellence Award

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Prof. Taeyoung Kyong | Medical Discoveries | Research Excellence Award

Yonsei University College of Medicine | South Korea

Professor Taeyoung Kyong is a distinguished hospitalist and academic at Yonsei University College of Medicine, specializing in internal medicine and diabetes care. His work focuses on hospitalist-led care models that enhance glycemic control, patient safety, and care transitions in inpatient settings. He has led and contributed to impactful clinical research, published extensively in indexed journals, and served as a reviewer for international medical journals. Through collaborations with leading hospitals and medical technology firms, he integrates digital health and AI-driven monitoring into clinical practice, advancing evidence-based hospital medicine and improving outcomes for patients with chronic diseases.
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Featured Publications

Ahmed Hamdan | Pharmaceutical and Clinical Sciences | Research Excellence Award

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Dr. Ahmed Hamdan | Pharmaceutical and Clinical Sciences | Research Excellence Award

University of Tabuk | Saudi Arabia

Dr. Ahmed Mohsen Elsaid Hamdan is an Assistant Professor in the Department of Pharmacology and Toxicology at the University of Tabuk, with more than 14 years of academic and research experience in pharmaceutical sciences. His research is centered on chronopharmacology, chronotherapeutics, and smart drug delivery systems, with a strong translational focus on neurological and neurodevelopmental disorders. His work aims to elucidate how biological rhythms and circadian regulation influence drug efficacy, toxicity, and disease progression. A major theme of Dr. Hamdan’s research is the development of evidence-based non-pharmacological and nutritional therapeutic strategies for neurodegenerative diseases such as Alzheimer’s and Parkinson’s diseases, as well as neurodevelopmental disorders including autism spectrum disorder and ADHD. He extensively investigates phytochemicals, probiotics (particularly Lactobacillus species), and nutraceuticals, emphasizing the gut–microbiome–brain axis as a key mechanistic pathway. His studies integrate pharmacological, behavioral, biochemical, and molecular approaches to identify novel therapeutic targets and mechanisms. In parallel, Dr. Hamdan has contributed significantly to advanced nano- and smart drug delivery systems for cancer therapy, dermatological disorders, infectious diseases, and chronic inflammatory conditions, enhancing drug bioavailability and therapeutic outcomes. His research portfolio also includes hepatoprotective and cardioprotective strategies and chronopharmacological exploration of natural products. Dr. Hamdan has published 105 peer-reviewed articles, with the majority appearing in high-impact Q1–Q2 journals, and holds an h-index of 26. He has secured 13 competitive research grants, is involved in an ongoing patent, and maintains active collaborations with national and international institutions, reflecting his strong commitment to innovative and multidisciplinary biomedical research.

Citation Metrics (Scopus)

1300
900
500
100
    0

Citations
1,047

Documents
69

h-index
19

Citations

Documents

h-index


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Featured Publications

Shohei Katsuya | Research Excellence | Excellence in Research

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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

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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

Li Yu | Research Excellence | Best Researcher Award

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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

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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.