Sakthivel Gandhi | Materials Science | Best Researcher Award

Dr. Sakthivel Gandhi | Materials Science | Best Researcher Award

Changwon National University | South Korea

Dr. Sakthivel Gandhi is a prolific researcher with significant contributions to nanomaterials, photoluminescence, electrochemical sensing, and hybrid material development, supported by an academic record of 956 citations, an h-index of 18, and an i10-index of 33. His research spans phosphor materials for photovoltaic and lighting applications, upconverting nanoparticles, polymer–MnO₂ nanocomposites for sanitizer technologies, and photocatalytic materials for antibiotic degradation in water. He works extensively on hybrid and mesoporous materials, remote phosphors, carbon- and silica-based nanostructures, metal–organic frameworks, and POSS-based systems. His publication profile, comprising more than 150 cumulative impact factor points, reflects strong multidisciplinary output across materials chemistry, electrochemistry, optoelectronics, and environmental engineering. He has developed innovations translated into patents, including mesoporous silica–based theranostic tools and advanced nanocomposites for electrochemical sensing. His entrepreneurial work includes the development of SENSOIL, a rapid free-radical detection tool for cooking oil, and Hutch-Patch, a sneeze sanitizer. In addition to journal contributions, he has authored book chapters and delivered numerous invited talks at international conferences, presenting advances in phosphor technologies, upconverting nanomaterials, and porous material applications. His overall scholarly record demonstrates sustained impact across nanotechnology, applied materials research, and translational sensor technologies.

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Featured Publications

Haiwei Wu | Engineering | Best Researcher Award

Prof. Dr. Haiwei Wu | Engineering | Best Researcher Award

Jilin Agricultural University | China

Prof. Dr. Haiwei Wu is an emerging multidisciplinary researcher whose contributions span energy systems, machine learning, spectroscopy, and intelligent diagnostics. His recent research focuses on advanced computational methods applied to energy storage and electric vehicle systems, including the development of an attention-based multi-feature fusion physics-informed neural network for accurate state-of-health estimation of lithium-ion batteries and the application of queuing-theoretic models for sustainable EV charging infrastructure planning. Beyond energy research, he has contributed significantly to the use of mid-infrared spectroscopy combined with machine learning and support vector machines for the authentication and identification of biological and agricultural products, reflecting strong capabilities in analytical modeling and pattern recognition. His publications from 2022 to 2025 highlight expertise in spectral analysis, counterfeit detection, and quality assessment. In addition, he has explored applications of improved YOLOv8 for mechanical part inspection and contributed to research on task-driven cooperative inquiry learning in education. His innovative work is supported by several patents related to electric vehicle charging technologies, demonstrating a commitment to advancing practical, technology-driven solutions across sectors.

Profile : Scopus | Orcid

Featured Publications

Wu, H., Liu, J., Wang, Z., & Li, X. (2025). An attention-based multi-feature fusion physics-informed neural network for state-of-health estimation of lithium-ion batteries. Energies.

Wang, Z., Zou, J., Tu, J., Li, X., Liu, J., & Wu, H. (2025). Towards sustainable EV infrastructure: Site selection and capacity planning with charger type differentiation and queuing-theoretic modeling. World Electric Vehicle Journal.

He, T., Kaimin, W., & Wu, H. (2025). Research on the construction and implementation of a task-driven cooperative inquiry learning model for postgraduate students majoring in music education. Chinese Music Education, (05), 47–53.

Yang, C.-E., Wu, H., Yuan, Y., et al. (2025). Efficient recognition of plum blossom antler hats and red deer antler hats based on support vector machine and mid-infrared spectroscopy. Journal of Jilin Agricultural University, 1–7.

Yang, C.-E., Su, L., Feng, W.-Z., Zhou, J.-Y., Wu, H.-W., Yuan, Y.-M., & Wang, Q. (2023). Identification of Pleurotus ostreatus from different producing areas based on mid-infrared spectroscopy and machine learning. Spectroscopy and Spectral Analysis.

Yang, C.-E., Su, L., Feng, W., et al. (2023). Identification of Pleurotus ostreatus from different origins by mid-infrared spectroscopy combined with machine learning. Spectroscopy and Spectral Analysis, 43(02), 577–582.

Yang, C.-E., Wu, H.-W., Yang, Y., Su, L., Yuan, Y.-M., Liu, H., Zhang, A.-W., & Song, Z.-Y. (2022). A model for the identification of counterfeited and adulterated Sika deer antler cap powder based on mid-infrared spectroscopy and support vector machines. Spectroscopy and Spectral Analysis.

Yang, C.-E., Wu, H., Yang, Y., et al. (2022). Identification model of counterfeiting and adulteration of plum blossom antler cap powder based on mid-infrared spectroscopy and support vector machine. Spectroscopy and Spectral Analysis, 42(08), 2359–2365.

Yucheng Lu | Neuroscience | Research Excellence Award

Prof. Yucheng Lu | Neuroscience | Research Excellence Award

Linyi People's Hospital | China

Prof. Yucheng Lu is a distinguished researcher whose scholarly contributions span cancer biology, immunology, and translational biomedical sciences. With 352 citations, 26 indexed publications, and an h-index of 13, he has established a strong research footprint in molecular oncology and disease pathology. Over his academic career, he has published 40 peer-reviewed papers, including 25 as first or corresponding author, reflecting consistent leadership in scientific inquiry. His work encompasses cutting-edge topics such as tumor-associated macrophage regulation in glioma, prognostic biomarkers in low-grade glioma, colorectal cancer therapeutics, and single-cell transcriptomics in esophageal cancer. In addition, he has explored metabolic and immunological disease interactions, cancer proliferation mechanisms, and neural electrophysiological responses. As a principal investigator, he has led 7 provincial and municipal research projects and contributed to 8 national and ministerial-level initiatives, demonstrating strong project management and interdisciplinary collaboration. His research excellence has earned 3 Science and Technology Achievement Awards, alongside innovations represented by 1 invention patent and 6 software copyrights. Through these achievements, Prof. Lu continues to advance biomedical research with significant scientific, clinical, and technological impact.

Profile : Scopus | Orcid

Featured Publications

Shi, H., Cheng, Y., Chao, D., Song, Q., Han, L., Li, H., Lu, Y., & Wang, M. (2025). Spatiotemporal profiling of endocytic regulators in the immunosuppressive TAM microenvironment of glioma. Brain Research, 150086. (In press)

Author names not provided. (2025). Identification of CDKN3 overexpression as a marker of poor prognosis and potential therapeutic target in low-grade glioma. Scientific Reports.

Author names not provided. (2025). Okanin suppresses the growth of colorectal cancer cells by targeting Peroxiredoxin 5. Advanced Science.

Shi, K., Li, Y., Yang, L., Zhang, Z., Guo, D., Zhang, J., & Lu, Y. (2022). Profiling transcriptional heterogeneity of epithelium, fibroblasts, and immune cells in esophageal squamous cell carcinoma by single-cell RNA sequencing. The FASEB Journal, 0892-6638.

Zhao, J. Z., Lu, Y. C., Wang, Y. M., Xiao, B. L., Li, H. Y., Lee, S. C., & Wang, L. J. (2022). Association between diabetes and acute lymphocytic leukemia, acute myeloid leukemia, non-Hodgkin lymphoma, and multiple myeloma. International Journal of Diabetes in Developing Countries, 0973-3930.

Shi, K., Zhang, J. Z., Yang, L., Li, N. N., Yue, Y., Du, X. H., Zhang, X. Z., Lu, Y. C., & Guo, D. (2021). Protein deubiquitylase USP3 stabilizes Aurora A to promote proliferation and metastasis of esophageal squamous cell carcinoma. BMC Cancer, 1471-2407.

Lu, Y., Lv, B., & Song, Q. (2019). Transcranial electrical stimulation motor-evoked potentials in a spinal cord ischaemia rabbit model. Chinese Neurosurgical Journal, 2057-4967.

Lu, Y. C., Wang, P., Wang, J., Ma, R., & Lee, S. C. (2019). PCNA and JNK1-Stat3 pathways respectively promote and inhibit diabetes-associated centrosome amplification by targeting the ROCK1/14-3-3σ complex in human colon cancer HCT116 cells. Journal of Cellular Physiology.

Donglin Zu | Physics and Astronomy | Research Excellence Award

Prof. Donglin Zu | Physics and Astronomy | Research Excellence Award

Peking University | China

Prof. Donglin Zu is a distinguished physicist whose career spans pioneering contributions to electromagnetics, nuclear magnetic resonance (NMR), magnetic resonance imaging (MRI), and, more recently, photon structure theory. His early work involved teaching electromagnetics and developing an independent NMR magnetometer, along with solving key control challenges in high-voltage electrostatic accelerators. His international research experience includes studying RF superconducting cavities at Cornell University, followed by leading a major project on the practical design of niobium cavities. Over two decades, he made significant advances in MRI engineering, contributing to wavelet-based medical image fusion, high-resolution NMR spectral reconstruction, shim coil design, permanent-magnet MRI optimization, and low-noise preamplifier development. He authored influential textbooks on electrodynamics and MRI, widely adopted in advanced training and research. His extensive publication record encompasses innovations in superconducting magnets, ferromagnetic shimming, pulse sequence optimization, image contrast mechanisms, and magnet design methodologies. As a long-term consultant to MRI industries, he helped translate theoretical principles into practical imaging technologies. In recent years, his research has shifted toward foundational physics, producing breakthrough models on single-photon structures, standing-wave photon behavior in constrained spaces, and multi-photon composite systems, marking a new phase of theoretical advancement with impactful emerging publications.

Profile : Orcid

Featured Publications

Zu, D. (2025). Standing wave photon structures in constraint spaces. Photonics.

Zu, D. (2025). Standing wave photon structures in constraint spaces [Preprint].

Zu, D. (2025). Single photon structure model and multi-photon composite monomer. Optics Express.

Zu, D. (2016). Electrodynamics (Rev. ed.). Tsinghua University Press.

Zu, D. (2015). Nuclear magnetic resonance imager. Science Press.

Zu, D., & Gao, J. (2014). Nuclear magnetic resonance imaging. Peking University Press.

Liu, W., Casanova, F., Blümich, B., & Zu, D. (2012). An efficacious target-field approach to design shim coils for Halbach magnet of mobile NMR sensors. Applied Magnetic Resonance.

Zhao, X., Wen, Z., Huang, F., Lu, S., Wang, X., Hu, S., Zu, D., & Zhou, J. (2011). Saturation power dependence of amide proton transfer image contrasts in human brain tumors and strokes at 3 T. Magnetic Resonance in Medicine.

Cao, X., Zu, D., Zhao, X., Fan, Y., & Gao, J. (2011). The design of a low-noise preamplifier for MRI. Science China Technological Sciences.

Tang, X., Zu, D., Wang, T., & Han, B. (2010). An optimizing design method for a compact iron-shielded superconducting magnet for use in MRI. Superconductor Science and Technology.

Tang, X., Li-Ming, H., & Zu, D.-L. (2010). Active ferromagnetic shimming of the permanent magnet for magnetic resonance imaging scanner. Chinese Physics B.

Zhao, X., Chen, M., Zhang, C., Hu, S., & Zu, D. (2010). Experimental evaluation of dual acceptance window weighting function for right coronary MR angiography at 3.0 T. Magnetic Resonance Imaging.

Zu, D., Liming, H., Xueming, C., & Xin, T. (2010). Analysis on background magnetic field to generate eddy current by pulsed gradient of permanent-magnet MRI. Science China Series E.

Saroj Jha | Business, Management and Accounting | Best Researcher Award

Mr. Saroj Jha | Business, Management and Accounting | Best Researcher Award

St. John College of Humanities and Sciences | India

Mr. Saroj Jha is an emerging researcher with a growing academic footprint, reflected in 7 citations, an h-index of 2, and multiple scholarly documents produced since 2020. His research spans consumer behavior, sustainable development, fintech, microfinance, social entrepreneurship, and tourism-related policy studies. He has presented his work at several international and national conferences, contributing insights on technological innovation, sustainability, youth employability, and global transformations. His publications include UGC CARE, peer-reviewed, and ABDC-indexed articles covering themes such as online buying behavior, demographic influences on health insurance perception, green cosmetic branding, traditional knowledge in tourism development, small-scale investment behavior, customer satisfaction and brand loyalty, socio-legal dimensions of communal intellectual property, and microfinance dynamics for women entrepreneurs. He has authored impactful book chapters addressing sustainable development goals, social entrepreneurship, and evolving business models, and contributed to university-level fintech textbooks aligned with the NEP 2020 curriculum. His innovative mindset is further evidenced through patents, including a solar-powered shopping assistant device and an AI-based share market analysis device. His engagement in seminars, workshops, and public outreach through newspaper publications highlights his commitment to both academic progress and community-oriented initiatives.

Profile : Google Scholar

Featured Publications

Atsar, A., Surya, I., Zunnuraeni, Z., & Jha, S. (2023). Implementation of the use and protection of traditional knowledge for sustainable tourism development. Pandecta Research Law Journal, 18(2), 195–215.

Jha, P. S. D. (2023). Consumer perceptive for green cosmetic brands: A market analysis in Palghar District. ResearchGate.

Jha, S. (2024). Sustainable development goals & business sustainability. Information Privacy, 12(1), 45–58.

Jha, S. D. (2025). A bibliometric study of microfinance initiatives in India’s entrepreneurial ecosystem: Special emphasis on women entrepreneurs in rural areas. Journal of International Commercial Law and Technology, 6(1), 856–862.

Atsar, A., Surya, I., Nugraha, L. G., & Jha, S. (2025). Socio-legal review of the implementation of identification and inventory of communal intellectual property for tourism development. SASI, 31(2), 107–116.

Jha, S. D. (2024). An analysis between customer satisfaction and brand loyalty across different types of brands. European Economic Letters, 14(4), 1146–1152.

Jha, S. D. (2024). Recent trends in commerce, management, accountancy and business economics.

Jha, S. D. (2024). Blockchain and AI in business.

Tiwari, A. M., & Jha, S. D. (2024). A study on social entrepreneurship and sustainable business models. In Blockchain and AI in business (p. 141).

Jha, S. D., & Tiwari, A. M. (2024). A study on progress of sustainable development goals with special reference to Maharashtra. In Sustainable development goals & business sustainability (p. 256).

Jha, S. D. (2023). Demographic factors determining consumer perception regarding health insurance in Palghar District of Maharashtra: An empirical study. Advance and Innovative Research, 208.

Revankar, S., Sen, S., & Sahu, D. (2020). Proceedings of International Conference on Thermofluids.

Jha, S. D. (2024). An analysis between customer satisfaction and brand loyalty across different types of brands.

Research Excellence Award

 

Introduction

Welcome to the prestigious Research Excellence Award, recognizing outstanding contributions to the world of research and innovation. This coveted accolade celebrates researchers who have made significant strides in advancing knowledge and creating a meaningful, positive impact in their respective fields.

Award Overview

The Research Excellence Award is open to individuals across diverse disciplines who have demonstrated exceptional dedication, innovation, and achievements in research. This honor acknowledges those whose work has significantly influenced their field, fostering progress, creativity, and scientific advancement.

Eligibility

  • Open to researchers of all ages, with no age restrictions.

  • Candidates must hold at least a Master’s degree in a relevant field.

  • Evaluation will consider the quality, relevance, and impact of the candidate’s publications.

  • Past awardees are welcome to apply again, showcasing their continued excellence and contributions.

Evaluation Criteria

Candidates will be assessed based on:

  • Significance and impact of their research contributions.

  • Innovation, originality, and problem-solving approach within their work.

  • Quality and quantity of publications in reputable outlets.

  • Demonstrated commitment to advancing knowledge and contributing to their field.

Submission Guidelines

Applicants must submit the following:

  • A comprehensive biography.

  • An abstract summarizing key research contributions.

  • Supporting files that highlight the depth, quality, and impact of their research.

  • Detailed information on publications and scholarly outputs.

Recognition

Recipients of the Research Excellence Award will receive:

  • A prestigious trophy or award shield.

  • Public acknowledgment through official platforms and media channels.

  • Networking opportunities with leading researchers and professionals.

  • Invitations to special events, conferences, and award ceremonies.

Community Impact

Beyond individual accomplishments, this award honors researchers whose work has made a positive impact on the community, society, and broader scientific ecosystem, promoting the greater good through innovation and knowledge dissemination.

Biography Requirement

Applicants must provide a detailed biography outlining their academic background, research journey, major achievements, and contributions to their field.

Abstract and Supporting Files

Each submission must include:

  • A comprehensive abstract that captures the essence, objectives, and outcomes of the research.

  • Supporting documents/files that demonstrate the depth, rigor, and real-world impact of the research.

Massimo Bonucci | Medicine and Dentistry | Best Researcher Award

Prof. Dr. Massimo Bonucci | Medicine and Dentistry | Best Researcher Award

Humanitas Consortium University - ARTOI Foundation | Italy

Prof. Dr. Massimo Bonucci is a distinguished researcher whose scholarly contributions span integrative oncology, cancer therapeutics, and complementary medical approaches. With 153 citations from 153 documents, 20 published documents, and an h-index of 8, his scientific work reflects a growing influence in evidence-based integrative cancer research. His publications demonstrate a strong focus on combining conventional oncology with complementary modalities to enhance patient outcomes, as seen in studies addressing glioblastoma survival, integrative management of myeloproliferative neoplasms, and the synergistic effects of natural compounds such as curcumin, polydatin, and epigallocatechin gallate. His research portfolio includes influential articles in journals such as Journal of Clinical Medicine, Cancers, Onco, Journal of Integrative and Complementary Medicine, and the International Journal of Integrative Oncology, covering topics from locoregional hyperthermia to hematologic diseases, qualitative patient-care insights, and global initiatives in integrative oncology. Recent works explore advancements in dietary supplements, hyperthermia applications, patient-centered care strategies, and international collaborations within the integrative oncology community. Through his continuous contributions and multidisciplinary perspective, Prof. Dr. Bonucci has helped expand the scientific foundation of integrative oncology, supporting its development as a complementary framework within modern cancer research.

Profiles : Scopus | Orcid

Featured Publications

Andreazzoli, F., Yurkovski, I. L., Gowin, K., & Bonucci, M. (2025). Management of myeloproliferative neoplasms: An integrative approach. Journal of Clinical Medicine.

Bonucci, M., Fuggetta, M. P., Anelli, L., Giannarelli, D., Fiorentini, C., & Ravagnan, G. (2025). New approach for enhancing survival in glioblastoma patients: A longitudinal pilot study on integrative oncology. Cancers.

Fiorentini, G., Sarti, D., Mambrini, A., Mattioli, G., Bonucci, M., Ginocchi, L., Cristina, G., Ranieri, G., Bonanno, S., Milandri, C., et al. (2025). Locoregional hyperthermia in cancer treatment: A narrative review with updates and perspectives. Onco.

Bonucci, M. (2025). Superior oral bioavailability of epigallocatechin gallate from TèPigal 300®, a dietary supplement versus a cup of green tea. Journal of Clinical Medical Research.

Stylianou, K., Fuller-Shavel, N., Ghelman, R., Ben-Arye, E., Bonucci, M., Jia, L., Narayanan, S., & Rao, S. (2025). Bridging borders in integrative oncology: A global initiative by the Society for Integrative Oncology. Journal of Integrative and Complementary Medicine.

Bonucci, M. (2025). Introduction to hematologic diseases and integrative therapies: The use of natural supplements and complementary therapies with clinical and preclinical evidence. Figshare.

Chiarlone, P. (2024). Words are life: Written memories in the hospice experience—A qualitative study. International Journal of Integrative Oncology.

Serafino, A., Krasnowska, E. K., Romanò, S., De Gregorio, A., Colone, M., Dupuis, M. L., Bonucci, M., Ravagnan, G., Stringaro, A., & Fuggetta, M. P. (2024). The synergistic combination of curcumin and polydatin improves temozolomide efficacy on glioblastoma cells. International Journal of Molecular Sciences.

Mazzotti, E. (2024). Physical activity in the treatment of cancer patients: An online survey for Italian oncologists and radiotherapists. International Journal of Integrative Oncology.

Mazzotti, E. (2024). Letter to editor on: A feasibility study for the acceptability of virtual reality for patients with cancer undergoing treatment. International Journal of Integrative Oncology.

Cracolici, F. (2024). Improving the quality of life of breast cancer patients with integrated medicine techniques. International Journal of Integrative Oncology.

Anelli, L. (2024). Case report of possible abscopal effect in a patient with metastatic bladder cancer treated with radiotherapy and Artemisia compounds. International Journal of Integrative Oncology.

Elisa Placidi | Physics and Astronomy | Best Researcher Award

Dr. Elisa Placidi | Physics and Astronomy | Best Researcher Award

Fondazione Policlinico Universitario Agostino Gemelli IRCCS |Italy

Dr. Elisa Placidi is a distinguished researcher in medical physics and interventional radiotherapy, with a strong publication record reflected in 785 citations, an h-index of 16, and 26 i10-index publications. Her research focuses on advancing modern brachytherapy, improving dosimetric accuracy, and integrating innovative technologies such as 3D-printed applicators and image-guided systems. She has contributed extensively to studies evaluating the dosimetric impact of air gaps in high-dose-rate contact radiotherapy for non-melanoma skin cancers, the transition from PDR to HDR techniques for head and neck tumors, and the development of multilayer, high-density shielding applicators for personalized treatment. Her work also includes retrospective comparisons of HDR brachytherapy versus VMAT and electron beam therapy, investigations into patient-reported outcomes in nasal vestibule treatments, and characterization of plastic scintillator detectors for in vivo dosimetry. In her clinical role as a medical physicist, she supports treatment planning and optimization for external beam and interventional radiotherapy, contributing to high-precision cancer care. Complementing her clinical and research activities, she is involved in quality assurance and the academic training of future professionals in physics and radiological safety.

Profiles : Scopus | Orcid | Google Scholar

Featured Publications

Rosa, E., Fionda, B., Vaccaro, M., Placidi, E., Lancellotta, V., Napolitano, A., Pastore, F., Greco, F., Dragonetti, P., La Milia, M. C., et al. (2025). Dosimetric impact of air gaps in high-dose-rate contact interventional radiotherapy (modern brachytherapy) for non-melanoma skin cancer of the ear. Journal of Clinical Medicine, 14(21).

van Noortwijk, R., Kroon, P., Kastelijns, M., Jürgenliemk-Schulz, I., Verduijn, G., Kolkman-Deurloo, I.-K., Tagliaferri, L., Fionda, B., Placidi, E., Al-Mamgani, A., et al. (2025). A review on the transition from PDR to HDR brachytherapy (interventional radiotherapy) for treatment of head and neck cancer: Clinical and practical aspects. Brachytherapy.

Rosa, E., Raponi, S., Fionda, B., Vaccaro, M., Napolitano, A., Lancellotta, V., Pastore, F., Ciasca, G., Siebert, F.-A., Tagliaferri, L., et al. (2025). Intensity-modulated interventional radiotherapy using 3D-printed applicators with multilayer geometry and high-density shielding materials for NMSC treatment. Journal of Personalized Medicine, 15(10).

Rosa, E., Raponi, S., Fionda, B., Vaccaro, M., Lancellotta, V., Napolitano, A., Ciasca, G., Bannoni, L., Cornacchione, P., Tagliaferri, L., et al. (2025). 3D-printed devices in interventional radiotherapy (brachytherapy) applications: A literature review. Journal of Personalized Medicine, 15(6).

Tagliaferri, L., Manfrida, S., Fionda, B., Dinapoli, N., Barbaro, B., De Luca, V., Placidi, E., Bertolini, R., Marazzi, F., Lancellotta, V., et al. (2025). High-tailored anal canal radiotherapy (HIT-ART): Long-term results of MR image-guided interventional radiotherapy boost. Brachytherapy.

Placidi, E., Fionda, B., Rosa, E., Lancellotta, V., Napolitano, A., De Angeli, M., Ciasca, G., Pastore, F., Gambacorta, M. A., Tagliaferri, L., et al. (2024). Retrospective dosimetric comparison of HDR interventional radiotherapy versus planning with VMAT and electron beam therapy for non-melanoma skin cancer treatment. Applied Sciences, 14(22).

Tagliaferri, L., Sciurti, E., Fionda, B., Loperfido, A., Lancellotta, V., Placidi, E., Parrilla, C., La Milia, M. C., Rosa, E., Rigante, M., et al. (2024). PRO-NOVELTY: Patient-reported outcomes in nose vestibule interventional radiotherapy (brachytherapy). Journal of Clinical Medicine, 13(16).

Herreros, A., Pérez-Calatayud, J., Ballester, F., Abellana, R., Neves, J., Melo, J., Moutinho, L., Tarrats-Rosell, J., Serrano-Rueda, S., Tagliaferri, L., et al. (2024). Characterization of plastic scintillator detector for in vivo dosimetry in gynecologic brachytherapy. Journal of Personalized Medicine, 14(3).

Yendouhamtchié Nadiedjoa | Agricultural and Biological Sciences | Best Researcher Award

Dr. Yendouhamtchié Nadiedjoa | Agricultural and Biological Sciences | Best Researcher Award

Shandong Agricultural University | Togo

Dr. Yendouhamtchié Nadiedjoa is a dedicated researcher in animal sciences, focusing on sustainable nutrition strategies that enhance poultry productivity while reducing dependence on conventional feed resources. His work centers on developing ecological, cost-effective, and long-term sustainable alternatives that do not compete with human food systems, thereby supporting both food security and environmental protection. His research interests include poultry science and physiology, stress responses in birds, energy metabolism, efficient production systems, and nutritional regulation aimed at improving overall animal health. He conducts research through international academic collaborations, contributing to advancements in non-grain feed resource utilization and environmentally sound agricultural practices. A key contribution of his scholarly work is the investigation of maggot oil derived from the Black Soldier Fly (Hermetia illucens) as an innovative feed component in poultry production. In a 2025 study published in Animals, he examined the effects of in ovo injection timing and dosing of maggot oil on hatching success, growth performance, and biochemical parameters in broiler chicks. This research provided valuable insights into the potential of insect-based oils to enhance early-life development and support sustainable poultry nutrition. His contributions continue to promote healthier, more efficient, and environmentally responsible poultry production systems.

Profile : Orcid

Featured Publication

Nadiedjoa, Y., Wang, X., Attivi, K., Okai, M. A., Xin, Q., Mijiyawa, A., Maa Maa, C. T., Zhao, J., Jiao, H., Agboka, K., et al. (2025). The effect of in ovo injection time and dose of maggot oil from Hermetia illucens on hatching rate, growth performance, and biochemical parameters of broiler chicks. Animals, 15(21), 3115.

Miraxmat Mirsaburov | Mathematics | Excellence in Research Award

Mr. Miraxmat Mirsaburov | Mathematics | Excellence in Research Award

Termez State University | Uzbekistan

Mr. Miraxmat Mirsaburov is a mathematician whose research focuses on boundary-value and nonlocal problems for mixed-type and degenerate hyperbolic equations, with particular emphasis on singular coefficients, transmission conditions, and characteristic-based constraints. Across a corpus of 41 documents, his work—which has accrued 81 citations  yields an h-index of 5—systematically develops existence, uniqueness, and formulation results for classes of Gellerstedt-, Tricomi- and Bitsadze–Samarskii–type problems, addressing challenges such as missing Goursat or shift conditions, Frankl and Bitsadze–Samarskii analogues on degeneration segments, and problems posed in unbounded domains. His publications combine rigorous analytical techniques with careful handling of singularities and degeneracy lines, producing solvability theorems and novel transmission conditions that extend classical theory to more physically and geometrically complex settings. Collaborative work with colleagues has produced advances in generalizing the Tricomi problem, treating singular coefficients, and proposing integral and boundary frameworks adaptable to mixed elliptic–hyperbolic regimes. Mirsaburov’s contributions appear in respected journals (including Russian Mathematical Surveys, Differential Equations, and Lobachevskii Journal of Mathematics), and his sustained focus on mixed-type equations has provided useful tools and formulations for researchers addressing applied problems where equation type and coefficient singularities complicate classical approaches.

Profile : Scopus

Featured Publications

Mirsaburov, M., & Mamatmuminov, D. T. (2025). A problem with an analogue of the Bitsadze–Samarskii condition on the segment of degeneracy and an internal segment parallel to it in the domain for a certain class of degenerate hyperbolic equations. Russian Mathematics, 69, 19–23.

Mirsaburov, M., & Turaev, R. N. (2024). On a nonlocal problem for the Gellerstedt equation with singular coefficients. Differential Equations, 60, 1074–1086.

Mirsaburov, M. M., & Allakova, S. I. (2024). An analogue of the Zhegalov problem with data on internal characteristics for a mixed-type equation with a singular coefficient. Lobachevskii Journal of Mathematics, 45, 5637–5648.

Mirsaburov, M., Berdyshev, A. S., Ergasheva, S. B., & Makulbay, A. B. (2024). The problem with the missing Goursat condition at the boundary of the domain for a degenerate hyperbolic equation with a singular coefficient. Bulletin of the Karaganda University: Mathematics Series, 2(114), 147–164.

Mirsaburov, M., & Turaev, R. N. (2023). A problem in an unbounded domain with combined Tricomi and Frankl conditions on one boundary characteristic for one class of mixed-type equations. Russian Mathematics, 67, 34–46.

Mirsaburov, M., & Ergasheva, S. B. (2023). The problem in the unbounded domain with the Frankl condition on the segment of the degeneration line and with a missing Gellerstedt condition for a class of mixed-type equations. Russian Mathematics, 67, 18–26.

Mirsaburov, M., & Khurramov, N. K. (2021). A problem with local and nonlocal conditions on the boundary of the ellipticity domain for a mixed-type equation. Russian Mathematics, 65, 68–81.

V., M., & Islomov, N. B. (2021). Problem with a Bitsadze–Samarskii condition on parallel characteristics for a mixed-type equation of the second kind. Differential Equations, 57, 1358–1371.

Mirsaburov, M., Begaliev, O., & Khurramov, N. K. (2019). Generalization of the Tricomi problem. Differential Equations, 55, 1084–1093.

Mirsaburov, M., & Khurramov, N. (2020). A problem with the Bitsadze–Samarskii condition on the characteristics of one family and with general transmission conditions on the degeneration line for the Gellerstedt equation with a singular coefficient. Differential Equations, 56, 1050–1071.

Mirsaburov, M. (2018). The problem with missing shift condition for the Gellerstedt equation with a singular coefficient. Russian Mathematics, 62, 44–54.