Vandi Dlama Kamaunji | Research Excellence | Best Researcher Award

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Dr. Vandi Dlama Kamaunji | Research Excellence | Best Researcher Award

Dr. Vandi Dlama Kamaunji | Tyeeli New Energy Company Limited | Nigeria

Dr. Vandi Dlama Kamaunji is a geologist and geochemist with a strong background in mineral exploration, petrology, geochemistry, and geological mapping. His professional experience spans academic, industrial, and research roles, focusing on the geological evolution, petrogenesis, and mineralization of alkaline and peralkaline complexes in Nigeria and China. He has served as an Exploration/Resource Geologist at Wanrun Mining Company Limited, where he led geological field surveys, core logging, mineral resource estimations, and geophysical data interpretation to support mineral exploration and development projects. His work also included environmental impact assessments, data management, and regulatory compliance. Previously, as a Part-Time Lecturer at Adamawa State University, he delivered courses in ore deposits and geochemistry, supervised research projects, and contributed to curriculum development and academic mentorship. Earlier in his career, he held a leadership role as Head of Geology at L&T Hydrogeo-Engineering Company, where he conducted geophysical surveys, oversaw mineral exploration operations, and managed multidisciplinary geological teams. Dr. Kamaunji’s research contributions include multiple publications in high-impact international journals such as Lithos, International Geology Review, Geological Journal, and Journal of African Earth Sciences. His studies cover diverse topics such as tectonomagmatic processes, isotopic geochemistry, remote sensing applications, and mineral resource potential in Nigeria’s basement complexes and ring structures. His scientific expertise encompasses mineralogy, isotope and trace-element geochemistry, ore deposit modeling, and analytical techniques such as EPMA, LA-ICP-MS, ICP-MS, XRF, and SEM. He is actively engaged in international collaborations and professional organizations, including the International Association of Geochemistry, European Association of Geochemistry, Society of Economic Geologists, and the Nigerian Mining and Geoscience Society. Dr. Kamaunji has received several academic and merit awards, including the Excellent Graduate Award (Ph.D.) and the Excellent Master’s Dissertation Award from the China University of Geosciences, as well as the prestigious Chinese Government Scholarships for both his Master’s and Doctoral studies.

Profile: Google Scholar

Featured Publications

Kamaunji, V. D., Wang, L. X., Ahmed, H. A., Zhu, Y. X., Vincent, V. I., & Girei, M. B. (2020). Coexisting A1 and A2 granites of Kudaru Complex: Implications for genetic and tectonic diversity of A-type granite in the Younger Granite Province, north-central Nigeria. International Journal of Earth Sciences, 109(2), 511–535. https://doi.org/10.1007/s00531-020-01818-8

Kamaunji, V. D., Wang, L. X., Ma, C. Q., Liu, J., & Zhu, Y. X. (2021). Petrogenesis and tectonic implication of the Permian–Triassic syenogranites from the eastern segment of the East Kunlun Orogen, China. Lithos, 402, 105932. https://doi.org/10.1016/j.lithos.2020.105932

Vincent, V. I., Wang, L. X., Zhu, Y. X., Kamaunji, V. D., Ahmed, H. A., Ntekim, E. E., & Cao, L. (2022). Onset of the anorogenic alkaline magmatism in the Nigerian Younger Granite Province: Constraints from the Daura and Dutse complexes. Lithos, 410, 106561. https://doi.org/10.1016/j.lithos.2021.106561

Vincent, V. I., Li, H., Girei, M. B., Förster, M. W., & Kamaunji, V. D. (2023). Tourmaline and zircon trace the nature and timing of magmatic-hydrothermal episodes in granite-related Sn mineralization: Insights from the Libata Sn ore field. American Mineralogist, 108(3), 552–571. https://doi.org/10.2138/am-2023-8334

Ahmed, H. A., Wang, L. X., Ma, C. Q., Abdallsamed, M. I. M., Girei, M. B., Zhu, Y. X., Vincent, V. I., & Kamaunji, V. D. (2021). Contrasting Neoproterozoic and Mesozoic granitoids in Zaranda Complex (Nigeria): Insights into the distinct origins, tectonic settings, and mineralization potential. International Journal of Earth Sciences, 110(4), 1389–1413. https://doi.org/10.1007/s00531-021-02021-z

 

Ludovica Di Renzo | Research Excellence | Women Researcher Award

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Dr. Ludovica Di Renzo | Research Excellence | Women Researcher Award 

Dr. Ludovica Di Renzo | Istittuto Zooprofilattico Sperimentale G.Caporale | Italy

Dr. Ludovica Di Renzo is an accomplished veterinary researcher specializing in marine animal health, wildlife pathology, and aquaculture sustainability. With a career devoted to understanding the effects of emerging diseases, pollutants, and environmental stressors on aquatic species, she has made significant contributions to marine ecosystem monitoring and animal welfare. Currently serving as a Researcher at the Istituto Zooprofilattico Sperimentale dell’Abruzzo e del Molise “G. Caporale”, she brings extensive experience in diagnostics of wild and stranded marine animals, including necropsy, histology, parasitology, cytology, and molecular diagnostics. Her research also extends to microplastics detection and the assessment of their biological impacts on marine organisms. Dr. Di Renzo holds a Doctor of Veterinary Medicine (DVM), a PhD in Veterinary Medical Sciences, Public Health, and Animal Welfare, along with postgraduate specializations in Laboratory Animal Science and Medicine and dual second-level master’s degrees in Aquaculture of the Future and Healthcare Management and Administration. Her interdisciplinary background bridges veterinary pathology, marine ecology, and environmental biotechnology, positioning her at the forefront of integrated marine health research. She is the author and co-author of over 35 peer-reviewed scientific publications featured in leading journals such as Pathogens, Marine Pollution Bulletin, Environmental Pollution, Animals, PLoS One, and Scientific Reports. Her impactful work on cetacean diseases, sea turtle health, microplastics contamination, and zoonotic pathogens has earned her international recognition, contributing to global marine conservation efforts. Beyond her research, Dr. Di Renzo actively participates in national scientific boards and committees on aquaculture and wildlife health, providing expert advisory input for policy and conservation strategies. She has delivered numerous presentations at international conferences including the European Cetacean Society, World Marine Mammal Conference, and International Sea Turtle Symposium, sharing insights into the health challenges facing marine wildlife. Fluent in Italian and English, with intermediate Portuguese proficiency gained through Erasmus experience at the University of Lisbon, she also dedicates her time to volunteer work with Centro Studi Cetacei Onlus and Sub Loto, supporting marine rescue and rehabilitation initiatives. Dr. Ludovica Di Renzo’s scholarly impact is reflected in 36 documents, 318 citations, and an h-index of 11, underscoring her sustained contributions to advancing veterinary and marine science globally.

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Featured Publications

Di Renzo, L., Mariani, G., Matiddi, M., Silvestri, C., Chiesa, S., Petochi, T., Marino, G., Pizzurro, F., Fazio, S., Rossi, E., et al. (2025, October 6). First survey on sea turtles’ interactions in mussel farms in Italy. Animals, 15(19), 2909. https://doi.org/10.3390/ani15192909

Pizzurro, F., Nerone, E., Di Domenico, M., Ancora, M., Mincarelli, L. F., Salini, R., Di Renzo, L., Fazio, S., & Recchi, S. (2025, April 3). Realistic environmental exposure of microplastics in European flat oyster, Ostrea edulis: Evaluation of accumulation and depuration under controlled conditions and molecular assessment of a set of reference genes. Water, 17(7), 1063. https://doi.org/10.3390/w17071063

Di Febo, T., Di Francesco, G., Grattarola, C., Sonsini, L., Di Renzo, L., Lucifora, G., Puleio, R., Di Francesco, C. E., Smoglica, C., Di Guardo, G., et al. (2025, January 2). Serological diagnosis of Brucella infection in cetaceans by rapid serum agglutination test and competitive ELISA with Brucella abortus and Brucella ceti as antigens. Pathogens, 14(1), 26. https://doi.org/10.3390/pathogens14010026

Grattarola, C., Pietroluongo, G., Belluscio, D., Berio, E., Canonico, C., Centelleghe, C., Cocumelli, C., Crotti, S., Denurra, D., Di Donato, A., et al. (2024, September). Pathogen prevalence in cetaceans stranded along the Italian coastline between 2015 and 2020. Pathogens, 13(9), 762. https://doi.org/10.3390/pathogens13090762

Di Renzo, L., De Angelis, M. E., Torresi, M., Mariani, G., Pizzurro, F., Mincarelli, L. F., Esposito, E., Oliviero, M., Iaccarino, D., & Di Nocera, F., et al. (2024, April 18). Genomic characterization of Listeria monocytogenes and other Listeria species isolated from sea turtles. Microorganisms, 12(4), 817. https://doi.org/10.3390/microorganisms12040817

Evangelos Kourdis | Research Excellence | Best Researcher Award

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Prof. Dr. Evangelos Kourdis | Research Excellence | Best Researcher Award

Prof. Dr. Evangelos Kourdis | Aristotle University of Thessaloniki | Greece

Professor Evangelos Kourdis has established a distinguished academic presence in the interdisciplinary fields of translation semiotics, sociolinguistics, and cultural communication. He has authored 23 research documents, each contributing to the advancement of semiotic and translation theory. His works have been cited by 70 international publications, underscoring their scholarly reach and recognition. According to Scopus, his current h-index is 4, reflecting consistent and high-quality research output. His studies integrate semiotic methodologies with translation theory, bridging conceptual gaps between linguistic and cultural analysis. These contributions have positioned him as a key figure in modern semiotic scholarship. His publications in reputed journals such as Semiotica, Social Semiotics, and Signs and Society highlight his academic excellence. By fostering collaboration among European semiotic schools, he enriches global dialogue in meaning-making and communication. His research output reflects both depth in theoretical innovation and breadth in application. The increasing citations across major indexing platforms indicate international trust in his frameworks. Professor Kourdis’s scholarship demonstrates an enduring commitment to advancing semiotic research in translation and intercultural studies. These metrics collectively affirm his role as a globally recognized and influential scholar in his field.

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Featured Publications

Kourdis, E. (2025). Multimodal, polysemiotic, multisemiotic: A necessary demarcation for semiotics and translation studies. Social Semiotics. Advance online publication. https://doi.org/10.1080/10350330.2025.2562390

Kourdis, E. (2024). Les orientations disciplinaires de la sémiotique: L’état de la question. Degres, 53(197–198), c1–c21.

Kourdis, E. (2024, December 30). Kristeva’s impact on translation and the interplay of intertextuality, transposition and intersemiosis. Acta Nova Humanistica: A Journal of Humanities Published by New Bulgarian University, 24(1), Article 9. https://doi.org/10.33919/anhnbu.24.1.9

Kourdis, E. (2024, December 2). Intersemiotic translations of Greek popular films in the film industry and media. Signs and Media, 2590(0323), Article 12340032. https://doi.org/10.1163/25900323-12340032

Yoka, L., & Kourdis, E. (2023). Introduction: Signs of Europe: Discourses, mythologies, politics of representation. In L. Yoka & E. Kourdis (Eds.), Signs of Europe: Discourses, mythologies, politics of representation (pp. 9–19). Thessaloniki: Hellenic Semiotic Society. https://doi.org/10.26262/FTMV-XR69

Sayak Chatterjee | Research Excellence | Best Researcher Award

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Dr. Sayak Chatterjee | Research Excellence | Best Researcher Award

Dr. Sayak Chatterjee | University of Massachusetts | United States

Dr. Sayak Chatterjee is a distinguished Postdoctoral Research Scholar in the Department of Physics at the University of Massachusetts Amherst, USA, specializing in experimental high-energy nuclear and particle physics. His research focuses on precision measurements, detector development, and high-rate data acquisition systems for frontier experiments such as MOLLER at Jefferson Lab and CBM at FAIR, Germany. With advanced expertise in Gas Electron Multipliers (GEM), Cherenkov detectors, and GEANT4-based simulations, he has contributed significantly to detector innovation and performance optimization. Dr. Chatterjee has an impressive academic record, authoring 44 research documents with 179 citations and an h-index of 7, reflecting the impact of his contributions to detector physics. His scholarly excellence has been recognized through multiple international honors, including the Ernest Rutherford Best Researcher Award and the Young Research Grant at the Pisa Meeting on Advanced Detectors, Italy. Beyond research, he serves on editorial boards, reviews for leading journals, and actively mentors students, embodying excellence in both scientific innovation and academic leadership.

Profiles:  ORCID | Scopus | Google Scholar | LinkedIn

Featured Publications

Chatterjee, S. (2025). Characterization of Cherenkov detectors for the MOLLER experiment. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment.

Mandal, S., Chatterjee, S., Sen, A., Gope, S., Dhani, S., Hegde, A. C., … (2024). Investigation of the stability in the performance of triple GEM detectors for High Energy Physics experiments. Nuclear Instruments and Methods in Physics Research Section A.

Chatterjee, S., Sen, A., Das, S., & Biswas, S. (2023). Charging-up effect and uniformity study of a single mask triple GEM detector. Nuclear Instruments and Methods in Physics Research Section A.

Chatterjee, S., Sen, A., Das, S., & Biswas, S. (2023). Effect of relative humidity on the long-term operation of a single mask triple GEM chamber. Nuclear Instruments and Methods in Physics Research Section A.

Sen, A., Chatterjee, S., Das, S., & Biswas, S. (2023). Characterization of a new RPC prototype using conventional gas mixture. Nuclear Instruments and Methods in Physics Research Section A.

Yu Lan Wang | Research Excellence | Best Researcher Award

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Prof. Dr. Yu Lan Wang | Research Excellence | Best Researcher Award

Prof. Dr. Yu Lan Wang | Inner Mongolia University of Technology | China

Professor Yu Lan Wang is a distinguished researcher at Inner Mongolia University of Technology, recognized for her impactful contributions to computational mathematics, numerical analysis, and nonlinear science. She has published 61 scholarly works, which have been cited in over 839 publications, 16 h-index, Demonstrating her strong influence and academic reach. Her research has been acknowledged through a solid citation record and a notable research index, highlighting both the quality and depth of her contributions. By advancing high-precision methods for fractional-order systems and uncovering novel chaotic behaviors, she continues to inspire innovation across mathematics, physics, and engineering.

Profile: Scopus | Orcid

Featured Publications

Zhang, S., Zhang, H., Wang, Y., & Li, Z. (2025). Dynamic properties and numerical simulations of a fractional phytoplankton–zooplankton ecological model. Networks and Heterogeneous Media, 20(2), Article 028.

Zhang, H., Wang, Y., Bi, J., & Bao, S. (2025). Novel pattern dynamics in a vegetation–water reaction–diffusion model. Mathematics and Computers in Simulation. Advance online publication.

Wang, X., Zhang, H., Wang, Y., & Li, Z. (2025). Dynamic properties and numerical simulations of the fractional Hastings–Powell model with the Grünwald–Letnikov differential derivative. International Journal of Bifurcation and Chaos. Advance online publication.

Han, Y., Zhang, J., & Wang, Y. (2024). Dynamic behavior of a two-mass nonlinear fractional-order vibration system. Frontiers in Physics, 12, 1452138.

Ning, J., & Wang, Y. (2024). Fourier spectral method for solving fractional-in-space variable coefficient KdV–Burgers equation. Indian Journal of Physics, 98, 1865–1875.

Tian, F., Wang, Y., & Li, Z. (2024). Numerical simulation of soliton propagation behavior for the fractional-in-space NLSE with variable coefficients on unbounded domain. Fractal and Fractional, 8(3), 163.

Zhang, S., Zhang, H., Wang, Y., & Li, Z. (2024). Research on dynamical behavior of a phytoplankton–zooplankton ecological model. Research Square. Preprint.

Gao, X., Zhang, H., Wang, Y., & Li, Z. (2024). Research on pattern dynamics behavior of a fractional vegetation–water model in arid flat environment. Fractal and Fractional, 8(5), 264. 

Zhao, L., & Zhang, W. (2024). Fourier spectral method for the fractional-in-space coupled Whitham–Broer–Kaup equations on unbounded domain. Open Physics, 22(1), 781–795.

Gao, X., Li, Z., & Wang, Y. (2024). Chaotic dynamic behavior of a fractional-order financial system with constant inelastic demand. International Journal of Bifurcation and Chaos, 34(7), 2450111.

Zhang, W., Wang, H., Zhang, H., Li, Z., & Li, X. (2024). Dynamical behavior of the fractional BBMB equation on unbounded domain. Fractal and Fractional, 8(7), 383.

Gao, X., Wang, Y., & Li, Z. (2023). High-precision numerical methods for a class of fractional-order financial systems with constant inelastic demand. SSRN.

Tang, W., Wang, Y., & Li, Z. (2023). Numerical simulation of fractal wave propagation of a multi-dimensional nonlinear fractional-in-space Schrödinger equation. Physica Scripta, 98(2), 025212.

Dai, D., Li, X., Li, Z., Zhang, W., & Wang, Y. (2023). Numerical simulation of the fractional-order Lorenz chaotic systems with Caputo fractional derivative. Computer Modeling in Engineering & Sciences, 135(2), 481–499.

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.