Donato Abruzzese | Engineering | Best Researcher Award

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Prof. Donato Abruzzese | Engineering | Best Researcher Award

University of Rome “Tor Vergata” | Italy

Prof. Donato Abruzzese is an eminent scholar in structural and seismic engineering, holding an h-index of 11, with 31 documents and 380 citations across 340 publications. Currently serving as an Associate Professor at the University of Rome “Tor Vergata,” he has made significant contributions to the fields of structural analysis, cultural heritage preservation, and seismic safety of historical masonry structures. His research encompasses dynamic identification of ancient towers, IoT-based structural health monitoring, and innovative approaches to rehabilitation of monuments. Prof. Abruzzese has authored over 100 scientific papers published in high-impact international journals and conference proceedings. A member of RELUIS (National Laboratories of Seismic Engineering) and the Italian Association of Engineers, he has collaborated extensively with global institutions across the USA, China, Mongolia, Japan, and beyond. His expertise is recognized through peer-review roles for leading journals such as Journal of Cultural Heritage, Structural Health Monitoring, and Construction and Building Materials. He has received honors including Honorary Professor of Mongolian Technical University  and Distinguished Visiting Professor at Yangzhou University. Through his pioneering research in heritage structure resilience, advanced materials, and smart monitoring systems, Prof. Abruzzese continues to shape the evolution of civil and structural engineering worldwide.

Profiles : Scopus | Orcid | Google Scholar

Featured Publications

Wang, P., Liu, G., Li, F., Li, S., Milani, G., & Abruzzese, D. (2025). Assessment of knot-induced degradation in timber beams: Probabilistic modeling and data-driven prediction of load capacity loss. Buildings, 15(12), 2058.

Liu, W., Yang, N., Liu, B., Feng, H., Wang, B., Du, K., & Abruzzese, D. (2025). Sensitivity analysis and optimization of user-defined parameters in covariance-driven stochastic subspace identification. International Journal of Structural Stability and Dynamics, 25(4).

Liu, W., Yang, N., Abruzzese, D., & Bai, F. (2024). Identification of dynamic characteristics of a heritage building—Yingxian Wooden Pagoda. In Advances in Structural Dynamics and Monitoring (pp. xxx–xxx). Springer.

Lettieri, R., Fazio, V., Abruzzese, D., Di Bartolomeo, E., D’Ottavi, C., Micheletti, A., Tiero, A., Duranti, L., Armuzza, V., & Licoccia, S. (2024). Influence of natural additives on the properties of a milk-based compostable bioplastic. RSC Advances, 14(xx), xxx–xxx.

Liu, W., Yang, N., Bai, F., & Abruzzese, D. (2023). Automatic identification of structural modal parameters under ambient excitation and its application to heritage timber structures. In Advances in Structural Engineering and Heritage Conservation (pp. xxx–xxx). Springer.

Li, F., Abruzzese, D., Milani, G., & Li, S. (2022). Influence of internal defects of semi-grouted sleeve connections on the seismic performance of precast monolithic concrete columns. Journal of Building Engineering, 51, 104009.

Abruzzese, D., Paterna, P., Marocchini, C., Vuth, S. M., Micheletti, A., Rosa, C., Tiero, A., & Sukaj, S. (2022). The necessary permanent WiFi health monitoring of the structures as condition for the smart buildings in smart cities. INGENIOUS, 1(1), 45–60.

Abruzzese, D. (2021). An iterative rectification procedure analysis for historical timber frames: Application to a cultural heritage Chinese pavilion. Engineering Structures, 236, 112083.

Abruzzese, D. (2021). Permanent monitoring of thin structures with low-cost devices. Curved and Layered Structures, 8(2), 145–154.

Abruzzese, D. (2020). Behavior of traditional Chinese mortise-tenon joints: Experimental and numerical insight for coupled vertical and reversed cyclic horizontal loads. Journal of Building Engineering, 32, 101575.

Abruzzese, D. (2020). BlockNet: A new flexible control architecture. In Proceedings of the 28th Mediterranean Conference on Control and Automation (MED) (pp. xxx–xxx). IEEE.

Abruzzese, D. (2020). Exoway: An exoskeleton on actuated wheels. arXiv Preprint, arXiv:2010.13393.

Abruzzese, D. (2020). IoT sensors for modern structural health monitoring: A new frontier. Procedia Structural Integrity, 26, 123–132.

Abruzzese, D. (2020). Multidisciplinary researches in cultural heritage studies: An approach on Akkale Cistern in Erdemli, Mersin. Cultural Heritage and Science, 5(1), 55–66.

 

Vasil Angelov | Mathematics | Best Researcher Award

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Prof. Dr. Vasil Angelov | Mathematics | Best Researcher Award

University of Mining and Geology St. Ivan Rilski | Bulgaria

Prof. Dr. Vasil Angelov is a distinguished mathematician and researcher with an h-index of 11, 151 articles with 562 citations, reflecting his significant contributions to mathematics and applied sciences. He earned his PhD in Mathematics, followed by an Associate Professorship, Doctor of Sciences, and Full Professorship. He served as Chair of the Department of Mathematics at the University of Mining & Geology “St. I. Rilski,” Bulgaria, and as Deputy Rector before retiring. Prof. Angelov’s research focuses on delay differential equations, fixed point theory, classical electrodynamics, transmission lines, and nonlinear circuits, with over 150 research papers published. He authored notable monographs including Fixed Points in Uniform Spaces and Applications and A Method for Analysis of Transmission Lines Terminated by Nonlinear Loads. His work on periodic solutions of the 4-body electromagnetic problem and its application to the Li atom demonstrates his expertise in mathematical modeling of complex physical systems. Prof. Angelov has been widely recognized for his contributions, receiving awards such as Who’s Who in the World, Gold Medal of the American Biographical Institute, International Peace Prize, Scientist of the Year honors, and recognition from international research centers, highlighting his global impact in mathematics, physics, and applied sciences.

Profiles : Scopus | Google Scholar

Featured Publications

Angelov, V. G. (2025). Periodic solutions of the 4-body electromagnetic problem and application to Li atom. AppliedMath, 5(3), 112.

Angelov, V. (2025). Energy estimation of the moving particles in 2-body and 3-body problem of classical electrodynamics. Science Set Journal of Physics.

Angelov, V. G. (2024, December 25). Spin 3-body problem of classical electrodynamics in the 3D-Kepler form.

Angelov, V. G. (2024, August 21). Energy of the moving particles in 3-body problem of classical electrodynamics. Preprints.

Muhammad Tahir | Mathematics | Young Scientist Award

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Dr. Muhammad Tahir | Mathematics | Young Scientist Award

Gomal University | Pakistan

Dr. Muhammad Tahir is an emerging researcher and academic in the field of applied mathematics, with expertise spanning numerical analysis, fuzzy logic, artificial intelligence, and decision-making systems. He has served as a Lecturer in Mathematics at Beacon Light College, Pakistan, and as a Teaching Assistant at the Islamia University of Bahawalpur, where he contributed to curriculum development and quality enhancement initiatives. Dr. Tahir holds a Master of Science in Mathematics from the Islamia University of Bahawalpur, where his thesis focused on the “Numerical Study of Deformation of Bubbles Using Phase-Field Models with Decoupling Technique.” His research portfolio includes several high-impact publications in reputed journals such as Applied Soft Computing, European Journal of Pure and Applied Mathematics, and Engineering Applications of Artificial Intelligence. His studies cover topics like fuzzy set theory, cryptographic security, cyber risk mitigation, environmental sustainability, and multi-criteria decision-making. Dr. Tahir’s recent works emphasize hybrid intelligence frameworks, machine learning-integrated decision systems, and quantum-resistant cryptography. He has presented his research at international conferences in Turkey, demonstrating his commitment to interdisciplinary collaboration and computational innovation. His scholarly contributions continue to advance soft computing, mathematical modeling, and intelligent decision-making for industrial and environmental applications.

Profiles : Scopus | Orcid

Featured Publications

Kamran, M., Zhang, Q., Pamucar, D., Tahir, M., & Simic, V. (2025). Enhancing confidence level in decision-making frameworks using Fermatean fuzzy rough sets: Application in Industry 4.0. Applied Soft Computing.

Tahir, M., Kfueit, K., Rasheed, M., Hanan, A., & Shahid, M. I. (2025, October 4). Pythagorean soft sets and hypersoft sets: A comprehensive framework for advanced uncertainty modeling in decision making. Spectrum of Decision Making and Applications.

Luo Kun | Economics, Econometrics and Finance | Best Researcher Award

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Prof. Luo Kun | Economics, Econometrics and Finance | Best Researcher Award

Anhui Normal University | Zimbabwe

Prof. Luo Kun is a distinguished scholar in industrial economics, financial management, and corporate governance, with a notable academic footprint reflected in his h-index of 5, 10 publications, and 125 citations across 122 documents. He earned his Doctorate in Industrial Economics from East China Normal University, following a Master’s in Comparative Education (Education Economics) from Sichuan Normal University and a Bachelor’s degree in Accountancy from the Industrial and Commercial University of Chongqing. Currently serving as a Professor and Doctoral Supervisor at the School of Economics and Management, Anhui Normal University, he has also been a Postdoctoral Fellow at the Shanghai University of Finance and Economics. Prof. Luo’s research primarily explores corporate sustainability, environmental governance, and green transformation in Chinese enterprises. His impactful works, published in top-tier journals such as The British Accounting Review, Sustainable Development, Business Ethics, the Environment & Responsibility, and Corporate Social Responsibility and Environmental Management, highlight the intersection of governance, innovation, and environmental responsibility. Over his career, he has led several key research projects funded by the Ministry of Education and Anhui Province, contributing significantly to advancing corporate ESG practices, behavioral economics, and institutional reforms in higher education and state-owned enterprises.

Profile : Scopus

Featured Publications

Luo, K., Gao, T. Y., Tian, G. G., & Yao, D. F. (2025). Green is the new gold: The role of professional managers in enhancing ESG performance in Chinese state-owned enterprises. The British Accounting Review. (Forthcoming)

Luo, K., & Wang, X. L. (2025). Green investor entry and corporate green transformation: Evidence from Chinese resource-based industry. Resources Policy. (Forthcoming)

Luo, K., Liu, X. Y., Wang, X. L., & Ye, L. (2024). High-speed rail opening and corporate environmental responsibility performance: Analysis of talent aggregation and supervisory pressure. Business Ethics, the Environment & Responsibility. (Forthcoming)

Luo, K., Huang, Y., & Lv, Y. (2024). Non-state shareholder governance and corporate sustainability: Evidence from environmental, social and governance ratings. Sustainable Development, 32(1), 211–226.

Luo, K., & Zhang, K. (2024). Executive's environmental background and sustainable development: Evidence from substantial green innovation. Sustainable Development, 32(5), 4812–4828.

Chen, S., Leng, X., & Luo, K. (2024). Supply chain digitalization and corporate ESG performance. American Journal of Economics and Sociology, 00, 1–27.

Luo, K., Gao, T. Y., & Li, Y. X. (2023). Board authority culture, cultural diversity and corporate innovation. China Journal of Accounting Studies.

Luo, K., & Wu, S. (2022). Corporate sustainability and analysts’ earnings forecast accuracy: Evidence from environmental, social and governance ratings. Corporate Social Responsibility and Environmental Management, 29(5), 1465–1481.

Luo, K., Lim, E., Qu, W., & Zhang, X. (2021). Board cultural diversity, government intervention and corporate innovation effectiveness: Evidence from China. Journal of Contemporary Accounting & Economics, 17(2).

Sandip Kumar Sarkar | Business, Management and Accounting | Best Researcher Award

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Dr. Sandip Kumar Sarkar | Business, Management and Accounting | Best Researcher Award

Saint Louis University | United States

Dr. Sandip Kumar Sarkar is an accomplished scholar in Information Systems, specializing in technology-mediated behavior, digital platforms, artificial intelligence, and enterprise resource planning (ERP). He earned his Ph.D. in Information Systems from the University of Arkansas, following dual MBAs in Enterprise Resource Planning from Lamar University and Marketing from the University of Dhaka, where he also completed his BBA. Currently serving as a faculty member at Saint Louis University, Dr. Sarkar teaches courses in business technology management, enterprise systems, and analytics. His research has been published in reputable journals such as the International Journal of Information and Learning Technology, and several papers are under review in leading outlets including Information Systems Journal and Information Systems Frontiers. His work explores critical aspects of user behavior in digital technology adoption, virtual reality learning, and ethical responses to AI-generated content. Dr. Sarkar has presented at international conferences such as ICIS, AMCIS, and NeuroIS, and actively contributes as a reviewer for major information systems conferences and journals. Recognized for academic excellence and leadership, he holds SAP certifications and continues to advance ERP education and AI-driven business technologies through his teaching, research, and service.

Profiles : Scopus | Orcid | Google Scholar

Featured Publications

Sarkar, S. K. (2024). How immersive experiences in digital technology influence postadoption behavior. International Journal of Information and Learning Technology, 1–16.

Sergio Manzetti | Mathematics | Best Researcher Award

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Dr. Sergio Manzetti | Mathematics | Best Researcher Award

Linnaeus University | France

Dr. Sergio Manzetti is a distinguished researcher whose interdisciplinary work bridges mathematics, quantum information theory, and nanotechnology. With an h-index of 26, 4,946 citations, and numerous scholarly documents, his research demonstrates both depth and global impact. His expertise spans mathematical analysis, Fourier analysis of partial differential equations (PDEs), quantum chemistry, computational systems, and nonlinear dynamics, contributing significantly to the understanding of quantum systems and wave phenomena. Dr. Manzetti’s academic foundation includes advanced degrees from Uppsala University, Linnaeus University, Queensland University of Technology, and Oslo University College, where he specialized in the mathematical and physical sciences. His professional experience is equally impressive—serving as an EU expert for Marie-Curie Fellowships, AI prompt reviewer at Mercor Intelligence, and researcher at Fjord-Research AS. He has co-authored influential publications in Analysis and Mathematical Physics, Advanced Theory and Simulations, and RSC Advances, addressing topics from eigenvalue problems of non-self-adjoint operators to supersymmetric wave equations and nanomaterial design. Skilled in Python, Mathematica, and MATLAB, Dr. Manzetti combines theoretical rigor with computational precision. His contributions to quantum information systems, rogue wave modeling, and nanotechnology continue to advance interdisciplinary research, positioning him as a leading figure in applied mathematics and theoretical chemistry.

Profiles : Scopus | Orcid | Google Scholar

Featured Publications

Manzetti, S., & Khrennikov, A. (2025, September 28). Quantum and topological dynamics of GKSL equation in camel-like framework. Entropy.

Manzetti, S. (2025, September 22). Geometric formalism for quantum entanglement via B³ and S⁰ mappings. Preprint.

Manzetti, S., & Khrennikov, A. (2025, July 11). Quantum and topological dynamics of the GKSL equation in the camel-like framework. Preprint.

Kumar, R., Hiremath, K. R., & Manzetti, S. (2024, April). A primer on eigenvalue problems of non-self-adjoint operators. Analysis and Mathematical Physics.

Manzetti, S. (2021). Spectral properties of non-self adjoint operators: A review of the recent literature. Unpublished manuscript.

Kamerlin, N., Delcey, M. G., Manzetti, S., & van der Spoel, D. (2020, August 24). Toward a computational ecotoxicity assay. Journal of Chemical Information and Modeling.

Manzetti, S., & Trounev, A. (2020, January). Analytical solutions for a supersymmetric wave-equation for quasiparticles in a quantum system. Advanced Theory and Simulations.

Manzetti, S. (2020, January). Electromagnetic vorticity in a square-well crystal system described by a supersymmetric wave-equation. Advanced Theory and Simulations.

Ghisi, R., Vamerali, T., & Manzetti, S. (2019). Accumulation of perfluorinated alkyl substances (PFAS) in agricultural plants: A review. Environmental Research.

van der Spoel, D., Manzetti, S., Zhang, H., & Klamt, A. (2019, August 27). Prediction of partition coefficients of environmental toxins using computational chemistry methods. ACS Omega.

Manzetti, S., & Gabriel, J.-C. P. (2019, March 2). Methods for dispersing carbon nanotubes for nanotechnology applications: Liquid nanocrystals, suspensions, polyelectrolytes, colloids and organization control. International Nano Letters.

Manzetti, S., & Trounev, A. (2019, May). Supersymmetric Hamiltonian and vortex formation model in a quantum nonlinear system in an inhomogeneous electromagnetic field. Advanced Theory and Simulations.

Behzadi, H., Manzetti, S., Dargahi, M., Roonasi, P., & Khalilnia, Z. (2018). Application of calculated NMR parameters, aromaticity indices and wavefunction properties for evaluation of corrosion inhibition efficiency of pyrazine inhibitors. Journal of Molecular Structure.

Manzetti, S. (2018). Applied quantum physics for novel quantum computation approaches: An update. Computational Mathematics and Modeling.

Manzetti, S. (2018). Mathematical modeling of rogue waves, a review of conventional and emerging mathematical methods and solutions. Preprint.

Manzetti, S. (2018, November 8). Derivation and numerical analysis of an attenuation operator for non-relativistic waves. Scientific Reports.

Manzetti, S., & Lu, T. (2018, August 20). Addendum: Solvation energies of butylparaben, benzo[a]pyrene diol epoxide, perfluorooctanesulfonic acid, and DEHP in complex with DNA bases. Chemical Research in Toxicology.

Manzetti, S. (2018, June 20). Mathematical modeling of rogue waves: A survey of recent and emerging mathematical methods and solutions. Axioms.

Xin-Jian Wen | Physics and Astronomy | Best Researcher Award

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Prof. Xin-Jian Wen | Physics and Astronomy | Best Researcher Award

Shanxi University | China

Prof. Xin-Jian Wen is a distinguished theoretical physicist whose research focuses on the properties of strongly interacting matter, the mechanism of QCD phase transitions, and the behavior of strange quark matter under extreme conditions such as high density and strong magnetic fields. With an h-index of 11, 43 published documents, and 567 citations from 352 sources, his work has made a significant contribution to advancing quantum chromodynamics (QCD) phenomenology at finite temperature and density. A graduate of Shaanxi Normal University and the Chinese Academy of Sciences, Prof. Wen has developed innovative models to study the stability of strange quark matter, strangelets, and the quark-hadron mixed phase in compact stars. His pioneering investigations using the quasiparticle model and multi-reflection expansion approach have provided new insights into surface tension effects, magnetic field interactions, and color-flavor-locked (CFL) phases. Prof. Wen has collaborated with several leading physicists and published influential papers in top-tier journals such as Physical Review D and Physical Review C. As a full professor at the Institute of Theoretical Physics, Shanxi University, he continues to advance theoretical research in QCD and compact star physics.

Profiles : Scopus | Orcid

Featured Publications

Zhang, J., & Wen, X.-J. (2025, September 12). Stability analysis of magnetized quark matter in Tsallis statistics. Universe.

Jiang, X.-W., & Wen, X.-J. (2025, June 20). Deconfinement of magnetized quark matter in a quasiparticle description. International Journal of Modern Physics A.

Niu, Y.-H., Wen, X.-J., & Singha, S. (2025, January). Tensor condensate accompanied by chiral transition in a strong magnetic field. Advances in High Energy Physics.

Su, S.-Z., Zhao, Y.-Y., & Wen, X.-J. (2025, January 31). The finite volume effects of the Nambu–Jona–Lasinio model with the running coupling constant. Journal of Physics G: Nuclear and Particle Physics.

Zhang, J., & Wen, X.-J. (2024, November 26). QCD phase transition with nonextensive NJL model in the strong magnetic field. Physical Review D.

He, R., & Wen, X.-J. (2024, June 1). Anisotropy and paramagnetism of QCD matter with an anomalous magnetic moment. Journal of Physics G: Nuclear and Particle Physics.

Wen, X.-J., & Zhang, J. (2024, February 12). Thermal effect in hot QCD matter in strong magnetic fields. Physical Review C.

Wang, Y., & Wen, X.-J. (2024, January 8). Isospin asymmetric matter in uniform and nonuniform strong magnetic fields. Physical Review C.

He, Y.-Y., & Wen, X.-J. (2023, April 24). Medium effect on anisotropic surface tension of magnetized quark matter. Physical Review D.

He, R., & Wen, X.-J. (2022, December 29). Effect of anomalous magnetic moment on the chiral transition at zero temperature in a strong magnetic field. Physical Review D. amics of PNJL model at zero temperature in a strong magnetic field. Physical Review D.

Yang, L., & Wen, X.-J. (2021, December 8). Compressibility of quark matter under strong magnetic field in the NJL model. Physical Review D.

Su, S.-Z., & Wen, X.-J. (2021, July 1). Influence of magnetic fields on the stability and the phase transition of quark matter in the Nambu–Jona–Lasinio model. Journal of Physics G: Nuclear and Particle Physics.

Wen, X.-J., He, R., & Liu, J.-B. (2021, May 17). Effect of the anomalous magnetic moment on the chiral transition in a strong magnetic field. Physical Review D.

Wang, Y., & Wen, X.-J. (2020, October 1). Magnetized hot and dense quark matter in the Polyakov Nambu–Jona–Lasinio model. Journal of Physics G: Nuclear and Particle Physics.

Anita Kavrakova | Biochemistry, Genetics and Molecular Biology | Best Researcher Award

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Mrs. Anita Kavrakova | Biochemistry, Genetics and Molecular Biology | Best Researcher Award

Genetic Medico-Diagnostic Laboratory “Genica” | Bulgaria

Mrs. Anita Kavrakova is a distinguished molecular biologist and project manager with extensive experience in medical genetics and diagnostic research. Since 2019, she has been serving as Project Manager at Genetic Medico-Diagnostic Laboratory “Genica” and Genome Center Bulgaria AD in Sofia, where she oversees laboratory projects, implements innovative diagnostic techniques, ensures compliance with national and international standards, and actively contributes to scientific research through conferences, publications, and collaborative studies. Prior to this role, she worked as a Molecular Biologist at Genica (2008–2018), conducting advanced molecular analyses including PCR, qPCR, gene sequencing, and immunohistochemistry, with a focus on cancer genetics, particularly prostate and cervical cancers. She has also been a part-time assistant at the Department of Medical Chemistry and Biochemistry, Medical University Sofia, since 2012, training students in theoretical and practical biochemistry. Dr. Kavrakova earned her PhD in Genetics from Medical University Sofia in 2015, investigating molecular markers in prostate cancer for improved diagnostics and patient management, following an MS in Genetics and a Bachelor in Biology from Sofia University “St Kliment Ohridski.” She has contributed to numerous national and international research projects on infectious agents, reproductive failure, and cancer etiology, authored multiple publications, and actively participates in innovation evaluation and scientific advisory roles, demonstrating leadership, analytical skills, and a commitment to advancing molecular diagnostics and biomedical research.

Profiles : Scopus | Orcid

Featured Publications

Todorova, E., Kavrakova, A., Derimachkovski, G., Georgieva, B., Odzhakov, F., Bachurska, S., Terziev, I., Boyadzhieva, M. E., Valkov, T., Popov, E., Slavov, C., Tourtourikov, I., Mitev, V., & Todorova, A. (2025). Human Herpes Virus genotype and immunological gene expression profile in prostate cancer with prominent inflammation. International Journal of Molecular Sciences, 26(10), 4945.

Todorova, E., & Kavrakova, A., Derimachkovski, G., Georgieva, B., Kalenderova, S., Odzhakov, F., Bachurska, S., Boyadzhieva, M. E., Terziev, I., Genova, M., Mitev, V., & Todorova, A. (2025). Pathogenic contribution of human papillomaviruses and Epstein-Barr virus to prostate cancer in Bulgarian patients. C. R. Acad. Bulg. Sci. (submitted).

Mesechkova, K., Kavrakova, A., Georgieva, B., Sigridov, I., Miteva, A., Mitev, V., & Todorova, A. (2023). Bacterial and viral pathogens implicated in female reproductive failure investigated on menstrual blood. C. R. Acad. Bulg. Sci., 76(3), 394–406.

Mesechkova, K., Kavrakova, A., Georgieva, B., Sigridov, I., Mitev, V., & Todorova, A. (2023). Non-invasive diagnostics of reproductive failure with infectious etiology on menstrual tissue. Acta Medica Bulgarica, 50(3).

Mesechkova, K., Kavrakova, A., Todorova, E., Georgieva, B., Sigridov, I., Mitev, V., & Todorova, A. (2023). Role of bacterial and viral infections and co-infections in miscarriages. Acta Medica Bulgarica, 50(4).

Kavrakova, A., Todorova, A., Georgieva, B., Anachkov, K., Yanev, K., Ivanov, G., & Mitev, V. (2018). Investigation of noninvasive urine specimens with molecular fluctuations for a presence of high-risk human papilloma viruses as an inflammatory cofactor in prostate cancer. Journal of Biology and Medicine.

Tsvetkova, A., Todorova, A., Todorov, T., Georgiev, G., Drandarska, I., & Mitev, V. (2015). Molecular and clinico-histological data in aggressive prostate cancer patients from Bulgaria. JBUON, 20(2).

Tsvetkova, A., Todorova, A., Todorov, T., Georgiev, G., Drandarska, I., & Mitev, V. (2015). Molecular and clinicopathological aspects of prostate cancer in Bulgarian probands. Journal of Pathology and Oncology Research.

Tsvetkova, A., Todorova, A., Todorov, T., Georgiev, G., Drandarska, I., & Mitev, V. (2014). Molecular profile and clinicopathological aspects of prostate cancer in Bulgarian patients. Journal of BOD, 4, 18–26.

Tsvetkova, A., Kadiyska, T., Georgiev, G., Drandarska, I., Todorova, A., & Mitev, V. (2013). Molecular-genetic approach in combination with clinical and histological data for diagnostics of prostate cancer. Journal of Oncology, 3, 50–55.

 

 

Gwo Dong Lin | Mathematics | Excellence in Research Award

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Prof. Gwo Dong Lin | Mathematics | Excellence in Research Award

Academia Sinica, Institute of Statistical Science | Taiwan

Prof. Gwo Dong Lin is a distinguished statistician and mathematician whose extensive contributions have profoundly influenced the fields of probability theory, moment problems, and life distribution analysis. With an h-index of 18, 71 published documents, and 933 citations from 783 sources, his scholarly output demonstrates both depth and enduring impact. He earned his Ph.D. in Management Science from Tamkang University, following earlier degrees in mathematics from National Taiwan Normal University. Over his career, Prof. Lin served at Academia Sinica’s Institute of Statistical Science, including roles as Deputy Director and Acting Director, and later as Adjunct Research Fellow. He has also directed the Social and Data Science Research Center under the Hwa-Kang Xing-Ye Foundation. His editorial work spans several international journals, and he has been an invited speaker at global conferences organized by the International Statistical Institute and other leading organizations. Recognized as an ISI Elected Member since 1991 and recipient of Taiwan’s Outstanding Research Award (1994–1995), Prof. Lin’s pioneering studies on characterizations of distributions, inequalities for transforms, and moment determinacy continue to shape modern statistical theory and inspire future explorations in applied probability and statistical modeling.

Profile : Scopus

Featured Publications 

Lin, G. D., & Stoyanov, J. (2025). New sufficient conditions for moment-determinacy via probability density tails. Mathematics, 13, 2671.

Dou, X., Kuriki, S., Lin, G. D., & Richards, D. (2025). EM estimation of the B-spline copula with penalized pseudo-likelihood functions. Statistical Papers, 66, 30.

Lin, G. D., & Stoyanov, J. (2024). New characterizations of the Gamma distribution via independence of two statistics by using Anosov’s theorem. Theory of Probability and Its Applications, 69, 745–759 (Russian edition); SIAM version, 69, 592–604.

Hu, C.-Y., & Lin, G. D. (2022). Characterizations of the normal distribution via the independence of the sample mean and the feasible definite statistics with ordered arguments. Annals of the Institute of Statistical Mathematics, 74, 473–488.

Lin, G. D., & Hu, C.-Y. (2022). On the semi-Mittag-Leffler distributions. Probability and Mathematical Statistics, 42, 81–96.

Hu, C.-Y., Lin, G. D., & Stoyanov, J. (2021). Characterization of probability distributions via functional equations of power-mixture type. Mathematics, 9, 271. Also in: L. Shaikhet (Ed.), Prime Archives in Applied Mathematics (2nd ed.). Hyderabad, India: Vide Leaf.

Lin, G. D., & Dou, X. (2021). An identity for two integral transforms applied to the uniqueness of a distribution via its Laplace–Stieltjes transform. Statistics, 55, 365–385.

Dou, X., Kuriki, S., Lin, G. D., & Richards, D. (2021). Dependence structures of B-spline copulas. Sankhyā: The Indian Journal of Statistics, Series A, 83, 238–311.

Lin, G. D., & Hu, C.-Y. (2021). Formulas of absolute moments. Sankhyā: The Indian Journal of Statistics, Series A, 83, 476–495.

Hu, C.-Y., & Lin, G. D. (2020). Necessary and sufficient conditions for unique solution to functional equations of Poincaré type. Journal of Mathematical Analysis and Applications, 491, 124399.

Stoyanov, J. M., Lin, G. D., & Kopanov, P. (2020). New checkable conditions for moment determinacy of probability distributions. Theory of Probability and Its Applications, 65, 634–648 (Russian edition); SIAM version, 65, 497–509.

Lin, G. D., Dou, X., & Kuriki, S. (2019). The bivariate lack-of-memory distributions. Sankhyā: The Indian Journal of Statistics, Series A, 81, 273–297.

Lin, G. D. (2019). On powers of the Catalan number sequence. Discrete Mathematics, 342, 2139–2147.

Hu, C.-Y., & Lin, G. D. (2018). Characterizations of the logistic and related distributions. Journal of Mathematical Analysis and Applications, 463, 79–92.

Lin, G. D. (2017). Recent developments on the moment problem. Journal of Statistical Distributions and Applications, 4, 5.

Lai, C.-D., Lin, G. D., Govindaraju, K., & Pirikahu, S. (2017). A simulation study on the correlation structure of Marshall–Olkin bivariate Weibull distribution. Journal of Statistical Computation and Simulation, 87, 156–170.

Jyoti kumari Sharma | Economics, Econometrics and Finance | Excellence in Research Award

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Dr. Jyoti kumari Sharma | Economics, Econometrics and Finance | Excellence in Research Award

Balurghat College | India

Dr. Jyoti Kumari Sharma is an accomplished Assistant Professor in the Department of Economics at Balurghat College, specializing in Econometrics, Developmental Economics, Indian Economics, Agricultural Economics, Public Finance, Microeconomics, Macroeconomics, Mathematical Economics, Statistics, and International Trade. She holds a Ph.D. in Economics with a focus on inclusive growth in India, reflecting her expertise in socio-economic development and policy analysis. Dr. Sharma has demonstrated academic excellence throughout her career, earning multiple gold medals during her M.A. in Economics, along with awards for teaching excellence and high rankings in scientific indices. She has extensive teaching experience across reputed institutions, including ICFAI University and Salesian College, and actively engages in UGC-sponsored faculty development and refresher programs. Her research contributions include 14 publications spanning journal articles and book chapters, addressing themes such as inclusive growth, financial inclusion, socio-economic determinants of development, inclusive healthcare, employment opportunities, and educational impacts during the COVID-19 pandemic. Her work emphasizes the integration of equitable growth strategies with practical socio-economic solutions in India, contributing significantly to academic discourse and policy frameworks. Additionally, she holds lifetime memberships in seven professional and academic organizations, highlighting her active engagement with the broader research and educational community. Through her teaching, research, and publications, Dr. Sharma has established herself as a notable scholar in economics, fostering knowledge and innovation in inclusive growth and development studies.

Profiles : Orcid | Google Scholar

Featured Publications

Sharma, J. K. (2025). Inclusive growth in India with special reference to its socio-economic perspective: Tree of Inclusive: A framework of equity, prosperity and social justice in India (1st ed., 268 pp.). New Delhi: Abhijeet Publication.

Sharma, J. K. (2024). Inclusive infrastructure: The various branches of inclusive growth facilitate the spread and reach of balanced regional development in India. International Research Journal of Economics and Management Studies, III(10), 45–64.

Sharma, J. K. (2024). Inclusive growth in India under its socio-economic perspectives. Journal of Emerging Technologies and Innovative Research, XI(12), 25–39.

Sharma, J. K. (2022). Inclusive growth: An analysis towards generating national integration. In A. Das, D. K. Roy, & S. K. Pain (Eds.), In search of equality: Studies in social and economic opportunity (pp. 140–151). New Delhi: New Delhi Publishers.

Sharma, J. K. (2021). Inclusive human resource development: The fruit of inclusive growth in India. International Journal of Research Management–Granthaalayah, IX(1), 302–329.

Sharma, J. K. (2021). The story of socio-economic changes in education sector of India under the COVID-19 pandemic situation. In K. Jana, S. N. Ray, S. Goyal, S. Pal, & R. Ghosh (Eds.), The practicality within the impractical: Impact of pandemic on socioeconomic aspects, policy, education, culture, literature, health, science and business (pp. 116–131). New Delhi: RED’SHINE Publication.

Sharma, J. K. (2020). Financial inclusion: The seed of inclusive growth in India. International Journal of Multidisciplinary Research and Growth Evaluation, I(5), 50–65.

Sharma, J. K. (2020). Elements of inclusive growth: The basic socio-economic determinants needed for inclusive growth in India. International Journal of Research Culture Society, IV(9), 43–51.

Sharma, J. K. (2020). Importance of inclusive growth: To achieve sustainable economic development in India. International Research Journal of Management, Sociology and Humanities, XI(6), 260–281.

Sharma, J. K. (2019). Inclusive employment opportunities: The stem of inclusive growth in India. In Proceedings of the 4th International Conference on Management, Science, Social Science and Humanities (iCon-MESSSH’19) (pp. 66–88). Phuket, Thailand: Society for Research and Development.

Sharma, J. K. (2019). Inclusive healthcare: The best raw material for progressive and inclusive growth in India. International Journal of Applied Science and Engineering, VII(1), 27–47.

Sharma, J. K. (2018). Inclusive education: The root of inclusive growth in India. South India Journal of Social Sciences, XVI(2), 19–35.

Sharma, J. K. (2013). Inclusive growth – Some basics. In K. Dutta & K. K. Bagchi (Eds.), Regional economic development (some selected issues) (pp. 75–92). New Delhi: Abhijeet Publication.

Sharma, J. K. (2012). Educated unemployment: The main problem of present-day students. In K. Dutta, A. Bhumali, & C. K. Mukhopadhyay (Eds.), Regional economic development & women's empowerment (pp. 163–169). New Delhi: New Delhi Publication.