Salman Shahzad | Social Sciences | Best Researcher Award

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Mr. Salman Shahzad | Social Sciences | Best Researcher Award

Xi'an Jiaotong University | China

Mr. Salman Shahzad is a distinguished legal researcher whose academic and scholarly work focuses on public-private partnerships, intellectual property law, and comparative legal systems. Currently pursuing a Ph.D. at Xi’an Jiaotong University, his research explores legal frameworks for public-private partnerships in emerging economies, particularly comparing Pakistan and China. He has earned recognition for his academic excellence, including awards from the New Silk Road Law School Alliance and multiple “Outstanding International Student” honors. His extensive participation in international conferences and training programs—ranging from AI law and corporate law to climate change and arbitration—reflects his interdisciplinary engagement with global legal challenges. With a strong foundation in intellectual property law from Zhongnan University of Economics and Law and an LLB from Abdul Wali Khan University, he has contributed significantly to discussions on copyright, patent harmonization, and digital regulation. His publications span topics such as AI liability, cyberbullying, and extradition law, featured in reputable platforms including ResearchGate and national newspapers. Mr. Shahzad’s active memberships in professional legal associations and contributions to legal education, writing, and policy discourse demonstrate his commitment to advancing legal scholarship and bridging comparative perspectives between national and international legal systems.

Profiles : Orcid | Google Scholar

Featured Publications

Shahzad, S., & Wang, B. (2025, June 2). Geographical indications and sustainable development: Bridging policy gaps in Pakistan’s GI framework for socio-economic growth. Sustainability, 17(11), 5114.

Luigi Fortuna | Engineering | Excellence in Innovation Award

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Prof. Luigi Fortuna | Engineering | Excellence in Innovation Award

Universit Di Catania | Italy

Prof. Luigi Fortuna is a distinguished researcher whose prolific contributions have significantly advanced the fields of automation, nonlinear systems, bioengineering, and control theory. Over his career, he has published 760 scientific documents, accumulating 14,687 citations and achieving an impressive h-index of 67, reflecting the depth and impact of his scholarly output. His extensive body of work spans topics such as robust control, model order reduction, nonlinear electronic circuits, bio-inspired robotics, and complex system engineering. He has co-authored 24 internationally recognized books, including Nonlinear Resonance from Circuits to Systems (2025) and Essentials of Automatic Control with MATLAB in 20 Lessons (2025), which have become key academic resources. A mentor to over 400 thesis projects and 60 Ph.D. students, his dedication to education and innovation is unparalleled. Prof. Fortuna’s research integrates theory and application, exemplified by his 11 industrial patents that bridge academic insight with technological innovation. His leadership roles—such as Dean of Engineering at the University of Catania and Director of the Innovation Relay Center—underscore his influence in academia and industry alike. His interdisciplinary vision continues to inspire advancements in nonlinear dynamics, intelligent systems, and quantum-inspired engineering research worldwide.

Profiles : Scopus | Google Scholar

Featured Publications

Yadav, U. K., Singh, V. P., Fortuna, L., & Sahu, U. K. (2025). SMART-based multi-point matching assisted approximation of renewable interconnected power system. IEEE Access.

Lai, Q., Liu, Y., & Fortuna, L. (2024). Dynamical analysis and fixed-time synchronization for secure communication of hidden multiscroll memristive chaotic system. IEEE Transactions on Circuits and Systems I: Regular Papers.

Fortuna, L., & Buscarino, A. (2024). The impact of circuits and systems on the Etna Valley site [CAS Regional Report]. IEEE Circuits and Systems Magazine, 24(2), 98–100.

Bucolo, M., Buscarino, A., Famoso, C., Fortuna, L., & Frasca, M. (2019). Control of imperfect dynamical systems. Nonlinear Dynamics, 98, 2989–2999.

Buscarino, A., Corradino, C., Fortuna, L., Frasca, M., & Chua, L. O. (2016). Turing patterns in memristive cellular nonlinear networks. IEEE Transactions on Circuits and Systems I: Regular Papers, 63(8), 1222–1230.

Buscarino, A., Gambuzza, L. V., Porfiri, M., Fortuna, L., & Frasca, M. (2013). Robustness to noise in synchronization of complex networks. Scientific Reports, 3(1), 2026.

Frasca, M., Bergner, A., Kurths, J., & Fortuna, L. (2012). Bifurcations in a star-like network of Stuart–Landau oscillators. International Journal of Bifurcation and Chaos, 22(7), 1250173.

Fortuna, L., Frasca, M., & Xibilia, M. G. (2009). Chua’s circuit implementations: Yesterday, today and tomorrow (Vol. 65). World Scientific.

Caponetto, R., Fortuna, L., Fazzino, S., & Xibilia, M. G. (2003). Chaotic sequences to improve the performance of evolutionary algorithms. IEEE Transactions on Evolutionary Computation, 7(3), 289–304.

Bucolo, M., Caponetto, R., Fortuna, L., Frasca, M., & Rizzo, A. (2002). Does chaos work better than noise? IEEE Circuits and Systems Magazine, 2(3), 4–19.*

Jyoti kumari Sharma | Economics, Econometrics and Finance | Editorial Board Member

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Dr. Jyoti kumari Sharma | Economics, Econometrics and Finance | Editorial Board Member

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.

Simy Baby | Engineering | Best Researcher Award

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Mrs. Simy Baby | Engineering | Best Researcher Award

National Institute of Technology | India

Mrs. Simy Baby is an emerging researcher whose scholarly contributions center on semantic communications, machine learning, and computer vision, with a strong emphasis on communication-efficient feature extraction for edge inference tasks. She has authored 2 documents, received 2 citations, and holds an h-index of 1, reflecting the growing impact of her research in advanced communication technologies. Her publications in SCI-indexed journals, including Elsevier’s Computers & Electrical Engineering and IEEE Transactions on Cognitive Communications and Networking, demonstrate her commitment to innovation and excellence. Her study, “Complex Chromatic Imaging for Enhanced Radar Face Recognition”, introduced a novel complex-valued representation preserving amplitude and phase information of mmWave radar signals, achieving 99.7% recognition accuracy. Another major contribution, “Complex-Valued Linear Discriminant Analysis on mmWave Radar Face Signatures for Task-Oriented Semantic Communication”, proposed a CLDA-based encoding framework that improved feature interpretability and robustness under varying channel conditions. Her ongoing projects explore Data Fusion Discriminant Analysis (DFDA) for multi-view activity recognition and Semantic Gaussian Process Regression (GPR) for vehicular pose estimation, advancing the integration of semantic communication and computer vision. Mrs. Simy Baby’s research represents a vital step toward the development of intelligent, efficient, and adaptive communication systems for next-generation technologies.

Profiles : Scopus | Orcid | Google Scholar

Featured Publications

Baby, S. M., & Gopi, E. S. (2025). Complex valued linear discriminant analysis on mmWave radar face signatures for task-oriented semantic communication. IEEE Transactions on Cognitive Communications and Networking.

Baby, S. M., & Gopi, E. S. (2025, April). Complex chromatic imaging for enhanced radar face recognition. Computers and Electrical Engineering.

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.