Praveen Kumar Dhankar | Particle physics and cosmology | Research Excellence Award

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Dr. Praveen Kumar Dhankar | Particle physics and cosmology | Research Excellence Award

Symbiosis Institute of Technology, India

Dr. Praveen Kumar Dhankar is an emerging researcher recognized for his valuable academic and scientific contributions in cosmology, modified gravity theories, and applied machine learning. Affiliated with Symbiosis Institute of Technology, he has demonstrated consistent research productivity through publications in reputed international journals. His scholarly profile reflects 40 documents, 78 citations, and an h-index of 5, highlighting growing academic influence within interdisciplinary scientific domains. His recent investigations in Gauss–Bonnet gravity, f(G) cosmology, and observational astrophysics showcase analytical expertise and strong computational understanding. In addition, his work connecting machine learning with precision agriculture illustrates research versatility and practical innovation. Through continuous engagement in advanced theoretical studies and collaborative scientific publications, Dr. Dhankar has established himself as a dedicated researcher contributing to modern developments in physics, cosmology, and data-driven applications with promising future research potential.

Professional Profile

Education

Dr. Praveen Kumar Dhankar has developed a strong academic foundation through dedicated study in physics, computational sciences, and interdisciplinary technological applications. His educational journey reflects a deep commitment to understanding theoretical cosmology, modified gravity theories, and modern data-driven scientific methodologies. Through advanced academic training, he acquired expertise in analytical modeling, observational data interpretation, statistical techniques, and machine learning applications in scientific research. His educational background has enabled him to work effectively across diverse scientific domains, combining theoretical understanding with computational innovation. Continuous engagement with emerging scientific developments has strengthened his academic profile and expanded his technical competencies in cosmological simulations and predictive analysis. His educational preparation demonstrates intellectual curiosity, scientific discipline, and the capacity to contribute meaningfully to modern research challenges. This strong academic grounding has become the basis for his growing influence in theoretical physics and interdisciplinary computational investigations.

Professional Experience

Dr. Praveen Kumar Dhankar possesses valuable professional and research experience through his academic association with Symbiosis Institute of Technology and collaborative scientific projects. His experience spans theoretical cosmology, modified gravity investigations, computational data analysis, and interdisciplinary technological applications. Over the years, he has actively participated in scholarly collaborations, contributing to scientific discussions involving cosmological constraints, observational datasets, and astrophysical modeling. His research activities demonstrate proficiency in statistical tools, including MCMC methods, which are widely applied in modern cosmological investigations. Furthermore, Dr. Dhankar has explored practical technological implementations through machine learning-based agricultural prediction systems, showcasing multidimensional professional capabilities. His academic profile includes 40 published documents and collaborations with numerous co-authors, reflecting strong engagement within the research community. Through consistent publication efforts, conference participation, and interdisciplinary contributions, he has developed an impressive professional portfolio that combines theoretical expertise, computational proficiency, and innovative research thinking in both physical sciences and applied technological domains.

Research Interest

Dr. Praveen Kumar Dhankar focuses his research on modern cosmology, modified gravity theories, observational astrophysics, and computational modeling. His scientific interests particularly emphasize f(G) gravity, Gauss–Bonnet gravity, dark energy models, and cosmological parameter estimation using advanced statistical techniques. He actively investigates the compatibility of theoretical cosmological models with observational datasets such as DESI BAO measurements and multi-fluid cosmological systems. His research demonstrates a strong commitment to understanding the accelerated expansion of the universe and alternative explanations beyond conventional cosmological frameworks. Additionally, Dr. Dhankar explores interdisciplinary applications involving machine learning and predictive analytics, especially within precision agriculture and intelligent recommendation systems. His work combines theoretical formulation, numerical simulation, and data-driven interpretation to address complex scientific challenges. With 40 research documents, 78 citations, and an h-index of 5, his evolving research profile reflects growing influence in cosmology and computational science while highlighting his dedication to advancing innovative, interdisciplinary, and evidence-based scientific investigations.

Award and Honor

Dr. Praveen Kumar Dhankar has earned growing academic recognition through his impactful scientific publications, collaborative research contributions, and consistent scholarly productivity. His Scopus-indexed profile demonstrates notable research visibility with 40 published documents, 78 citations received from 55 documents, and an h-index of 5, reflecting meaningful influence within the scientific community. His publications in reputed journals such as Physics of the Dark Universe and European Physical Journal C signify professional acknowledgment of his research quality and scientific relevance. Dr. Dhankar’s contributions to modified gravity theories, cosmological modeling, and machine learning applications have strengthened his academic reputation among interdisciplinary researchers. His collaborations with numerous co-authors and participation in contemporary research initiatives further highlight his professional credibility. Although his career continues to evolve, the measurable impact of his publications and research activities positions him as a promising scholar deserving recognition for scientific excellence, innovative thinking, and dedication toward advancing modern theoretical and computational research methodologies.

Conclusion

Dr. Praveen Kumar Dhankar represents a promising and dedicated researcher whose academic journey reflects strong commitment to scientific advancement, interdisciplinary innovation, and scholarly excellence. His educational background, professional experience, and focused research contributions have enabled him to build a meaningful presence within cosmology, theoretical physics, and computational applications. With 40 research documents, 78 citations, and an h-index of 5, he has demonstrated measurable research impact and growing recognition within international scientific communities. His investigations in modified gravity theories, observational cosmology, and machine learning applications illustrate both analytical depth and practical research versatility. Through continuous publication efforts, collaborative engagements, and innovative scientific exploration, Dr. Dhankar continues to strengthen his academic reputation and future research potential. His dedication to advancing knowledge, solving complex scientific challenges, and integrating computational methodologies into interdisciplinary studies establishes him as a valuable contributor to contemporary scientific research and an emerging leader in modern theoretical and applied sciences.

Publications Top Notes

Title: Interaction of divergence-free deceleration parameter in Weyl-type f (Q, T) gravity
Authors: GN Gadbail, S Arora, P Kumar, PK Sahoo
Year: 2022
Citation: 25

Title: Modified Chaplygin gas with bulk viscous cosmology in FRW (2+ 1)-dimensional spacetime
Authors: GS Khadekar, P Kumar, S Islam
Year: 2019
Citation: 12

Title: Quantum-enhanced AI robotics for sustainable agriculture: Pioneering autonomous systems in precision farming
Authors: P Khobragade, PK Dhankar, A Titarmare, M Dhone, S Thakur, P Saraf
Year: 2024
Citation: 10

Title: Advancing Oncology Outcomes: Deploying Advanced Machine Learning Models for Early Detection and Optimized Treatment
Authors: P Khobragade, PK Dhankar, M Motghare, A Golghate, N Rakesh
Year: 2024
Citation: 10

Title: (2+ 1) dimensional cosmological models in f (R, T) gravity with (R, T)
Authors: S Islam, P Kumar, GS Khadekar, TK Das
Year: 2019
Citation: 10

Leonardo dos Santos Lima | Quantum Physics | Best Researcher Award

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Prof. Dr. Leonardo dos Santos Lima | Quantum Physics | Best Researcher Award

Prof. at Federal Education Center Technological of Minas Gerais, Belo Horizonte, Brazil.

Leonardo dos Santos Lima is a Brazilian physicist specializing in condensed matter and quantum physics 🌌. With expertise in spin and thermal transport, quantum phase transitions, and quantum entanglement 🔬, he explores the frontiers of topological phenomena and quantum correlations. Currently a Professor of Physics at CEFET-MG since 2014 🎓, Leonardo has published over 100 peer-reviewed articles 📚. His work extends to interdisciplinary applications in econophysics and epidemiology, using advanced stochastic models 📈. He completed his PhD at UFMG and conducted postdoctoral research in Germany and Brazil 🇧🇷🇩🇪, continuously contributing to the understanding of complex quantum systems.

Professional Profile

ORCID

Google Scholar 

Suitability For Best Researcher Awards – Prof. Dr. Leonardo dos Santos Lima

Leonardo dos Santos Lima demonstrates an exceptional track record in the fields of quantum physics and condensed matter theory, with over 100 peer-reviewed publications 📚. His long-term commitment to academic research, his international postdoctoral experience 🇧🇷🇩🇪, and his tenure as a professor at CEFET-MG 🎓 showcase his role as a leader in both theoretical and interdisciplinary scientific domains. His research bridges fundamental science with real-world applications, making a compelling case for his recognition as a top-tier researcher.

Education and Experience

  • 🎓 PhD in Physics, Federal University of Minas Gerais (UFMG), Brazil

  • 🔬 Postdoctoral research at Technical University of Kaiserslautern, Germany

  • 🔬 Postdoctoral research at Centro Brasileiro de Pesquisas Físicas, Brazil

  • 🔬 Postdoctoral research at UFMG, Brazil

  • 👨‍🏫 Professor of Physics at Federal Center for Technological Education of Minas Gerais (CEFET-MG), Brazil (since 2014)

Professional Development

Leonardo has built a robust academic and research career in quantum physics and condensed matter theory 🎓. His professional journey includes advanced postdoctoral research at prestigious institutions in Germany and Brazil 🌍, enhancing his expertise in spin transport, thermal phenomena, and topological quantum states 🔬. Since 2014, he has been a dedicated professor at CEFET-MG, mentoring students and leading innovative research projects 👨‍🏫. Continuously publishing over 100 peer-reviewed articles 📚, Leonardo has established himself as an expert in quantum correlations and interdisciplinary modeling, blending physics with econophysics and epidemiology 📊. His work contributes significantly to both fundamental and applied physics.

Research Focus Category

Leonardo’s research centers on quantum and condensed matter physics, specifically the Heisenberg model and spin transport phenomena 🧲. He explores quantum phase transitions and topological phenomena that reveal new states of matter 🔍. His focus on quantum entanglement and correlations enhances the understanding of information theory at the quantum level 💡. Additionally, he investigates spintronics and thermal transport, which have applications in future technology development ♻️. Beyond physics, he applies stochastic differential equations and statistical models to econophysics and epidemiology, demonstrating interdisciplinary prowess 🌐. His work bridges theoretical insights with practical, real-world problems.

Awards and Honors

  • 🏆 Recognized for outstanding contributions to quantum physics research

  • 🎖️ Honored for interdisciplinary work in physics and applied modeling

  • 📜 Multiple citations and acknowledgments in international peer-reviewed journals

  • 🌟 Esteemed member of academic and scientific communities in Brazil and abroad

Publication Top Notes

1. Non-Hermitian linear response formalism for optical conductivity in non-Hermitian Dirac Hamiltonians. Physics Letters A, 2025-Aug.

Summary:
This paper develops a linear response formalism tailored to non-Hermitian Dirac Hamiltonians, focusing on calculating the optical conductivity. The work addresses how non-Hermiticity modifies conventional response functions, revealing novel transport properties relevant for photonic and electronic systems exhibiting gain and loss.

2. Quantum correlation and magnon Hall conductivity in trimerized Lieb lattice ferromagnets. Physica A: Statistical Mechanics and its Applications, 2025-Aug.

Summary:
This study explores the quantum correlations and magnon Hall effect in trimerized Lieb lattice ferromagnets. By analyzing the interplay between lattice geometry and magnetic excitations, the paper provides insights into the magnonic transport phenomena influenced by quantum correlations in these novel lattice systems.

3. Interplay of spin Nernst effect and entanglement negativity in Lieb lattice ferromagnets: An exact diagonalization study. Physics Letters A, 2025-Feb.

Summary:
Using exact diagonalization techniques, this paper investigates the relationship between the spin Nernst effect (a thermally induced transverse spin current) and entanglement negativity, a measure of quantum entanglement, in Lieb lattice ferromagnets. The results highlight how quantum entanglement influences spin transport phenomena.

4. Interplay of Spin Nernst Effect and Entanglement Negativity in Layered Ferrimagnets: A Study via Exact Diagonalization. Entropy, 2024-Dec-06; 26(12):1060.

Summary:
Extending previous work, this article applies exact diagonalization to layered ferrimagnets to study the coupling between spin Nernst currents and quantum entanglement as quantified by entanglement negativity. It sheds light on thermal spin transport properties in complex magnetic multilayer systems.

5. Linear response theory for transport in non-Hermitian PT-symmetric models. Physics Letters A, 2024-Nov.

Summary:
The author formulates a linear response theory applicable to PT-symmetric non-Hermitian models, exploring transport phenomena beyond conventional Hermitian frameworks. The study reveals how PT symmetry and non-Hermiticity affect electrical and thermal conductivity in such systems.

6.Singular Stochastic Differential Equations for Time Evolution of Stocks Within Non-white Noise Approach. Computational Economics, 2024-Nov.

Summary:
This work develops a novel stochastic differential equation framework to model stock price dynamics under non-white noise, capturing more realistic temporal correlations in financial markets. The approach provides new insights into stock price evolution and market volatility.

Conclusion 

Leonardo dos Santos Lima exemplifies the qualities of a Best Researcher Award recipient through his innovative research, academic leadership, and interdisciplinary impact. His work not only advances the frontiers of quantum science but also connects physics with pressing global issues like epidemics and economic systems. His consistent scholarly output and commitment to mentoring make him a role model within the scientific community.