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