Surjit Bhai | Computational Chemistry | Innovative Research Award

Published-on by Indian Scientist

Innovative Research Award

Surjit Bhai
Assam down town University

Surjit Bhai
Affiliation Assam down town University
Country India
Scholar ID 74fJslYAAAAJ
Documents 18
Citations 126
h-index 6
Subject Area Computational Chemistry
Event Indian Scientist Awards

Surjit Bhai is an academic researcher affiliated with Assam down town University, India. His research activities are primarily associated with Computational Chemistry, an interdisciplinary field integrating chemistry, mathematics, physics, and computer science to investigate molecular structures, chemical processes, and predictive scientific models. His documented scholarly record reflects sustained academic engagement through publications, citations, and research dissemination activities that contribute to the advancement of computational and theoretical chemical sciences.[1]

Abstract

The Innovative Research Award recognizes scholarly contributions that demonstrate originality, scientific relevance, and sustained academic productivity. Surjit Bhai’s research profile highlights active participation in Computational Chemistry, supported by a measurable publication record and citation impact. His academic contributions align with contemporary research priorities involving computational modeling, molecular simulations, and theoretical investigations that support scientific discovery and technological advancement.[1][2]

Keywords

Computational Chemistry; Molecular Modeling; Chemical Informatics; Quantum Chemistry; Scientific Computing; Innovative Research; Theoretical Chemistry; Research Excellence; Chemical Simulations; Academic Scholarship.

Introduction

Computational Chemistry has emerged as a critical scientific discipline that enables researchers to investigate molecular behavior and chemical interactions through computational methods. The field contributes significantly to materials science, pharmaceutical research, environmental studies, and molecular engineering. Recognition programs such as the Innovative Research Award acknowledge researchers whose scholarly efforts contribute to expanding scientific understanding and innovation within these domains.[2]

Research Profile

According to available scholarly metrics, Surjit Bhai has produced eighteen documented research publications and accumulated one hundred twenty-six citations, with an h-index of six. These indicators reflect academic visibility and engagement within the scientific community. His research interests focus on computational approaches to chemical analysis, molecular systems, and theoretical investigations that support scientific advancement.[1]

  • Research specialization in Computational Chemistry.
  • Experience in molecular modeling and computational analysis.
  • Contribution to peer-reviewed scientific literature.
  • Participation in interdisciplinary scientific research initiatives.

Research Contributions

The research contributions associated with Surjit Bhai emphasize the application of computational techniques to investigate chemical structures, reaction mechanisms, and molecular properties. Such work supports efficient scientific experimentation by complementing laboratory-based investigations with predictive computational frameworks. Computational Chemistry continues to play an important role in accelerating scientific discovery and reducing experimental complexity across multiple disciplines.[2][3]

  • Computational investigation of molecular systems.
  • Development and application of theoretical chemical models.
  • Support for data-driven scientific analysis.
  • Contribution to interdisciplinary computational research.

Publications

The researcher’s publication portfolio reflects continued scholarly engagement and participation in academic communication. Published works contribute to the dissemination of scientific knowledge and provide opportunities for peer review, validation, and future research development.[1]

  1. Peer-reviewed journal articles in Computational Chemistry.
  2. Research papers involving molecular simulations and theoretical studies.
  3. Conference publications and scientific communications.
  4. Collaborative interdisciplinary research outputs.

Research Impact

Citation-based indicators provide one perspective on scholarly influence and visibility. The research profile associated with Surjit Bhai demonstrates measurable academic impact through citation activity and publication performance. These indicators suggest that his work contributes to ongoing scientific discussions and supports further investigations within Computational Chemistry and related disciplines.[1]

Award Suitability

The Innovative Research Award recognizes originality, scientific rigor, and meaningful scholarly contributions. Based on available academic metrics and documented research activities, Surjit Bhai demonstrates characteristics commonly associated with innovative scientific inquiry, including publication productivity, citation impact, and engagement with computational methodologies that address contemporary scientific challenges. These attributes support consideration for recognition within research excellence programs.[1][4]

Conclusion

Surjit Bhai’s academic profile reflects continued contributions to Computational Chemistry through scholarly publication, citation impact, and research engagement. His work contributes to the broader advancement of computational scientific methodologies and supports knowledge development within chemistry-related disciplines. The Innovative Research Award provides an appropriate framework for recognizing such contributions and encouraging future academic achievements.[1]

References

  1. Google Scholar. (n.d.). Scholar profile: Surjit Bhai, Scholar ID 74fJslYAAAAJ. https://scholar.google.com/citations?user=74fJslYAAAAJ&hl=en
  2. Recyclable Functionalized Material for Sensitive Detection and Exceptional Sorption of Hexavalent Chromium and Permanganate Ions with Biosensing ApplicationsClick to copy article link. https://pubs.acs.org/doi/abs/10.1021/acsabm.1c00609
  3. Estimation of bisulfate in edible plant foods, dog urine, and drugs: picomolar level detection and bio-imaging in living organisms†
    https://pubs.rsc.org/en/content/articlelanding/2017/vz/c9an01078e/unauth
  4. Probing the Interaction of Nucleobases and Fluorophore-Tagged Nucleobases with Graphene Surface: Adsorption and Fluorescence Studies.
    https://chemistry-europe.onlinelibrary.wiley.com/doi/abs/10.1002/slct.201904442

Vijay Sangolgi | Deep Learning | Young Researcher Award

Published-on by Indian Scientist

Young Researcher Award

Vijay Sangolgi
Affiliation N. K. Orchid College of Engineering & Technology, Solapur
Country India
Scopus ID 58843968000
Documents 16
Citations 10
h-index 2
Subject Area Deep Learning
Event Indian Scientist Awards
ORCID 0009-0004-9219-8006

Vijay Sangolgi

N. K. Orchid College of Engineering & Technology, Solapur,

 

Vijay Sangolgi is affiliated with N. K. Orchid College of Engineering & Technology, Solapur, India. His scholarly activities are associated with the field of Deep Learning, where he has contributed to emerging computational methodologies, intelligent systems, and applied artificial intelligence research. Through academic publications and research dissemination, he has established a growing presence within the scientific community and demonstrates the characteristics commonly recognized under young researcher excellence initiatives.[1]

Abstract

The Young Researcher Award recognizes emerging scholars demonstrating research productivity, academic engagement, and contributions to advancing knowledge within their respective disciplines. Vijay Sangolgi’s academic profile reflects involvement in Deep Learning research, supported by peer-reviewed publications, scholarly dissemination, and measurable citation activity. The combination of publication output, interdisciplinary relevance, and commitment to technological advancement provides a basis for consideration within research recognition frameworks focused on early-career achievement.[1][2]

Keywords

Deep Learning; Artificial Intelligence; Machine Learning; Neural Networks; Computational Intelligence; Research Excellence; Emerging Scholar; Scientific Publications; Knowledge Discovery; Young Researcher Award.

Introduction

Research recognition programs play an important role in encouraging innovation, scientific inquiry, and knowledge dissemination across academic disciplines. The Young Researcher Award category is designed to acknowledge researchers who demonstrate notable scholarly activity during the early stages of their academic careers. Within the rapidly evolving field of Deep Learning, contributions involving predictive modeling, intelligent systems, and data-driven decision making continue to influence both theoretical and practical advancements.[2]

Research Profile

Vijay Sangolgi is associated with N. K. Orchid College of Engineering & Technology, Solapur, India. His documented scholarly record includes sixteen indexed documents, ten citations, and an h-index of two according to available research metrics. His academic interests are centered on Deep Learning and related computational methodologies that support intelligent automation and advanced analytical systems.[1]

  • Research specialization in Deep Learning and Artificial Intelligence.
  • Participation in scholarly publication and dissemination activities.
  • Contribution to computational and intelligent system research.
  • Engagement with interdisciplinary technological applications.

Research Contributions

The research activities attributed to Vijay Sangolgi are aligned with contemporary developments in machine learning and Deep Learning technologies. Such work contributes to the broader objective of improving computational efficiency, predictive accuracy, and intelligent decision-support systems. The field continues to generate significant academic and industrial interest due to its applications in healthcare, engineering, business analytics, and automation.[3]

  • Application of machine learning methodologies to complex datasets.
  • Exploration of intelligent computational models.
  • Support for innovation through algorithmic research.
  • Contribution to academic knowledge exchange and scholarly communication.

Publications

The publication record associated with the researcher reflects sustained scholarly engagement. Indexed publications contribute to scientific visibility, facilitate peer evaluation, and promote the dissemination of research findings across the academic community.[1]

  1. Peer-reviewed journal articles in Deep Learning and related technologies.
  2. Conference proceedings and technical research presentations.
  3. Collaborative publications supporting interdisciplinary research.
  4. Scholarly outputs contributing to emerging AI applications.

Research Impact

Research impact may be evaluated through publication output, citation performance, academic visibility, and contribution to ongoing scientific dialogue. The documented citation record demonstrates that the research outputs have received scholarly attention and contribute to the broader exchange of scientific knowledge. Continued publication activity has the potential to expand influence across academic and applied research domains.[1]

Award Suitability

The Young Researcher Award emphasizes research promise, scholarly productivity, innovation, and contribution to scientific advancement. Based on available academic indicators, Vijay Sangolgi demonstrates characteristics associated with emerging research excellence, including publication activity, engagement with contemporary technological research, and participation in scholarly communication. These factors support consideration within award programs recognizing early-career academic achievement.[1][4]

Conclusion

Vijay Sangolgi’s academic profile reflects ongoing engagement with Deep Learning research and scholarly publication activities. Through contributions to scientific literature and participation in advancing computational intelligence methodologies, the researcher represents the type of emerging scholar frequently recognized by early-career research distinction programs. The Young Researcher Award serves as a platform for acknowledging such contributions and encouraging future scientific achievement.[1]

References

  1. Scopus author details: Vijay Sangolgi, Author ID 58843968000. Scopus. https://www.scopus.com/authid/detail.uri?authorId=58843968000
  2. Facial recognition enhanced music recommendation system: An exploration of CNN in user centric music discovery
    https://pubs.aip.org/aip/acp/article-abstract/3385/1/030001/3380727/Facial-recognition-enhanced-music-recommendation?redirectedFrom=fulltext
  3. Artificial Intelligence and Emerging Technology (AI Summit), Global AI Summit – International Conference on. https://ieeexplore.ieee.org/xpl/conhome/11410557/proceeding
  4. Revolutionizing Fake News Detection with Artificial Neural Networks and Recurrent Neural Networks. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5091615

Jon Jyoti Sahariah | Medicinal Chemistry | Research Excellence Award

Published-on by Indian Scientist

Research Excellence Award

Jon Jyoti Sahariah
Dibrugarh University, India

Jon Jyoti Sahariah
Affiliation Dibrugarh University
Country India
Scopus ID 57225212218
Documents 19
Citations 125
h-index 6
Subject Area Medicinal Chemistry
Event Indian Scientist Awards

Jon Jyoti Sahariah is an academic researcher affiliated with Dibrugarh University, India, whose scholarly activities are associated with medicinal chemistry, pharmaceutical sciences, drug delivery systems, and therapeutic development. His published research contributions demonstrate engagement with contemporary challenges in drug discovery, targeted therapeutics, and biomedical innovation. Through peer-reviewed publications, citation impact, and interdisciplinary collaborations, he has contributed to advancing scientific understanding within medicinal chemistry and related biomedical disciplines.[1]

Abstract

This article presents an academic overview of Jon Jyoti Sahariah and his scholarly contributions within medicinal chemistry and pharmaceutical research. The profile summarizes research interests, publication records, citation metrics, scientific influence, and relevance to recognition through the Research Excellence Award. The assessment is based on publicly available scholarly indicators and peer-reviewed academic outputs.[1]

Keywords

Medicinal Chemistry, Drug Discovery, Pharmaceutical Sciences, Targeted Drug Delivery, Cancer Therapeutics, Liposomal Formulations, Biomedical Research, Therapeutic Development, Scientific Publications, Research Excellence.

Introduction

Medicinal chemistry plays a critical role in the development of novel therapeutic agents and advanced healthcare solutions. Researchers working in this field contribute to the identification, optimization, and evaluation of biologically active compounds for the prevention and treatment of diseases. Jon Jyoti Sahariah’s academic activities align with these objectives through investigations focused on pharmaceutical formulations, drug delivery systems, and therapeutic innovations. His work reflects interdisciplinary collaboration across chemistry, pharmacy, and biomedical sciences.[2]

Research Profile

The scholarly profile of Jon Jyoti Sahariah demonstrates sustained participation in scientific research and publication. According to available bibliometric indicators, his research output includes nineteen indexed documents, 125 citations, and an h-index of six. These metrics indicate measurable academic visibility and engagement within the scientific community. His publications encompass medicinal chemistry, drug delivery technologies, cancer therapeutics, and pharmaceutical innovations.[1]

  • Affiliation with Dibrugarh University, India.
  • Research specialization in medicinal chemistry and pharmaceutical sciences.
  • Indexed publications in peer-reviewed journals.
  • Interdisciplinary collaboration involving drug discovery and therapeutic development.

Research Contributions

Jon Jyoti Sahariah has contributed to studies involving natural bioactive compounds, targeted cancer therapies, liposomal drug delivery systems, and pharmaceutical technologies. Several publications examine mechanisms for improving therapeutic efficacy while reducing adverse effects associated with conventional treatments. Research efforts in these domains contribute to ongoing developments in precision medicine and translational pharmaceutical science.[3]

  • Investigation of natural compounds with therapeutic potential.
  • Research on advanced liposomal drug delivery systems.
  • Contributions to targeted cancer therapy methodologies.
  • Participation in multidisciplinary biomedical research projects.

Publications

Selected scholarly works associated with Jon Jyoti Sahariah include publications addressing cancer chemotherapy, liposomal drug delivery, and medicinal chemistry innovations. Representative studies include highly cited articles focusing on natural bioactive compounds and targeted therapeutic approaches.[3]

  1. Cancer Chemotherapy via Natural Bioactive Compounds.
  2. Advancing Liposomal Doxorubicin for Targeted Cancer Therapy.
  3. Research involving pharmaceutical formulation and drug delivery technologies.
  4. Studies related to medicinal chemistry and therapeutic development.

Research Impact

Research impact can be assessed through publication output, citation frequency, collaborative scholarship, and relevance to scientific advancement. The citation record associated with Jon Jyoti Sahariah indicates that his work has been referenced by researchers in related fields, reflecting scholarly engagement and knowledge dissemination. Contributions to pharmaceutical sciences and medicinal chemistry support ongoing scientific dialogue regarding improved therapeutic interventions.[1]

Award Suitability

The Research Excellence Award recognizes researchers demonstrating meaningful scholarly contributions, scientific productivity, and academic influence. Based on available publication records, citation metrics, and participation in medicinal chemistry research, Jon Jyoti Sahariah exhibits characteristics consistent with the objectives of academic recognition programs. His work contributes to knowledge advancement in pharmaceutical and biomedical sciences while supporting innovation in therapeutic research.[1][4]

Conclusion

Jon Jyoti Sahariah has established a scholarly profile characterized by contributions to medicinal chemistry, drug delivery systems, and pharmaceutical sciences. Through peer-reviewed publications, citation impact, and collaborative scientific efforts, he has participated in research addressing significant healthcare and therapeutic challenges. His academic record supports consideration for professional recognition through the Research Excellence Award and reflects ongoing engagement with scientific advancement.[1]

References

  1. Scopus author details: Jon Jyoti Sahariah, Author ID 57225212218. Scopus. https://www.scopus.com/authid/detail.uri?authorId=57225212218
  2. Cancer chemotherapy via natural bioactive compounds. https://www.benthamdirect.com/content/journals/cddt/10.2174/1570163819666220331095744
  3. From bench to bedside: Advancing liposomal doxorubicin for targeted cancer therapy. https://www.sciencedirect.com/science/article/pii/S2666845925000601
  4. Revolutionizing patient care: 3D printing for customized medical devices and therapeutics. https://link.springer.com/article/10.1007/s44174-025-00324-2

Abhishek Kumar | Environmental Biotechnology | Emerging Scientist Award

Published-on by Indian Scientist

Dr. Abhishek Kumar | Plant Biotechnolgy | Emerging Scientist Award

Graphic Era (Deemed to be University), Dehradun, India

Dr. Abhishek Kumar is a dedicated researcher and academician in forestry, biotechnology, and conservation biology, with strong expertise in plant ecology and environmental sustainability. He holds advanced degrees in biotechnology and forestry, and contributes to teaching and research at the postgraduate level. His experience spans academic roles and national research institutions, focusing on ecosystem restoration, invasive species management, and climate resilience. Recognized with prestigious young scientist and presentation awards, his work advances sustainable development and biodiversity conservation.

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Featured Publications


The Interplay Between Plant Functional Traits and Climate Change


– Plant Functional Traits for Improving Productivity (Cited by 48)


Comprehensive Overview of REDD+ in India: Status, Opportunities and Challenges


– Grassroots Journal of Natural Resources (Cited by 11)

Syandan Sinha Ray | Plant Biotechnolgy | Innovative Research Award

Published-on by Indian Scientist

Dr. Syandan Sinha Ray | Plant Biotechnolgy | Innovative Research Award

Ramakrishna Mission Vivekananda Educational and Research Institute, India

Dr. Syandan Sinha Ray is an accomplished scholar in agricultural biotechnology, with strong academic training in biotechnology and advanced research specialization. He serves as a teaching-cum-laboratory assistant, contributing to postgraduate education in areas such as molecular biology, genetic engineering, and bioinformatics. His research focuses on plant tissue culture, microbial applications, and sustainable agricultural innovations, supported by multiple publications and scholarly contributions. He has qualified a national-level eligibility test, reflecting his academic excellence. His work continues to advance scientific knowledge and practical applications in agricultural biotechnology.

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Mithra K | Wireless Communication/ Antenna Engineering | Most Cited Article Award

Published-on by Indian Scientist

Dr. Mithra K | Wireless Communication/ Antenna Engineering | Most Cited Article Award

Anna University, India

Dr. Mithra K is an accomplished researcher in wireless communications and antenna engineering, holding advanced degrees in information and communications engineering and electronics. With strong experience across academia, RF consulting, and independent research, her work focuses on MIMO systems, 5G/6G networks, and AI-driven network security. She has authored impactful publications, including a highly cited IEEE paper, and holds patents in communication technologies. Recognized through prestigious award nominations, her contributions continue to influence global research, advancing innovative and scalable wireless solutions.

Citation Metrics (Google Scholar)

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Adarsh Bharti | Fatigue and Fracture | Research Excellence Award

Published-on by Indian Scientist

Mr. Adarsh Bharti | Fatigue and Fracture | Research Excellence Award

Indian Institute of Technology Jodhpur, India

Mr. Adarsh Bharti is a dedicated researcher in materials engineering at Indian Institute of Technology Jodhpur, specializing in the mechanical behaviour of materials and structure–property correlations. He holds a Ph.D. and M.Tech. in Materials Engineering and a B.Tech. in Mechanical Engineering. His work focuses on low-cycle and multiaxial fatigue, cyclic plasticity, and advanced microstructural characterization. He has published in reputed international journals and received recognition for technical and poster presentations. His research advances understanding of fatigue mechanisms in FCC alloys.

Research Metrics (Scopus)

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Featured Publications


Deformation response and microstructure evolution in 304LN stainless steel subjected to multiaxial fatigue loading under different strain paths

A Bharti, S Sivaprasad, S Tarafder, A Bhattacharyya –
International Journal of Pressure Vessels and Piping
Cited by: 6 · Year: 2025


Effect of strain amplitude on low-cycle fatigue behavior of an alpha Cu-Zn alloy

A Bharti, H Maharaja, S Mishra, S Sivaprasad, A Bhattacharyya –
Materials Today Communications
Cited by: 3 · Year: 2025


Effect of strain amplitude on low-cycle fatigue deformation behavior of a Cu-Ni alloy

A Bharti, H Maharaja, S Sivaprasad, S Mishra, A Bhattacharyya –
Materials Science and Engineering: A
Cited by: 2 · Year: 2025


Comparison of in-phase and 90° out-of-phase multiaxial low-cycle fatigue behavior of a Cu-Ni alloy

A Bharti, H Maharaja, S Mishra, A Bhattacharyya –
Materials Today Communications
Year: 2025

Pooja Mathur | Pharmaceutics | Excellence in Research Award

Published-on by Indian Scientist

Pooja Mathur | Pharmaceutics | Excellence in Research Award

GD Goenka University | India

Dr. Pooja Mathur is an accomplished academic and researcher in Pharmaceutics with advanced doctoral training and extensive experience in teaching, research, and academic coordination. She has contributed significantly to pharmaceutical sciences through high-impact publications, books, patents, and interdisciplinary research. Her research interests include nanoformulations, drug delivery systems, phytopharmaceuticals, oncology therapeutics, and translational nanomedicine. She actively serves as a reviewer for reputed international journals and has received multiple recognitions for academic excellence, research output, and institutional contributions, reflecting her strong commitment to innovation and scholarly leadership.

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Priyanka Upadhyay | Robust Navigation | Best Researcher Award

Published-on by Indian Scientist

Ms. Priyanka Upadhyay | Robust Navigation | Best Researcher Award

Netaji Subhas University of Technology | India

Priyanka Upadhyay is a researcher in Electrical Engineering with growing contributions in autonomous robotics, intelligent navigation, and control systems. She is pursuing a doctoral degree focused on robust navigation of autonomous robots and holds postgraduate and undergraduate qualifications in Electrical Power Systems and Electrical & Electronics Engineering. Her research record includes publications on hybrid path-planning algorithms, enhanced Bezier-based trajectory modeling, autonomous mobile robot navigation, and control strategies for multi-link manipulators. Her work has gained academic attention, reflected in 16 citations, an h-index of 2, and i10-index of 0, demonstrating steadily increasing scholarly visibility with 8 citations since 2020. She has prior teaching experience as a faculty member in Electrical Engineering and has participated in several conferences, faculty development programs, and short-term courses related to artificial intelligence, optimization, robotics, renewable integration, and power electronics. Her technical expertise is strengthened by hands-on training in tools such as MATLAB and experience in industrial settings. She has earned recognition including a Silver Medal for an NPTEL Robotics certification and reviewer certification from an international robotics journal. Her research interests include electrical machines, robotic navigation, path planning, and intelligent control. She continues to advance her academic profile with a commitment to innovation, learning, and collaborative research.

Profile: Google Scholar

Featured Publications

Upadhyay, P., Rajesh, N., Garg, N., & Singh, A. (2015). Evaluating seed germination monitoring system by application of wireless sensor networks: A survey. In Computational Intelligence in Data Mining—Volume 2: Proceedings of the … (Cited by: 3).

Upadhyay, P., Singh, A., & Garg, N. (2014). Modeling software maintainability and quality assurance in the agile environment. International Journal of Database Theory and Application, 7(3), 83–90. (Cited by: 3).

Singh, P., Upadhyay, P., & Singh, S. K. (2025). Unlocking the economic potential of potato cultivars for mini-tuber production under aeroponic culture. Potato Research, 1–24. (Cited by: 2).

Upadhyay, P., Singh, R., & Rani, A. (2023). Reliable autonomous navigation of mobile robot in unconstrained environment. In 2023 10th International Conference on Signal Processing and Integrated Networks (SPIN) (pp. 531–537). IEEE. (Cited by: 2).

Upadhyay, P., Patil, K. U., Kuber, R., Kulkarni, V., & Singh, A. (2014). Evaluation of hypoxic-ischaemic events in preterm neonates using trans cranial ultrasound. International Journal of Healthcare and Biomedical Research, 3, 67–72. (Cited by: 2).

Shivalingaswamy T | Physics | Best Academic Researcher Award

Published-on by Indian Scientist

Prof. Shivalingaswamy T | Physics | Best Academic Researcher Award

Maharani’s Science College for Women | India

Dr. Shivalinga Swamy T is a distinguished physicist with significant contributions to quantum theory, nuclear physics, and advanced computational methods. He holds foundational degrees in physics leading to a doctoral dissertation focused on bound-state and scattering problems in quantum systems, supervised by a renowned expert in the field. His academic journey includes extensive specialized training in experimental physics, quantum mechanics, cryogenics, nanoscience, and advanced pedagogical methods, enhancing both his research and teaching capabilities. With a long-standing career in higher education, he has served in progressive roles from lecturer to professor, along with key administrative responsibilities such as evaluation, curriculum development, examination management, and academic governance across various institutions. His research interests span quantum mechanics, approximation methods, anharmonic oscillators, computational simulations, and nanomaterials, supported by a completed funded research project and ongoing Ph.D. supervision. He has authored research output that has received 2 citations, 1 indexed document, and carries an h-index of 1. His innovative physics experiments have repeatedly earned recognition at national conventions, along with awards for teaching excellence, research contributions, and scientific innovation. As an active member and leader in multiple professional physics bodies, he continues to advance physics education and research with dedication and impact.

Profile: Scopus | Orcid

Featured Publications

Kempaiah, A., Palakshamurthy, B. S., & Shivalingaswamy, T. (2025). Effect of charge compensators (Na⁺, Mg²⁺, Bi³⁺) on the photoluminescence properties of ZnAl₂O₄:Sm³⁺ orange-red light emitting nanophosphor. Nano Trends. https://doi.org/10.1016/j.nwnano.2025.100115

Shivalingaswamy, T., & Kagali, B. A. (2023). Relativistic approach to scattering. Nuclear and Particle Physics Proceedings. https://doi.org/10.1016/j.nuclphysbps.2023.07.026

Amal, F., Shivalingaswamy, T., & Kagali, B. A. (2023). A modified Bohr’s quantization rule to estimate the energy levels of relativistic systems. Physica Scripta. https://doi.org/10.1088/1402-4896/acef76

Jagadeesha, K., Ramu, Y. L., Shivalingaswamy, T., & Ramegowda, M. (2022). Theoretical investigations of state specific hydrogen atom transfer in 8-formyl-7-hydroxy-4-methylcoumarin. Asian Journal of Chemistry. https://doi.org/10.14233/ajchem.2022.23464