Jyoti Katyal | Physics and Astronomy | Best Researcher Award

Dr. Jyoti Katyal | Physics and Astronomy | Best Researcher Award

Assistant Professor atAmity Institute of Applied Science, Amity University, Noida, India

Dr. Jyoti Katyal, an Assistant Professor at Amity University, Noida, holds a PhD from the prestigious Indian Institute of Technology (IIT) Delhi, with expertise in plasmonic nanostructures and their applications in biosensors and SERS substrates. With over a decade of research experience, her work focuses on computational modeling and optimization of metallic nanostructures across the deep-UV to NIR spectrum, aiming to enhance refractive index sensitivity and field enhancement properties. She has an impressive publication record with numerous Scopus-indexed research papers, book chapters, and conference presentations. Dr. Katyal has also received several recognitions, including the International Best Researcher Award (ISSN-2022) and Best Paper Award at ICADMA 2020. Besides her research contributions, she actively participates in academic administration, quality assurance, and mentoring students. Her dedication to advancing plasmonics research and her involvement in organizing scientific events make her a strong candidate for the Best Researcher Award.

Professional Profile 

Education

Dr. Jyoti Katyal has a strong academic background rooted in prestigious institutions and multidisciplinary research. She earned her PhD from the renowned Indian Institute of Technology (IIT) Delhi, specializing in plasmonic nanostructures and their applications in biosensors and Surface-Enhanced Raman Spectroscopy (SERS). Her doctoral research combined computational modeling and experimental techniques to design and optimize metallic nanostructures across various spectral ranges, from deep-UV to near-infrared (NIR). Prior to her PhD, she completed her Master’s and Bachelor’s degrees with a focus on physics and nanotechnology, equipping her with a solid foundation in material science, optics, and sensor development. Throughout her educational journey, Dr. Katyal developed expertise in advanced computational tools, numerical simulation techniques, and analytical characterization methods. Her academic training, enriched by research fellowships and collaborative projects, has laid a strong foundation for her contributions to academia, scientific innovation, and mentoring the next generation of researchers.

Professional Experience

Dr. Jyoti Katyal has built a diverse and impactful professional career, combining academic excellence with innovative research and collaborative projects. Currently, she serves as an Assistant Professor at Netaji Subhas University of Technology (NSUT), Delhi, where she mentors students and leads cutting-edge research in nanotechnology, plasmonics, and sensor development. Her professional journey includes extensive post-doctoral research experience at prestigious institutions, where she worked on interdisciplinary projects involving biosensors, nanomaterials, and advanced computational modeling. Dr. Katyal has also collaborated with leading national and international researchers, contributing to high-impact publications in reputed journals. Her expertise spans both theoretical and experimental research, allowing her to bridge the gap between computational design and real-world applications. In addition to her research, Dr. Katyal actively participates in academic committees, curriculum development, and research grant proposals, making significant contributions to the advancement of scientific knowledge and fostering innovation-driven education in the field of nanotechnology and materials science.

Research Interest

Dr. Jyoti Katyal is primarily interested in plasmonic nanostructures and their applications, with a focus on designing and optimizing metallic nanostructures for biosensing, plasmonic sensors, and SERS substrates. Her research explores computational modeling techniques using advanced simulation tools such as Lumerical’s FDTD software to analyze plasmonic responses across the deep-UV, visible, and near-infrared spectra. She investigates how variations in size, shape, and material composition influence localized surface plasmon resonances, field enhancement, and refractive index sensitivity. By developing novel nanostructured configurations, Dr. Katyal aims to enhance sensing performance and broaden spectral applicability. Her work also extends to optimizing plasmonic multilayered systems and exploring hetero-dimer or -trimer structures, with a keen focus on achieving high figures of merit for biosensing applications. This interdisciplinary research bridges materials science, optics, and nanotechnology, contributing significantly to advanced sensor design and functional nanomaterials. Continuously pushing boundaries, her innovative work promises next-generation diagnostic tools and breakthrough applications.

Awards and Honors

Dr. Jyoti Katyal has been recognized with several prestigious awards and honors that underscore her significant contributions to research and academia. Notably, she received the International Best Researcher Award from the International Society for Scientific Network Awards in 2022 for her work on the theoretical study of Magnetic-Plasmonic Fe-Al core-shell nanostructures for sensing applications. Additionally, she was honored with the Best Paper Award at the International Conference on Advances in Materials Processing & Manufacturing Applications (ICADMA 2020) for her research on localized surface plasmon resonance and field enhancement in metallic nanostructures. Her expertise and innovative work have earned her invitations as a jury member for research evaluations at IIT Delhi Open House 2024 and as an invited speaker at high-profile conferences such as ICRTMD-2023. Further, her active role as a reviewer and editorial board member for renowned journals reflects her esteemed position in the scientific community. Her work remains impactful.

Research Skills

Dr. Jyoti Katyal exhibits exceptional research skills underpinned by a robust foundation in theoretical and experimental methodologies. Her expertise encompasses advanced computational modeling techniques and the proficient use of simulation tools, such as Lumerical’s FDTD software, to analyze and optimize plasmonic nanostructures. Through meticulous design and systematic investigation, she explores size, shape, and material parameters to enhance localized surface plasmon resonances, field enhancement, and refractive index sensitivity. Her work reflects a deep understanding of the interplay between material properties and optical phenomena, enabling her to innovate sensor designs for biosensing and surface-enhanced Raman scattering applications. Dr. Katyal demonstrates strong analytical thinking, attention to detail, and a rigorous approach to hypothesis testing and data interpretation. Her collaborative mindset and leadership in guiding graduate research further amplify her ability to produce high-impact scientific contributions and foster advancements in nanotechnology and materials science. Her relentless pursuit of excellence consistently drives transformative global discoveries.

Conclusion

Dr. Jyoti Katyal’s track record, research focus, publication record, invited talks, peer-review responsibilities, and awards make her a highly deserving candidate for a Best Researcher Award. Her work in plasmonic nanostructures and biosensors is highly relevant to current scientific and technological challenges.

If the award criteria prioritize publication volume, conference participation, and academic engagement, she is highly suitable.
If the focus is on high-impact publications, funded projects, patents, or industry collaboration, some minor gaps exist, but they do not significantly detract from her overall suitability.

Publications Top Noted

  • Katyal, J., & Soni, R.K. (2013). Size- and shape-dependent plasmonic properties of aluminum nanoparticles for nanosensing applications. Journal of Modern Optics, 60(20), 1717–1728.
  • Katyal, J., & Soni, R.K. (2014). Localized surface plasmon resonance and refractive index sensitivity of metal–dielectric–metal multilayered nanostructures. Plasmonics, 9, 1171–1181.
  • Katyal, J. (2021). Localized surface plasmon resonance and field enhancement of Au, Ag, Al and Cu nanoparticles having isotropic and anisotropic nanostructure. Materials Today: Proceedings, 44, 5012–5017.
  • Katyal, J., & Soni, R.K. (2015). Field enhancement around Al nanostructures in the DUV–visible region. Plasmonics, 10, 1729–1740.
  • Katyal, J. (2018). Plasmonic coupling in Au, Ag and Al nanosphere homo-dimers for sensing and SERS. Advanced Electromagnetics, 7(2), 83–90.
  • Katyal, J. (2019). Comparison of localised surface plasmon resonance and refractive index sensitivity for metallic nanostructures. Materials Today: Proceedings, 18, 613–622.
  • Faujdar, S., Pathania, P., & Katyal, J. (2022). Systematic investigation of transition metal nitrides (ZrN, TiN) based plasmonic multilayered core–shell nanoparticle for sensing. Materials Today: Proceedings, 57, 2295–2298.
  • Sharma, C., Katyal, J., Deepanshi, & Singh, R. (2023). Effect of monomers and multimers of gold nanostars on localized surface plasmon resonance and field enhancement. Plasmonics, 18(6), 2235–2245.
  • Katyal, J. (2020). Al-Au heterogeneous dimer–trimer nanostructure for SERS. Nanoscience & Nanotechnology-Asia, 10(1), 21–28.
  • Katyal, J. (2019). Comparative Study Between Different Plasmonic Materials and Nanostructures for Sensor and SERS Application. In Reviews in Plasmonics (pp. 77–108).
  • Sharma, C., Katyal, J., & Singh, R. (2023). Aluminum Nano Stars with Localized Surface Plasmon Resonance and Field Enhancement. Nanoscience & Nanotechnology-Asia, 13(4), 57–64.
  • Sharma, C., Katyal, J., & Singh, R. (2023). Plasmon Tunability and Field Enhancement of Gold Nanostar. Nanoscience & Nanotechnology-Asia, 13(3), 13–18.
  • Faujdar, S., Nayal, A., Katyal, J., & Pathania, P. (2025). Simulation of TiN Nanospheres, Nanoellipsoids, and Nanorings for Enhanced Localized Surface Plasmon Resonance and Field Amplification. ChemistrySelect, 10(9), e202404987.
  • Yashika & Katyal, J. (2024). Detailed Analysis of Size and Shape of TiN Nanostructure on Refractive Index-Based Sensor. Plasmonics, 1–11.
  • Katyal, J. (2022). Plasmonic Properties of Al2O3 Nanoshell with a Metallic Core. Micro and Nanosystems, 14(3), 243–249.

Paul Kuwornu | Social Sciences | Best Researcher Award

Dr. Paul Kuwornu | Social Sciences | Best Researcher Award

Australian Centre for Health Services Innovation, Queensland University of Technology, Australia

Dr. Paul Kuwornu is a distinguished researcher specializing in health economics, biostatistics, and applied statistics, currently serving as a Senior Research Fellow at the Australian Centre for Health Services Innovation (AusHSI) at Queensland University of Technology. He holds a Ph.D. in Community Health Sciences from the University of Manitoba, Canada, and has a strong academic foundation in biostatistics, financial engineering, and economics. With extensive experience in health policy research, cost-effectiveness analysis, and patient-centered healthcare evaluations, he has contributed significantly to improving healthcare decision-making. Dr. Kuwornu has secured competitive research funding and authored over 26 peer-reviewed publications in high-impact journals, focusing on chronic disease management, health service utilization, and economic modeling in healthcare. His interdisciplinary expertise, spanning academia, government, and industry, underscores his leadership in advancing data-driven healthcare solutions. His contributions make him a strong candidate for the Best Researcher Award, given his impactful and innovative research in health economics.

Professional Profile

Education

Dr. Paul Kuwornu has a strong academic background in health economics, biostatistics, and applied statistics. He earned his Ph.D. in Community Health Sciences from the University of Manitoba, Canada, where he specialized in health services research, economic evaluations, and statistical modeling. Prior to his doctoral studies, he obtained a Master’s degree in Biostatistics, equipping him with advanced quantitative skills for analyzing healthcare data and policy impacts. Additionally, he holds a degree in Financial Engineering and Economics, providing him with a solid foundation in economic analysis, cost-effectiveness assessments, and healthcare financing. His interdisciplinary education has enabled him to bridge the gap between economic theory and healthcare practice, contributing to innovative research in health services optimization. Dr. Kuwornu’s academic journey reflects a commitment to rigorous research and evidence-based decision-making, positioning him as a leading expert in the field of health economics and biostatistics.

Professional Experience

Dr. Paul Kuwornu has extensive professional experience in health economics, biostatistics, and healthcare research. He has worked as a researcher and consultant in health services optimization, economic evaluations, and statistical modeling. His expertise spans various domains, including healthcare cost analysis, policy impact assessments, and data-driven decision-making. Dr. Kuwornu has collaborated with academic institutions, government agencies, and international organizations, contributing to health policy development and evidence-based interventions. He has also held academic positions, teaching biostatistics and health economics, mentoring students, and leading research projects on healthcare efficiency and accessibility. His work involves the application of advanced statistical methods to analyze healthcare outcomes and cost-effectiveness, ensuring optimal resource allocation. With a strong background in interdisciplinary research, he plays a pivotal role in shaping health policy and improving healthcare delivery systems. His contributions have significantly influenced public health strategies and economic evaluations in the healthcare sector.

Research Interest

Dr. Paul Kuwornu’s research interests lie at the intersection of health economics, biostatistics, and healthcare policy. His work focuses on economic evaluations of healthcare interventions, cost-effectiveness analysis, and health services research. He is particularly interested in optimizing healthcare resource allocation, improving healthcare accessibility, and assessing the financial implications of health policies. His research explores statistical modeling in health outcomes, risk prediction, and decision-making strategies for public health interventions. Dr. Kuwornu also investigates health disparities, social determinants of health, and the economic burden of diseases on healthcare systems. His interdisciplinary approach integrates quantitative methods, data analytics, and policy analysis to drive evidence-based solutions for healthcare sustainability. He actively collaborates with researchers, policymakers, and international organizations to address healthcare inefficiencies and enhance system performance. Through his work, he aims to bridge the gap between economic theory and practical healthcare applications, ultimately contributing to more effective and equitable healthcare delivery.

Award and Honor

Dr. Paul Kuwornu has received numerous awards and honors in recognition of his outstanding contributions to health economics and biostatistics. His accolades include prestigious research grants, fellowships, and academic excellence awards from leading institutions and international organizations. He has been honored for his innovative research in healthcare policy and economic evaluations, earning recognition for his work in optimizing healthcare resource allocation. Dr. Kuwornu has also received commendations for his impactful publications in high-impact journals and his contributions to public health initiatives. His excellence in teaching and mentorship has been acknowledged through various academic awards, reflecting his commitment to nurturing future researchers. Additionally, he has been invited as a keynote speaker at renowned conferences and has served as an expert reviewer for leading scientific journals. These awards and honors underscore his dedication to advancing health economics and policy research, reinforcing his reputation as a distinguished scholar in his field.

Research Skill

Dr. Paul Kuwornu possesses exceptional research skills in health economics, biostatistics, and healthcare policy analysis. His expertise includes advanced quantitative and qualitative research methodologies, econometric modeling, and statistical data analysis. He is proficient in using statistical software such as STATA, SPSS, R, and SAS for data interpretation and policy evaluation. Dr. Kuwornu excels in conducting systematic reviews, meta-analyses, and cost-effectiveness studies to assess healthcare interventions and resource allocations. His ability to develop innovative research frameworks has led to impactful contributions in healthcare financing, economic evaluations, and public health decision-making. He has a strong track record of publishing in high-impact journals, demonstrating his analytical rigor and academic excellence. Additionally, his research skills extend to grant writing, securing funding for interdisciplinary projects, and collaborating with international research teams. His commitment to evidence-based research and policy development makes him a highly respected scholar in the field of health economics and biostatistics.

Conclusion

Dr. Paul Kuwornu is a strong candidate for the Best Researcher Award, given his outstanding contributions to health economics, biostatistics, and healthcare innovation. His interdisciplinary research, international experience, and strong publication record make him a highly deserving nominee. Strengthening his global collaborations, leadership in large-scale funding, and increasing citation impact would further enhance his profile.

Publication Top Noted

Title: An economic evaluation of chronic obstructive pulmonary disease clinical pathway in Saskatchewan, Canada: Data-driven techniques to identify cost-effectiveness among patient subgroups

Authors: J.P. Kuwornu (John Paul), F. Maldonado (Fernando), G. Groot (Gary), A. Reid (Amy), D.D. Marciniuk (Darcy D.), and others

Year: 2024

Citations: 1