Aishwarya Jaiswal | Numerical Analysis | Best Researcher Award

Published-on by Indian Scientist

Ms. Aishwarya Jaiswal | Numerical Analysis | Best Researcher Award

IIT BHU| India

Aishwarya Jaiswal is a dedicated researcher in numerical analysis of partial differential equations, contributing to the advancement of efficient and uniformly convergent computational methods. With strong academic preparation in mathematics and computing from premier Indian institutes, she has developed expertise in numerical schemes for singularly perturbed systems, convection–diffusion models, parabolic reaction–diffusion equations, and multiscale interface problems. Her scholarly output includes multiple peer-reviewed publications in international journals, supported by citation metrics that reflect early research impact, including 1 citation, 1 h-index, and 0 i10-index, along with 1 indexed document. She has worked on diverse research themes such as boundary and interior layer phenomena, component-wise splitting algorithms, higher-order numerical schemes, and efficient discretization techniques. Her academic journey includes hands-on research experience through conference presentations, workshops, and collaborative visits at reputed institutions, contributing to global knowledge exchange in applied mathematics. Her interests span numerical PDEs, error analysis, computational methods, and scientific computing. She has been recognized with prestigious competitive awards, including highly regarded research fellowships that support her doctoral investigations. Through her continued focus on accuracy, robustness, and computational efficiency, she aims to contribute impactful advancements to the field of numerical mathematics and applied scientific computation.

Profile: Google Scholar

Featured Publications

Jaiswal, A., Kumar, S., & Ramos, H. Boundary and interior layer phenomena in coupled multiscale parabolic convection–diffusion interface problems: Efficient numerical resolution and analysis. International Journal of Numerical Methods for Heat & Fluid Flow., Cited by: 1

Jaiswal, A., Kumar, S., & Clavero, C. Efficient component-wise splitting approach to solve coupled singularly perturbed parabolic reaction–diffusion systems with interior layers. Numerical Algorithms.

Jaiswal, A., Kumar, S., & Ramos, H. Efficient uniformly convergent numerical methods for singularly perturbed parabolic reaction–diffusion systems with discontinuous source term. Journal of Applied Mathematics and Computing.

Jaiswal, A., Kumar, S., & Kumar, S. A priori and a posteriori error analysis for a system of singularly perturbed Volterra integro-differential equations. Computational and Applied Mathematics, 42(6), 278.

Partha Barman | Nanotechnology | Best Academic Researcher Award

Published-on by Indian Scientist

Prof. Partha Barman | Nanotechnology | Best Academic Researcher Award

Jaypee University of Information Technology | India

Prof. Partha Bir Barman, currently Professor and Head of the Department of Physics & Materials Science at Jaypee University of Information Technology, is an Indian materials physicist whose research spans bulk crystal growth of III-V compound semiconductors, chalcogenide glasses and thin films, oxidation studies of III-V materials, device fabrication and characterization, and nano-ferrite and graphene-based layered materials for hydrogen storage and selective gas sensing. He earned his M.Sc. in Physics (Solid State Physics) and his Ph.D. in Physics (Materials Science) from Indian universities with the entire experimental work carried out at the Materials Science Centre, Indian Institute of Technology Kharagpur. Over his career he has supervised eight Ph.D. students to completion and currently guides four more. His publication profile, according to Google Scholar, shows an h-index of 25 with over 2,260 citations. He has been awarded a CSIR Research Fellowship, held multiple major projects supported by Indian funding agencies (MHRD, DST, SERB, HIMCOSTE) and serves on the editorial and peer-review panels of leading materials science journals. In his teaching role spanning nearly two decades, he has taught and developed courses in Engineering Materials, Nanotechnology, Thin Film Technology and Materials Science across undergraduate and postgraduate levels. His contributions have advanced semiconductor crystal growth and sensing materials and point to a vibrant future in device-materials interplay.

Profile: Google Scholar | Scopus

Featured Publications

Thakur, A., Singh, R. R., & Barman, P. B. (2013). Synthesis and characterizations of Nd³⁺ doped SrFe₁₂O₁₉ nanoparticles. Materials Chemistry and Physics, 141(1), 562–569. https://doi.org/10.1016/j.matchemphys.2013.05.052

Singh, R., Barman, P. B., & Sharma, D. (2017). Synthesis, structural and optical properties of Ag doped ZnO nanoparticles with enhanced photocatalytic properties by photo degradation of organic dyes. Journal of Materials Science: Materials in Electronics, 28(8), 5705–5717. https://doi.org/10.1007/s10854-016-6251-3

Sharma, R., Thakur, P., Kumar, M., Barman, P. B., Sharma, P., & Sharma, V. (2017). Enhancement in AB super-exchange interaction with Mn²⁺ substitution in Mg-Zn ferrites as a heating source in hyperthermia applications. Ceramics International, 43(16), 13661–13669. https://doi.org/10.1016/j.ceramint.2017.07.108

Gupta, D., Dutta, D., Kumar, M., Barman, P. B., Sarkar, C. K., Basu, S., & Hazra, S. K. (2014). A low temperature hydrogen sensor based on palladium nanoparticles. Sensors and Actuators B: Chemical, 196, 215–222. https://doi.org/10.1016/j.snb.2014.01.058

Thakur, A., Singh, R. R., & Barman, P. B. (2013). Structural and magnetic properties of La³⁺ substituted strontium hexaferrite nanoparticles prepared by citrate precursor method. Journal of Magnetism and Magnetic Materials, 326, 35–40. https://doi.org/10.1016/j.jmmm.2012.08.034