Dr. Boris Wembe | Numerical Analysis | Research Excellence Award

Dr. Boris Wembe | Numerical Analysis | Research Excellence Award

Postdoctoral Researcher | Paderborn University | Germany

Dr. Boris Wembe is a distinguished applied mathematician whose research profile reflects strong international recognition in Numerical Analysis and advanced optimal control. His scholarly contributions emphasize Numerical Analysis in structure preserving algorithms, quantum control, geometric control, and partial differential equation constrained optimization, where Numerical Analysis plays a central methodological role. Through rigorous Numerical Analysis, he has developed efficient numerical schemes, high order integrators, and robust computational frameworks addressing complex control systems. His publication record includes peer reviewed articles in reputable international journals, demonstrating the sustained impact of Numerical Analysis on theoretical development and real world modeling. Active collaborations with researchers across europe and africa highlight his commitment to globally connected Numerical Analysis research. Beyond publications, his work supports scientific capacity building, mentoring, and outreach, reinforcing the societal relevance of Numerical Analysis in education, navigation, quantum technologies, and engineering applications. His research outcomes contribute to reliable simulations, decision making tools, and innovation driven by Numerical Analysis across interdisciplinary domains. Google Scholar profile of 51 Citations, 4 h index, 1 i10 index

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Featured Publications


A Zermelo navigation problem with a vortex singularity

ESAIM: Control, Optimisation and Calculus of Variations, 2021
Cited by 17


Singular versus boundary arcs for aircraft trajectory optimization in climbing phase

ESAIM: Mathematical Modelling and Numerical Analysis, 2023
Cited by 5


Minimum energy control of passive tracers advection in point vortices flow

APCA International Conference on Automatic Control and Soft Computing, 2020
Cited by 4

Sathya Arumugam Thirumalai | Computational Methods | Young Scientist Award

Mr. Sathya Arumugam Thirumalai | Computational Methods | Young Scientist Award

Mr. Sathya Arumugam Thirumalai | Indian Institute of Technology Roorkee | India

Mr. Sathya Arumugam Thirumalai is a highly motivated researcher whose work integrates Computational Methods with experimental nanomaterial science, emphasizing sustainability, environmental protection, and advanced detection technologies. His academic journey, from IIT Roorkee to TU Dresden, reflects an enduring commitment to merging experimental nanotechnology with Computational Methods for the synthesis and characterization of perovskite, MXene, and 2D materials. Mr. Sathya’s professional experience spans renowned institutions like IISc Bengaluru, BARC Mumbai, and IIT Roorkee, where he utilized Computational Methods in density functional theory (DFT) simulations, material modeling, and radiation detector design. His research, grounded in Computational Methods, has contributed to multiple journal publications addressing gas sensing, field emission, and radiation detection. He applies Computational Methods to optimize nanomaterial performance, enhance photonic properties, and improve the efficiency of radiation detectors. Recognized with several awards and fellowships, including the National Talent Search Fellowship and the Saxon Student Mobility Grant, he has demonstrated excellence in both theoretical and practical domains. His technical mastery extends to Python, MATLAB, COMSOL, and VASP, emphasizing his strength in applying Computational Methods across interdisciplinary fields. Mr. Sathya’s skill in Computational Methods enables him to bridge theoretical simulations with experimental validation, ensuring scientific precision and innovation. His collaborative engagements with global research groups highlight his leadership and cross-disciplinary adaptability. In conclusion, Mr. Sathya exemplifies how Computational Methods can revolutionize material science, fostering technological advancements that align with sustainability and human welfare.

Profiles: Google Scholar | ORCID

Featured Publications

1. Sathya, A. T., Jethawa, U., Sarkar, S. G., & Chakraborty, B. (2025). Pd-decorated MoSi₂N₄ monolayer: Enhanced nitrobenzene sensing through DFT perspective. Journal of Molecular Liquids, 427, 127310.

2. Sathya, A. T., Kandasamy, M., & Chakraborty, B. (2024). Strain induced nitrobenzene sensing performance of MoSi₂N₄ monolayer: Investigation from density functional theory. Surfaces and Interfaces, 55, 105386.

3. Sanyal, G., Vaidyanathan, A., Sathya, A. T., & Chakraborty, B. (2025). Efficient catechol sensing in newly synthesized 2D material Ti₂B MBene: Insights from density functional theory simulations. Langmuir, 41(33), 22525–22534.

4. Sathya, A. T., Sarkar, S. G., Bakhtsingh, R. I., & Mondal, J. (2024). Suppression of shielding effect of large area field emitter cathode in radio frequency gun environment. Physica Scripta, 99(12), 125301.