Produktbild: Machine Learning and Mathematical Models in Evolutionary Biology
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Machine Learning and Mathematical Models in Evolutionary Biology Insights, Innovations, and Applications

Aus der Reihe Computational Biology

Fr. 241.00

inkl. gesetzl. MwSt., Versandkostenfrei


Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

13.09.2026

Abbildungen

X, 131 illus., 110 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen

Herausgeber

Satyvir Singh + weitere

Verlag

Springer

Seitenzahl

358

Maße (L/B)

23.5/15.5 cm

Sprache

Englisch

ISBN

978-3-032-25850-2

Beschreibung

Portrait

Dr. Satyvir Singh is currently working as a Research Associate Fellow in the Institute of Applied and Computational Mathematics (ACoM) at RWTH Aachen University, Germany. He earned his Ph.D. in Computational Fluid mechanics in the School of Mechanical and Aerospace Engineering at Gyeongsang National University, South Korea. Subsequently, He worked as a Senior Research Fellow at Research Center for Aircraft Parts Technology, Gyeongsang National University, South Korea in 2018. After then, Dr. Singh worked as a Research Fellow in School of Physical and Mathematical Sciences at Nanyang Technological University Singapore during 2018-2022. He completed Master Degree M.Tech. in Industrial Mathematics & Scientific Computing at Indian Institute of Technology Madras, India (QS ranking # 250), as well as Master Degree M.Sc. in Mathematics at CCS University Meerut, India. He qualified two highly competitive Indian examinations -Junior Research Fellowship and National Eligibility Test in Mathematical Sciences (2011) with All Indian Rank # 38, and Graduate Aptitude Test for Engineering in Mathematics (2012) with All Indian Rank - 244. Dr. Singh has a vast research area, including computational fluid dynamics, high order numerical methods, hydrodynamic instability, gas kinetic theory, heat and mass transfer, and computational biology.

Dr. Mukesh Kumar Awasthi has done his Ph.D. on the topic “Viscous Correction for the Potential Flow Analysis of Capillary and Kelvin-Helmholtz instability”. He is working as an Assistant Professor in the Department of Mathematics at Babasaheb Bhimrao Ambedkar University, Lucknow. Dr. Awasthi is specialized in the mathematical modeling of flow problems. He has taught courses of Fluid Mechanics, Discrete Mathematics, Partial differential equations, Abstract Algebra, Mathematical Methods, and Measure theory to postgraduate students. He has acquired excellent knowledge in the mathematical modeling of flow problems and he can solve these problems analytically as well as numerically. He has a good grasp of the subjects like viscous potential flow, electro-hydrodynamics, magneto-hydrodynamics, heat, and mass transfer. He has excellent communication skills and leadership qualities. He is self-motivated and responds to suggestions in a more convincing manner. Dr. Awasthi has qualified National Eligibility Test (NET) conducted on all India level in the year 2008 by the Council of Scientific and Industrial Research (CSIR) and got Junior Research Fellowship (JRF) and Senior Research Fellowship (SRF) for doing research.

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

13.09.2026

Abbildungen

X, 131 illus., 110 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen

Herausgeber

Verlag

Springer

Seitenzahl

358

Maße (L/B)

23.5/15.5 cm

Sprache

Englisch

ISBN

978-3-032-25850-2

Herstelleradresse

Springer International Publishing AG
Gewerbestr. 11
6330 Cham
Schweiz
Url: www.springer.com

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  • Produktbild: Machine Learning and Mathematical Models in Evolutionary Biology
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