Kumar Ankit

Employment

• Arizona State University Associate Professor
  2023 - Present
• Arizona State University Assistant Professor
  2017 - 2023
• Texas A&M University Postdoctoral Research Associate
  2016 - 2017
• Karlsruher Institut für Technologie Group Leader
  2014 - 2016
• Hochschule Karlsruhe Technik und Wirtschaft Research Assistant
  2012 - 2014
• Universität Bayreuth Research Assistant
  2010 - 2012
• SINTEF Summer Intern
  2009 - 2012

Education

• Karlsruher Institut für Technologie Ph.D, /Dr.-Ing. (Summa Cum Laude)
  2012 - 2015
• Indian Institute of Technology, Banaras Hindu University Integrated Dual Degree (Bachelor + Master)
  2005 - 2010

Projects & Funding

Projects & funding information is unavailable.

Publications (43)

• Neural network and spectral characterization of diffusion-limited nanostructured hillock growth in physical vapor-deposited binary immiscible alloy films
  Materials & Design 2026 DOI: 10.1016/j.matdes.2026.116400
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• Tracking dendritic growth in hydrogen-based hematite reduction via computer vision
  Materials Characterization 2025 DOI: 10.1016/j.matchar.2025.115493
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• Density Functional Theory-Fed Phase Field Model for Semiconductor Nanostructures: The Case of Self-Induced Core–Shell InAlN Nanorods
  Crystal Growth & Design 2024 DOI: 10.1021/acs.cgd.4c00316
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• Phase-field modelling of electromigration-induced intergranular slit propagation in metal interconnects
  Computational Materials Science 2023 DOI: 10.1016/j.commatsci.2023.112330
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• Emulating microstructural evolution during spinodal decomposition using a tensor decomposed convolutional and recurrent neural network
  Computational Materials Science 2023 DOI: 10.1016/j.commatsci.2023.112187
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• A Novel Data-Driven Emulator for Predicting Electromigration-Mediated Damage in Polycrystalline Interconnects
  Journal of Electronic Materials 2023 DOI: 10.1007/s11664-023-10237-9
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• Capillary effects on curved solid–liquid interfaces: An overview
  Journal of Crystal Growth 2023 DOI: 10.1016/j.jcrysgro.2022.126871
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• Phase-field modeling of nanostructural evolution in physical vapor deposited phase-separating ternary alloy films
  Modelling and Simulation in Materials Science and Engineering 2022 DOI: 10.1088/1361-651X/aca03f
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• Predicting the Cu6Sn5 Growth Kinetics During Thermal Aging of Cu-Sn Solder Joints Using Simplistic Kinetic Modeling
  Journal of Electronic Materials 2022 DOI: 10.1007/s11664-022-09643-2
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• Quantifying microstructural evolution via time-dependent reduced-dimension metrics based on hierarchical n -point polytope functions
  Physical Review E 2022 DOI: 10.1103/PhysRevE.105.025306
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