Areas of Research Interest
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Computational Electromagnetics - Stochastic FEM & FDTD.
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Method of moments - Fast matrix computations and parallelization.
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Finite Difference Time Domain approach to estimate High frequency high amplitude EM interference on package boards and circuits.
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Inverse problems in Microwave Imaging for breast cancer detection.
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Machine Learning approach to forward solvers and inverse solvers.
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Robotics - Autonomous air, sea, undersea, and land vehicles. Neural network modeling of cognitive functions. Computational Design of Robots etc.
Doctoral Thesis
- R. Kiran and K. J. Vinoy, "Stochastic Methods in Time Domain Electromagnetic Computations," Dept. of ECE, IISc Bangalore. PDF
Journals
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R. Kiran and K. J. Vinoy, "A Reduced Order PCE based Time Domain Method for Large Uncertainties," in IEEE Transactions on Antennas and Propagation, 2023. DOI: 10.1109/TAP.2023.3260585. PDF
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R. Kiran and K. J. Vinoy, "A Stochastic Radial Point Interpolation Method for Wideband Uncertainty Analysis," IEEE Antennas and Wireless Propagation Letters, July 2021, DOI: 10.1109/LAWP.2021.3095913. PDF
Conferences
- 3D Inverse Electromagnetic Solver using Deep Neural Network towards Breast Cancer Detection, Veena Suresh and Kiran R, 2018 IEEE Recent Advances in Intelligent Computational Systems. PDF
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Dynamic Obstacle Avoidance For A Quadrotor Using Collision Cone Approach, Chris Mathews Narekattu, Sreeja. S, Dr. V. R. Jisha, Kiran. R, Gokulnath. K, Second IEEE International Conference on Intelligent Computing and Control Systems. PDF
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An FDTD Method for the Transient Terminal Response of a PCB Trace Illuminated by an Electromagnetic Wave. Springer COMNET 2019. PDF
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Analysis of Electromagnetic Field Variance in Random PCB Model Using 2D Stochastic FDTD. Springer COMNET 2019. PDF
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A Stochastic Radial Point Interpolation Method for Uncertainty Analysis in Geometry, 2023 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization (NEMO), Winnipeg, CANADA.