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Work Background
SLBRP Data Science Champion
Nov. 2023
SLBPrincipal Scientist
Oct. 2022Cambridge, Massachusetts, United States
SLBSenior Research Scientist
Mar. 2017 - Sep. 2022Cambridge, MA
SLBResearch Scientist
May. 2014 - Mar. 2017Cambridge, MA1- Developing electromagnetics based measurement concepts for next-generation logging tools.
2- Designing inversion driven workflows for well-placement and wireline logging tools.
SchlumbergerResearch Intern
Jun. 2012 - Aug. 2012Schlumberger-Doll Research, Cambridge, MA.A novel multiplicative L1 - regularizer was developed and validated on a suite of multi-physics data sets. Its multiplicative nature bypasses a-priori selection of regularization parameters while the L1 characteristics can tackle problems involving sparse data reconstruction.
Purdue UniversityResearch Assistant
Aug. 2009 - Apr. 2014ON-CHIP ELECTROMAGNETICS LAB- Developed the currently known fastest and most memory efficient DIRECT INVERSE based Volume Integral Equation Solvers for pure 3-D electromagnetic(EM) problems. These solvers promise minimal possible memory (O(N) for all frequencies) and solution time growth (O(N) for circuit and O(NlogN) for electrodynamic) in large-scale problems involving millions of EM unknowns. O(N) iterative solver completes the family of these record-breaking 3-D EM solvers.
- On the modeling side, a first-principles based circuit parameter extraction formulation was developed for handling arbitrarily shaped lossy conductors embedded in general inhomogenous media (in the presence or absence of external radiations).
- Lastly, first ever analytical treatment to low and 'high' frequency breakdown problems was developed which also solved long-standing 'excitation-field and radar-cross-section breakdown' problems bypassing the need for new formulation or pre-conditioning techniques.
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