Respect the acquisition
Start with geometry, phase content, bandwidth, illumination, and independent observations.
Dr Deepak Kumar · Computational geophysicist
Imaging the Earth.Quantifying what we know.
I build physics-informed seismic inversion and uncertainty workflows—from crustal-scale wide-angle data to exploration and E&P decisions.
Assistant ProfessorInstitute of Geophysics, Polish Academy of SciencesWarsaw, Poland
Current researchPhysics → model → confidence
calibrated uncertainty
8+years across research & industry
3countries · India, UAE, Poland
2D · 3D · 3Cplus wide-angle seismology
Crust → reservoirone integrated subsurface view
My working method
Signal → model → confidence
A defensible subsurface model should connect what was measured, how physics was used, and what uncertainty remains.
Keep physics visible
Use inversion, modelling, and learning in roles that remain physically traceable and testable.
Calibrate the claim
Separate sampling, model class, distribution shift, and prediction—then audit what matters.
Featured research
From wavefields to decision-ready evidence
Four research programmes connect crustal geophysics, full-waveform inversion, scientific machine learning, and reliability.
View all researchReliability-calibrated deep residual FWI
A geometry-invariant, physics-encoded residual ensemble that corrects a classical FWI prior and audits predictive uncertainty with held-out shots.
FWIConformal calibrationResidual learningMarmousi-2
View case study 
How firmly is the Dharwar Craton Moho constrained?
A dependence-aware uncertainty study that separates receiver sampling, complete-shot influence, and velocity/model-class uncertainty in a 210-km crustal profile.
MohoBlock bootstrapModel-class uncertainty
View case study 
ADMM-guided physics-informed deep learning
A hybrid acoustic-impedance inversion in which an ADMM formulation, reweighted ℓ₁ sparsity, and learned representations work inside one traceable workflow.
ADMMAcoustic impedanceReweighted ℓ₁
View case study Lithosphere to reservoir
One geophysics practice, multiple scales
My work spans fundamental Earth structure and applied subsurface questions, with the same emphasis on physics, evidence, and uncertainty.
Seismic imaging
2-D, 3-D, 3-C, active-source, passive-source, and wide-angle processing and interpretation.
Inversion & modelling
FWI, tomography, acoustic impedance, ray tracing, velocity-model building, depth imaging, gravity, and heat flow.
Scientific machine learning
Physics-informed learning, residual ensembles, CNNs, conformal calibration, and sparse regularization.
Exploration & E&P
Horizon and fault interpretation, well ties, reservoir characterization, hydrocarbon-trap evaluation, and CCUS risk workflows.
Reliability
Held-out prediction, acquisition-shift testing, block bootstrap analysis, model-class trade-offs, and reproducible computation.
Technical leadership
Team leadership, stakeholder communication, international collaboration, mentoring, workshops, and invited teaching.
Selected experience
Research depth. Industry context.
More than eight years across India, the UAE, and Poland—from crustal seismology and academic research to 3-D interpretation, depth imaging, CCUS, and technical leadership.
Full experienceAssistant Professor · Seismic Research, Lithospheric Team
Institute of Geophysics, Polish Academy of Sciences · Warsaw, Poland
Leads research at the intersection of lithospheric imaging, inversion, uncertainty, anisotropy, and geodynamic modelling.
Research Assistant · Lithospheric Research
Institute of Geophysics, Polish Academy of Sciences · Warsaw, Poland
Phase picking, inversion, seismic imaging, and velocity/anisotropy analysis for Spitsbergen crust and upper mantle.
Consultant / Geoscientist
Planetone Group · Dubai, UAE
Delivered 3-D seismic interpretation and velocity-modelling work for an E&P setting.
Research Geoscientist & Team Lead · Seismic Core
IndiCOMET Geoscience · Noida, India
Led a seismic inversion and modelling team working on velocity-model building and depth imaging in complex geology.
Senior Project Associate · Shallow Seismic
CSIR–National Geophysical Research Institute · Hyderabad, India
Applied machine learning and seismic inversion to CCUS risk, post-stack inversion, and reservoir interpretation.
Field notes
Geoscience, methods, and the E&P decision chain
Long-form explanations written for geoscientists, researchers, and subsurface decision-makers.
Read all five articlesFrom source to subsurface image: how the seismic method actually works
A seismic image is not a photograph. It is a model-dependent reconstruction shaped by acquisition, processing, velocity, imaging, and interpretation.
Read field noteFull-waveform inversion and uncertainty: a model is not the same as the truth
FWI can recover high-resolution structure, but meaningful confidence requires tests of data, physics, parameterization, and distribution shift.
Read field noteFrom basin screening to production: the exploration and E&P decision chain
Geoscience creates value by reducing the uncertainties that matter as decisions move from regional screening to drilling, development, surveillance, and closure.
Read field noteCurrent manuscripts
Research in review and public preprints
Exact journal status is shown for every manuscript. Preprints remain openly accessible through DOI links.
Complete publication record2026Submitted to Computers & Geosciences
Reliability-calibrated deep residual full-waveform inversion using geometry-invariant physics encoding: synthetic validation and zero-shot Marmousi-2 testing
DOI 10.48550/arXiv.2607.28535 ↗2026Submitted to Geophysical Journal International
Calibrated uncertainty for wide-angle crustal models: how firmly is the Dharwar Craton Moho actually constrained?
DOI 10.48550/arXiv.2607.28199 ↗2026Submitted to IEEE Transactions on Geoscience and Remote Sensing
ADMM-guided physics-informed deep learning for two-dimensional acoustic impedance inversion with reweighted ℓ₁ sparse regularization
DOI 10.31223/X56J49 ↗Recognition
Curiosity backed by sustained work
Young Scientist recognition, a national research fellowship, academic distinction, field experience, and teaching across international settings.
Young Scientist Award
2nd Triennial FIGA Congress
Certificate of Excellence
SEG/Chevron Student Leadership Symposium
DST–INSPIRE Fellowship
Department of Science and Technology, Government of India
Gold Medal & University Topper
M.Sc. Marine Geophysics, Andhra University