Bibhuti
Curriculum Vitae
Academic profile & Research overview

About Me

A quick snapshot, optimized for the web.

What I work on

I build models and datasets that connect observations to solar-cycle physics: surface flux transport (AFT/SFT), active-region emergence, and full-Sun magnetic reconstructions.

Solar cycle variability Full-Sun magnetic maps Polar fields Far-side ARs

How I work

  • Build robust, reproducible data pipelines for solar archives.
  • Validate models with multi-observatory comparisons and uncertainty checks.
  • Design ML-ready products for analysis and forecasting workflows.

Publications are live & searchable

JSON-backed list with year filter, search, and links.

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Experience

Roles and impact

Research Scientist — SwRI (Boulder, CO)
Oct 2024 – Present
  • Historical reconstruction of solar surface magnetism using SARG + AFT.
  • Cross-calibration of magnetograms and ML-ready data products.
Postdoctoral Researcher — SwRI (Boulder, CO)
Jan 2023 – Sep 2024
  • AFT/SFT modeling; far-side active region integration and validation.
  • Comparisons to synoptic maps and polar field diagnostics.
Researcher — Frontier Development Lab (FDL), USA
Jun 2024 – Aug 2024
  • ML workflows and rapid prototyping for heliophysics applications.
PTSF / SRF / JRF — ARIES & IIA
2017 – 2022
  • Long-term solar variability; observational and modeling studies.

Education

Degrees & thesis

PhD (Physics)

Indian Institute of Astrophysics (IIA), Bangalore • Pondicherry University

Years: 2017 – 2022
Thesis: Long-term study of the Sun and its implications to solar dynamo models
Supervisor: Prof. Dipankar Banerjee

M.Sc. (Hons) Physics

Hindu College, University of Delhi • 2014 – 2016

B.Sc. (Hons) Physics

Dyal Singh College, University of Delhi • 2011 – 2014

Research

Themes & directions

Current directions

  • Reconstruction of solar surface magnetism (Cycles 1–24).
  • Full-Sun magnetic maps with far-side information integration.
  • Polar field evolution and reversal timing.

Methods

AFT / SFT Synoptic maps UQ Cross-calibration Feature detection ML pipelines
Publications stay on the dedicated page to keep this web CV fast and readable.

Toolbox

What I use daily

Programming
PythonFortranBashGit
Scientific stack
NumPySciPyAstropySunPyh5py
Data & viz
FITSHDF5MatplotlibDashboards
ML
PyTorchFeature extractionPipelinesEvaluation

Talks

Selected talks and presentations

  • Integrating Far-Side Active Regions into AFT — Seminar (Year)
  • Polar Field Reversal Timing — Conference (Year)

Service

Community contributions

  • Journal reviewer (as applicable).
  • Workshops, sessions, mentoring (as applicable).
  • Open-source/data products (as applicable).