Turning Your Home Computer into a Home Server You Can Access Remotely
Turn your everyday computer into a home server you can access from anywhere using Dynamic DNS, a simple upd...
Utpal Kumar, PhD
Earth Inversion
Computational Seismology, Scientific Software, and Data-Driven Infrastructure Monitoring
Technical writing on geophysical pipelines, scalable data analysis, and reproducible research engineering.
- 133+ Published Posts
- 10 Topic Categories
- 2026-02-19 Updated This Year
Research
Peer-reviewed work in seismology, structural health monitoring, and large-scale inversion.
Data Analysis
End-to-end workflows for high-volume scientific data: ingestion, QC, feature extraction, and modeling.
Web Computing
Cloud and web platforms for real-time sensing, visualization, and operational analytics.
The Need for Structural Health Monitoring in the San Francisco Bay Area
The San Francisco Bay Area combines high seismic hazard, dense urban exposure, and aging infrastructure. St...
Recent posts
Recent technical articles on seismic analytics, scientific computing, numerical modeling, and production data workflows.
Macos file indexing using python
A Python-based solution for indexing and searching files on a macOS system using SQLite, FAISS, and semantic search.
The impact of cloud computing on geophysical and seismological research
Cloud computing is transforming geophysical and seismological research by enabling scalable processing, faster collaboration, and reproducible workflows for ...
Understanding docker: a beginner’s guide for geophysics students
A practical introduction to Docker for geophysics students, including images, containers, volumes, and a simple workflow for reproducible seismic data analys...
Getting started with databricks for big data analysis
Learn how to set up Databricks, create your first Spark cluster, upload data, and run PySpark notebooks for scalable big data analysis.
Solving a toy earthquake location problem using a genetic algorithm
Discover how Genetic Algorithms can be applied to solve the earthquake location problem in seismology. This post walks through generating synthetic seismic d...
How to sync zotero files using webdav and google drive with koofr: a step-by-step guide
Learn how to seamlessly sync your Zotero files across devices using WebDAV with Koofr and Google Drive. This step-by-step guide ensures your research materia...
Integrating mems accelerometers and broadband seismometers: challenges and opportunities in modern seismology
While MEMS accelerometers offer advantages in cost, size, and deployment flexibility compared to traditional broadband seismometers, they face limitations in...
Understanding mems accelerometers
While MEMS accelerometers offer advantages in cost, size, and deployment flexibility compared to traditional broadband seismometers, they face limitations in...
Cosmic whispers: scientists detect universe-wide gravitational wave background
Scientists have detected low-frequency gravitational waves permeating the entire universe, opening a new window into cosmic phenomena. This groundbreaking di...
Structural health monitoring using low-cost sensors and wireless networks
The advent of low-cost Microelectromechanical Systems (MEMS) sensors has revolutionized Structural Health Monitoring (SHM) of buildings, enabling cost-effect...
Rabbitmq for seismic waveforms: enabling reliable data communication
Learn how to use RabbitMQ with Python to publish and consume seismic waveform messages reliably in real time for distributed seismology workflows.
Understanding the metropolis-hastings algorithm: a step-by-step guide with python examples
The Metropolis-Hastings algorithm is a cornerstone of Markov Chain Monte Carlo (MCMC) methods, enabling us to generate samples from complex probability distr...
Macos file indexing using python
A Python-based solution for indexing and searching files on a macOS system using SQLite, FAISS, and semantic search.
The impact of cloud computing on geophysical and seismological research
Cloud computing is transforming geophysical and seismological research by enabling scalable processing, faster collaboration, and reproducible workflows for ...
Understanding docker: a beginner’s guide for geophysics students
A practical introduction to Docker for geophysics students, including images, containers, volumes, and a simple workflow for reproducible seismic data analys...
Getting started with databricks for big data analysis
Learn how to set up Databricks, create your first Spark cluster, upload data, and run PySpark notebooks for scalable big data analysis.
Solving a toy earthquake location problem using a genetic algorithm
Discover how Genetic Algorithms can be applied to solve the earthquake location problem in seismology. This post walks through generating synthetic seismic d...
How to sync zotero files using webdav and google drive with koofr: a step-by-step guide
Learn how to seamlessly sync your Zotero files across devices using WebDAV with Koofr and Google Drive. This step-by-step guide ensures your research materia...
Integrating mems accelerometers and broadband seismometers: challenges and opportunities in modern seismology
While MEMS accelerometers offer advantages in cost, size, and deployment flexibility compared to traditional broadband seismometers, they face limitations in...
Understanding mems accelerometers
While MEMS accelerometers offer advantages in cost, size, and deployment flexibility compared to traditional broadband seismometers, they face limitations in...
Cosmic whispers: scientists detect universe-wide gravitational wave background
Scientists have detected low-frequency gravitational waves permeating the entire universe, opening a new window into cosmic phenomena. This groundbreaking di...
Structural health monitoring using low-cost sensors and wireless networks
The advent of low-cost Microelectromechanical Systems (MEMS) sensors has revolutionized Structural Health Monitoring (SHM) of buildings, enabling cost-effect...
Rabbitmq for seismic waveforms: enabling reliable data communication
Learn how to use RabbitMQ with Python to publish and consume seismic waveform messages reliably in real time for distributed seismology workflows.
Understanding the metropolis-hastings algorithm: a step-by-step guide with python examples
The Metropolis-Hastings algorithm is a cornerstone of Markov Chain Monte Carlo (MCMC) methods, enabling us to generate samples from complex probability distr...