Autoencoders for Seismic Waveforms: Compress, Learn, and Generate
Autoencoders learn compact representations by reconstructing seismic data. This tutorial explains their use...
Utpal Kumar, PhD
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- 144+ Posts
- 12 Topics
- Jul 2026 Updated
Caffeinate On and Off Controls for macOS with Alfred and SwiftBar
A compact macOS setup with two Alfred workflows for turning caffeinate on and off, plus SwiftBar for keepin...
Recent posts
Recent technical articles on seismic analytics, scientific computing, numerical modeling, and production data workflows.
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 found compelling evidence for low-frequency gravitational waves permeating the entire universe, opening a new window into cosmic phenomena. T...
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...
Mastering large data processing with mpi4py in python
Explore the power of mpi4py for simplifying data distribution in parallel computing with its efficient broadcast functionality, which seamlessly sends data f...
How to relocate your anaconda or miniconda installation on linux
Navigating the complexities of relocating your Anaconda or Miniconda installation on a Linux system can be daunting. This concise guide provides a step-by-st...
Exploring the multi-taper method: a robust approach for time-frequency analysis
Explore the Multi-Taper Method’s unique ability to refine spectral estimates in seismology. Leveraging multiple orthogonal tapers, this approach minimizes va...
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 found compelling evidence for low-frequency gravitational waves permeating the entire universe, opening a new window into cosmic phenomena. T...
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...
Mastering large data processing with mpi4py in python
Explore the power of mpi4py for simplifying data distribution in parallel computing with its efficient broadcast functionality, which seamlessly sends data f...
How to relocate your anaconda or miniconda installation on linux
Navigating the complexities of relocating your Anaconda or Miniconda installation on a Linux system can be daunting. This concise guide provides a step-by-st...
Exploring the multi-taper method: a robust approach for time-frequency analysis
Explore the Multi-Taper Method’s unique ability to refine spectral estimates in seismology. Leveraging multiple orthogonal tapers, this approach minimizes va...