Moderate magnitude 4.9 earthquake 44 km east of Xam Nua, Laos

Published: 12 November 2025
Categories: Global Earthquake Activity

RSS feed source: Volcano Discovery.com--Global earthquake monitor

Wednesday, Nov 12, 2025 16:46 | 1 hour ago | By: EarthquakeMonitor

Just 19 minutes ago, a 4.9-magnitude earthquake struck near Xam Nua, Houaphan, Laos. The tremor was recorded late at night on Wednesday, November 12th, 2025, at 11:26 pm local time, at a shallow depth of 10. km below the surface.
The event was filed by the citizen-seismograph network of RaspberryShake, the first seismological agency to report it.
Based on the preliminary seismic data, the quake should not have caused any significant damage, but was probably felt by many people as light vibration in the area of the epicenter.
Weak shaking might have been felt in Xam Nua (pop. 46,800) located 44 km from the epicenter, and Hoa Binh (pop. 105,300) 104 km away.
VolcanoDiscovery will automatically update magnitude and depth if these change and follow up if other significant news about the quake become available. If you’re in the area, please send us your experience through our reporting mechanism, either online or via our mobile app. This will help us provide more first-hand updates to anyone around the globe who wants to know more about this quake.

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Seismic-like event, possible earthquake, reported about 10 minutes ago near Hanoi, Hanoi, Vietnam

Published: 12 November 2025
Categories: Global Earthquake Activity

RSS feed source: Volcano Discovery.com--Global earthquake monitor

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PhD Positions in Machine Learning, Nonlinear Dynamics, and Control (Spring or Fall 2026)

Published: 12 November 2025
Categories: Eng Jobs Academic Keys

RSS feed source: Volcano Discovery.com--Global earthquake monitor

PhD Positions in Machine Learning, Nonlinear Dynamics, and Control (Spring or Fall 2026)

Applications are invited for two PhD positions in Electrical Engineering at Colorado State University in the interdisciplinary areas of Machine Learning (ML) in Nonlinear Dynamics and Control for the start date of Spring or Fall 2026. The Research areas are:

AI and ML in Nonlinear Dynamical Systems
Data-driven models will be developed for tasks such as time-series prediction and the forecasting of extreme events in complex and dynamical systems. Hybrid Control Systems
Control strategies will be explored that combine machine learning methods with classical control theory to enhance adaptability, robustness, and system performance. Collective Behavior in Complex Dynamical Networks
Emergent phenomena such as synchronization and pattern formation will be studied in large-scale networks, with emphasis placed on applications in neuroscience (e.g., brain dynamics) and engineering (e.g., power and sensor networks).

Highly motivated

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