Debasish Jana

Assistant Professor

Colorado State University

United States

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Debasish Jana is an Assistant Professor at Colorado State University, USA. His research areas include wildfire resilience, earthquake-induced landslide hazards, and optimal capacity planning for hillside road networks. He has published recent articles on generative models for road networks, edge-based graph neural networks, and real-time vibration response estimation using advanced sensing techniques.

Articles (10)

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2025

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2025

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2024

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2023

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2023

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2023

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2022

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2022

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2022

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2022

Collaborators (6)

Satish Nagarajaiah

Professor

Rice University

UNITED STATES

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Keegan Moore

Assistant Professor

University of Nebraska - Lincoln

UNITED STATES

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Christoph Schwingshackl

Imperial College London

UNITED KINGDOM

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Ertugrul Taciroglu

Professor

University of California, Los Angeles

UNITED STATES

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Sriram Narasimhan

Associate Professor

University of Waterloo

CANADA

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Leonardo Duenas-Osorio

Rice University

UNITED STATES

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Debasish Jana

Research Interests

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Contact this professor

About

Articles (10)

Improving wildfire resilience of road networks through generative models

Risk-Optimal and Equitable Retrofitting Strategy Using a Siamese Graph Neural Network for Earthquake-Induced Landslide Hazards

Integrating vision and lidar based hyperlocal metadata for optimal capacity expansion planning in hillside road networks

Full-Field Vibration Response Estimation from Sparse Multi-Agent Automatic Mobile Sensors Using Formation Control Algorithm

Edge-based graph neural network for ranking critical road segments in a network

Data-driven full-field vibration response estimation from limited measurements in real-time using dictionary learning and compressive sensing

Measurement and identification of the nonlinear dynamics of a jointed structure using full-field data, Part I: Measurement of nonlinear dynamics

CNN and Convolutional Autoencoder (CAE) based real-time sensor fault detection, localization, and correction

Physics-Guided Real-Time Full-Field Vibration Response Estimation from Sparse Measurements Using Compressive Sensing

Computer vision‐based real‐time cable tension estimation algorithm using complexity pursuit from video and its application in Fred‐Hartman cable‐stayed bridge

Collaborators (6)

Satish Nagarajaiah

Keegan Moore

Christoph Schwingshackl

Ertugrul Taciroglu

Sriram Narasimhan

Leonardo Duenas-Osorio

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