Susmoy Das

Orcid: 0000-0001-9118-7402

According to our database1, Susmoy Das authored at least 10 papers between 2021 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
A Challenge-Led Digital Twin Federation Architecture For Urban Passenger Transport Decarbonisation.
Proceedings of the 17th International Conference on Ambient Systems, 2026

2025
Formal Analysis of Resilience in Transport Systems with Bigraphs.
Proceedings of the Computer Safety, Reliability, and Security. SAFECOMP 2025 Workshops, 2025

Modelling Railway Networks with Bigraphs: Electrification, Failures, and Optimisation.
Proceedings of the Reliability, Safety, and Security of Railway Systems. Modelling, Analysis, Verification, and Certification, 2025

2024
A Formal Framework of Model and Logical Embeddings for Verification of Stochastic Systems.
Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing, 2024

Process Mining Meets Probabilistic Model Checking via Model and Logical Embeddings.
Proceedings of the Principles of Verification: Cycling the Probabilistic Landscape, 2024

2023
On the Use of Model and Logical Embeddings for Model Checking of Probabilistic Systems.
Proceedings of the Formal Techniques for Distributed Objects, Components, and Systems, 2023

Probabilistic Model Checking of Temporal Interaction Dynamics in the Supreme Court.
Proceedings of the From Data to Models and Back - 11th International Symposium, 2023

2022
Embeddings Between State and Action Based Probabilistic Logics.
Proceedings of the Formal Aspects of Component Software - 18th International Conference, 2022

2021
Embeddings between state and action labeled probabilistic systems.
Proceedings of the SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, 2021

State Space Minimization Preserving Embeddings for Continuous-Time Markov Chains.
Proceedings of the Performance Engineering and Stochastic Modeling, 2021


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