Dr Susmoy Das
- Research Associate (School of Computing Science)
email:
Susmoy.Das@glasgow.ac.uk
pronouns:
He/him/his
Biography
Susmoy Das is a post-doctoral researcher specializing in formal methods for the modeling, specification, and verification of reactive systems. He holds a bachelor's and master's degree in mathematics from Jadavpur University, where he studied mathematics, statistics, and computer science. He later joined the Indian Statistical Institute, Kolkata as a researcher in applied machine learning, gaining valuable experience in data-driven techniques and interdisciplinary applications.
He earned his PhD in Electrical Engineering and Computer Science from the Indian Institute of Science Education and Research (IISER) Bhopal, India, under the supervision of Dr. Arpit Sharma. His doctoral research focused on developing sound techniques, temporal logic frameworks, and model checking algorithms to enhance the analysis of stochastic systems across various domains. Currently, he is a Research Associate in the UK working with Michele Sevegnani.
Research interests
Susmoy is contributing to the TransiT project, a multi-institutional collaboration involving industrial and academic partners. His work explores the use of formal (verification) methods in Digital Twins, aiming to reason about, validate, and predict system behaviors to support sustainable and resilient futures. Beyond his core research, he is keen on applying model checking techniques to emerging domains, uncovering new attributes, challenging existing principles, and offering fresh perspectives through rigorous formal analysis.
Research groups
- Formal Analysis, Theory & Algorithms
Publications
Prior publications
Article
Susmoy Das, Arpit Sharma (2025) Embeddings Between State and Action Based Probabilistic Logics Formal Aspects of Computing Crossref. (doi: 10.1145/3696431)
Book Section
Susmoy Das, Arpit Sharma (2025) Process Mining Meets Probabilistic Model Checking via Model and Logical Embeddings Lecture Notes in Computer Science Susmoy Das. ISBN 9783031757754 ISSN 1611-3349 (doi: 10.1007/978-3-031-75775-4_9)
Susmoy Das, Arpit Sharma (2023) On the Use of Model and Logical Embeddings for Model Checking of Probabilistic Systems Formal Techniques for Distributed Objects, Components, and Systems Susmoy Das. ISBN 9783031353550 ISSN 1611-3349 (doi: 10.1007/978-3-031-35355-0_8)
Susmoy Das, Arpit Sharma (2022) Embeddings Between State and Action Based Probabilistic Logics Formal Aspects of Component Software Susmoy Das. ISBN 9783031208720 ISSN 1611-3349 (doi: 10.1007/978-3-031-20872-0_8)
Conference Proceedings
Das, S., Sharma, A. (2024) A Formal Framework of Model and Logical Embeddings for Verification of Stochastic Systems Proceedings of the ACM Symposium on Applied Computing Scopus - Elsevier. ISBN 9798400702433 (doi: 10.1145/3605098.3636032)
(2021) Embeddings between state and action labeled probabilistic systems Proceedings of the 36th Annual ACM Symposium on Applied Computing Susmoy Das. (doi: 10.1145/3412841.3442048)
(2021) State Space Minimization Preserving Embeddings for Continuous-Time Markov Chains Performance Engineering and Stochastic Modeling Susmoy Das. ISBN 9783030918248 ISSN 16113349 03029743 (doi: 10.1007/978-3-030-91825-5_3)
Other
Susmoy Das, Arpit Sharma (2023) Artefact for 'On the Use of Model and Logical Embeddings for Model Checking of Stochastic Systems' Susmoy Das. (doi: 10.5281/ZENODO.8166485)
Susmoy Das, Arpit Sharma (2023) Artefact for 'Probabilistic Model Checking of Temporal Interaction Dynamics in the Supreme Court' Susmoy Das. (doi: 10.5281/ZENODO.8166141)
Susmoy Das, Arpit Sharma (2023) Artefact for 'On the Use of Model and Logical Embeddings for Model Checking of Probabilistic Systems' Susmoy Das. (doi: 10.5281/ZENODO.7813997)
Das, S., Sharma, A. (2023) Probabilistic Model Checking of Temporal Interaction Dynamics in the Supreme Court arXiv Scopus - Elsevier. ISSN 23318422 (doi: 10.48550/arXiv.2311.05177)
Supervision
I look forward to supervising Masters' students or PhD students in collaboration.
- Haokun Xie (MSc - 2025 (UoG))
- Jiahuan Li (MSc - 2025 (UoG))
