Jyotirmaya Ijaradar MSc.
© VPA
Research associate
NameJyotirmaya Ijaradar M.Sc.
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Chair of Traffic Process Automation
Chair of Traffic Process Automation
Visiting address:
Gerhart-Potthoff-Bau, Raum POT 67 Hettnerstraße 3
01069 Dresden
- Machine Learning for Traffic Big Data Analysis
- Data-driven Approach for Traffic Optimization
- Development of AI-centric methods for autonomous mobility systems
- Advanced Driving Assistant System (ADAS)
Supervision of student theses
Publications
2025
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Data-Driven Anomaly Detection in Urban Traffic Data: A Deep Learning Approach, 8 Sep 2025, 2025 9th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS). p. 1-6Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
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Local differences in feature importance for the prediction of PM10, O3 and NOx using Dresden as example, 4 May 2025, 28th AGILE Conference on Geographic Information Science - Poster Track, Dresden, Germany. 4 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
2024
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A Survey on Multivariate Time Series Imputation using Adversarial Learning, 3 Oct 2024, In: IEEE access. 12 (2024), p. 148167 - 148189, 23 p.Electronic (full-text) versionResearch output: Contribution to journal > Research article
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An Imputation-Enhanced Hybrid Deep Learning Approach for Traffic Volume Prediction in Urban Networks: A Case Study in Dresden, 13 Sep 2024, In: Data Science for Transportation. 6 (2024), 3, 16 p., 22Electronic (full-text) versionResearch output: Contribution to journal > Research article
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Unlocking the Potential of Lignin: Towards a Sustainable Solution for Tire Rubber Compound Reinforcement, 27 Jul 2024, In: Journal of cleaner production. 470 (2024), 14 p., 143274Electronic (full-text) versionResearch output: Contribution to journal > Research article
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Iterative Imputation of Incomplete Wireless Network Traffic using Adversarial Learning and a Two-Stage Approach, 3 May 2024, 2024 3rd International Conference on Artificial Intelligence for Internet of Things, AIIoT 2024Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution