About
Dhasarathy Parthasarathy is a researcher at Chalmers University of Technology, Department of Computer Science and Engineering. His work focuses on applying deep learning techniques to automotive software development and testing. Key contributions include developing generative models for credible simulation environments and novel sampling algorithms like MLERP.
- PhD in Automotive Software Engineering (2023)
- Licentiate thesis on Deep Learning Simulations (2022)
Research interests span:
- Deep learning for automotive systems
- GAN-based test stimulus generation
- Latent space manipulation
- Design compliance verification
- Sample selection bias mitigation
His 15 most recent publications (2020-2025) focus on automotive software testing using:
- Generative adversarial networks
- Neural language models
- Explainable AI techniques
- Time-series simulation
Current projects include AutoLang (2024-2026) adapting large language models for automotive software engineering, with industry partners including Volvo Group.
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