Hossein Hosseini
Ph.D. Candidate in Computer Science | The University of Melbourne
Melbourne, Australia
hossein.hosseini@student.unimelb.edu.au
I am a Ph.D. Candidate in Computer Science at The University of Melbourne, working under the supervision of A/Prof. Adel N. Toosi and Prof. Chris Leckie. My research focuses on cost-efficient inference for large language models, exploring scalable deployment strategies, latency-reliability trade-offs, and introspective models that can self-evaluate their output quality.
My research interests include:
- Large Language Models and efficient inference
- LLM routing and model selection
- Self-evaluating and introspective language models
- Model compression and adaptation (e.g., LoRA)
- Systems for Machine Learning
- Cyber-Physical Systems and real-time embedded systems
I hold an M.Sc. in Computer Engineering from Sharif University of Technology (GPA: 19.41/20.0) and a B.Sc. in Computer Engineering from the same institution (GPA: 16.32/20.0). Before pursuing my Ph.D., I conducted research on dynamic task replication in cyber-physical systems, which resulted in a publication in IEEE Transactions on Emerging Topics in Computing.
Feel free to explore my publications and CV for more details.
selected publications
- ACLIntroLM: Introspective Language Models via Prefilling-Time Self-Evaluation64th Annual Meeting of the Association for Computational Linguistics (Under Review), 2026