Seyed Morteza Mirbostani

Seyed Morteza Mirbostani

Full Stack Engineer & NLP/CL Researcher

Rasht, Iran

Hello World;

My name is Seyed Morteza Mirbostani‒a self-motivated software engineer and dedicated researcher. My background is firmly rooted in applying computational methods to complex problems and create efficient solutions within the domains of natural language processing (NLP) and computational linguistics (CL).

Throughout my career, I have built a strong foundation in software development, specializing in creating scalable web and mobile applications. Combining these skills has enabled me to create AI-powered solutions that harness the synergy of technology and linguistics, unlocking new possibilities for enhanced language understanding.


  • Yasaman Boreshban, Seyed Morteza Mirbostani, Seyedeh Fatemeh Ahmadi, Gita Shojaee, Fatemeh Kamani, Gholamreza Ghassem-Sani, and Seyed Abolghasem Mirroshandel (2023). RobustQA: A Framework for Adversarial Text Generation Analysis on Question Answering Systems. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP’23 demo), Singapore. (Accepted)
  • Seyed Morteza Mirbostani, Yasaman Boreshban, Salam Khalifa, Seyed Abolghasem Mirroshandel, and Owen Rambow (2023). Deep active learning for morphophonological processing. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL’23), Volume 2, Pages 793–803, Toronto, Canada.
  • Yasaman Boreshban, Seyed Morteza Mirbostani, Gholamreza Ghassem-Sani, Seyed Abolghasem Mirroshandel, and Shahin Amiriparian (2023). Improving question answering performance using knowledge distillation and active learning. Engineering Applications of Artificial Intelligence (EAAI), Volume 123, Part A.