Sarmad Bashir, Doctoral student, Industrial Doctoral Student
Sarmad Bashir, an Industrial PhD student at RISE, Västerås, holds a Master's degree in Information Technology from NUST, specializing in language models for text generation. Formerly a Senior Machine Learning Engineer, he applied data-driven solutions to diverse business issues. His current research at RISE focuses on Requirements Engineering and Software Quality Assurance, employing Artificial Intelligence and Machine Learning.
Community service (Other)
- Publicity chair ITEQS 2023 co-located with ICST
Requirements Ambiguity Detection and Explanation with LLMs: An Industrial Study (Sep 2025) Sarmad Bashir, Alessio Ferrari , Muhammad Abbas Khan, Per Erik Strandberg, Zulqarnain Haider, Mehrdad Saadatmand, Markus Bohlin 41st International Conference on Software Maintenance and Evolution (ICSME 2025)
ReqRAG: Enhancing Software Release Management through Retrieval-Augmented LLMs: An Industrial Study (Apr 2025) Md Saleh Ibtasham , Sarmad Bashir, Muhammad Abbas Khan, Zulqarnain Haider, Mehrdad Saadatmand, Antonio Cicchetti Requirements Engineering: Foundation for Software Quality (REFSQ 2025)
Requirements Similarity and Retrieval (Mar 2025) Muhammad Abbas Khan, Sarmad Bashir, Mehrdad Saadatmand, Eduard Paul Enoiu, Daniel Sundmark Handbook on Natural Language Processing for Requirements Engineering (HNLPRE)
Towards AI-centric Requirements Engineering for Industrial Systems (Apr 2024) Sarmad Bashir 46th International Conference on Software Engineering: Companion Proceedings (ICSE'24)
Requirements Classification for Smart Allocation: A Case Study in the Railway Industry (Sep 2023) Sarmad Bashir, Muhammad Abbas Khan, Alessio Ferrari , Mehrdad Saadatmand, Pernilla Lindberg 2023 IEEE 31st International Requirements Engineering Conference (RE'23)
Requirement or Not, That is the Question: A Case from the Railway Industry (Apr 2023) Sarmad Bashir, Muhammad Abbas Khan, Mehrdad Saadatmand, Eduard Paul Enoiu, Markus Bohlin, Pernilla Lindberg Requirements Engineering: Foundation for Software Quality (REFSQ 2023)