| 2023 | ICSOC | Adapting LLMs for Efficient, Personalized Information Retrieval: Methods and Implications. | Samira Ghodratnama, Mehrdad Zakershahrak |
| 2023 | ICSOC | Breaking Boundaries: Can a Unified Hardware Abstraction Layer Simplify Transformer Deployments on Edge Devices? | Mehrdad Zakershahrak, Samira Ghodratnama |
| 2023 | ICWS | A Personalized Reinforcement Learning Summarization Service for Learning Structure from Unstructured Data. | Samira Ghodratnama, Amin Beheshti, Mehrdad Zakershahrak |
| 2021 | IJCNN | Summary2vec: Learning Semantic Representation of Summaries for Healthcare Analytics. | Samira Ghodratnama, Mehrdad Zakershahrak, Amin Beheshti |
| 2021 | ICRA | Order Matters: Generating Progressive Explanations for Planning Tasks in Human-Robot Teaming. | Mehrdad Zakershahrak, Shashank Rao Marpally, Akshay Sharma, Ze Gong, Yu Zhang |
| 2020 | IROS | Online Explanation Generation for Planning Tasks in Human-Robot Teaming. | Mehrdad Zakershahrak, Ze Gong, Nikhillesh Sadassivam, Yu Zhang |
| 2020 | ICSOC | Adaptive Summaries: A Personalized Concept-Based Summarization Approach by Learning from Users' Feedback. | Samira Ghodratnama, Mehrdad Zakershahrak, Fariborz Sobhanmanesh |
| 2020 | ICSOC | Am I Rare? an Intelligent Summarization Approach for Identifying Hidden Anomalies. | Samira Ghodratnama, Mehrdad Zakershahrak, Fariborz Sobhanmanesh |
| 2018 | RO-MAN | Interactive Plan Explicability in Human-Robot Teaming. | Mehrdad Zakershahrak, Akshay Sonawane, Ze Gong, Yu Zhang |