| AI Unlocked Workshop | Presented the tutorial “Teaching Code-Generation Courses with GitHub Copilot” at the AI Unlocked Workshop, CU Boulder Research Computing, 2026. Denver, CO |
| CTSC Insight Summit | Served as a panelist on “Can AI-Driven Approaches Improve Poor Health Outcomes in Rural Areas?” at the CTSC Insight Summit: AI and Health Outcomes, CWRU, 2026. Cleveland, OH |
| Kent State University | Gave an invited talk “Engineering Responsible AI: From Fairness to Long-term Impact” at the Robotics and Autonomous Systems (AUTOBOT) Program at the College of Aeronautics and Engineering, Kent State University, 2025. Kent, OH |
| Amazon | Presented my research on “Fairness verification and debugging” at the Automated Reasoning Group in AWS, 2024. New York |
| Oracle Labs | Presented my research on “Mining and analysis of AI-Enabled Software Systems” in the Oracle Labs, 2024. Boston |
| SE4SafeML Workshop | Presented the position paper “Towards Safe ML-based Systems in Presence of Feedback Loops” in the workshop of ESEC/FSE 2023. San Francisco |
| DARPA PI Meeting | Presented “Software Architecture for Unmanned Aerial Vehicles (UAV): Automatic AADL Model Extraction and Reasoning” in the DARPA V-SPELLS PI Meeting, 2023. Virtual |
| ICSE'23 | Presented the technical track paper “Fairify: Fairness Verification of Neural Networks” at the 45th ACM/IEEE ICSE conference, 2023. Melbourne |
| ICSE'23 | Presented the technical track paper “Towards Understanding Fairness and its Composition in Ensemble ML” at the 45th ACM/IEEE ICSE conference, 2023. Melbourne |
| Invited Talk | Invited by Dr. Wallapak Tavanapong to present “Fairness Verification and Sustainability of AI Systems”, 2023. Virtual |
| ICSE'22 | Presented technical track paper “The Art and Practice of Data Science Pipeline” at the 44th ACM/IEEE ICSE conference, 2022. Pittsburgh, PA |
| Invited Talk | Presented “Understanding and Reasoning Fairness of ML-Based Software” at the CREATE SE4AI group (Concordia, Polytechnique Montreal, Queen’s, University of Alberta), February 2022. Virtual |
| NSF PI Meeting | Presented “Modular DNN Verification” in the NSF TRIPODS PI meeting chaired by Dr. Lenore J. Cowen from Tufts University, December 2021. Virtual |
| ESEC/FSE'21 | Presented technical track paper “Fair Preprocessing” at the 29th ACM ESEC/FSE, 2021. Athens, Greece |
| ESEC/FSE'20 | Presented technical track paper “An empirical study on ML Model Fairness” at the 28th ACM ESEC/FSE, 2020. Sacramento, CA |
| TADS Presentation | Presented research on “Fairness of Machine Learning Models” at the Theoretical and Applied Data Science (TADS) Group of D4 Institute, Iowa State University, 2020. Ames, IA |
| MSR'19 | Data showcase and paper presentation “Boa meets python: A boa dataset of data science software in Python language” at MSR 2019, 2019. Montreal, Canada |