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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 |
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Amazon |
Presented my research on “Fairness verification and debugging” at the Automated Reasoning Group in AWS, 2024. New York |
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Oracle Labs |
Presented my research on “Mining and analysis of AI-Enabled Software Systems” in the Oracle Labs, 2024. Boston |
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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 |
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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 |
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ICSE'23 |
Presented the technical track paper “Fairify: Fairness Verification of Neural Networks” at the 45th ACM/IEEE ICSE conference, 2023. Melbourne |
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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 |
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Invited Talk |
Invited by Dr. Wallapak Tavanapong to present “Fairness Verification and Sustainability of AI Systems”, 2023. Virtual |
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ICSE'22 |
Presented technical track paper “The Art and Practice of Data Science Pipeline” at the 44th ACM/IEEE ICSE conference, 2022. Pittsburgh, PA |
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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 |
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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 |
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ESEC/FSE'21 |
Presented technical track paper “Fair Preprocessing” at the 29th ACM ESEC/FSE, 2021. Athens, Greece |
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ESEC/FSE'20 |
Presented technical track paper “An empirical study on ML Model Fairness” at the 28th ACM ESEC/FSE, 2020. Sacramento, CA |
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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 |
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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 |