Анализ страницы https://sumonbis.github.io/talks/

All Talks | Sumon Biswas

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

https://sumonbis.github.io/talks/

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