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I am a PhD student at Binghamton University studying robotics and AI in the AIR research group advised by Shiqi Zhang.
Publications
Publications
Learning Quadruped Locomotion Policies using Logical Rules
David DeFazio, Yohei Hayamizu, and Shiqi Zhang
International Conference on Automated Planning and Scheduling (ICAPS), 2024
Seeing-Eye Quadruped Navigation with Force Responsive Locomotion Control
David DeFazio, Eisuke Hirota, and Shiqi Zhang
Conference on Robot Learning (CoRL), 2023
Goal-oriented Vision-and-Dialog Navigation via Reinforcement Learning
Yan Cao, Keting Lu, David DeFazio, and Shiqi Zhang
Findings of the Association for Computational Linguistics: EMNLP 2022
Relex: A model-agnostic relational model explainer
Yue Zhang, David DeFazio, and Arti Ramesh
AAAI Conference on AI, Ethics, and Society (AIES), 2021
Adversarial Model Extraction on Graph Neural Networks
David DeFazio and Arti Ramesh
AAAI Workshop on Deep Learning on Graphs: Methodologies and Applications (DLGMA), 2020
Deep Latent Generative Models for Energy Disaggregation
Gissella Bejarano, David DeFazio, and Arti Ramesh
AAAI Conference on Artificial Intelligence, 2019.
NYCER: A Non-Emergency Response Predictor for NYC using Sparse Gaussian Conditional Random Fields
David DeFazio, Arti Ramesh, and Anand Seetharam
International Conference on Mobile and Ubiquitous Systems (MobiQuitous), 2018
Internships
Internships
Pacific Northwest National Laboratory (2022 - 2023)
Pacific Northwest National Laboratory (2022 - 2023)
Developed autonomous navigation capabilities for a surface vessel using ROS 2 navigation stack.
Trained deep learning models to identify chemicals from ion mass spectrometry data.
Air Force Research Laboratory (2020)
Air Force Research Laboratory (2020)
Explored connection between meta-learners and neural network generalization.
Designed and ran experiments measuring mutual information between data and parameter distributions in the context of training neural networks.
Professional Activities
Professional Activities
Program Committee Member
Program Committee Member
AAAI Conference on Artificial Intelligence, 2024
IJCAI International Joint Conference on Artificial Intelligence, 2024
Reviewer
Reviewer
IEEE Robotics and Automation Letters (RA-L), 2023 - 2024
European Conference on Artificial Intelligence (ECAI), 2024
IROS International Conference on Intelligent Robots and Systems, 2024
Teaching
Teaching
Instructor
Instructor
Automata Theory, Fall 2023
Teaching Assistant
Teaching Assistant
Automata Theory, Spring 2020 - Spring 2024
Programming with Objects and Data Structures, Fall 2019
Programming and Hardware Fundamentals, Spring 2019
Architecture from a Programming Perspective, Fall 2018
Contact
Contact
Email: davedefazio1@gmail.com
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