Towards Robotically Supported Decommissioning of Nuclear Sites. - Frank Mascarich; Taylor Wilson; Tung Dang; Shehryar Khattak; Christos Papachristos; Kostas Alexis (CoRR, 2017)

Visual Saliency-Aware Receding Horizon Autonomous Exploration with Application to Aerial Robotics. - Tung Dang; Christos Papachristos; Kostas Alexis (ICRA, 2018)

Visual-Inertial Odometry-enhanced Geometrically Stable ICP for Mapping Applications using Aerial Robots. - Tung Dang; Shehryar Khattak; Christos Papachristos; Kostas Alexis (CoRR, 2018)

Modeling, Control, State Estimation and Path Planning Methods for Autonomous Multirotor Aerial Robots. - Christos Papachristos; Tung Dang; Shehryar Khattak; Frank Mascarich; Nikhil Khedekar; Kostas Alexis (Found. Trends Robotics, 2018)

Explore Locally, Plan Globally: A Path Planning Framework for Autonomous Robotic Exploration in Subterranean Environments. - Tung Dang; Shehryar Khattak; Frank Mascarich; Kostas Alexis (ICAR, 2019)

Contact-based Navigation Path Planning for Aerial Robots. - Nikhil Khedekar; Frank Mascarich; Christos Papachristos; Tung Dang; Kostas Alexis (ICRA, 2019)

Graph-based Path Planning for Autonomous Robotic Exploration in Subterranean Environments. - Tung Dang; Frank Mascarich; Shehryar Khattak; Christos Papachristos; Kostas Alexis (IROS, 2019)

Localization uncertainty-aware autonomous exploration and mapping with aerial robots using receding horizon path-planning. - Christos Papachristos; Frank Mascarich; Shehryar Khattak; Tung Dang; Kostas Alexis (Auton. Robots, 2019)

The Reconfigurable Aerial Robotic Chain: Modeling and Control. - Huan Nguyen 003; Tung Dang; Kostas Alexis (ICRA, 2020)

Motion Primitives-based Path Planning for Fast and Agile Exploration using Aerial Robots. - Mihir Dharmadhikari; Tung Dang; Lukas Solanka; Johannes Loje; Huan Nguyen 003; Nikhil Khedekar; Kostas Alexis (ICRA, 2020)

Learning-based Path Planning for Autonomous Exploration of Subterranean Environments. - Russell Reinhart; Tung Dang; Emily M. Hand; Christos Papachristos; Kostas Alexis (ICRA, 2020)

Collision-tolerant Autonomous Navigation through Manhole-sized Confined Environments. - Paolo De Petris; Huan Nguyen 003; Tung Dang; Frank Mascarich; Kostas Alexis (SSRR, 2020)

Autonomous Aerial Robotic Surveying and Mapping with Application to Construction Operations. - Huan Nguyen 003; Frank Mascarich; Tung Dang; Kostas Alexis (CoRR, 2020)

Appendix for the Motion Primitives-based Path Planning for Fast and Agile Exploration Method. - Mihir Dharmadhikari; Tung Dang; Kostas Alexis (CoRR, 2020)

Graph-based subterranean exploration path planning using aerial and legged robots. - Tung Dang; Marco Tranzatto; Shehryar Khattak; Frank Mascarich; Kostas Alexis; Marco Hutter 001 (J. Field Robotics, 2020)

Hypergame-based Adaptive Behavior Path Planning for Combined Exploration and Visual Search. - Mihir Dharmadhikari; Harshal Deshpande; Tung Dang; Kostas Alexis (ICRA, 2021)

SymForce: Symbolic Computation and Code Generation for Robotics. - Hayk Martiros; Aaron Miller; Nathan Bucki; Bradley Solliday; Ryan Kennedy; Jack Zhu; Tung Dang; Dominic Pattison; Harrison Zheng; Teo Tomic; Peter Henry; Gareth Cross; et al. (Robotics: Science and Systems, 2022)

CERBERUS: Autonomous Legged and Aerial Robotic Exploration in the Tunnel and Urban Circuits of the DARPA Subterranean Challenge. - Marco Tranzatto; Frank Mascarich; Lukas Bernreiter; Carolina Godinho; Marco Camurri; Shehryar Khattak; Tung Dang; Victor Reijgwart; Johannes Loeje; David Wisth; Samuel Zimmermann; Huan Nguyen 003; et al. (Field Robotics, 2022)

Decoding time-course of saliency network of fMRI signals by EEG signals using optimized forward variable selection: a concurrent EEG-fMRI study. - Tung Dang; Kentaro Ono; Takafumi Sasaoka; Shigeto Yamawaki; Maro G. Machizawa (APSIPA ASC, 2023)

oFVSD: a Python package of optimized forward variable selection decoder for high-dimensional neuroimaging data. - Tung Dang; Alan S. R. Fermin; Maro G. Machizawa (Frontiers Neuroinformatics, 2023)

Team CERBERUS Wins the DARPA Subterranean Challenge: Technical Overview and Lessons Learned. - Marco Tranzatto; Mihir Dharmadhikari; Lukas Bernreiter; Marco Camurri; Shehryar Khattak; Frank Mascarich; Patrick Pfreundschuh; David Wisth; Samuel Zimmermann; Mihir Kulkarni; Victor Reijgwart; Benoit Casseau; et al. (Field Robotics, 2024)

I-SVVS: integrative stochastic variational variable selection to explore joint patterns of multi-omics microbiome data. - Tung Dang; Yushiro Fuji; Kie Kumaishi; Erika Usui; Shungo Kobori; Takumi Sato; Megumi Narukawa; Yusuke Toda; Kengo Sakurai; Yuji Yamasaki; Hisashi Tsujimoto; Masami Yokota Hirai; et al. (Briefings Bioinform., 2025)

VBayesMM: variational Bayesian neural network to prioritize important relationships of high-dimensional microbiome multiomics data. - Tung Dang; Artem Lysenko; Keith A. Boroevich; Tatsuhiko Tsunoda (Briefings Bioinform., 2025)