Fearless Steps: Apollo-11 Corpus Advancements for Speech Technologies from Earth to the Moon. - John H. L. Hansen; Abhijeet Sangwan; Aditya Joglekar; Ahmet Emin Bulut; Lakshmish Kaushik; Chengzhu Yu (INTERSPEECH, 2018)

Deep Transformation Method for Discriminant Analysis of Multi-Channel Resting State fMRI. - Abhay M. S. Aradhya; Aditya Joglekar; Suresh Sundaram 002; Mahardhika Pratama (AAAI, 2019)

The 2019 Inaugural Fearless Steps Challenge: A Giant Leap for Naturalistic Audio. - John H. L. Hansen; Aditya Joglekar; Meena Chandra Shekhar; Vinay Kothapally; Chengzhu Yu; Lakshmish Kaushik; Abhijeet Sangwan (INTERSPEECH, 2019)

FEARLESS STEPS Challenge (FS-2): Supervised Learning with Massive Naturalistic Apollo Data. - Aditya Joglekar; John H. L. Hansen; Meena Chandra Shekhar; Abhijeet Sangwan (INTERSPEECH, 2020)

Is Q-Learning Provably Efficient? An Extended Analysis. - Kushagra Rastogi; Jonathan Lee; Fabrice Harel-Canada; Aditya Joglekar (CoRR, 2020)

Fearless Steps Challenge Phase-3 (FSC P3): Advancing SLT for Unseen Channel and Mission Data Across NASA Apollo Audio. - Aditya Joglekar; Seyed Omid Sadjadi; Meena Chandra Shekar; Christopher Cieri; John H. L. Hansen (Interspeech, 2021)

Concurrent build direction, part segmentation, and topology optimization for additive manufacturing using neural networks. - Hongrui Chen; Aditya Joglekar; Kate S. Whitefoot; Levent Burak Kara (CoRR, 2022)

Fearless Steps Challenge Phase-1 Evaluation Plan. - Aditya Joglekar; John H. L. Hansen (CoRR, 2022)

Topology Optimization using Neural Networks with Conditioning Field Initialization for Improved Efficiency. - Hongrui Chen; Aditya Joglekar; Levent Burak Kara (CoRR, 2023)

DeepComboSAD: Spectro-Temporal Correlation Based Speech Activity Detection for Naturalistic Audio Streams. - Aditya Joglekar; John H. L. Hansen (IEEE Signal Process. Lett., 2023)

Fearless Steps Apollo: Team Communications Based Community Resource Development for Science, Technology, Education, and Historical Preservation. - John H. L. Hansen; Aditya Joglekar; Meena M. Chandra Shekar; Szu-Jui Chen; Xi Liu (ICASSP, 2024)

Generative Manufacturing: A requirements and resource-driven approach to part making. - Hongrui Chen; Aditya Joglekar; Zack Rubinstein; Bradley R. Schmerl; Gary Fedder; Jan de Nijs; David Garlan; Stephen Smith; Levent Burak Kara (CoRR, 2024)

DMF-TONN: Direct Mesh-free Topology Optimization using Neural Networks. - Aditya Joglekar; Hongrui Chen; Levent Burak Kara (Eng. Comput., 2024)