Space-Time Coverage Scenarios for A Global Snow Satellite Constellation. - Edward Kim 001; Barton A. Forman; Lizhao Wang; Jacqueline LeMoigne-Stewart; Sreeja Nag; Sujay Kumar; Carrie M. Vuyovich; J. Bryan Blair; Michelle A. Hofton (IGARSS, 2019)

Evaluation of Seasonal Water Budget Components Over the Major Drainage Basins of North America Using an Ensemble-Based Land Surface Model Approach. - Carrie M. Vuyovich; Edward Kim 001; Sujay Kumar; Lawrence Mudryk; Rhae Sung Kim; Jessica D. Lundquist; Michael Durand; Chris Derksen; Ana P. Barros; Paul R. Houser (IGARSS, 2019)

Feasibility of Estimating Snow Emissivity Via Assimilation of Multifrequency Passive Microwave Data. - Sayed M. Bateni; Mahdi Navari; Sujay Kumar; Essam Heggy (IGARSS, 2021)

ESPnet-SLU: Advancing Spoken Language Understanding Through ESPnet. - Siddhant Arora; Siddharth Dalmia; Pavel Denisov; Xuankai Chang; Yushi Ueda; Yifan Peng 003; Yuekai Zhang; Sujay Kumar; Karthik Ganesan 003; Brian Yan; Ngoc Thang Vu; Alan W. Black; et al. (ICASSP, 2022)

Smap Soil Moisture Assimilation to Enhance Streamflow Estimates Across South Asia. - Jawairia Ahmad; Barton A. Forman; Augusto Getirana; Sujay Kumar (IGARSS, 2022)

Real-Time Applications of the Nasa Earth Science "New Observing Strategy". - Michael Seablom; Jacqueline Le Moigne; Sujay Kumar; Barton A. Forman; Paul T. Grogan (IGARSS, 2022)

Demonstrating a New Flood Observing Strategy on the NOS Testbed. - Ben Smith; Sujay Kumar; Louis Nguyen; Thad Chee; James Mason; Steve A. Chien; Chad Frost; Ruzbeh Akbar; Mahta Moghaddam; Augusto Getirana; Leigha Capra; Paul T. Grogan (IGARSS, 2022)

A Study on the Integration of Pre-Trained SSL, ASR, LM and SLU Models for Spoken Language Understanding. - Yifan Peng 003; Siddhant Arora; Yosuke Higuchi; Yushi Ueda; Sujay Kumar; Karthik Ganesan 003; Siddharth Dalmia; Xuankai Chang; Shinji Watanabe 001 (SLT, 2022)

An analysis of implementation of convolutional neural networks to make an accident detection model. - Vijayshri Khedkar; Ashwini Jatti; Sujay Kumar; Vrushti Shah; Vedanshi Sahu (IC3, 2023)