JacquardToolkit: enabling interactions with the Levi's Jacquard jacket. - Aayush Kumar; Caleb Rudnicki; Rhea Chatterjee; Kenzy Mina; Obinna Onyeije; Thad Starner (UbiComp, 2019)

JacquardToolkit: enabling and exploring interactions with the Levi's jacquard jacket. - Aayush Kumar; Caleb Rudnicki; Rhea Chatterjee; Kenzy Mina; Obinna Onyeije; Thad Starner (UbiComp/ISWC Adjunct, 2019)

EFI: A Toolbox for Feature Importance Fusion and Interpretation in Python. - Aayush Kumar; Jimiama Mafeni Mase; Divish Rengasamy; Benjamin Rothwell; Mercedes Torres Torres; David A. Winkler; Grazziela P. Figueredo (LOD (2), 2022)

MOSQUITO-NET: A deep learning based CADx system for malaria diagnosis along with model interpretation using GradCam and class activation maps. - Aayush Kumar; Sanat B. Singh; Suresh Chandra Satapathy; Minakhi Rout (Expert Syst. J. Knowl. Eng., 2022)

Feature importance in machine learning models: A fuzzy information fusion approach. - Divish Rengasamy; Jimiama Mafeni Mase; Aayush Kumar; Benjamin Rothwell; Mercedes Torres Torres; Morgan R. Alexander; David A. Winkler; Grazziela P. Figueredo (Neurocomputing, 2022)

SARS-Net: COVID-19 detection from chest x-rays by combining graph convolutional network and convolutional neural network. - Aayush Kumar; Ayush R. Tripathi; Suresh Chandra Satapathy; Yu-Dong Zhang 001 (Pattern Recognit., 2022)

Towards Characterizing Trust in Generative Artificial Intelligence among Students. - Matin Amoozadeh; David Daniels; Stella Chen; Daye Nam; Aayush Kumar; Michael Hilton; Mohammad Amin Alipour; Sruti Srinivasa Ragavan (ICER (2), 2023)

End-User Programming is WEIRD: How, Why and What to Do About It. - Harshit Goel; Aayush Kumar; Sruti Srinivasa Ragavan (VL/HCC, 2023)

Poster: End-User Programming is WEIRD. - Harshit Goel; Aayush Kumar; Sruti Srinivasa Ragavan (VL/HCC, 2023)

Evaluation of the Effectiveness of Traditional Training vs. Immersive Training - A Case Study of Building Safety and Emergency Training. - Ming Tang; Mikhail Nikolaenko; Evv Boerwinkle; Samuel Obafisoye; Aayush Kumar; Mohsen Rezayat; Sven Lehmann; Tamara Lorenz (XR (4), 2024)

Trust in Generative AI among Students: An exploratory study. - Matin Amoozadeh; David Daniels; Daye Nam; Aayush Kumar; Stella Chen; Michael Hilton; Sruti Srinivasa Ragavan; Mohammad Amin Alipour (SIGCSE (1), 2024)

Evaluating the impact of eccentric loading on strip footing above horseshoe tunnels in rock mass using adaptive finite element limit analysis and machine learning. - Aayush Kumar; Vinay Bhushan Chauhan (Earth Sci. Informatics, 2024)

Web vs. LLMs: An Empirical Study of Learning Behaviors of CS2 Students. - Aayush Kumar; Daniel Prol; Amin Alipour; Sruti Srinivasa Ragavan (CoRR, 2025)

TableTalk: Scaffolding Spreadsheet Development with a Language Agent. - Jenny T. Liang; Aayush Kumar; Yasharth Bajpai; Sumit Gulwani; Vu Le 002; Chris Parnin; Arjun Radhakrishna; Ashish Tiwari 001; Emerson R. Murphy-Hill; Gustavo Soares (CoRR, 2025)

Sharp Tools: How Developers Wield Agentic AI in Real Software Engineering Tasks. - Aayush Kumar; Yasharth Bajpai; Sumit Gulwani; Gustavo Soares; Emerson R. Murphy-Hill (CoRR, 2025)

TEN: Table Explicitization, Neurosymbolically. - Nikita Mehrotra; Aayush Kumar; Sumit Gulwani; Arjun Radhakrishna; Ashish Tiwari 001 (CoRR, 2025)