IoT based smart home automation system using sensor node. - Himanshu Singh; Vishal Pallagani; Vedant Khandelwal; U. Venkanna 001 (RAIT, 2018)

dCrop: A Deep-Learning Based Framework for Accurate Prediction of Diseases of Crops in Smart Agriculture. - Vishal Pallagani; Vedant Khandelwal; Bharath Chandra; Venkanna Udutalapally; Debanjan Das; Saraju P. Mohanty (iSES, 2019)

sCrop: A Internet-of-Agro-Things (IoAT) Enabled Solar Powered Smart Device for Automatic Plant Disease Prediction. - Venkanna Udutalapally; Saraju P. Mohanty; Vishal Pallagani; Vedant Khandelwal (CoRR, 2020)

"Is depression related to cannabis?": A knowledge-infused model for Entity and Relation Extraction with Limited Supervision. - Kaushik Roy 009; Usha Lokala; Vedant Khandelwal; Amit P. Sheth (AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering, 2021)

Designing Children's New Learning Partner: Collaborative Artificial Intelligence for Learning to Solve the Rubik's Cube. - Forest Agostinelli; Mihir Mavalankar; Vedant Khandelwal; Hengtao Tang; Dezhi Wu; Barnett Berry; Biplav Srivastava; Amit P. Sheth; Matthew Irvin (IDC, 2021)

ALLURE: A Multi-Modal Guided Environment for Helping Children Learn to Solve a Rubik's Cube with Automatic Solving and Interactive Explanations. - Kausik Lakkaraju; Thahimum Hassan; Vedant Khandelwal; Prathamjeet Singh; Cassidy Bradley; Ronak Shah; Forest Agostinelli; Biplav Srivastava; Dezhi Wu (AAAI, 2022)

A Rich Recipe Representation as Plan to Support Expressive Multi Modal Queries on Recipe Content and Preparation Process. - Vishal Pallagani; Priyadharsini Ramamurthy; Vedant Khandelwal; Revathy Venkataramanan; Kausik Lakkaraju; Sathyanarayanan N. Aakur; Biplav Srivastava (CoRR, 2022)

Process Knowledge-Infused AI: Towards User-level Explainability, Interpretability, and Safety. - Amit P. Sheth; Manas Gaur; Kaushik Roy 009; Revathy Venkataramanan; Vedant Khandelwal (CoRR, 2022)

Process Knowledge-Infused AI: Toward User-Level Explainability, Interpretability, and Safety. - Amit P. Sheth; Manas Gaur; Kaushik Roy 009; Revathy Venkataramanan; Vedant Khandelwal (IEEE Internet Comput., 2022)

Demo Alleviate: Demonstrating Artificial Intelligence Enabled Virtual Assistance for Telehealth: The Mental Health Case. - Kaushik Roy 009; Vedant Khandelwal; Raxit Goswami; Nathan Dolbir; Jinendra Malekar; Amit P. Sheth (AAAI, 2023)

GEAR-Up: Generative AI and External Knowledge-Based Retrieval: Upgrading Scholarly Article Searches for Systematic Reviews. - Kaushik Roy 009; Vedant Khandelwal; Valerie Vera; Harshul Surana; Heather Heckman; Amit P. Sheth (AAAI, 2024)

A Domain-Agnostic Neurosymbolic Approach for Big Social Data Analysis: Evaluating Mental Health Sentiment on Social Media during COVID-19. - Vedant Khandelwal; Manas Gaur; Ugur Kursuncu; Valerie L. Shalin; Amit P. Sheth (IEEE Big Data, 2024)

Specifying Goals to Deep Neural Networks with Answer Set Programming. - Forest Agostinelli; Rojina Panta; Vedant Khandelwal (ICAPS, 2024)

Trust and ethical considerations in a multi-modal, explainable AI-driven chatbot tutoring system: The case of collaboratively solving Rubik's Cube. - Kausik Lakkaraju; Vedant Khandelwal; Biplav Srivastava; Forest Agostinelli; Hengtao Tang; Prathamjeet Singh; Dezhi Wu; Matthew Irvin; Ashish Kundu (CoRR, 2024)

Towards Learning Foundation Models for Heuristic Functions to Solve Pathfinding Problems. - Vedant Khandelwal; Amit P. Sheth; Forest Agostinelli (CoRR, 2024)

PDDLFuse: A Tool for Generating Diverse Planning Domains. - Vedant Khandelwal; Amit P. Sheth; Forest Agostinelli (CoRR, 2024)

A Neurosymbolic Fast and Slow Architecture for Graph Coloring. - Vedant Khandelwal; Vishal Pallagani; Biplav Srivastava; Francesca Rossi 001 (CoRR, 2024)

NeuroSymbolic Knowledge-Grounded Planning and Reasoning in Artificial Intelligence Systems. - Amit P. Sheth; Vedant Khandelwal; Kaushik Roy 009; Vishal Pallagani; Megha Chakraborty (IEEE Intell. Syst., 2025)

NeuroLit Navigator: A Neurosymbolic Approach to Scholarly Article Searches for Systematic Reviews. - Vedant Khandelwal; Kaushik Roy 009; Valerie Lookingbill; Ritvik Garimella; Harshul Surana; Heather Heckman; Amit P. Sheth (CoRR, 2025)