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)

Medical Knowledge-enriched Textual Entailment Framework. - Shweta Yadav 001; Vishal Pallagani; Amit P. Sheth (COLING, 2020)

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)

Epistemic Planning in a Fast and Slow Setting. - Francesco Fabiano; Marianna Bergamaschi Ganapini; Lior Horesh; Andrea Loreggia; Keerthiram Murugesan; Vishal Pallagani; Francesca Rossi 001; Biplav Srivastava (TFSOCTAI@AAAI Fall Symposium, 2021)

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)

Plansformer: Generating Symbolic Plans using Transformers. - Vishal Pallagani; Bharath Muppasani; Keerthiram Murugesan; Francesca Rossi 001; Lior Horesh; Biplav Srivastava; Francesco Fabiano; Andrea Loreggia (CoRR, 2022)

Value-based Fast and Slow AI Nudging. - Marianna Bergamaschi Ganapini; Francesco Fabiano; Lior Horesh; Andrea Loreggia; Nicholas Mattei; Keerthiram Murugesan; Vishal Pallagani; Francesca Rossi 001; Biplav Srivastava; Kristen Brent Venable (ETHAICS@IJCAI, 2023)

LLMs for Financial Advisement: A Fairness and Efficacy Study in Personal Decision Making. - Kausik Lakkaraju; Sara E. Jones; Sai Krishna Revanth Vuruma; Vishal Pallagani; Bharath C. Muppasani; Biplav Srivastava (ICAIF, 2023)

Plansformer Tool: Demonstrating Generation of Symbolic Plans Using Transformers. - Vishal Pallagani; Bharath Muppasani; Biplav Srivastava; Francesca Rossi 001; Lior Horesh; Keerthiram Murugesan; Andrea Loreggia; Francesco Fabiano; Rony Joseph; Yathin Kethepalli (IJCAI, 2023)

Building and Using a Planning Ontology from Past Data for Performance Efficiency. - Bharath Muppasani; Vishal Pallagani; Biplav Srivastava; Raghava Mutharaju (PLATO@ICAPS, 2023)

Fast and Slow Planning. - Francesco Fabiano; Vishal Pallagani; Marianna Bergamaschi Ganapini; Lior Horesh; Andrea Loreggia; Keerthiram Murugesan; Francesca Rossi 001; Biplav Srivastava (CoRR, 2023)

Understanding the Capabilities of Large Language Models for Automated Planning. - Vishal Pallagani; Bharath Muppasani; Keerthiram Murugesan; Francesca Rossi 001; Biplav Srivastava; Lior Horesh; Francesco Fabiano; Andrea Loreggia (CoRR, 2023)

Can LLMs be Good Financial Advisors?: An Initial Study in Personal Decision Making for Optimized Outcomes. - Kausik Lakkaraju; Sai Krishna Revanth Vuruma; Vishal Pallagani; Bharath Muppasani; Biplav Srivastava (CoRR, 2023)

A Planning Ontology to Represent and Exploit Planning Knowledge for Performance Efficiency. - Bharath Muppasani; Vishal Pallagani; Biplav Srivastava; Raghava Mutharaju; Michael N. Huhns; Vignesh Narayanan (CoRR, 2023)

On Solving the Rubik's Cube with Domain-Independent Planners Using Standard Representations. - Bharath Muppasani; Vishal Pallagani; Biplav Srivastava; Forest Agostinelli (CoRR, 2023)

On safe and usable chatbots for promoting voter participation. - Bharath Muppasani; Vishal Pallagani; Kausik Lakkaraju; Shuge Lei; Biplav Srivastava; Brett W. Robertson; Andrea Hickerson; Vignesh Narayanan (AI Mag., 2023)

On the Prospects of Incorporating Large Language Models (LLMs) in Automated Planning and Scheduling (APS). - Vishal Pallagani; Bharath C. Muppasani; Kaushik Roy 009; Francesco Fabiano; Andrea Loreggia; Keerthiram Murugesan; Biplav Srivastava; Francesca Rossi 001; Lior Horesh; Amit P. Sheth (ICAPS, 2024)

The Case for Developing a Foundation Model for Planning-like Tasks from Scratch. - Biplav Srivastava; Vishal Pallagani (CoRR, 2024)

PLANTS: A Novel Problem and Dataset for Summarization of Planning-Like (PL) Tasks. - Vishal Pallagani; Biplav Srivastava; Nitin Gupta (CoRR, 2024)

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

Neurosymbolic AI for Enhancing Instructability in Generative AI. - Amit P. Sheth; Vishal Pallagani; Kaushik Roy 009 (IEEE Intell. Syst., 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)

FABLE: A Novel Data-Flow Analysis Benchmark on Procedural Text for Large Language Model Evaluation. - Vishal Pallagani; Nitin Gupta; John Aydin; Biplav Srivastava (CoRR, 2025)

Thinking Fast and Slow in Human and Machine Intelligence. - Francesco Fabiano; Marianna Bergamaschi Ganapini; Andrea Loreggia; Nicholas Mattei; Keerthiram Murugesan; Vishal Pallagani; Francesca Rossi 001; Biplav Srivastava; Kristen Brent Venable (Commun. ACM, 2025)