Publications

A comprehensive list of my research publications, covering topics in Automated Planning, Opinion Dynamics, Multi-Agent Systems, and Large Language Models.

2026

OMEGA: An Ontology-Driven Tool for Explaining Multi-Agent Path Finding

Bharath Muppasani, Ritirupa Dey, Biplav Srivastava, Vignesh Narayanan

AAAI 2026 Demo Ontology MAPF
2025

Scalable Multi-Agent Path Finding using Collision-Aware Dynamic Alert Mask and a Hybrid Execution Strategy

Bharath Muppasani, Ritirupa Dey, Biplav Srivastava, Vignesh Narayanan

arXiv 2025 MAPF RL
2025

On Generalized Planning for Controlling Opinion Networks: Interpreting Human-AI Dialog States and Beliefs

Bharath Muppasani, Protik Nag, Biplav Srivastava, Vignesh Narayanan

GenPlan Workshop @ AAAI 2025 Opinion Dynamics
2024

Towards Effective Planning Strategies for Dynamic Opinion Networks

Bharath Muppasani, Protik Nag, Vignesh Narayanan, Biplav Srivastava, Michael N. Huhns

NeurIPS 2024 Opinion Dynamics RL

Expressive and Flexible Simulation of Information Spread Strategies in Social Networks Using Planning

Bharath Muppasani, Vignesh Narayanan, Biplav Srivastava, Michael N. Huhns

AAAI 2024 Demo Track Best Demo Award Opinion Dynamics

Building a Plan Ontology to Represent and Exploit Planning Knowledge and Its Applications

Bharath Muppasani, Nitin Gupta, Vishal Pallagani, Biplav Srivastava, Raghava Mutharaju, Michael N. Huhns, Vignesh Narayanan

CODS-COMAD 2024 Ontology

On the Prospects of Incorporating Large Language Models (LLMs) in Automated Planning and Scheduling (APS)

Vishal Pallagani, Bharath Muppasani, Kaushik Roy, Francesco Fabiano, Andrea Loreggia, Keerthiram Murugesan, Biplav Srivastava, Francesca Rossi, Lior Horesh, Amit Sheth

ICAPS 2024 LLMs

Solving the Rubik’s Cube With a PDDL Planner

Bharath Muppasani, Vishal Pallagani, Biplav Srivastava

ICAPS 2024 System Demo Planning

Comparing Rubik’s Cube Solvability in Domain-Independent Planners Using Standard Planning Representations

Bharath Muppasani, Vishal Pallagani, Biplav Srivastava, Forest Agostinelli

HSDIP Workshop @ ICAPS 2024 Planning
2023

A Dataset and Baseline Approach for Identifying Usage States from Non-intrusive Power Sensing with MiDAS IoT-Based Sensors

Bharath Muppasani, Cheyyur Jaya Anand, Chinmayi Appajigowda, Biplav Srivastava, Lokesh Johri

AAAI 2023 IAAI Time Series IoT
2023

On Safe and Usable Chatbots for Promoting Voter Participation

Bharath Muppasani, Vishal Pallagani, Kausik Lakkaraju, Shuge Lei, Biplav Srivastava, Brett Robertson, Andrea Hickerson, Vignesh Narayanan

AI Magazine 44(3) SafeChat

Plansformer: Demonstrating Generation of Symbolic Plans With Transformers

Vishal Pallagani, Bharath Muppasani, Biplav Srivastava, Francesca Rossi, Lior Horesh, Keerthiram Murugesan, Andrea Loreggia, Francesco Fabiano, Rony Joseph, Yathin Kethepalli

IJCAI 2023 Demo LLMs

Building and Using a Planning Ontology from Past Data for Performance Efficiency

Bharath Muppasani, Vishal Pallagani, Biplav Srivastava, Raghava Mutharaju, Vignesh Narayanan

PLATO Workshop @ ICAPS 2023 Ontology

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

FinPlan Workshop @ ICAPS 2023 LLMs

Improving Planner Performance by Learning and Using Metadata of Experiences

Vishal Pallagani, Bharath Muppasani, Biplav Srivastava

US Patent (Accepted 2023) Ontology