2024

• Towards Enhancing Road Safety in South Carolina Using Insights from Traffic and Driver-Education Data
  Thirty-Ninth AAAI Conference on Artificial Intelligence (AAAI-25), Philadelphia, USA, Feb 2025
  Nitin Gupta, Bharath Muppasani, Saina Srivastava, Aarohi Goel, Ross Hartfield, Todd Buehrig, Melissa Reck, Emma Kennedy, Kevin Poore, Karilyn Tremblay, Biplav Srivastava, Lucas Vasconcelos
  [Paper] Conference Data Analysis Traffic
  
• Building a Plan Ontology to Represent and Exploit Planning Knowledge and Its Applications
  Eighth International Conference on Data Science and Management of Data (CODS-COMAD '24), India, 2024.
  Bharath Muppasani, Nitin Gupta, Vishal Pallagani, Biplav Srivastava, Raghava Mutharaju, Michael N. Huhns and Vignesh Narayanan
  [Paper] [Website] Conference Automated Planning Ontology
  
• Towards Effective Planning Strategies for Dynamic Opinion Networks
  Thirty-eighth Annual Conference on Neural Information Processing Systems (NeurIPS), Vancouver, 2024 (Info Spread, AR=25.8%)
  Bharath Muppasani, Protik Nag, Vignesh Narayanan, Biplav Srivastava and Michael N. Huhns
  [Paper] [Poster] Conference Dynamical Systems Automated Planning
  
• AI-Assisted Research Collaboration with Open Data for Fair and Effective Response to Call for Proposals
  AAAI AI Magazine
  Siva Likitha Valluru, Michael Widener, Biplav Srivastava, Sriraam Natarajan, Sugata Gangopadhyay
  [Paper] Data Analysis Recommender Systems
  
• BEACON: Balancing Convenience and Nutrition in Meals With Long-Term Group Recommendations and Reasoning on Multimodal Recipes
  Vansh Nagpal, Siva Likitha Valluru, Kausik Lakkaraju, Biplav Srivastava
  [Paper] Preprint Data Analysis Recommender Systems
  
• Comparing Rubik's Cube Solvability in Domain-Independent Planners Using Standard Planning Representations for Insights and Synergy with Upcoming Learning Methods
  Heuristics and Search for Domain-Independent Planning (HSDIP) Workshop at ICAPS 2024
  Bharath Muppasani, Vishal Pallagani, Biplav Srivastava and Forest Agostinelli
  [Paper] [Slides] Workshop Automated Planning
  
• The Case for Developing a Foundation Model for Planning-like Tasks from Scratch
  Planning and Reinforcement Learning (PRL) Workshop at ICAPS 2024
  Biplav Srivastava, Vishal Pallagani
  [Paper] Workshop Automated Planning
  
• Solving the Rubik's Cube with a PDDL Planner
  Proceedings of the 34th International Conference on Automated Planning and Scheduling (ICAPS) - Demonstration Track (ICAPS-24 Demo)
  Bharath Muppasani, Vishal Pallagani and Biplav Srivastava
  [Paper] [Poster] [Video] Demo Automated Planning
  
• Rating Sentiment Analysis Systems for Bias through a Causal Lens
  IEEE Transactions on Technology and Society (IF=5.2)
  Kausik Lakkaraju, Biplav Srivastava, Marco Valtorta
  [Paper] Journal Trust Rating
  
• Promoting Research Collaboration with Open Data Driven Team Recommendation in Response to Call for Proposals
  Deployed Application paper in the Proceedings of the Thirty-Sixth Annual Conference on Innovative Applications of Artificial Intelligence (AAAI/IAAI-24) (AR=31%)
  Siva Likitha Valluru, Biplav Srivastava, Sai Teja Paladi, Siwen Yan, Sriraam Natarajan
  [Paper] [Poster] Conference Recommender Systems Deployed Application Award at AAAI/IAAI-24
  
• Expressive and Flexible Simulation of Information Spread Strategies in Social Networks Using Planning
  Proceedings of the Thirty-Eighth Annual Conference of Association for Advancement of Artificial Intelligence - Demonstrations Track (AAAI-24 Demo)
  Bharath Muppasani, Vignesh Narayanan, Biplav Srivastava and Michael N. Huhns
  [Paper] [Poster] [Video] Demo Automated Planning Best Demo at AAAI-24
• ULTRA: Exploring Team Recommendations in Two Geographies Using Open Data in Response to Call for Proposals
  Proceedings of the 7th Joint International Conference on Data Science & Management of Data (CODS-COMAD) Demonstration Track, 2024(AR=50%)
  Siva Likitha Valluru, Michael Widener, Biplav Srivastava, Sugata Gangopadhyay
  [Paper] Demo Recommender Systems
  
• On the Prospects of Incorporating Large Language Models (LLMs) in Automated Planning and Scheduling (APS)
  Proceedings of the 34th International Conference on Automated Planning and Scheduling (ICAPS), 2024 (AR = 21.64%)
  Vishal Pallagani, Bharath Muppasani, Kaushik Roy, Francesco Fabiano, Andrea Loreggia, Keerthiram Murugesan, Biplav Srivastava, Francesca Rossi, Lior Horesh, Amit Sheth
  [Paper] Preprint Automated Planning Neuro-Symbolic AI
  
• From Cloud to Edge: Rethinking Generative AI for Low-Resource Design Challenges
  Artificial Intelligence for Design Problems Bridge Program at AAAI, 2024
  Sai Krishna Revanth Vuruma, Ashley Margetts, Jianhai Su, Faez Ahmed, Biplav Srivastava
  [Paper] Workshop Neuro-Symbolic AI
  
• Plan-SOFAI: A Neuro-Symbolic Planning Architecture
  Neuro-Symbolic Learning and Reasoning in the Era of Large Language Models (NuCLeaR) Workshop at AAAI, 2024
  Francesco Fabiano, Vishal Pallagani, Marianna Bergamaschi Ganapini, Lior Horesh, Andrea Loreggia, Keerthiram Murugesan, Francesca Rossi, Biplav Srivastava
  [Paper] Workshop Automated Planning Neuro-Symbolic AI
  

2023

• Building and Using a Planning Ontology from Past Data for Performance Efficiency
  Planning and Ontology Workshop (PLATO), ICAPS 2023, Prague, CZ
  Bharath Muppasani, Vishal Pallagani, Biplav Srivastava and Raghava Mutharaju
  [Paper] Workshop Automated Planning Ontology
  
• Value-based Fast and Slow AI Nudging
  Ethics and Trust in Human-AI Collaboration: Socio-Technical Approaches Workshop at IJCAI, 2023
  Marianna B Ganapini, Francesco Fabiano, Lior Horesh, Andrea Loreggia, Nicholas Mattei, Keerthiram Murugesan, Vishal Pallagani, Francesca Rossi, Biplav Srivastava, Brent Venable
  [Paper] Workshop Neuro-Symbolic AI
  
• Understanding the Capabilities of Large Language Models for Automated Planning
  Vishal Pallagani, Bharath Muppasani, Keerthiram Murugesan, Francesca Rossi, Biplav Srivastava, Lior Horesh, Francesco Fabiano, Andrea Loreggia
  [Paper] Preprint Automated Planning
  
• Fast and Slow Planning
  Francesco Fabiano, Vishal Pallagani, Marianna Bergamaschi Ganapini, Lior Horesh, Andrea Loreggia, Keerthiram Murugesan, Francesca Rossi, Biplav Srivastava
  [Paper] Preprint Automated Planning Neuro-Symbolic AI
  
• Plansformer: Generating symbolic plans using transformers
  Generalization in Planning (GenPlan) Workshop at NeurIPS, 2023
  Vishal Pallagani, Bharath Muppasani, Keerthiram Murugesan, Francesca Rossi, Biplav Srivastava, Lior Horesh, Francesco Fabiano, Andrea Loreggia
  [Paper] Workshop Automated Planning Neuro-Symbolic AI
  
• LLMs for Financial Advisement: A Fairness and Efficacy Study in Personal Decision Making
  4th ACM International Conference on AI in Finance: ICAIF'23, New York, 2023
  Kausik Lakkaraju, Sara Rae Jones, Sai Krishna Revanth Vuruma, Vishal Pallagani, Bharath C Muppasani and Biplav Srivastava
  [Paper] [Slides] Conference Chatbots Finance
  
• The Effect of Human v/s Synthetic Test Data and Round-tripping on Assessment of Sentiment Analysis Systems for Bias
  The Fifth IEEE International Conference on Trust, Privacy and Security in Intelligent Systems, and Applications: IEEE TPS'23, Atlanta, 2023
  Kausik Lakkaraju, Aniket Gupta, Biplav Srivastava, Marco Valtorta, Dezhi Wu
  [Paper] [Slides] Conference Trust Rating
  
• Evaluating Chatbots to Promote Users' Trust -- Practices and Open Problems
  Biplav Srivastava, Kausik Lakkaraju, Tarmo Koppel, Vignesh Narayanan, Ashish Kundu, Sachindra Joshi
  [Paper] Preprint Chatbots
  
• Trust and ethical considerations in a multi-modal, explainable AI-driven chatbot tutoring system: The case of collaboratively solving Rubik’s Cube
  ICML 2023 TEACH Conversational AI Workshop, Hawaii, 2023
  Kausik Lakkaraju, Vedant Khandelwal, Biplav Srivastava, Forest Agostinelli, Hengtao Tang, Prathamjeet Singh, Dezhi Wu, Matt Irvin, Ashish Kundu
  [Paper] Workshop Chatbots
  
• On Safe and Usable Chatbots for Promoting Voter Participation
  AAAI AI Magazine
  Bharath Muppasani, Vishal Pallagani, Kausik Lakkaraju, Shuge Lei, Biplav Srivastava, Brett Robertson, Andrea Hickerson, Vignesh Narayanan
  [Paper] Chatbots Elections
  
• Plansformer Tool: Demonstrating Generation of Symbolic Plans using Transformers
  International Joint Conference on Artificial Intelligence (IJCAI) Demo Track, 2023
  Vishal Pallagani, Bharath Muppasani, Biplav Srivastava, Francesca Rossi, Lior Horesh, Keerthiram Murugesan, Andrea Loreggia, Francesco Fabiano, Rony Joseph, Yathin Kethepal
  [Paper] Demo Automated Planning
  
• A Review of the Explainability and Safety of Conversational Agents for Mental Health to Identify Avenues for Improvement
  Frontiers Artificial Intelligence
  Surjodeep Sarkar, Manas Gaur, Lujie Karen Chen, Muskan Garg, Biplav Srivastava
  [Paper] Journal Chatbots
  
• Regulation Intelligence ^Water(RI^W): AI for Promoting Better Understanding of Water’s Regulatory Context for Informed Decision Making
  American Geophysical Union, San Francisco, USA, 2023
  Biplav Srivastava
  [Paper - coming soon] Water
  
• Understanding and Working with Large Language Models (LLMs) for Water Decision Support in India
  American Geophysical Union, San Francisco, USA, 2023
  Bihu Suchetana, Vaishnavi Anand, Khushi Porwal, Biplav Srivastava
  [Paper - coming soon] Water
  
• Promoting Sustainable Water Usage and Management with Water Data, AI and Policy
  In 6th Joint International Conference on Data Science & Management of Data (10th ACM IKDD CODS and 28th COMAD) (CODS-COMAD 2023), January 4–7, 2023, Mumbai, India
  Bihu Suchetana, Biplav Srivastava, Hari Prabhat Gupta, Manabendra Saharia
  [Paper] Tutorial Water
  
• Modeling and Steering Multi-Dimensional Opinion Networks with Aggregated Measurements
  SIAM Conference on Dynamical Systems, May 2023
  Vignesh Narayanan, Bharath Muppasani, Sai Teja Paladi, Biplav Srivastava, Michael Huhns
  [Paper - coming soon]
  
• A Dataset and Baseline Approach for Identifying Usage States from Non-Intrusive Power Sensing With MiDAS IoT-based Sensors
  Proc. Thirty-Fifth Annual Conference on Innovative Applications of Artificial Intelligence (AAAI/IAAI-23)
  Bharath Muppasani, Cheyyur Jaya Anand, Chinmayi Appajigowda, Biplav Srivastava, Lokesh Johri
  [Paper] [Slides] Conference Data Analysis Power IoT
  
• On Safe and Usable Chatbots for Promoting Voter Participation
  AAAI 2023 Workshop on AI for Credible Elections
  Bharath Muppasani, Vishal Pallagani, Kausik Lakkaraju, Shuge Lei, Biplav Srivastava, Brett Robertson, Andrea Hickerson, Vignesh Narayanan
  [Paper] Workshop Chatbots Elections
  
• Advances in Automatically Rating the Trustworthiness of Text Processing Services
  AI Ethics (Springer Nature), 2023 (IF=2); Also in AAAI Spring Symposium on AI Trustworthiness Assessment, San Francisco, 2023
  Biplav Srivastava, Kausik Lakkaraju, Mariana Bernagozzi, Marco Valtorta
  [Paper] Journal Trust Rating
  
• Can LLMs be Good Financial Advisors?: An Initial Study in Personal Decision Making for Optimized Outcomes
  Planning and Scheduling for Financial Services (FinPlan'23) Workshop at ICAPS 2023
  Kausik Lakkaraju, Sai Krishna Revanth Vuruma, Vishal Pallagani, Bharath Muppasani, Biplav Srivastava
  [Paper] [Slides] Workshop Trust Rating Finance
  

2022

• Data-based Insights for the Masses: Scaling Natural Language Querying to Middleware Data
  Database Systems for Advanced Applications: 27th International Conference, DASFAA 2022
  Kausik Lakkaraju, Vinamra Palaiyya, Sai Teja Paladi, Chinmayi Appajigowda, Biplav Srivastava, Lokesh Johri
  [Paper] [Presentation] Conference Data Analysis
  
• Combining Fast and Slow Thinking for Human-like and Efficient Navigation in Constrained Environments
  Proceedings of the 16th International Workshop on Neural-Symbolic Learning and Reasoning (NeSy 2022) Co-located with (IJCLR 2022)
  Marianna Bergamaschi Ganapini, Murray Campbell, Francesco Fabiano, Lior Horesh, Jon Lenchner, Andrea Loreggia, Nicholas Mattei, Taher Rahgooy, Francesca Rossi, Biplav Srivastava, Kristen Brent Venable
  [Paper] Workshop Neuro-Symbolic AI
  
• Why is my System Biased?: Rating of AI Systems through a Causal Lens [Student Abstract]
  Conference on Artificial Intelligence, Ethics and Society (AIES) 2022
  Kausik Lakkaraju
  [Paper] [Slides] Conference Trust Rating
  

2021

• Thinking Fast and Slow in AI: the Role of Metacognition
  International Conference on Machine Learning, Optimization, and Data Science
  Marianna Ganapini, Murray Campbell, Francesco Fabiano, Lior Horesh, Jon Lenchner, Andrea Loreggia, Nicholas Mattei, Francesca Rossi, Biplav Srivastava, Kristen Brent Venable
  [Paper] Conference Neuro-Symbolic AI
  
• Prudent: A Generic Dialog Agent for Information Retrieval That Can Flexibly Mix Automated Planning and Reinforcement Learning
  International Conference on Automated Planning and Scheduling (ICAPS) Demonstration Track, 2021
  Vishal Pallagani, Biplav Srivastava
  [Paper] Demo Automated Planning Chatbots