| DCrop: A deep-learning based framework for accurate prediction of diseases of crops in smart agriculture V Pallagani, V Khandelwal, B Chandra, V Udutalapally, D Das, ... 2019 IEEE international symposium on smart electronic systems (iSES …, 2019 | 248 | 2019 |
| IoT based smart home automation system using sensor node H Singh, V Pallagani, V Khandelwal, U Venkanna 2018 4th International Conference on Recent Advances in Information …, 2018 | 194 | 2018 |
| sCrop: A novel device for sustainable automatic disease prediction, crop selection, and irrigation in Internet-of-Agro-Things for smart agriculture V Udutalapally, SP Mohanty, V Pallagani, V Khandelwal IEEE Sensors Journal 21 (16), 17525-17538, 2020 | 177 | 2020 |
| Process knowledge-infused ai: Toward user-level explainability, interpretability, and safety A Sheth, M Gaur, K Roy, R Venkataraman, V Khandelwal IEEE Internet Computing 26 (5), 76-84, 2022 | 71 | 2022 |
| Demo Alleviate: Demonstrating Artificial Intelligence Enabled Virtual Assistance for Telehealth: The Mental Health Case K Roy, V Khandelwal, R Goswami, N Dolbir, J Malekar, A Sheth AAAI 37th Conference on Artificial Intelligence, 2023 | 26 | 2023 |
| " Is depression related to cannabis?": A knowledge-infused model for Entity and Relation Extraction with Limited Supervision K Roy, U Lokala, V Khandelwal, A Sheth AAAI Spring Symposium on Combining Machine Learning and Knowledge Engineering, 2021 | 22 | 2021 |
| Designing children’s new learning partner: collaborative artificial intelligence for learning to solve the rubik’s cube F Agostinelli, M Mavalankar, V Khandelwal, H Tang, D Wu, B Berry, ... Proceedings of the 20th Annual ACM Interaction Design and Children …, 2021 | 18 | 2021 |
| Specifying goals to deep neural networks with answer set programming F Agostinelli, R Panta, V Khandelwal Proceedings of the International Conference on Automated Planning and …, 2024 | 13 | 2024 |
| A domain-agnostic neurosymbolic approach for big social data analysis: Evaluating mental health sentiment on social media during covid-19 V Khandelwal, M Gaur, U Kursuncu, VL Shalin, AP Sheth 2024 IEEE International Conference on Big Data (BigData), 959-968, 2024 | 12* | 2024 |
| GEAR-Up: Generative AI and External Knowledge-based Retrieval Upgrading Scholarly Article Searches for Systematic Reviews K Roy, V Khandelwal, H Surana, V Vera, A Sheth, H Heckman AAAI Conference on Artificial Intelligence 38, 2024 | 12 | 2024 |
| Trust and ethical considerations in a multi-modal, explainable AI-driven chatbot tutoring system: The case of collaboratively solving Rubik's Cube K Lakkaraju, V Khandelwal, B Srivastava, F Agostinelli, H Tang, P Singh, ... arXiv preprint arXiv:2402.01760, 2024 | 12 | 2024 |
| A Rich Recipe Representation as Plan to Support Expressive Multi Modal Queries on Recipe Content and Preparation Process V Pallagani, P Ramamurthy, V Khandelwal, R Venkataramanan, ... ICAPS KEPS 2022, 2022 | 11 | 2022 |
| Allure: A multi-modal guided environment for helping children learn to solve a rubik’s cube with automatic solving and interactive explanations K Lakkaraju, T Hassan, V Khandelwal, P Singh, C Bradley, R Shah, ... Proceedings of the AAAI Conference on Artificial Intelligence 36 (11), 13185 …, 2022 | 9 | 2022 |
| Pddlfuse: A tool for generating diverse planning domains V Khandelwal, A Sheth, F Agostinelli arXiv preprint arXiv:2411.19886, 2024 | 4 | 2024 |
| Explainable pathfinding for inscrutable planners with inductive logic programming F Agostinelli, R Panta, V Khandelwal, B Srivastava, BC Muppasani, ... ICAPS 2022 Workshop on Explainable AI Planning, 2022 | 4 | 2022 |
| Robust useful and general task-oriented virtual assistants B Srivastava, K Lakkaraju, R Venkataramanan, V Pallagani, ... US Patent 12,067,983, 2024 | 3 | 2024 |
| Towards Learning Foundation Models for Heuristic Functions to Solve Pathfinding Problems V Khandelwal, A Sheth, F Agostinelli arXiv preprint arXiv:2406.02598, 2024 | 3 | 2024 |
| Language Models Coupled with Metacognition Can Outperform Reasoning Models V Khandelwal, F Rossi, K Murugesan, E Miehling, M Campbell, ... arXiv preprint arXiv:2508.17959v1, 2025 | 1 | 2025 |
| NeuroSymbolic Knowledge-Grounded Planning and Reasoning in Artificial Intelligence Systems A Sheth, V Khandelwal, K Roy, V Pallagani, M Chakraborty IEEE Intelligent Systems 40 (2), 27-34, 2025 | 1 | 2025 |
| SOFAI-LM: A Cognitive Architecture for Building Efficient and Reliable Reasoning Systems with LLMs V Khandelwal, F Rossi, V Pallagani, K Murugesan, L Horesh AAAI Conference on Artificial Intelligence, 2026 | | 2026 |
Vishal PallaganiUniversity of South CarolinaVerified email at mailbox.sc.edu
