Paras Sharma

Orcid: 0009-0007-7645-653X

According to our database1, Paras Sharma authored at least 16 papers between 2020 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Flood Risk Follows Valleys, Not Grids: Graph Neural Networks for Flash Flood Susceptibility Mapping in Himachal Pradesh with Conformal Uncertainty Quantification.
CoRR, March, 2026

Pulse-Driven Neural Architecture: Learnable Oscillatory Dynamics for Robust Continuous-Time Sequence Processing.
CoRR, March, 2026

Hybrid LLM-Embedded Dialogue Agents for Learner Reflection: Designing Responsive and Theory-Driven Interactions.
CoRR, February, 2026

Hybrid LLM-Embedded Dialogue Agents for Learner Reflection: Designing Responsive and Theory-Driven Interactions.
Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems, 2026

2025
Contextual ASR Error Handling with LLMs Augmentation for Goal-Oriented Conversational AI.
Proceedings of the 31st International Conference on Computational Linguistics, 2025

Who's Got the Power? Data Feminism as a Lens for Designing AIED Engagement Systems.
Proceedings of the Artificial Intelligence in Education - 26th International Conference, 2025

Beyond Static Measures: Temporal Analysis of Lexical Alignment in Human-Human Learning With a Teachable Robot.
Proceedings of the Artificial Intelligence in Education - 26th International Conference, 2025

Multi-party Lexical Alignment in Collaborative Learning with a Teachable Robot.
Proceedings of the Artificial Intelligence in Education - 26th International Conference, 2025

2024
Building Learner Activity Models From Log Data Using Sequence Mapping and Hidden Markov Models.
Proceedings of the 17th International Conference on Educational Data Mining, 2024

Designing Simulated Students to Emulate Learner Activity Data in an Open-Ended Learning Environment.
Proceedings of the 17th International Conference on Educational Data Mining, 2024

Multimodal Sensing of Goals and Activities During Interactions with a Co-created Robot.
Proceedings of the Technology Enhanced Learning for Inclusive and Equitable Quality Education, 2024

2021
Quantisation of driving enablers enabling transition from traditional to flexible manufacturing system.
Int. J. Manuf. Technol. Manag., 2021

A Model-free Deep Reinforcement Learning Approach To Maneuver A Quadrotor Despite Single Rotor Failure.
CoRR, 2021

PG-RRT: A Gaussian Mixture Model Driven, Kinematically Constrained Bi-directional RRT for Robot Path Planning.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Performance Evaluation of Deep Learning Models for Ship Detection.
Proceedings of the Computer Vision and Image Processing - 6th International Conference, 2021

2020
Detection and localization of potholes in thermal images using deep neural networks.
Multim. Tools Appl., 2020


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