Meghna Bhadra

Meghna Bhadra is a Research Associate and PhD candidate at the International Center for Computational Logic (ICCL) within the Faculty of Computer Science at Dresden University of Technology (TU Dresden). She holds a Master's degree in Computational Logic and a Bachelors in Computer Science, with nearly four years of industry experience as a Software Developer.

• Education:
  • B.Sc. in Computer Science
  • M.Sc. in Computational Logic, TU Dresden

Her research focuses on Human Reasoning, bridging Logic, Cognitive Science, and Psychology. Current work includes predictive modeling in Human-AI collaborative frameworks and exploring the Weak Completion Semantics for cognitive reasoning tasks like skeptical reasoning and counterfactual analysis.

Meghna's publications (2020-2023) span topics in Computational Logic (e.g., Weak Completion Semantics), Artificial Intelligence (e.g., counterfactual reasoning for noise detection), and Cognitive Science (e.g., modeling human deductive processes). Her interdisciplinary approach integrates formal logic with empirical studies of human cognition.

She contributes to academic discourse through collaborations with researchers like Steffen Hölldobler and Marcos Cramer, focusing on abductive cognition, argumentation models, and rational rebuttal mechanisms. No scientific awards are explicitly mentioned in the provided text.