We believe that active research contribution within the AI community is crucial for advancing our industry in proactive and beneficial ways. Throughout their careers, our team of AI scientists and engineers has consistently published their findings to actively participate in academic discourse.
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Meet our research leaders
Hassan SawafFounder & CEO
Kareem DarwishaiXplain Scholar
Mohamed ElbadrashinyDirector of Technology
Kamer YukselDistinguished Scientist
Publications from aiXplain
AlphaSharpe: LLM-Driven Discovery of Robust Risk-Adjusted MetricsRead the research
Revisiting Early Detection of Sexual Predators via Turn-level Optimization
NAACL 2025
DyPCL: Dynamic Phoneme-level Contrastive Learning for Dysarthric Speech Recognition
NAACL 2025
A Multi-AI Agent System for Autonomous Optimization of Agentic AI Solutions via Iterative Refinement and LLM-Driven Feedback LoopsRead the research
Bel Esprit: Multi-Agent Framework for Building AI Model PipelinesRead the research