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
Agentic AI for Human Resources: LLM-Driven Candidate Assessment
System Demonstrations Track – EACL 2026
EvoArtist: A Visual LLM-Driven Agentic AI Framework for Autonomous Design Evolution
EvoMUSART 2026
EvoLiveDJ: A LLM-Based Agentic Framework for Interactive Evolutionary Live Music Performance
EvoMUSART 2026
AI Co-Artist: A LLM-Powered Framework for Interactive GLSL Shader Animation Evolution
EvoMUSART 2026
EvoLattice: Persistent Internal-Population Evolution through Multi-Alternative Quality-Diversity Graph Representations for LLM-Guided Program DiscoveryRead the research
LLM-Driven Active Listwise Tournaments for Portfolio Selection in Large Asset UniversesRead the research
MediaMind: Revolutionizing Media Monitoring using AgentificationRead the research
Efficient Machine Translation Corpus Generation: Integrating Human-in-the-Loop Post-Editing with Large Language ModelsRead the research
Emerging Multi-AI Agent Framework for Autonomous Agentic AI Solution Optimization