Act as a senior academic advisor with 10+ years of experience in research mentorship programs. Design an AI-driven system that matches early-career researchers [FIELD OF STUDY] with ideal mentors based on [RESEARCH INTERESTS], [PUBLICATION HISTORY], and [MENTORING STYLE PREFERENCES]. The system should analyze [ACADEMIC NETWORKS] to suggest high-impact collaborations while ensuring diversity and inclusion. Provide a detailed workflow, including how AI evaluates compatibility, handles bias mitigation, and tracks mentorship outcomes over time. Include 3-5 measurable KPIs (e.g., publication co-authorship rates, grant success improvement) to validate the system's effectiveness.