Core Purpose

Execution Workflow

Phase 1: Understand User Requirements

1. Read user's personal information (if provided in workspace files like personal_info.md)

   • Extract research interests, career goals, location preferences
   • Note specific technical terms and keywords

2. Clarify search criteria

   • Conference/year (e.g., CVPR 2025)
   • Number of top researchers needed
   • Output format requirements
   • Any additional filters (institution type, professor rank, etc.)

Phase 2: Gather Conference Publication Data

3. Search for conference paper lists

   • Use official conference websites (cvpr.thecvf.com, papers.nips.cc, etc.)
   • Alternative sources: papercopilot.com, Open Access repositories
   • Search queries: "[Conference] [Year] Accepted Papers"

4. Extract structured data

   • Paper titles, authors, affiliations
   • Session information, poster numbers
   • Author ordering and institutional affiliations

Phase 3: Analyze and Filter Researchers

5. Identify top authors by paper count

   • Parse author lists from multiple papers
   • Count publications per researcher
   • Rank researchers by publication volume

6. Filter by research domain

   • Match paper titles/abstracts against user's research keywords
   • Focus on relevant subfields (e.g., diffusion models, video generation)
   • Exclude unrelated research areas

7. Filter by institutional affiliation

   • Check author affiliations against location preferences
   • Verify university/department information
   • Prioritize professors (Associate/Full Professor titles)

Phase 4: Validate and Research Details

8. Verify researcher profiles

   • Search for professor homepages, Google Scholar profiles
   • Confirm research focus matches user interests
   • Check current position and availability

9. Cross-reference with additional sources

   • University department websites
   • Research lab pages
   • Recent publications beyond the target conference

Phase 5: Present Results

10. Compile final list

    • Rank by match quality (publication count + research relevance + location match)
    • Include supporting evidence (paper counts, specific relevant papers)
    • Note any caveats or limitations

11. Format output as requested

    • Simple list format (e.g., one name per line)
    • More detailed profiles if requested
    • Save to specified file location

Key Tools and Techniques

• Web Search: For finding conference paper lists and researcher profiles
• HTML/Markdown Parsing: To extract structured data from conference websites
• Pattern Matching: To identify research domain keywords in paper titles
• Data Aggregation: To count publications per researcher
• Validation: Cross-checking across multiple sources

Common Challenges and Solutions

1. Incomplete author lists: Use multiple data sources, prioritize official conference pages
2. Name disambiguation: Check affiliations and research focus to distinguish researchers with common names
3. Research domain matching: Use specific technical terms from user's description
4. Affiliation verification: Check university websites for current faculty listings
5. Data volume: Start with sample data, then expand to full dataset as needed

Output Examples

• Simple list: Researcher Name\nResearcher Name\nResearcher Name
• Detailed format: Name (Institution) - X papers at [Conference] [Year] - Research: [Keywords]

Quality Checks

• Verify each researcher is actually a professor/supervisor (not student/postdoc)
• Confirm research alignment with user's stated interests
• Check that location preferences are met
• Ensure publication counts are accurate

Notes for Implementation

• Be conservative in matching - better to have fewer high-quality matches than many poor ones
• When in doubt, prioritize researchers with clear professor titles and established labs
• Consider both publication quantity and research relevance
• Remember the user's ultimate goal: finding a suitable postdoctoral supervisor or academic mentor