Prof. Yi Qian | Data Fusion Awards | Best Researcher Award

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Prof. Yi Qian | Data Fusion Awards | Best Researcher Award

Prof. Yi Qian, University of British Columbia, Canada

Dr. Yi Qian is a Professor at the Sauder School of Business, University of British Columbia (UBC), where he has been a faculty member since 2015. He holds a Ph.D. in Economics from Harvard University, where his dissertation focused on the Economics of Intellectual Property Rights, Innovation, and Antitrust. Dr. Qian has held several prestigious positions, including Visiting Associate Professor at Cornell University and Northwestern University. He is an active research associate with the National Bureau of Economic Research (NBER) and has published extensively in the fields of econometrics, intellectual property, and industrial organization. Dr. Qian has received numerous awards, including the Research Excellence Award at UBC and the Thomas Edison Innovation Fellowship. His research grants include significant contributions from SSHRC and the National Natural Science Foundation of China (NSFC). His work has been influential in shaping policies related to intellectual property and innovation, and he continues to contribute to the academic community through his leadership and groundbreaking research.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award: Dr. Yi Qian

Dr. Yi Qian is highly suitable for the Best Researcher Award, demonstrating an exceptional combination of academic rigor, research innovation, and international recognition in the fields of Economics, Intellectual Property Rights, Innovation, and Public Policy. Her impressive academic track record and consistent output of impactful research make her an outstanding candidate.

👩‍🎓 Education

  • 🎓 Harvard University, Graduate School of Arts and Sciences

    • Ph.D. in Economics (2006)
      Dissertation: “Essays on the Economics of Intellectual Property Rights, Innovation, and Antitrust”

      • Specialized in Econometrics and Industrial Organization

      • Committee Chair: Prof. Josh Lerner

    • A.M. in Statistics (2001)

      • Advisor: Prof. Donald Rubin

  • 🎓 Harvard College, A.B. in Economics, Magna Cum Laude (2001)

    • Phi Beta Kappa

    • GPA: 3.9/4.0

    • Hoopes Prize Nominee

    • Advisor: Prof. Richard Caves

💼 Work Experience

  • 📍 University of British Columbia, Sauder School of Business

    • Professor (2025–Present)

    • Associate Professor with tenure (2015–2025)

  • 🌍 Visiting Appointments

    • Visiting Associate Professor, Cornell University, Economics Dept. (2022, remote)

    • Visiting Associate Professor, Northwestern University, Kellogg School of Management (2015)

  • 📈 Northwestern University, Kellogg School of Management (2006–2014)

    • Assistant Professor

    • Faculty roles with Searle Center, Institute for Policy Research, and Commercialization Institute

  • 🧠 National Bureau of Economic Research (NBER)

    • Research Associate (2015–Present), Program on Productivity, Innovation, and Entrepreneurship

    • Faculty Research Fellow (2008–2015)

  • 📘 Harvard University

    • Teaching Fellow and Research Associate (2000–2006)

    • Courses: Advanced Econometrics, International Trade & Finance

  • 🌐 Peterson Institute for International Economics

    • Research Associate on International Trade and Labor Mobility (2000)

    • Collaborations with World Bank, IMF, and Brookings

🏆 Honors and Awards

  • 🎤 2025 Mark Kleiman Innovation for Public Policy Lecture Nominee

  • 🥇 Research Excellence Award, UBC (2016)

  • 🧠 Thomas Edison Innovation Fellowship (2012–2013, 2014–2015)

  • 🧑‍🏫 Faculty Impact Award, MBA Teaching, Kellogg (2013)

  • 📝 Best Paper Award, Journal of Marketing Science Conference (2009)

  • 🌍 Emerald Citation of Excellence for top 50 article in management (2009)

  • 💼 Best Paper Award, Conference on China and Finance (2008)

  • 📊 Kauffman Research Grant, Searle Center (2008)

  • 🧑‍🎓 Donald Jacobs Scholar, Kellogg (2006–2007)

  • 🎖️ Doctoral Fellowship and multiple research/travel grants from Harvard (2001–2006)

  • 📜 Hoopes Prize Nominee for undergraduate thesis, Harvard (2001)

  • 🌏 United World Colleges Scholarship, Lester B. Pearson College (1995–1997)

Publication Top Notes:

Addressing Endogeneity Using a Two-Stage Copula Generated Regressor Approach

Correcting Regressor-Endogeneity Bias via Instrument-Free Joint Estimation Using Semiparametric Odds Ratio Models

Assessing complier average causal effects from longitudinal trials with multiple endpoints and treatment noncompliance: An application to a study of Arthritis Health Journal

Simplifying Bias Correction for Selective Sampling: A Unified Distribution-Free Approach to Handling Endogenously Selected Samples

Signaling virtuous victimhood as indicators of Dark Triad personalities.

Mr. Cailin Li | Data Integration | Best Researcher Award

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Mr. Cailin Li | Data Integration | Best Researcher Award 

Mr. Cailin Li, Shandong University of Technology, China

Cailin Li, Ph.D., is a Professor in the Department of Surveying and Mapping Engineering at the School of Civil Engineering and Geomatics, Shandong University of Technology, China. He holds a Bachelor’s degree in Geographic Information Systems from Henan University (2006), a Master’s degree in Cartography and Geographical Information Systems from Wuhan University (2008), and a Ph.D. in Photogrammetry and Remote Sensing from Wuhan University (2011). With extensive academic experience, he has served as a Lecturer at Hubei University of Technology and later at Shandong University of Technology, where he was promoted to Associate Professor in 2018 and Professor in 2023. His research focuses on LiDAR point cloud fusion, 3D laser scanning, photogrammetry, and cultural heritage restoration. He has secured multiple research grants, including funding from the National Natural Science Foundation of China and the Shandong Natural Science Foundation. Additionally, he teaches courses on photogrammetry, data structures, and UAV-based low-altitude photogrammetry applications.

Professional Profile:

SCOPUS

Summary of Suitability for the Best Researcher Award

Dr. Cailin Li, a Professor at Shandong University of Technology, is a highly qualified candidate for the Best Researcher Award, given his outstanding contributions to photogrammetry, remote sensing, and geographic information systems (GIS). His work focuses on LiDAR-based urban intelligence, 3D modeling, and cultural heritage restoration, making significant advancements in both theoretical and applied research.

📌 Education

  • 🎓 Bachelor’s Degree in Geographic Information System, Henan University, China (June 2006)
  • 🎓 Master’s Degree in Cartography and Geographical Information System, Wuhan University, China (June 2008)
  • 🎓 Ph.D. in Photogrammetry and Remote Sensing, Wuhan University, China (June 2011)

💼 Work Experience

  • 👨‍🏫 Lecturer, Department of Software Engineering, Hubei University of Technology, China (July 2011 – September 2013)
  • 👨‍🏫 Lecturer, Department of Surveying and Mapping Engineering, Shandong University of Technology, China (October 2013 – December 2017)
  • 🏅 Associate Professor, Department of Surveying and Mapping Engineering, Shandong University of Technology, China (January 2018 – December 2022)
  • 🎓 Professor, Department of Surveying and Mapping Engineering, Shandong University of Technology, China (January 2023 – Present)

🏆 Achievements & Research Grants

  • 📡 Principal Investigator of multiple funded research projects in photogrammetry, LiDAR, 3D modeling, and cultural heritage restoration.
  • 💰 Major Research Grants:
    • 🔬 Shandong Natural Science Foundation (2023-2025) – RMB 100,000
    • 🔬 National Natural Science Foundation of China (2017-2019) – RMB 228,000
    • 🏛 Shandong Key Research & Development Program (2018-2019) – RMB 250,000
    • 🎭 Cultural Heritage Restoration & AR Project (2018-2020) – Self-financed

🏅 Awards & Honors

  • 🏆 Recognized for contributions to LiDAR-based urban information recognition
  • 📖 Published impactful research in remote sensing, GIS, and 3D modeling
  • 🏅 Recognized for excellence in teaching photogrammetry and GIS applications

Publication Top Notes:

Research on Multi-Source Data Fusion Urban Functional Area Identification Method Based on Random Forest Model

POI Data Fusion Method Based on Multi-Feature Matching and Optimization

Semantic Segmentation of Point Cloud Scene via Multi-Scale Feature Aggregation and Adaptive Fusion

Street Community-Level Urban Flood Risk Assessment Based on Numerical Simulation