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

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.

πŸ‘©β€πŸŽ“ Education

  • πŸŽ“ Harvard University, Graduate School of Arts and Sciences

    • Ph.D. in Economics (2006)
      Dissertation: β€œEssays 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

  • πŸŽ“ 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

πŸ’Ό Work Experience

  • πŸ“ 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)

  • πŸ“ˆ 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)

  • πŸ“˜ 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

πŸ† Honors and Awards

  • 🎀 2025 Mark Kleiman Innovation for Public Policy Lecture Nominee

  • πŸ₯‡ Research Excellence Award, UBC (2016)

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

  • πŸ§‘β€πŸ« Faculty Impact Award, MBA Teaching, Kellogg (2013)

  • πŸ“ Best Paper Award, Journal of Marketing Science Conference (2009)

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

  • πŸ’Ό Best Paper Award, Conference on China and Finance (2008)

  • πŸ“Š Kauffman Research Grant, Searle Center (2008)

  • πŸ§‘β€πŸŽ“ Donald Jacobs Scholar, Kellogg (2006–2007)

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

  • πŸ“œ Hoopes Prize Nominee for undergraduate thesis, Harvard (2001)

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

PublicationΒ 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.

Dr. Kianoosh Boroojeni | Data Fusion Awards | Best Researcher Award

Dr. Kianoosh Boroojeni | Data Fusion Awards | Best Researcher AwardΒ 

Dr. Kianoosh Boroojeni, Florida International University, United States

Dr. Kianoosh Boroojeni is an Associate Teaching Professor at the Knight Foundation School of Computing & Information Sciences, Florida International University (FIU). He earned his Ph.D. and M.S. in Computer Science from FIU and a B.Eng. in Computer Engineering from the University of Tehran. His research interests include cybersecurity, generative AI in computer science education, STEM education, and computer networks. With over 50 scientific publications and more than 1,150 citations, Dr. Boroojeni has made significant contributions to his field. He has played a pivotal role in integrating AI-powered tools into computer science education and has collaborated with Google to enhance programming courses. His leadership extends to overseeing programming gateway courses, developing cybersecurity curricula, and promoting inclusive computing education. He has received multiple teaching recognitions and actively mentors students.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award – Kianoosh Boroojeni

Dr. Kianoosh Boroojeni is a highly accomplished researcher and educator in cybersecurity, AI in education, and computer networks, making him a strong candidate for the Best Researcher Award. His academic background, extensive research contributions, and leadership in integrating AI into education highlight his impact in the field.

Education πŸ“š

  • Ph.D., Computer Science – Florida International University, USA (2017)
  • M.S., Computer Science – Florida International University, USA (2016)
  • B.Eng., Computer Engineering – University of Tehran, Iran (2012)

Work Experience πŸ’Ό

πŸ”Ή Associate Teaching Professor – Florida International University (2023 – Present)

  • Leads Programming Gateway Committee to improve programming course success rates πŸ“Š
  • Collaborates with Google to integrate Generative AI in CS education πŸ€–
  • Chairs Faculty & Staff Awards Committee in the College of Engineering & Computing πŸ†
  • Supports intensive programming courses like CS I, II & III, Data Structures, and OS πŸ’Ύ

πŸ”Ή Assistant Teaching Professor – Florida International University (2017 – 2023)

  • Taught 16+ undergraduate courses and 4 graduate/Ph.D. courses 🏫
  • Developed new cybersecurity courses on Blockchains πŸ”
  • Led Google’s Tech-Exchange Program to recruit Hispanic & Black students into Google workforce 🌍
  • Designed and improved online courses to achieve Quality Matters (QM) Certifications βœ…
  • Achieved high student evaluations (4.6/5.0 overall) πŸ“ˆ

πŸ”Ή Post-Doctoral Fellow – Florida International University (Spring & Summer 2017)

  • Conducted DoD-funded research on network security & privacy πŸ”Ž
  • Mentored students in NSF-sponsored Research Experience program πŸ‘¨β€πŸ«

πŸ”Ή Graduate Assistant – Florida International University (2012 – 2017)

  • Assisted faculty in teaching & grading multiple undergraduate/graduate courses ✍️
  • Collaborated with researchers from Carnegie Mellon & University of British Columbia 🀝

Achievements & Awards πŸ…

πŸ† Published 50+ scientific papers with 1150+ citations (h-index: 19) πŸ“„
πŸ† Led Google-FIU collaboration to integrate LLM-powered AI tools in CS education πŸ€–
πŸ† Chaired Programming Gateway Committee to improve programming course completion rates 🎯
πŸ† Successfully developed and taught two new cybersecurity courses on Blockchain πŸ”
πŸ† Achieved high teaching ratings (4.6/5.0) for multiple CS courses πŸ“Š
πŸ† Contributed to NSF & DoD research projects on cybersecurity and network security πŸ›

PublicationΒ Top Notes:

Fundamentals of brooks-iyengar distributed sensing algorithm: Trends, advances, and future prospects

A Multi-time-scale Time Series Analysis for Click Fraud Forecasting using Binary Labeled Imbalanced Dataset