About Me

Greeting! I’m Yihong Liu (IPA: /i1/ /xʊŋ2/ /ljoʊ3/; Chinese: 柳一泓), a Ph.D. candidate of Management Science in Information Systems Concentration at the Naveen Jindal School of Management, University of Texas at Dallas.

I am seeking a tenure-track assistant professor position in Information Systems or relevant areas, starting Fall 2025. If you believe I would be a good fit to your department, please contact me (email: yihong.liu@utdallas.edu ).

Research Interests 📑


My research explores the potential of Information Technology (IT) in empowering individuals, communities, organizations, and society by connecting data and decision-making.

I focus on the design and analysis of IT artifacts, particularly in the realm of emergent technologies, to enhance decision-making processes across various contexts.

Education 🏫


Degree Major
Concentration Institution Date
Ph.D. Management Science Information Systems University of Texas at Dallas
(UT Dallas)
2025
(Expected)
Bachelor Management Information Management and Information Systems Shanghai University of Finance and Economics
(SUFE)
2019

Publications 📚


Working Papers ✍️

  • Yihong Liu, Sumit Sarkar, Syam Menon. “Recommending Teams in Online Communities”.
    • Under review in Management Science.
  • Pelin Atahan, Monica Johar, Yihong Liu, and Sumit Sarkar. “Composing Offer Sets to Maximize Expected Payoffs”.
    • Under revision based on feedback from journal submission.

Presentations 👥

  • Yihong Liu, Sumit Sarkar, and Syam Menon. ``Collaboration Recommendations in Online Platforms’’. Conference on Information Systems and Technology, Phoenix, U.S. 2023
  • Yihong Liu, Sumit Sarkar, and Syam Menon. ``An Incremental Approach to Team Formation’’. INFORMS Annual Meeting, Phoenix, U.S. 2023
  • Yihong Liu, Sumit Sarkar, and Syam Menon. ``Collaboration Recommendations for an Online Video Community’’. 19th Annual Big XII+ MIS Research Symposium, Richardson, U.S. 2023
  • Yihong Liu, Sumit Sarkar. ``Performance-Based Team Formation: Collaboration Recommendations in an Online Video Community’’. Workshop on Information Technology and Systems, Copenhagen, Denmark 2022
  • Yihong Liu. ``Performance-Based Team Formation: Collaboration Recommendations in an Online Video Community’’. INFORMS Annual Meeting, Indianapolis, U.S. 2022
  • Yihong Liu, Yang Bao, and Hui Fang. “SCNetworkViz: A Web-Based System for Interactive Visualization of Supply Chain Network”. Workshop on Information Technology and Systems, Santa Clara, CA, U.S. 2018. Demo website.

Teaching 🦉


As an educator, I draw inspiration from the profound impact teaching can have on shaping the future of students. Through my own educational journey, I have firmly embraced the belief that education serves as the key to unlocking a multitude of opportunities. Thus, as an educator, I am dedicated to equipping students with crucial IT skills and business knowledge for their academic and professional success.

Instructor at UT Dallas

YearSemesterSectionLevelClass TitleCreditModeEnrollSyllabusCourse
Excellence
(CE)
CE Dept.
Average
Instructor
Excellence
(IE)
IE Dept.
Average
Response
Rate
(RR)
RR Dept.
Average
Eval Report
2024SpringITSS3300.005.24SUGRDInformation Technology for Business3In-person65Link4.53/54.034.73/54.1047.69%27.63%Link
2023FallITSS3300.005.23FUGRDInformation Technology for Business3In-person63Link4.64/53.964.82/54.0936.51%28.31%Link
2022FallITSS3300.010.22FUGRDInformation Technology for Business3In-person56Link3.9/53.823.64/53.8535.71%26.37%Link

Graduate Teaching Assistant at UT Dallas

Since joining UT Dallas in 2019, I have served as a teaching assistant for nearly twenty courses, spanning bachelor to Ph.D. levels. I have experience in diverse modalities, including in-person, online, and hybrid formats.
The table below highlights some courses for which I was responsible:

YearSemesterSectionLevelClass TitleInstructorCreditModeTotal Enrollment
2024SummerITSS3390.5U1.24UUGRDWeb Design and Development for Business ApplicationsAngela Neal3In-person17
2024SummerITSS4330.5U1.24UUGRDSystems Analysis and DesignTaimur Khan3In-person49
2024SummerITss4352.5U1.24UUGRDIntroduction to Web AnalyticsAngela Neal3In-person35
2023SummerITSS4370.5U1.23UUGRDInformation Technology InfrastructureJohn Young3In-person50
2023SummerITSS4330.5U1.23UUGRDSystems Analysis and DesignTaimur Khan3In-person26
2023SummerBUAN6341.5U1.23UGRADApplied Machine LearningMuhammad Sabir3In-person10
2023SpringITSS4362.501.23SUGRDCybersecurity GovernanceTaimur Khan3In-person60
2023SpringITSS4330.501.23SUGRDSystems Analysis and DesignTaimur Khan3In-person60
2023SpringFIN6392.0W1.23SGRADFinancial Technology and BlockchainZhiqiang Zheng3Online34
2021SpringITSS4362.501.21SUGRDCybersecurity GovernanceTaimur Khan3In-person43
2021SpringITSS4330.501.21SUGRDSystems Analysis and DesignTaimur Khan3In-person52
2021SpringMECO6360.001.21SGRADTopics in Industrial OrganizationJianqing Chen3Online8
2021SpringBUAN6356.002.21SGRADBusiness Analytics With RJianqing Chen3Online12
2020FallITSS4320.002.20FUGRDIntroduction to Healthcare Information SystemsMark Moonesinghe3Online59
2020FallITSS4330.002.20FUGRDSystems Analysis and DesignTaimur Khan3Online56
2020FallITSS3300.014.20FUGRDInformation Technology for BusinessNorman Thompson3Hybrid65
2020SpringITSS3300.004.20SUGRDInformation Technology for BusinessPrakash Shrivastava3In-person60
2020SpringMIS6384.501.20SGRADPreparing for Cybersecurity ThreatsTejas Shroff3In-person15
2019FallMIS6363.001.19FGRADCloud ComputingLiugen Song3In-person46
2019FallMIS6313.MBP.19FGRADManaging IT in the Analytics AgeVijay Mookerjee3In-person56
2019FallMIS6204.591.19FGRADInformation Technology for ManagementVijay Mookerjee2In-person22

Undergraduate Teaching Assistant at SUFE

YearSemesterLevelClass TitleInstructorMode
2018AugustGRADBusiness Intelligence & Data AnalyticsBeibei LiIn-person
2018JulyGRADStatistical Theory of Deep LearningYe LuoIn-person

Recognition 🎀


  • Selection to Doctoral Consortium, International Conference on Information Systems, 2023 Participation Certificate
  • Finalist, The Three Minute Thesis Competition, UT Dallas, 2024
  • Outstanding Graduates of Shanghai, Shanghai Municipal Education Commission, 2019
  • Yinyu Ye Scholarship, SUFE, 2018
  • The Third Prize of People’s Scholarship, SUFE, 2017-2018 Semester
  • The Second Prize of People’s Scholarship, SUFE, 2016-2017 Semester
  • Excellent Learning Performance Prize, SUFE, 2016-2017 Semester
  • The Third Prize of People’s Scholarship, SUFE, 2015-2016 Semester

Certificates 📜


  • Certificate in Effective Teaching Practice Framework, Association of College and University Educators & American Council on Education, 2024 verification | info
  • Advanced Graduate Teaching Certificate, Center for Teaching and Learning, UT Dallas, 2023 info
  • Graduate Teaching Certificate, Center for Teaching and Learning, UT Dallas, 2021 info

Campus Talks 🎙️


Early Background 🍼


My interest in MIS sprouted in high school when I watched The Social Network, a movie about an undergraduate named Zuckerberg who revolutionized modern communication by building a social website. The innovative idea of employing information technology to link people online and make the world a big party motivated me to explore this field. Consequently, I acknowledged information technology as a challenging but influential field. I could utilize up-to-date technologies to discover the digital world and tackle critical issues encountered in various domains.

My interest in MIS continued to grow in my first undergraduate class in Machine Learning after I learned the power and commercial value of Facebook. Different unsupervised and supervised algorithms immediately captured my attention. I cannot help learning more in-depth algorithms and putting them into practice. As my undergraduate progressed, I enrolled in the School of Information Management and Engineering (SIME) Honors Program at Shanghai University of Finance and Economics (SHUFE). This program provided me with a higher-level curriculum (e.g., Linear and Nonlinear Programming, Advanced Operation Research, and Stochastic Processes).


The most valuable trait I learned from my undergraduate study is always maintaining a thirst for knowing more. When I practiced what I learned in lessons or tried out new skills from the latest research papers, I always found certain limitations of my current knowledge. My hungry mind encouraged me to discover more. My endeavor to review extensive literature, derive math formulas, and conduct experiments was worth the effort as I made continuous progress.

Besides the satisfaction I earned, I realize that MIS is not merely about programming and importing modules and packages. As the lifeblood of business, researchers in this field involve themselves in behavioral, technical, analytical, and empirical sub-problems by recognizing and conceptualizing critical key questions and employing various methodologies across disciplines.

Author

Yihong Liu

Posted on

2020-01-21

Updated on

2024-09-25

Licensed under