Xitong Li | Human-AI | Best Researcher Award

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Prof. Xitong Li | Human-AI | Best Researcher Award

Professor, HEC Paris, France

Prof. Xitong Li is a distinguished professor at HEC Paris, specializing in human-AI interaction, digital economy, social computing and computational social science. He holds dual Ph.D. degrees: one in Management with a specialization in Information Systems from MIT Sloan School of Management (2014) and another in Control Science and Engineering with a focus on Software Engineering from Tsinghua University, China (2010), along with a B.S. in the same field from Tsinghua University (2004). Over his academic career, he has held positions ranging from Assistant Professor (2014–2018) and Associate Professor with tenure (2019–2022) to Professor (2023–present) at HEC Paris and currently serves as a Research Fellow at Hi! PARIS, a joint research center with the Polytechnic Institute of Paris. Prof. Xitong Li’s research interests encompass applied econometrics, field and laboratory experiments, system design, development of AI-supported applications and studying the economics and societal impact of AI. He has led numerous international and national research projects, including ANR AAPG France, LABEX ECODEC initiatives and HEC Foundation-funded studies, demonstrating strong leadership and collaboration capabilities. His research output includes over 60 publications, with 1,397 citations and an h-index of 20, featured in top-tier journals and conferences such as IEEE Transactions, MIS Quarterly, and ICIS. Prof. Xitong Li has held senior editorial roles, including Senior Editor at Production and Operations Management and Associate Editor at Information Systems Research and has contributed to multiple special issues in leading journals. His teaching portfolio spans Data Science, Business Analytics, Decision Modeling and Digital Management courses, alongside guest lectures at international institutions. Recognized with awards such as the INFORMS ISS Sandy Slaughter Early Career Award (2022), HEC Foundation Researcher of the Year (2023) and inclusion among the Top 10 Chinese Tech Leaders in Europe (2025), Prof. Xitong Li combines research excellence, mentorship and societal impact. With his pioneering work and ongoing international collaborations, he is poised to further advance human-AI research, elevate academic standards globally and mentor the next generation of leaders in the digital economy and AI-driven innovation.

Profile: Scopus | ORCID | Google Scholar | ResearchGate | LinkedIn | X.ComGoogle Sites | HEC Paris

Featured Publications

Li, X., & Wu, L. (2018). Herding and social media word-of-mouth: Evidence from Groupon. MIS Quarterly, 42(4), 1331–1351.

Hu, X., Li, X., Ngai, E. C. H., Leung, V. C. M., & Kruchten, P. (2014). Multidimensional context-aware social network architecture for mobile crowdsensing. IEEE Communications Magazine, 52(6), 78–87.

You, S., Yang, C. L., & Li, X. (2022). Algorithmic versus human advice: Does presenting prediction performance matter for algorithm appreciation? Journal of Management Information Systems, 39(2), 336–365.

Deng, S., Wang, D., Li, X., & Xu, G. (2015). Exploring user emotion in microblogs for music recommendation. Expert Systems with Applications, 42(23), 9284–9293.

Li, X., Grahl, J., & Hinz, O. (2022). How do recommender systems lead to consumer purchases? A causal mediation analysis of a field experiment. Information Systems Research, 33(2), 620–637.

 

Gerardo Aleman Manzanarez | Human-Computer Interaction | Best Researcher Award

Mr. Gerardo Aleman Manzanarez | Human-Computer Interaction | Best Researcher Award

Gerardo Aleman Manzanarez at Instituto Tecnologico y de Estudios Superiores de Monterrey, Mexico.

Mr. Gerardo Aleman Manzanarez, Ph.D. (c), is a veteran technologist, researcher, and academic in the fields of Computer Science, Artificial Intelligence, and Natural Language Processing (NLP). With over 30 years of experience in software development and 20+ years in Business Intelligence (BI) including Data Warehousing, ETL, and ERP systems, he bridges enterprise software engineering with advanced AI research. His current work centers on AI-generated creative writing, particularly automated Spanish microfiction using deep learning and NLG models. Mr. Aleman is actively affiliated with leading academic and research institutions in Mexico and France.

Professional Profile ,

Orcid

Google Scholar

Education 🎓📚

  • 📍 Ph.D. Candidate in Computer Science – ITESM (Instituto Tecnológico y de Estudios Superiores de Monterrey), Campus Estado de México
    Research Focus: Natural Language Generation and AI-based microfiction writing

  • 📍 Master’s in Computer Science – ITESM

  • 📍 Master’s in Business Administration (MBA) – ITESM

  • 📍 Bachelor’s in Computer Science – ITESM

Professional Experience 🧑‍🏫💼

Mr. Aleman has led full-cycle software projects for 30+ years across private and academic sectors. His core competencies include:

  • 20 years in Business Intelligence: Data Warehousing, ETL pipelines, analytics, and reporting systems.

  • 8 years in ERP software development: Integrating business logic into scalable platforms.

  • NLP + AI development: Designing a pioneering system capable of generating Spanish-language literary microfictions using deep learning.

He is currently conducting Ph.D. research under the guidance of Dr. Jorge García Flores and Dr. Joseph Le Roux, collaborating remotely with Université Sorbonne Paris Nord and the Laboratoire d’Informatique Paris Nord (LIPN).

Research Interest 🔬📈

  • Natural Language Processing (NLP)

  • Natural Language Generation (NLG)

  • Deep Learning in Literature

  • Evaluation Protocols for AI-generated Text

  • Data Warehousing & Business Intelligence

  • AI for Creativity & Humanities

Publications Top Noted

  • Can Artificial Intelligence Write Like Borges? An Evaluation Protocol for Spanish Microfiction
    Applied Sciences, 2025-06-17
    DOI: 10.3390/app15126802
    (Also published on arXiv: 2506.08172)

  • Introducing GrAImes: A Literary Quality Evaluation Protocol for AI Generated Microfictions
    Preprints, 2025-04-22
    DOI: 10.20944/preprints202504.1851.v1

Conclusion 🌟🎯

Mr. Gerardo Aleman Manzanarez is highly suitable for the Best Researcher Award in Human-Computer Interaction. His exceptional career trajectory—from enterprise systems to AI-driven creative cognition—demonstrates a visionary commitment to advancing how humans and machines communicate, understand, and co-create. With continued research dissemination and end-user focus, he is poised to make lasting contributions to the HCI field both in academia and beyond.