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 ,

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Education 🎓📚

  • 📍 Ph.D. Candidate in Computer Science – ITESM (Instituto TecnolĂłgico y de Estudios Superiores de Monterrey), Campus Estado de MĂ©xico
    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 đŸ§‘â€đŸ«đŸ’Œ

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 GarcĂ­a Flores and Dr. Joseph Le Roux, collaborating remotely with UniversitĂ© 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.

Prof. Yiyang Ni | Next-Gen Comms | Best Researcher Award

Prof. Yiyang Ni | Next-Gen Comms | Best Researcher Award

Prof. Yiyang Ni, Jiangsu Second Normal University, China

Prof.  Ni Yiyang is the Vice Dean of the School of Computer Engineering at Jiangsu Second Normal University. A member of the Communist Party of China, she completed her Ph.D. in Communication and Information Systems at Nanjing University of Posts and Telecommunications in April 2016. Yiyang is recognized for her contributions to intelligent communication and resource allocation in the Internet of Vehicles. With extensive academic involvement, she has also served as a postdoctoral researcher and lecturer, making significant strides in her field through various research projects and publications.

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Suitability of Prof. Yiyang Ni for the Research for Best Researcher Award

Prof. Yiyang Ni is a distinguished female researcher in the field of communication engineering, whose contributions significantly align with the objectives of the Research for Best Researcher Awards. Her academic background, robust research agenda, and leadership roles position her as an exemplary candidate for this honor.

Education 

Prof. Yiyang Ni’s academic journey began at Nanjing University of Posts and Telecommunications, where she earned her Bachelor’s Degree in Communication Engineering in June 2008. She continued her studies at the same institution, pursuing a Master-Doctoral Program in Communication and Information Systems. Under the mentorship of Advisor Zhang Naitong, she successfully obtained her Ph.D. in April 2016. Her education laid a robust foundation for her future research endeavors, particularly in intelligent communication technologies.

Experience 

Prof. Yiyang Ni has accumulated diverse teaching and research experiences since 2008. She started as a Teaching Assistant at Nanjing University, progressing to Lecturer and Associate Professor roles at Jiangsu Second Normal University from April 2016 to May 2022. Currently, as Vice Dean, she plays a pivotal role in the School of Computer Engineering. Additionally, since January 2019, she has been involved in postdoctoral research, focusing on innovative communication systems and leading several significant research projects in her field.

Awards and Honors 

Prof. Yiyang Ni has received numerous accolades throughout her career, reflecting her exceptional contributions to the field of communication. Notable awards include the Second Prize for her IoT Intelligent Management System at the China Communication Society’s Science and Technology Award (2021) and the First Prize at the Jiangsu Information and Communication Industry Science and Technology Award (2021). Her innovative projects have garnered recognition, including the Second Prize for Key Technologies in Edge Networks from the China Institute of Electronics in 2021.

Research Focus 

Prof. Yiyang Ni’s research interests lie at the intersection of intelligent communication, wireless communication, and resource allocation within the Internet of Vehicles. She leads various ongoing projects aimed at developing cutting-edge communication technologies, including the integration of industrial Internet systems and the study of intelligent wireless communication theories for future networks. Her contributions to terahertz communication and device-to-device technologies are particularly noteworthy, advancing the understanding and application of these crucial areas in modern communication systems.

Publiaction Top Notes

  1. Title: Blockchain for the IoT and industrial IoT: A review
    Citation: 415
  2. Title: Beamforming and interference cancellation for D2D communication underlaying cellular networks
    Citation: 56
  3. Title: Performance Analysis for RIS-Assisted D2D Communication Under Nakagami-Fading
    Citation: 44
  4. Title: Energy efficiency and spectrum efficiency in underlay device-to-device communications enabled cellular networks
    Citation: 40
  5. Title: Weighted adaptive KNN algorithm with historical information fusion for fingerprint positioning
    Citation: 31