David R. Ramamonjisoa

David R. Ramamonjisoa

Associate Professor (准教授)

Faculty of Software and Information Science
Iwate Prefectural University (IPU), Japan

About

"Where there's a will, there's a way."

I am an Associate Professor in the Faculty of Software and Information Science at Iwate Prefectural University (IPU), Japan. My research spans artificial intelligence, machine learning, and data science — with a current focus on knowledge discovery from text and time-series data, and multi-agent systems built on large language models (LLMs).

I supervise undergraduate (B3, B4) and graduate students in projects at the intersection of AI and information science. My laboratory was established officially in 2019.

Note: I do not maintain personal social media accounts. For professional information please see my ResearchGate or DBLP pages.

Research Interests

  • Multi-Agent Systems with LLMs & Diffusion Models — Coordination, cooperation, and emergent behaviour of LLM-based agents
  • Data Analysis & Knowledge Mining — Time-series forecasting, topic modelling, social media comment analysis
  • Natural Language Processing — Document classification, sentiment filtering, question-answering systems
  • Deep Learning — Transformers, BERT, attention mechanisms, transfer learning
  • Information Retrieval & Knowledge Representation — Ontologies, semantic web, topic maps

Full Research Page

Detailed Research Topics

Selected Recent Publications

  1. David Ramamonjisoa. "The Intertwined Fates of Human and Artificial Agents: Navigating the Evolving Landscape of LLM-Driven Agents." Glovento Journal of Integrated Studies, January 2025.
  2. David Ramamonjisoa, Shuma Suzuki. "Comments Analysis in Social Media Based on LLM Agents." CS & IT Conference Proceedings, vol. 14, no. 10, AIRCC, 2024. [PDF]
  3. David Ramamonjisoa, Hidemaru Iguma, Riki Murakami. "Filtering Relevant Comments in Social Media Using Deep Learning." In Proc. IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT'22), pp. 335–340, Niagara Falls, Ontario, Canada, November 2022. DOI: 10.1109/WI-IAT55865.2022.00056
  4. David Ramamonjisoa. "Comparison of Two Forecasting Methods in Time Series Data with Seasonality." In Proc. 18th International Conference e-Society, Sofia, Bulgaria, April 2020.
  5. David Ramamonjisoa, Yoshiki Sato. "Analysis of the Nikkei 225 Index and Future Prediction." In Proc. 13th IADIS International Conference on Advanced Digital Information Systems, Budapest, April 2017.
  6. David Ramamonjisoa. "Aggregating and Analyzing Articles and Comments on a News Website." In New Frontiers in Artificial Intelligence (JSAI-isAI 2015 Workshops), Springer LNAI, pp. 428–441, 2016. [preprint]

Full List of Publications

Teaching

Lab & Lecture Homepage

Laboratory Members

Current Students (2025–2026)

YearName
B4Shinohe Kirito (篠辺暉仁), Nakano Daiki (中野大樹)
B3Itoh Seina (伊藤聖菜), Kudo Kazuki (工藤和輝), Miyakoshi Eiichi (宮腰永一)

Alumni (OB/OG)

GraduationName
2025Kawamura Naoki (川村直希), Suzuki Shuma (鈴木朱馬)
2024Eguro Yuta (江黒勇太), Sugo Keisuke (須郷圭輔)
2023Takechi Shiun (竹知詩雲), Saitoh Rina (齋藤里菜), Seto Yu (瀬戸悠)
2022Ikuma Hideki (生熊英樹), Abe Touma (阿部冬真)

Contact

Email: david@iwate-pu.ac.jp

Faculty of Software and Information Science
Iwate Prefectural University
152-52 Sugo, Takizawa, Iwate 020-0693, Japan