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
Selected Recent Publications
- 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.
- David Ramamonjisoa, Shuma Suzuki. "Comments Analysis in Social Media Based on LLM Agents." CS & IT Conference Proceedings, vol. 14, no. 10, AIRCC, 2024. [PDF]
- 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
- David Ramamonjisoa. "Comparison of Two Forecasting Methods in Time Series Data with Seasonality." In Proc. 18th International Conference e-Society, Sofia, Bulgaria, April 2020.
- 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.
- 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]
Teaching
Laboratory Members
Current Students (2025–2026)
| Year | Name |
|---|---|
| B4 | Shinohe Kirito (篠辺暉仁), Nakano Daiki (中野大樹) |
| B3 | Itoh Seina (伊藤聖菜), Kudo Kazuki (工藤和輝), Miyakoshi Eiichi (宮腰永一) |
Alumni (OB/OG)
| Graduation | Name |
|---|---|
| 2025 | Kawamura Naoki (川村直希), Suzuki Shuma (鈴木朱馬) |
| 2024 | Eguro Yuta (江黒勇太), Sugo Keisuke (須郷圭輔) |
| 2023 | Takechi Shiun (竹知詩雲), Saitoh Rina (齋藤里菜), Seto Yu (瀬戸悠) |
| 2022 | Ikuma 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