Research in Artificial Intelligence and Data Science
Machine Learning
Reinforcement Learning
Attention Networks
Experience Replay
Transfer Learning
Multi-Agent Reinforcement Learning
Big Data Analytics
Data Mining
Patterns of Human Collaboration
Human Organizations
Transportation Data
Social Network
AI & Ethics
Evaluation of Spatial Performance
Identifying Highly Dense Areas from Raw Location Data
Complexity Science for Urban Solutions
From Senseless Swarms to Smart Mobs
Probabilistic Modelling of Demographic Changes
Identification with Artificial Neural Models
Predicting Covid-19 Hotspots
Complexity Science-based Spatial Performance
Multi-Agent Reinforcement Learning
Multi-Sensor Big Data
Patterns of Human Collaboration: Social Network Analysis
Collective Learning
Multilayer Social Network Analaysis
Storage and Transfer Mechanism in Reinforcement Learning
Resilient Spatial Networks
Experience Replay Using Transition Sequences
Self-Organizing Maps in Reinforcement Learning
Spatial Super-Spreaders & Super-Susceptibles
Preprints
- From Consensus to Multi-Polarity: A Network Analysis of the Structural Transformation in the European Parliament
Lo Russo N, Sauser J, Carpentras D, Rondeau A, Wernli D, Helbing D & Bouffanais R
Preprint, 2026. [pdf] - Uncovering Higher-Order Interactions from Memory in Observed Dynamics
Rondeau A, Barrat A & Bouffanais R
arXiv preprint arXiv:2610.20095, 2026. [pdf] [doi] [web] - IntLawNER: A Named Entity Recognition Dataset and Benchmark in International Law
Skura G, Bouffanais R & Wernli D
arXiv preprint arXiv:2609.22529, 2026. [pdf] [doi] [web] - Aligning the Unseen in Attributed Graphs: Interplay between Graph Geometry and Node Attributes Manifold
Labarthe A, Bouffanais R & Randon-Furling J
arXiv preprint arXiv:2601.22806, 2026. [pdf] [doi] [web] - A Data Science Approach to Measure Gridlock in the United Nations Security Council from 1946 to 2024
Scherer D, Chopard B, Levrat N, Bouffanais R & Wernli D
SSRN preprint 5527746, 2025. [doi] [web]
Peer-Reviewed Publications
- Simulating Democratic Deliberation: Representing Pluralistic Preferences through Electoral Systems in Multi-Agent LLMs
Faulkner R, Szufa S, Hoyer D, Zhang TJ, Bouffanais R, Leibo JZ & Jin Z
EMNLP 2026, The 2026 Conference on Empirical Methods in Natural Language Processing, Oct 24–29, 2026, Budapest, Hungary, Accepted for Publication, 2026. [pdf] [web] - Predictive Analysis with Virtual Population
Bouffanais R, Malik M & Tünçer B
Chapter 7 in Data-Driven Smart Community Design (Ed. Chong KH), Routledge (Taylor & Francis), Pages 206–238, Print ISBN: 978-1-03-256921-5, 2024. [doi] [web] - A Sequential Deep Learning Algorithm for Sampled Mixed-integer Optimisation Problems
Chamanbaz M & Bouffanais R
Information Sciences (634), 73–84, 2023. [pdf] [doi] - Adaptivity: A Path Towards General Swarm Intelligence?
Kwa HL, Kit JL, Horsevad N, Philippot J, Savari M & Bouffanais R
Frontiers in Robotics and AI (10), 1163185, 2023. [pdf] [doi] - Multi-Target Pursuit by a Decentralized Heterogeneous UAV Swarm using Deep Multi-Agent Reinforcement Learning
Kouzehgar M, Song Y, Meghjani M & Bouffanais R
2023 IEEE International Conference on Robotics and Automation (ICRA), May 29–June 2, 2023, London, UK, pp. 3289–3295. [pdf] [doi] - Complexity Science for Urban Solutions
Srikanth ADS, Chin WCB, Bouffanais R & Schroepfer T
Chapter 3 in Artificial Intelligence in Urban Planning and Design (Eds. As I, Basu P & Talwar P), Elsevier, Pages 39–58, Print ISBN: 978-0-12-823941-4, 2022. [pdf] [doi] - Complexity Science-based Spatial Performance Analyses of UNStudio/DP Architects’ SUTD Campus and WOHA’s Kampung Admiralty
Srikanth ADS, Chin WCB, Bouffanais R & Schroepfer T
Chapter 12 in Artificial Intelligence in Urban Planning and Design (Eds. As I, Basu P & Talwar P), Elsevier, Pages 217–244, Print ISBN: 978-0-12-823941-4, 2022. [pdf] [doi] - A Framework for the Identification of Human Vertical Displacement Activity Based on Multi-Sensor Data
Manivannan A, Willemse EJ, Balamurali BT, Chin WCB, Zhou Y, Tünçer B, Barrat A & Bouffanais R
IEEE Sensors J. (22):8, 8011–8029, 2022. [pdf] [doi] - ‘Data dregs’ and its Implications for AI Ethics: Revelations From the Pandemic
Lim SS & Bouffanais R
AI and Ethics (2), 595–597, 2022. [pdf] [doi] - Connect or Adapt: Analytic Framework for the Planning and Design of Resilient Spatial Networks
Wong D, Chin WCB, Bouffanais R & Schroepfer T
Proceedings of the International Conference ARCC-EAAE 2022, pp. 225–233, March 2–5, Miami, FL, USA, 2022. [pdf] [web] - Evaluation of Spatial Performance in Vertically Integrated Developments Using a Network Science-Based Approach
Gopalakrishnan S, Hablani C, Wong D, Srikanth ADS, Manivannan A, Bouffanais R & Schroepfer T
Proceedings of the International Conference ARCC-EAAE 2022, pp. 391–398, March 2–5, Miami, FL, USA, 2022. [pdf] [web] - The Effect of Network Connectivity on Exploration and Exploitation During Decentralized Collective Learning
Kwa HL & Bouffanais R
4th International Workshop on Agent-Based Modelling of Human Behaviour (ABMHuB’22), online, 2022. [pdf] [web] - Interplay Between Success and Patterns of Human Collaboration: Case Study of a Thai Research Institute
Fiscarelli AM, Brust MR, Bouffanais R, Piyatumrong A, Danois G & Bouvry P
Scientific Reports (11), 318, 2021. [pdf] [doi] - Probabilistic Modelling of Demographic Changes in Singapore’s Neighbourhoods
Barakatullah MM, Willemse EJ, Tunçer B & Bouffanais R
WMCAUS 2021, 6th World Multidisciplinary Civil Engineering, Architecture: Urban Planning Symposium (1203), 03, 2021. [pdf] [doi] - Tracking Multiple Fast Targets With Swarms: Interplay Between Social Interaction and Agent Memory
Kwa HL, Kit JL & Bouffanais R
Proceedings of the ALIFE 2021: The 2021 Conference on Artificial Life, July 19–23, 2021, online, pp. 62–71, MIT Press. [pdf] [doi] - User-Driven Emergent Patterns of Space Use in Vertically Integrated Urban Environments
Gopalakrishnan S, Wong D, Manivannan A, Bouffanais R & Schroepfer T
Proceedings of the International Conference ARCC 2021, pp. 215–222, April 7–10, Tucson, AZ, USA, 2021. [pdf] [web] - Mapping Emergent Patterns of Movement and Space Use in Vertically Integrated Urban Developments
Gopalakrishnan S, Wong D, Manivannan A, Bouffanais R & Schroepfer T
Int. Symposium for Architecture + Urban Design simAUD 2021, pp. 1–4, April 15–17, online, 2021. [pdf] [web] - Cities – Try to Predict Superspreading Hotspots for COVID-19
Bouffanais R & Lim SS
Nature (583), 352–355, 2020. [pdf] [doi] - Spatial Super-spreaders and Super-susceptibles in Human Movement Networks
Chin WCB & Bouffanais R
Scientific Reports (10), 18642, 2020. [pdf] [doi] - Multi-Agent Reinforcement Learning for Dynamic Ocean Monitoring by a Swarm of Buoys
Kouzehgar M, Meghjani M & Bouffanais R
IEEE/MTS Global Oceans 2020: Singapore – U.S. Gulf Coast, October 5–30, 2020, online, pp. 9–17. [pdf] [doi] - Self-Organizing Maps for Storage and Transfer of Knowledge in Reinforcement Learning
Karimpanal TG & Bouffanais R
Adaptive Behavior (27):2, 111–126, 2019. [pdf] [doi] - From Senseless Swarms to Smart Mobs: Tuning Networks for Prosocial Behavior
Lim SS & Bouffanais R
IEEE Technology and Society Magazine (38):4, 17–19, 2019. [pdf] [doi] - Data Assimilation Method to De-noise and De-filter PIV Data
Gillissen JJJ, Bouffanais R & Yue DKP
J. Fluid Mech. (877), 196–213, 2019. [pdf] [doi] - Hydrodynamic Object Identification using Artificial Neural Models
Lakkam S, Balamurali BT & Bouffanais R
Scientific Reports (9), 11242, 2019. [pdf] [doi] - Identifying Highly Dense Areas from Raw Location Data
Willemse EJ, Tunçer B & Bouffanais R
CAADRIA 2019, 24th International Conference of the Association for Computer-Aided Architectural Design Research in Asia (2), pp. 805–814, 2019. [pdf] [web] - Are the Different Layers of a Social Network Conveying the Same Information?
Manivannan A, Yow WQ, Bouffanais R & Barrat A
EPJ Data Science (7), 34, 2018. [pdf] [doi] - Experience Replay Using Transition Sequences
Karimpanal TG & Bouffanais R
Frontiers in Neurorobotics (12), 32, 2018. [pdf] [doi] - Self-Organizing Maps as a Storage and Transfer Mechanism in Reinforcement Learning
Karimpanal TG & Bouffanais R
ALA 2018, Federated AI Meeting, Adaptive and Learning Agents Workshop, July 14–15, 2018, Stockholm, Sweden, pp. 1–7, 2018. [pdf] [web]
Op-Eds
- Counting the Costs of US-China Technology Decoupling
Bouffanais R & Lim SS
Asia Global (Hong Kong), December 22, 2022. [pdf] [web] - Computational Diplomacy – The Science of an Art?
Bouffanais R & Lim SS
The Interpreter (Australia), Sep 15, 2022. [pdf] [web] - Fighting for Data Dregs – And Losing the Fight Against Digital Violence
Lim SS & Bouffanais R
Asia Global (Hong Kong), May 26, 2022. [pdf] [web] - A Sustainable Alternative to Blanket Lockdowns
Lim SS & Bouffanais R
Scientific American (U.S.), Computing Opinion, Oct 22, 2020. [pdf] [web] - How Cities Can Avoid Costly Lockdowns with Smart Use of Big Data
Lim SS & Bouffanais R
South China Morning Post (Hong Kong), September 11, 2020. [pdf] [web] - Confronting Viral Resurgences: Are Lockdowns the Only Solution?
Bouffanais R & Lim SS
Asia Global (Hong Kong), September 3, 2020. [pdf] [web] - How to Fight Fake News: Tech Has the Answers
Lim SS & Bouffanais R
The Straits Times (Singapore), July 9, 2019. [pdf] [web] - IA, Big Data, IoT… Plaidoyer pour la Création de Conseils Nationaux d’Éthique Numérique
Bouffanais R & Lim SS
La Tribune (France), January 13, 2019. [pdf] [web] - The Science and Sensibilities of Smart Cities
Lim SS & Bouffanais R
Asia Global (Hong Kong), August 9, 2018. [pdf] [web] - Keep an eye on AI and Big Data
Bouffanais R & Lim SS
The Business Times (Singapore), July 3, 2018. [pdf] [web] - Smart Rules Needed to Govern Smart Lamp Posts
Lim SS & Bouffanais R
The Straits Times (Singapore), April 19, 2018. [pdf] [web]
Complete publication list in PDF [here]
