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
Resilient Spatial Networks
Complexity Science-based Spatial Performance
From Senseless Swarms to Smart Mobs
Identification with Artificial Neural Models
Multi-Agent Reinforcement Learning
Identifying Highly Dense Areas from Raw Location Data
AI & Ethics
Collective Learning
Experience Replay Using Transition Sequences
Storage and Transfer Mechanism in Reinforcement Learning
Complexity Science for Urban Solutions
Spatial Super-Spreaders & Super-Susceptibles
Evaluation of Spatial Performance
Multi-Sensor Big Data
Self-Organizing Maps in Reinforcement Learning
Patterns of Human Collaboration: Social Network Analysis
Multilayer Social Network Analaysis
Probabilistic Modelling of Demographic Changes
Predicting Covid-19 Hotspots
Peer-Reviewed Publications
- 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, Tunçer B, Barrat A & Bouffanais R
IEEE Sensors J. (22):8, 8011-8029, 2022. [pdf] [doi] - The Effect of Network Connectivity on Exploration and Exploitation During Decentralized Collective Learning
Kwa HL & Bouffanais R
Proceedings of the 4th International Workshop on Agent-Based Modelling of Human Behaviour
(ABMHuB’22), online, 2022. [pdf] [web] - Complexity Science for Urban Solutions
Srikanth ADS, Chin WCB, Bouffanais R, Schroepfer T
Chapter 3: In Artificial Intelligence in Urban Planning and Design (Eds. I. As and P. Basu and P. Talwar), Elsevier, pp. 39-58, Print ISBN: 78-0-12-823941-4, 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. I. As and P. Basu and P. Talwar), Elsevier, pp. 217-244, Print ISBN: 78-0-12-823941-4, 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
Golapakrishnan S, Hablani C, Wong D, Srikanth AD, 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] - ‘Data dregs’ and its Implications for AI Ethics: Revelations From the Pandemic
Lim SS & Bouffanais R
AI & Ethics (1), In Press, 2022. [pdf] [doi] - 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 Multi-disciplinary Civil Engineering, Architecture: Urban Planning Symposium, June 14-18, Prague, Czech Republic, (1203), 032032, 2021. [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, April 7-10, Tucson, AZ, pp. 215-22, 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, April 15-17, online, pp. 1-4, 2021. [pdf] [web] - Cities – Try to Predict Superspreading Hotspots for COVID-19
Bouffanais R & Lim SS
Nature (583), 352-355, 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, Oct 5-30, online, pp. 9-17, 2020. [pdf] [doi] - Spatial Super-spreaders and Super-susceptibles in Human Movement Networks
Chin WCB & Bouffanais R
Scientific Reports (10), 18642, 2020. [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] - Self-Organizing Maps for Storage and Transfer of Knowledge in Reinforcement Learning
Karimpanal TG & Bouffanais R
Adaptive Behavior (27), 111-126, 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] - Identifying Highly Dense Areas from Raw Location Data
Willemse EJ, Tunçer B & Bouffanais R
Proceedings of the 24th International Conference on Computer-Aided Architectural Design Research in Asia (CAADRIA 2019), Auckland, New Zealand, 805-814, 2019. [pdf] - Hydrodynamic Object Identification with Artificial Neural Models
Lakkam S, Balamurali BT & Bouffanais R
Scientific Reports (9), 11242, 2019. [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
Adaptive Learning Agents (ALA-AAMAS 2018), Stockholm, Sweden, 1-6, 2018. [pdf] - 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]
Op-Eds
- Fighting for Data Dregs – And Losing the Fight Against Digital Violence
S. S. Lim & R. Bouffanais, Asia Global (Hong Kong), May 26, 2022. [pdf] [web] - How Cities Can Avoid Costly Lockdowns with Smart Use of Big Data
S. S. Lim & R. Bouffanais, South China Morning Post (Hong Kong), September 11, 2020. [pdf] [web] - Confronting Viral Resurgences: Are Lockdowns the Only Solution?
R. Bouffanais & S. S. Lim, Asia Global (Hong Kong), September 3, 2020. [pdf] [web] - IA, Big Data, IoT… Plaidoyer pour la Création de Conseils Nationaux d’Éthique Numérique
R. Bouffanais & S. S. Lim, La Tribune (France), January 13, 2019. [pdf] [web] - The Science and Sensibilities of Smart Cities
S. S. Lim & R. Bouffanais, Asia Global (Hong Kong), August 9, 2018. [pdf] [web] - Keep an Eye on AI and Big Data
R. Bouffanais & S. S. Lim, The Business Times (Singapore), July 3, 2018. [pdf] [web]
Complete publication list in PDF [here]
