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Neural and Cognitive Computing @ SMU is an AI research group focused on brain-inspired and cognitively grounded intelligence. We explore biologically inspired neural models with high level human-like cognitive capabilities and behaviors, drawing on insights from neuroscience and psychology to build adaptive, explainable intelligent systems.
Neural and Cognitive Computing @ SMU is an AI research group focused on brain-inspired and cognitively grounded intelligence. We explore biologically inspired neural models with high level human-like cognitive capabilities and behaviors, drawing on insights from neuroscience and psychology to build adaptive, explainable intelligent systems.
We focus on
We focus on
BRAIN-INSPIRED COGNITIVE AND NEURAL SYSTEMS
Biologically-inspired cognitive architecture is used to organize and direct information processing in neural network models. Specifically, the interaction between working memory, episodic memory, and semantic memory, inspired by psychological and biological discoveries, enables learning and integrated information processing in embodied intelligent agents. In our cognitive architecture inspired efforts, we have codified and computationalized these processes and applied them to various single and multi-agent intelligent systems. Self-awareness in intelligent agents is also an important aspect of cognitively-inspired adaptive systems, which forms part of our research focus.
TRANSLATIONAL PROJECTS ON ASSISTIVE TECHNOLOGIES FOR AGING IN PLACE
Our recent projects related to assistive technologies for supporting aging in place have been focusing on the sensing and modelling of elderly’s in-home activities for cognitive health assessment. Under the Sensor In-Home for Elderly Wellbeing (SINEW) project, in collaboration with Sengkang General Hospital, we have deployed non-intrusive sensors to over 100 homes for monitoring the activities and cognitive health of elderly living on their own. Based on the digital biomarkers extracted from the sensor data, our predictive models, based on fusion ART, are able to achieve high predictive accuracy, outperforming state-of-the-art machine learning models
News
[2025/12] Congratulations to the iCGF project team for their paper on MEASE: Multi-agent Episodic Action Sequence Explanation accepted by the 25th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2026), which will be held on May 25-29, 2026 in Paphos, Cyprus.
[2025/12] Congratulations to the South-Central Minzu University (SCMU) team (Hebin, Renke, and Prof Kang) for their paper on Synthesis and Evaluation of Long-term History-aware Medical Dialogue accepted by the 25th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2026), which will be held on May 25-29, 2026 in Paphos, Cyprus.
[2025/12] Ah-Hwee Tan presented a keynote talk on Explainable AI Predictive Models for In-Home Mild Cognitive Impairment (MCI) Detection at the International Forum on Intelligent Medical Engineering (IME) 2025 on December 15, 2025.
[2025/12] Congratulations to the SINEW project team for their paper on Interpretable Machine Learning for Personalized Profiling of Mild Cognitive Impairment from Daily Activities accepted by International Conference on Health Informatics (HEALTHINF 2026), which will be held in Marbella, Spain on March 2-4, 2026.
[2025/12] Congratulations to Minghong for successfully completing his PhD defense at SCIS/SMU!!!
[2025/11] Congratulations to the SINEW project team for their paper on Interpretable Machine Learning for In-Home Mild Cognitive Impairment Detection accepted by Thirty-Eighth Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-26), which will be held in Singapore EXPO on January 20-27, 2026.
[2025/11] Congratulations to Cassandra for her paper on ARTEM: Enhancing Large Language Model Agents with Spatial-Temporal Episodic Memory accepted by Fortieth AAAI Conference on Artificial Intelligence (AAAI-26), which will be held in Singapore EXPO on January 20-27, 2026.
[2025/11] Congratulations to the South-Central Minzu University (SCMU) team (Renke, Hebin, and Prof Kang) for their paper on MemoryART: Enhancing LLMs via Multi-Memory Models with Adaptive Resonance Theory for Healthcare Agents accepted by Fortieth AAAI Conference on Artificial Intelligence (AAAI-26), which will be held in Singapore EXPO on January 20-27, 2026.
[2025/10] The SINEW project has been selected for presentation at the launch of the Alice Lee Innovation Centre of Excellence at Sengkang General Hospital (ALICE@SKH) on 30 October 2025.
[2022/10] Congratulations to Shubham for winning the SMU Research Staff Excellence Award 2025!!!
[2025/09] Ah-Hwee Tan presented a technical talk In-Home Sensing and Explainable Predictive Models for Detection of Mild Cognitive Impairment (MCI) at the SingHealth Duke-NUS Scientific Congress 2025 on 19 September 2025.
[2025/07] Congratulations to Minghong for winning the SMU Presidential Doctoral Fellowship in Computing in Academic Year 2025/2026!!!
[2025/07] Our SINEW project has been featured in an article Smart sensors used to detect cognitive decline in seniors who live alone published in The Straits Times on 7 July 2025.
[2025/05] Congratulations to Budhi and Shantho for their paper on Relation Prediction in Knowledge Graphs: A Self-Organizing Neural Network Approach accepted by Neural Networks journal.
[2025/05] Congratulations to Budhi and Shantho for their paper on DisambiguART: A Neural-based Inference Model for Knowledge Graph Disambiguation accepted by ACM TKDD journal.
[2025/04] Congratulations to Minghong for his paper on L2M2: A Hierarchical Framework Integrating Large Language Model and Multi-agent Reinforcement Learning accepted for presentation at 34th International Joint Conference on Artificial Intelligence (IJCAI 2025), Montreal, Canada, Aug 16 - Aug 22, 2025 and Guangzhou, China, Aug 28 - Aug 31, 2025.
[2025/02] Congratulations to Minghong for his paper on Hierarchical Frameworks for Scaling-up Multi-agent Coordination accepted for presentation at 24th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2025), Detroit, USA, May 19 - May 23, 2025.
[2024/12] Congratulations to Minghong for his paper on MOSMAC: A Multi-agent Reinforcement Learning Benchmark on Sequential Multi-Objective Tasks accepted for presentation at 24th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2025), Detroit, USA, May 19 – May 23, 2025.
[2024/10] Congratulations to Shubham for his paper on FedART: A Neural Model Integrating Federated Learning and Adaptive Resonance Theory accepted by Neural Networks Journal.
[2024/10] Congratulations to Budhi for his paper on Self-Supervised Fine-tuning for Neural Expert Finding accepted by 2024 IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT 2024).
[2024/04] Congratulations to Minghong for his paper on HiSOMA: A Hierarchical Multi-Agent Model Integrating Self-Organizing Neural Networks with Multi-Agent Deep Reinforcement Learning accepted by Expert Systems with Applications Journal.
[2024/03] Congratulations to Doudou for her paper on FedSTEM-ADL: A Federated Spatial-Temporal Episodic Memory Model for ADL Prediction accepted for presentation at IEEE World Congress on Computational Intelligence (IEEE WCCI 2024), Yokohama, Japan, 30 June - 5 July 2024.
[2024/03] Congratulations to the SINEW team for the paper on Predicting Mild Cognitive Impairment through Ambient Sensing and Artificial Intelligence accepted for presentation at 2nd IEEE International Conference on Artificial Intelligence (CAI 2024), Singapore, 25-27 June 2024.
[2024/01] Congratulations to Minghong for his paper on Scaling up Cooperative Multi-agent Reinforcement Learning Systems accepted by AAMAS 2024 Doctoral Consortium.
[2023/12] Congratulations to Budhi for his paper on Machine Learning for Refining Knowledge Graphs: A Survey, accepted for publication in ACM Computing Surveys.
[2023/12] Congratulations to Minghong for his paper on Benchmarking MARL on Long Horizon Sequential Multi-Objective Tasks accepted by AAMAS 2024.
[2023/12] Congratulations to Khaing for her paper on Explaining Sequences of Actions in Multi-agent Deep Reinforcement Learning Model accepted by AAMAS 2024.
[2023/04/30]: Congratulations to Zhaoxia for her paper on Learning-based stock trending prediction by incorporating technical indicators and social media sentiment has been accepted by Cognitive Computation.
[2023/04/30]: Congratulations to Jingfeng for his paper on Survey on sentiment analysis: evolution of research methods and topics has been accepted by Artificial Intelligence Review.
[2023/04/30]: Congratulations to Zhaoxia for her paper on MiMuSA—mimicking human language understanding for fine-grained multi-class sentiment analysis has been accepted by Neural Computing and Applications.
[2023/01/17]: Congratulations to Shubham for his paper on Value-based Subgoal Discovery and Path Planning for Reaching Long-Horizon Goals accepted by IEEE Transactions on Neural Networks and Learning Systems.
[2023/01/04]: Congratulations to Khaing for her paper on Towards Explaining Sequences of Actions in Multi-Agent Deep Reinforcement Learning Model accepted by The 22nd International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2023).
[2022/12/30]: Congratulations to Zhenda for his paper on MSRL-Net: A Multi-level Semantic Relation-enhanced Learning Network for Aspect-Based Sentiment Analysis accepted by Expert Systems with Applications.
[2022/12/28]: Congratulations to Zhenda for his paper on Aspect Sentiment Triplet Ex-traction Incorporating Syntactic Constituency Parsing Tree and Commonsense Knowledge Graph published by Cognitive Computation. [PDF & Code]
[2022/9/30]: Congratulations to Budhi for winning the inaugural SMU Research Staff Excellence Award 2022!
[2022/9/11]: Congratulations to Lincoln for his paper on EEG-Video Emotion-based Summarization: Learning with EEG Auxiliary Signals accepted by IEEE Transactions on Affective Computing.
Congratulations to Seng Khoon for his paper on Predictive Self-Organizing Neural Networks for In-Home Detection of Mild Cognitive Impairment accepted by Expert Systems With Applications.
Congratulations to Tianze for his paper on Real-time Hierarchical Map Segmentation for Coordinating Multi-Robot Exploration accepted by IEEE Access.
Congratulations to Hu Yue for his paper on Spatio-Temporal Episodic Memory for Identifying Asymptomatic COVID-19 Cases accepted by Neural Computation and Applications.
2022 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2022) [Link] will be held in Singapore on December 4-7, 2022.
Budhi's paper on Hierarchical Control of Multi-Agent Reinforcement Learning Team in Real-Time Strategy (RTS) Games has been published online by Expert Systems With Applications. [PDF]
Zhenda's paper on Stock Market Trend Forecasting Based on Multiple Textual Features: A Deep Learning Method has been accepted by the 33rd IEEE International Conference on Tools with Artificial Intelligence, [Link]
Ah-Hwee Tan has been conferred the inaugural Jubilee Technology Fellowship for his work on AI and Cognitive Computing (2021-2024)
Hu Yue's paper on Vision-based Topological Mapping and Navigation with Self-Organizing Neural Networks has been accepted by IEEE Transactions on Neural Networks and Learning Systems. [PDF]
Shubham Pateria's paper on End-to-End Hierarchical Reinforcement Learning with Integrated Subgoal Discovery has been accepted by IEEE Transactions of Neural Networks and Learning Systems. [PDF]
Shubham Pateria's paper on Hierarchical Reinforcement Learning: A Comprehensive Survey has been published by ACM Computing Survey, vol. 54, no. 5 (June 2021), Article No.: 109, 1–35. [PDF]
Gao Shan's paper on Learning ADL Daily Routines with Spatiotemporal Neural Networks has been published by IEEE Transactions on Knowledge and Data Engineering, vol. 33, no. 1, pp. 143-153, 1 Jan. 2021, doi: 10.1109/TKDE.2019.2924623. [PDF]
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