Research in SNU Biointelligence Lab
Our research focuses on brain-inspired computational intelligence technologies, i.e. biointelligence. We use mathematical modeling, computer simulations, and cognitive experiments to build models of cognitive information processing at the molecular, neural, and whole-brain scales. These evolutionary computational models are then used to develop human-competitive learning and inference machines for solving real-world problems in artificial intelligence and cognitive brain science.
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BabyMind Project
Infant-Mimic Neurocognitive Developmental Machine Learning from Interaction Experience with Real World
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StarLab Project
Cognitive Agents That Learn Everyday Life
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DeepAction
Deep Learning of TV Viewer Activities
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DeepClone
Cloning Humans for Scheduling Personal Service Robots
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CogHRI
Cognitive Communication as Moving Target Tracking
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Molecular AI
Intelligent Nanobio Agents That Learn
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Molecular ML: Bio-Inspired Human-Level Machine Learning (2012~2015)
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Videome: Cognitive Machine Learning from Digital Videos (2011~2015)
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mLife: Identifying Human Mobile Behaviors in Context (2010~2015)
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RoboMotion: Learning to Generate Robot Motions from Human Activity Sequences (2011~2013)
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BrainNet: Uncovering the Hyperedges of Cortical Brain Graphs (2010~2013)
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DietAdvisor: A Smart Phone Agent That Recommends Meals and Exercises (2011~2012)
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MARS: A Multimodal Associative Recommendation System (2009 ~ 2010)
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Xtran: Crossmodal Translation of Language and Vision (2008~2010)
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MMG:Cognitive Learning and the Multimodal Memory Game (2007 ~ 2010)
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E-Learn: Personalized e-Learning with Bayesian Networks (2009 ~ 2010)
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Lavatar: Learning Avatars in Virtual Worlds (2009)
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MEC (Phase 3): DNA Computing Algorithms for Molecular Diagnosis (2006 ~ 2009)
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SKT: Hypernetwork Models for Language Learning (2007 ~ 2008)
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MLScene: Learning and Inference from Camera Scene Data (2007)
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ProMiR: Probabilistic Prediction of microRNA (2004~2007)
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MEC: Molecular Evolutionary Computing (Phases I and II, 2000 ~ 2006)
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HyperSNP: Hypergraph Modeling for Large-Scaling Data Analysis (2007~2008)
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AptaCDSS II: A Clinical Decision Assistant System with Knowledge Discovry - A Post AptaCDSS System (2006 ~ 2007)
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DNAChipBench (NRL Project): Intelligent Design and Analysis Technology for DNA Chips (2002~2007)
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LGCore: Machine Learning Technologies for Performance Prediction of Digital Appliances (2006)
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AptaCDSS: A diagnosis support system for cardiovascular disease using aptamer chip (2005-2006)
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SysBio: In silico modeling and network construction of chromosomal replication and segregation (2003-2005)
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LaText: Text mining based on latent variable models (2001 ~ 2004)
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BrainGene: DNA data mining for the analysis of expression patterns of vertebrate brain development-specific genes (rat) (2001 ~ 2003)
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MrHumor: A personalized Internet agent that recommends humors and jokes (2002 ~ 2002)
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AngioProt: Development of a prediction algorithm for angiogenesis-related molecules (2001 ~ 2002)
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MicroGene: Microbial gene identification using probabilistic graphical models (2001 ~ 2002)
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ProClass: Protein classification based on molecular sequence and text information (2000 ~ 2001)
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BioText: Information extraction from biological texts based on Markov models (2000)
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DMDM: DNA microarray data mining using unsupervised learning techniques (2000)
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LEONN: Learning and evolution of neural networks (1998 ~ 2001)
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FACT: Text filtering and classification from large-scale document collections (1998 ~ 2001)
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EOS: Online learning of robot behaviors with evolvable hardware (1998~ 2000)
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NetMining: Network intrusion detection using active datamining techniques (1998 ~ 2000)
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eClerk: A learning agent for recommending products at a virtual shopping mall (1998 ~ 1999)
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NACST: Nucleic acid computing simulation toolbox (1998 ~ 1999)
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ScaiTrec: SCAI at Text REtrieval Conference (TREC) (1998 ~ )
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STAR: Statistical learning for ambiguity resolution (1998)
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WAIR: Intelligent learning agents for personalized information retrieval on the Web (1997 ~ 1998)
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ECTOP: Evolutionary computing theory for optimization (1997)
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MACS: Evolving homing and herding behaviors of multiple robotic agents (1996 ~ 1999)
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AGIPT: Adaptive genetic programming systems for flexible information processing (1996 ~ 1998)
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ALENN: Active learning evolutionary neural networks (1996)
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GAMAR: Genetic algorithms for multicast routing (1995 ~ 1997)
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SIFOGA: Statistical inference as a foundation of genetic algorithms (1993 ~ 1996)
This page is maintained by Byoung-Tak Zhang (btzhang@bi.snu.ac.kr).
Last update: October 3, 2013.
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