2024年国际生命系统建模与仿真会议（LSMS2024）和2024年可持续能源与环境智能计算国际会议（ICSEE2024）

会议信息

会议地点：苏州，中国

网址：http://www.lsms-icsee.cn/index.html

邮箱：lsms_icsee2024@163.com

投稿主题：注明主题+通讯作者姓名

会议简介：

2024年国际生命系统建模与仿真会议（LSMS2024）和2024年可持续能源与环境智能计算国际会议（ICSEE2024）旨在汇集全球生命系统建模与仿真领域的研究人员和实践者，以及智能计算理论与方法在可持续能源和环境领域的应用。这些活动是在过去几年中成功举办的LSMS和ICSEE系列会议的基础上发展而来，这些会议曾分别在中国的多个城市举办。LSMS会议于2004年、2007年、2010年、2014年、2017年和2021年在上海、无锡、南京和杭州举办，而ICSEE会议则于2010年、2012年、2014年、2017年、2018年和2021年在无锡、上海、南京、重庆和杭州举办。会议基于中国和英国在可持续能源领域的大型合作项目，通过主题演讲、小组讨论、特别会议、创新工坊和比赛以及海报展示来促进研究领域内的技术交流。此外，参与者还将有机会参加一系列社交活动、招待会和网络会议，这有助于建立新的联系、培养友谊，并促进合作伙伴关系及合作。

论文收录：

所有接受的论文将在会议记录中发表，检索收录为EI

论文主题

A. COMPUTATIONAL METHODS AND INTELLIGENCE IN

LIFE SYSTEM MODELLING AND SIMULATION（智能计算方法及生命系统与仿真）

A1 Biological and biomedical data integration, mining and visualization

A2 Biomedical signal processing, imaging, and visualization

A3 Biorobotics, surgical robotics and surgical planning

A4 Brain stimulation, neural dynamics and neural Interfacing

A5 Computational intelligence in bioinformatics and biometrics

A6 Computational methods and intelligence in modelling genetic

and chemical networks and regulation

A7 Computational methods and intelligence in modelling molecular,

cellular and multi-cellular behaviour and dynamics

A8 Computational methods and intelligence in organism modeling

A9 Computational methods and intelligence in ontology and taxonomy study and

drug design

A10 Computational methods and intelligence in modelling and design of synthetic

biological systems

A11 Computational methods and intelligence in biomechanical systems, tissue

engineering and clinical bioengineering

A12 High performance bio-computing

A13 Modelling software and makeup language in systems biology

A14 Intelligent medical apparatus and clinical applications

A15 Intelligent design of biochips, bioinstrumentations

A16 Modelling and simulation of societies and collective behaviour

A17 Innovative education in systems modeling and simulation

B. INTELLIGENT COMPUTING AND NET-ZERO APPLICATIONS, INCLUDING

SUSTAINABLE ENERGY AND ENVIROMENT （智能计算与零碳应用）

B1 Advanced neural network theory and algorithms, including deep neural

networks and graph neural networks, and their applications

B2 Advanced evolutionary computing theory and algorithms, including

multi-objective optimization algorithms, and their applications

B3 Advanced theory and methodology in fuzzy systems and soft computing, and

their applications

B4 Autonomy-oriented computing and multi-agents, and their applications

B5 Fuzzy, neural, and fuzzy-neuro hybrids and their applications

B6 Intelligent modelling, monitoring, and control of complex nonlinear systems

and their applications

B7 Computational intelligence in production and utilization of clean and renewable

power and energy resources, including fuel cell, hydrogen, solar and wind

power, wave and tidal power, and biomass

B8 Intelligent methods for energy saving and pollution reduction in manufacturing

B9 Intelligent methods in developing

electric vehicles, engines and equipment to

support transport decarbonization

B10 Intelligent methods in power and energy operation and infrastructure

development with significant penetration of renewable energy and mass

roll-out of electric vehicles

B11 Intelligent computing in operation and control of distributed power generation

systems including microgrids

B12 Intelligent methods in modeling, simulation and control of

power electronics

and power networks to support sector decarbonization

B13 Intelligent methods in road management and electricity market to support

decarbonization

B14 Intelligent methods for building energy management and decarbonization

B15 Intelligent modeling and simulation of climate change

B16 Intelligent water treatment and waste management technologies

B17 Innovative education to support net zero transition

B18 Intelligent autonomous systems and intelligent robotic systems

B19 Industrial inn power, transport, manufacturing, construction, buildings and farms. ovations in accelerating decarbonization in all sectors, such as power, transport, manufacturing, construction, buildings and farms.

C. COMPUTATIONAL BIOMEDICINE （计算生物医学）

C1 Biological and brain networks

C2 Data analysis and data mining of biosignals

C3 Biomarker discovery

C4 Feature selection

C5 Computational neuroscience

C6 Robust optimization and data analysis

C7 Genome data analysis

C8 Molecular conformation and protein folding

C9 Biocomputing