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BICT 2019: International Conference on Bio-inspired Information and Communications Technologies

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截稿日期:
2018-11-25 Extended
通知日期:
2018-12-10
会议日期:
2019-03-12
会议地点:
Pittsburgh, Pennsylvania, USA
届数:
11
浏览: 23029   关注: 1   参加: 0

会伴指数 (CP-I)

46.1 / 100
全站第 2,522 名 / 共 5,687 个会议 · 前 45%

网络与通信 第 380 / 864

学术认可 (35%) 无数据 —— 按中性基准 50 分计入 —
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%)
67
社区关注 (10%)
15
资料公开度 (15%)
25

用到的输入: 有据可查的届次：11 · 在会伴关注它的研究者：1 人 · 过去 24 个月打开过本页的研究者：2 人

公开资料里还缺: 历年录用率 (+4.5) · 历届信息 (+3.0) · 最佳论文记录 (+2.3)
主办方认领本会议后，可直接在这一页补上；分数每晚重算。如何提升这个分数

置信度 45% —— 分数中有多大比例来自实际观测到的数据，而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.1 · 算于 2026-09-27

征稿

BICT 2019 (International Conference on Bio-inspired Information and Communications Technologies) is an academic conference held in Pittsburgh, Pennsylvania, USA on 2019-03-12. The paper submission deadline is 2018-11-25 (extended). Acceptance notifications are sent on 2018-12-10.

Scope The International Conference on Bio-inspired Information and Communications Technologies (BICT) provides a unique venue for researchers and practitioners in diverse disciplines to seek the understanding of key principles, processes, and mechanisms in biological systems and leverage those understandings in design, engineering, and technological applications. Biology offers an empirical and profound glimpse of dynamic stability, robustness, control, resilience, and survival. Accordingly, the application of biological research to systems and technology holds immense potential and reveals many technical challenges. BICT 2019 welcomes formal and rigorous research focused on the following three thrusts: Direct Bioinspiration, Indirect Bioinspiration and Foundational Bioinspiration. Details about each of the three thrusts, including example topics, can be found below. The 2019 edition of the conference, due to be held at the Carnegie Mellon University on March 12-13, is expected to have a vibrant program featuring peer-reviewed papers, keynote speakers, panels, multiple technical sessions, focused special tracks, interactive demonstrations, poster sessions, informative co-located workshops, tutorials, artwork, and social events. Thrusts and Topics BICT 2019 offers three thrusts. Direct bioinspiration focus on utilizing physical/biological materials and systems within technology advances. Indirect bioinspiration focuses on utilizing biological principles, processes and mechanisms within the design and application of technology. Foundational Bioinspiration focuses on biology and technology evolving similar schemes and considers reasoning and validity studies examining the natural connections between biology and technology. Thrust 1: Direct Bioinspiration (systems utilizing biological materials, processes, and systems) Bacterial computing and communication Biometric security and privacy Biosensing Brain-computer and human-computer interface Cellular and membrane computing Chemical signaling and communication DNA computing and memory Energy harvesting from biological sources Molecular assembly computing and communication Physarum computing Thrust 2: Indirect Bioinspiration (systems and application design upon biological principle, processes and mechanisms) Amorphous computing Artificial chemistry, immune systems, gene regulatory networks and life Autonomous vehicle systems Biological process and data analysis Cellular automata Chaotic systems Computational epidemics Cyber security, privacy and intelligence Evolutionary computation Healthcare Intelligent systems Internet of Things (IoT) Mobile robotics Modeling and simulation Nature-inspired models and calculi Neural networks/computation Reaction-diffusion computing Self-organization Smart services and cities Swarm intelligence Thrust 3 Foundational Bioinspiration (biology and ICT evolving similar schemes and validity) Adversarial modeling Agent based models Biological theory change and its impact on corresponding bioinspired technology Cellularization Costly signaling (Proof of work, stake, etc.) Deception Evolution Game theory Identification of theoretical obstacles that prevent transition from biology to technology Measures of validity and validation of methodology Mechanistic adaptability of theories from philosophy of biology to technology Natural kinds and species (i.e., classification of bioinspired technology) Network theory Recommender and verifier systems Signaling games, equilibria and conventions Smart contracts (Block chains, ICO, Governance)
由 Dou Sun 最后更新于

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