Conference Information

EAI BICT 2027: EAI International Conference on Bio-inspired Information and Communications Technologies

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Submission Date:
2027-01-28 Due in 84 days
Notification Date:
2027-02-28
Conference Date:
2027-07-06
Location:
Shanghai, China
Years:
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EAI BICT
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Conference Partner Index (CP-I)

52.7 / 100
Ranked #1,175 of 5,769 conferences · Top 21%

#172 of 874 in Networks & Communications

Academic recognition (35%) No data - scored at the neutral baseline of 50 —
Submission selectivity (20%) No data - scored at the neutral baseline of 50 —
Editions held (20%)
76
Community attention (10%)
17
Public record completeness (15%)
55

Inputs used: Editions on record: 16 · Researchers following it here: 1 · Researchers who opened this page in the past 24 months: 3

Missing from the public record: Historical acceptance rates (+4.5) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 45% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.2 · Computed 2026-11-05

Call For Papers

EAI BICT 2027 (EAI International Conference on Bio-inspired Information and Communications Technologies) is an academic conference held in Shanghai, China on 2027-07-06. The paper submission deadline is 2027-01-28. Acceptance notifications are sent on 2027-02-28.

Scope The EAI BICT 2027 conference focuses on emerging bio-inspired information and communication technologies at the intersection of communication engineering, life sciences, artificial intelligence, and nanotechnology. The conference aims to explore how biological principles, mechanisms, and architectures can inspire next-generation information processing, transmission, storage, and interaction paradigms beyond conventional frameworks. Key themes include molecular communication, bio-hybrid communication systems, brain–computer interfaces, AI for health, DNA-based storage and computing, neural communication, nanotransceiver design, bioelectronic systems, and intelligent biomedical sensing. This edition particularly emphasizes the integration of communication, sensing, computation, and networking across multiple scales, from micro- and nano-scale biochemical processes to system-level healthcare and intelligent infrastructure applications. Special attention will be given to experimental platforms, real-world implementations, and cross-disciplinary methodologies combining communication theory, signal processing, synthetic biology, microfluidics, artificial intelligence, bioelectronics, and nanosystems engineering. By bringing together researchers from diverse disciplines, EAI BICT 2027 aims to foster new concepts, methods, and applications for future bio-inspired communication and information technologies. Topics • Molecular communication systems and models • Bio-nano networks and nanoscale communications • Molecular signal generation, modulation, and detection • Microfluidic platforms for communication experiments • Bio-inspired communication protocols and architectures • Signal processing for molecular and biological systems • Channel modeling and noise analysis in molecular communication • Information theory for molecular and nano-scale channels • Bio-sensing and bio-signal acquisition technologies • Optical, electrochemical, and fluorescence-based detection methods • Integrated sensing-communication systems • DNA-based storage and computing • Interfaces between molecular communication and wireless networks • Body area networks and bio-cyber interfaces • Cross-scale communication system design • Synthetic biology for communication applications • Artificial cells and programmable biological systems • Neuromorphic and bio-inspired computing for communication • Swarm intelligence and distributed bio-inspired networking • AI for bio-inspired communication systems • brain–computer interfaces • Applications in healthcare, smart medicine, and environmental monitoring • Experimental testbeds and real-world implementations
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