We invite original theoretical, empirical, and applied engineering contributions across our six multidisciplinary Bio-AI, precision fermentation, and circular bioeconomy tracks.
Authors may submit 250–500 word abstracts aligned with one or more of the following scientific research domains.
Focuses on foundational AI architectures and deep generative neural networks applied to macromolecular modeling, enzyme design, and structural biology.
Encompasses macro-economic modeling, carbon life-cycle assessment (LCA), techno-economic analysis (TEA), and policy frameworks for bio-based industrial scaling.
Addresses the engineering bottlenecks of scaling precision fermentation from bench-scale shake flasks to industrial multi-thousand-liter bioreactor tanks.
Covers synthetic biology circuitry, genetic reprogramming, metabolic flux optimization, and automated strain engineering via bio-foundry robotics.
Innovations in bioreactor physics, real-time sensing, non-food feedstocks, and biodegradable polymer synthesis.
Converting organic sidestreams, municipal food waste, agricultural residues, and greenhouse emissions into valuable resources.
All contributions must be original, previously unpublished work adhering to international research ethics standards.
Abstracts must clearly outline: 1) Background & Problem, 2) Methodology / AI Architecture, 3) Key Experimental or Computational Results, and 4) Broader Significance to Bioeconomy/Biomanufacturing. Include 4–6 relevant keywords.
Abstract submissions are screened by our technical program committee within 3–5 working days. Evaluations prioritize scientific novelty, clarity of metrics, reproducible data methods, and track alignment.
All accepted contributions are presented as Virtual Research Presentations (15-minute live broadcast + 5-minute interactive Q&A). Presenting authors receive an official Certificate of Presentation and proceedings indexation.
Abstract submission is 100% free with zero evaluation charges. Receive structured reviewer feedback within 3–5 working days.
