Flex Conference (Physical / Digital)

International Conference on Genetic Circuit Design and Bio-Computing Systems (ICGCBDS - 26)

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Conference Session Tracks

SDG Wheel

Aligned with

UN Sustainable Development Goals

This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals.

SDG 3 SDG 3 — Good Health and Well-being
SDG 4 SDG 4 — Quality Education
SDG 9 SDG 9 — Industry, Innovation and Infrastructure
SDG 12 SDG 12 — Responsible Consumption and Production
Track 01

Advancements in Genetic Circuit Design

This track focuses on the latest methodologies and technologies in the design of genetic circuits. Researchers are invited to present innovative approaches that enhance the functionality and reliability of synthetic biological systems.

Track 02

Bio-Computing Systems and Their Applications

This session explores the intersection of bio-computing and biotechnology, highlighting applications that leverage computational techniques for biological research. Contributions should emphasize novel bio-computing frameworks that facilitate experimental design and data analysis.

Track 03

Predictive Modeling in Biotechnology

This track aims to discuss the role of predictive modeling in advancing biotechnological applications. Papers should address methodologies that improve accuracy and reliability in predicting biological outcomes.

Track 04

Machine Learning Techniques in Synthetic Biology

This session invites contributions on the application of supervised and unsupervised learning techniques in synthetic biology. Emphasis will be placed on innovative algorithms that enhance genetic circuit performance and optimization.

Track 05

Anomaly Detection in Biological Systems

This track focuses on the development and application of anomaly detection techniques within biological systems. Researchers are encouraged to present novel approaches that identify and mitigate unexpected behaviors in genetic circuits.

Track 06

Feature Extraction for Biological Data Analysis

This session will explore advanced feature extraction methods tailored for complex biological datasets. Contributions should highlight techniques that improve data interpretation and model performance in biotechnology.

Track 07

Workflow Automation in Biotechnology Research

This track examines the integration of automation technologies in biotechnology workflows. Papers should discuss systems that enhance efficiency and reproducibility in experimental procedures.

Track 08

System Monitoring and Evaluation in Bio-Computing

This session focuses on strategies for monitoring and evaluating bio-computing systems. Contributions should address metrics and methodologies that ensure system reliability and performance in biotechnological applications.

Track 09

Industrial IoT and Biotechnology Integration

This track explores the convergence of industrial IoT technologies with biotechnological processes. Researchers are invited to present case studies and frameworks that demonstrate the benefits of this integration for resource optimization.

Track 10

Digital Twin Technologies in Synthetic Biology

This session will discuss the application of digital twin technologies in the modeling and simulation of synthetic biological systems. Contributions should focus on how digital twins can enhance predictive maintenance and process optimization.

Track 11

Gene Network Modeling and Computational Biology

This track invites papers on the modeling of gene networks and their implications for computational biology. Emphasis will be placed on innovative computational techniques that elucidate complex biological interactions and processes.

Important Dates

Early Bird Registration :19th July 2026

Paper Submission Deadline :24th July 2026

Last Date of Registration : 3rd August 2026

Date of Conference : 18th - 19th August 2026

Supporting Academic Continuity

APSTE ensures that research and publication processes continue without interruption in the current global situation. Participants can present their work through digital and integrated formats.

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