Hybrid Conferencee

International Conference on Computational Immunology for Vaccine Engineering (ICCIVE - 26)

4th - 5th November 2026 | Dakar, Senegal

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Call for Papers Extended:
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Certificate of Presentation:
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Abstract Submissions Open:
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Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Dakar conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Dakar, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Dakar."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

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. It fosters knowledge exchange, innovation, and collaborative engagement.

SDG 3
SDG 3 Good Health and Well-being
SDG 4
SDG 4 Quality Education
SDG 9
SDG 9 Industry, Innovation and Infrastructure
Track 01

Advancements in Computational Immunology

This track focuses on the latest developments in computational immunology, emphasizing novel algorithms and methodologies. Participants will explore how these advancements can enhance vaccine design and efficacy.

Track 02

Predictive Modeling in Vaccine Engineering

This session will delve into predictive modeling techniques that are crucial for vaccine development. Attendees will discuss case studies showcasing the application of these models in real-world scenarios.

Track 03

Machine Learning Approaches in Bioinformatics

This track highlights the use of supervised and unsupervised learning methods in bioinformatics. Researchers will present their findings on how these approaches can optimize vaccine-related data analysis.

Track 04

Deep Learning for Immune Response Prediction

This session will cover the application of deep learning techniques in predicting immune responses to vaccines. Participants will examine various architectures and their effectiveness in modeling complex biological systems.

Track 05

Anomaly Detection in Immunological Data

This track focuses on the challenges and solutions related to anomaly detection within immunological datasets. Discussions will include methodologies for identifying outliers that may affect vaccine efficacy.

Track 06

Feature Extraction Techniques in Vaccine Research

This session will explore innovative feature extraction techniques that enhance the analysis of immunological data. Researchers will present methods that improve model performance and interpretability.

Track 07

Workflow Automation in Vaccine Development

This track addresses the importance of workflow automation in streamlining vaccine development processes. Participants will discuss tools and frameworks that facilitate efficient data handling and analysis.

Track 08

System Monitoring and Evaluation in Immunology

This session will focus on the implementation of system monitoring techniques for immunological research. Attendees will evaluate methods for assessing the performance and reliability of predictive models.

Track 09

Industrial IoT Applications in Vaccine Engineering

This track will explore the integration of industrial IoT technologies in vaccine engineering. Discussions will center on how IoT can enhance data collection and analysis in immunological studies.

Track 10

Digital Twin Technologies in Immunology

This session will examine the application of digital twin technologies in modeling immune responses. Participants will discuss how these virtual representations can aid in vaccine development and testing.

Track 11

Pathway Analysis and System Optimization

This track focuses on pathway analysis as a tool for understanding immune responses and optimizing vaccine strategies. Researchers will present methodologies that link biological pathways to computational models.