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<pre class="gmail-aLF-aPX-K0-aPE" style="margin-top: 0px; margin-bottom: 0px;"><font face="arial, sans-serif"><font color="#000000"><span style="font-size: 14px;">[Apologies if you receive multiple copies of this CfP]
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Special Session on High Performance Computing for AI-driven Genomics
@ CIBB 2025
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Call for Papers
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September 10 - 12, 2025, Milan, Italy
Conference Website: </span></font><a href="https://www.bioinformatics.polimi.it/CIBB2025/#special-tracks" style="color: rgb(0, 0, 0); font-size: 14px;">https://www.bioinformatics.polimi.it/CIBB2025/#special-tracks</a><font color="#000000"><span style="font-size: 14px;">
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Aims and Scope:
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The growing availability of genomic data represents both a vast resource and a
significant computational challenge. This enormous volume of data provides
valuable insights into the DNA structure of organisms. However, processing a
massive amount of genomic sequences demands substantial computational power.
High-Performance Computing (HPC) infrastructures have become pivotal for
efficiently exploring, analyzing, and interpreting large genomic collections,
enhancing advancements across all fields of computational genomics. Moreover,
GPU-accelerated computing enables highly parallelized operations, significantly
improving the efficiency of deep learning models, large-scale sequence
alignments, and genomic simulations.
This special session aims to bring together researchers working at the
intersection of deep learning, High-Performance Computing (HPC), including
GPU-accelerated computing, alongside genomic data modeling and analysis. By
focusing on the integration of advanced computational techniques with genomic
research, the session fosters collaboration and innovation in developing new
methodologies for tackling the challenges posed by large-scale genomic datasets.
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Topics of Interest:
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- Deep Learning for Genomic Data Modeling
- Generative Models for Synthetic Genomes Generation
- Computer Vision Integration in Computational Genomics
- Modeling Genome and Pangenome Large-Scale Graphs with Graph Neural Networks
- Leveraging Large Language Models (LLMs) in Genomic Data Science
- Explainable AI in Genomics: Methods and Applications
- High-Performance Computing for Scalable Genomic Workflows
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Special Session Organizers:
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Ilaria Billato, University of Padova, Italy
Riccardo Ceccaroni, Sapienza University of Rome, Italy
Emanuel Di Nardo, University of Naples Parthenope, Italy
Lorenzo Di Rocco, Sapienza University of Rome, Italy
Umberto Ferraro Petrillo, Sapienza University of Rome, Italy
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Important Dates:
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- Short paper submission: April 30, 2025
- Acceptance/rejection notification: June 23-30, 2025
- Camera-ready short paper submission: July 6, 2025
- Conference: September 10 - 12, 2025
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Proceedings:
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Submitted contributions will be peer-reviewed, and all accepted papers presented
at the conference will be invited to submit extended versions for publication in
the Springer Lecture Notes in Bioinformatics (LNBI) or a selected top
bioinformatics journal.
</span><span style="caret-color: rgb(0, 0, 0); font-size: 14px;">——————————————————————————</span></font></font></pre>
<pre class="gmail-aLF-aPX-K0-aPE" style="margin-top: 0px; margin-bottom: 0px; color: rgb(0, 0, 0); font-size: 14px;"><font face="arial, sans-serif"><br></font></pre>
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<div><b>Emanuel Di Nardo, PhD</b></div>
<div>University of Naples Parthenope</div>
<div>Naples, Italy</div>
<div>emanuel.dinardo@uniparthenope.it</div>
<div>https://research.emanueldinardo.com</div>
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