HiCOMB 2023 - Call for papers (Due Fab 20)

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Bozdag, Serdar

Feb 14, 2023, 4:58:53 PMFeb 14
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Dear colleagues


Please consider submitting your original papers in computational biology/bioinformatics/high performance computing to HiCOMB.


To submit papers, visit:




HiCOMB 2023 Call For Papers



May 15, 2023

St. Petersburg, Florida, USA




**Important Dates**

Workshop submission deadline

(for all categories): Feb 20th, 2023

Author notification: March 1st, 2023

Final camera-ready papers deadline: March 7, 2023

Workshop:          May 15, 2023



The size and complexity of genomic and biomedical big data continue to grow at a exponential pace, and the analysis of these complex, noisy, data sets demands efficient algorithms and high performance computing architectures. Hence, high-performance computing (HPC) has become an integral part of research and development in bioinformatics, computational biology, and medical and health informatics. The goal of the HiCOMB workshop is to showcase novel HPC research and technologies to solve data- and compute-intensive problems arising from all areas of computational life sciences. The workshop will feature contributed papers as well as invited talks from reputed researchers in the field.


For peer-reviewed papers, we invite authors to submit original and previously unpublished work that are at the intersection of the "pillars" of modern day computational life sciences and HPC.  More specifically, we encourage submissions from all areas of biology that can benefit from HPC, and from all areas of HPC that need new development to address the class of computational problems that originate from biology.


Areas of interest within computational life sciences include (but not limited to):


Biological sequence analysis (genome assembly, long/short read data structures, read mapping, clustering, variant analysis, error correction, genome annotation)

Computational structural biology (protein structure, RNA structure)

Functional genomics (transcriptomics, RNAseq/microarrays, single cell analysis,  proteomics, phospho-proteomics)

Systems biology and networks (biological network analysis, gene regulatory networks, metabolomics, molecular pathways)

Tools for integrated multi-omics and biological databases (network construction, modeling, link inference)

Computational modeling and simulation of biological systems (molecular dynamics, protein structure/docking, dynamic models)

Phylogeny (phylogenetic tree reconstruction, molecular evolution)

Microbes and microbiomes (taxonomical binning, metagenomics, classification, clustering, annotation)

Biomedical health analytics and biomedical imaging (electronic health records, precision medicine, image analysis)

Biomedical literature mining (text mining, ontology, natural language processing)

Computational epidemiology (infectious diseases, diffusion mechanisms)

Phenomics and precision agriculture (IoT technologies, feature extraction)

Visualization of large-scale biomedical data and patient trajectories

Areas of interest within HPC include (but are not limited to):


Parallel and distributed algorithms (scalable machine learning, parallel graph/sequence analytics, combinatorial pattern matching, optimization, parallel data structures, compression)

Biological data management, metadata standards such as compliance to FAIR principles, AI-ready data processing

Data-intensive computing techniques (communication-avoiding/synchronization-reducing techniques, locality-preserving techniques, big data streaming techniques)

Parallel architectures (multicore, manycore, CPU/GPU, FPGA, system-on-chip, hardware accelerators, energy-aware architectures, hardware/software co-design)

Memory and storage technologies (processing-in-memory, NVRAM, burst buffers, 3D RAM, parallel/distributed I/O)

Parallel programming models (libraries, domain specific languages, compiler/runtime systems)

Scalable AI/ML frameworks for biological systems, modeling, and analysis

Scientific workflows (data management, data wrangling, automated workflows, productivity)

Scientific computing (numerical analysis, optimization)

Empirical evaluations (performance modeling, case-studies)

Submission guidelines

To submit a paper, please upload a PDF file through the Linklings HiCOMB 2023 submission link:



IPDPS workshops can have submission in three categories: **regular papers (up to 10 pages)**, **short papers (up to 4 pages)**, and **extended abstracts (1 page)**. Submitted manuscripts may not exceed ten (10) single-spaced double-column pages using a 10-point size font on 8.5x11 inch pages (IEEE conference style), including figures, tables, and references (see IPDPS Call for Papers for more details). All papers will be reviewed by three or more referees. This year, the authors of the accepted papers will be given a choice on whether to have the paper appear in the IPDPSW Proceedings (which will be digitally indexed and archived as part of the IEEE Xplore Digital Library). If the authors choose not to make it part of the proceedings, then the paper will not be considered archival. In either case, all accepted papers will be posted online on the workshop website, and all accepted papers (archived or not) will need to have an oral presentation at the workshop by one of the authors of the paper.


Program Chairs

Fahad Saeed, Florida International University, USA

Serdar Bozdag, University of North Texas, USA


Program Committee

Zeeshan Ahmed (zah...@ifh.rutgers.edu)

Shoaib Akram (shoaib...@anu.edu.au)

Mohammed Alser (mea...@gmail.com)

Muaaz Gul Awan (mga...@lbl.gov)

Brittany Baur (brb...@med.umich.edu)

Sanjukta Bhowmick (sanjukta...@unt.edu)

Banabithi Bose (banabit...@northwestern.edu)

Ercument Cicek (ci...@cs.bilkent.edu.tr)

XUAN GUO (xuan...@unt.edu)

Ajay Gupta (ajay....@wmich.edu)

Yuede Ji (yued...@unt.edu)

Ziynet Nesibe Kesimoglu (ziynetnesi...@my.unt.edu)

Ashfaq Khokhar (ash...@iastate.edu)

Sumesh Kumar (skum...@fiu.edu)

Yongchao Liu (ntul...@outlook.com)

Sita Sirisha Madugula (sire...@gmail.com)

Serghei Mangul (serghei...@gmail.com)

Umair Mohammad (umoh...@fiu.edu)

Ananda Mondal (amo...@cis.fiu.edu)

Chad Myers (ch...@umn.edu)

Giri Narasimhan (gi...@fiu.edu)

Ibrahim Numanagić (inum...@uvic.ca)

Jubair Ibn Malik Rifat (jubairibn...@my.unt.edu)

Ashok Srinivasan (asrin...@uwf.edu)

Sandino Vargas-Pérez (sva...@kzoo.edu)

Yashu Vashishath (yashuva...@my.unt.edu)


General Chairs

Alba Cristina M. A. de Melo, Department of Computer Science, University of Brasilia <email>

Ananth Kalyanaraman, School of EECS, Washington State University <email>

Steering Committee Members

Srinivas Aluru, College of Computing, Georgia Institute of Technology

David A. Bader, Department of Computer Science, New Jersey Institute of Technology

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