CSCE 2023

BICOMP is an international conference that serves researchers, scholars, professionals, students, and academicians who are looking to both foster working relationships and gain access to the latest research results. It is being held jointly (same location and dates) with a number of other research conferences; namely, The 2023 World Congress in Computer Science, Computer Engineering, and Applied Computing (CSCE'23).

We anticipate having between 1,000 and 2,000 participants in the Congress. The congress includes 21 major tracks composed of: 122 technical, research, and panel sessions as well as a number of keynote lectures and tutorials; all will be held simultaneously, same location and dates: July 24-27, 2023. Last year, the Congress had attracted speakers/authors and participants affiliated with over 158 different universities (including many from the top 50 ranked institutions), major IT corporations (including: Microsoft, Google, Apple, SAP, Facebook, Oracle, Amazon, Yahoo, Samsung, IBM, Ebay, GE, Siemens, Philips, Ericsson, BAE Systems, Hitachi, NTT, Twitter, Uber Technologies, ...), major corporations (including: Exxon Mobil, Johnson & Johnson, JPMorgan Chase, PetroChina, GlaxoSmithKline, HSBC, Airbus, Boeing, Hyundai, Goldman Sachs, Deutsche Bank, ...), government research agencies (NSF, NIH, DoE, US Air Force, NSA National Security Agency, Central Intelligence Agency, ...), US national laboratories (including, NASA National Aeronautics and Space Administration, ANL Argonne National Lab, Sandia National Lab, ORNL Oak Ridge National Lab, Lawrence Berkeley National Lab, Lawrence Livermore National Lab, Los Alamos National Lab, Pacific Northwest National Lab, ...), and a number of Venture Capitalists as well as distinguished speakers discussing Intellectual Property issues. Last year, 54% of attendees were from academia, 25% from industry; 20% from government and funding agencies; and 1% unknown. About half of the attendees were from outside USA; from 69 nations.

Bioinformatics is an interdisciplinary field that develops methods and software tools for understanding biological data. Computational Biology involves the development and application of data-analytical and theoretical methods, mathematical modeling and computational simulation techniques to the study of biological, behavioral, and social systems.

The primary goal of this conference is to provide a platform for researchers, scientists, industry experts and scholars to share their novel ideas and research results on the application of human cognition models in various practical computing applications. Through this conference, the organizers would like to develop an interdisciplinary venue to contribute and discuss the ongoing innovations, applications and solutions to challenging problems of engineering human brain processes, learning mechanisms and decision making processes.

You are invited to submit a paper for consideration. All accepted papers will be published by CPS in the proceedings of Congress (CSCE). Extended versions of selected papers of the conference will also appear in journals and edited research books (Springer, Elsevier, BMC, ...) The published proceedings can be accessed via web portals, CPS, other Digital libraries.

PUBLISHER:
CPS

Papers should be typeset by using the general typesetting instructions available at (select "US letter" option for accessing templates):
https://www.ieee.org/conferences/publishing/templates.html
(i.e., single line spacing, 2-column format). All submissions must be original (papers must not have been previously published or currently being considered by others for publication).

Past publications of proceedings: https://american-cse.org/csce2023/publisher and https://american-cse.org/csce2023/special_issues

Prospective authors are invited to submit their papers by uploading them to the evaluation web site at:
https://american-cse.org/drafts/

All researchers, authors and scientists are respectfully encouraged to contribute to the conference with submissions of their novel research papers having unpublished and original research with theoretical, mathematical, empirical and experimental work in the following areas of applied cognitive computing and are cordially invited for presentation at the conference.
- Topics of interest include, but are not limited to, the following:
- Bioinformatics and Big Data
- Big Data in genomics and cancer research
- Microarrays
- Bioinformatics and new cloud resources
- Molecular dynamics and simulation; Molecular interactions
- Molecular sequence classification, alignment and assembly
- Molecular sequence and structure databases
- Computational Systems Biology
- Gene regulation
- Gene pattern discovery and identification
- Gene expression analysis; Gene expression databases
- Genetic network modeling and inference
- Comparative genomics
- Evolution of regulatory genomic sequences
- RNA and DNA structure and sequencing
- Biomedical engineering
- Combinatorics and bioinformatics
- Biological data mining and knowledge discovery
- Biological databases and information retrieval
- Bio-ontologies + semantics
- Biological data integration and visualization
- Image processing in medicine and biological sciences
- Pattern classification and recognition
- Sequence analysis and alignment
- Informatics and Statistics in Biopharmaceutical Research
- Software tools and methods for computational biology and bioinformatics
- Protein modeling
- Proteomics; Protein folding and fold recognition
- Metabolic modeling and pathways
- Evolution and phylogenetics
- Macromolecular structure prediction
- Medical informatics
- Epidemic models
- Structural and functional genomics
- Amino acid sequencing
- Stochastic modeling
- Cheminformatics
- Computational drug discovery and experimental medicine
- Cancer informatics
- Experimental studies and results
- Application of computational intelligence in drug design
- High-performance computing and applications in biology
- Computer-based medical systems (automation in medicine, ...)
- Other aspects & applications relating to technological advancements in medicine & biological sciences & emerging roadmaps.