FCS 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.
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/Topics of interest include, but are not limited to, the following:
- Quantum Computing
- Game Theory and Methods
- Combinatorial Pattern Matching
- Computational Number Theory
- Big Data Analytics
- Distributed and Parallel Computation Models and Theory
- Logic in Computer Science
- Theory of Computing and Formal Systems
- Automata and Formal Languages
- Optimization Methods (including, Combinatorial Optimization)
- Coding Theory
- Novel Data Structures
- Computational Learning Theory
- Complexity Theory (including, Circuit Complexity)
- Graph Algorithms
- Deduction
- Combinatorics
- Algorithms
- Probabilistic and Randomized Methodologies
- Approximation Methods
- Parametrized Complexity (including, Kolmogorov, ...)
- Non-Linear Dynamics and Chaos
- Computational Biology and Bioinformatics
- Mathematical Foundations of Computer Science
- Cryptography
- Novel Compression Methods
- Database Theory
- Queuing Methods
- Pansystems
- Randomness in Computing
- Economics and Computation
- Satisfiability Testing
- Foundations of Computer Security
- Model Checking and Computer-Aided Verification
- Models of Computation
- Computational Geometry
- Semantics, Concurrency and Type Theory
- Scheduling Methods
- Models of Internet Computing
- Theoretical aspects of other computer science fields: computational science, databases, information retrieval, networking, privacy, security, ...
- Other emerging topics