March 9th, 2021 
Daniela Lopez de Luise Publisher: SPRINGER NATURE
July 26-29, 2021, Luxor (MGM), Las Vegas, USA
ICAI'21
23rd International Conference on Artificial Intelligence
https://www.american-cse.org/csce2021/conferences-ICAI
ICDATA'21
17th International Conference on Data Science
https://www.american-cse.org/csce2021/conferences-ICDATA
****************************************************************
PAPER SUBMISSION PORTAL: https://american-cse.org/
This year's research congress will be a hybrid event that combines
a “live” in-person event with a “virtual” online component.
ICAI'21 SCOPE: TOPICS OF INTEREST INCLUDE, BUT NOT LIMITED TO:
PROLOGUE: Artificial Intelligence (AI) is the science and engineering
of making intelligent machines and systems. AI is an important multi-
disciplinary field which is now an essential part of technology
industry, providing the heavy lifting for many of the most challenging
problems in computer science. Since Machine Learning has strong ties
with AI, the conference also covers the field of Machine Learning. The
list of topics below is by no means meant to be exhaustive.
ARTIFICIAL INTELLIGENCE:
– Brain models, Brain mapping, Cognitive science
– Natural language processing
– Fuzzy logic and soft computing
– Expert systems
– Decision support systems
– Automated problem solving
– Knowledge discovery
– Knowledge representation
– Knowledge acquisition
– Knowledge-intensive problem solving techniques
– Knowledge networks and management
– Intelligent information systems
– Intelligent web-based business
– Intelligent agents
– Intelligent networks
– AI and evolutionary algorithms
– Intelligent tutoring systems
– Reasoning strategies
– Distributed AI algorithms and techniques
– Neural networks and variations, including: Deep Learning
– Heuristic searching methods
– Constraint-based reasoning and constraint programming
– Intelligent information fusion
– Learning and adaptive sensor fusion
– Search and meta-heuristics
– Multisensor data fusion using neural and fuzzy techniques
– Integration of AI with other technologies
– Social intelligence (markets and computational societies)
– Social impact of AI
– Emerging technologies
– Applications (including: computer vision, signal processing,
military, surveillance, robotics, medicine, pattern recognition,
face recognition, finger print recognition, finance and
marketing, stock market, education, emerging applications, …)
MACHINE LEARNING; MODELS, TECHNOLOGIES & APPLICATIONS:
– Statistical learning theory
– Unsupervised and Supervised Learning
– Multivariate analysis
– Hierarchical learning models
– Relational learning models
– Bayesian methods
– Meta learning
– Stochastic optimization
– Heuristic optimization techniques
– Neural networks and variations (eg. Deep Learning)
– Reinforcement learning
– Multi-criteria reinforcement learning
– General Learning models
– Multiple hypothesis testing
– Markov chain Monte Carlo (MCMC) methods
– Non-parametric methods
– Graphical models
– Gaussian graphical models
– Bayesian networks
– Particle filter
– Cross-Entropy method
– Ant colony optimization
– Time series prediction
– Fuzzy logic and learning
– Inductive learning and applications
– Grammatical inference
– Graph kernel and graph distance methods
– Graph-based semi-supervised learning
– Graph clustering
– Graph learning based methods
– Motif search
– Aspects of knowledge structures
– Computational Intelligence
– Knowledge acquisition and discovery techniques
– General Structure-based approaches in information retrieval,
web authoring, information extraction, and web content mining
– Latent semantic analysis
– Aspects of natural language processing
– Intelligent linguistic
– Computational Neuroscience
ICDATA'21 SCOPE: TOPICS OF INTEREST INCLUDE, BUT NOT LIMITED TO:
– ALGORITHMS FOR BIG DATA:
Data and Information Fusion
Algorithms (including Scalable methods)
Signal Processing
Simulation and Modeling
Data-Intensive Computing
Parallel Algorithms
Testing Methods
High-dimensional Big Data
Multilinear Subspace Learning
Sampling Methodologies
Streaming
– BIG DATA FUNDAMENTALS:
Novel Computational Methodologies
Algorithms for Enhancing Data Quality
Models and Frameworks for Big Data
Graph Algorithms and Big Data
Computational Science
Computational Intelligence
– INFRASTRUCTURES FOR BIG DATA:
Cloud Based Infrastructures (storage & resources)
Grid and Stream Computing for Big Data
High Performance Computing
Autonomic Computing
Cyber-infrastructures and System Architectures
Programming Models and Environments to Support Big Data
Software and Tools for Big Data
Big Data Open Platforms
Emerging Architectural Frameworks for Big Data
Paradigms & Models for Big Data
– BIG DATA MANAGEMENT AND FRAMEWORKS:
Database and Web Applications
Federated Database Systems
Distributed Database Systems
Distributed File Systems
Distributed Storage Systems
Knowledge Management and Engineering
Massively Parallel Processing (MPP) Databases
Novel Data Models
Data Preservation and Provenance
Data Protection Methods
Data Integrity and Privacy Standards and Policies
Novel Data Management Methods
Crowdsourcing
Stream Data Management
Scientific Data Management
– BIG DATA SEARCH:
Multimedia and Big Data
Social Networks
Data Science
Web Search and Information Extraction
Scalable Search Architectures
Cleaning Big Data, Acquisition & Integration
Visualization Methods for Search
Time Series Analysis
Recommendation Systems
Graph Based Search and Similar Technologies
– PRIVACY IN THE ERA OF BIG DATA:
Cryptography
Threat Detection Using Big Data Analytics
Privacy Threats of Big Data
Privacy Preserving Big Data Collection
Intrusion Detection
Socio-economical Aspect of Big Data + Privacy & Security
– APPLICATIONS OF BIG DATA:
Big Data as a Service
Big Data Analytics in e-Government and Society
Applications in Science, Engineering, Healthcare, Visualization,
Business, Education, Security, Humanities, Bioinformatics,
Health Informatics, Medicine, Finance, Law, Transportation,
Retailing, Telecommunication, all Search-based applications, …
– DATA MINING/MACHINE LEARNING TASKS:
Regression/Classification
Time series forecasting
Segmentation/Clustering/Association
Deviation and outlier detection
Explorative and visual data mining
Web mining
Mining text and semi-structured data
Temporal and spatial data mining
Multimedia mining (audio/video)
Mining “Big Data”
– DATA MINING ALGORITHMS:
Artificial Neural Networks / Deep Learning
Fuzzy logic and rough sets
Decision trees/rule learners
Support vector machines
Evolutionary computation/meta heuristics
Statistical methods
Collaborative filtering
Case based reasoning
Link and sequence analysis
Ensembles/committee approaches
– DATA MINING INTEGRATION:
Mining large scale data/big data
Data and knowledge representation
Data warehousing and OLAP integration
Integration of prior domain knowledge
Metadata and ontologies
Agent technolog ies for data mining
Legal and social aspects of data mining
– DATA MINING PROCESS:
Data cleaning and preparation
Feature selection and transformation
Attribute discretisation and encoding
Sampling and rebalancing
Missing value imputation
Model selection/assessment & comparison
Induction principles
Model interpretation
– DATA MINING APPLICATIONS:
Bioinformatics
Medicine Data Mining
Business / Corporate / Industrial Data Mining
Credit Scoring
Direct Marketing
Database Marketing
Engineering Mining
Military Data Mining
Security Data Mining
Social Science Mining
Data Mining in Logistics
We particularly encourage submissions of industrial applications
and case studies from practitioners. These will not be evaluated
using solely theoretical research criteria, but will take general
interest and presentation into consideration.
ALL ACCEPTED PAPERS WILL BE PUBLISHED BY
Publisher: Springer Nature – Book Series:
Transactions on Computational Science & Computational
Intelligence
https://www.springer.com/series/11769 (ISSN: 2569-7072)
Indexation: Subject to Springer science indexation which includes:
online Springer Link (link.springer.com/), Scopus
(www.info.scopus.com), SCI Compendex, EI Compendex
(www.ei.org), EMBASE, Web of Science, Inspec, ACM digital
library, Google Scholar, EBSCO, and others.
INTRODUCTION:
We anticipate having between 1,000 and 2,000 participants in the
event (CSCE Congress) that this event is part of. In order
to leverage synergy between various CS & CE fields, the program
committees of a number of major research meetings have their
2021 events held at one venue (same location and dates). This joint
research event is composed of a number of tracks (joint-conferences,
sessions, workshops, poster and panel discussions); all
will be held simultaneously, same location and dates: July 26-29,
2021. For the complete list of joint conferences, refer to:
https://www.american-cse.org/csce2021/conferences
This year's Congress will be a hybrid event that combines a “live”
in-person event with a “virtual” online component.
We anticipate having between 1,000 and 2,000 participants in the
Congress. The congress includes 20 major tracks, composed of: 122
technical, research, and panel sessions as well as a number of
keynote lectures. 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.
See the web links below for a small subset of publications based on
papers accepted for this set of conferences: many of these books and
journal special issues have already received the top 25% downloads
in their respective fields and/or identified as “Highly Accessed” by
publishers and/or science citation index trackers.
https://www.american-cse.org/csce2021/special_issues
https://www.american-cse.org/csce2021/publisher
https://www.springer.com/series/11769?detailsPage=titles
KEYNOTE LECTURES AND TUTORIALS:
There will be between 10 and 15 Keynote lectures and Invited Talks;
speakers include world-renowned scientists and educators. Featured
Keynote Speakers in recent years have included:
– Prof. David A. Patterson (pioneer, architecture, UC Berkeley)
– Prof. Ian Foster (known as Father of Grid Computing; U. of Chicago & ANL)
– Prof. John Koza (known as Father of Genetic Programming; Stanford U.)
– Prof. Barry Vercoe (Founding member of MIT Media Lab, MIT)
– Dr. K. Eric Drexler (known as Father of Nanotechnology)
– Dr. Jose L. Munoz (NSF Program Director and CTO of NSF Office of
Cyber-infrastructure)
– Prof. Michael J. Flynn (Stanford U.; known for Flynn's taxonomy)
– Dr. Firouz Naderi (former Head of NASA Mars Exploration Program;
former Administrator and/or Director of Jet Propulsion Lab,
CalTech/NASA; NASA's JPL Solar System Exploration
– Prof. Ruzena Bajcsy (pioneer, VR, UC Berkeley)
– Prof. Viktor K. Prasanna (pioneer, U. of Southern California)
– Prof. David Lorge Parnas (pioneer of software engineering)
– Prof. Eugene H. Spafford (Executive Director, CERIAS and Professor,
Purdue University)
– Prof. Haym Hirsh (Dean, Cornell University & former NSF admin)
– Prof. Alfred Inselberg (Tel Aviv U, Israel; Senior Fellow, San Diego
Supercomputing Center; Inventor of the multidimensional system of
Parallel Coordinates and author of textbook)
– Prof. H. J. Siegel (Abell Endowed Chair Distinguished Professor of ECE
and Professor of CS; Director, CSU Information Science and Technology
Center (ISTeC), Colorado State University, Colorado, USA)
– Prof. Amit Sheth (LexisNexis Eminent Scholar; Founder/Executive Director,
Ohio Center of Excellence in Knowledge-enabled Computing (Kno.e.sis))
– Prof. John H. Holland (known as Father of Genetic Algorithms;
U. of Michigan)
– Prof. Lotfi A. Zadeh (Father of Fuzzy Logic, UC Berkeley)
– Dr. Leonid I. Perlovsky (Harvard University and CEO LP Information Tech)
– Dr. James A. Crowder (Chief Engineer, Raytheon Intelligence)
– Prof. Diego Galar (Director & Pro-Vice-Chancellor, Lulea University of
Technology, Sweden)
– and over 200 other distinguished speakers.
The Congress is among the top five largest annual gathering of
researchers in computer science, computer engineering, data science,
artificial intelligence, STEM, and applied computing. We anticipate
to have attendees from about 75 countries and territories. To get a
feeling about the conferences' atmosphere, see some delegates photos
available at (over 2,000 photos): https://photos.ucmss.com/
SUBMISSION OF PAPERS: Submission portal: https://american-cse.org/
All accepted papers will be published by
Publisher: Springer Nature – Book Series:
Transactions on Computational Science & Computational
Intelligence
https://www.springer.com/series/11769 (ISSN: 2569-7072)
Indexation: Subject to Springer science indexation which includes:
online Springer Link (link.springer.com/), Scopus
(www.info.scopus.com), SCI Compendex, EI Compendex
(www.ei.org), EMBASE, Web of Science, Inspec, ACM digital
library, Google Scholar, EBSCO, and others.
Prospective authors are invited to submit their papers by uploading
them to the evaluation web site at: https://american-cse.org/
Submissions must be uploaded by the due date (see IMPORTANT DATES)
and must be in either MS doc or pdf formats (maximum of 10 pages for
Regular Research Papers; maximum of 6 pages for Short Research
Papers; and maximum of 3 pages for Extended Abstract/Poster Papers –
the number of pages includes all figures, tables, and references).
ALL REASONABLE TYPESETTING FORMATS ARE ACCEPTABLE (many authors use
Springer's one-column style format for their submissions or IEEE
style format: later, the authors of accepted papers will be asked
to follow a particular typesetting format to prepare their final
papers for publication). Papers must not have been previously
published or currently submitted for publication elsewhere.
The first page of the paper should include the followings:
– Title of the paper
– Name, affiliation, postal address, and email address of each
author (identify the name of the Contact Author)
– Abstract (between 100 and 120 words)
– A maximum of 5 topical keywords that would best represent the
work described in the paper
– Write the type of the submission as “Regular Research Paper”,
“Short Research Paper”, or “Extended Abstract/Poster Paper”.
– The actual text of the paper can start from the first page
(space permitting).
Submissions are to be uploaded to the submission/evaluation web site
portal at https://american-cse.org/
Type of Submissions/Papers:
– Full/Regular Research Papers (maximum of 10 pages):
Regular Research Papers should provide detail original research
contributions. They must report new research results that
represent a contribution to the field; sufficient details and
support for the results and conclusions should also be provided.
The work presented in regular papers are expected to be at a
stage of maturity that with some additional work can be published
as journal papers.
– Short Research Papers (maximum of 6 pages):
Short Research Papers report on ongoing research projects. They
should provide overall research methodologies with some results.
The work presented in short papers are expected to be at a stage
of maturity that with some additional work can be published as
regular papers.
– Extended Abstract/Poster Papers (maximum of 3 pages):
Poster papers report on ongoing research projects that are still
in their infancy (i.e., at very early stages). Such papers tend
to provide research methodologies without yet concrete results.
Each paper will be peer-reviewed by two experts in the field for
originality, significance, clarity, impact, and soundness. In cases
of contradictory recommendations, a member of the conference program
committee would be charged to make the final decision (accept/reject);
often, this would involve seeking help from additional referees.
Papers whose authors include a member of the conference program
committee will be evaluated using the double-blinded review process.
(Essay/philosophical papers will not be refereed but may be considered
for discussion/panels).
PROPOSAL FOR ORGANIZING WORKSHOPS/SESSIONS:
The Congress is composed of a number of tracks. A track can be a session,
a workshop, or a symposium. A session will have at least 6 papers; a
workshop at least 12 papers; and a symposium at least 18 papers. Track
chairs will be responsible for all aspects of their tracks, including:
soliciting papers, reviewing, selecting, … The names of track chairs
will appear as Track Editors in the conference proceedings and they
will be presented achievement awards at appropriate professional levels
during the Award Ceremony on site at the congress. Track chairs who
attract a sufficient number of solid papers can propose to edit books
with a major publisher based on the extended versions of the papers
accepted in their tracks (the congress will facilitate and help such
track chairs to get the publisher's approval: such as Springer,
Elsevier, …).
Proposals to organize tracks (sessions, workshops, or symposiums) should
include the following information: name and address (+ email) of proposer,
his/her biography, title of track, a 100-word description of the topic of
the track, the name of the conference the track is submitted for
consideration (i.e., ICAI, ICDATA), and a short description on how the
track will be advertised (in most cases, track proposers solicit papers
from colleagues and researchers whose work is known to the track
proposer). E-mail your track proposal to cs@american-cse.org . We would
like to receive the track proposals as soon as possible.
CAREER, JOB, & EDUCATION FAIR:
https://www.american-cse.org/csce2021/career_fair
The CSCE 2021 Congress plans to host a one-day Career, Job, & Education
Fair on July 27, 2021. This annual strategic event provides the congress
attendees and participants with opportunities to connect with employers
and educators and learn more about career options. Corporations and
Universities can also exhibit their products, services, and degree programs
during the event. Interested parties should contact cs@american-cse.org .
IMPORTANT DATES:
As Soon As Possible: Track/Session/Workshop/Symposium Proposals
March 31, 2021: Submission of papers: https://american-cse.org/
– Full/Regular Research Papers (maximum of 10 pages)
– Short Research Papers (maximum of 6 pages)
– Abstract/Poster Papers (maximum of 3 pages)
April 11, 2021: Notification of acceptance (+/- two days)
May 10, 2021: Final papers + Copyright + Registration
July 26-29, 2021: ICAI'21: 23rd International Conference on Artificial
Intelligence
https://www.american-cse.org/csce2021/conferences-ICAI
+
ICDATA'21: 17th International Conference on Data Science
https://www.american-cse.org/csce2021/conferences-ICDATA
+
Affiliated/joint events:
https://www.american-cse.org/csce2021/
CONTACT:
Questions and inquiries should be sent to:
Conference Secretariat: cs@american-cse.org