IEEE International Advance Computing Conference

Call For Papers

All Accepted and presented Papers will be submitted to IEEE Xplore for consideration. IEEE Conference #48062, ISBN No. 978-1-7281-4392-7

Track 1

Advances in High Performance Computing

Adhoc and Sensor Networks
Network Security
Social Media and Networking
Multi-Core Processing
Databases and Data Mining Applications
Distributed Databases
Query and Search Engine Optimization
Software Engineering
Software Project Management
Algorithms for Numerical Linear Algebra and Data Structures
Load Balancing, Scheduling and Resource Management in Networks.
Large Scale Graph Analytics
High Performance Computing
Big Data Computing and its Applications
Hardware Acceleration for Parallel Applications
Parallelism in Scientific Data Visualization and Visual Analytics
Scientific/Engineering/Industrial Applications and Workloads
Exascale Computing and Cloud Platforms
Data Center Architectures and Services
Parallel Languages, Programming Environments and Performance Assessment
Hybrid Parallel Programming with GPUs and Accelerators

Track 2

Advances in Data Science

Mathematical, Probabilistic and Statistical Models and Theories
Machine Learning Theories, Models and Systems
Knowledge Discovery Theories, Models and Systems
Manifold and Metric Learning
Deep Learning and Deep Analytics
Scalable Analysis and Learning
Heterogeneous Data/Information Integration
Data Pre-Processing, Sampling and Reduction
Dimensionality Reduction
Feature Selection, Transformation and Construction
Large Scale Optimization
High Performance Computing for Data Analytics
Architecture, Management and Process for Data Science
Data Analytics, Machine Learning and Knowledge Discovery
Data Science Meets Social Science
Security, Trust and Risk in Big Data
Data Integrity, Matching and Sharing
Privacy and Protection Standards and Policies
Privacy Preserving Big Data Access/Analytics
Social Impact and Social Good

Track 3

Advance of Artificial Intelligence in Interdisciplinary areas

Application of hybrid artificial intelligence approaches for hydraulic problems.
Using artificial neural networks for estimation of the energy consumption obtained by dams and hydropower plants.
Swarm intelligence for optimum weight of the structures.
Metaheuristic optimization algorithm in design optimization of 2D and 3D steel or concrete structure.
Genetic programming for large-scale civil engineering problems.
Application of fuzzy logic in civil engineering problems.
Machine learning for mechanical problems in civil engineering.
Optimization model for single- and multiobjective solutions for construction management.
Application of AI in Traffic Control and Safety.
Application of AI in machine design
Applications of AI in fluid dynamics
Modeling Analysis CAD/CAM/CAE
Applications of AI in CFD
Advances in FEA/FEM
eep learning of NC/CNC Machines
RF/ Antenna/Microwaves
Wireless sensor networks / Ad-hoc sensor networks
Cognitive radio
Machine type communication (MTC) /Device to Device communication (D2D)
MIMO / Massive MIMO/ mmWave communication
Cellular IoT / NB- IoT/ LoRa / SigFox
Optical signal processing
Radar signal processing
Signal and image processing
Audio signal processing
CAD for VLSI
Analog VLSI
System on Chip (SoC)
Network on Chip (NoC)
VLSI signal processing
Smart grid Systems
Energy Storage Technologies and Systems
Power Converter Topologies
IoT Applications
Big Data and Deep learning Applications
Computational intelligence and Optimization
Information Security and Privacy
Industrial Automation
Renewable Power Conversion Technologies
Smart Electric Vehicles
Distributed Generations and Systems
Power and Control Systems
Restructured PowerSystems

Track 4

Advances in Machine Learning and Deep Learning

Active Machine Learning
Manifold Learning
Fuzzy Learning
Kernel Based Learning
Genetic Learning
Hybrid Models
Fuzzy Approaches to Parameter Estimation
Bayesian Estimation Approaches
Recurrent Neural Networks
Large Scale Item Categorization
Machine Learning over the Cloud
Learning Paradigms
Clustering, Classification and Regression Methods
Supervised, Semi-Supervised and Unsupervised Learning
Algebra, Calculus, Matrix and Tensor Methods in Context of Machine Learning
Reinforcement Learning
Optimization Methods
Parallel and Distributed Learning
Recurrent Neural Networks and its Applications
Tensor Learning
Multi-Scale Learning
Unsupervised Feature Learning
Recommender Systems
Bioinformatics and Biomedical Informatics
Healthcare and Clinical Decision Support
Collaborative Filtering
Computer Vision
Human Activity Recognition
Information Retrieval
Cybersecurity
Natural Language Processing
tatistical Learning Theory

This is a blind peer-reviewed conference. Authors are cordially invited to submit papers through on line paper submission process (Easy Chair submission system) before 15th August, 2019.

Instructions For Authors

Authors are requested to submit their file in the format specified in the IEEE Paper Template.
Prospective authors are invited to submit original technical papers for publication in the IACC 2019.

Important: IEEE Policy Announcement The IEEE reserves the right to exclude a paper from distribution after the conference (including its removal from IEEE Xplore) if the paper is not presented at the conference.

Papers are reviewed on the basis that they do not contain plagiarized material and have not been submitted to any other conference at the same time (double submission). These matters are taken very seriously and the IEEE will take action against any author who engages in either practice.
Follow these links to learn more:

An author of an accepted paper is required to register for the conference and present the paper at the conference. All accepted papers will be submitted in IEEE Xplore for consideration. Non-refundable registration fees must be paid prior to the due date of registration. For authors with multiple accepted papers, one registration for each paper is required.

Paper Submission:

Prospective authors are invited to submit papers of five (5) to eight (8) A4 pages (including tables, figures and references) in standard IEEE double-column format (it is absolutely necessary to respect the Styleguide for Papers). A blind peer-review process will be used to evaluate all submitted papers. Each full registration for the conference will cover a maximum of one paper; each student registration will cover a single paper only. Extra paper, 2nd paper and onwards, must be registered separately.

The format instructions in the template must be followed, it is notably important to use the right paper format: A4 to have the right margins not to use page numbering (page footer must be empty)

The IEEE Citation Reference may help you with the references in your paper. Get the list of IEEE recommended keywords from https://www.ieee.org/documents/taxonomy_v101.pdfor send an empty e-mail to keywords@ieee.org with "IEEE Keywords" in the subject line.

All submissions should be written in English with a maximum paper length of eight (8) printed pages including figures, without incurring additional page charges. One (1) additional page is allowed with a charge of USD 20, if accepted.