The 1^st International Conference on Electrical and Information Technology (IEIT) is an annual, reputable event organized with a motivation to provide an excellent international platform for the academicians, researchers, engineers, industrial participants and research students around the world to share their research findings.

The 1st IEIT will be performed online using Zoom platform on September 14^th – 15^th, 2021. This year, IEIT theme is Artificial intelligence systems, sensors, and wireless network implementations for industry standard applications. It addresses researchers and industries from all areas of advanced technology and science. It provides an international forum to present advances in the state of the art, identify emerging research topics, and together define the future of these exciting research domains. The conference will be enriched with renowned keynote speakers.

IEIT aims to provide a platform for academicians, researchers, students and practitioners to promote and to share ideas and knowledge and to create international networks for sustaining development of the science and technology in the future.

The scope of the conference will cover but not be limited to:

Electronic and Embedded System

• Antenna Technology
• Computational Electromagnetic and Electromagnetic Simulation Technology
• DSP real-time encoding technology and signal
• Embedded Systems
• Micro-optoelectronic Device Technology
• Modern Circuit Theory and Applications
• RF Components
• Sensor Research

Communication and Networking

• Affective Computing
• Biometric Sensors and Identification
• Brain Informatics Sensing and Processing
• Brain-Computer Interface/Brain-Machine Interface
• Computer Networks
• Crowd Sensing, Sourcing and Wisdom
• Deep Learning and Urban Computing
• e-Learning and MOOCs
• Human-centric Cyber-Physical Systems
• Internet of Thinking and Creation
• IoP Applications, Implementation,Exploitation and Challenges
• IoP Social and Ethical Issues
• IoP System Modeling, Simulation and Optimization
• Mobile and Smart Healthcare
• Network Communications
• Network Security
• Security, Privacy and Trust Issues in IoP
• Social Computing, Social Internet of Things and Swarm Intelligence Networks
• Wearable Technology and Body Sensor Networks

Applied Mathematics, Computational Methods and Algorithm, Data and Signal Processing

• Algorithm design and optimization
• Audio/Speech Processing and Coding
• Complex Network Systems Theory and its Applications
• Computer Vision
• Fuzzy Optimization
• Image Processing
• Linear and Nonlinear Programming
• Signal Processing for Communications

Information Technology and Computer Science

• Computer Networks and Communication
• Distributed Computer System
• Information Security
• Information Storage
• IT in Education
• Management Information Systems
• Operating System
• Software Engineering
• Trusted Computing and Fault-Tolerant Computing
• Web Technology

Big Data

• Algorithms and Programming Techniques for Big Data Processing
• Big Data Analysis Search and Mining
• Big Data Analytics and Metrics
• Big Data as a Service
• Big Data Encryption
• Big Data in Mobile and Pervasive Computing
• Big Data Open Platforms
• Big Data Persistence and Preservation
• Big Data Quality and Provenance Control
• Cloud Computing Techniques for Big Data
• Foundational Models for Big Data
• Management Issues of Social Network Big Data
• Models and Languages for Big Data Protection
• Privacy Preserving Big Data Analytics
• Representation Formats for Multimedia Big Data

Artificial Intelligence, Automation and Control

• Artificial Intelligence and Machine Learning
• Automation Control System
• Automation in Mechanical Manufacturing
• Intelligent Decision Support
• Intelligent Instrumentation and Detection Technology
• Intelligent Robot
• Intelligent System Design
• Mechatronics System Engineering
• NC programming technology

Machine Learning

• Active Learning
• Case-based Reasoning
• Classification
• Cost-Sensitive Learning
• Data Mining
• Deep Learning
• Ensemble Methods
• Evolutionary Computation
• Feature Selection/Construction
• Kernel Methods
• Learning Graphical Models
• Learning Preferences or Rankings
• Learning Theory
• Machine Learning
• Neural Networks
• Online Learning
• Reinforcement Learning
• Relational Learning
• Semi-Supervised/Unsupervised Learning
• Structured Learning
• Time-series/Data Streams
• Transfer, Adaptation, Multi-task Learning