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IEEE ICRISST 2024

All papers must be submitted electronically through Microsoft CMT. Authors are advised to carefully read the ICRISST-2024 submission instructions. In accordance with IEEE requirements, only PDF files will be accepted.

Papers are invited in the form of regular manuscript. Note that short manuscripts are not considered. Papers must be submitted through the conference submission website Microsoft CMT portal and must confirm to the submission policy requiring that all manuscripts be in 2-column format and meet strict page limits. The length for the final manuscript is limited to six (6) pages.

All papers should be strictly following IEEE conference paper template.

https://www.ieee.org/conferences/publishing/templates.html

Template for uploading the papers in IEEE format:

Word format: Click here 

Latex format: Click here

Overleaf: Click here

All accepted and presented papers will be submitted for possible inclusion in IEEE XPLORE digital library.

To submit your article in IEEE ICRISST 2024, please follow this link. https://cmt3.research.microsoft.com/ICRISST2024/

Track 1

Intelligent and Secure Mobile & Wireless Networks

  • Indoor and Outdoor Mobility

  • Extended Satellite Services

  • Mobile Sensing and Optimizations

  • Wearable-based Motion Sensing and Measurement

  • Wearable body-to-body Networks

  • Emerging Sensing Methods

  • Automatic Personal Fitness Assistance

  • Cooperative and Cognitive Vehicular Networks

  • Software Defined Networks (SDN) Based Mobility Management

  • Energy Harvesting

  • Large-scale Array of Dense Distributed Antennas

  • 3GPP LTE Enhancements and 5G

  • Resource Allocation in Dense 5G Deployments

  • Network Slicing Models

  • 5G/6G Network Slicing

  • 6G, 7G and 8G Network and High-speed Internet

  • 5G, 6G Spectrum Allocation and Management

  • Performance Evaluation, Simulation and Modeling of Wireless Networks and Systems

  • Security in Wireless and Mobile Environment

  • Convergence and Social Mobility

  • Advancements in AI and ML in Wireless Networks

  • Data Encryption and Authentication

  • Next Generation Wireless Personal Communication

  • Adhoc and Wireless Sensor Networks

  • Future of Smart Antennas

Track 2

VLSI & Embedded Systems, IoT and Computational Intelligence Systems

  • Analog and Mixed Signal VLSI Design

  • Computer Aided Design (CAD) for VLSI

  • Advances in Low Power VLSI Design

  • AI and ML Hardware

  • Fault-Tolerance Systems

  • Biomedical and Neuromorphic Circuits

  • RF IC Design

  • Hardware Design for IP Protection and Security

  • Embedded Processors & SoC Architectures

  • Hardware and Software Co-design

  • Embedded Real-Time Operating Systems and their Usage

  • Wearable Computing Systems

  • Reconfigurable Computing

  • IoT Architectures and Protocols

  • Sensors and Actuators for IoT

  • IoT Edge, Fog and Cloud Computing

  • Network on Chip (NoC) Architecture

  • Security and Privacy in Traditional IoT and Edge Native Systems

  • Traditional IoT Systems

  • Industrial & Medical IoT

  • AI & ML for Emerging Embedded & IoT Systems

  • Embedded Vision

  • Power Management in Embedded Systems

  • Embedded Robots

Track 3

Smart City for Sustainable Development

  • Technologies for clean water and its conservation

  • Disposal and reuse of bio-degradable and non-biodegradable waste

  • Avoiding harmful radiations to conserve flora and fauna

  • Technologies for clean lakes, tanks and ground water improvement

  • Intelligent Transportation Systems

  • Smart Technologies for reducing air, water, land and sound pollution

  • Improving Quality of Life of Inhabitants including Stress Management

  • Green and Sustainable Solutions for Smart Cities and Corridors

  • Use of Technology for Societal Interactions

Track 4

Image/Video/Multimedia Signal Processing

  • Applied Signal Processing Systems

  • Audio and Acoustic Signal Processing

  • Bio-imaging and Signal Processing

  • Computational Imaging

  • Image, Video and Multidimensional Signal Processing

  • Information Forensics and Security

  • Machine Learning for Signal Processing

  • Sensor Array and Multichannel

  • Signal Processing for Communication and Networking

  • Signal Processing Theory and Methods

  • Speech and Language Processing

Track 5

Optical Communication Networks and RF/Microwave Devices

  • Frequency-selective Surfaces

  • Electromagnetic Bandgap Materials

  • Fiber Optic Sensing, Instrumentation and Applications

  • MIMO Antennas

  • Active Antennas

  • Reconfigurable Antennas

  • 3D Printed Antennas and Structures

  • Ferroelectric, Ferrite and Acoustic Wave Components

  • Passive Components (Filters, Couplers, Transitions, etc)

  • Microwave Photonics

  • Novel Waveguides

  • Metasurface Based Antenna

  • Antennas and Antenna Array

  • Microwave Circuits, Devices and Microwave Applications

  • Computational Electromagnetics

  • Optical Fiber Technology

  • Optical Devices, Sensors and Optical Signal Processing

  • Optical Wireless Techniques

  • Photonic Applications

  • Augmented and Virtual Reality in Communication

Track 6

MEMS & Nano Technology

  • Micro-actuators, Micro-sensors and Micro-mechanisms

  • Compliant Mechanisms and Actuators

  • Microscale Power Generation

  • Miniaturized Energy Harvesting

  • Miniature Manufacturing Machines

  • Mechatronics and Control Issues in Micromachines

  • Smart Circuits for Micromachines

  • Micromechanical Devices and Robotics for Life Science

  • Biomechatronics at Small Scale

  • Microscale Flight and Swimming

  • Mechanic Diagnostic of Diseases

  • Micro-Opto-Mechanical Devices

  • 3D and 4D Printings and Microfabrication Techniques for Micro-actuators and Micro-mechanisms

  • Smart Materials, Meta Materials, Lead-free Materials for Microsystems

  • Micromechanics and Nonlinear Coupling in MEMS Oscillators

  • Computation and Theoretical Methods in Microsystem Designs

Track 7

Applications for DERs / EVs Integrated to Grid

  • AI and ML Towards Sustainable Solar Energy

  • AI and Intermittency Management of Renewable Energy

  • AI Impact on Energy and Utilities

  • AI and IoT in Improving Resilience of Smart Energy Infrastructure

  • ML-based Hybrid Demand-side Controller for Renewable Energy Management

  • ML-based Robust and Reliable Design on PCMs-PV Systems with Multilevel Scenario Unicertainty

  • ML Enabling Techniques for Reducing Energy Consumption of IoT Devices

  • Grids of Microgrids

  • Building-to-Grid Convergence

  • Intelligent Computing for Smart Grid Applications

Track 8

Soft Computing Techniques in Power Systems

  • Renewable Energy Informatics Based on SCADA

  • Intelligent Condition Monitoring for Solar and Wind Energy Systems

  • Artificial Intelligence Methods for Hybrid Energy System

  • Real-time Decision Making for Renewable System

  • Energy Intelligence - The Smart Grid Perspective

  • Role of Artificial Intelligence in Renewable Energy

  • Applications of Big Data, cloud Computing and Blockchain for Renewable Energy Optimization

  • Agent-based Peer-to-peer Energy Trading with Cost-benefits Business Models

  • IoT and Sustainable Energy System: Risk and Opportunity

  • Intelligent Computing for Smart Grid Applications

Track 9

Power Electronics and Energy Efficient Devices

  • Energy Storage Technologies and Their Parameter Optimization

  • Application of AI to Power Electronics and Drive Systems

  • Electrical Vehicles & Smart Grid

  • Power Electronic Systems and Energy Efficient Drives

  • Communication Protocols and Systems Used in Electric Transportation and Smart Grids

  • Modeling, Simulation and Control of EV Systems

  • Wired and Wireless Charging Systems

  • Charging Infrastructure, Standards and Guidelines

  • Machine Learning and IoT Applicable to Sustainable Energy and Electric Transportation

  • New Battery Technologies

  • Modeling of Power Converters in Electric Vehicles

  • Energy Efficiency and Optimal Control Technologies of Electric Vehicles

Conference Tracks

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