About Event

The second International Conference on Innovative Mechanisms for Industry Applications (ICIMIA 2020) is being organized on 5-7, March 2020 by the Dayananda Sagar College of Engineering. ICIMIA 2020 will provide an outstanding international forum for sharing knowledge and results in all fields of engineering and Technology. ICIMIA provides quality key experts who provide an opportunity in bringing up innovative ideas. Recent updates in the in the field of technology will be a platform for the upcoming researchers. The conference will be Complete, Concise, Clear and Cohesive in terms of research related to Innovative Mechanisms for Industrial needs.

PPT Topics

Track 1: Industrial Internet of Things (IIoT)
Industrial Wireless Networks and Applications
Internet of Intelligent Industrial Things
Innovative Industrial Communication Networks Sensor Networks
Smart Multi-Agent Systems for Industrial Applications
Remote Diagnosis and Development
Intelligent Infrastructure and Guidance Systems
Design and Architecture of IoT eHealth Systems
Forensics, Security, Safety and Privacy in eHealth and IoT
Technological Focus for Smart Environments
Data Analysis and Visualization for Smart City, Green Systems and Transport Systems
Traffic Theory, Modeling and Simulation in IoT
Next Generation Networks
Pattern Recognition and Behavioral Investigations for Vehicles, Green Systems and Smart City
Cloud Networking and Virtualization for Industrial Framework
Cloud based Social and Mobile Computing in Industrial Frameworks
Smart Information Exchange and data Integration technologies
Ubiquitous Mobile data analytics for industrial domain
5G Networks for Industry Digitalization
Track 2: Artificial Intelligence
Smart Service Oriented Manufacturing Technologies
Automated Machine Learning based Industrial Applications
Supervised and Unsupervised learning models for industrial scenarios
Scalable and Interoperable Industrial Architectures
Digital Twins for Industrial Expertise
Intelligent Industrial Optimization and Control Strategies
Cyber-Physical Systems for a Distributed Industrial Internet
Security and Privacy preserving models for Industrial Internet
Smart Evaluation and estimation of Industrial Safety
AI for Application-level Industrial Domains
Track 3: Control, Autonomous Systems and Robotics
Smart Industrial Automation and Robotics
Distributed Decision making Architectures
Humanoid Robots
Industrial; Networks and Control Systems
Machine Vision
Industrial Robot Dynamics and Control
Robotic Mechanical Drives
Optimal and Adaptive Control techniques
Robotic Programming Applications
Smart Navigation and Vision Systems
Human-System Interface Design
Sustainable Control and Manufacturing Strategies
Performance Evaluation and Optimization
Automated Supply Chain and Logistics Engineering
Resource and Knowledge Management in Industry
Automated Decision Support Systems
Computer-based Manufacturing Technologies
Track 4: Machine Learning and Deep Drives
Deep Learning based Smart Machining Systems
Deep learning and Autonomous Driving Models
End-to-End Simulation using Deep Drives
Vision-based Autonomous Models
Deepdrive Simulator and Driving Dataset
Complex Systems Modelling and simulation
Simulation in Automotive Systems
Smart industrial Interoperability Models
Multimodal interactions
Semantic and Cognitive Aspects in Industries
Predictive Analytics and Simulation tools
Feature Extraction and Classification techniques
Model-based Industrial Manufacturing and Quality Control Techniques
Track 5: Cloud Computing
Cognitive cloud based solutions for various smart industries
Cloud Computing Fundamentals
Cloud Computing Enabling Technology
Mobile Cloud Computing and Services
Cloud Risk, Challenges, and Governance
Model-driven Web Service Engineering
Internet of Services
Service-oriented Architecture
Big Data Cloud Services
Cloud Resource Virtualization and Composition
Distributed Management of Clouds
Mobile Reliability, Availability, Scalability and Performance
Security Issues in Mobile Systems Software and Hardware
Smart Mobile Computing SaaS on Clouds
Track 6: Big Data
Big data for Performing Predicative analytics in industrial domain
Data Mining and Visualization
Computational Intelligent Frameworks for Big Data Processing
Multi-Agent Systems: Models, Architectures and Applications
Machine learning for resource allocation in wireless networks
Computational Intelligent Frameworks
Biomedical Informatics
Pattern Recognition
Intelligent Internet Systems
Mobile and Pervasive Computing
Multi-Agent Systems
Web Intelligence
Track 7: Mobile Networks and Social Networks
Energy-efficiency in 5G for IoT applications
Security and privacy concerns in 5G wireless communications
Data security, privacy and reliability for IoT towards 5G
Agent based intrusion surveillance
Mobile Systems and Applications
Mobile Data Management and Analytics
Mobile Multimedia
Web Mining and Web Intelligence
Secure Measures in the Social Networks
Social Networking
Track 8: Electrical and Electronics Systems
Electrical Engineering
Power Electronics and Energy Efficient Drives
Smart grids and sustainable systems
Feedback Control Systems
Medical electronics and its applications
Biomedical Signal processing Techniques
Renewable Power Conversion Technologies
Multimedia Transmission
Channel modeling and simulation
Channel coding, modulation, multiplexing
Advanced signal processing for transmission
Digital image and signal processing
MISO and MIMO processing

Event Theme

inovate

Departments:

CSE ECE IT

How to reach Dayananda Sagar College of Engineering, Bengaluru

DAYANANDA SAGAR COLLEGE OF ENGINEERING, SHAVIGE MALLESHWARA HILLS, KUMARSWAMY LAYOUT, BANGALORE - 78

Related Links:

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