IEEE

Call For Papers

Track 1:

High Performance Computing

  • Artificial intelligence
  • Cloud computing
  • Machine learning
  • Mobile computing
  • Soft computing
  • Green computing
  • Big data analytics

Track 2:

Advances in Circuits, Communication and Networks

  • Artificial intelligence
  • Cloud computing
  • Machine learning
  • Mobile computing
  • Soft computing
  • Green computing
  • Big data analytics

Track 3:

Systems, Circuits and Computing

  • Embedded Computing
  • Mixed-signal SoC applications
  • Distribution System Planning
  • Reliability for system planning, operation, control and protection
  • Electrical System Modeling and Simulation
  • Transients, Propagation, measurement and modeling

Track 4:

Image and multimedia processing

  • Statistical learning and pattern recognition
  • Advanced Signal Processing
  • Multimedia Signal Processing
  • Image and video Processing
  • Audio and Speech Processing
  • Biomedical Signal Processing
  • Signal processing of applications of power electronics and drives
  • Power quality

Track 5:

Innovations in technology

  • Robotics and Automation
  • Internet of things
  • Smart Grid
  • Advanced control systems
  • Intelligent Instrumentation
  • Process Control
  • Multi-core Processing
  • System analytics
  • Virtual Instrumentation
  • Micro Grid

Track 6:

Advanced Algorithms

  • Approximation Algorithms
  • Bioinformatics Algorithms
  • Computational Biology
  • Computational Geometry
  • Data Compression Algorithm
  • Parallel and Distributed Algorithms
  • Exponential Algorithm
  • External-Memory Algorithms
  • Exponential Algorithm
  • Game Theory
  • Graph Algorithms
  • Network Algorithms
  • On-line Algorithms
  • Optimization Algorithms
  • Parallel Algorithms
  • Parameterized Algorithms
  • Pattern Matching Algorithm
  • Randomized Algorithms
  • Streaming Algorithms
  • String Algorithms

Track 7:

Databases and Data Management

  • Clustering
  • Databases and Data Mining Applications
  • Database Tuning
  • Distributed Databases
  • Feature Selection and Feature Extraction
  • High Performance Data Mining Algorithms
  • Information Retrieval
  • Knowledge Discovery in Database
  • Knowledge Management
  • Query Optimization
  • Search Engine Optimization
  • Data Mining

Track 8:

Teaching and Learning

  • Futuristic trends in Engineering education
  • Outcome based education
  • Teaching learning pedagogies
  • Blended learning in engineering
  • E- learning and E-assessment