Topics and Scope of the Conference:
IACC-2017 is soliciting original, previously unpublished and high quality research papers addressing research challenges and advances in the tracks mentioned below. The topics of the conference include, but are not limited to:


Scope of Conference:
International Advance Computing Conference(IACC-2017) is an international colloquium which aims to construct an academic platform for researchers, academicians and industry to discuss and share the developments and futuristic knowledge along with the new trends. The conference is soliciting original, previously unpublished and high quality research papers addressing research challenges and advances in the tracks mentioned below. The topics of the conference include, but are not limited to:

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, Networks and Signal Processing

Adhoc networks
Network security
Social media and networking
Wireless communications
Sensor Networks
Smart sensors and MEMS
RF and Microwave circuits

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