Call for Papers
Authors are invited to submit manuscripts that demonstrate original unpublished research. Papers are limited to 6 single spaced pages. Please see the conference website for paper submission procedures and detailed guidelines. Authors are advised to ensure that their papers free of intentional as well as unintentional plagiarism. All submitted papers will be checked for the similarity score with the published literature using iThenticate services by EDAS. All papers with similarity score of more than 20 are likely to be rejected without review. Other papers will be peer reviewed on the basis of their clarity, originality, relevance and significance. Authors should submit their papers online at EDAS. Unregistered authors should first create an account on EDAS to log on.

CLICK HERE to download the Call for Papers

Papers are invited from the authors on the topics in the following four tracks of the conference.

Track-1: Applications
Machine Learning
Big Data processing and applications
Artificial Intelligence
Deep Learning
Natural Language Processing
Cognitive Computing
Artificial General Intelligence
Data mining, Information retrieval
Computer vision, Image processing
Pattern recognition
Audio and speech processing
Computational science applications
Scientific computing applications
E-commerce applications, Web services
Cloud computing applications
Biomedical applications
Emerging applications in Healthcare and Engineering
Smart Cities

Track-2: Algorithms
Parallel Algorithms and Distributed Algorithms
Combinatorial Algorithms and Graph Algorithms
Scheduling and Load Balancing Algorithms
Randomized, Approximation, Parameterized Algorithms
On-line and Streaming Algorithms
Locality-Aware, Power/Energy-Aware Algorithms
Optimization Algorithms
Complexity Theory
Cryptography and Theoretical Aspects of Security and Privacy
Fault-tolerant Algorithms
Network and Peer-to-Peer Algorithms
Evolutionary & Nature Inspired Algorithms
Bioinformatics Algorithms and Computational Biology
Quantum Computing
Algorithm Engineering
Algorithmic Game Theory
Computational Finance
Computational Geometry

Track-3: Systems
Ad hoc, Sensor, Vehicular networks
Cloud, Cluster, Grid, Distributed and P2P Computing, virtualization
Internet of Things
Fog Computing
Blockchain Systems
Cryptography and Applied Mathematics
Software Defined Networks
Embedded Systems and Robotics
Embedded Systems and VLSI
Multi-FPGA reconfigurable systems and architectures
Enterprise, data centre, and storage-area networks
Performance evaluation of networks and distributed systems
High Performance Computing
Heterogeneous Computing Models and Systems
Intelligent Systems, Next generation Internet
Parallel and Multi-core Computing
System Security, Trust and Privacy
Smart phones and Security
Social Network behavior, Modeling and Analysis
5G Communication

Track-4: Education
Computing and Data Science Literacy across all Science, Technology, and Social Science Disciplines
Introductory Computer Science Course Sequence
Parallel, Distributed and High Performance Computing courses, Computational Science courses
Computer Engineering and Computational Engineering courses
Curricular Issues in Computing Programs
Pedagogy for Computing courses
Systems, Networks, and Architecture courses
Programming Language and Tools
Algorithms, Automata and Discrete Math courses
Novel Elective courses, Cyber Security courses
Experience and Case Study reports
Laboratory, Projects, and Internship courses
Collaborative work and Peer learning
Integrated Multi-Disciplinary Curriculum
IT Entrepreneurship Education
Assessment Methodology
Employers’ Experiences with and Expectation of Graduating Students