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Authors are invited to submit manuscripts that demonstrate original unpublished research.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.

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
Natural Language Processing
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, Engineering, etc.
Social Networks and Applications


Track-2: Algorithms
Parallel and Distributed Algorithms
Combinatorial and Graph Algorithms
Scheduling and Load Balancing Algorithms
Numerical Algorithms
Randomized, Approximation, and Streaming Algorithms
Locality-Aware, Power/Energy-Aware Algorithms, Optimization Algorithms
Complexity Theory
Algorithms for Big Data/Data Intensive Computing
Algorithms for Security and Privacy, Cryptography
Fault-tolerant Algorithms
Network and Peer-to-Peer Algorithms


Track-3: Systems
Ad hoc, Sensor, Vehicular, Underground and Underwater Networks
Cloud, Cluster, Grid and P2P Computing, virtualization
Cryptography and Applied Mathematics
Distributed Computing
Embedded Systems and Robotics, Embedded Systems and VLSI
Multi-FPGA reconfigurable systems and architectures
Enterprise, data center, and storage-area networks
Performance evaluation of networks and distributed systems
High Performance Computing
Evolutionary Computing
Heterogeneous Computing Models and Systems
Information Security
Intelligent Systems, Next generation Internet
Parallel and Multi-core Computing
Security, Trust and Privacy
Smart phones and Security
Social Network behavior modeling and analysis
System/network-on-chip
Wireless Networking


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 Multidisciplinary Curriculum
IT Entrepreneurship Education
Assessment Methodology
Employers’ Experiences with and Expectation of Graduating Students.