2016 Ninth International Conference on Contemporary Computing (IC3 2016)

Applications

1. Distributed computing – Hadoop and Big Data
2. Service-Oriented Computing
3. Web Services
4. Software Engineering
5. Cloud Computing
6. Information Systems
7. E-Commerce
8. Pattern Recognition
9. Machine Learning and Natural Language Processing
10. Artificial Neural Networks
11. Data Mining
12. Information Retrieval
13. Image Processing
14. Computer Vision
15. Audio and Speech Processing 

Algorithms

1. Optimization Algorithms 
2. Complexity Theory 
3. Graph Algorithms 
4. Randomized Algorithms 
5. Approximation Algorithms 
6. Innovative Data Mining Algorithms 
7. Algorithms for Security and Privacy 
8. Numerical Algorithms
9. Scheduling and Load Balancing Algorithms
10. Fault-tolerant Algorithms
11. Network and Peer-to-Peer Algorithms
12. Parallel and Distributed Algorithms 

Systems

1. Ad hoc, Sensor, Vehicular, Underground and Underwater Networks 
2. Cloud, Cluster, Grid and P2P Computing, virtualization 
3. Cryptography and Applied Mathematics 
4. Distributed Computing 
5. Embedded Systems and Robotics, Embedded Systems and VLSI 
6. Multi-FPGA reconfigurable systems and architectures 
7. Enterprise, data center, and storage-area networks 
8. Performance evaluation of networks and distributed systems 
9. High Performance Computing 
10. Evolutionary Computing 
11. Heterogeneous Computing Models and Systems 
12. Information Security 
13. Intelligent Systems, Next generation Internet 
14. Parallel and Multi-core Computing 
15. Security, Trust and Privacy 
16. Smart phones and Security 
17. Social Network behavior, Modeling, and Analysis 
18. System/network-on-chip, Wireless Networking 

Education

1. Curricular Issues in computing programs 
2. Competencies and learning objectives 
3. Pedagogy for computing courses 
4. Assessment methodology 
5. Introductory Computer Science Sequence 
6. Systems, Networks, and Architecture courses 
7. Parallel and Distributed Computing courses 
8. Programming Language and Tools 
9. Algorithms, Automata and Discrete Math courses 
10. Novel Elective courses 
11. Experience and Case Study reports 
12. Cyber Security courses 
13. Laboratory, Projects, and internship courses 
14. Service learning, 
15. Collaborative work and Peer learning 
16. Computer engineering and Computational Engineering programs 
17. Integrated Multi-Disciplinary Curriculum 
18. IT Entrepreneurship education