Track-1: Track-2: Algorithms Applications Parallel and Distributed Machine Algorithms Learning Combinatorial and Big Data Graph Algorithms processing and Scheduling and Load applications Balancing Algorithms Artificial Numerical Algorithms Intelligence Randomized, Natural Approximation, and Language Streaming Algorithms Processing for Parallel Processing Data mining, Locality-Aware, Information Power/Energy-Aware retrieval Algorithms, Computer Optimization vision, Image Algorithms processing Complexity Theory Pattern Algorithms for Big recognition Data/Data Intensive Audio and Parallel Computing speech Algorithms for Security processing and Privacy Computational Fault-tolerant science Algorithms applications Network and Scientific Peer Algorithms computing applications E-commerce applications, Web services Cloud computing applications, Biomedical applications, Emerging applications in Healthcare, Engineering, etc. Track-3: Track-4: Education Systems Computing and Data Ad hoc, Sensor, Science Literacy Vehicular, across all Science, Underground Technology, and and Underwater Social Science Networks Disciplines,Introductory Cloud, Cluster, Computer Science Grid and P2P Course Sequence Computing, Parallel, Distributed virtualization and High Performance Cryptography Computing and Applied courses,Computational Mathematics Science courses Distributed Computing
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. Track-2: Algorithms Parallel and Distributed Algorithms Combinatorial and Graph Algorithms Scheduling and Load Balancing Algorithms Numerical Algorithms Randomized, Approximation, and Streaming Algorithms for Parallel Processing Locality-Aware, Power/Energy-Aware Algorithms, Optimization Algorithms Complexity Theory Algorithms for Big Data/Data Intensive Parallel Computing Algorithms for Security and Privacy Fault-tolerant Algorithms Network and 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 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 Peer
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