Proceedings of the 2nd International Conference on Data Engineering and Communication Technology

Optimization of Constrained Engineering Design Problems Using Cohort Intelligence Method.- Application of Blow Fish Algorithm for Secure Transactions in Decentralized Disruption Tolerant Networks.- A Rig-based Formulation and a League Championship Algorithm for Helicopter Routing in Offshore Transportation.- Music Composition Inspired by Sea Wave Patterns Observed from Beaches.- Multi-Graph Based Intent Hierarchy Generation to Determine Action Sequence.- Modeling Runoff Using Feed Forward-back Propagation and Layer Recurrent Neural Networks.- Discussion on Problems and Solutions in Hardware Implementation of Algorithms for a Car type Autonomous Vehicle.- Obstacle Detection for Auto Driving Using Convolutional Neural Network.- Cryptography Algorithm Based on Cohort Intelligence.- Optimal Rate Allocation for Multi Layer Networks.- Eradication of Rician Noise in Orthopedic Knee MR Images Using Local Mean Based Hybrid Median Filter.

Anand J. Kulkarni holds a Ph.D. in Distributed Optimization from Nanyang Technological University, Singapore, an MS in Artificial Intelligence from the University of Regina, Canada, Bachelor of Engineering from Shivaji University, India and Diploma from the Board of Technical Education, Mumbai. He worked as a research fellow on a cross-border, supply-chain disruption project at Odette School of Business, University of Windsor, Canada. Currently, he is working as head and associate professor at the Symbiosis Institute of Technology, Symbiosis International University, Pune, India. His research interests include optimization algorithms, multi-objective optimization, continuous, discrete and combinatorial optimization, multi-agent systems, complex systems, cohort intelligence, probability collectives, swarm optimization, game theory, self-organizing systems and fault-tolerant systems. He is the founder and chairman of the Optimization and Agent Technology (OAT) Research Lab. Anand has published over 30 research papers in peer-reviewed journals and conferences.

Suresh Chandra Satapathy holds a Ph.D. in Computer Science, and is currently working as a professor and head of the Department of CSE, PVPSIT, Vijayawada, Andhra Pradesh, India. In 2015-17 he was the national chairman of the Computer Society of India's Div-V (Educational and Research), which is the largest professional society in India. He was also secretary and treasurer of the Computational Intelligence Society's IEEE Hyderabad Chapter. He is a senior member of IEEE. He has been instrumental in organizing more than 18 international conferences in India and has been corresponding editor for over 30 books. His research activities include swarm intelligence, machine learning, and data mining. He has developed a new optimization algorithm known as Social Group Optimization (SGO) published in a Springer Journal. He has delivered a number of keynote addresses and tutorials at various events