Scope of Conference
The aim of the conference is to provide an international forum for industry professionals and researchers to deliberate and state their research findings, discuss the latest advancements and explore the future directions in the emerging areas of Engineering and Technology. The conference aims to bring together both novice and experienced scientists with developers, to meet new colleagues, collect new ideas and establish new cooperation between research groups and provide a platform for researchers from academic and industry to present their original work and exchange ideas, information, techniques and applications in the field of Software Engineering, networking, Big Data, Cloud Computing, Data Analytics, IoT and other blooming areas of research.
Important Dates
| # | Event | Date |
|---|---|---|
| 1 | Paper Submission | September 20th, 2019 |
| 2 | Acceptance Notification | December 20th, 2019 |
| 3 | Registration and Camera Ready | January 20th, 2020 |
Call for Papers
Original Contributions are solicited on topics covered under broad areas such as (but not limited to):
• Artificial Neural Networks
• Bio- informatics
• Bio inspired algorithms
• Classification and Clustering
• Data Mining
• Evolutionary Algorithms
• Fuzzy systems
• Genetic algorithms
• Genetic programming and Evolutionary programming
• Geo- informatics
• Knowledge based networks
• Machine vision
• Optimization techniques
• Pattern recognition and Machine Learning
• Rough set theory
• Bio- informatics
• Bio inspired algorithms
• Classification and Clustering
• Data Mining
• Evolutionary Algorithms
• Fuzzy systems
• Genetic algorithms
• Genetic programming and Evolutionary programming
• Geo- informatics
• Knowledge based networks
• Machine vision
• Optimization techniques
• Pattern recognition and Machine Learning
• Rough set theory
• Computational intelligence methods for the three-dimensional modelling
• Computational methods for image and signal recovery from sparse data
• Computational methods for image filtering, enhancement and segmentation
• Computational methods for signal recovery
• Computational methods for speech recognition
• Dynamic information acquisition and extraction from imaging sensors
• GPS data processing
• Learning algorithms for adaptive signal processing
• Model-based data inversion
• Statistical signal processing
• Unconventional sensing of image data
• Artificial intelligence system design
• Natural language processing
• Robotics and automation
• Human machine interaction
• VLSI design of intelligent systems
• Computational methods for image and signal recovery from sparse data
• Computational methods for image filtering, enhancement and segmentation
• Computational methods for signal recovery
• Computational methods for speech recognition
• Dynamic information acquisition and extraction from imaging sensors
• GPS data processing
• Learning algorithms for adaptive signal processing
• Model-based data inversion
• Statistical signal processing
• Unconventional sensing of image data
• Artificial intelligence system design
• Natural language processing
• Robotics and automation
• Human machine interaction
• VLSI design of intelligent systems
• Ad Hoc networks optimization techniques
• Applications of computational intelligence in design of wireless networks
• Cognitive Wireless Sensor Networks
• Computational Intelligence and Energy efficient Protocols in WSN
• Computational Intelligence and Routing in WSN
• Distributed and Parallel Algorithms for Smart WSN
• Learning Patterns from Sensor Sources
• Pervasive computing
• Computational methods to Cardiovascular and respiratory mechanics
• Computational intelligence in Medical image analysis
• Intelligent Medical device design
• EEG and EMG signal processing
• Health care models design
• Medical imaging (MRI, Ultrasound, Ophthalmological imaging, Neuro imaging, etc)
• Numerical modelling of organs
• Patient-specific modelling
• Surgical simulation
• AI in Tumour modelling
• Telemedicine
• Applications of computational intelligence in design of wireless networks
• Cognitive Wireless Sensor Networks
• Computational Intelligence and Energy efficient Protocols in WSN
• Computational Intelligence and Routing in WSN
• Distributed and Parallel Algorithms for Smart WSN
• Learning Patterns from Sensor Sources
• Pervasive computing
• Computational methods to Cardiovascular and respiratory mechanics
• Computational intelligence in Medical image analysis
• Intelligent Medical device design
• EEG and EMG signal processing
• Health care models design
• Medical imaging (MRI, Ultrasound, Ophthalmological imaging, Neuro imaging, etc)
• Numerical modelling of organs
• Patient-specific modelling
• Surgical simulation
• AI in Tumour modelling
• Telemedicine
PUBLICATION
All the accepted papers will be considered for publishing
in Springer series
"Intelligence and Evolutionary Computations in Engineering Systems".
Organising Committee
Dr. B. Umamaheswari, Prof.
Dr. S. Usa, Prof & Chairman
Dr. R. P. Kumudhini Devi, Prof
Dr. P. Lakshmi, Prof
Dr. G. Uma, Prof
Dr. P. Vanaja Ranjan, Prof
Dr. P. Valsalal, Prof
Dr. S. Hosimin Thilagar, Prof
Dr. Sanjib Kumar Patnaik, Prof
Dr. P. Somasundaram, Prof
Dr. V. Senthilkumar, Prof
Dr. R. Ramesh, Prof
Dr. K. Udayakumar, Prof
Dr. A. Kavitha, Prof
Dr. K. Latha, Assoct. Prof
Mr. S. Muthukumar, Assoct. Prof
Dr. V. Gowrisree Assoct. Prof
Dr. K. Rathnakannan Assoct. Prof
Dr. V. Gomathi Assoct. Prof
Ms. S. Uma, Asst. Prof
Dr. S. Ganesh Kumar, Asst. Prof
Mr. N. Radhakrishnan, Asst. Prof
Dr. S. V. Anbuselvi, Asst. Prof
Dr. A. Sivaprakasam, Asst. Prof
Dr. M .Vijayalaxmi, Asst. Prof
Mrs. T. Sudar oli Selvi, Asst. Prof
Dr. V. Kayalvizhi
Dr. S. Gayathri
Dr. B. Hemamalini
Mrs. T. Arunguvai
Mrs. A. Kokila
Mrs. M. Kiruthiga
Mrs. K. Kanimozhi
Mr. R. Sathyanarayanan
Mr. V.S. Saravana Sathish
Mrs. T. Yuvapriya
Mrs. N. Monigaa
Mr. K. Aqeel Ahamed
Ms. A. Nivetha
Mr. E. Ramachandran