Computational intelligence has emerged as a powerful tool for information processing, decision making, and knowledge management and has been successfully developed in areas such as neural networks, fuzzy systems, and evolutionary algorithms. It is apparent that computational intelligence will play an increasingly important role in tackling engineering problems.
Recently, data generation at the scale of terabytes, petabytes and exabytes have become common place in many scientific and commercial domains. Streaming data, social media content, electronic medical records, astronomy surveys, genomic and proteomic studies and similar areas generate data at a scale that is becoming increasingly difficult to manage using traditional database technologies. Big Data is an umbrella term used for such massive collections of data. Besides volume, analytics has to face challenges like heterogeneity, timeliness, and complexity, velocity and privacy issues. The other challenge is to fuse data sources - of same type or multi-modal and perform joint analytics on the integrated data. The scale of such data poses significant challenges for analytics, going beyond what can be supported by conventional data, storage and retrieval models.
The goal of the conference is to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of Computational Intelligence and Data Analytics. It also provides a premier interdisciplinary platform for researchers, practitioners and educators to present and discuss the most recent innovations, trends, and concerns as well as practical challenges encountered and solutions adopted in the fields of Computational Intelligence and Data Analytics.
Talks by industry experts on the state-of-the-art in Computational Intelligence and Data Analytics.
Lectures by eminent scientists designed to inspire and inform.
Presentations by innovative researchers.
Discussion-oriented sessions and networking breaks to enable collaborations.
PG Students, Research Scholars, Faculty members, Industry Professionals working in the area of Computational Intelligence and Data Analytics.
AI and Soft computing techniques
Pattern Recognition
Speech and Signal Processing
Digital Image\Video Processing
Digital forensics
Medical Image Processing
Human Computer Interaction
Natural Language Processing
Big Data Technologies
Machine Learning and Data Mining
Deep Learning and Reinforcement Learning
Natural Language Processing and Text Ming
Probabilistic Modeling, Time Series Analysis
Fuzzy Sets, Rough Sets, Genetic Algorithms
Evolutionary Computing
Non-linear Dynamics
Social Media Analytics
Sentiment Analysis and Emotion Mining
Predictive Modeling and Forecasting
Visualization, Virtual reality and Augmented reality
Cryptography and network security
Wireless sensor networks
Bioinformatics
IoT, Cloud, GIS and Block Chain Applications
Mobile Computing, Robotics
The conference welcomes participation and presentation of faculty members, researchers, industrial professionals and students of Computer Science/Engineering/Application, IT, Mathematics and Statistics.
Original research papers, survey papers, case studies and academic or scholarly articles to extended versions of previously published papers are invited to be presented in the conference. The papers should be organized so as to accommodate abstract, introduction, state-of-the-art, objective, used methodology, obtained results, and references. Submitted papers should be original and contain contributions of theoretical, experimental or application nature, or be unique experience reports. All the accepted papers will be published in the conference proceedings.
Papers must be submitted within the stipulated time and electronic submission in PDF is required. The page limit for a full-length paper is 6 pages and IEEE format.
Railway Station Kozhikode Railway Station to University of Calicut: 45 min (20.5 km) via NH17
KSRTC Stand Kozhikode Ksrtc Bus Stand to University of Calicut: 50 min (24 km) Via NH17
Calicut International Airport Calicut International Airport to University of Calicut: 20 min (10.9 km) via Pallikkal Bazar - Airport Road and Kakkanchery-Kottappuram Road
0494-240 7422/7325
+91-94957 93094
Dr. Lajish V. L (Conference Chair) Head, Department of Computer Science University of Calicut, Kerala-673635, India
cidalab@uoc.ac.in