IEEE RAICS 2018 | IEEE Recent Advances in Intelligent Computational Systems 2018 December 6-8, 2018
IEEE Recent Advances in Intelligent Computational Systems 2018
December 6-8, 2018. Mascot Hotel, Trivandrum, Kerala.
“Smarter Systems for a Smarter World”
A conference by IEEE Kerala Section
Visit us at raics.in
IEEE RAICS 2018, the fourth edition of the International Conference on Recent Advances in Computational Systems organized by the IEEE Kerala Section, is scheduled to be held in Trivandrum, Kerala, India during December 6-8, 2018. This conference is a flagship event of IEEE Kerala Section and would cater to the frontier areas of intelligent computation and its diversified application in various technological fields. The theme of RAICS is “Smart systems for a smarter world”. The theme and tracks of the conference have been chosen considering the interest of various societies of IEEE, recent trends in the industry, and the state of art in the areas of intelligent computation systems. In addition to eight technical tracks, the IEEE RAICS 2018 conference has keynote addresses by reputed speakers, panel sessions, and open forums to facilitate interaction among young researchers, students, academicians, technologists, and engineers.
We are happy to announce the Keynote Speakers and Tutorials covered during the conference. They are as follows:-
Keynote Speakers
Tapan K Sarkar
Department of Electrical Engg and Computer ScienceSyracuse University, Syracuse, New York, USA
Yahia MM Antar
Department of Electrical and Computer EngineeringRoyal Military College of Canada, Kingson, ON, Canada
Magdalena Salazar Palma
Department of Signal Theory and CommunicationsCharles the Third University of Madrid28911 Leganés, Madrid, España
Kurien Issac
Department of Aerospace EngineeringIndian Institute of Space Science and TechnologyThiruvananthapuram, Kerala, India
For details on Keynote Speakers, visit https://raics.in/invited-speakers/
Tutorial 1: Neural Network to Deep Learning
Abstract: In this tutorial, We will discuss how the transition from Neural network to Deep learning had occurred. Further, a brief history of Deep Learning will be presented mainly highlighting the success achieved and criticism that the neural network community had undergone over years. We will mainly focus on various training algorithms used for Deep Learning, tricks that improve the learning. Finally, how to implement a simple ANN/CNN and show some important application of Deep Convolution Networks in computer vision.
Speaker: Dr. Deepak Mishra is currently an Associate Professor in the Department of Avionics, Indian Institute of Space Science and Technology.
Tutorial 2: Machine Learning and AI – From Theory to Practice
Abstract: In this tutorial, we cover some of the most important techniques and principles that are common across popular machine learning and deep learning algorithms and learn to apply them to few real-world problems. Covered topics shall include basic principles of supervised, unsupervised and reinforcement learning techniques, along with popular machine learning algorithms such as linear regression, logistic regression, Naive Bayes, KNN, K-means, decision tree and random forest, multi-layer perceptron and deep learning models such as CNN. We shall also touch upon applications of AI in emerging areas such as autonomous customer experience management and intelligent marketing automation.
Speaker: Jobin Wilson is a Principal Data Scientist – R&D at Flytxt.
For more details on Tutorials, visit https://raics.in/tutorials/
Important dates:
Submission portal opens: 5th June 2018.
Paper submission deadline: 10th September 2018
Notification of decision: 1st October 2018.
Final paper submission: 15th October 2018.
Conference dates: 6th – 8th December 2018
For inquiries, Write to us,
General Information regarding Conference: convenor@raics.in
Technical related information: tpc@raics.in
Publication related information: publication@raics.in
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E-notice circulated on behalf IEEE RAICS 2018 Conference Committee
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