Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it learn for themselves. In the past decade, machine learning has given us self-driving cars, speech recognition, effective web search, and a vastly improved understanding of the human genome.

The objective of the program is to discuss the theory and implementation of machine learning techniques in the focused area of health and energy. This national seminar is aimed to provide the state-of-art knowledge on various aspects of machine learning techniques and artificial intelligence in signal and image analysis. Participants will develop a basic understanding of the principles of machine learning and derive practical solutions using predictive analytics. The two day national seminar includes a series of talks by eminent speakers from IITs.

 

• Machine learning techniques in signal & image processing
• Machine learning techniques in energy
• Artificial intelligence in healthcare 
• Computer-aided disease diagnosis using ML

Chief Patron
Prof. Achyuta Samanta,  Founder, KIIT & KISS, Bhubaneswar 

Patron
Prof. Hrushikesha Mohanty, Vice Chancellor, KIIT 

Advisory Committee
Prof. Sasmita Samanta, Registrar, KIIT
Dr. S. Nanda, Head CIR, KIIT
Prof. A. K. Sen, Chairman UG, KIIT

 Program Chair

• Prof.  A. K. Ray, Dean, School of Electronics Engineering, KIIT 

Convener 

• Prof. S. K. Sabut, School of Electronics Engineering, KIIT

 Organizing Committee

• Prof. A. Datta
• Prof. U.P. Singh
• Prof. S.S. Singh
• Prof. N.K. Rout
• Prof. S. Sahu
• Prof. P.K. Patra
• Prof. J.K. Das
• Prof. A. Deb
• Prof. S. Nanda
• Prof. D.K. Rout
• Prof. D. Mukherjee

• Dr. B. K. Panigrahi, Dept. Electrical Engineering, IIT Delhi
• Dr. Tapan Kumar Gandhi, Dept. of Electrical Engineering, IIT Delhi

• Dr. Niladri Bihari Puhan, School of Electrical Science, IIT Bhubaneswar

• Dr. M. Sabarimalai Manikandan, School of Electrical Science, IIT Bhubaneswar

• Dr. S. K. Sabut School of Electronics Engineering, KIIT

Who Should Attend

• Target audience for the seminar includes faculty, research scholars and UG/PG students of electronics, electrical, instrumentation and computer science engineering. Please confirm your participation latest by 05^th March, 2019 by email.

 Contact:

• Prof. S. K. Sabut 
• Mob. +91-8763070027 / 7978300242
• Email: [email protected]

 Registration Fee 

• Faculties/scientists                            Rs. 500/-
• Research scholars & students           Rs. 300/-

 

Dully signed registration form should be send in advance. On spot registration is also possible. Pay through online to KIIT University, Bhubaneswar at Allahabad Bank, KIIT CAMPUS-I, Bhubaneswar

A/C No. 50373043902,

IFSC code: ALLA0212027