BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//KIIT Deemed to be University - ECPv6.16.3//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-ORIGINAL-URL:https://kiit.ac.in
X-WR-CALDESC:Events for KIIT Deemed to be University
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:Asia/Kolkata
BEGIN:STANDARD
TZOFFSETFROM:+0530
TZOFFSETTO:+0530
TZNAME:IST
DTSTART:20180101T000000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;VALUE=DATE:20190308
DTEND;VALUE=DATE:20190310
DTSTAMP:20260613T012618
CREATED:20190125T050545Z
LAST-MODIFIED:20190125T050545Z
UID:18865-1552003200-1552175999@kiit.ac.in
SUMMARY:National Seminar on Machine Learning for Signal & Image Processing  with focus on  “AI in Healthcare & Energy”
DESCRIPTION:Scope of the SeminarMachine 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. \nThe 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. \n  \nSeminar Topics\nMachine learning techniques in signal & image processing\nMachine learning techniques in energy\nArtificial intelligence in healthcare \nComputer-aided disease diagnosis using ML\n\nImportant dates \nMarch 08-09\, 2019 Chief Patron\nProf. Achyuta Samanta\,  Founder\, KIIT & KISS\, Bhubaneswar  \nPatron\nProf. Hrushikesha Mohanty\, Vice Chancellor\, KIIT  \nAdvisory Committee\nProf. Sasmita Samanta\, Registrar\, KIIT\nDr. S. Nanda\, Head CIR\, KIIT\nProf. A. K. Sen\, Chairman UG\, KIIT \n Program Chair \n\nProf.  A. K. Ray\, Dean\, School of Electronics Engineering\, KIIT \n\nConvener   \n\nProf. S. K. Sabut\, School of Electronics Engineering\, KIIT\n\n Organizing Committee \n\nProf. A. Datta\nProf. U.P. Singh\nProf. S.S. Singh\nProf. N.K. Rout\nProf. S. Sahu\nProf. P.K. Patra\nProf. J.K. Das\nProf. A. Deb \nProf. S. Nanda \nProf. D.K. Rout\nProf. D. Mukherjee\n\nResource Persons\nDr. B. K. Panigrahi\, Dept. Electrical Engineering\, IIT Delhi\nDr. Tapan Kumar Gandhi\, Dept. of Electrical Engineering\, IIT Delhi\n\n\nDr. Niladri Bihari Puhan\, School of Electrical Science\, IIT Bhubaneswar\n\n\nDr. M. Sabarimalai Manikandan\, School of Electrical Science\, IIT Bhubaneswar\n\n\nDr. S. K. Sabut School of Electronics Engineering\, KIIT\n\nRegistration*Registration FormWho Should Attend \n\nTarget 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 05th March\, 2019 by email.\n\n Contact: \n\nProf. S. K. Sabut \nMob. +91-8763070027 / 7978300242\nEmail: sukanta.sabatfet@kiit.ac.in\n\n Registration Fee \n\nFaculties/scientists                            Rs. 500/-\nResearch scholars & students           Rs. 300/-\n\n  \nDully 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 \nA/C No. 50373043902\, \nIFSC code: ALLA0212027
URL:https://kiit.ac.in/event/international-conference-on-advances-in-materials-and-manufacturing-engineering-icamme-2019-2-2/
LOCATION:KIIT Deemed to be University\, KIIT\, Bhubaneswar\, Odisha\, 751024\, India
CATEGORIES:Conference
ATTACH;FMTTYPE=image/jpeg:https://kiit.ac.in/wp-content/uploads/2019/01/machine-learning.jpg
END:VEVENT
END:VCALENDAR