IEEE ADIT Student Branch - Events

One day symposium on “Recent Advances in IoT with Big-data analytics using Machine Learning”

By April 1, 2019 April 23rd, 2019 No Comments

Following Technical sessions were arranged:

Keynote Speech: Recent Advances of Machine Learning for Internet of Things and Data Analytics (Dr. Sanjay Chaudhary)

Expert Lecture-I: Machine Learning for Internet of Things and Data Analytics : A Case Study (Dr. Vipul Dabhi)

Expert Lecture-II: Demonstration of Real-time Application using Big Data and Machine Learning (Dr. Amit Ganatra)

Expert Lecture-III: Machine Learning Systems for IoT Services using Mobile Computing (Dr. Sasidhar P S Kalyan)

Expert Lecture-IV: Edge Computing for Internet of Things (Dr. Minal Patel)

The total 52 participants have registered, found the technical sessions very interesting and they actively interacted with the speakers during the Q&A session. Certified List of participants is attached to this report for record. The topics covered during the workshop are of ongoing research work and so it generated a lot of curiosity amongst the participants. The knowledge imparted and the information shared, by the expert speakers during the workshop, will be valuable and useful to the students in their professional careers. This symposium has given more insights into different machine learning methods which deal with the challenges in IoT and big-data. This symposium presented taxonomy of machine learning algorithms for exploring different applications of real-world problems into domains of IoT and big-data. Most of the participants are already working on these research topics, so the symposium has helped them a lot. The total expenditure of one day symposium is Rs. 28,096/-. The expenditure includes Registration kit, catering expenses, T.A. & Honorarium to experts, Certificate, Stationary & miscellaneous expenses. The organizing committee is very much thankful to IEEE ADIT student branch for technically sponsoring such a wonderful program for participants.

No of Participants: 52

Event Type: Technical

Event Level: State

Date: October 6, 2018

Duration: One Days

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