ISDAIOT Data Analytics Workshop Contest
This contest is organized as a part of the online virtual event, IEEE Symposium on Data Analytics and Internet of Things (ISDAIOT 2020) held during 29 Sept – 3 Dec 2020.
IEEE Victorian Section presents “IEEE Symposium on Data Analytics and Internet of Things (ISDAIOT 2020)”, a virtual technical event series during 29th September - 19th November 2020. The symposium includes diverse sessions including technical talks, workshops, poster competitions and panel discussions to promote the use of Data Analytics and IoT Technologies for real-time applications. This symposium provides a unique opportunity for industry and academic experts as well as students to get an insight on Data Analytics and Internet of Things, through a series of presentations and hands-on workshops, delivered by experts in the field. The two-hour hands-on data analytics workshop was delivered during Thursdays of October (October 8, 2020, 5.00-7.00 PM). This event is organized by the University of Melbourne Student Branch in collaboration with Computational Intelligence Society, Internet of Things Community under IEEE Victorian Section with the sponsorship of IEEE Victorian Section, Region 10 Membership and Leadership Training Fund and Student Engagement Grant - the University of Melbourne. A data analytics competition is also held at the end of the workshop, and the top three winners are awarded.
Date and Time
- Start time: 17 Nov 2020 05:00 PM
- End time: 19 Nov 2020 08:00 PM
- All times are (UTC+10:00) Canberra
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- Co-sponsored by Victorian Section
Workshop Chair: Dr. Nandakishor completed his PhD from the electrical and electronic engineering department at the University of Melbourne. His research focuses on biomedical image analytics involving the development of novel artificial intelligence solutions and decision support systems for diagnostic assistance. He has also worked on a range of data analytics projects exploring the application of machine learning and related technologies to different fields and applications.
Dr Sourav Mondal
Dr. Sourav Mondal completed his PhD from the electrical and electronic engineering department at the University of Melbourne. His research focuses on the strategic deployment of artificial Intelligence-enhanced cloudlets for low-latency human-to-machine applications; this work involved several interdisciplinary areas like machine learning, cloud and edge computing, mathematical optimisation and game theory, communication systems and networks. Prior to this, he has worked as LTE L3 Femtocell Modem Software development Engineer in Qualcomm India Pvt. Ltd., Hyderabad for two years.
Data Analytics Workshop Contest: A total of five sessions were organized in the workshop with the contest being released after the fourth session. The Prizes were given to Best Coder, Best Women Coder and Second Best Coder among the submitted entries.
The workshop attendees and contest participants did an amazing job during the pandemic crisis.
The workshop session recordings are available here: Session Recordings