Workshop on Wild and Crazy Ideas on the interplay between IoT and Big Data
Workshop Date: Friday, 11 January 2019
The Internet of Things (IoT) coupled with Big Data is considered as the pillars of next-gen technologies and are set to transform and disrupt many areas of business and everyday life. The Workshop on Wild and Crazy Ideas on the interplay between IoT and Big Data (WACI 2019) will continue the tradition set by previous editions of this workshop in bringing together researchers, industries and practitioners to present and discuss their latest achievements and innovations in the area of IoT and Big Data.
We welcome submissions that identify challenges, report experiences, and discuss progress towards design, solutions or vision/ideas of IoT and Big Data applications. Contributions describing techniques applied to real-world problems, novel networking architectures, system designs and applications and interdisciplinary research involving integration of IoT devices (including wearables), mobile, edge and cloud resources and machine learning techniques are especially encouraged.
Relevant topics include but are not limited to:
- Applications, case studies and deployments of IoT and Big Data systems
- Novel system, networking, service architectures for specific IoT verticals
- Trust, Security, Privacy, and Authentication in IoT
- Dependability, adaptation, intermittency, and assembly in IoT
- Designing and deploying IoT systems for healthcare, retail, manufacturing, transportation and security
- Deployments and evaluation of sensor networks in large-scale industrial settings
- Experiences in managing wearable devices, smart-home systems and mobile sensor networks
- Novel system designs, deployments and applications of aerial vehicles
- Last-mile communication challenges and novel networking protocols
- Use of low power wireless technologies in IoT devices and applications
- System designs to balance network delay, network throughput, and device energy trade-offs
- Challenges and solutions in IoT data and stream processing at the edge and in the cloud
- Design and evaluation of machine learning models on IoT data
- High dimensional big data (images, videos) analysis using machine/deep learning
- Submissions must not exceed 6 pages (and not be less than 3 pages) in the IEEE conference proceedings format, including all figures, tables, and references.
- Reviews will be single-blind: authors name and affiliation should be included in the submission.
- Submissions must follow the formatting guidelines as given on IEEE Website.
- All workshop papers (full papers - both regular and invited) will appear in conference proceedings and submitted to IEEE Xplore as well as other Abstracting and Indexing (A&I) databases.
- All papers must be in Adobe Portable Document Format (PDF) and submitted through the WACI Workshop submission site on EDAS.
Go to the EDAS new paper submission page for the workshop: http://edas.info/N25118
|Paper Submission||5th November 2018
|Notification of Acceptance||30th November 2018|
|Camera-ready Submission||14th December 2018|
|Workshop Date||11th January 2019|
Technical Programme Committee Members (Tentative)
- Aditya Siripuram, IIT Hyderabad, India
- Ahsan Morshed, Swinburne University of Technology, Australia
- Amit Kumar Saha, Cisco, India
- Anirban Mondal, Ashoka University, India
- Ankit Dubey, NIT Goa, India
- Antony Franklin, IIT Hyderabad, India
- Arash Asadi, TU Darmstadt, Germany
- Arkady Zaslavsky, CSIRO, Australia
- Arun Kumar Sangaiah, VIT University, India
- Chinmoy Kundu, Queen’s University Belfast, UK
- Dimitrios georgakopoulos, Swinburne University of Technology, Australia
- Ellis Solaiman, Newcastle University, UK
- Garima Mishra, TCS Research and Innovation, India
- Jean Paul Calbimonte, University of Applied Sciences and Arts Western Switzerland (HES-SO)
- Karan MItra, Lulea University of Technology, Sweden
- Kewen Liano, Swinburne University of Technology, Australia
- Manik Gupta, London South Bank University, UK
- Martin Serrano, National University of Ireland, Galway (NUI Galway)
- Massimo Donelli, University of Trento, Italy
- Prabhat Upadhyay, IIT Indore, India
- Prasant Misra, TCS Research & Innovation, India
- Rajiv Ranjan, Newcastle University, UK
- Ramona Trestian, Middlesex University, UK
- Saguna, Lulea University of Technology, Sweden
- Tamma Bheemarjuna Reddy, IIT Hyderabad, India