The 1st International Conference on Technology Innovation and Data Sciences (ICTIDS) 2019 will be held on 11th -12th October in Kuala Lumpur, Malaysia. The conference is jointly organized by Lincoln University, Malaysia and Adikavi Nannaya University, India to endow with a terrific opportunity for both academic and industrial communities alike to address new trends, challenges and emerging technologies on topics relevant to today’s technology innovations and data sciences. It also serves as a dais of research collaboration among the experts. The aim of this conference is to bring together researchers, Scientists, Scholars and students in the area of technology innovation and data science for the propagation of original research results, innovative knowledge integration, and data integration. The objective of the conference is to support and assist the professionals, engaged in relevent fields to maintain the integrity and foster a sense of partnership amongst the professionals, engaged in these fields within areas of expertise.
The 1st International Conference on Technology Innovation and Data Sciences (ICTIDS) 2019 solicit papers in the areas of Computer Science, Information Technology, Computational Innovation, Computer Application and all relevant disciplines to a common forum. Original, unpublished research papers highlighting specific research domains from all viewpoints are invited from delegates all over the globe.
The proceedings of ICTIDS will be published in “Lecture Notes in Networks and Systems” series (LNNS)
**Indexing: The books of this series are submitted to ISI proceedings, SCOPUS, Google Scholar and Springerlink
The theme of the conference is “To embrace artificial intelligence, internet of things and data science for better future”. Following are the topics of interest but not limited to:-
CONFERENCE TRACKS
Track 1: Internet of Things
1. IoT data management
2. IoT Addressing and Identification Techniques
3. IoT data management
4. IoT Services, Applications, and Systems
5. IoT Security
6. M2M Communication, and Network Heterogeneity
Track 2: Data Science and Artificial Intelligence
1. Big Data Architectures
2. Big Data Analytics
3. Big Data Processing on the Cloud
4. Big Data Search, Mining, and Visualization
5. Facial Detection for Security and Tracking
6. Speech Recognition & Synthesis
7. Pattern Recognition, Image and Video processing
8. Predictive Analytics
9. Cognitive Computing
10. Deep Learning Algorithms
11. AI Applications and Systems
12. Multidisciplinary AI
13. Mobile Robotics
Track 3:Innovation and Technology
1. Data Mining for Education
2. E-learning
3. Educational Technology
4. Explorative Learning
5. Human-Computer Interaction
6. Interactive Teaching Tools
7. Internet and Information Systems Learning by Game-Building
8. Information Systems Strategy Planning
9. Knowledge Management
10. Reverse Engineering
11. Software Design
12. Smart Government
13. Software Economics
14. Software Engineering
15. Web-based Training
16. Virtual Learning
