British Columbia Institute of Technology, Canada
In Collaboration With
- Students' Chapter
- Students' Chapter
- Students' Chapter
About International Conference ICAN 2017
ICAN2017 is the first edition of International Conference on Computing, Analytics & Networks organized by Chitkara University.
NCAN2017 was successfully concluded featuring presentation of 35 shortlisted abstracts, 4 keynote talks by leading experts from both academia and industry and 1 hands-on tutorial. All 35 shortlisted abstracts of NCAN2017 will get 50% discount on registration fee of ICAN2017 and Top 10 abstracts of NCAN2017 (selected based on their presentations) will get 100% discount on registration fee of ICAN2017
CLICK HERE to see the post symposium report of NCAN2017.
CLICK HERE to see all pictures of NCAN2017
ICAN2017 is open to anyone who is interested in submitting their high impact research work.
Visit CALL FOR PAPERS
ICAN2017 will feature pre-conference workshops, tutorials, and keynote talks on latest computer science technologies by most eminent professors &industry professionals from around the world.
Visit TECHNICAL PROGRAM
Computing in the most simplest of words is use of computers or computer systems. The task that requires computer systems – hardware and/or software is computing. We do a lot of computing in our day to day life like – withdrawing money from ATM, swiping card to get access to secured/guarded areas, using smart phones, accessing emails, downloading stuff from the internet etc. For a particular genre of human beings, computing is like breathing in today’s age.
In today’s information world, we are generating lots and lots of data. We generate data at every single moment of our lives, while sending sms or while sending an email or sharing our contact coordinates or while using any health care app to keep a record of our movements or while making some online shopping etc. So, human beings are creating - Big Data,Huge Data and rather humongous data. There is a common perception that human beings have created an equivalent amount of data in last only 5 years which otherwise they have created since their early existence on this planet. . In order to derive any useful information from this data or to get insight into Big Data to fetch relevant conclusion for yourself or your company, one needs to know good data analytics techniques.
Every modern day human being is connected to the world through internet or Network. Today not only human beings but the devices are also connected to internet. Thus there is always a requirement of higher bandwidth, higher speed, and efficient network topologies to meet the ever increasing demand of high speed networks.
The theme areas for ICAN2017 includes Mobile Cloud Computing, Big Data Analytics & Networks Security. The sub categories in each of the respective theme areas (but not limited to only these) are as follows:-
|Mobile Cloud Computing||Big Data Analytics||Secure Networks|
|Distributed Computing||Statistical Techniques for Big Data Analysis||Security in Cloud Computing|
|Mobile Device Management||Predictive Modelling, Behaviours Analytics||Feature extractions & classifier techniques for network security.|
|Communication Efficiency||Applications of Big Data Analytics||Data & Information Security, Cryptography|
|Mobile Virtualization||Handling structured, semi-structured and un-structured data||Privacy in Big Data and Cloud Environment|
|Protocols, Platforms, Architectures||Open Source Framework for processing Big Bata|
|Algorithms For Secure, Scalable Mobile Computing.||Statistical Language for Big Data Analysis|
|Mobile Web Services||Data Mining, Data Processing and Data Simulation|
Publication of ICAN2017 Proceedings in Springer
- It is planned to publish only the best and topmost selected papers of ICAN2017 as a post-conference proceedings with Springer in their prestigious Communications in Computer and Information Science series.
- Each Paper will be reviewed by at-least three external reviewers and based on their recommendations only the papers will considered for publication in Springer.
- Review criteria are strictly based on the novelty & quality of your work, results & outcomes of your work and relevance to the theme areas of the conference.