Innovation Recognition program for the students was launched by the Technology
Innovation and Entrepreneurship Center (TIEC) in 2012. TIEC aims to drive
innovation and entrepreneurship in information and communications technology
sector (ICT) for the benefit of national economy.
Consistent with our mission to make Egypt a regional
hub for innovation and entrepreneurship, and in the
quest for discovering talented people and innovative
ideas, products, or services to be recognized and
communicated to the community, Tiec is launching the
sixth round of Ibtiecar “TIEC Graduation Projects
Competition” for academic year 2016/2017.
The competition is launched in cooperation with
Multinationals and MCIT affiliated organizations,
for university students in technical faculties in
the graduation year, recognizing the best graduation
projects in this year.
Students involved in graduation projects year 2017 in
all technical faculties in any ICT specialization. This
would include- but not limited to the following:
For each technology track, the top 3 winning teams will
be awarded as follows:
A free three-month Entrepreneurship training program in
TIEC business Accelerator will be offered to the winning
teams according to their availability, and based on
personal test, so the graduates would be able to write
their business plan and learn how to pitch in front of
To winning Projects’ supervisors, assistants, and each
The winning projects’ abstracts, supervisors, assistants
and working team with project contacts will be recorded
in “Winners’ Booklet” that will be disseminated across
the relevant Industries and Academic Institutions.
The judging process will be performed in three stages
The Innovation Support Department (internal judging)
will handle the initial phase judging, Meanwhile an
independent panel of judges will do the second and
the third phase judging. The judges will be invited
for 1 day to perform their judgment according to a
pre-defined judging criteria.
In the second phase the top five projects will be
invited to demonstrate their project at front of the
jury. In this phase the top three projects and their
ranks will be identified .
InThe top three winning teams in each track will be
chosen as per the following criteria:
The typical application process will be in two phases
By Filling the online form
The deadline of this phase would be
July 5th, 2017
Early July 2017, those who are eligible to
participate in the competition, will get a confirmation
for acceptance and will be asked to submit the final
report of the project.
Make a difference... Only a few hours
of your time will help to encourage innovative
university students all around Egypt in their pursuit of
excellence in engineering, technology and
entrepreneurship. We will have the honor for you Joining
TIEC jury database to serve as a volunteer judge in TIEC
activities. Join a league of high caliber professionals
who are supporting engineering education by volunteering
your time and expertise.
We welcome you to Ibtiecar 2017, and thank
you for your help.
Judges may include university faculty, industrial
scientists and engineers, representatives of
governmental bodies, private and industry sector,
members of the research centers and national centers and
members of scientific societies.
For any inquiries please contact:
Eng. Faten Salem
Innovation Support Department,
IC Design track provides a forum for university students to develop and showcase innovative IC design solutions, including digital and analog circuit techniques, Innovative circuit design methodologies, Circuit modeling and EDA/CAD tools, targeting major improvements in energy efficiency, connectivity and user experience.
The goal is to encourage and highlight original design-oriented solutions to the many challenges in these areas.
An embedded system is some
combination of computer hardware and
software, either fixed in capability
or programmable, that is
specifically designed for a
Includes, but not limited to:
• Smart Systems
• 3D printer
With the emergence of the Internet, a large quantity of data is generated by the communication network, largely triggered by the human activity. Not only that, but also machines & devices themselves are getting connected to the internet and are communicating with each other and generating massive amounts of data. There are also future predictions that the number of devices connected to the internet is going to exceed the number of people connected to the internet. So there occurs the necessity to harness this large amount of data (mostly sensor data), convert them into useful information, make intelligent predictions and use this knowledge to build robust systems.
In this track, we focus on the IoT and the intelligent transportation systems and being able to utilize this massive data that is being transmitted and gathered via different sources to find intelligent transport solution that will enhance the transportation system. This can range from smart Public transportation payments, smart parking solutions, road safety systems, traffic jams solutions and even smart car insurance payment systems.
With IoT the possibilities and solutions are endless and what we want here is to explore the use of the technology and data to generate solutions that fit our ecosystem.
Systems and applications that can be implemented in a smart city regarding the management of a building whether residential or enterprise. This includes all aspects in the building that can be handled in a smart way such as smart meters, lightening, access,…or any other ideas. The proposed solution could be HW or SW or both and could include data analysis as well.
Design and implementation of communication systems (including cellular and non-cellular), network planning, applications for measuring end-user experience, communication systems for rural areas, IMS and all-IP networks,…
Data science is
data (in other
words: data +
which is a
some of the data
Data Science is
not only a
concept to unify
methods but also
design for data,
• Big data
• Media Asset
• Social network
Machine Learning, a branch of Artificial Intelligence, has enabled researchers to advance the cognitive branches of computer science significantly over the past decade. The advent of Deep Learning is unleashing the potential for even more advances in the coming years. The focus of this IbTIECar competition track is on two specific cognitive domains, namely the application of machine learning to Natural language Processing and Speech Processing.
Copyright © 2014 TIEC .
All rights reserved