ERSA - NVIDIA AWARD
“Best Young Entrepreneur Award”
The award will be TeslaTM K20 GPU
Accelerator, sponsored by NVIDIA
Manal K Jalloul (left) and Prof Hamid Arabnia, General Chair of Worldcomp (right)
The Award Ceremony at The New Tropicana Hotel
Las Vegas, July 22, 2013
ERSA / WORLDCOMP 2013
The information age continues to surprise and challenge us all in the fast pace of evolving technology.
Developing complex, commercial applications requires multidisciplinary research and new visionary approaches.
As opportunities for new technologies continues to evolve, the need for support of young, talented entrepreneurs,
who are breaking the way into future, is higher than ever.
To support young and talented, ERSA conference, sponsored by NVIDIA, launches an Award for “Best Young Entrepreneur”.
The Award is devoted for entrepreneurs developing tools, advanced technologies and opportunities for supporting
applications, both academic and commercial, across broad area of high-performance, embedded systems implemented
as multicore systems and reconfigurable heterogeneous parallel processing systems.
Whether the applications deal with health information, mobile devices,
sensor grids, business analytics, cyber-security, telecommunications,
embedded systems, or high-performance computing in scientific research and
finance - the new applications of computing technology continue to amaze
with their possibilities and the entrepreneurship should be promoted.
We decided to give the ERSA-NVIDIA Award for Best Young Entrepreneur in two Categories:
Student Research Category
We had two nominees with very interesting and high-level work for the Main Category.
Unfortunately, they both were not qualified for the contest of Best Young Entrepreneur.
These very interesting work and the top level results were achieved by big collectives
with experienced researchers and managers, and not solely by young persons.
We regret to announce that we decided not to give ERSA-NVIDIA award in Main Category,
as there were no nominees qualified for this category.
Finally, we decided to give one award in the category of Student Research.
Manal K Jalloul
The Laureate in Student Research Category
A Novel Parallel Computing Approach for Motion Estimation Based on Particle Swarm Optimization
American University of Beirut, Lebanon
Manal Jalloul was born in 1984 in Beirut , Lebanon. She received her BE in Electrical
and Communication Engineering from Beirut Arab university, Beirut, Lebanon in 2007, and her
ME from the American University of Beirut in 2009. She is the recipient of Jamal Abdul Nasser
Award for Academic Excellence from Beirut Arab University in 2007.She is currently pursuing
her PhD in Electrical and Communication Engineering under the supervision of Prof. Mohammad
Adnan Al-Alaoui at the American University of Beirut.
Her research interests lie in the field of video and image processing, filter design,
and parallel programming. She has published papers in these areas in peer reviewed conferences.
She has been working as a Graduate Research Assistant (GRA) in AUB since 2007. She is a member
of the Digital Signal Processing and Adaptive Filtering group at
and of the CUDA teaching Center at AUB. Part of her
duties as a GRA included teaching several courses and labs including Digital Image Processing
Lab, CUDA lab, Digital Signal Processing Lab, and C++ Programming Lab.
Today, we witness a high revolution in the hardware industry. There is a transition
to multi-core and many-core systems which require a change in the programming approach
to develop algorithms with high parallelism in order to take advantage of the high speedup
provided by the available hardware. Existing ME algorithms are serial. They operate on blocks
of the frame serially following the raster order. The proposed algorithm, on the other hand,
exhibits high level of data parallelism. It performs motion estimation for all blocks of the
frame in parallel. As a result, the proposed algorithm provides tremendous speedup and improved
quality as compared to the exhaustive-search algorithm and to the well-known fast searching
techniques.The proposed scheme will be implemented on the massively parallel architecture of
the GPU using the NVIDIA CUDA platform and evaluated.
Ahmed Hassan and Mohammed Gouda
The Nominees in Main Category
“Bastet” Subsurface Detection Air Vehicle
Kashef, Egipt, iITC, Sweden
is an electronics engineer with Bachelor of Computer Science from the Faculty of Electronic
Engineering, Menoufiya University, Menouf, Egypt. He has good experience and knowledge in
practical electrical & electronic engineering. He holds a diploma in embedded systems
and embedded programming. His graduation project with his partner Mohamed Gouda was a
prototype of a landmine detection air vehicle. The project has won several awards nationally
and internationally such as: Made in Egypt 2012 and I2P Global 2012 ICT 1st Runner-Up in Sweden.
Ahmed belongs to many communities and organizations such as IEEE GOLD EGYPT and TIEC innovators
in Egypt. Ahmed’s interests are mainly in technology, and he is devoted to it. His passion for
innovation and entrepreneurship is limitless.
is a communication engineer with Bachelor of Communications from the Faculty of Electronic
Engineering, Menoufiya University, Menouf, Egypt. He always wanted to stand out and do the
up-normal. His graduation project gave him that opportunity. He assembled a team of different
interests and ambitions and they all united under one vision; “Remove landmines... Help Egypt”.
That vision quickly expanded to the region and finally the whole world. The project also was
improved and enhanced with market research, financial planning and business planning.
The project has won several awards nationally and internationally such as: Made in Egypt
2012 and I2P Global 2012 ICT 2nds place in Sweden. Mohammed belongs to many communities and
organizations such as IEEE EGYPT and TIEC innovators in Egypt. He gave a lot of lectures and
workshops about Entrepreneurship, Graduation projects and Presentation skills.
The idea started as an innovative solution for the landmine problem worldwide and especially
Egypt. The team designed and built an innovative architecture for the common Ground Penetrating
RADAR system (GPR) utilizing embedded multicore systems, light and capable of penetrating the
ground from a distance above the surface, unlike any available GPR solution. The solution is
light enough to be carried on a UAV/ drone, and we call it “Bastet”.
The GPR air vehicle has a variety of applications solving different client needs.
We illustrate the details of one target market that has a high demand, especially in Egypt
and other African countries. This market is landmine detection.
The Nominee in Main Category
Co-founding Xcelerit in 2010 and quickly bringing it to profitability
CEO & Co-Founder Xcelerit, Ireland
Hicham has worked as software developer and team leader on various projects that focused
on the design and implementation of innovative wireless communications systems. A common
theme with the various projects was the need to process large amounts of data through complex
algorithms in the quickest possible time. The ability to understand compute-intensive
processing from a domain-specialist perspective served as an excellent basis to create
innovative technology solutions targeted at domain specialists in financial markets and other industries.
Hicham co-founded Xcelerit in 2010 quickly bringing it to profitability.
Hicham holds an MSc from INSA Lyon (French Grande Ecole).
High Performance Computing (HPC) processors (e.g. GPUs, FPGAs, Intel Xeon Phi) deliver
staggering compute power. For example GPUs are now incorporated into most of the top computers
in the world. The only problem is that they are very hard to program, requiring financial
analysts and other domain specialists to learn new languages and directives and generally to
become very aware of the details of the hardware on which they are running.
The Xcelerit SDK takes away this problem. Using an easy-to-understand model with standard code,
the SDK allows a programmer to express the bottleneck sections of his code in a way that reveals
the underlying parallelism. The Xcelerit SDK then automatically schedules the code to execute
over whatever multi-core CPU and GPU resources that are available.
Dr Toomas P Plaks, London, UK
The Award Committee
The Award Committee includes
Stanford University, USA, Prof. Michael Flynn
Imperial College London, UK, Prof. Wayne Luk
Karlsruhe Institute of Technology, Germany, Prof. Joerg Henkel
Keio University, Japan, Prof. Hideharu Amano
Shanghai Jiao Tong University, China, Prof. Simon See
NVIDIA, Can Ozdoruk, Product Manager
Altera Corporation, Steve Casselman, Principal Engineer
National Instruments, Hugo Andrade, Principal Architect
Dr Toomas P Plaks, London, UK
Toomas P Plaks
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