Title: Computer vision for Autonomous Driving

Abstract:
Visual perception is a key element for self-driving cars. Despite the remarkable success of Deep neural networks in computer vision tasks for autonomous driving (ex: object detection, segmentation, and steering angle prediction, etc), most of the existing models are computationally and memory expensive, making it difficult to be deployed on embedded systems with limited processing power and low memory resources. In this talk, basic compression and acceleration methods are presented with practical approaches and tools.

Bio:
Dr. Ibrahim has more than 20 years of experience in the area of Machine and Deep Learning in addition to Software Development. He received his Ph.D. in Deep Reinforcement Learning. His M.Sc. The thesis is in Machine Learning applied to automatic documents summarization. Dr. Ibrahim has participated in several related national and international megaprojects, conferences, and summits. He delivers training and lectures for academic and industrial entities. Dr. Ibrahim’s patents and publications are mainly in Natural language processing, Speech processing, Computer vision. Currently, Ibrahim is a Senior Expert of AI, Valeo Group.

Title: Bringing intelligence to the edge with Arm CPUs

Abstract:
Artificial intelligence is emerging in a variety of applications. Whether it is in self-driving cars, smart speakers, or even in-home robotics; Machine learning is a powerful tool for devices to process their environment. However, developing Machine Learning solutions to run efficiently on embedded devices is challenging, and requires a solid full system understanding from the developer as well as expertise in machine learning. And even with the right expertise, the right tools are not always easy to find.
In this talk, we will discuss the developer’s journey from Machine Learning Algorithm creation to the implementation on resource constraint devices. We will talk about the tools at your disposal and the right way to use them. We will discuss how to develop the right solution for your envisioned devices.

Bio:
René de Jong is a Senior Research Engineer at the Arm Research Machine Learning Lab. He has almost 10 years of experience in research and performance analysis of Embedded Systems. In his daily work, he investigates probabilistic Machine Learning in resource constraint devices. He obtained his Master of Science degree in Embedded Systems from the Eindhoven University of Technology in the Netherlands.

NOTE: Due to some emergency case, Dr. René de Jong will not be able to do the presentation.
Prof. Abdalla Kassem will make a presentation regarding Wearable Biomedical Devices.

Title: Future of Automotive 

Abstract:
The Automotive Industry has seen a great evolution in the last decade, more than it has gone through since the invention of the car. This industry will change greatly in the next few years and we will see substantial changes in the way we use, drive and operate cars.

In this talk, we cover the evolution in the Auto industry and where we are from that?

Bio:
Hicham Arafa brings 25 years of Engineering Management experience. He led and contributed to the building of many leading technology companies in Egypt. Hicham Has been acting as COO for Brightskies Since Q4’2017 where his leading the growth of the company from 40 engineers to 120 engineers in 2020 and a target to grow to 100’s of engineers in the next few years. Bright skies is a leading engineering service company in Alexandria working in the Area of High-Performance Computing, Automotive Embedded System,s and Enterprise Solutions development.
Hicham was previously the R&D director and deputy GM for Valeo Egypt, since 2011. Valeo Egypt is Valeo’s biggest software development center, employing more than 2000 Engineer and serving all of Valeo’s Business Groups Prior to his role at Valeo Mr. Arafa worked with Intel Corp as the business development manager for Egypt, Levant, and North Africa, where he opened multiple offices for Intel in Algeria, Morocco and Libya. Prior to that Hicham served as the strategic initiatives manager for Intel’s Platform Definition Center based in Cairo. The Cairo center is one of the four that Intel opened worldwide to define, plan and develop specific products for the Middle East, Turkey, and Africa region.
Mr. Arafa joined Intel in the USA, in 1999 where he worked for the Enterprise Server Group, then The Embedded Intel Architecture Division as validation architect prior to his return to Egypt in 2003 to work for the Sales and Marketing Group.
Mr. Arafa was born in Cairo 1971, he received his B.Sc in Electrical Communications from Cairo University in 1994, his MSEE, in high-performance computing from West Virginia University, in 1998, and his MBA in technology management from the W.P.Carey school of business at Arizona State University, in 2003

Title: Artificial Intelligence of Things: The Opinion of Things

Abstract:
IoT and AI are two independent technologies that made a significant impact on our daily life. IoT can be considered a nervous system where data is collected and sent to the brain (AI) in the cloud to make decisions and act upon. Unfortunately, such a combination is still not adequate for some problems. Data dense application, such as cameras which is supposed to send every frame to the cloud. Yet, adding an AI layer at the end node will allow the system to send only meaningful frames upon detecting certain objects. The combination of AI and IoT brings AIoT (Artificial Intelligence of Things) promises more economical, more intelligent, and smartly connected systems. Edge computing tackles this problem by handling more data at the edge. This way devices analyze the data and may act upon them and finally, determine what needs to be sent to the cloud. The concept simply means moving computational power out to the “edge”. Edges got limited power and processing capabilities, also most of the data analysis models and techniques are designed with the cloud's huge resources in mind. In this talk, we are discussing the AIOT paradigm, the main challenges faced by different applications, and proposed solutions and architectures. To make this more beneficial, we tried to bridge the gap between research and development, and discuss such challenges based on real proposed and developed applications showing the main approaches taken to solve such challenges.

Bio:
Amr T. Abdel-Hamid is has been an entrepreneur and an Associate Professor of Electronics/Networks Departments (Duel Appointed) at the German University in Cairo (GUC) since 2006. His fields of experience span from hardcore technology disciplines like hardware verification to cutting edge technologies such as Internet-of0things (IoT) and AIOT solution design.
Amr got both his Ph.D. and Ma.Sc. in Computer Engineering from Concordia University, Montreal, Canada at 2005, and 2001 respectively, as well as his B. Eng. from Cairo University at 1997. He got more than 43 refereed publications and more than 250 student projects supervised. Amr is served as a judge and a consultant in many conferences, organizations, and competitions such as TIEC, ITIDA, NewCas Conference, ICM Conference, and IEEE Journal of Circuits and Systems.
As an entrepreneur, Amr founded SSTM Egypt in 2016, where he still serving as the managing director of the company. SSTM is a leader in transforming revolutionary ideas into products that can be rapidly dispatched in your home and office. Its mission has always been designing and developing innovative products and systems to improve the quality of life. Amr leads the design team of SSTM where they designed and implemented many innovative IOT products, including IOTPia, IoTiK, CoolTeck, CaCiot, as well as many wireless connected customized smart solutions.