CASS is continuing its “CAS Emerging and Selected Topics for Industry Forums” (CASIF) program on emerging and cross-discipline topics, where industrial speakers describe real-world challenges, and academic speakers describe potential technologies that could address those challenges.
The theme of this CASIF is “Rapid Development of Artificial Intelligence (AI), Electronic Systems and IoT technologies”. The aim of this CASIS Summer-1, 2021 is to share the latest topics in the areas related to circuits and Systems. CASIF Summer-1, 2021 aims to provide opportunities for students (undergraduates and graduates) to attend and interact with scientists, engineers in the research community and industry. It is a major international forum for researchers, scientists, educators, students, and engineers from the industries to share their latest findings in circuits and systems related to AI and IoT.
This 1st CASIF will explore the following Topics:
- Computer vision for Autonomous Driving (Ibrahim SOBH, Valeo Group)
- Bringing intelligence to the edge with Arm CPUs (René de Jong, ARM Company)
- Future of Automotive (Hicham Arafa, Bright skies Company)
- Artificial Intelligence of Things: The Opinion of Things (Amr Talaat, GUC)
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.
Chapters Chairs
Lebanon Chapter President
BIO:
Abdallah Kassem has previously worked as research assistant at Polystim Neurotechnologies Laboratory of the Ecole Polytechnique de Montreal, Canada. He still cooperates with this laboratory doing some researches. He received his B.S in Microelectronics from University of Quebec in Montreal in 1992, his M.Sc and Ph.D in microelectronic from Ecole polytechnique de Montreal in 1996 and 2004 respectively. From 1996 to 2000, he taught computer architecture, microprocessors and digital electronic courses and laboratories at AUB, LAU in Lebanon. Prof. Kassem joined Notre Dame University-Louaize in 2005 as an assistant professor in the Electrical and Computer Engineering department. He was promoted to the rank of full professor in 2020. Prof. Kassem published more than 70 papers in reviewed journals, book Chapters and international conference proceedings. He is an Associate Editor in IEEE Access and a Guest Editor Elsevier, AEU - International Journal of Electronics and Communications. His research interests include microelectronics design and testing, VLSI, semiconductor device modeling and simulation, microprocessors, engineering education/management, ultrasonic applications, hardware/software embedded system, healthcare applications, e-Health and m-Health. Prof. Kassem is a Professional Engineer in Lebanon (Ordre des Ingénieurs du Liban). He is a senior member of the Institute of Electrical and Electronics Engineering (IEEE) and Organizer and TPC member of many IEEE International conferences. Recently, he was elected as a chair of the IEEE Lebanon Joint Chapter IE13/PE31/CAS04/PEL35 (Industrial Electronics, Power Electronics & Energy, Circuits and Systems, Power Electronics).
Egypt Chapter President
BIO:
Ahmed Madian (SM'12) received his Ph.D. and M.Sc. degrees from Cairo University, Egypt, in 2007 and 2002, respectively. He is currently Professor at the Department of Electronics and computer Engineering, Faculty of Engineering and applied science, NILE University, Giza, Egypt. He is the director of Microelectronics System Design Master Program since sept. 2015. Also, He is the director of Nanoelectronics Integrated System Design Research center (NISC) since 2016. He has published more than 150 papers in international conferences and journals. His H-index is currently 20. Also, he served in the many technical and organizing committee of many international conferences. He received many research grants as Principle Investigator (PI), CO-PI, or Consultant from different national/international organizations. He won the best researcher award (Dr. Hazem Ezzat award 2017) for his outstanding research profile. His research interests are in circuit theory; low-voltage analog CMOS circuit design, current-mode analog signal processing, Memristors, Fractional systems, VLSI, Encryption systems and mixed/ digital applications on field programmable gate arrays. Also, he is member of the national radio of science committee (NRSC) since 2018. Dr. Madian is actively serving as a reviewer in several journal and conference publications including IEEE conferences and journals. He served as guest associate editor for many international journals. He is the founder of IEEE Circuits and systems (CASS) Egypt technical chapter and co-founder of the IEEE Robotics and automations (RAS) Egypt technical chapter. He is currently the IEEE Egypt Section Secretary and member of Ex-COM.
Technical Chair
Dr. Gunnam is an innovative technology leader with vision and passion who effectively connects with individuals and groups. Dr. Gunnam’s breakthrough contributions are in the areas of advanced error correction systems, storage-class memory systems, and computer vision-based localization & navigation systems. He has helped drive organizations to become industry leaders through ground-breaking technologies. Dr. Gunnam has 75 issued patents and 100+ patent applications/invention disclosures on algorithms, architectures, and real-time low-cost implementations for computing, storage, and computer vision systems. He is the lead inventor/sole inventor for 90% of them. Dr. Gunnam’s patented work has already been incorporated in more than 2 billion data storage and WiFi chips and is set to continue to be incorporated in more than 500 million chips per year.
Dr. Gunnam is also a key contributor to the precise localization and navigation technology commercialized for autonomous aerial refueling and space docking applications. His recent patent-pending inventions on low-complexity simultaneous localization and mapping (SLAM) and 3D convolutional neural network (CNN) for object detection, tracking, and classification are being commercialized for LiDAR+camera based perception for autonomous driving and robotic systems.
Dr. Gunnam received his MSEE and Ph.D. in Computer Engineering from Texas A&M University, College Station. He is world-renowned for a balance between strong analytical ability and pragmatic insight into the implementation of advanced technology. He served as IEEE Distinguished Speaker and Plenary Speaker for 25+ events and international conferences and more than 3000 attendees in the USA, Canada, and Asia benefited from his talks.
Speakers:
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.
Sponsorship
SSTM Egypt is established with the objective of developing IoT Industry Grade Solutions. SSTM Founders got vast experience in research, electronics design, information technology, and product development. Across the years, SSTM did many R&D initiatives in partnerships with multinational organizations where achievements were done with high quality and within budget, operational target prices, and detailed specifications. SSTM has the edge of understanding fully the ecosystem and every sub-component which make it the ideal provider of internet of things and AIOT platforms with excellent support caliber and capability to develop custom solution across every element in the value chain from GSM to Zigbee, Bluetooth 4.0, LORA, and even wired elements as needed.
Technical Sponsors
