Keynote Speakers

Prof. Hussein T. Mouftah   (Fellow of: IEEE, Canadian Academy of Engineering, Engineering Institute of Canada, and RSC Academy of Sciences )
University of Ottawa

Keynote Speech 1: Smart Cities: Information and Communications Technologies

Abstract- The transformation of our current cities into smarter cities will bring challenges in diverse areas such as the transportation system, the electricity system, and wearable systems, just to name a few. In smart cities, Information and Communication Technologies (ICT) will play a vital role for providing services in the urban environment.

These services include real time monitoring and reaction in time through wireless sensor and actuator networks. Smart Grids (SGs), Intelligent Transportation Systems (ITS), Internet of Things (IoT), Electric Vehicles (EVs), and Wireless Sensor Networks (WSNs) will be the building blocks of futuristic smart cities. Smart grid refers to the modernization of traditional power grid by incorporating two-way digital communication support at generation, transmission, and distribution level.

Intelligent transportation system refers to making the vehicular traffic smarter by reducing congestion, optimized fuel consumption, shorter routes, and better safety, self-driving cars by using communication and sensing technologies. Internet of things refer to a world-wide network of interconnected objects uniquely addressable, employing M2M communications, based on standard communication protocols and allows people and things to be connected Anytime, Anyplace, with Anything and Anyone, ideally using Any path/network and Any service.

IoT can be very useful for resource management in the context of smart cities. Wireless sensor networks are composed of sensor nodes capable of performing sensing and implementing the M2M communications. All these technologies will help to build smart cities. In this presentation we will address technology trends with a focus on a use case of connected electric vehicles in smart cities.

Please check Prof. Mouftah's tutorial/workshop titled: Connected Electrical Vehicles in Smart Cities

Biography- After four years of industrial experience mainly at Bell-Northern Research (BNR), Dr. Hussein T. Mouftah started his academic career as an Assistant Professor in the Department of Electrical and Computer Engineering at Queen's University in 1979. In 1988 he became full professor there and from 1998 until 2002 he was Associate Head for the Department. Since 2002 he has been a Tier 1 Canada Research Chair at the University of Ottawa, SITE and in 2006 he was appointed Distinguished University Professor. During his sabbatical leaves, he did consulting work for BNR and Nortel Networks (1986-87; 1993-94; and 2000-01). Dr. Mouftah has published over 1000 technical papers, 7 books and 48 book chapters. To his credit he has 12 patents and 140 industrial reports. He has received research grants and contracts totaling close to $40 million and he has supervised more than 300 highly qualified personnel of which 95 are Master's and 63 are PhD graduates and 30 are post-doctoral fellows. Dr. Mouftah has served the Institute of Electrical and Electronic Engineering (IEEE) Communications Society as Editor-in-Chief of the Communications Magazine (1995-97), Director of Magazines (1998-99), Chair of the Awards Committee (2002-03), Director of Education (2006-07), and Member of the Board of Governors (1997-99 and 2006-07). Also, he is the founding Chair of two of IEEE Communications Society's Technical Committees (TCs): Optical Networking TC (2002-04) and Ad Hoc and Sensor Networks TC (2005-07). He has been a Distinguished Speaker of the IEEE Communications Society (2000-2008). Dr. Mouftah is the recipient of the 1989 Engineering Medal for Research and Development from the Association of Professional Engineers of Ontario and of the 2002 Ontario Distinguished Researcher Award of the Ontario Innovation Trust. He has also received 12 Outstanding/Best Paper Awards (ISMVL'1984; IEEE Communications Magazine in 1993; SPECTS'2002; HPSR'2002; CITO Innovators2004; ICC'2005; 2 at ISCC2008; CCECE2009; IST-AWSN'09; WiSense2010; and EPEC2010), the IEEE Canada Outstanding Service Award (1995), and the CSIM Distinguished Service Award of the IEEE Communications Society (2006). In 2004 Dr. Mouftah received the IEEE Communications Society Edwin Howard Armstrong Achievement Award and the George S. Glinski Award for Excellence in Research from the Faculty of Engineering, University of Ottawa. In 2006 he was honored with the IEEE McNaughton Gold Medal and the Engineering Institute of Canada Julian Smith Medal. In 2007 he was the recipient of the Royal Society of Canada Thomas W. Eadie Medal. He has also received the 2007-2008 University of Ottawa Award for Excellence in Research, and the 2008 ORION Leadership Award of Merit. Dr. Mouftah is a Fellow of the IEEE (1990), Fellow of the Canadian Academy of Engineering (2003), Fellow of the Engineering Institute of Canada (2005), and Fellow of the Royal Society of Canada RSC Academy of Sciences (2008).

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Prof. H. J. Siegel   (Fellow of: IEEE and ACM)
Colorado State University

Keynote Speech 2: Robust Computing Systems

Abstract- Throughout all fields of science and engineering, it is important that resources are allocated so that systems are robust against uncertainty. The robustness analysis approach presented here can be adapted to a variety of computing and communication environments.

What does it mean for a system to be "robust"? How can the performance of a system be robust against uncertainty? How can robustness be described? How does one determine if a claim of robustness is true? How can one measure robustness to decide which of two systems is more robust? We explore these general questions in the context of parallel and distributed computing systems.

Such computing systems are often heterogeneous mixtures of machines, used to execute collections of tasks with diverse computational requirements. A critical research problem is how to allocate heterogeneous resources to tasks to optimize some performance objective.

However, systems frequently have degraded performance due to uncertainties, such as inaccurate estimates of actual workload parameters. To reduce this degradation, we present a model for deriving the robustness of a resource allocation. The robustness of a resource allocation is quantified as the probability that a user-specified level of system performance can be met.

We show how to use historical data to build a probabilistic model to evaluate the robustness of resource assignments and to design resource management techniques that produce robust allocations.

Please check Prof. Siegel's tutorial/workshop titled: Resource Management for High-Performance Computing Systems

Biography- H. J. Siegel is a Professor Emeritus and Senior Research Scientist/Scholar at Colorado State University (CSU). From 2001 to 2017, he was the George T. Abell Endowed Chair Distinguished Professor of Electrical and Computer Engineering at CSU, where he was also a Professor of Computer Science. He was a professor at Purdue University from 1976 to 2001. He received two B.S. degrees from the Massachusetts Institute of Technology (MIT), and the M.A., M.S.E., and Ph.D. degrees from Princeton University. He is a Fellow of the IEEE and a Fellow of the ACM. Prof. Siegel has co-authored over 450 published technical papers in the areas of parallel and distributed computing and communications, which have been cited over 17,000 times. He was a Coeditor-in-Chief of the Journal of Parallel and Distributed Computing, and was on the Editorial Boards of the IEEE Transactions on Parallel and Distributed Systems and the IEEE Transactions on Computers. For more information, please see

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Prof. Amir Atiya   (Winner of The KFAS Award for Scientific Achievements and Contributions)
Cairo University

Keynote Speech 3: Machine Learning

Abstract- Machine learning is the science of learning from data. It can recognize unknown data, and develop predictive models. Applications of machine learning include for example recognizing disease in medical images, detecting intruders in surveillance videos, and predicting storms and weather catastrophes. In this tutorial I will focus on the following:

1. Present an introduction to machine learning.
2. Give examples of pattern classification.
3. Discuss large margin classifiers, including support vector machines.
4. Explain neural networks.
5. Present deep neural networks.
6. Explain the concept of overfitting.
7. Explain performance estimation, parameter tuning, and train/test data partitioning.
8. Some applications of machine learning.

Please check Prof. Amir's tutorial/workshop titled: Machine Learning in Natural Language Processing

Biography- Dr. Amir Atiya received his B.S. and M.S. degrees from Cairo University in1982 and1985 respectively, and the M.S. and Ph.D. degrees from Caltech (California Institute of Technology), in 1986 and 1991 respectively, all in electrical engineering. Dr. Atiya is currently a Professor in the Department of Computer Engineering, Cairo University. During1997-2001 he held the position of Visiting Associate at Caltech, and during the summer of 2005 he was a Visiting Professor at Chonbuk National University, South Korea. He also held various appointments in the finance industry and in the data mining industry. His research interests are in the areas of statistics, machine learning, theory of forecasting, neural networks, computational finance, and pattern recognition, in which he published over 50 journal papers and 80 conference papers. His work is highly cited and one of his models has been included in Matlab as a function in the financial toolbox. Dr. Atiya received the highly regarded Kuwait Prize in 2005. He also received the Egyptian State Prize for Best Research in Science and Engineering, in 1994, and received the Young Investigator Award from the International Neural Network Society, in 1996. Currently, he is an Associate Editor for IEEE Transactions on Neural Networks, since 1998. He was a Guest Co-editor of the special issue of IEEE Transactions on Neural Networks on 'Neural Networks in Financial Engineering', July 2001, and was a Guest Co-editor of the special issue of IEEE Transactions on Neural Networks on 'Adaptive Learning Systems in Communications Networks', September 2005.

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Invited Speakers

Prof. Ahmed E. Kamal   (Fellow of the IEEE)
Iowa State University

Invited Talk 1: Unmanned Aerial Vehicles as a Service for Wireless Networks

Abstract- Unmanned Aerial Vehicles (UAVs) have been used in military domains for many years. Recently, they have found many applications in civilian domains, and the number of these applications is expected to grow with UAVs being integrated in society. One area in which UAVs are gaining popularity in is Information and Communications Technology (ICT). This is due to their high flexibility for on-demand deployment and their ability to be equipped with communications, networking and computational devices. Several leading ICT companies have launched pilot projects with the objective of providing connectivity from the sky. These innovative efforts are paving the way for a generic notion of UAVs as a Service (UaaS) where a variety of UAV-based applications could be developed.

This talk will focus on the services provided by UAVs for applications supported by wireless communications and networking, which we refer to as UaaS for wireless networks. In this case UAVs can provide the services of base stations, access points, relay stations, data collectors, etc. They can also assist in recovery from different wireless networks component failures. We will provide an overview of the state-of-the-art and the new developments in this domain in which UAVs enhance the wireless networking function, or support applications that use wireless networking. These will include some of our latest developments in which UAVs provide connectivity from the sky.

Invited Talk 5: Network Function Virtualization: What, Why and How?
Prof. Ahmed E. Kamal

Abstract- The European Telecom Standards Institute (ETSI) proposed the concept of Network Function Virtualization (NFV) with the aim of efficient network architecture and network system operation. In traditional networks, network functions are implemented in dedicated physical machines which are designed for single functionalities. Network services have been provided by connecting these physical machines, so the network architecture has been highly rigid and hard to change. NFV environment provides a more flexible and scalable network configuration and implementation through the softwarization of physical network functions. Network functions are transformed to Virtual Machines (VMs) so that Virtualized Network Functions (VNFs) can be implemented in commodity servers built for common uses, including public clouds. Network operators can therefore design flexible and scalable network architecture through efficient VM placement and migration algorithms.

This talk will introduce and explain the NFV concept, its architecture and the advantages of using NVF over the use of dedicated hardware components. We will also study the problem of efficient implementation of NVF, where efficiency refers to energy efficiency and resource allocation efficiency. We therefore formulate a joint problem of Virtualized Network Function (VNF) resource allocation and NFV-Service Chain (NFV-SC) placement problem in Software Defined Network (SDN) based hyper-scale distributed cloud computing infrastructure in which the objective of the problem is minimizing the power consumption of the infrastructure while enforcing Service Level Agreement (SLA) of users. We employ a queuing network approximation analysis for the NFV-SC model. The joint problem is modeled by a Mixed Integer Non-linear Programming (MINP) model. We show that our proposed approach outperforms traditional approaches in terms of power consumption and SLA assurance. It will also present support.

Biography- Ahmed E. Kamal (S'82-M'87-SM'91-F'12) is a professor of Electrical and Computer Engineering at Iowa State University in the USA. He received a B.Sc. (distinction with honors) and an M.Sc. both from Cairo University, Egypt, and an M.A.Sc. and a Ph.D. both from the University of Toronto, Canada, all in Electrical Engineering. He is a Fellow of the IEEE and a senior member of the Association of Computing Machinery. He served as an IEEE Communications Society Distinguished Lecturer for 2013 and 2014.

Kamal's research interests include wireless networks, cognitive radio networks, optical networks, wireless sensor networks, Internet of Things and performance evaluation. He received the 1993 IEE Hartree Premium for papers published in Computers and Control in IEE Proceedings, and the best paper award of the IEEE Globecom 2008 Symposium on Ad Hoc and Sensors Networks Symposium. He also received the 2016 Outstanding Technical Achievement Award from the Optical Networks Technical Committee (ONTC) of the IEEE Communications Society.

Kamal chaired or co-chaired Technical Program Committees of several IEEE sponsored conferences including the Optical Networks and Systems Symposia of the IEEE Globecom 2007 and 2010, the Cognitive Radio and Networks Symposia of the IEEE Globecom 2012 and 2014, and the Access Systems and Networks track of the IEEE International Conference on Communications 2016. He was also the chair of the IEEE Communications Society Technical Committee on Transmission, Access and Optical Systems (TAOS) for 2015 and 2016. He is on the editorial boards of the Computer Networks journal, and the Optical Switching and Networking journal, and served on the editorial board of the IEEE Communications Surveys and Tutorials from 2011 to 2017.

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Prof. Magdy Bayoumi   (Fellow of the IEEE)
University of Louisiana at Lafayette

Invited Talk 4: Silicon Brain
Abstract- Silicon Brain Reading the brain is one of the ultimate goals of the "Brain Initiative" which may be real by 2025. In General, to be able to control our surrounding world by the power of our mind, to control the artificial limbs by our thoughts, and to read people's brain is a dream and it is an exciting one.

Brain Computer/Machine Interface (BCI/BMI) is one of the enabling technologies towards these goals. We have designed and developed BCI chips that can overcome the main challenges of interfacing with human brain, mainly: low bandwidth communication, small chip area, low power and low heat dissipation, and tolerant to noise. These new chips are based on spike sorting and artificial immune systems.

The first chip to be employed in artificial limbs. It will work in pair, one chip to be implanted at the brain (semi-invasive) and the other one in the artificial limb. The second chip is for early prediction, warning, and detection of epilepsy seizure. A case study of this application will be illustrated.

Special session on Oil/Gas Industry: IoT Paradigm for Oil/Natural Gas Industry
Prof. Magdy Bayoumi

Abstract- The integration and convergence of Distributed and Collaborative Computing, New Communication Platforms, Embedded Control with Actuation technologies, and New Sensing devices and Networks, has led to the emergence of a new generation of engineered systems, the Cyber-Physical Systems (CPS). Such systems emphasize the link between cyber space and physical environment (i.e., time, space, and energy). CPS represents the next generation of complex engineering systems. They are large scale dynamic systems that offer significant processing power while interacting across communication networks. Smart and flexible technologies are required to interface both worlds. One of the main enabling technologies and platforms is the Internet of Things (IoT). IoT can create more convenient world by making ordinary things around us smart by adding cognition and data analytics. IoT will help to solve the grand challenges of our society, such as, aging population, limited resources, sustainability, environment, mobility, security, health care, etc. Applications of IoT cover a wide range of economic, medical, and entertainment sectors. It includes; Transportation: automobiles, avionics, unmanned vehicles and smart roads; Large Scale Critical Infrastructure: bridges, mega buildings, power grid, defense systems; Health Care: medical devices, health management networks, telemedicine; Consumer Electronics: video games, audio/video processing, and mobile communication.

Building IoT Systems is not a trivial task. The difficulty arises from the existing gap in modeling and computing at different levels. The design process require new theories, models, and algorithms that unify all system levels in one framework. For example, sensor nodes should be low power, low cost, and multifunction. Because of the special features of these networks, new network platforms are needed for low power, cost effective, reliable communication, and more important security within the resources constrains. Several of these issues will be discussed in this talk with a case study in oil/natural gas applications. Three aspects of this application will be addressed; (1) deep drilling, (2) management and the operation on an off shore platforms, and (3) security of the platform and pipes.

Biography- Magdy A. Bayoumi is the Department Head of W. H. Hall Department of Electrical & Computer Engineering. He is the Hall Endowed Chair in Computer Engineering and the Hall Endowed Chair in Telecommunication. He was the Director of the Center for Advanced Computer Studies (CACS) and the Department Head of Computer Science Department. He was. Also, the Loflin Eminent Scholar Endowed Chair in Computer Science, all at the University of Louisiana at Lafayette where he has been a faculty member since 1985. He received B.Sc. and M.Sc. degrees in Electrical Engineering from Cairo University, Egypt; M.Sc. degree in Computer Engineering from Washington University, St. Louis; and Ph.D. degree in Electrical Engineering from the University of Windsor, Canada. Dr. Bayoumi has graduated more than 100 PHD and 150 MSC students.

Bayoumi is an IEEE Fellow. He has served in many capacities in the IEEE Computer, Signal Processing, and Circuits & Systems (CAS) societies. Currently, he is the vice president of Technical Activities of IEEE RFID council and he is on the IEEE RFID Distinguished Lecture Program (DLP). He is a member of IEEE IoT Activity Board. Bayoumi has received many awards, among them; the IEEE CAS Education award and the IEEE CAS Distinguished Service award. He was on the IEEE DLP programs for CAS and Computer societies. He was on the IEEE Fellow Selection Committee. Bayoumi has been an ABET evaluator and he was an ABET commissioner and team chair. He has been Guest Editor (or Co-Guest Editor) for many Special Issues, the latest was on Machine to Machine Interface, IEEE CAS on Emerging Technology. He has given numerous keynote/invited lectures and talks nationally and internationally. Bayoumi was the general chair of IEEE ICASSP 2017 in New Orleans. He, also, chaired many conferences including ISCAS 2007, ICIP 2009, and ICECS 2015.

Bayoumi was the chair of an international delegation to China, sponsored by People-to-People Ambassador, 2000. He received the French Government Fellowship, University of Paris Orsay, 2003-2005 and 2009. He was a Visiting Professor at King Saud University. He was an advisor to many Computer Science and Electrical Engineering departments in several countries. Bayoumi was on the State of Louisiana Comprehensive Energy Policy Committee. He was the vice president of Acadiana Technology Council. He was on the Chamber of Commerce Tourism and Education committees. He was a member of several delegations representing Lafayette to international cities. He was on the Le Centre International Board. He was the general chair of SEASME (an organization of French Speaking cities) conference in Lafayette. He is a member of Lafayette Leadership Institute, he was a founding member of its executive committee. He was a column editor for Lafayette Newspaper; the Daily Advertiser.

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Dr. Yasser Rasheed  
Intel Corporation

Invited Talk 3: Cyber security: Current Status And Future Challenges

Abstract- This talk will cover the state and evolution of cyber security, the current challenges and solution opportunities. It will also cover the top four priorities for cyber security, namely Identity protection, data protection, threat detection/prevention and disaster recovery, followed by a discussion on advanced innovations such the use of block chain, artificial intelligence and/or machine learning to solve some of hardest cyber security challenges.

Please check Dr. Yasser's tutorial/workshop titled: The evolution of cyber security challenges and solution opportunities

Biography- Yasser Rasheed is the Global Director of Endpoint Security Products at Intel. He leads worldwide sales for Intel's HW-based end-point security solutions and products, such as Intel® Authenticate and Intel® Data Guard. Prior to this role, Yasser was the CTO for Intel's Business Client Platform Division, responsible for product definition, architecture and execution of key innovations for Intel's business client platforms. Dr. Rasheed has been with Intel since 2000, where he led various R&D projects and played an instrumental role in establishing Intel's early vision for Digital and Connected Home. Yasser holds a Ph.D. in Electrical and Computer Engineering from the University of Toronto, and an Executive MBA from the University of Oregon.

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Prof. Kassem Saleh   (CISSP, PMP and PMI-BA)
Kuwait University

Invited Talk 7: Effective Stakeholder Engagement for Successful Software Development Projects

Abstract- One of the main reasons for failed and challenged software development projects is the lack of proper stakeholder management and engagement during the different phases of the project life cycle. Processes, techniques and tools to deal effectively with stakeholders need to be implemented and used to ensure the elicitation of relevant requirements specifications and the proper control over changes to these requirements. Using well defined processes and appropriate tools and techniques guarantees the deployment of high quality software systems, in addition to meeting the time, budget and scope constraints of the software development project. In this talk we present some of the recent advances in software engineering, software project management and business analysis that deal explicitly with stakeholders. In addition, exposure to the recent business analysis body of knowledge pertaining to stakeholder management will be provided.

Biography- Dr. Kassem A. Saleh received his BSc, MSc, and PhD in Computer Science from the University of Ottawa in Canada in 1984, 1985 and 1991, respectively. Dr. Saleh worked as a Software Design Engineer at Northern Telecom in 1984 and then as a Computer Systems Specialist at Mediatel, Bell Canada, from 1985 to 1991. He is currently a Professor in Information Sciences at Kuwait University. Kassem was on the faculty of Concordia University during 1991-1992, Kuwait University from 1992 to 2000, and the American University of Sharjah from 2000 to 2007. Dr. Saleh is a Senior Member of IEEE and a Professional Member of the ACM. His research interests include software engineering, requirements engineering, information security, quality and risk management and project management. Dr. Saleh has published more than 130 refereed journal and conference papers and has presented numerous tutorials and lectures at various international conferences and universities. Dr. Saleh has authored a textbook on Software Engineering in 2009. The Journal of Systems and Software has ranked Dr. Saleh among the top scholars in the field of systems and software engineering in seven of its annual assessments published from 1996 to 2003. Dr Saleh is a Certified Information Systems Security Professional (CISSP), a Project Management Professional (PMP), a Certified Software Quality Engineer (CSQA), a Certified Quality Engineer (CQE), a Certified Professional Software Engineering Master (CPSEM), a Risk Management Professional (PMI-RMP) and a Business Analysis Professional (PMI-BA).

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Dr. Malak Al-Nory   (Provost of Effat University)
Effat University

Invited Talk 2: Clean Water and Clean Energy Decision Optimization

Abstract- The transformations in the world economies today towards more sustainable and smart economies are creating many challenges. These challenges require systematic decision-making addressing numerous numbers of alternative solutions and considering large number of dimensions. Technology based innovative solutions are needed more than ever to solve such complicated problems and to provide integrative approaches to address these problems holistically. Technology supported methodologies can provide decision makers with simulation and optimization tools to model and solve various problems. In our work, we provide modeling and optimization methodologies to solve problems in various key industries such as water desalination, renewable energy, and smart grids.

The suggested methodology for water desalination provided a set of modular simulation components to allow the creation of complex models to optimize the entire water desalination supply chain quickly and easily. The optimization is based on mathematical programming (MP) models that can be solved by external MP solvers. The methodology discussed the various decisions involved in the strategic planning of desalination options including the plant locations, technology type, capacities, operational considerations, distribution network structure and capacity, and environmental considerations. In combination of GIS infrastructure and utility network analysis, optimization tools can be used to build fully integrated decision support systems for water resource planners.

We also proposed a methodology for the management of renewable energy sources when integrated with water desalination. The methodology provides mathematical models to be used in the cogeneration of electricity and desalinated water. The developed models take into consideration the deviations in the demands and the variations in renewable energy generation and exploit excess power from renewable sources as well. In another proposed methodology, we consider the stress on the smart grid caused by the mismatch of two variables; the variability of the demand on energy from end consumers and the variability of supply from the renewable energy sources. The selection of the storage technique and the specific storage device are very critical aspects to the success of the integration of renewable energy sources into the smart grid since this requires careful evaluation of available techniques and effective scheduling of their operations. The suggested methodology allows engineers and the decision makers in selecting the most efficient storage systems Pumped Hydro Storage and different types of batteries from economic and performance aspects and allows integrating the operations such that the interruption of the power supply is minimized.

Biography- Dr. Malak Al-Nory is a technologist, academician, strategic planner, and clean water and clean energy supply chain researcher and expert. Dr. Al-Nory created decision models and tools for strategic water and clean energy resource management and planning based on analytical assessment and mathematical optimization models. Her applied research on the Saudi Arabian desalination supply chain decision analysis and optimization has been proposed to aid Water and Clean Energy resource planners and decision makers in Saudi Arabia in a sustainable and an economic development for desalination capacity expansions. Her related work has been published in highly regarded scientific journals and international conference proceedings. She is also a member in the editorial board of the npj Nature Clean Water Journal.

Dr. Al-Nory held a post as a Postdoctoral Fellow in Massachusetts Institute of Technology (MIT), Cambridge, USA and was the 1st Ibn Khaldun Fellow at The Center for Clean Water and Clean Energy at MIT and KFUPM. Currently she is a Visiting Scholar at the Mechanical Engineering Department at MIT studying innovative solutions to Renewable Energy integration in collaboration with MIT Lincoln Lab.

Dr. Al-Nory served as the Department Chair of Information Systems Department at the College of Engineering in Effat University, Jeddah. She is also served as the Dean of Graduate Studies and Research and now she is the Provost of Effat University. For several years, she organized the annual Learning and Technology Conference and organized and chaired the Women in Engineering and Women in Energy sessions in Saudi Arabia Smart Grid and Sustainable Energy Conference to encourage Saudi women participation in Science and in Engineering.

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Dr. Hani El-Gebali   (Intel Corporation: Middle East Wireless Communication Lab, Ex-Director)
CEO AvidBeam Technologies Inc.

Invited Talk 6: Towards Digital Lifestyles; Technology, Innovation & Transformation

Abstract- We explore technology trends that revolutionized our living and led to more sustainable lifestyles, societies and economies. We overview some of the latest technology trends in Big Data processing, computer vision, deep learning and backend analytics processing. We will overview applications for these technologies from various industrial sectors and show how many industrial sectors can be impacted in a significant way using these technologies. We explore how technology can transform some industries to achieve new breakthroughs in cost savings, performance and accuracy. We touch upon the role of deep learning and how it contributed to improving accuracy and confidence in the resulting data across industries. We also look at technology advancements and propose some predictions about how new innovative trends are going to change our lifestyles in the future.

Biography- Hani Elgebaly is the founder and chief executive officer of AvidBeam Technologies Inc., a Video Big Data analytics company. AvidBeam is a pioneering startup in scaling video processing over the cloud with Big Data, machine learning and computer vision algorithms to new levels. They developed scalable video processing applications for the autonomous vehicle, security surveillance, retail and manufacturing markets.

Before founding AvidBeam, Dr. Elgebaly spent 19 years with Intel Corporation mostly in Oregon, USA. During this period, he led many multimedia product development with Intel, played a key role in the development of new international standards for wireless enterprise and cellular technologies, IP Telephony and videoconferencing and delivered innovative platform architectures and products with Intel such as Centrino® ProT Manageability & Security, Proshare© Videophone, Intel Create & Share© and software components for Microsoft's Netmeeting conferencing SDK.

During his tenure with Intel, he led the instantiation of Intel Mobile Platform Software Group in Bangalore, India in 2004 and championed the establishment of the first instantiation of Intel Labs in the Middle East and Africa in Cairo, Egypt in 2010. He also led the establishment of Wireless Center of Excellence (CEWA) in Riyadh, Saudi Arabia.

Hani has more than 20 issued US patents, 10 international standard contributions and over 40 journal and conference publications. He is a Senior IEEE member and was nominated for Canada's Governor General Award for scholarly academia achievement and also for Distinguished Researcher Award for unusual contribution in a PhD dissertation.

He received his Ph.D. degree in computer science from the University of Victoria, British Columbia, Canada, M.S. degree in computational science from University of Saskatchewan, Canada, and B.S. degree in Electrical and Computer Engineering with highest honors from Cairo University, Egypt.

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