Events

Nov 10 - Nov 16, 2019

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  Eric Feron's world: A short introduction

  Eric Feron, Professor, Electrical and Computer Engineering

  Nov 14, 12:00 - 13:00

  B3 L5 R5209

  aerospace information systems aerospace software engineering drones Lyapunov functions

  Over the past 30 years, my research has focused on problems involving aerospace information systems, give or take a couple of exceptions - I also seem to like things with wheels-. In the talk, I will introduce and discuss a few research topics that, I believe, best describe the kind of research I like to perform. The topics will include things as diverse as drones, airports, and the hunt for Lyapunov functions. I will also introduce an educational initiative focusing on systematically restoring "the sense of touch" in all Engineering disciplines, and which I would like to experiment with as part of the courses I will be in charge of at KAUST.
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  Integration Strategy for Standalone Compliant Interactive Systems for Add-on Electronics

  Sherjeel Khan, Ph.D. Student, Electrical and Computer Engineering

  Nov 12, 16:30 - 18:00

  B9 L3 R3125

  IoT DIY sensors

  Physically compliant electronics are scientifically intriguing, mechanically complex, ‎technologically ‎challenging but with huge socio-economical potential. Until now the target applications ‎for ‎flexible electronics have been limited to displays, solar cells, printed batteries, wearables, and ‎implantable. However, with the emergence and growth of Internet of Things (IoT) devices ‎worldwide ‎from nearly 27 billion in 2017 to 125 billion in 2030, in this PhD research, expanding the ‎horizon of ‎applications for flexible electronics toward existing “things” will be explored. Low-cost sustainable materials as active electronic materials and a ‎Do-It-Yourself (DIY) integration strategy is used to build “Add-on” standalone sensory system which can be ‎attached to any ‎existing things like a decal. Such electronics can also be embedded in newly minted ‎devices specially ‎using additive methods.
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  Negative Capacitance and Its Potential Use for Next Generation Computing Technology

  Prof. Sayeef Salahuddin, Electrical Engineering and Computer Sciences, University of California Berkeley

  Nov 12, 12:00 - 13:00

  B9 L3 R3125

  negative capacitance

  Power constraint has become a critical challenge for computing, restricting the rate at which data can be processed. The physics of ordered and correlated systems allow for fundamental improvement of the energy efficiency in this regard, going beyond what is possible with conventional materials in today’s computing hardware. One such example is the the ferroelectric materials, where thermodynamics dictate that charge can be switched with much lower energy compared to conventional dielectrics. This leads to a situation where a ferroelectric material can be stabilized at a state of negative capacitance. In this talk, I shall discuss our experimental work demonstrating the stabilization of negative capacitance, its integration into advanced transistors, and its potential impact on next generation computing hardware.
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  Deep-Ultraviolet Optoelectronic Devices Enabled by the Hybrid Integration of Next-Generation Semiconductors and Emerging Device Platforms

  Nasir Alfaraj, Ibn Rushd Postdoctoral Fellow, The Edward S. Rogers Sr. Department of Electrical and Computer Engineering, University of Toronto

  Nov 11, 18:00 - 20:00

  B3 L5 R5209

  photonics ultraviolet wavelengths optoelectronics

  In this dissertation, the design and fabrication of deep-ultraviolet photodetectors, based on gallium oxide and its alloys, through the heterogeneous integration with metallic and other inorganic materials is investigated. The crystallographic properties of grown oxide films formed directly and indirectly on silicon, magnesium oxide, and sapphire are examined, and the challenges that hinder the realization of efficient and reliable deep-ultraviolet photodetectors are elaborated on. I provide an overview of aluminum nitride, gallium oxide, sapphire, and silicon substrates as platforms for deep-ultraviolet optoelectronic devices, in which I elaborate on the challenges associated with using sapphire as a platform for efficient deep-ultraviolet devices and detail advancements in device growth and fabrication on silicon and magnesium oxide substrates.
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  Wafer-Scale Fabrication of 2D Materials based Memristive Crossbar Arrays with Record Electrical Performance

  Prof. Mario Lanza, Nanoelectronics, Soochow University

  Nov 11, 15:45 - 17:00

  B2 L5 R5209

  material fabrication memristive crossbar arrays

  In this seminar, I will present the first wafer-scale statistical analysis of memristive crossbar arrays made of 2D layered materials. By using chemical vapor deposited multilayer hexagonal boron nitride (h-BN) sheets, we have fabricated metal/h-BN/metal memristive crossbar arrays that exhibit high yield ~98%, and low device-to-device variability. The devices showed record electrical performance, including stable operation at ultra-low currents down to 110 fA in low resistive state, ON/OFF current ratios up to 1011, record non-linearity of
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  EE 398 Graduate Seminar

  Tareq Al-Naffouri, Professor, Electrical and Computer Engineering

  Nov 10, 12:00 - 13:00

  B9 L2 H1 R2322

  Tareq Al-Naffouri is a professor of Electrical Engineering (EE) and Principale investigator of the Information System Lab (ISL). He is also an active member of the Sensor Initiative (SI) at the King Abdullah University of Sciences and Technology, Saudi Arabia.

Nov 3 - Nov 9, 2019

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  Additively Manufactured Conformal Microwave Sensors for Applications in Oil Industry

  Muhammad Akram Karimi, Ph.D., Electrical and Computer Engineering

  Nov 7, 16:30 - 19:00

  B3 L5 R5220

  energy harvesting oil and gas sensors embedded systems multiphase meters oil industry

  Modern industries are adapting smart ways of monitoring their processes to ensure smooth operations. Sensors capable of early detection of a problem are becoming the norm in industrial processes. This is key to the development of the “Internet of Things” (IoT), in which billions of interconnected devices will work together to make smart decisions. Sensors that can detect and communicate the process information are essential ingredients of any IoT-enabled network. Since billions of such sensor nodes will be required in the future, the low cost will be an important feature for these devices. Consistent with the above-mentioned trends, the oil industry is also adapting smart monitoring and actuation mechanisms for its day-to-day operations. This thesis is focused on developing low-cost sensors, which can increase oil production efficiency through real-time monitoring of oil wells and also help in the safe transport of oil products from the wells to the refineries.
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  Reproducibility in Computer Science - Part 3

  Roy Maxion, Research Professor, Computer Science Department, Carnegie Mellon University

  Nov 6, 16:00 - 17:00

  B9 L3 R3223

  reproducibility issues reliability testing Computer science complex models artificial intelligence machine learning scientific enterprise

  Roy Maxion will give three lectures focusing broadly on different aspects of an increasingly important topic: reproducibility. Reproducibility tests the reliability of an experimental result and is one of the foundations of the entire scientific enterprise. We often hear that certain foods are good for you, and a few years later we learn that they're not. A series of results in cancer research was examined to see if they were reproducible. A startling number of them - 47 out of 53 - were not. Matters of reproducibility are now cropping up in computer science, and given the importance of computing in the world, it's essential that our own results are reproducible -- perhaps especially the ones based on complex models or data sets, and artificial intelligence or machine learning. This lecture series will expose attendees to several issues in ensuring reproducibility, with the goal of teaching students (and others) some of the crucial aspects of making their own science reproducible. Hint: it goes much farther than merely making your data available to the public.
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  Reproducibility in Computer Science - Part 2

  Roy Maxion, Research Professor, Computer Science Department, Carnegie Mellon University

  Nov 5, 16:00 - 17:00

  B9 L3 R3223

  reproducibility issues reliability testing Computer science complex models artificial intelligence machine learning scientific enterprise

  Roy Maxion will give three lectures focusing broadly on different aspects of an increasingly important topic: reproducibility. Reproducibility tests the reliability of an experimental result and is one of the foundations of the entire scientific enterprise. We often hear that certain foods are good for you, and a few years later we learn that they're not. A series of results in cancer research was examined to see if they were reproducible. A startling number of them - 47 out of 53 - were not. Matters of reproducibility are now cropping up in computer science, and given the importance of computing in the world, it's essential that our own results are reproducible -- perhaps especially the ones based on complex models or data sets, and artificial intelligence or machine learning. This lecture series will expose attendees to several issues in ensuring reproducibility, with the goal of teaching students (and others) some of the crucial aspects of making their own science reproducible. Hint: it goes much farther than merely making your data available to the public.
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  Reproducibility in Computer Science - Part 1

  Roy Maxion, Research Professor, Computer Science Department, Carnegie Mellon University

  Nov 4, 16:00 - 17:00

  B9 L3 R3223

  reproducibility issues reliability testing Computer science complex models artificial intelligence machine learning scientific enterprise

  Roy Maxion will give three lectures focusing broadly on different aspects of an increasingly important topic: reproducibility. Reproducibility tests the reliability of an experimental result and is one of the foundations of the entire scientific enterprise. We often hear that certain foods are good for you, and a few years later we learn that they're not. A series of results in cancer research was examined to see if they were reproducible. A startling number of them - 47 out of 53 - were not. Matters of reproducibility are now cropping up in computer science, and given the importance of computing in the world, it's essential that our own results are reproducible -- perhaps especially the ones based on complex models or data sets, and artificial intelligence or machine learning. This lecture series will expose attendees to several issues in ensuring reproducibility, with the goal of teaching students (and others) some of the crucial aspects of making their own science reproducible. Hint: it goes much farther than merely making your data available to the public.
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  Efficient and Accurate Numerical Methods for Transient Electromagnetic Analysis - 2019

  Hakan Bagci, Associate Dean for Students, Computer, Electrical and Mathematical Sciences and Engineering

  Nov 3, 12:00 - 13:00

  B9 L2 H1 R2322

  Hakan Bagci is an Associate Professor of Electrical Engineering (EE) and Principal Investigator of the Computational Electromagnetics Laboratory (CEML). His scientific contribution are in advancing high-speed and long-distance communication, energy transfer, and medical imaging. Bagci’s research interests are in various aspects of applied and theoretical computational electromagnetics with emphasis on Time-domain integral-equations and their fast marching-on-in-time-based solutions and solvers to the characterization of wave interactions on complex integrated and electrically large system of photonics and optics.

Oct 20 - Oct 26, 2019

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  Key Enabling Techniques and Practical Considerations for Signal and Information Processing in 5G Cellular Network

  Chung-An Shen, Associate Professor, National Taiwan University of Science and Technology

  Oct 22, 12:00 - 13:00

  B9 L2 H2

  Digital signal processing Cellular Networks 5G networks

  Abstract The 5th Generation (5G) wireless communication provides considerably enhanced user experiences and offers possibilities of more intriguing applications. In order to fulfil the requirements of 5G like low-latency, energy efficient, and high reliability, many enabling technologies from the physical layer signal processing to the design of network architecture are proposed which all increase the demand for more computing capabilities. This talk gives an overview of the practical considerations, challenges, and techniques for the 5G cellular network. In particular, this talk contains two
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  Magnetic Polymer Composite Transducers for Integrated Systems

  Mohammed Asadullah Khan, Ph.D., Electrical and Computer Engineering

  Oct 21, 14:30 - 15:30

  B3 L5 R5220

  Compact, autonomous computing systems with integrated transducers are imperative to deliver advances in healthcare, navigation, livestock monitoring, point of care diagnostics, remote sensing, internet-of-things applications, smart cities etc. Reflecting this need, there has been sustained growth in the market for transducers. Polymer based transducers, which meld highly desirable properties such as low cost, light weight, high manufacturability, biocompatibility and flexibility, are quite attractive. Doping polymers with magnetic materials results in the formation of magnetic composite polymers, enhancing the attractive traits of polymer transducers with magnetic properties. This dissertation is dedicated to the development of magnetic polymer transducers, which are suitable for energy harvesting and saline fluid transduction.
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  Hybrid integration of materials for ultraviolet detection

  Tien Khee Ng, Principal Research Scientist, Photonics Laboratory

  Oct 20, 12:00 - 13:00

  B9 L2 H1 R2322

  semiconductors electronics optoelectronics AlInGaN-based lasers LED silicon-based photodetectors solving technological challenges ultraviolet detection Optical communications

  Semiconductors are pervasive in consumer electronics and optoelectronics, and the related optical devices are deemed disruptive that Nobel Prize in Physics in 2014 was awarded to the inventors of blue light-emitting diodes (LEDs), which “has enabled bright and energy-saving white light sources”. While AlInGaN-based lasers and LEDs, and silicon-based photodetectors are currently matured, unconventional usage based on the materials has demonstrated their further potential, including solar-hydrogen generation, indoor-horticulture, and high-speed communication.

Oct 13 - Oct 19, 2019

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  Engineering Organic Electronics for Biology - 2019-10-13

  Sahika Inal, Associate Professor, Bioengineering

  Oct 13, 12:00 - 13:00

  B9 L2 H1 R2322

  bioelectronics Implantable devices soft conducting polymers organic electrochemical transistors

  The field of bioelectronics combines the worlds of electronics and biology with the aim of developing new tools for biomedical research and healthcare. The majority of implantable devices are mechanically stiff and the mechanical properties mismatch with soft tissue causes an immune response which results in their rejection from the body. Another limitation is associated with the fact that most devices utilize metal electrodes to record from/stimulate tissue. These electrodes offer limited coupling with ion fluxes used by cells to communicate with each other, resulting in low efficiency. Such challenges can be overcome with the integration of soft, conducting polymers displaying mixed (ionic and electronic) conduction. In this talk, I will present approaches that leverage the properties of organic conducting materials in order to develop bioelectronic devices interfacing with the body. These devices include organic electrochemical transistors for measuring metabolites, neural activity and integrity of cellular layers.

Oct 6 - Oct 12, 2019

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  Strong, Versatile and Invisible - Magnetic Transducers

  Oct 6, 12:00 - 13:00

  B9 L2 H1 R2322

  Abstract Magnetic transducers have enabled technological progress for more than 2000 years ago, from the compass to contemporary biomedical or spintronic devices. Magnetic fields can produce large forces and act across large distances while being harmless to living beings. Today, modern cars employ more than 100 magnetic sensors, trains float above the ground and magnetic resonance imaging provides medical images without using harmful radiation. Recent advancements in fabrication technologies are paving the way for better performances and new applications. For instance, we can control, detect

Sep 29 - Oct 5, 2019

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  Virtual sensing: methods and applications

  Sep 29, 12:00 - 13:00

  B9 L2 H1 R2322

  virtual sensors effective estimation methods non-measurable variables optimization sustainable desalination health monitoring

  Abstract Due to the inherent complexity, physical or economical constraints, a number of important physical and biological systems are inaccessible. Only few, often indirect, experimental data are available to extract information or to manipulate and control the system. Introduced as a promising technology to respond to the growing need for reliable, accurate, fast, robust and low-cost sensing strategies, virtual sensors are gaining importance in several fields. These sensors combine the available data with effective estimation methods and algorithms to access non-measurable variables of

Sep 15 - Sep 21, 2019

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  Visible Light Communications in the UK: Recent Progress and Future Outlook

  Dr. Paul Anthony Haigh,Lecturer in Communications, Intelligent Sensing and Communications Group,Newcastle University

  Sep 17, 13:00 - 14:00

  B2 L5 R5220

  Visible light communications

  Abstract Visible light communications (VLC) is a hot topic in internet access networks, developing rapidly over the last decade. It has become one of the main candidate technologies to complement existing radio infrastructure in 5G and beyond technologies due to its inherent advantages such as high bandwidth and room-to-room security. In this talk, I will discuss several of the key developments that have occurred within the context of the UK research community, with particular focus on polymer photoactive components based on research that has occurred through my time at University College

Sep 8 - Sep 14, 2019

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  Study of III-nitride Nanowire Growth and Devices on Unconventional Substrates

  Aditya Prabaswara, Ph.D., Electrical and Computer Engineering

  Sep 12, 09:30 - 11:00

  B3 L5 R5209

  semiconductors III-nitride nanowires optoelectronics

  This thesis aims to investigate the microscopic characteristics of the nanowires and expand on the possibility of using transparent amorphous substrate for III-nitride nanowire devices. In this work, we performed material growth, characterization, and device fabrication of III-nitride nanowires grown using molecular beam epitaxy on unconventional substrates including silicon substrates and fused silica substrates. We also investigated the effect of various nucleation layers on the morphology and quality of the nanowires.
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  Laser lighting and its application in visible light communications

  Boon Ooi, Al-Khawarzmi Distinguished Professor, Electrical and Computer Engineering

  Sep 8, 12:00 - 13:00

  B9 L2 R2322

  laser-lighting Visible light communications Underwater communication high-speed transmitters high-speed receivers

  This talk provides an overview of the latest laser-based lighting and Gbit/s VLC and underwater communications. Recent progress of visible wavelength high-speed transmitters and receivers will also be discussed.

Sep 1 - Sep 7, 2019

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  Data assimilation and optimal control in the context of UAV-based flash flood monitoring

  Christian Claudel, Assistant Professor, Architectural and Environmental Engineering at UT-Austin

  Sep 4, 10:00 - 11:00

  B5 L5 R5209

  UAV flood monitoring control systems

  Flash floods are one of the most common natural disasters worldwide, causing thousands of casualties every year. The emergence of Unmanned Aerial Vehicles (UAVs) gives the possibility to monitor these events over large geographical areas. In this talk, we focus on the problem of trajectory planning for a swarm of unmanned aerial vehicles sensing flooding conditions.
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  Flexible, Wearable, Disposable Wireless Communication and Sensing Systems Through Additive Manufacturing - 2019

  Atif Shamim, Program Chair, Electrical and Computer Engineering

  Sep 1, 12:00 - 13:00

  B9 L2 H1

  additive manufacturing sensors electronics

  With the advent of wearable sensors and internet of things (IoT), there is a new focus on electronics which can be bent so that they can be worn or mounted on non-planar objects. Due to large volume (billions of devices), there is a requirement that the cost is extremely low, to the extent that they become disposable. The flexible and low-cost aspects can be addressed through additive manufacturing technologies such as inkjet, screen and 3D printing. This talk introduces additive manufacturing as an emerging technique to realize low cost, flexible and wearable wireless communication and sensing systems.

Aug 25 - Aug 31, 2019

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  Compliant Electronics for Unusual Environments

  Amani Almuslem, Ph.D. Student, Electrical and Computer Engineering

  Aug 25, 17:00 - 18:00

  B3 L5 R5209

  compliant electronics Implantable devices

  Abstract Compliant electronics are an emerging class of electronics which offer physical flexibility in their structure. Such mechanical flexibility opens up opportunities for wide ranging applications. Nonetheless, compliant electronics which can be functional in unusual environments are yet to be explored. Unusual environment can constitute a harsh environment where temperature and/or pressure is much higher or lower than the usual room temperature and/or pressure. Unusual environment can be an aquatic environment, such as ocean/sea/river/pond, industrial processing related liquid and bodily
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  UV light emitter – challenges and new approaches – an example of device oriented R&D at PORT

  Prof. Detlef Hommel, Polish Center for Technology development, Wroclaw University

  Aug 25, 12:00 - 13:00

  B9 L2 H1

  UV Emitter PORT

  The Wroław Research Center EIT+ was established in 2007 and renamed in 2018 into Polish Center for technology Development. This year PORT became an institute of the Łukasiewicz Network having similar goals like the Fraunhofer Society in Germany as an applied center for R&D. The presentation will concentrate on my research projects on deep-UV emitters. Going from UV-B (320-280nm) to UV-C (280-200nm) the external quantum efficiency decreases drastically and no breakthrough was obtained here based on high-Al content AlGaN. New, unconventional material combinations are needed to overcome these problems. One idea here is to add a small amount of arsenic to (Al,Ga)N to shift the valence band upwards and to increase the hole concentrations which is crucial for increasing the efficiencies of UV-C emitters. Results will be presented confirming this approach. Another idea is connected with strain engineering by using w-BN. This will allow to shift the unwanted TE to TM transition towards larges bandgaps (higher Al-contents).

Jul 28 - Aug 3, 2019

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  Part 3: Boundary Control of Continuum Problems

  Professor Mamadou L. Diagne, Rensselaer Polytechnic Institute

  Jul 31, 10:30 - 15:00

  B9 L3 R3131

  Partial Differential Equations

  Partial Differential Equations (PDEs) are often used to model various complex physical systems. Representative engineering applications such as heat exchangers, transmission lines, oil wells, road traffic, multiphase flow, melting phenomena, supply chains, collective dynamics, and even chemical processes governing the state of charge of Lithium-ion battery, extrusion, reactors to mention a few. Generally, key aspects of these processes operating mode are driven by convection phenomena with a spatiotemporal dynamic that cannot be approximated straightforwardly using a finite-dimensional representation. This course will explore the boundary control of several class of PDEs via the well-known backstepping method.
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  Study of ultraviolet AlGaN nanowires light-emitting diodes

  Davide Priante, Ph.D., Electrical and Computer Engineering

  Jul 30, 16:00 - 17:00

  B3 L5 R5209

  photonics optoelectronics nanofabrication

  Ultraviolet (UV) group III-Nitride-based light emitters have been used in various applications such as water purification, medicine, lighting and chemical detection. Despite attractive properties such as bandgap tunability in the whole UV range (UV-C to UV-A), high chemical stability and relative low cost, the low quantum efficiency hamper the full utilization. This thesis aims to show alternative solutions to such problems by employing nanowires (NWs) structures, and target the eventual application of reliable and high power NWs-based light-emitting devices, enabling large-scale production using the established silicon foundry processes. Here, we present the improvement of injection current and optical power of AlGaN NWs LEDs by involving a metal bilayer thin film with a dual purpose: eliminate the potential barrier for carrier transport, and inhibit the formation of silicide.
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  Part 2: Boundary Control of Continuum Problems

  Professor Mamadou L. Diagne, Rensselaer Polytechnic Institute

  Jul 30, 10:30 - 15:00

  B9 L3 R3131

  Partial Differential Equations

  Partial Differential Equations (PDEs) are often used to model various complex physical systems. Representative engineering applications such as heat exchangers, transmission lines, oil wells, road traffic, multiphase flow, melting phenomena, supply chains, collective dynamics, and even chemical processes governing the state of charge of Lithium-ion battery, extrusion, reactors to mention a few. Generally, key aspects of these processes operating mode are driven by convection phenomena with a spatiotemporal dynamic that cannot be approximated straightforwardly using a finite-dimensional representation. This course will explore the boundary control of several class of PDEs via the well-known backstepping method.
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  Photonics Summer Camp 2019 - The Final Presentations

  Photonics Summer Camp Participants

  Jul 30, 08:30 - 11:00

  B2 B3 A0215

  photonics interships

  International Students in CEMSE who attended Photonics Summer Camp 2019, will present their research findings and experience of KAUST, in 10 minute presentations. Breakfast will be served. All KAUST affiliates are welcome to attend. The Photonics Summer Camp is an international internship program, currently in it’s 4th year. The program is just 4 weeks long and is designed to welcome overseas and local students to KAUST, in order to facilitate research innovation and collaboration amongst the next generation of photonics researchers. The program is sponsored by the CEMSE Division, with support from Graduate Affairs, and the International Programs Office.
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  Part 1: Boundary Control of Continuum Problems

  Professor Mamadou L. Diagne, Rensselaer Polytechnic Institute

  Jul 29, 10:30 - 15:00

  B9 L3 R3131

  Partial Differential Equations

  Partial Differential Equations (PDEs) are often used to model various complex physical systems. Representative engineering applications such as heat exchangers, transmission lines, oil wells, road traffic, multiphase flow, melting phenomena, supply chains, collective dynamics, and even chemical processes governing the state of charge of Lithium-ion battery, extrusion, reactors to mention a few. Generally, key aspects of these processes operating mode are driven by convection phenomena with a spatiotemporal dynamic that cannot be approximated straightforwardly using a finite-dimensional representation. This course will explore the boundary control of several class of PDEs via the well-known backstepping method.
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  Traffic Monitoring and MAC-Layer Design for Future IoT Systems

  Enas M. Odat, Ph.D. Student, Electrical and Computer Engineering

  Jul 28, 14:00 - 16:00

  B1 L4 R4214

  machine learning game theory cyber-physical systems

  The advances in the technology and the emergence of low complexity intelligent devices result in the evolution of the Internet-of-Things (IoT). One of the most important resources is the wireless channel, which is a shared resource; thus, it is necessary for the nodes to have methods that schedule channel access. This thesis considers the problem of distributed sensing and channel access in the context of IoT systems, where a set of selfish nodes competes for transmission opportunities. In the channel access part, a memory-one channel access game is proposed to reduce the collision rate, to enhance the cooperation among the nodes, and to maximize their payoffs by optimizing their channel access probabilities, based on the channel state in the previous time step.

Jul 7 - Jul 13, 2019

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  Publishing Advanced Materials Science – How to maximize your success!

  Dr. Jos Lenders, Deputy Editor, Advanced Materials, Wiley

  Jul 9, 14:00 - 15:00

  B3 L5 R5209

  materials science wiley advanced materials

  Materials science is a multidisciplinary field of research with many different scientists and engineers having various backgrounds active in it. The literature landscape consequently is populated currently by a wide range of journals which greatly differ in purpose, scope, quality, and readership. Jos Lenders, Deputy Editor of Advanced Materials, Advanced Functional Materials, and Advanced Optical Materials, will track some of the most important developments and trends in the research field and the Advanced journals program. Last year, Advanced Materials reached an Impact Factor of 21.95 and received over 8,300 submissions – and Advanced Functional Materials over 9,200. Only around 15% of all those papers made it to publication in the journal, and this rate is similar for all other Advanced journals. So, what do editors do to select the very best papers, and what can authors do to optimize their chances of having their manuscripts accepted?
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  Wireless Network Intelligence @ the Edge

  Dr. Mehdi Bennis, Associate Professor, Centre for Wireless Communications, University of Oulu

  Jul 8, 11:00 - 12:00

  B1 L3 R3119

  machine learning game theory Heterogeneous networks

  In just a few years, breakthroughs in machine learning (ML) and particularly deep learning have transformed every aspects of our lives from face recognition, medical diagnosis, and natural language processing. This progress has been fueled mainly by the availability of more data and more computing power. However, the current premise in classical ML is based on a single node in a centralized and remote data center with full access to a global dataset and a massive amount of storage and computing, sifting through this data for inference.
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  Spectrum Management for Future Generations of Cellular Networks

  Itsikiantsoa Randrianantenaina, Ph.D., Electrical and Computer Engineering

  Jul 8, 08:30 - 10:30

  B1 L2 R2202

  Wireless Communications Stochastic Geometry optimization Cellular Networks

  The demand for wireless communication is ceaselessly increasing in terms of the number of subscribers and services. Future generations of cellular networks are expected to allow not only humans but also machines to be immersively connected. However, the radio frequency spectrum is already fully allocated. Therefore, developing techniques to increase spectrum efficiency has become necessary. In that context, this dissertation analyzes two spectrum sharing techniques that enable efficient utilization of the available radio resources in cellular networks. The first technique, called full-duplex (FD) communication, uses the same spectrum to transmit and receive simultaneously. The second spectrum sharing technique, called non-orthogonal multiple access (NOMA), allows a transmitter to communicate with multiple receivers through the same frequency-time resource unit.

Jun 30 - Jul 6, 2019

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  Abstract Writing

  Prof. Liching Chiu, Graduate Program of Teaching Chinese as a Second Language (TCSL), National Taiwan University

  Jul 2, 10:00 - 11:00

  B3 L5 R5209

  Scientific Writing

  This series of lectures guide students to the preparation and analysis of a well-organized abstract. We will discuss the proper language (tense, voice, and person) for abstract writing, and learn how to meet the purposes of different abstracts. Finally, students will have a chance to compose and evaluate their writing. Topics: Overview of abstract writing; Conference abstract journal abstract; Organization of an abstract; Language conventions of abstract writing; Disciplinary abstract analysis; Frequent mistakes of abstract writing.
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  Physical Layer Security of Wireless-powered NOMA-based Cognitive Radio Networks: Fundamentals & Challenges

  Dr. Faissal El Bouanani, Chair of CommNet and ACOSIS conferences

  Jul 1, 11:00 - 12:00

  B1 L2 R2202

  Cognitive radio network IoT 5G and beyond

  Abstract In the last decade, with the emergence of the internet of things (IoT) as well as machine-to-machine (M2M) paradigms, future wireless networks are targeting new critical services such as remote healthcare, surveillance, transportation, etc. In this regard, with the massive expected number of connected IoT and M2M devices, several requirements have been imposed by the regulatory bodies onto the deployment of 5G network. These requirements include, but not limited to, higher connectivity, reduced latency, as well as increased spectral and energy efficiency. Interestingly, the

Jun 23 - Jun 29, 2019

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  Learning to Benchmark: predicting performance limits from data

  Prof. Alfred Hero, Electrical Engineering and Computer Science, University of Michigan

  Jun 25, 11:00 - 12:00

  B1 L4 R4214

  The objective of benchmark learning is to use a training sample to learn about fundamental limits on performance of a classifier or other statistical inference procedure. This meta-learning problem is a crucial component of data science and interpretable AI. Examples include sequential design of experiments, reinforcement learning and sensor management in the fields of statistics, machine learning and systems engineering, respectively. The challenge is learn about best achievable accuracy directly from the data sample without having to approximate and mplement an optimal classifier algorithm. In this talk we will introduce a general information theoretic framework that yields benchmark learners having both linear computational complexity and linear sample complexity. We will illustrate how this framework in the context of benchmarking image classification, autonomous navigation, and deep neural network performance.
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  5G IoT Networks: from Massive access to URLLC

  Prof. Yonghui Li, Director of Wireless Engineering Laboratory, The University of Sydney

  Jun 24, 16:30 - 17:30

  B1 L3 R3119

  the university of sydney IoT M2M Communication

  Connected smart objects, platforms and environments have been identified as the next big technology development, enabling significant society changes and economic growth. The entire physical world will be connected to the Internet. The intelligent network for automatic interaction and processing between objects and environments, referred to as the Machine to Machine Communications (M2M) for Internet of Things (IoT), will become an inherent part of areas such as electricity, transportation, industrial control, utilities management, healthcare, water resources management and mining. Wireless networks are one of the key enabling technologies of the IoT. They are likely to be universally used for last mile connectivity due to their flexibility, scalability and cost effectiveness.
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  Analysis and Optimization of Massive MIMO Systems via Random Matrix Theory Approaches

  Ikram Boukhedimi, Ph.D., Electrical and Computer Engineering

  Jun 24, 12:00 - 14:00

  B1 L3 R3119

  Random Matrix Theory wireless communication systems Ultra-massive MIMO systems

  Massive multiple-input multiple-output (MIMO) is a key enabling technology to achieve the required spectral and energy efficiency of the next generation of wireless networks. By endowing the base station (BS) with hundreds of antennas and relying on spatial multiplexing, massive MIMO allows impressive advantages in many fronts. To reduce this promising technology to reality, thorough performance analysis has to be conducted. Along this line, this work is focused on the convenient high-dimensionality of massive MIMO’s corresponding model. Indeed, the large number of antennas allows us to harness asymptotic results from Random Matrix Theory to provide accurate approximations of the main performance metrics. The derivations yield simple closed-form expressions that can be easily interpreted and manipulated in contrast to their alternative random equivalents. Accordingly, in this dissertation, we investigate massive MIMO in different contexts.
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  Random Matrix Theory: Selected Applications from Statistical Signal Processing and Machine Learning

  Khalil Elkhalil, Postdoctoral Research Fellow, Electrical and Computer Engineering

  Jun 24, 09:00 - 10:00

  B1 L4 R4214

  Random Matrix Theory machine learning high dimensional statistics data science

  Random matrix theory is an outstanding mathematical tool that has demonstrated its usefulness in many areas ranging from wireless communication to finance and economics. The main motivation behind its use comes from the fundamental role that random matrices play in modeling unknown and unpredictable physical quantities. In many situations, meaningful metrics expressed as scalar functionals of these random matrices arise naturally. Along this line, the present work consists in leveraging tools from random matrix theory in an attempt to answer fundamental questions related to applications from statistical signal processing and machine learning.

Jun 9 - Jun 15, 2019

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  Efficient Localization of Human Actions and Moments in Videos

  Victor Escorcia, Ph.D., Electrical and Computer Engineering

  Jun 11, 15:00 - 16:00

  B3 L5 R5220

  Computer Vision machine learning artificial intelligence

  Abstract We are stumbling across a video tsunami flooding our communication channels. The ubiquity of digital cameras and social networks has increased the amount of visual media content generated and shared by people, in particular videos. Cisco reports that 82% of the internet traffic would be in the form of videos by 2022. The computer vision community has embraced this challenge by offering the first building blocks to translate the visual data in segmented video clips into semantic tags. However, users usually require to go beyond tagging at the video level. For example, someone may want

May 26 - Jun 1, 2019

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  High Precision Comb-Assisted Molecular Spectroscopy in the Mid-Infrared

  Bidoor AlSaif, Ph.D. Student, Electrical and Computer Engineering

  May 27, 10:00 - 11:00

  B2 L5 R5220

  Optical sensors molecular spectroscopy

  The design of laser-based optical sensors relies heavily on precise spectroscopic knowledge of atomic and molecular absorption transitions. Accurate spectroscopic information is invaluable in several fields such as biology, chemistry, astronomy, and environmental science. Within the electromagnetic spectrum, the mid-infrared (MIR) region can enable sensors with higher sensitivity due to the stronger absorption cross-sections. Moreover, MIR spectral transitions correspond to the fundamental vibrational motions of the molecules and are thus considered fingerprints of the molecular structure. Vibrational bands contain many rotational transitions, resulting in fine-splitting of spectral bands, particularly in gaseous samples. In order to resolve the fine rotational structure of vibrational bands, high-resolution MIR spectrometers are needed.
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  Non-Orthogonal Multiple Access for 5G and Beyond

  Prof. Daniel Costa , Federal University of Ceará

  May 26, 14:00 - 15:00

  B1 L2 R2202

  Federal University of Ceará 5th generation cellular

  Non-orthogonal multiple access (NOMA) has recently emerged not only as a new design of multiple access techniques in cellular networks, but also as a general principle of network architecture for applications beyond cellular systems. This talk will present and discuss the fundamentals of NOMA, and examine how it can be combined with other emerging communication technologies. Some new research trends and challenges will also be discussed.

May 19 - May 25, 2019

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  Data mining and fusion for image analysis in remote sensing

  Dr. Wenzhi Liao, Ghent University, Belgium

  May 19, 12:00 - 13:00

  B2 L5 R5209

  Specifically, I will introduce hyperspectral image restoration and its impacts on content interpretation. Despite advances in sensor technologies, degradation (e.g., noise, blur, low resolution, etc.) cannot be avoided during the hyperspectral images’ acquisitions, which can affect information retrieval and content interpretation. The first part of my talk will present the techniques I developed to improve the image qualities (noise reduction, sharpening, resolution enhancement, etc.), with specific applications to plant disease mapping in precision agriculture and fruit bruise detection in food inspection.

May 12 - May 18, 2019

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  Sim-to-Real Transfer for Autonomous Navigation

  Matthias Mueller, Ph.D., Electrical and Computer Engineering

  May 14, 16:00 - 17:00

  B2 L5 R5220

  Computer Vision UAV robotics machine learning

  This work investigates the problem of transfer from simulation to the real world in the context of autonomous navigation. To this end, we first present a photo-realistic training and evaluation simulator Sim4CV which enables several applications across various fields of computer vision. Built on top of the Unreal Engine, the simulator features cars and unmanned aerial vehicles (UAVs) with a realistic physics simulation and diverse urban and suburban 3D environments. We demonstrate the versatility of the simulator with two case studies: autonomous UAV-based tracking of moving objects and autonomous driving using supervised learning.

May 5 - May 11, 2019

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  Modelling on the Service of Cooperative Communications

  Prof. Slim Chaoui, Jouf University, KSA

  May 5, 14:00 - 15:00

  B1 L3 R3119

  jouf university Cooperative communications Rayleigh-Gaussian model

  I will highlight the main contributions in the field of coded cooperative communications, where at first a study on the performance analysis of network-coded distributed coding schemes with different strategies for handling the relay-error propagation problem will be presented. Furthermore, a study proposing a relay selection scheme based on network-coded soft information relaying will be presented. The introducing of the Rayleigh-Gaussian model, which is applied to the forwarded relay soft symbols, have shown ability to give better performance in dealing with error propagation, and allowed us to give a tractable performance analysis of network-coded schemes under Rayleigh fading channels.

Apr 28 - May 4, 2019

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  The route to chaos in routing games: Population increase drives period-doubling instability and chaos with Price of Anarchy equal to one

  Georgios Piliouras, Assistant Professor, Singapore University of Technology and Design (SUTD)

  Apr 29, 11:00 - 12:00

  B1 L3 R3119

  SUTD game-theoretic analysis robotics

  We study a simple learning dynamic model of routing (congestion) games to explore the effects of increasing the total demand on system performance. We focus on the most benign setting, non-atomic routing games with two parallel edges of linear cost, where all agents evolve using Multiplicative Weights Updates with a fixed learning rate.
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  InGaN-based light-emitting devices

  Daisuke Iida, Senior Research Scientist, Electrical and Computer Engineering

  Apr 28, 12:00 - 13:00

  B9 L2 H1

  MOVPE optoelectronics plasmonics photocatalysis solar energy

  III-Nitride-based light-emitting diodes (LEDs) are already commercialized for instance blue and green LEDs. It is very contributed as energy saving light source all over the world. This material is a very attractive material, capable of the emitting range is not only blue light but also UV and visible light. Moreover, application as a power device is also possible, it is one of the materials considered to lead the energy saving society in the future. Visible light LED has a wide range of applications. Visible light LED has a wide range of applications. we expect that there is some application, for instance, μ-LED display, optical communication, plant cultivation, medical treatment, and so on. In the seminar, I will talk about III-Nitride-based visible light emitting devices and introduce recent research with outstanding metalorganic chemical vapor deposition (MOCVD) growth technique.
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  Model Predictive Control Systems for Industrial Applications

  Fahad Albalawi , Research Scientist, Electrical and Computer Engineering

  Apr 28, 09:30 - 10:30

  B3 L5 R5209

  Controller design Model Predictive Control Signal processing

  Model Predictive Control (MPC) is an d advanced control strategy widely used in the process industries and beyond. Therefore, industry is interested in the developments of MPC formulations that can enhance safety, reliability, and economic profitability of chemical processes. Motivated by these considerations, the first part of this talk focuses on the development of methods for integrating process operational safety and process economics within model predictive control system designs.

Apr 21 - Apr 27, 2019

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  Advanced MTJ Sensory Devices for Industrial and Healthcare Applications

  Yousof A. Mashraei, Ph.D., Electrical and Computer Engineering

  Apr 25, 15:00 - 16:00

  B3 L5 R5209

  magnetic sensors IoT consumer electronics

  Magnetic sensors are deployed in many applications such as automotive, consumer electronics, navigation and data storage devices. Their market’s growth is driven by demands of higher performance and more integration; primarily to assist in the advancement of Internet of Things (IoT) and smart systems.
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  GaN-based power devices and power module

  Dr. Liu Xinke, Assistant Professor, Shenzhen University

  Apr 25, 13:00 - 14:00

  B2 L5 R5220

  Shenzhen University power devices power module

  Gallium nitride (GaN)-based power device, e.g. Schottky barrier diodes (SBDs) and high electron mobility transistors (HEMTs), have attracted considerable research interest and well recognized as the next generation high power and high temperature devices, owing to their ultralow conduction loss and fast switching under high voltage and high frequency operations.