PhD Dissertation Defense

Deep-Ultraviolet Optoelectronic Devices Enabled by the Hybrid Integration of Next-Generation Semiconductors and Emerging Device Platforms

Monday, November 11, 2019, 18:00
- 20:00
Building 3, Level 5, Room 5209
Contact Person
Nasir Alfaraj
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.
Seminar

Wafer-Scale Fabrication of 2D Materials based Memristive Crossbar Arrays with Record Electrical Performance

Prof. Mario Lanza, Nanoelectronics, Soochow University
Monday, November 11, 2019, 15:45
- 17:00
Building 2, Level 5, Room 5209
Contact Person
Gianluca Setti
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 <0.09 mV/decade, and unprecedented low energy consumption down to 4.4 zJ/transition. Furthermore, the miniaturization of metal/h-BN/metal memristors has been demonstrated by using nanodot (Ø < 50 nm) electrodes. These findings may accelerate the use of 2D materials for building wafer-scale and high-density electronic memories and artificial neural networks.
Graduate Seminar

Langevin Monte Carlo as an optimization algorithm

Monday, November 11, 2019, 12:00
- 13:00
Building 9, Level 2, Hall 1, Room 2322
Contact Person
Peter Richtarik
Adil Salim is mainly interested in stochastic approximation, optimization, and machine learning. He is currently a Postdoctoral Research Fellow working with Professor Peter Richtarik at the Visual Computing Center (VCC) at King Abdullah University of Science and Technology (KAUST).
Graduate Seminar

EE 398 Graduate Seminar

Sunday, November 10, 2019, 12:00
- 13:00
Building 9, Level 2, Hall 1, Room 2322
Contact Person
Tareq Al-Naffouri
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.
PhD Dissertation Defense

Additively Manufactured Conformal Microwave Sensors for Applications in Oil Industry

Thursday, November 07, 2019, 16:30
- 19:00
Building 3, Level 5, Room 5220
Contact Person
Muhammad Akram Karimi
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.
Graduate Seminar

On mean-field game price models

Thursday, November 07, 2019, 12:00
- 13:00
Building 9, Level 2, Hall 1, Room 2322
Contact Person
Diogo Gomes

Abstract

In this talk, we discuss a mean-fie

Workshop

Reproducibility in Computer Science - Part 3

Roy Maxion, Research Professor, Computer Science Department, Carnegie Mellon University
Wednesday, November 06, 2019, 16:00
- 17:00
Building 9, Level 3, Room 3223
Contact Person
Jumana AlAshi

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.

Workshop

Reproducibility in Computer Science - Part 2

Roy Maxion, Research Professor, Computer Science Department, Carnegie Mellon University
Tuesday, November 05, 2019, 16:00
- 17:00
Building 9, Level 3, Room 3223
Contact Person
Jumana AlAshi

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.

PhD Dissertation Defense

Interactive High-Quality Visualization of Large-Scale Particle Data

Tuesday, November 05, 2019, 14:00
- 15:00
Building 2, Level 5, Room 5209
Contact Person
Mohamed Ibrahim
Large-scale particle data sets, such as those computed in molecular dynamics (MD) simulations, are crucial to investigating important processes in physics and thermodynamics. The simulated atoms are usually visualized as hard spheres with Phong shading, where individual particles and their local density can be perceived well in close-up views. However, for large-scale simulations with 10 million particles or more, the visualization of large fields-of-view usually suffers from strong aliasing artifacts, because the mismatch between data size and output resolution leads to severe under-sampling of the geometry.
Seminar

Mixed graphical-basis models for large nonstationary and multivariate spatial data problems

Dr. William Kleiber, Associate Professor of Applied Mathematics, University of Colorado, USA
Tuesday, November 05, 2019, 14:00
- 15:00
Building 1, Level 4, Room 4102
Contact Person
Elmootazbellah Elnozahy
In this talk, we explore a graphical model representation for the stochastic coefficients relying on the specification of the sparse precision matrix. Sparsity is encouraged in an L1-penalized likelihood framework. Estimation exploits a majorization-minimization approach. The result is a flexible nonstationary spatial model that is adaptable to very large datasets.
Workshop

Prototyping Multiscale Cellular Visualization & Modeling Techniques for Hypothesis Generation, Communication & Learning

Graham Johnson, Allen Institute for Cell Science, USA
Tuesday, November 05, 2019, 09:00
- 10:00
B9, Lecture Hall 2, Room 2325
Contact Person
Mashail Alwadi

Abstract

The visual analysis, assembly, and

Workshop

Reproducibility in Computer Science - Part 1

Roy Maxion, Research Professor, Computer Science Department, Carnegie Mellon University
Monday, November 04, 2019, 16:00
- 17:00
Building 9, Level 3, Room 3223
Contact Person
Jumana AlAshi

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.

Graduate Seminar

Accelerating biomedical discovery with an Internet of FAIR data and services

Dr. Michel Dumontier, Distinguished Professor of Data Science at Maastricht University, The Netherlands
Monday, November 04, 2019, 12:00
- 13:00
Building 9, Level 2, Hall 1, Room 2322
Contact Person
Robert Hoehndorf
In this talk, I will discuss our work to create computational standards, platforms, and methods to wrangle knowledge into simple, but effective representations based on semantic web technologies that are maximally FAIR - Findable, Accessible, Interoperable, and Reuseable - and to further use these for biomedical knowledge discovery. But only with additional crucial developments will this emerging Internet of FAIR data and services enable automated scientific discovery on a global scale.
PhD Dissertation Defense

Machine Learning Models for Context Aware Recommendation Systems

Monday, November 04, 2019, 10:00
- 11:00
Building 3, Level 5 , Room 5209
Contact Person
Basmah Altaf
The goal of this thesis is to pave the way towards the next generation of recommendation systems tackling such real-world challenges to improve the user experience while giving good recommendations.
Graduate Seminar

Efficient and Accurate Numerical Methods for Transient Electromagnetic Analysis - 2019

Sunday, November 03, 2019, 12:00
- 13:00
Building 9, Level 2, Hall 1, Room 2322
Contact Person
Hakan Bagci
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. 
Graduate Seminar

Energy-conserving and energy-stable discretizations of differential equations

Thursday, October 31, 2019, 12:00
- 13:00
Building 9, Level 2, Hall 1, Room 2322
Contact Person
David Ketcheson

Abstract

Many physical models are characteri

Seminar

Selected applications of splines of arbitrary manifold topology

Pieter Barendrecht, PhD Student, Computer Science, University of Groningen, The Netherlands
Thursday, October 24, 2019, 14:00
- 15:00
Building 1, Level 4, Room 4214

Abstract

There are many intriguing aspects a

Seminar

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
Tuesday, October 22, 2019, 12:00
- 13:00
B9 L2 Hall 2

Abstract

The 5th Generation (5G) wireless co

PhD Dissertation Defense

Magnetic Polymer Composite Transducers for Integrated Systems

Monday, October 21, 2019, 14:30
- 15:30
B3 L5 Room 5220
Contact Person
Mohammed Asadullah Khan
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.
Graduate Seminar

Finding the linchpins of the dark web: Understanding and detecting malicious infrastructure

Dr. Sumayah Alrwais, Assistant Professor, King Saud University, Riyadh, KSA
Monday, October 21, 2019, 12:00
- 13:00
Building 9, Level 2, Hall 1, Room 2322
Contact Person
Marco Canini
In this talk, Sumayah will survey a number of malicious hosting infrastructures for different services and approaches to detecting them. Among them are works on an emerging trend of Bulletproof hosting services reselling infrastructure from lower-end service providers, use of residential proxy as a service to avoid server-side blocking and DNS based hosting infrastructure.
Graduate Seminar

Hybrid integration of materials for ultraviolet detection

Sunday, October 20, 2019, 12:00
- 13:00
Building 9, Level 2, Hall 1, Room 2322
Contact Person
Tien Khee Ng
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.