Recently, InGaN-based blue, green, and red (RGB) micro-LEDs have garnered significant attention and interest due to their exceptional features such as high contrast, intense brightness, excellent energy efficiency, and long device lifetimes, positioning them as strong contenders as the next-generation display technology.

Power system resilience is defined as the ability of power grids to anticipate, withstand, adapt and recover from high-impact, low-probability (HILP) events. There are long-term and short-term measures that system operators can apply to enhance resilience. Long-term measures include infrastructure hardening and resilient planning, while short-term operational measures are applied in the pre-event, during-event and post-event phases. Microgrids (MGs) can effectively enhance resilience for both transmission and distribution systems due to their ability to operate in a controlled, coordinated way when connected to the primary power grid and in islanded mode. In this presentation, MG-based operational measures for resilience enhancement will be presented, including MG-based resilient operational planning, the systematic formation of MGs after natural disasters hit the system and the role of MGs in power system restoration.

The rapid growth in mobile users and high-bandwidth applications is creating unprecedented challenges and opportunities in telecommunications. As we address the need for higher data rates, the mm-Wave 5G bands have been expanded to accommodate this demand.

In this short course, we will introduce some elements in deriving the hp a posteriori error estimate for a high-order unfitted finite element method for elliptic interface problems. The key ingredient is an hp domain inverse estimate, which allows us to prove a sharp lower bound of the hp a posteriori error estimator.

Ultrawide bandgap (UWBG) semiconductors including AlN, Ga2O3, c-BN, diamond have attracted enormous interests. They offer markedly larger figures of merits for power and RF applications than other known semiconductors.

Deep neural networks (DNNs) are revolutionizing computing, necessitating an integrated approach across the computing stack to optimize efficiency. In this talk, I will explore the frontier of DNN optimization, spanning algorithms, software, and hardware. We'll start with hardware-aware neural architecture search, demonstrating how tailoring DNN architectures to specific hardware can drastically enhance performance.

In this talk, I will present an innovative framework we developed to address these limitations and accurately predict pedestrian crossing intentions. At the core of the framework, we implement an image enhancement pipeline to enable the detection and rectification of various defects that may arise during unfavorable weather conditions. Following this, we employ a transformer-based network with a self-attention mechanism to predict the crossing intentions of pedestrians. This pipeline enhances the model's robustness and accuracy in classification tasks. We assessed our framework using the famous JAAD dataset. Performance metrics indicate that our model achieves state-of-the-art results while ensuring significantly low inference times.

In my lecture, I will share personal insights on transitioning from academia to management consulting and creating startups. I will discuss how to assess if a career in management consulting suits your goals and skills, and provide practical advice on interviewing successfully with consulting firms.

This talk presents a method for obtaining good accuracy of the measured rotational speed and discusses the control algorithms and modulation technique of the high-speed BLDC motor.

Light can be controlled through different degrees of freedom. An optical field is described through frequency, amplitude, phase, polarization, and wave-front structure. Many applications have been explored using these degrees of freedom, and some have great importance in our daily life.

In the first part of this thesis, we have discussed the Cram ́er-Rao lower bound (CRLB) to evaluate the performance of beam tracking for a joint beam tracking and symbol detection scheme in deep-space optical communications.

The Internet and Communication Technology (ICT) have undeniably revolutionized various aspects of human life. As the standardization of the fifth generation (5G) of wireless communication systems (WCSs) has been completed, 6G is expected to be the next focus in wireless communication and networking and aims to provide new superior communication services to meet the future hyper-connectivity demands in the 2030s. With this background, this Summit aims to go over the recently proposed solutions not only to connect the unconnected/under-connected but also to super-connect the connected.

InGaN-based monolithic RGB LED arrays would be the key to producing micro-LED displays. The micro-LED displays will reduce the frequency of battery charging for mobiles and make head-mount displays thinner and lighter weight. It will become a game changer.

Due to a variety of potential barriers to sample acquisition, many of the datasets encountered in important classification applications, ranging from tumor identification to facial recognition, are characterized by small samples of high-dimensional data. In such situations, linear classifiers are popular as they have less risk of overfitting while being faster and more interpretable than non-linear classifiers. They are also easier to understand and implement for the inexperienced practitioner.

One of the fundamental problems in population genetics and molecular evolution is to understand the drivers of genetic change in a population: which mutations affect the ability of an organism to survive, reproduce, and pass its genes to the next generation, while which mutations are mere "passengers" that do not affect this ability? In principle, the evolutionary history of a population contains information of the effects of mutations (deleterious, beneficial or neutral) occurring in the population.

Quantum theory and relativity have shown the solid path for solid-state computation in the early 20th century. Since then, many theoretical breakthroughs accompanied by experimental discoveries have ultimately led us to this modern-day electronic society.

The great Russian Mathematician Vladimir Arnold once said, “Mathematics is the part of physics where experiments are cheap”. In this talk, I will present two modern applications in aeronautical engineering where simple, but rigorous, mathematical control theory led to game-changing results exploiting nonlinearities and time-variation rather than obviating them.

This talk addresses these questions through two main projects: 1) Smart and multifunctional memory devices (MEMSOR) that can sense and compute, and 2) Wearable Octopus-skin-inspired 3D-printed biopatches for electrophysiological signal measurement.

This seminar will articulate the growth, and fabrication methodologies employed, discuss the device characterization under high-temperature conditions, and extrapolate on the far-reaching implications of these advancements for the realm of electronics designed to operate under extreme environmental conditions.

Simulation tools capable of transient electromagnetic analysis are essential for designing and optimizing electromagnetic, photonic, and optoelectronic devices. In recent years, time-domain differential equation based solvers have found widespread use due to their advantages over integral equation counterparts in analyzing transient electromagnetic field/wave interactions and multiphysics problems. This dissertation develops a group of time-domain differential equation solvers for analyzing transient electromagnetic scattering from penetrable objects and multiphysics phenomena in optoelectronic devices. In addition to providing detailed formulations of these solvers, this dissertation presents numerical examples which demonstrate their accuracy, efficiency, and applicability to real-life problems.

III-Nitride materials have continuously attracted the attention of semiconductor researchers for the last decades. III-Nitrides are considered a key material for a wide range of applications, such as power electronics and color displays, and have proven to be suitable as an efficient light source. This work provides a multi-directional approach for realizing efficient InGaN Light-Emitting Diodes (LEDs).

We will explore a novel process flow in the usage of laser scanning for existing buildings to support sustainability-led design by a new scan-to-BIM process, materials identification through hyperspectral imaging, environmental schemes, and materials embodied energy whole lifecycle assessments.

During this talk, we shall deep dive into the neutral atoms quantum machine of PASQAL to learn what makes such a machine tick. Following along the full stack approach of Pasqal, we will focus on how such a computer can be used to address hard combinatorial problems, machine learning-related tasks, as well as quantum simulation-based problems present in all walks of life.

During the last decade, the demand for wireless connection over the world has tremendously increased, including the areas where unconnected. Raising with topics like "Breaking down the data divide," "Connect to unconnected," etc. In the sixth-generation wireless network, the underwater world attracts a lot of attention. Besides that, the huge unexplored resource is another driving force for underwater exploration. Unlike the well-developed Internet of Things (IoT) on the terrestrial, there is almost no underwater wireless communication network, not to mention the underwater IoT.

Keeping in mind the current proliferation of smartphones as a popular hand-held gadget (with adequate sensing and computational capabilities), we propose to use smartphones as a health diagnostic tool for do-it-yourself (DIY) monitoring of one’s own health.