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.

Highly coherent light, although beneficial in specific applications, suffers from the formation of speckles, resulting in poor imaging, lighting, and projection/display quality. Moreover, the long coherence length limits the resolution in interference based sensing. The aim of this dissertation is to design low-coherence surface-emitting lasers to push simultaneous illumination and optical wireless communication (OWC) toward reliable implementation with higher speeds.

Whether the future of transportation is going to be electric or not is no longer a question. Electric vehicles (EVs) offer several benefits toward global sustainability. However, without a variety of charging infrastructures that cover diverse forthcoming charging needs, the speed of vehicle electrification may be slow and limited. In the coming years, we project that charging stations will still likely meet most personal demands. However, novel charging alternatives such as dynamic charging systems, i.e., electrified roads that wirelessly charge EVs on the go, will fit into various public and commercial scenarios. In this thesis, we present a driver-centric approach to planning these infrastructures.

We discuss the principles of WPC and we highlight its main network architectures as well as the fundamental trade-off between information and energy transfer. By following a bottom-up cross-layer approach, several examples, that deal with the fundamentals of WPC as well as its integration in modern communication systems, are presented. Specifically, we deal with circuit models for WPT, information-theoretic limits, signal processing aspects and waveform design, and system-level analysis by using stochastic geometry tools. Future research directions and challenges are also pointed out.

I will focus my discussion on optoelectronic devices and system challenges facing long-distance, multiple-Gbps underwater wireless optical communication. The future perspective of underwater photonics will also be discussed.

Tilt-series cryo-electron tomography (cryo-ET) is an established imaging tech- nique used in several fields like biology and material science. Despite its success, cryo-ET remains an arduous task. The missing-wedge acquisition, the motion, and the high level noise are the main challenges existing in this field. In this dissertation, we tackle these challenges through the exploration of three distinct approaches: plug and play approach, adaptive differentiable density grids and adaptive tensorial density fields representation.

Semiconductor Photonics is an immersive master class that explores the cutting-edge field of advanced optoelectronics and its diverse applications. This class brings together experts and enthusiasts to delve into the forefront of research and innovation in semiconductor photonics. Key topics include Semiconductor Laser-Based Lighting and Visible Light Communications, Artificial Intelligent Optoelectronics Hardware for Neuromorphic Computing, Optoelectronic Micro-Devices for Novel AR and VR Displays, and Integrated Silicon Photonics. By covering these varied areas, the class offers a comprehensive understanding of semiconductor photonics and its implications in information technology, healthcare, computing, and beyond.