Electronic Devices and Semiconductor Manufacturing Commons^™

Dc/Dc Converter For A Solar Module, Stella Uribe, Richie Zaragoza, Olivia Grace Tran, Phillip Tyler Rich

Electrical Engineering

This project focuses on the design and validation of a general-purpose DC/DC power converter intended for use with photovoltaic (PV) solar modules operating under variable environmental and loading conditions. Solar panels exhibit significant variation in output voltage, current, and available power due to changes in irradiance, temperature, and operating point, making direct connection to downstream loads impractical. The proposed system addresses this challenge by providing a single, user-adjustable regulated DC output capable of both stepping up and stepping down the solar module voltage. The converter is designed to interface with solar modules rated between 50 W and 400 W, with …

Vlsi Spike Encoder For Spiking Neural Networks With 4-Bit Sar Adc, Jack Marshall, Wyatt Tack, Cameron Young, Ryken Thompson

Electrical Engineering

A spike encoder forms the interface between sampled data, such as image data or a sensor signal, and a spiking neural network by converting numerical input samples into discrete spike events. Unlike conventional artificial neural networks, spiking neural networks use spare, even-driven computation instead of continuous-valued activations. This makes them attractive for low-power embedded systems, biomedical electronics, and other edge applications where energy consumption, physical area, and thermal limits are important design constraints.

This project develops a modular spike encoder architecture for spiking neural networks with selectable support for temporal, rate, multi-spike, and delta encoding. Prior work has shown that …

Sustainabake, Kevin Kunta Swanson Ii

Electrical Engineering

This senior project outlines the development of an oven that utilizes renewable energy to operate safely and effectively. It aims to test building an oven using mostly basic hardware students acquired during their time at Cal Poly and provide a starting point for those interested in creating a solar-powered oven. As our society continues to innovate and increasingly relies on electricity, it is important to place more emphasis on how we can make our lives sustainable to take care of our environment without introducing excessive pollutants. Food preparation is a daily activity that typically involves significant energy consumption, making this …

A Tailored Analog-To-Digital Converter Architecture For Optimal Performance In Troponin Cardiac Protein Detection, Karem Abdelgawad, Sameh O. Abdellatif

Electrical Engineering

In recent years, the detection of troponin cardiac proteins has emerged as a crucial component in the diagnosis and management of acute coronary syndromes. This paper presents a tailored analog-to digital converter(ADC) architecture specifically designed to enhance the performance of diagnostic systems for troponin detection. Utilizing a 180 nm CMOS process technology, the developed 8-bit Successive Approximation Register(SAR) ADC integrates key components, including a preamplifier, comparator, and a digital-to-analog converter(DAC), to optimize signal processing and ensure accurate data conversion from analog to digital formats. The ADC architecture is evaluated for its ability to achieve a substantial sampling rate of 10 …

Enhanced Energy Harvesting From Nf-Pvdf Piezoelectric Material For Wearable Electronics: I– V Characterization And Charge-Discharge Performance, Ahmed Emara, Afaf Farag, Gehad Ali, Mohamed Mamdouh, Sameh O. Abdellatif, Khaled Nassar, Tamer Hamoud

Electrical Engineering

This study explores the utilization of fabricated piezoelectric polyvinylidene fluoride nanofiber (NF-PVDF) materials in wearable electronic sensing applications by investigating their current-voltage ( I − V ) characteristics under controlled ultra-low-frequency excitation forces. The results demonstrate a significant power harvesting capability, achieving an output power of 0.12 µW/mm2 at an operating point of 5.04 V and 7.7 µA. Additionally, the piezoelectric harvester was integrated into a charging-discharge circuit alongside a rectifier capacitor and a typical IoT wearable sensor, leveraging the advantages of a flexible substrate. Experimental measurements of the charging and discharging curves confirm the effective energy management of the …

Unveiling Degradation Patterns In Dye-Sensitized Solar Cells: A Machine Learning Perspective, Ahmed Alali, Mahmoud Ashraf, Ahmad Muhammad, Sameh O. Abdellatif

Electrical Engineering

This study examines the time-dependent degradation of dye-sensitized solar cells (DSSCs) by systematically investigating several critical parameters, including TiO2 thickness, porosity, dye concentration, and iodine-based electrolyte concentration. We developed a novel figure of merit (FOM) to quantify the degradation rates, utilizing a finite element model (FEM) in COMSOL to simulate performance over time. 400 DSSC samples were fabricated, resulting in a comprehensive dataset comprising over 228,000 data points derived from experimental results and simulations. The findings reveal that PCE declines significantly over time, with an average initial efficiency of 4.0% for the DSSCs, dropping to approximately 0.5% after 360 h. …

Piezoelectric Actuator Driver System, Daniel Hoefer

Electrical Engineering

This work presents the design, fabrication, and testing of a high-voltage piezoelectric actuator driver system purposed for integration into defense and aerospace precision motion control applications, particularly those in laser optics. The core challenge addressed was the mismatch between the standardized 28V DC power bus used in military systems and the significantly higher voltage requirements of piezoelectric actuators. Existing commercial drivers were evaluated and found unsuitable for field deployment due to inadequate ruggedness, excessive complexity, or power limitations. Consequently, a modular system architecture was designed featuring four independent driver channels, each using a high-voltage, high-current linear amplifier topology to scale …

Experimentally Driven Numerical Model Of Carbon/Polyaniline-Based Glucose Monitoring Sensors: An Evaluation Using A New Figure Of Merit, Kyrillos Selim, Ziad Khalifa, Amira Ali, Sameh O. Abdellatif

Electrical Engineering

This study presents an experimentally driven numerical model for evaluating carbon/polyaniline (PANI)-based glucose monitoring sensors (GMSs), focusing on innovative configurations using graphene-PANI and carbon nanotube (CNT)-PANI composites. We performed a thorough analysis of the morphological, electrophysical, and electrical properties of these materials, ultimately leading to the extraction of key electrical parameters for integration into a finite element model (FEM). This model simulates the entire sensor, enabling the estimation of critical performance metrics such as sensitivity, limit of detection (LOD), linearity, and power consumption. Our findings demonstrate that the CNT-PANI configuration significantly outperforms the laser-induced graphene (LIG)-PANI electrode, achieving a figure …

Machine Learning-Driven Optimization Of Piezoelectric Energy Harvesters For Low-Frequency Applications, Kyrillos Selim, Login Moustafa, Sameh O. Abdellatif

Electrical Engineering

To enhance energy harvesting efficiency, this paper explores the optimization of a cantilever-based piezoelectric energy harvester by integrating advanced machine learning (ML) methodologies. Leveraging a meticulously trained model on data sourced from a sophisticated two-dimension (2D) COMSOL Multiphysics numerical simulation, the study focuses on the critical input parameters, particularly the dimensions of the piezoelectric thin film. Through extensive simulations, the analysis delves into power density extraction and resonance frequency for various configurations. The culmination of rigorous simulations and analysis has led to the identification of an optimal design configuration for the cantilever piezoelectric energy harvester, characterized by a length of …

The Role Of Counter Electrode In Perovskite Solar Cell On Silicon Substrate To Enhance Power Conversion Efficiency For Cmos-Compatible Applications, Sameh O. Abdellatif, Eman Sawires

Electrical Engineering

This study investigates the impact of various counter-electrode materials on the overall power conversion efficiency (PCE) of perovskite solar cells (PSCs) fabricated on silicon substrates. We examined four distinct configurations using fluorine-doped tin oxide (FTO) as bare cell, copper (Cu), aluminum (Al), and highly p-doped silicon wafers as counter electrodes. The results indicate that the PSCs with Cu achieved the highest short-circuit current density (JSC) of 17.11 mA/cm2, while the p-doped silicon and aluminum showed lower JSC values of 16.19 mA/cm2 and 16.51 mA/cm2, respectively. Open-circuit voltage (VOC) values remained competitive across all cells, with FTO achieving a VOC of …

Introducing A Novel Figure Of Merit For Evaluating Stability Of Perovskite Solar Cells: Utilizing Long Short-Term Memory Neural Networks, Zahraa Ismail, Ahmed Alali, Mahmoud Ashraf, Ahmad Muhammad, Sameh O. Abdellatif

Electrical Engineering

This study introduces a novel figure of merit for evaluating the stability of perovskite solar cells (PSCs) by employing advanced Long Short-Term Memory (LSTM) neural networks to investigate degradation mechanisms. By harnessing the power of artificial intelligence and data analytics, we analyzed extensive datasets encompassing PSC parameters, experimental results, and environmental conditions, revealing critical insights into the degradation patterns affecting cell performance over time. Our findings indicate that the LSTM model effectively captures and predicts the complex relationships between key design parameters—efficiency, fill factor, and open-circuit voltage—and degradation-induced changes in PSCs. Specifically, we identified three degradation coefficients associated with the …

Gratings For Enhanced Sensitivity: Advancing D-Shaped Optical Fiber Surface Plasmon Resonance Sensors With Ag-Fe2o3 Structures, Yomna Seliem, Sameh O. Abdellatif

Electrical Engineering

This research delves into enhancing biosensing sensitivity by optimizing D-shaped optical fiber surface plasmon resonance (SPR) sensors employing - structures. By investigating the influence of different grating structures—rectangular, triangular, and elliptical—on sensor performance, a comprehensive analysis was conducted to ascertain the impact of these structural variations on sensitivity and detection precision. The study revealed that while the rectangular structure exhibited a sensitivity of 6.4 µm/RIU, the triangular structure outperformed with an impressive sensitivity of 7.2 µm/RIU. Moreover, the detection accuracy, quantified by the detection angle (DA), reached µ for the triangular grating, surpassing the rectangular grating’s detection angle of µ. …

Integration Of Artificial Intelligence With A Customized Four-Probe Station For I-V Characteristic Classification And Prediction, Sameh O. Abdellatif, Ahmed Ghanem, Ahmmat Abdel Whahid, Amr Hatem, Belal Ahmed

Electrical Engineering

The incorporation of Artificial Intelligence (AI) is pivotal in automating intricate technical tasks, significantly enhancing accuracy and efficiency while alleviating the burdens of repetitive monitoring traditionally borne by technicians. This study focuses on developing a customized four-probe station integrated with sophisticated AI models aimed at classifying current–voltage () characteristics and extracting essential parameters. Our methodology encompasses the fabrication of precision-engineered gold-plated probes, meticulously assembled with a three-dimensional (3D) moving head to ensure optimal contact and measurement fidelity across a variety of electronic and optoelectronic devices. Data acquisition is executed via a source meter unit, followed by rigorous post-processing utilizing advanced …

Addressing Output Ripples In Low-Power Cmos-Based Multistage Dc-Dc Boost Converters For Self-Powered Electrochemical Sensors Applications, Sameh O. Abdellatif, Ahmat Abdelwahid

Electrical Engineering

No abstract provided.

Experimentally Validated Dynamic Equivalent Circuit Model Of Perovskite Solar Cells: Utilizing Machine Learning Algorithms For Parameter Extraction Using I-V And C-V Characteristics, Zahraa Ismail, Eman Sawires, Fathy Amer, Sameh O. Abdellatif

Electrical Engineering

No abstract provided.

Numerical Modelling Of Carrier Transport In Organic Field Effect Transistors, Sameh O. Abdellatif, Salma Ahmed

Electrical Engineering

No abstract provided.

Fine-Tuning Cesium Lead Chloride Perovskite Field-Effect Transistors For Sensing Applications: Bridging Numerical Modeling And Experimental Validation, Gehad Ali, Reem Mahmoud, Mohamed Wafeek, Motaz Yousef, Sameh O. Abdellatif

Electrical Engineering

No abstract provided.

Advanced Transistor-Based Dynamic Equivalent Circuit Modeling Of Mesostructured-Based Solar Cells, Eman Farouk Sawires, Sameh O. Abdellatif

Electrical Engineering

This study introduces a pioneering transistor-based equivalent circuit model explicitly tailored for mesostructured-based solar cells, primarily focusing on dye-sensitized solar cells (DSSCs) and perovskite solar cells (PSCs). By incorporating the experimental data spanning various inorganic, organic, and hybrid solar cell technologies across different optical injection levels, the model aims to provide a comprehensive understanding of the electrical behavior of these advanced photovoltaic devices. In addition to the circuit schematic, a Verilog-A script was created to elucidate the behavior of the cells, facilitating the utilization of such a block by the research community in developing interfacing circuits and implementing dc–dc converters …

Perovskites Informatics: Studying The Impact Of Thicknesses, Doping, And Defects On The Perovskite Solar Cell Efficiency Using A Machine Learning Algorithm, Zahraa Ismail, Eman Sawires, Fathy Amer, Sameh O. Abdellatif

Electrical Engineering

No abstract provided.

Experimentally Verified Effective Doping Model For Lactate And Troponin Ofet Biosensors Using Machine Learning Algorithm, Sameh O. Abdellatif, Hana Masalam, Salma Ahmed

Electrical Engineering

No abstract provided.

Advancing Embedded Iot Architectures For Space And Terrestrial Applications, Wuwei Douglas Liu, Nicolas Jesus Alvarez, Eric Huang

Electrical Engineering

Radio transceivers play a pivotal role in establishing communication networks, particularly in regions where existing infrastructures are unstable or compromised due to natural disasters or conflicts. By utilizing LoRa (Long Range) communication technology, OWL Integrations develops radio transceivers to establish mesh networks to communicate with one another during disasters. This project team continues development of a second generation OWL board, classified as Quacker Advanced Development (QuAD), with a focus on transitioning to a new microcontroller and integrating GNSS libraries and drivers. An ulterior objective involved R&D for a space application of the board.

Ofet Informatics: Observing The Impact Of Organic Transistor's Design Parameters On The Device Output Performance Using A Machine Learning Algorithm, Sameh O. Abdellatif, Hana Masalam, Salma Ahmed

Electrical Engineering

No abstract provided.

Exploring Various Integration Methods Of Carbon Quantum Dots In Cspbcl3 Perovskite Solar Cells For Enhanced Power Conversion Efficiency, Eman Sawires, Zahraa Ismail, Mona Samir, Ahmed Agour, Fathy Amer, Hassan Nageh, Sameh O. Abdellatif

Electrical Engineering

No abstract provided.

The Impact Of N-Doped Carbon Quantum Dots On Dye-Sensitized Solar Cells Operating Under Diffused- And Low-Light Intensity, Mona Samir, Ahmed Agour, Zahraa Ismail, Hassan Nageh, Sameh O. Abdellatif

Electrical Engineering

This study investigates the double role of N-doped carbon quantum dots (N-CQDs) in dye-sensitized solar cells (DSSCs) that operate under diffused- and low-light intensity conditions. We demonstrate that the incorporation of N-CQDs leads to a substantial improvement in the performance of DSSCs. Under standard one-sun illumination, the maximum power conversion efficiency (PCE) achieved with N-CQDs is 2% higher than that of the bare cell. Moreover, we introduce two new metrics, the diffused-light coefficient and the low-light intensity coefficient, to evaluate the performance of DSSCs under nonideal illumination conditions. The diffused-light coefficient is recorded at 1.55, which indicates a notable enhancement …

Exploring Forward Scattering Mechanisms In Tio2 With Carbon Quantum Dots: Insights Into Photovoltaic Applications, Mona Samir, Zahraa Ismail, Ahmed M. Agour, Hassan Nageh, Sameh O. Abdellatif

Electrical Engineering

No abstract provided.

Machine Learning Algorithms In Photovoltaics: Evaluating Accuracy And Computational Cost Across Datasets Of Different Generations, Sizes, And Complexities, Omar Elsaban, Muath Alkadi, Saif Qaid, Abdullah Ahmed, Sameh O. Abdellatif

Electrical Engineering

This paper evaluates the compatibility of five different machine learning (ML) algorithms for analyzing datasets extracted from solar cell devices. The selected ML algorithms span a range of complexity, from linear regression and polynomial regression models to random forest (RF), neural network, and a hybrid version of the latter two. The algorithms underwent testing with and without hyperparameter optimization to tune the model parameters. The study investigated the expected increased computational cost resulting from hyperparameter optimization, with improved ML accuracy. Additionally, five distinct datasets were utilized to measure the performance of the ML models across different dataset characteristics, including dataset …

Design Of An Angle Measurement Device Using Ultrasonic Pairs, Shadi Khanpour Doustkar

Electrical Engineering

In this paper, a new concept for ultrasonic indoor positioning built upon instantaneous frequency of ultrasonic signals is presented. Ultrasonic sensors are inexpensive and manageable sensors; they are currently not used to good advantage with their potential for the electronics industry. The current ultrasonic sensors in the market only present a distance value to the nearest object for the user and due to this kind of feedback, it’s not attainable to find the relative position of the object from the sensor in a detection area; examples vary from workpieces and robots to even people. By using an algorithm and multiple …

Spice Modeling Of Biosensing Field-Effect Transistor, Alex Castro

Electrical Engineering

This project created a user manual on how to generate an easily configurable and implementable Spice model for Field Effect Transistor (FET) devices created in the Cal Poly clean room. The document contained step by step procedures depicting the proper execution techniques and example results for different experiments required to gather the proper information for these models. This testing methodology was shown for finding the numerous different device parameters of a FET, including the I-V curves, threshold voltage, and subthreshold current values. The manual then described how to transfer this data into a new Spice model to allow for simulation …

Utilizing Machine Learning Algorithm In Predicting The Power Conversion Efficiency Limit Of A Monolithically Perovskites/Silicon Tandem Structure, Moustafa Ganoub, Omar Elsaban, Sameh O. Abdellatif Dr, Khaled Kirah, Hani Ghali

Electrical Engineering

Tandem structures have been introduced to the photovoltaics (PV) market to boost power conversion efficiency (PCE). Single-junction cells’ PCE, either in a homojunction or heterojunction format, are clipped to a theoretical limit associated with the absorbing material bandgap. Scaling up the single-junction cells to a multi-junction tandem structure penetrates such limits. One of the promising tandem structures is the perovskite over silicon topology. Si junction is utilized as a counter bare cell with perovskites layer above, under applying the bandgap engineering aspects. Herein, we adopt BaTiO3/CsPbCl3/MAPbBr3/CH3NH3PbI3/c-Si tandem structure to be investigated. In tandem PVs, various input parameters can be tuned …

Potassium And Sodium Sensing Isfet Device And Array, Liam Stephen Hayes

Electrical Engineering

The use of Ion-Sensitive Field Effect Transistors (ISFETs) as a means of testing a person’s potassium concentration in real-time has broad applications in the consumer space. An avid runner could use such a device to keep track of their hydration and salt levels. A hospital could use it for patients who require around-the-clock remote monitoring, and a variation of ISFETs are currently being used as continuous glucose monitors for diabetes patients. While ISFETs are not a new development in the field of microelectronics, their use as wearable devices has recently become relevant. The goal of this project is primarily to …