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Full-Text Articles in Engineering

Engineering Cell-Free Protein Synthesis Biosensors For Point Of Care Use, Tyler Jordan Free Aug 2024

Engineering Cell-Free Protein Synthesis Biosensors For Point Of Care Use, Tyler Jordan Free

Theses and Dissertations

Diagnostic tests can dramatically improve and save lives. Survival rates and patient outcomes related to cancer and other diseases can be improved when routine testing guides personalized treatment. Highly accurate laboratory tests exist for thousands of biomarkers, including those of interest in this dissertation, but cost and complexity limit access to life-saving lab tests in many cases throughout the world. To fill this need and increase accessibility of diagnostics, in this report we report our engineering advancements towards portable biosensors for colorimetric detection of glutamine, endocrine disrupting compounds (EDC), and pathogenic RNA which are key biomarkers in cancer treatment monitoring, …


Development Of A High-Throughput Screening Platform To Profile Gene Delivery And Transcriptional Control In Macrophages, Alexis Ivy Aug 2024

Development Of A High-Throughput Screening Platform To Profile Gene Delivery And Transcriptional Control In Macrophages, Alexis Ivy

Graduate Theses and Dissertations

Macrophages are an important cell type in the body responsible for orchestrating the inflammatory response and return to homeostasis. Macrophages are often implicated in a multitude of disease pathologies including delayed wound healing, excessive fibrosis, autoimmune disease, and immunosuppression within the tumor microenvironment. Although macrophages have been targeted for therapeutic applications, success in utilizing them has remained elusive due to their relative ease of phenotype switching between inflammatory and anti-inflammatory. The challenge that remains is developing clinically relevant delivery vehicles that can target macrophages without causing a phenotypic switch counter-productive to the desired response. This is especially important when targeting …


Investigating The Fatigue Life Of Asymmetric And Novel Helical Gear Drives, Rajesh S Jul 2024

Investigating The Fatigue Life Of Asymmetric And Novel Helical Gear Drives, Rajesh S

Theses and Dissertations

The present research work investigates the contact and bending fatigue life of asymmetric helical gear and novel helical gear based on the finite element analysis. In the first phase, the contact and bending fatigue life of the asymmetric helical gear drives is estimated based on the strain life approach.

Further, a parametric study is carried out to investigate the influence of important helical gear parameters such as module, pressure angle, helix angle, gear ratio, teeth number and face width on contact and bending fatigue life of asymmetric helical gear drives. It is noted that the asymmetric helical gear shows a …


Remote Vibration Based Monitoring Of Bridge Scour, Alan Kazemian Jun 2024

Remote Vibration Based Monitoring Of Bridge Scour, Alan Kazemian

Dissertations

The gradual erosion of the sediment around a bridge foundation is called Scour. This erosion is caused by water flow and increases during times of high-water flow such as flooding. The scour leaves the bridges structurally unsound over time and jeopardizes the safety of the structure. Approximately 60 percent of bridge failures in the United States are caused by scour. A variety of types of devices have been used to detect scour. Most of these devices only observe the scour and not the structural integrity of the bridge. The typical approach has relied on visual inspections of the bridges after …


Design And Implementation Of A Vision-Based Deep-Learning Protocol For Kinematic Feature Extraction With Application To Stroke Rehabilitation, Juan Diego Luna Inga Jun 2024

Design And Implementation Of A Vision-Based Deep-Learning Protocol For Kinematic Feature Extraction With Application To Stroke Rehabilitation, Juan Diego Luna Inga

Master's Theses

Stroke is a leading cause of long-term disability, affecting thousands of individuals annually and significantly impairing their mobility, independence, and quality of life. Traditional methods for assessing motor impairments are often costly and invasive, creating substantial barriers to effective rehabilitation. This thesis explores the use of DeepLabCut (DLC), a deep-learning-based pose estimation tool, to extract clinically meaningful kinematic features from video data of stroke survivors with upper-extremity (UE) impairments.

To conduct this investigation, a specialized protocol was developed to tailor DLC for analyzing movements characteristic of UE impairments in stroke survivors. This protocol was validated through comparative analysis using peak …


Quality Assurance And Quality Control For Reinforced Concrete Inspections, Calvin O. Walters Jr. May 2024

Quality Assurance And Quality Control For Reinforced Concrete Inspections, Calvin O. Walters Jr.

Publications and Research

Ensuring the safety and longevity of structures is paramount in concrete construction projects. Cases like the Big Dig ceiling collapse, which occurred on July 10, 2006, when a concrete ceiling panel measuring 20' x 40' and debris weighing 26 short tons (52,000 lb) fell within Boston's Fort Point Channel Tunnel, underscore this importance (Wald, M. L., 2007). Quality Assurance (QA) and Quality Control (QC) are crucial in mitigating such risks. QA ensures that materials and methods meet predetermined performance, design, and reliability standards specified in contracts and customer arrangements. On the other hand, QC is a strategic process businesses use …


Affordable Bioprint Head-Adapter For 3d Printers, Andrew Ceralde, Dominic Drake, Noah Engles, Mohammad Alwan, Nevada Perry May 2024

Affordable Bioprint Head-Adapter For 3d Printers, Andrew Ceralde, Dominic Drake, Noah Engles, Mohammad Alwan, Nevada Perry

Honors Capstones

Introduction: Addressing the need for affordable and accessible bioprinting technology, the Northern Illinois University bioprinting research and design project aims to democratize the field by developing an open source bioprint head. The initiative targets the prohibitive cost of commercial bioprinters by proposing an optimal design that can be integrated with widely available 3D printers, like the Creality Ender-3. This approach seeks to enable the widespread adoption of bioprinting technology, particularly for applications in tissue engineering and regenerative medicine.

Methods: Leveraging SolidWorks for design, the project employs a methodology that combines a precision extrusion system with thermal and UV crosslinking capabilities. …


Improving The Power Efficiency Of Woodward’S High-Power Inverter (Hpi) Using Algorithmic Part Selection., Jaron Holder, Ali Al Gazwi, John Childers, Jose Soublett May 2024

Improving The Power Efficiency Of Woodward’S High-Power Inverter (Hpi) Using Algorithmic Part Selection., Jaron Holder, Ali Al Gazwi, John Childers, Jose Soublett

Honors Capstones

Woodward Inc. is a secondary aerospace manufacturer based in the USA that specializes in aircraft power and control systems. This senior design project was concerned with a power systems platform currently in development by Woodward, the High-Power Inverter (HPI) system. In this report, the senior design group from Northern Illinois University (NIU) demonstrated the creation of an algorithmic part selection process to choose more power-efficient electrical components, the prototyping using MATLAB Simulink, and the practical testing that showed an increase of 7% in the power efficiency of the HPI system.


What Is Biological Engineering? – A Magazine, Morgan Christensen May 2024

What Is Biological Engineering? – A Magazine, Morgan Christensen

Undergraduate Honors Capstone Projects

Biological Engineering is one of the less commonly known fields of engineering and can be challenging to describe to someone outside the discipline. The most common question I've been asked during my undergraduate career is "What is biological engineering?". My answer has changed throughout my time at Utah State University as I've had more experiences within the discipline. This project focuses on answering this question in the format of a magazine to help bridge the gap between those in the discipline and a general audience. By using a magazine as the format, the content must be organized and written in …


Sports Science: An Entrepreneurial Venture, Nicole J. Jones May 2024

Sports Science: An Entrepreneurial Venture, Nicole J. Jones

Senior Honors Projects

In sports science, ensuring maximum athlete safety and optimizing data utilization are pivotal yet leave room for further work. My project, Unbeaten SafeWare, addresses these critical issues by focusing on two primary concerns: preventing heat-related and cardiac illnesses, which are significant causes of athlete fatalities, and enhancing the transparency and utility of sports data. This initiative involves developing a shirt integrated with sensors to monitor vital signs and an athlete management system to handle data input, storage, analysis, and accessibility for athletes.

The project has advanced through the efforts of a multidisciplinary team, which includes biomedical engineering undergraduates, two faculty …


Final Design Of Legion Hall Revitalization In Potter, Nebraska, Madison Brennfoerder May 2024

Final Design Of Legion Hall Revitalization In Potter, Nebraska, Madison Brennfoerder

Honors Program: Senior Projects (Public)

This project was conducted to renovate and revitalize the Legion Hall community center in the Village of Potter located in western Nebraska north of the Interstate. The work completed for this project can be separated into five disciplines: Hydrologic & Hydraulic Design, Geotechnical Analysis, Structural Analysis, Environmental Analysis, and Transportation Design. Legion Hall is a historical building within The Village of Potter which was built in 1917. The Village of Potter has recently acquired the rights to the hall and is seeking to revitalize the historical community center to increase tourism in the village.


Spectrophotometric Device For Early Malaria Detection, Adrian Wasylewski, Christopher Faber, Victor Lin Apr 2024

Spectrophotometric Device For Early Malaria Detection, Adrian Wasylewski, Christopher Faber, Victor Lin

Honors Thesis

Malaria remains a significant global health challenge, with millions of cases reported annually, particularly in resource-limited regions. Timely and accurate diagnosis is crucial for effective treatment and disease management. Unfortunately, there are still significant challenges in existing testing procedures, which are often expensive, inaccurate, or impractical for mass testing. While spectrophotometry has been proposed as a detection tool for other tropical diseases such as dengue fever, no prototype has been made for any disease, including malaria. This report addresses this gap by presenting a spectrophotometric-based malaria detection tool that achieves high sensitivity at a low cost. The inclusion of a …


Igniting Passion:​ A Detailed Journey Through Rocketry Course Activities, Krish M. Patel, Hannah Caycedo, Joshua Gage, Josi Maness, Kevin Park, Mufeng Shen Apr 2024

Igniting Passion:​ A Detailed Journey Through Rocketry Course Activities, Krish M. Patel, Hannah Caycedo, Joshua Gage, Josi Maness, Kevin Park, Mufeng Shen

SACAD: Scholarly Activities

This course is a semester-long adventure in rocketry, led by Dr. Paul Adams. It covers everything about building and flying rockets, starting from the basics to more advanced rocketry. Students learn how to build rockets and use equipment used I payload systems like and altimeter and a GPS. We also learned about the importance of safety involved with building and launching rockets.


First-Year Engineering Students And Genai: Experience, Attitudes, Trust, And Ethics., Elisabeth Thomas, Cenetria Crockett, Campbell Rightmyer Bego Apr 2024

First-Year Engineering Students And Genai: Experience, Attitudes, Trust, And Ethics., Elisabeth Thomas, Cenetria Crockett, Campbell Rightmyer Bego

Undergraduate Research Events

Generative AI (GenAI) has the potential to benefit student learning by offering personalized feedback, idea generation, research, and analysis support, writing aid, and administrative support (Chan and Hu, 2023; Zhang, 2023). However, if used inappropriately, the same tools can lead to false/biased content creation and reduced ethical awareness leading to possible academic dishonesty and privacy issues (Schwartz, 2016; Wu, 2023). At this early stage, ethical standards and professorial guidance are unavailable, so it is important to understand what students are thinking about the recent technologies (Shen et al., 2013). Spring 2023 survey results revealed that some students used ChatGPT, a …


Annual Report 2024, Brandy Mcknight, Estevan Garcia Apr 2024

Annual Report 2024, Brandy Mcknight, Estevan Garcia

College of Engineering and Science Annual Reports

I'm excited to share that the 2023-2024 academic year has been another success. While the year has had its share of challenges, our faculty, staff, and students have met every one with the indomitable Bulldog spirit that has defined our University and College for decades.

Faculty and staff continue to impact students through their steady guidance and commitment to the Tenets of Tech, and our students continue to grow - not just academically, but as the leaders of tomorrow. The problems they are solving here have a real and lasting impact on the world around us. You'll learn about some …


The Game Of Traffic Lights (Tgotl), Faith Chapman Apr 2024

The Game Of Traffic Lights (Tgotl), Faith Chapman

Posters - 2024

“Computer Science can be applied to nearly ANY field.” In college, and high school especially, the phrase is just that—early comp. sci (CS) students don’t have realworld examples of how/where else they can use CS knowledge outside of CS focused jobs. For high school students, this a missed opportunity to plan for a career outside the obvious. One such career is in traffic lights.

U.S. traffic can be better. Engineering has a subfield dedicated to improving traffic, and part of that entails studying ways to improve traffic lights’ efficacy. Someone with CS knowledge can program a traffic simulator for data …


Development Of 3d Printed Anatomically Equivalent Thermoplastic Polyurethane Conduits For Peripheral Nerve Regeneration, Allen Zennifer M Mar 2024

Development Of 3d Printed Anatomically Equivalent Thermoplastic Polyurethane Conduits For Peripheral Nerve Regeneration, Allen Zennifer M

Theses and Dissertations

Three-dimensional (3D) printing is an emerging tool for creating patient-specific tissue constructs analogous to the native tissue microarchitecture. In this study, anatomically equivalent 3D nerve conduits were developed using thermoplastic polyurethane (TPU) by combining reverse engineering and material extrusion (i.e., fused deposition modelling) technique.

Printing parameters were optimized to fabricate nerve-equivalent TPU constructs. The TPU constructs printed with different infill densities supported the adhesion, proliferation, and gene expression of neuronal cells. Subcutaneous implantation of the TPU constructs for three months in rats showed neovascularization with negligible local tissue inflammatory reactions and was classified as a non-irritant biomaterial as per ISO …


Design And Development Of Deep Eutectic Solvent Assisted Pressurized Liquid Extraction Of Nutraceuticals, Harish Babu B Feb 2024

Design And Development Of Deep Eutectic Solvent Assisted Pressurized Liquid Extraction Of Nutraceuticals, Harish Babu B

Theses and Dissertations

Over recent decades, the usage of nutraceuticals has been exponentially increasing as alternates to pharmaceutical drugs. However, extraction of these therapeutically significant compounds from their corresponding sources requires the use of volatile organic solvents like hexane, ethanol and chloroform which increases the global warming potential. This problem has been overcome in recent decades by the use of supercritical carbon dioxide (SCO2) as the extraction solvent. Since SCO2 is non-polar in nature, the extraction of polar compounds with better efficiency is questionable.

On the other hand, modernization in solvent engineering has created generations of green solvents like ionic liquids (ILs), deep …


High-Yield And Rapid Isolation Of Extracellular Vesicles By Flocculation Via Orbital Acoustic Trapping: Float, Joseph Rufo, Peiran Zhang, Zeyu Wang, Yuyang Gu, Kaichun Yang, Joseph Rich, Chuyi Chen, Ruoyu Zhong, Ke Jin, Je He, Jianping Xia, Ke Li, Jiarong Wu, Yingshi Ouyang, Yoel Sadovsky, Luke P. Lee, Tony Jun Huang Feb 2024

High-Yield And Rapid Isolation Of Extracellular Vesicles By Flocculation Via Orbital Acoustic Trapping: Float, Joseph Rufo, Peiran Zhang, Zeyu Wang, Yuyang Gu, Kaichun Yang, Joseph Rich, Chuyi Chen, Ruoyu Zhong, Ke Jin, Je He, Jianping Xia, Ke Li, Jiarong Wu, Yingshi Ouyang, Yoel Sadovsky, Luke P. Lee, Tony Jun Huang

Faculty Publications

Extracellular vesicles (EVs) have been identified as promising biomarkers for the noninvasive diagnosis of various diseases. However, challenges in separating EVs from soluble proteins have resulted in variable EV recovery rates and low purities. Here, we report a high-yield ( > 90%) and rapid ( <  10 min) EV isolation method called FLocculation via Orbital Acoustic Trapping (FLOAT). The FLOAT approach utilizes an acoustofluidic droplet centrifuge to rotate and controllably heat liquid droplets. By adding a thermoresponsive polymer flocculant, nanoparticles as small as 20 nm can be rapidly and selectively concentrated at the center of the droplet. We demonstrate the ability of FLOAT to separate urinary EVs from the highly abundant Tamm-Horsfall protein, addressing a significant obstacle in the development of EV-based liquid biopsies. Due to its high-yield nature, FLOAT reduces biofluid starting volume requirements by a factor of 100 (from 20 mL to 200 µL), demonstrating its promising potential in point-of-care diagnostics.


Aerodynamic Investigation Of Naca 0020 Airfoil With Extended And Serrated Trailing Edge At Various Turbulent Intensities, Livya E Jan 2024

Aerodynamic Investigation Of Naca 0020 Airfoil With Extended And Serrated Trailing Edge At Various Turbulent Intensities, Livya E

Theses and Dissertations

Lift (upward force) is a significant aerodynamic component that directly relates to the aerodynamic efficiency (lift-to-drag ratio) of the airfoil. Enhancement of airfoil lift is important for industries like wind turbines, aircraft, and turbo machinery. The present study investigates the NACA series airfoil by modifying the trailing edge in the form of extension and serration. The angle of attack was changed from 0° to 35° instep of 5°, and the airflow Reynolds number was fixed as 2.14 × 105. To figure out the flow behavior, surface pressure has been collected from the 50 pressure ports provided over the airfoil surface. …


Clpfudatabase: A Suite Of R Packages For Energy Conversion Chain Analysis, Matthew Kuperus Heun, Zeke Marshall, Emmanuel Aramendia Jan 2024

Clpfudatabase: A Suite Of R Packages For Energy Conversion Chain Analysis, Matthew Kuperus Heun, Zeke Marshall, Emmanuel Aramendia

University Faculty Publications and Creative Works

Energy flowing through societal energy conversion chains (ECCs) enables economic activity and facilitates human flourishing. To understand economic growth and human well-being, the field of societal energy analysis (Common, 1976) evaluates ECCs from the primary stage (resources extracted from the environment, such as coal, oil, natural gas, wind, and solar), to the final stage (energy purchased by consumers, such as refined petroleum and electricity), to the useful stage (energy desired by the end user, such as heat, motion, and light), and sometimes to energy services (such as thermal comfort, transport, and illumination). Societal exergy analysis (SEA) (Ertesvåg, 2001), an extension …


Assessing The Relationship Between Contralateral Limb Synergy And Rock Climbing Efficiency, Jeromy Miramontes Jan 2024

Assessing The Relationship Between Contralateral Limb Synergy And Rock Climbing Efficiency, Jeromy Miramontes

Theses, Dissertations and Capstones

Rock climbing is a total body sport testing the mental and physical capabilities of athletes. Efficiency of movement can improve the ability of climbers to perform at a higher capacity and reduce the risk of injury. Data on the relationship between the continuous relative phase (CRP) of contralateral joint rotations and time to completion of a bouldering move are ways to assess rock climbing. This study aimed to assess this relationship, as well as the geometric entropy (GE) of the center of mass displacement when completing the bouldering move, and the metabolic efficiency over 4 min of bouldering. The study …


Rc Baja Drivetrain And Chassis, Beni Ntanda Jan 2024

Rc Baja Drivetrain And Chassis, Beni Ntanda

All Undergraduate Projects

The RC vehicle comprises 4 crucial subsystems: the chassis, drivetrain, suspension, and steering. This paper will cover the chassis and drivetrain, and my partner Noah Stevens will cover the suspension and steering. The chassis serves as a robust framework housing all vehicle components, while the drivetrain transmits power from the motor to the wheels, propelling the vehicle. An efficient drivetrain typically sacrifices speed for enhanced torque, aiming to minimize energy losses. Meanwhile, an ideal chassis features minimal deflection and user-friendly mounting points. This RC vehicle participated in the CWU RC Baja competition, aiming to rank among the top contenders.

The …


Rc Baja Car Drivetrain & Chassis, Boe Hartman Jan 2024

Rc Baja Car Drivetrain & Chassis, Boe Hartman

All Undergraduate Projects

The object of this report is to design, manufacturer, and build an RC Baja Car to compete in the annual ASME RC Baja Competition.

In order to design, manufacture, and build the RC Baja Car, various methods and approaches are utilized throughout to meet the specified criteria of the competition along with the teams’ personal requirements. Initially, after an overall design was acquired, analysis is done to ensure a working device. Analysis such as power requirements to verify the motor will meet ROAR requirements and suffice for the 4wd system utilized in the device. Statics and dynamics analysis are utilized …


Evaluation And Modulation Of The Circadian Clock In Human Keratinocytes And Epidermal Skin, William Harold Cvammen Iv Jan 2024

Evaluation And Modulation Of The Circadian Clock In Human Keratinocytes And Epidermal Skin, William Harold Cvammen Iv

Browse all Theses and Dissertations

The circadian clock is a fundamental biological mechanism that regulates various physiological processes, including DNA repair, to synchronize with the day-night cycle. In human skin, exposure to ultraviolet (UV) light poses a significant challenge, inducing DNA damage that must be efficiently repaired to maintain genomic integrity and prevent carcinogenesis. This study delved into the complex interplay between the circadian clock, UV light exposure, DNA repair, and modulation of circadian transcriptional machinery in human skin. Initially, we examined the transcriptomic profile of the circadian clock in humans through in silico-based approaches and in vivo studies, revealing that core clock gene expression …


Rc Baja: Drivetrain And Chassis, Sam Wang Jan 2024

Rc Baja: Drivetrain And Chassis, Sam Wang

All Undergraduate Projects

The RC Baja project aims to develop a high-performance RC vehicle for Baja-style racing through a comprehensive design, manufacturing/prototyping, and testing. The objective is to address engineering challenges related to ensuring durability, efficiency, and performance while navigating rugged terrains and obstacles.

To achieve this objective, the engineers conduct extensive research to guide the design process, with a specific emphasis on the drivetrain and chassis components. Detailed CAD modeling is utilized to refine the design of the drivetrain, incorporating elements such as gear ratios, differential systems, and torque distribution to enhance power delivery and traction. Similarly, the chassis design prioritizes factors …


Understanding Patient Profiles In Sickle Cell Disease Using Unsupervised Machine Learning, Raj Kamal Somavarapu Jan 2024

Understanding Patient Profiles In Sickle Cell Disease Using Unsupervised Machine Learning, Raj Kamal Somavarapu

Browse all Theses and Dissertations

Sickle Cell Disease (SCD) is one of the most prevalent genetic blood disorders affecting millions of people worldwide. It is often accompanied by acute and/or chronic pain leading to increased healthcare costs and adverse outcomes. Effective management of SCD requires an understanding of the diverse physiological profiles. This study employs unsupervised machine learning, specifically K-means clustering to categorize the patients suffering with SCD into different clusters based on their vital signs. The main aim is to identify the groups that reflect similarities in physiological and pain profiles, allowing an in-depth analysis to reveal distinctive features distinguishing patient clusters. The project …


Evaluating Fourth-Grader’S Perception Of Engineering Through A Community-Engaged Project (Evaluation), Olivia Ryan, Maija A. Benitz Jan 2024

Evaluating Fourth-Grader’S Perception Of Engineering Through A Community-Engaged Project (Evaluation), Olivia Ryan, Maija A. Benitz

Engineering, Computing & Construction Management Faculty Publications

To meet the complex challenges of the future, there needs to be an increase in the number of students pursuing , STEM and engineering. To grow those numbers, students must have an understanding and interest in engineering in order to pursue it as a career option. However, literature has shown that children hold misconceptions about the engineering profession, which can deter potential future engineers from the field. This underscores the importance of introducing engineering concepts at a young age. Over the past ten years, the Next Generation Science Standards (NGSS) have been integrated into state school curricula, increasing the emphasis …


Enhancing Robustness Of Graph Neural Network Against Adversarial Attacks By Balancing Local And Global Perspectives, Bibek Raj Joshi Jan 2024

Enhancing Robustness Of Graph Neural Network Against Adversarial Attacks By Balancing Local And Global Perspectives, Bibek Raj Joshi

Browse all Theses and Dissertations

Graph Neural Networks (GNNs) have increasingly gained popularity as tools for analyzing graph data in areas like biology, knowledge-graphs, social networks, biology, and recommendation systems. However, their vulnerability to adversarial attacks - small, targeted manipulations of graph structures or node features - raises serious concerns about their reliability in real-world applications. Existing defense strategies, such as adversarial training, edge filtering, low-rank approximations, and randomization-based methods, often suffer from high computational costs, scalability issues, or reduced clean-data performance. Unlike these methods, the proposed approach integrates multi-hop relationships, applies adaptive regularization, and maintains a balance between feature-based and structural embeddings, ensuring improved …


Meta-Learning-Based Model Stacking Framework For Hardware Trojan Detection In Fpga Systems, Mani Rupak Gurram Jan 2024

Meta-Learning-Based Model Stacking Framework For Hardware Trojan Detection In Fpga Systems, Mani Rupak Gurram

Browse all Theses and Dissertations

In today's technological landscape, hardware devices are integral to critical applications such as industrial automation, autonomous vehicles, and medical equipment, relying on advanced platforms like FPGAs for core functionalities. However, the multi-stage manufacturing process, often distributed across various foundries, introduces substantial security risks, notably the potential for hardware Trojan insertion. These malicious modifications compromise the reliability and safety of hardware systems. This research addresses the detection of hardware Trojans through side-channel analysis, utilizing power and electromagnetic signal data, combined with meta-learning techniques, specifically model stacking. By employing diverse base models and a meta-model to consolidate predictions, this non-invasive approach effectively …