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Full-Text Articles in Engineering

Accelerating Cavity Fault Prediction Using Deep Learning At Jefferson Laboratory, Md M. Rahman, A. Carpenter, K. Iftekharuddin, C. Tennant Jan 2024

Accelerating Cavity Fault Prediction Using Deep Learning At Jefferson Laboratory, Md M. Rahman, A. Carpenter, K. Iftekharuddin, C. Tennant

Electrical & Computer Engineering Faculty Publications

Accelerating cavities are an integral part of the continuous electron beam accelerator facility (CEBAF) at Jefferson Laboratory. When any of the over 400 cavities in CEBAF experiences a fault, it disrupts beam delivery to experimental user halls. In this study, we propose the use of a deep learning model to predict slowly developing cavity faults. By utilizing pre-fault signals, we train a long short-term memory-convolutional neural network binary classifier to distinguish between radio-frequency (RF) signals during normal operation and RF signals indicative of impending faults. We optimize the model by adjusting the fault confidence threshold and implementing a multiple consecutive …

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Investigation Of The Effect Of Preparation Parameters On The Structural And Mechanical Properties Of Gelatin/Elastin/Sodium Hyaluronate Scaffolds Fabricated By The Combined Foaming And Freeze-Drying Techniques, Mansour Qamash, S. Misagh Imani, Meisam Omidi, Ciara Glancy, Lobat Tayebi Jan 2024

Investigation Of The Effect Of Preparation Parameters On The Structural And Mechanical Properties Of Gelatin/Elastin/Sodium Hyaluronate Scaffolds Fabricated By The Combined Foaming And Freeze-Drying Techniques, Mansour Qamash, S. Misagh Imani, Meisam Omidi, Ciara Glancy, Lobat Tayebi

Electrical & Computer Engineering Faculty Publications

This paper aimed to evaluate the effects of different preparation parameters, including agitation speed, agitation time, and chilling temperature, on the structural and mechanical properties of a novel gelatin/elastin/sodium hyaluronate tissue engineering scaffold, recently developed by our research group. Fabricated using a combination of foaming and freeze-drying techniques, the scaffolds were assessed to understand how these parameters influence their morphology, internal microstructure, porosity, mechanical properties, and degradation behavior. The fabrication process used in this study involved preparing a homogeneous aqueous solution containing 8% gelatin, 2% elastin, and 0.5% sodium hyaluronate (w/v), which was then subjected to mechanical agitation at speeds …

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A Review Of Emerging Sensor Technologies For Tank Inspection: A Focus On Lidar And Hyperspectral Imaging And Their Automation And Deployment, Sergio Pallas Enguita, Chung-Hao Chen, Samuel Kovacic Jan 2024

A Review Of Emerging Sensor Technologies For Tank Inspection: A Focus On Lidar And Hyperspectral Imaging And Their Automation And Deployment, Sergio Pallas Enguita, Chung-Hao Chen, Samuel Kovacic

Electrical & Computer Engineering Faculty Publications

This paper reviews various sensor technologies for tank inspection, focusing on Light Detection and Ranging (LiDAR) and Hyperspectral Imaging (HSI) as advanced solutions for corrosion detection. These technologies are evaluated alongside traditional methods such as ultrasonic, electromagnetic, and thermographic inspections. This review highlights their potential to enhance inspection accuracy, reduce the limitations of manual inspection, and support integrated data analysis for comprehensive asset management. Additionally, this paper proposes a pathway for automating these techniques to streamline inspection processes and improve implementation in practical applications.

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Comparative Analysis Of Machine Learning Models For Predicting Healthcare Traffic: Insights For Optimized Emergency Response, Shadman Mahmood Khan Pathan, Sakan Binte Imran, M. M. Shabab Iqbal, Muhammad Enayetur Rahman, Md. Nurul Absar Siddiky, Muhammad Rezaur Rahman, Md Rafid Hasan, Nondon Lal Dey, Md Sobuj Hossain Jan 2024

Comparative Analysis Of Machine Learning Models For Predicting Healthcare Traffic: Insights For Optimized Emergency Response, Shadman Mahmood Khan Pathan, Sakan Binte Imran, M. M. Shabab Iqbal, Muhammad Enayetur Rahman, Md. Nurul Absar Siddiky, Muhammad Rezaur Rahman, Md Rafid Hasan, Nondon Lal Dey, Md Sobuj Hossain

Electrical & Computer Engineering Faculty Publications

Efficient management of healthcare traffic is crucial for ensuring timely access to medical services, particularly in emergency situations where delays can have severe consequences. This study presents a comparative analysis of three widely used machine learning models—Linear Regression, Decision Trees, and Random Forests—aimed at predicting healthcare-related traffic volumes. A large dataset from a metropolitan traffic system was used to train and evaluate the models based on key performance indicators, including Mean Squared Error (MSE), R² Score, and computational efficiency. The results reveal that the Random Forest model offers the best performance, achieving higher predictive accuracy and faster execution times compared …

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Predictive Modeling Of Healthcare Traffic Using Machine Learning: A Comparative Study, Shadman Mahmood Khan Pathan, Sakan Binte Imran, M. M. Shabab Iqbal, Muhammad Enayetur Rahman, Md Nurul Absar Siddiky, Muhammad Rezaur Rahman, Md. Rafid Hassan, Nondon Lal Dey, Md. Sobuj Hossain Jan 2024

Predictive Modeling Of Healthcare Traffic Using Machine Learning: A Comparative Study, Shadman Mahmood Khan Pathan, Sakan Binte Imran, M. M. Shabab Iqbal, Muhammad Enayetur Rahman, Md Nurul Absar Siddiky, Muhammad Rezaur Rahman, Md. Rafid Hassan, Nondon Lal Dey, Md. Sobuj Hossain

Electrical & Computer Engineering Faculty Publications

Effective healthcare traffic management is critical for ensuring prompt medical services, particularly in emergencies where delays can have life-threatening consequences. This study conducts a comparative analysis of three popular machine learning models—Linear Regression, Decision Trees, and Random Forests—for predicting healthcare-related traffic volumes. Utilizing a comprehensive dataset from a metropolitan interstate traffic system, the models were evaluated based on key performance metrics, including Mean Squared Error (MSE), R² Score, and execution time. The findings demonstrate that the Random Forest model outperforms the others, offering superior predictive accuracy and efficiency. These insights are valuable for optimizing traffic management in healthcare, ultimately contributing …

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Distance Estimation Based On Step Frequency Using Accelerometer Data, Rami M. Al-Naimat, Khawlah M. Harahsheh, Chung-Hao Chen Jan 2024

Distance Estimation Based On Step Frequency Using Accelerometer Data, Rami M. Al-Naimat, Khawlah M. Harahsheh, Chung-Hao Chen

Electrical & Computer Engineering Faculty Publications

In recent years, smartphone sensors have become one of the most important and easily available sensors to facilitate people's lives, especially in health care and positioning (indoor environments). However, the data coming from smartphone sensors can be distorted during the user’s movement such as irrelevant movements, walk mode, and speed of walking. This distortion (noise) impairs the estimated distance accuracy (accumulative error) which increases with increasing walking distance. In addition, the accuracy of the distance traveled is affected by the user's speed, as the speed affects the step length. This work proposes a novel approach for calculating step length in …

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A New Cache Replacement Policy In Named Data Network Based On Fib Table Information, Mehran Hosseinzadeh, Neda Moghim, Samira Taheri, Nasrin Gholami Jan 2024

A New Cache Replacement Policy In Named Data Network Based On Fib Table Information, Mehran Hosseinzadeh, Neda Moghim, Samira Taheri, Nasrin Gholami

VMASC Publications

Named Data Network (NDN) is proposed for the Internet as an information-centric architecture. Content storing in the router’s cache plays a significant role in NDN. When a router’s cache becomes full, a cache replacement policy determines which content should be discarded for the new content storage. This paper proposes a new cache replacement policy called Discard of Fast Retrievable Content (DFRC). In DFRC, the retrieval time of the content is evaluated using the FIB table information, and the content with less retrieval time receives more discard priority. An impact weight is also used to involve both the grade of retrieval …

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Embedding Software Engineering In Mixed Methods: Computationally Enhanced Risk Communication, Ann Marie Reinhold, Madison H. Munro, Elizabeth A. Shanahan, Ross J. Gore, Barry C. Ezell, Clemente I. Izurieta Jan 2024

Embedding Software Engineering In Mixed Methods: Computationally Enhanced Risk Communication, Ann Marie Reinhold, Madison H. Munro, Elizabeth A. Shanahan, Ross J. Gore, Barry C. Ezell, Clemente I. Izurieta

VMASC Publications

Mixed methods research ameliorates many convergent research challenges within the contemporary sociotechnical landscape. We suggest the integration of software engineering in mixed methods studies is a critical step to address some of the remaining and persistent challenges. One such research challenge where software engineering is particularly well suited is in hazard preparedness—in particular, the creation of risk communication messages to mitigate or prevent harm. Computationally enhanced risk communication is convergent research that integrates software engineering and social science research for the benefit of protecting humans and infrastructure. To this end, we developed a mixed methods framework for the efficient construction …

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Designing High-Performance Identity-Based Quantum Signature Protocol With Strong Security, Sunil Prajapat, Pankaj Kumar, Sandeep Kumar, Ashok Kumar Das, Sachin Shetty, M. Shamim Hossain Jan 2024

Designing High-Performance Identity-Based Quantum Signature Protocol With Strong Security, Sunil Prajapat, Pankaj Kumar, Sandeep Kumar, Ashok Kumar Das, Sachin Shetty, M. Shamim Hossain

VMASC Publications

Due to the rapid advancement of quantum computers, there has been a furious race for quantum technologies in academia and industry. Quantum cryptography is an important tool for achieving security services during quantum communication. Designated verifier signature, a variant of quantum cryptography, is very useful in applications like the Internet of Things (IoT) and auctions. An identity-based quantum-designated verifier signature (QDVS) scheme is suggested in this work. Our protocol features security attributes like eavesdropping, non-repudiation, designated verification, and hiding sources attacks. Additionally, it is protected from attacks on forgery, inter-resending, and impersonation. The proposed scheme benefits from the traditional designated …

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Building Integration Of A Solar Air Heating System, Fernando Guerreiro Jan 2024

Building Integration Of A Solar Air Heating System, Fernando Guerreiro

Doctoral

In order to achieve the global carbon emission target, the high fraction of locally available renewable energy sources will become necessary to meet energy demand. Solar energy is one of the most important renewable sources locally available for use in space heating, cooling, hot water supply and power production. Building integrated solar thermal systems (BISTS) can be a potential solution towards the enhanced energy efficiency and reduced operational cost in built environment. The current research aimed at developing an active solar air heating collector for building integration. This system consisted of several asymmetric compound parabolic concentrating collectors with inverted transpired …

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Matthew Gaber: Peekaboo, Matthew Gaber, Mohiuddin Ahmed, Helge Janicke Jan 2024

Matthew Gaber: Peekaboo, Matthew Gaber, Mohiuddin Ahmed, Helge Janicke

Research Datasets

Cyber-attacks continue to evolve, increasing in frequency and sophistication where Artificial Intelligence (AI) is becoming essential in detecting modern malware. However, the accuracy of AI in malware detection is dependent on the quality of the features it is trained with. Static and dynamic analysis of malware is limited by the widespread use of obfuscation and anti-analysis techniques employed by malware authors, where if an analysis environment is detected the malware will hide its malicious behavior. However, Dynamic Binary Instrumentation (DBI) allows deep and precise control of the malware sample, thereby facilitating the extraction of authentic features from sophisticated and evasive …

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Advancing The Understanding Of Successful Technology Implementation Factors Within State Dots: A Maturity Model Perspective, Amit Tripathi, Roy Sturgill, Gabriel Dadi, Hala Nassereddine, Alexa Mitchell Jan 2024

Advancing The Understanding Of Successful Technology Implementation Factors Within State Dots: A Maturity Model Perspective, Amit Tripathi, Roy Sturgill, Gabriel Dadi, Hala Nassereddine, Alexa Mitchell

Civil Engineering Faculty Publications

In an effort to improve the security, dependability, and quality of infrastructure systems, the implementation of complex transportation construction and maintenance projects is essential. Building upon a previous study that identified six crucial factors for effectively implementing new and emerging technologies in the State Department of Transportations (DOTs), this research aims to comprehensively explore six critical factors using a maturity model perspective. DOTs have shown increasing interest in adopting emerging and wireless technologies, as evident in various Federal Highway Administration Every Day Counts initiative. This study employs a mixed-methods approach, using survey responses from DOT personnel to evaluate the relative …

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Statistical Analysis For Water Quality Data Using Anova (Case Study- Lake Burullus Influent Drains), Mohamed Hussein Hegazy Jan 2024

Statistical Analysis For Water Quality Data Using Anova (Case Study- Lake Burullus Influent Drains), Mohamed Hussein Hegazy

Civil Engineering

Lake Burullus is considered one of the most valuable northern lakes in Egypt due to its unique ecological system and special location. Over the past four decades, the lake has suffered from high contamination levels due to expansion in fish farming and increasing of agricultural drainage water entering the southern side of the lake through eight influent drains. This research aims to assess the current situation of the lake’s influent drains. For this purpose, two types of statistical analysis, Mean average method, and Analysis of Variance (ANOVA) were used. The water quality conditions for six major drains (Therah (Tira), Nashart, …

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Lecturer Assistant, Aya Hassan Jan 2024

Lecturer Assistant, Aya Hassan

Civil Engineering

Lake Burullus is considered one of the most valuable northern lakes in Egypt due to its unique ecological system and special location. Over the past four decades, the lake has suffered from high contamination levels due to expansion in fish farming and increasing of agricultural drainage water entering the southern side of the lake through eight influent drains. This research aims to assess the current situation of the lake’s influent drains. For this purpose, two types of statistical analysis, Mean average method, and Analysis of Variance (ANOVA) were used. The water quality conditions for six major drains (Therah (Tira), Nashart, …

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Understanding Impact Resistance Of Hollow Core Slabs Using Frp Retrofitting. A Comparative Analysis Of Gfrp And Cfrp, Rana Essam, Mina Maxi, Mariam Ehab Jan 2024

Understanding Impact Resistance Of Hollow Core Slabs Using Frp Retrofitting. A Comparative Analysis Of Gfrp And Cfrp, Rana Essam, Mina Maxi, Mariam Ehab

Civil Engineering

No abstract provided.

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Advancing Seismic Retrofitting: Unveiling The Impact Of Shape Memory Alloys On Structural Resilience And Beyond, Mariam Ehab, Mina Maxy, Nermin Ahmed Jan 2024

Advancing Seismic Retrofitting: Unveiling The Impact Of Shape Memory Alloys On Structural Resilience And Beyond, Mariam Ehab, Mina Maxy, Nermin Ahmed

Civil Engineering

Reinforced concrete (RC) buildings face significant risks from natural disasters such as earthquakes and hurricanes, necessitating prompt maintenance and retrofitting. This study explores the application of shape memory alloys (SMAs) as a promising retrofitting technique, leveraging their unique attributes such as super elasticity and shape memory effect. This research focuses on seismic retrofitting with SMAs, aiming to address gaps in understanding their behaviour under extreme loading conditions, such as seismic or impact loading. Employing a comprehensive methodology, combining quantitative and qualitative analyses, the study reviews relevant literature, categorizes key aspects, and conducts a comparative analysis of the selected papers. The …

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Applying The Normative Design Approach To Civil Engineering, Justin R. Vander Werff Jan 2024

Applying The Normative Design Approach To Civil Engineering, Justin R. Vander Werff

Faculty Work Comprehensive List

In 1986, the book Responsible Technology [1] was published as an important compilation from a number of thoughtful Christians engaged in technology and engineering in that era. In many ways, this book and those involved with it laid the foundation for what has become the Christian Engineering Society. A particularly valuable aspect of this work was that it laid out a biblically normative framework for doing engineering based on Herman Dooyeweerd’s modal aspects [2], fleshing out how the higher aspects such as faith, ethics, and justice should play an integral role in engineering development, even though we often have a …

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A Bi-Invariant Approach To Approximate Motion Synthesis Of Planar Four-Bar Linkage, Tianze Xu, David H. Myszka, Andrew P. Murray Jan 2024

A Bi-Invariant Approach To Approximate Motion Synthesis Of Planar Four-Bar Linkage, Tianze Xu, David H. Myszka, Andrew P. Murray

Mechanical and Aerospace Engineering Faculty Publications

This paper presents a planar four-bar approximate motion synthesis technique that uses only pole locations. Synthesis for rigid-body guidance determines the linkage dimensions that guide a body in a desired manner. The desired motion is specified with task positions including a location and orientation angle. Approximation motion synthesis is necessary when an exact match to the task positions cannot be obtained. A linkage that achieves the task positions as closely as possible becomes desired. Structural error refers to the deviations between the task positions and the linkage's generated positions. A challenge in approximate motion synthesis is that structural error involves …

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Characterization Of Upper Extremity Kinematics Using Virtual Reality Movement Tasks And Wearable Imu Technology, Skyler A. Barclay, Lanna N. Klausing, Tessa M. Hill, Allison L. Kinney, Timothy Reissman, Megan E. Reissman Jan 2024

Characterization Of Upper Extremity Kinematics Using Virtual Reality Movement Tasks And Wearable Imu Technology, Skyler A. Barclay, Lanna N. Klausing, Tessa M. Hill, Allison L. Kinney, Timothy Reissman, Megan E. Reissman

Mechanical and Aerospace Engineering Faculty Publications

Task-specific training has been shown to be an effective neuromotor rehabilitation intervention, however, this repetitive approach is not always very engaging. Virtual reality (VR) systems are becoming increasingly popular in therapy due to their ability to encourage movement through customizable and immersive environments. Additionally, VR can allow for a standardization of tasks that is often lacking in upper extremity research. Here, 16 healthy participants performed upper extremity movement tasks synced to music, using a commercially available VR game known as Beat Saber. VR tasks were customized to characterize participants' joint angles with respect to each task's specified cardinal direction (inward, …

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Instantaneous Generation Of Subject-Specific Finite Element Models Of The Hip Capsule, Ahilan Anantha-Krishnan, Casey A. Myers, Clare K. Fitzpatrick, Chadd W. Clary Jan 2024

Instantaneous Generation Of Subject-Specific Finite Element Models Of The Hip Capsule, Ahilan Anantha-Krishnan, Casey A. Myers, Clare K. Fitzpatrick, Chadd W. Clary

Mechanical and Biomedical Engineering Faculty Publications and Presentations

Subject-specific hip capsule models could offer insights into impingement and dislocation risk when coupled with computer-aided surgery, but model calibration is time-consuming using traditional techniques. This study developed a framework for instantaneously generating subject-specific finite element (FE) capsule representations from regression models trained with a probabilistic approach. A validated FE model of the implanted hip capsule was evaluated probabilistically to generate a training dataset relating capsule geometry and material properties to hip laxity. Multivariate regression models were trained using 90% of trials to predict capsule properties based on hip laxity and attachment site information. The regression models were validated using …

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Delta Airlines Rebrand, Tryphena Elliott Jan 2024

Delta Airlines Rebrand, Tryphena Elliott

Student Research Design & Innovation Symposium

The class was tasked with redesigning an existing brand of choice and creating a series of deliverables reflecting the new change. The purpose of this assignment was to create a completely new look for an existing brand, while still keeping it recognizable as the original brand. Delta Airlines was the brand of choice for this project because they are one of, if not the most eco-friendly airline, but their current branding does nothing to reflect these values. This redesign's goal was to make Delta stand out amongst the other airlines, and bring their eco-friendliness to the forefront of their brand …

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Wifi Exercise Machine, Mekhi Edwards, Corey Majerus, Anthony Acevedo, Christopher April, Taylor Blackmon Jan 2024

Wifi Exercise Machine, Mekhi Edwards, Corey Majerus, Anthony Acevedo, Christopher April, Taylor Blackmon

Student Research Design & Innovation Symposium

Produced by the 2024 Technical Solutions Design Project class, the objective of the TECX4190 design project was to develop, through collaborative effort, exercise equipment with workout management and health monitoring capabilities. In the 2024 academic spring semester, the Technical Solutions Design students decided to demonstrate their capability goals with a jump rope. These students were split into two teams to develop the same project through two distinctive design solutions. Both teams worked through the concept design and implementation process for each group project. The Technical Solutions Design project presented a unique problem due to space constraints affecting the design of …

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Retro Gaming Classic Tetris, Taylor Blackmon, Corey Majerus, Anthony Acevedo, Christopher April, Bradley Smith Jan 2024

Retro Gaming Classic Tetris, Taylor Blackmon, Corey Majerus, Anthony Acevedo, Christopher April, Bradley Smith

Student Research Design & Innovation Symposium

Originating from the BSEE Senior Capstone Design Project class, the objective of the 2023-2024 Senior Electronics Engineering design project was to implement an efficiently functioning and user-friendly Tetris program on a DE-10 Lite FPGA development board with a connected XBee Pro input shield to receive mechanical input from users. In the 2023- 2024 academic year, the capstone design students started the design after a successful unification, the two teams created the application for the Tetris game using the unified development platform. At the end of 2023, the Capstone Design teams developed the retro style classic game Tetris on the development …

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Drunk Coquí | Brand Trends, Gabriella Nieves Jan 2024

Drunk Coquí | Brand Trends, Gabriella Nieves

Student Research Design & Innovation Symposium

The goal of this project was to create seven logos for a fictious brand that explored different brand style trends, along with some mockups of the logos in use. I came up with Drunk Coquí, a tavern that values community and festivities while connecting with Puerto Rican culture, as represented by the brand’s mascot, the coquí frog. While each logo variation represents these values, each of them still give off a different vibe. For instance, the Geometric & Overlapping logo has a more silly and playful approach, while the Texture & Detailing logo has a more classic and serious look.

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Kindly Foods: Reimagining Organic Food Packaging, Camille Hart Jan 2024

Kindly Foods: Reimagining Organic Food Packaging, Camille Hart

Student Research Design & Innovation Symposium

In my Package Design class, we were tasked with creating packaging for the four basics: milk, bread, eggs, and butter. I created the fictitious brand Kindly Foods. Kindly Foods is an organic plant-based brand focused on clean ingredients right from the earth. The deliverables for this project included designed and prototyped packaging for the four products, and a website to go along with the brand. The packaging and branding are very colorful, standing out against other organic packaging on the shelves. Each product packaging is unique to its product, complete with hand-drawn elements. Kindly Foods is kind to the earth …

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Love Bash Event Branding For Potter League, Shea Lambert, Julia Schiels Jan 2024

Love Bash Event Branding For Potter League, Shea Lambert, Julia Schiels

Student Research Design & Innovation Symposium

As part of a Directed Experiential Education course, we worked with Potter League for Animals to design new branding for their 2025 Love Bash event. The Love Bash event is a premier spring fundraiser that takes place at the Wyndham Newport Hotel in Middletown, Rhode Island. We were responsible for designing a logo and defining brand standards for this event that aligned with Potter League’s existing brand. We were given extensive creative freedom with limited constraints. These constraints consisted of incorporating the logo mark and brand colors so that the brand identity was recognizable. Our designs for the new Love …

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M.A.R.T.I.A.N Construction Robot, Michael Dattolo Jan 2024

M.A.R.T.I.A.N Construction Robot, Michael Dattolo

Student Research Design & Innovation Symposium

The Martian is a pioneering initiative in extraterrestrial construction focused on developing habitats on Mars. Central to this project is a highly sophisticated robot uniquely tailored for Mars' challenging environment. It integrates advanced technologies such as Artificial Intelligence (AI), LIDAR (Light Detection and Ranging), Depth Cameras, and a specialized construction mechanism. The AI enables autonomous decision-making, optimizes resource allocation, and executes complex building strategies. LIDAR technology allows for precise 3D mapping of Martian terrain, vital for site assessment and construction integrity. The depth camera provides detailed spatial awareness which is crucial for meticulous construction tasks. This robot will make it …

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Drive Clean - Vehicle Care Products, Christopher Hammond Jan 2024

Drive Clean - Vehicle Care Products, Christopher Hammond

Student Research Design & Innovation Symposium

Drive Clean is brand that specializes in selling higher-end vehicle care products. Drive Clean was created for my Fall 2023 Packaging Design class, where a project was assigned to create a brand from several different categories (dairy, cleaning products, food, etc.) and then create packaging for that brand's products. I created Drive Clean as part of the cleaning products category, with the twist of products being meant for vehicles. I designed packaging for: Tire Shine Foam, UV Protectant Spray, Interior Cleaning Wipes, and Glass Cleaning Wipes. Each package features original imagery that pertains to each product's purpose, with the Tire …

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Large-Scale Wayfinding Design At Boston Convention, Abram Kempner Jan 2024

Large-Scale Wayfinding Design At Boston Convention, Abram Kempner

Student Research Design & Innovation Symposium

I took part in this design project during my summer internship with Willwork Global Event Services, a trusted partner in event solutions. The objective of this design project was to create large-scale, dynamic environmental and wayfinding graphics. The design was to be used on signage and booths that attendees would interact with throughout the 2023 American Speech Hearing Association Convention in Boston, in accordance with the theme and brand outlines provided by ASHA. The event consisted of 3 core elements: Igniting Innovation, Education and Boston Culture. For the membership services booth and speaker-ready room entrance, illustrations of iconic Boston landmarks …

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Cyberjack, Logan Daubel Jan 2024

Cyberjack, Logan Daubel

Student Research Design & Innovation Symposium

The objective of this handcrafted design project was to design and construct wearable storage, using that prompt a jacket with unlimited customization was idealized. Inspired by the ethos of Tech-wear, the jacket was built for those who always have everything they need on them, like tools, pencils, laptop, phones, snacks, books, headphones, etc. There were many key aspects that were learned in the Iteration studio that were able to be utilized in the making of the jacket, such as many iterative sketches to hone in a design, rapid prototyping to flush out any issues that arise during the building process …

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