Digital Commons Network^™

Alice Marie Manns

African American Funeral Programs

Alice_Marie_Mans.pdf - Funeral program for Alice Manns

Yolanda Robinson

African American Funeral Programs

Yolanda_Robinson.pdf - Funeral program for Yolanda Robinson

Neon Dawn, Roots In Wisdom, Charles Barr

College of Business and Management Faculty Publications & Presentations

Album theme: Renewal at first light — Drive, Discipline Is Destiny, Thinking Fast and Slow, and Prisoners of Geography: motivation science and worldly wisdom for rising from the inside out.

# | Track | Inspired by (Book)

• 1 | Burn From Inside | Drive
• 2 | Do Yuh Duty | Discipline Is Destiny
• 3 | Geo Destiny | Prisoners of Geography
• 4 | Life Energy | The Power of Full Engagement
• 5 | Move Yuh Body | Spark
• 6 | Original Ones | Originals
• 7 | Predictability | Predictably Irrational
• 8 | Return | Homecoming
• 9 | Share | The …

Argentina's Working Class And Milei, Evan J. Bryant

Research Papers

This paper investigates the electoral success of Javier Milei through a focused study of Argentina’s working class, analyzing the interplay between long-term economic stagnation, declining relative economic freedom, and static labor union policy support. Employing process tracing methodology, and drawing on both qualitative and quantitative data, the paper supports a shift in utility-maximizing political preferences among workers. This shift is evidenced by diminished labor union membership and influence, alongside Milei’s major electoral success. The analysis accounts for potential confounding variables, including global economic trends and informal labor growth, ultimately isolating domestic political-economic dynamics as primary drivers of this transformation.

Chasing Meaning, Julian Coleman

Cardinal Compositions

No abstract provided.

Ode To My Grandparents’ Living Room, Piper Greeby

Cardinal Compositions

No abstract provided.

Learn About Technical Communication, Chloe Cuzzupe

Cardinal Compositions

No abstract provided.

Technical Communication In The Workplace, Om Shah

Cardinal Compositions

No abstract provided.

Tai Chi Offers Students A Way To Cope With Anxiety, Anna Williams

Cardinal Compositions

No abstract provided.

Analysis Of Body Language And Gender Study, Haisley Shepherd

Cardinal Compositions

No abstract provided.

Research And Advancing Dei And Representation In Medical Treatment And Healthcare Access, Aleea Engle

Cardinal Compositions

No abstract provided.

Analyzation Of “Importance Of Empathy For Social Work Practice: Integrating New Science” By Karen E. Gerdes And Elizabeth Segal, Aleea Engle

Cardinal Compositions

No abstract provided.

Technical Description: Opill®, Abby Baughman

Cardinal Compositions

No abstract provided.

Symposium Assignment Sheet, Rebekah Crosson

Cardinal Compositions

No abstract provided.

Researching & Advancing Diversity, Equity, Inclusion, And Representation In [Your Field], Rebekah Crosson

Cardinal Compositions

No abstract provided.

Using Speakers As Sensors: Detecting Acoustic Loads With Dense Neural Networks And Impedance Features, Max Chen, Keisuke Alexander Nakamura, Noori Kim

Purdue Polytechnic Graduate Student Poster Symposium

The use of speakers as sensors to detect ear canal conditions has been previously demonstrated using variable syringe lengths attached to earphones. Building on this foundation, our research explores the potential of a single speaker to function as both an actuator and sensor by leveraging electrical impedance measurements under varying acoustic loads, analyzed with Dense Neural Networks (DNN). Electrical impedance data, including magnitude and phase, were collected from four speakers across fourteen distinct acoustic load conditions, yielding a dataset of 5,600 samples. The raw data were processed through the DNN model, achieving an 87% accuracy in length prediction independent of …

The Role Of Oxygen During Thermal Runaway Of Lithium-Ion Batteries, Nicholas Baehl, Jason Ostanek

Purdue Polytechnic Graduate Student Poster Symposium

Energy storage has become an important technology due to the increasing utilization of renewable resources. Although LIB usage continues to rise, latent defects and abuse pose safety risks. Modeling and simulation tools are applied to simulate failure conditions such as thermal runaway. CFD tools may be used to simulate thermal runaway with consideration of important physics including: gas generation, venting, and combustion of evolved gases. Previous CFD-based studies have investigated thermal runaway and venting, but none have considered the instantaneous composition of gases which may lead to ignition within the cell body. This work explores the progression of thermal runaway …

Smartphone-Based Circular Plot Sampling For Forest Inventory, Su Sun, Yingjie Victor Chen

Purdue Polytechnic Graduate Student Poster Symposium

Circular sample plots are key to forest inventory, but current methods are often costly or labor-intensive. We propose a simple, smartphone-based approach to measure tree DBH and locations within a circular plot. It offers accurate results and is accessible to both researchers and local forest managers.

Pulse Flow Reverse Osmosis With Feed Flow Reversal, Jarrod Robbins, John Murray, Jose M. Garcia-Bravo

Purdue Polytechnic Graduate Student Poster Symposium

The purpose of this study is to increase the efficiency and water recovery of household scale reverse osmosis systems. Due to the small membranes and simple design, current household RO systems send much of the feed water to the drainage system. This system will be capable of implementing Feed Flow reversal in order to increase the lifespan of the RO membrane as Pulse Flow RO may lead to uneven loading due to variances in salinity and increased pressure spikes.

Personalizing Engineering Education Through Environmental Backgrounds And Augmented Reality, Mohammed Metwaly, Farid Breidi

Purdue Polytechnic Graduate Student Poster Symposium

This study aims to design, develop, and evaluate a Personalized Engineering Playground (PEP) that connects students' environmental backgrounds with engineering applications. It investigates the impact of early outdoor experiences on students' motivation to pursue engineering careers. Utilizing a comprehensive survey of over 150 engineering technology students, the study collected both quantitative and qualitative data on nature-related activities, career influences, and environmental perceptions. The findings indicate that activities such as building (23%), exploring (17%), and observing nature (20%) play a significant role in shaping engineering interest. Approximately 45% of the students reported that outdoor experiences had a positive influence on their …

Performance Analysis Of A Dc Nanogrid Heat Pump System For Residential House, Ehijie Ebewele, William Hutzel

Purdue Polytechnic Graduate Student Poster Symposium

The increasing demand for energy-efficient systems has led to the exploration of Direct Current (DC)-powered technologies in residential applications, as most residential appliances and devices now run on DC voltage. The future of renewable energy integration will depend heavily on powering the planet with DC voltage because most distributed energy systems (PV panels, batteries, etc.) are DC-driven. For this reason, energy efficiency in buildings is today a prime objective, among building services, the growth in HVAC systems energy use is particularly significant (50% of building consumption and 20% of total consumption in the USA.

Neuronal Signal Activity Image Classification, Ardavan Vakil, Miad Faezipour

Purdue Polytechnic Graduate Student Poster Symposium

Neurodegenerative disorders can cause signal disturbances on the neuronal spiking patterns within the brain. Parkinson’s disease, as an example, produces burst firings and synchronized oscillatory signal patterns. Accurately distinguishing between different brain spiking pattern activities is essential in finding effective neuromodulation or neurostimulation treatments for neurodegenerative disorders like Parkinson disease. Due to the lack of publicly available neuronal spiking pattern datasets containing different neuronal signal patterns and classes, we propose the generation of a novel three-class dataset. We then convert the generated signals into 2D images and separate the generated signal images into test and train datasets. We aim to …

Integrating Environmental Identity Into Engineering Education Through Augmented Reality, Mohammed Metwaly, Farid Breidi, Wade Goodridge, Sarah Bargal, Carie Green, Aqlan Faisal

Purdue Polytechnic Graduate Student Poster Symposium

This study aims to design, develop, and evaluate a Personalized Engineering Playground (PEP) that connects students' environmental experiences with engineering applications. It investigates the impact of early outdoor experiences on students' motivation to pursue engineering careers. Utilizing a comprehensive survey of over 150 engineering technology students, the study collected both quantitative and qualitative data on nature-related activities, career influences, and environmental perceptions. The findings indicate that activities such as building (23%), exploring (17%), and observing nature (20%) play a significant role in shaping engineering identity. Approximately 45% of the students reported that outdoor experiences had a positive influence on their …

Hierarchical Convolutional Attention Mixing (Hi-Cam) Transformer For Medical Image Segmentation, Md Motiur Rahman, Shiva Shokouhmand, Smriti Bhatt, Miad Faezipour

Purdue Polytechnic Graduate Student Poster Symposium

We propose Hi-CAM, a Hierarchical-Convolutional Attention Mixing transformer for medical image segmentation. It uses a pre-trained MaxViT encoder and a novel decoder that combines multi-head self-attention, spatial attention, and squeeze-and-excitation modules to capture long-range dependencies. Deep and shallow convolutions enhance spatial features, while skip connections fuse multi-level features and suppress noise. Experiments on ACDC and Synapse datasets show that Hi-CAM significantly outperforms state-of-the-art models, highlighting the effectiveness of the hierarchical attention-mixing strategy.

Finding What Keywords Miss: Vector Search For Digital Forensics, Adil Koeken, Samay Nandwana, Avantika Shah, Vinicius Lima, Umit Karabiyik

Purdue Polytechnic Graduate Student Poster Symposium

Digital investigators face challenges searching through massive data when coded language evades keyword searches. Our research shows how vector embeddings enhance digital forensics by detecting implicit drug references in social media. Using LLM2Vec with instruction-based embeddings, we significantly outperformed traditional keyword searches when dealing with slang, enabling investigators to find content based on meaning rather than exact word matching.

Extended Reality-Enabled Teleoperation Platform For Industrial Operations, Israa Azzam, Farid Breidi

Purdue Polytechnic Graduate Student Poster Symposium

Extended Reality (XR) environments enhance the efficacy of teleoperation systems, overcoming the limitations of 2D settings. This work aims to advance industrial teleoperations by investigating the capabilities of remote XR environments, selecting the optimal configuration, and developing an XR-Enabled Teleoperation Platform that integrates advanced controllers, allowing minimizing latency. The XR-Enabled Teleoperation Platform is designed integrating control protocols, including Adaptive Smoothing & Model Predictive Control to minimize latency and enhance synchronization. This framework is tested on a 6-DOF robotic arm, serving as a Digital Twin (DT), enabling bi-directional data exchange between the physical robotic arm and its virtual shadow

Ensemble Feature Selection For Network Intrusion Detection Systems Using Explainable Ai: A Frequency-Based Approach, Ismail Bibers, Mustafa Abdallah

Purdue Polytechnic Graduate Student Poster Symposium

We propose an XAI-based ensemble feature selection method combining XAI methods to reduce bias in IDS. A frequency-based approach identifies key features, validated on CICIDS-2017 with improved accuracy and efficiency. Our framework enhances robustness and interpretability in intrusion detection

Enhancing Surgical Tool Classification Using A Semi-Supervised Learning Autoencoder Approach, Shiva Shokouhmand, Md Motiur Rahman, Smriti Bhatt, Suranjan Panigrahi, Miad Faezipour

Purdue Polytechnic Graduate Student Poster Symposium

The purpose of this study is to develop a robust approach for identifying and classifying surgical instruments while addressing the challenges associated with traditional supervised learning methods, which require large annotated datasets. By comparing the performance of supervised machine learning and deep learning models with a semi-supervised autoencoder approach, this study aims to enhance efficiency and accuracy in automated and robotic-assisted surgical procedures. This will ultimately improve workflow optimization, error minimization, and real-time decision-making in the operating room

Efficient Heating For High Altitude Housing In Peru, Ajay Dalal, William Hutzel, Walter Leon-Salas

Purdue Polytechnic Graduate Student Poster Symposium

A research station is being built in Sumbay, Peru, located at an elevation of 13,543 feet above sea level. Because of the constant cold temperatures throughout the year and the remote off-grid location of the station, a efficient heating system is required for the on-site Airbnb residence. This project explores the viability of an air-source heat pump (ASHP) under high-altitude conditions with much lower air density. An Engineering Equation Solver (EES) model, an "altitude factor," and 8760-hour weather analysis were utilized to estimate the heating requirements. Preliminary results indicate as much as 40% derating in capacity at the high altitude, …

Demonstration Of A Digital Twin Framework For A Two-Actuator Hydraulic Application, Marvin R. Durango -Cogollo, Jose M. Garcia-Bravo

Purdue Polytechnic Graduate Student Poster Symposium

This project presents a digital twin framework for controlling a hydraulic crane using AI, mixed reality, and real-time actuation. Leveraging a Jetson Nano and Xbox Kinect for perception and a Raspberry Pi with DRV103 for control, the system enables adaptive motion planning and obstacle-aware navigation. A Unity-based interface integrated with HoloLens2 allows operators to visualize and manipulate the crane through FABRIK inverse kinematics. Real-time environmental mapping from Kinect enables obstacle detection to update the motion path dynamically. Early experiments confirm the ability to compute joint angles in real-time, detect environmental objects, and demonstrate closed-loop control in a virtual-physical hybrid system.