Digital Commons Network^™

The Shrinking Caspian Sea: Eco‐Hydrological Responses To Human And Climate Pressures, Jesse Duku, Mohammad J. Tourian, Marzi Azarderakhsh, Rovshan Abbasov, Ali Mehran, Ali Torabi Haghighi, Stefanos Xenarios, Azara Boschee, Salih Babagiray, Mojtaba Sadegh, Nima Shokri, Ali Nazemi, Alireza Farahmand, Samaneh Ashraf, Temur Khujanazarov, Elmira Hassanzadeh, Dalal Najib, Daniel Placht, Shamshagul Mashtayeva, Ekaterina Rets, Hamid Norouzi, Kaveh Madani, Manoochehr Shirzaei, Hossein Shafizadeh-Moghadam, Chiyuan Miao, Ali Mirchi, Shuo Wang, Amir Aghakouchak

Publications and Research

The Caspian Sea, the Earth's largest inland water body, faces water level decline, drawing comparisons to the collapse of the Aral Sea. Unlike the Aral Sea, the relative roles of climatic variability, hydrological changes, and anthropogenic pressures on the Caspian Sea remain poorly understood. Here, we integrate satellite observations, in situ hydrological records and reanalysis data to examine recent drivers of the Caspian water loss. We show that total river inflow to the Caspian Sea has declined significantly, primarily due to reduced discharge from the Volga River. At the same time, precipitation over the basin has remained broadly stable, while …

Evaluating Chest-Worn Light Logger Adherence: Development And Application Of A Wear/Non-Wear Model, Carlyn Patterson Gentile, Adah Thomas, Ryan Shah, Blanca Marquez De Prado, Nichelle Raj, Christina Szperka, Geoffrey Aguirre

Student Papers, Posters & Projects

Light exposure plays an important role in overall health because it entrains circadian rhythms. Recent technological advances in wearable light loggers allow measurement daily light exposure habits. Using a chest-worn light logger, our goal was to (1) develop methodology for differentiating adherent versus non-adherent use, and (2) define differences in lighting intensity in indoor and outdoor environments, to improve data reliability in future clinical studies using this technology. Four testers used a 10-channel chest worn light logging device under different conditions of wear and non-wear (experiment 1), and another tester made measurements with the light logger across a variety of …

Sleepfocus – The Attributes And Application, Austin Kim, Erik Keifer, Isaac Amedie

Computer Science and Engineering Senior Theses

Insufficient sleep is a widespread public health concern, yet many consumer sleep tools still emphasize retrospective dashboards over personalized, actionable guidance. Platforms such as Apple Health, Fitbit, Whoop, and Oura collect detailed biometric and sleep data, but users are often left to interpret trends and decide what to change on their own.

SleepFocus was built to address that gap by turning wearable sleep data into clearer feedback, personalized recommendations, and healthier sleep routines. SleepFocus is a native iOS application that integrates with Apple HealthKit to collect sleep-stage data and biometric streams such as heart rate, heart rate variability, respiratory rate, …

A Provable Semi-Infinite Programming Approach For Solving Constrained Dynamic Games, Tyler C. Gardner, Matthew W. Harris, Logan Lancaster

Mechanical and Aerospace Engineering Student Publications and Presentations

Many engineering problems must account for the non-cooperative decisions and actions of multiple players. These problems can be modeled within a game-theoretic framework. The approach herein is to model such problems as mathematical games, convert them to semi-infinite programs, and utilize a semi-infinite program solver whose output is provably an ϵ-optimal Nash equilibrium. The approach is successfully benchmarked on two low-dimensional problems. Two types of higher-dimensional linear quadratic dynamic games are then investigated: ones where each player’s problem is convex and ones where at least one player’s problem is nonconvex. Within each type, variations based on information structure, control …

Multidomain Modeling And Ramp-Aware Forecasting Of Floating Photovoltaic Systems For Water-Energy Nexus Applications, Md Atiqur Rahaman

Doctoral Dissertations

Floating photovoltaic (FPV) systems have become a transformative renewable energy technology because of their cooling effects on PV performance and ability to prevent water evaporation in land-constrained areas. Although FPV systems have the potential to become a commercially viable technology, their large-scale deployment remains constrained by uncertainties in thermal behavior, sustainability, and grid-operational variability. This dissertation identifies and characterizes these three key issues and presents an integrated, measurement-based evaluation of a 130 kW FPV installation located at the Passaúna reservoir in Brazil. In the first contribution, four temperature models, including physical and empirical models, were developed and comparatively evaluated to …

Large-Scale Synthesis (75 G/Batch) Of Single-Atom Catalysts For Selective Electrochemical Co2 Reduction To Co And Commercialization Potential Analysis, Carter Racine, Ahmed Badreldin, John Pellessier, Yayun Chen, Shaoqin Chen, Shengyao Wang, Jin Feng, Chengcheng Fei, Yun Hang Hu, Ying Li

Michigan Tech Publications

A promising approach to mitigate climate change is to use renewable electricity to convert carbon dioxide (CO2) emissions into useful products like carbon monoxide (CO) and hydrocarbons. While research has largely focused on developing high-performance catalysts for electrochemical CO2 reduction (eCO2R), scalability of catalyst synthesis remains underexplored. Metal–nitrogen–carbon (M–N–C) catalysts with dominant single-atom sites are among the most effective materials for CO production, but conventional synthesis methods rely on energy-intensive steps and complex pre- and post-treatment processes, hindering scalability and adding negative environmental impacts. This work demonstrates a scalable, single-step synthesis of M–N–C (M = Ni/Fe) catalysts using commercially available …

Hyperdimensional Computing For Edge And Mobile Devices, Colin Eddy Dupuis

Masters Theses

This thesis presents a set of four Hyperdimensional Computing (HDC) frameworks and their Android application implementations to evaluate efficiency and feasibility on resource-constrained devices. These proposed methods target a range of application domains, including wearable health monitoring, mobile malware detection, and activity recognition utilizing both computer vision and multiple sensor streams as input. The proposed frameworks utilize HDC’s simple, lightweight arithmetic operations to convert raw data into high-dimensional representations for use in both binary and multi-class classification schemes. Each method utilizes unique encoding techniques tailored for each use case, demonstrating the flexible nature and specialization HDC offers as an emerging …

Geological Carbon Storage In Deep, Low Permeable Shale Reservoirs: Insights From The Haynesville Formation, Louisiana, Himakshi Goswami

Masters Theses

As global initiatives to mitigate greenhouse gas emissions intensify, depleted unconventional shale gas formations have emerged as critical candidates for large-scale geological carbon storage (GCS). This study investigates the feasibility, dynamic trapping mechanisms, and operational optimization of CO₂ sequestration in deep, low-permeability shale reservoirs, using the Upper Jurassic Haynesville Shale in northwest Louisiana as a comprehensive case study. Compositional reservoir simulation (CMG GEM 2021.10) was performed using the SPE Haynesville dataset, with CO₂ injected at a rate of 10,000 ft³/day across single and multiple depth intervals spanning 11,290–11,314 feet. Results demonstrate that multi-depth injection significantly improves residual trapping, reduces buoyancy-driven …

Jsd: Novel Methodology For Synthetic Data Evaluation, Jeffrey Lane, Scott Wang, Vincent Chang, Bojun Zhang

Computer Science and Engineering Senior Theses

The proliferation of sensitive Personally Identifiable Information (PII) on dark web marketplaces has created an urgent need for robust data protection systems, especially for vulnerable populations such as minors. Traditional PII redaction often fails to identify implicit privacy risks—such as author gender indicators or non-fictional child-related context—hidden within large-scale e-commerce datasets. This paper presents JSD, a dual-stage framework for the detection and protection of sensitive text data. The Detection phase utilizes Transformer and CNN-based architectures and Human-in-the-Loop AI to surpass the "semantic ceiling" of traditional NER approaches, enabling context-aware identification of implicit PII. The Protection phase introduces GASE (Genetic Algorithm …

A Near-Field Communication (Nfc) Multi-Sensor Node With Optimized Read Range And Adaptive Power Management For Remote Monitoring, Rishin Patra, Hilary Scott Nkimbeng Cho, Jin W. Choi

Michigan Tech Publications

This paper presents the design of a batteryless near-field communication (NFC) multi-sensor node with an integrated adaptive power-management system for sensing applications. The work focuses on harvesting energy from a 13.56 MHz NFC field to power an ultra-low power sensing platform. The design consists of the TI RF430FRL152H, an integrated NFC transponder with an embedded MSP430 microcontroller core and ferroelectric random-access memory (FRAM) non-volatile memory. The system combines an ISO/IEC 15693 NFC front end, a tuned loop antenna for optimized power harvesting, and multiple analog and digital sensor interfaces, and a firmware architecture for intermittent harvested energy operation. The aforementioned …

Deep Learning For Affect Recognition: A Comparative Study Of Physiological Sensor-Based And Facial Image-Based Approaches, Ravi Panchal, Ravi Panchal

Master's Theses

This thesis investigates deep learning approaches for affect recognition using wearable physiological signals and facial image data. The sensor-based component evaluates stress and affect recognition on the WESAD dataset using wrist-based physiological windows and examines multiple temporal modeling strategies, including convolutional, recurrent, hybrid CNN-LSTM, attention-based, ensemble, and time-frequency approaches.

The image-based component evaluates hard-label facial expression recognition on AffectNet+ using pre-trained ResNet-50, EfficientNet-B3, and ConvNeXt-Tiny architectures across Easy, Challenging, and Difficult subsets representing different levels of expression ambiguity.

Experimental results show that the proposed Multi-Branch Attention CNN-BiLSTM (MBA-CNN-BiLSTM) model achieves the strongest wearable stress- and affect-recognition performance among the evaluated …

Collagen Gene Expression Is Linked To Aging And Lifespan Extension In C. Elegans, Archer J. Wang, Blake M. Geppert, Daniel Beck, Yanqing Ji, Yiyong Liu

Electrical & Computer Engineering Faculty Scholarship

Collagens, long regarded as structural molecules, also regulate stress responses and longevity. In this study, we analyzed our RNA sequencing data and publicly available gene expression data to define their role in Caenorhabditis elegans aging. Collagen expression broadly declined with age, with 16 collagen genes consistently downregulated across independent studies, establishing collagen downregulation as a genetic hallmark of aging. In contrast, meta-analysis of 66 datasets (128 comparisons between normal and long-lived animals) showed collagen upregulation in 84% of long-lived conditions, identifying collagen induction as a conserved signature of lifespan extension. Using π-values to integrate fold change and significance of …

Evaluation Of Alternative Solvents For Electrospinning Occluded Scaffolds To Model Intracranial Atherosclerotic Disease In Blood Vessel Mimics, Olivia D. Rankin

Master's Theses

Intracranial atherosclerotic disease (ICAD) is characterized by a buildup of fatty plaque within the walls of arteries supplying the brain, resulting in vessel narrowing, restricted blood flow, and increased risk of ischemic stroke. While various treatments exist for ICAD, most are accompanied by high recurrent stroke rates and other adverse events, highlighting the need for further investigation and models for pre-clinical testing. Tissue engineered Blood Vessel Mimics (BVMs), consisting of a polymer scaffold sodded with human vascular cells, serve as physiologically relevant in vitro models for vascular device testing. This thesis focused on the application of alternative solvents to a …

Electrically Evoked Emg Decomposition Using The Perturbative Generalized Series Expansion, William R. Walker

Master's Theses

Electrically evoked electromyography records the muscle's response to nerve stimulation and has been used for clinical assessment of neuromuscular function, as well as treatments such as functional electrical stimulation or stroke rehabilitation. In every muscular contraction, an electrical signal is generated. These signals come from the summation of simultaneously recruited motor units, enabling decomposition techniques to reveal information about motor unit recruitment.  By improving the ability to decompose and analyze these signals, clinical treatments involving neuromuscular electrical stimulation can be optimized and better understood. Much of the research on EMG analysis focuses on voluntary EMG, leaving a gap in the …

Shared Language For Responsible Ai Integration, Asa B. Stone, Mark C. Stone, Alisha Bevins, Jean Claude Niyomugabo, Irene Magara, Jacob Abaare, Derek M. Heeren, Mubarak Abu Zouriq

PRAIRIE: Pioneering Responsible AI for Research, Innovation, and Education

As AI rapidly reshapes how we work and learn, employers increasingly seek graduates who can think before they prompt, exercising judgment under pressure rather than merely producing output. Yet students are praised for AI use in one course and penalized for it in the next, and faculty are left to lead responsibly on shifting ground, with no shared language to guide them.

This paper introduces the PRAIRIE Framework for AI Integration, a shift from reactive gatekeeping toward proactive stewardship. It emerged from a qualitative sentiment analysis of three communities (students, faculty, and industry partners) whose concerns converged on one need: …

Teaching Learning Newsletter Vol 6 Issue 1, Sastra Deemed To Be University

TLC Newsletter

No abstract provided.

Emerging Biomaterials For Next-Generation Wound Healing: From Infection Control To Tissue Regeneration, Unqa Mustafa, Aiman Kaleem, Syeda Zunaira Bukhari, Hamna Riaz, Maryam Iftikhar, Muhammad Usman Munir, Xianghao Xiao, Mingwu Shen, Xiangyang Shi, Mostafa Yazdi, Ayesha Ihsan

Chemical and Biochemical Engineering Faculty Research & Creative Works

Wound healing is a multifactorial biological process that regenerates damaged tissues through a series of molecular and cellular events in a coordinated manner. An interruption in this cascade can lead to impaired healing, especially in diabetic complications, where effective treatment is crucial for controlling infections and promoting tissue regeneration. Recent advances in bioengineering and digital health have catalyzed the development of next-generation wound therapies capable of actively modulating the wound microenvironment, promoting regeneration, and enabling real-time clinical assessment. This review summarizes the fundamentals of physiological wound healing and highlights the significant developments in biomaterial dressings and scaffolds, 3D bioprinting, as …

Pcb Design For Place Cells Vlsi Chip, Gavin Reaksecker, Alex Krier, Joshua Lin

Electrical Engineering

This project presents the design and implementation of a 2 layer test-bench printed circuit board (PCB) for evaluating the functionality of a custom 40-pin VLSI integrated circuit. The objective is to create a reliable and portable platform capable of supplying configurable bias voltages, generating variable input signals, and monitoring both analog and digital outputs. The board integrates adjustable bias networks using potentiometers, digital and analog buffering stages, and optional battery supply operation. The VLSI device under test is mounted in dual-in-line (DIP) sockets to enable rapid replacement and repeated characterization. Dedicated test points are incorporated throughout the PCB to facilitate …

Thermosiphon Lab Experiment, Ella C. Perry, Zach Barry, Madison K. Felton, Lane A. Hunter

Mechanical Engineering

The Cal Poly Mechanical Engineering Department aims to develop a new lab centered on a thermosiphon solar system. This lab will introduce the operating principles of thermosiphons while integrating concepts from heat transfer, fluid dynamics, and thermodynamics. A thermosiphon functions by heating water using thermal energy. The lab will examine the efficiency of this energy transfer. The final lab will be tailored to enhance student learning while ensuring ease of use for the Mechanical Engineering Department.

Hydropower Collegiate Competition 2026, Andres R. Arreola, Sammy D. Taporco, Kathryn E. Tinney, Ahmer S. Dhillon

Mechanical Engineering

The Hydropower Collegiate Competition (HCC) is sponsored by the Department of Energy’s (DOE) Water Power Technologies Office (WPTO) and is meant to offer university students an opportunity to solve complex hydropower challenges, build industry connections, explore career connections, and obtain a greater knowledge of hydropower’s potential in the United States. For this year’s competition, our team investigated a potential in-conduit hydropower site in California. Our work included creating a design package for a crossflow turbine related to our selected site and completing the community connections challenge. We also completed a siting and design report, community connections report, design and siting …

Elastic Actuator For Robotic Leg, Bruce Berg, Allan Pham, Madeline Slater, Sofie Zalatimo

Mechanical Engineering

The Cal Poly Legged Robots Group (CPLRG) is developing a 12 degree of freedom robot with the goal of eventually performing highly dynamic movements such as jumps and flips. During such movements, large impact forces will be experienced by the leg, potentially resulting in damage to physical components such as the motors. The scope of this project is to integrate elastic elements into the quadruped legs to reduce shock loads on the motors and improve the efficiency of the legs through energy storage. The key stakeholders for this project are Professor Charlie Refvem and Dr. Simon Xing. Other stakeholders include …

Thermodynamic Modeling Of Ph Impacts On Subsurface Microbial Consortia, Jackfin K C

Department of Agricultural and Biological Systems Engineering: Dissertations, Theses, and Student Research

Underground hydrogen storage is affected by microbial consumption, and the different minerals present in the subsurface. However, most studies consider either biotic or abiotic factors in isolation and hence, the conditions that drive a self-sustaining storage remain poorly understood. This thesis uses a genome-informed thermodynamic model developed by Kharel et al. (2026) in which pH is the central variable coupling hydrogenotrophic microbial metabolism, inter-species competition, and carbonate mineral buffering. The model includes four hydrogen-consuming species: methanogen (Methanobacterium), acetogen (Acetoanaerobium), aerobic acetate oxidizer (Pseudomonas stutzeri), and sulfate reducer (Nitratidesulfovibrio) by conditioning each organism's …

Computational Modeling To Evaluate Bipolar Flexible Electrode Designs For Use In Sciatic Nerve Stimulation, Krystyna S. Allman

Master's Theses

Peripheral nerve stimulation is clinically used to manage pain, rehabilitate motor function, and promote nerve regeneration. The sciatic nerve is often studied for stimulation due to its accessibility and clinical relevance. A conventional nerve cuff electrode is the least invasive method for nerve stimulation, but the mismatch of mechanical properties of the electrode with the nerve tissue can cause damage to the nerve and the electrode itself. This study investigated a novel bipolar, gold nanowire-based cuff electrode design and its ability to selectively activate fibers in the rat sciatic nerve at varying interelectrode spacings. In COMSOL, A finite element model …

Skip The Grid: Bringing Solar Energy To The Navajo Nation, Makaela L. Zavala

Construction Management

Skip the Grid is an interdisciplinary service project in which California Polytechnic State University (Cal Poly) students partner with Heart of America and SOLV Energy to install off-grid solar systems for families in the Navajo Nation and Hopi Reservation. The project aims to address energy inequity by providing reliable electricity for lighting, refrigeration, and essential daily needs. This paper focuses on the communications and logistics planning required to support a large-scale service project involving over twenty students and multiple partner organizations. The methodology included coordinating travel, organizing team assignments, managing documentation, and maintaining communication throughout the trip. The project resulted …

Computational Insights Into Nucleosome Dynamics In Epigenetics Using Molecular Dynamics Simulations, Rutika Patel

Dissertations, Theses, and Capstone Projects

Nucleosome core particles (NCP) are the building blocks that form a highly organized and compact chromatin structure. Nucleosomes package DNA in the nucleus of eukaryotic cells. The NCP consists of about 147 base pairs of DNA wrapped around the histone octamer, with 1.65 superhelical turns in a left-handed manner. The histone octamer is composed of two copies of H3, H4, H2A, and H2B. Together with histone H1 and linker DNA, they further assemble into a higher-order chromatin structure. The nucleosome complex is stabilized by electrostatic interactions between positively charged histone residues and the negatively charged DNA backbone. To effectively access …

Can Generative Ai Make Farming Decisions? Current Status And Future Pathways: A Case Study In Row Crop Production With Chatgpt, Nipuna Chamara, Yufeng Ge, Joe Luck, Yu Pan, Saleh Taghvaeian, Cory Walters, Christopher Proctor, Daran Rudnick, Daren Redfearn

Department of Agricultural and Biological Systems Engineering: Faculty Publications

The agricultural decision-making process is experience-based, knowledge-dependent, time-sensitive, complex, and driven by historical data. Planting, fertilization, irrigation, and chemigation are key categories in farm decision-making, and currently there is no one-shot decision-support tool that covers all these activities. Generative Artificial Intelligence (AI) models are more advanced than traditional machine learning and deep learning models. These models have been trained on vast amounts of data from the internet, allowing them to accept unstructured data in various forms and generate human-like text, solutions to problems, and scenario predictions. Given this capability, we became interested in exploring the potential of generative AI in …

Design And Characterization Of A Pulsed Electric Field Chamber For Microalgae Lysis, Connor Strutin

Electrical Engineering

Microalgae are a promising renewable source of biofuel due to their high lipid content and rapid growth rates; however, algae cells must be electroporated (lysed) to release these lipids. The system developed in this project applies short (40 μs–10 ms), high-intensity (up to 33 kV/cm) pulsed electric fields (PEF) across cell membranes to enable electroporation.

Our lab-scale PEF chamber generates uniform, high-intensity electric fields using parallel-plate electrodes with sub-millimeter spacing. The system is designed to efficiently lyse microalgae cells for lipid extraction and biofuel production.

Test Bench Pcb Design For A Vlsi Grid Cell Chip, Nicholas Bruk, Jason Alexandar

Electrical Engineering

This report presents the design, implementation, and validation of a custom printed circuit board (PCB) test bench for a VLSI grid cell emulation chip. The final board provides two independently adjustable 5V supplies using LM317 linear regulators, eleven potentiometer-controlled bias voltages, high-impedance buffering of analog outputs via an MCP6022 dual operational amplifier, and buffering of digital outputs using a 74HC244 buffer IC. The design includes a 40-pin DIP socket for the VLSI chip, extensive test-point headers for probing, and a 9V battery input for portable operation. Five fully functional boards were fabricated using ExpressPCB and assembled with through-hole components. An …

Design And Parametric Testing Of A Transimpedance Amplifier For Low-Power Biomedical Applications, Stanlon Tan, William Chung, Brandon Wu

Electrical Engineering

This project developed and evaluated an optical sensing system for detecting changes associated with glucose concentration. The system combined a laser-diode, cuvette sample holder, photodiode, resistive-feedback transimpedance amplifier, high-resolution analog-to-digital converter, and microcontroller. Parametric testing evaluated the effects of input current and feedback resistance on transimpedance gain, output range, and linearity. Firmware was developed to configure the ADC, average repeated conversions, monitor measurement variation, convert raw digital counts into voltage using a source-meter calibration equation, and compare sample measurements with a water reference. A cuvette enclosure maintained alignment between the laser-diode, sample, and photodiode while reducing external optical interference. Testing …

Simulation Of Silicon Neurons With Memristive Synapses For Ai Accelerators, Marcus Ivey, Kelvin Shi

Electrical Engineering

This project seeks to design and simulate a neuromorphic spiking neural network (SNN) that implements the logical AND and logical OR operation through the interaction of a Leaky Integrate-and-Fire (LIF) output neuron and memristive synapses modeled using the Biolek formulation. Two pulsed inputs are transmitted through memristive devices whose conductance serves as the synaptic weights. A supervised Hebbian training strategy, implemented in MATLAB, is employed to adjust the synaptic conductance according to the Hebbian delta rule. The proposed framework demonstrates how elementary logical computation may arise from biologically motivated learning processes embedded in hardware-realistic neuromorphic circuits. The study provides a …