Honey bees are vital for our food production and ecosystem due to their critical pollination services. The beekeepers in the United States and worldwide have reported significant colony losses for over fifteen years. Several stressors are implicated in these colony declines, including parasites, diseases, poor nutrition, and pesticide exposure. There...
Autonomous robotic agents are on their way to becoming in-home personal assistants, construction assistants, and warehouse workers. The degree of autonomy of such systems is reflected by the manner in which we specify goals to them; the abstraction of low-level commands to high-level goals goes hand-in-hand with increased autonomy. In...
Learning to recognize objects is a fundamental and essential step in human perception and understanding of the world. Accordingly, research of object discovery across diverse modalities plays a pivotal role in the context of computer vision. This field not only contributes significantly to enhancing our understanding of visual information but...
The utility of high-throughput, computational screening has become an invaluable asset to the field of materials science. In the hierarchy of computational methods, the most accurate methods are often the most computationally expensive. However, as both the efficiency and fidelity of numerical techniques advance, high-quality screening of large materials datasets...
Multiagent learning offers a rich framework to address challenging real-world problems such as remote exploration and healthcare coordination, which require autonomous agents to express elaborate interactions. To be effective in such systems, agents must collectively reason about and pursue high-level, long-term, and possibly nebulous objectives while adapting their strategy to...
To facilitate the design of Natural and Nature-Based Features (NNBF) for flood protection, this thesis expands an existing engineering design methodology to NNBF systems. The existing approach is a Level III reliability method for the performance-based design of traditional coastal engineering systems. The expanded methodology incorporates uncertainties inherent to both...
Toxin production by cyanobacterial harmful algal blooms (cyanoHABs) in freshwater systems has lasting ecological and human impacts. Nutrients, light availability, hydrology, and microbial community composition impact the frequency and intensity of toxic cyanoHABs. Climate change will exacerbate toxic cyanoHABs, making real time and predictive monitoring a vital tool for managing...
We present a tool that converts any image into a painterly rendered one, or one that looks as though it was hand-painted. To do this, we implemented the Sobel filter to calculate the edge field that is used to create streamlines, which serve as the foundation for brush strokes. We...
The advancement of artificial intelligence (AI) has led to transformative developments across multiple sectors, fostering innovation and redefining our interactions with technology. As AI matures and becomes integrated into society, it offers numerous opportunities to address global challenges and revolutionize a wide array of human endeavors. These advances are driven...
This dissertation delves into understanding, characterizing, and addressing dataset shift in deep learning, a pervasive issue for deployed machine learning systems. Integral aspects of the problem are examined: We start with the use of counterfactual explanations in order to characterize the behavior of deep reinforcement learning agents in visual input...
Various natural language processing (NLP) tasks necessitate deep models that are fast, efficient, and small based on their ultimate application at the edge or elsewhere. While significant investigation has furthered the efficiency and reduced the size of these models, reducing their downstream latency without significant trade-offs remains a difficult task....
The body of work aims to contribute to the area of Quantitative analysis in Environmental Sciences, and is focused on the microbiome. The underlying theme for the dissertation is methods and workflow. The unique bioinformatics workflow used for the analysis of genomic data was used to answer distinct and pressing...
In recent years, model-free Deep Reinforcement Learning (RL) has become an increasingly popular alternative to more traditional model-based or optimization-based control methods in solving robotic legged locomotion. However, deploying RL in the real world can be a significant undertaking. Constructing reward functions which compel controllers to learn the desired behavior...
The literature on first-generation South Asian American (SAA) mental health is limited despite the increased focus of studies on help-seeking behaviors and subjective well-being over the past decade. Therefore, we designed a web-based survey seeking to address two research questions. Research Question 1 informed Study 1 of this dissertation project:...
Juvenile Chinook Salmon (Oncorhynchus tshawytscha) leave the natal reach at different times and move downstream at different rates which can increase their productivity by allowing them to utilize habitats on different temporal scales and spreading risk of localized stochastic events. This life history diversity can also allow fish to adapt...
Simultaneous speech translation (SimulST) is widely useful in many cross-lingual communication scenarios, including multinational conferences and international traveling. Since text-based simultaneous machine translation (SimulMT) has achieved great success in recent years. The conventional cascaded approach for SimulST uses a pipeline of streaming ASR followed by simultaneous MT but suffers from...
Annual rates of prespawn mortality (PSM) in adult Chinook salmon (Oncorhynchus tshawytscha) trapped and transported upstream of dams in the Willamette River basin are high (often >40%) and could limit the ability to restore natural populations of spring Chinook salmon if not reduced. Improvements at the U.S. Army Corps of...
Learning latent space representations of high-dimensional world states has been at the core of recent rapid growth in reinforcement learning(RL). At the same time, RL algo- rithms have suffered from ignored uncertainties in the predicted estimates of model-free or model-based methods. In our work, we investigate both of these aspects...
Once abundant in their native range, Pacific salmon species (Oncorhynchus spp.) were widely distributed across the northern Pacific Rim from South Korea and Japan to the Sacramento River in California. Remaining populations are subject to population-level threats, including pathogens. The freshwater parasitic copepod Salmincola californiensis is associated with the reduced...
Livestock grazing is the prominent land use in Wyoming big sagebrush (Artemisia tridentata ssp. wyomingensis [Beetle & A. Young] S.L. Welsh) steppe and has been present since the late 1800’s. There have been calls to remove livestock grazing from rangelands as historic grazing practices resulted in the degradation of some...
Robotic Bipedal locomotion holds the potential for efficient, robust traversal of difficult terrain. The difficulty lies in the dynamics of locomotion which complicate control and motion planning. Bipedal locomotion dynamics are dimensionally large problems, extremely nonlinear, and operate on the limits of actuator capabilities, which limit the performance of generic...
Mental health disorders are the leading cause of disability worldwide. The strong need for mental health services has prompted intensive global efforts to develop, evaluate, and deliver effective mental health treatment, especially for low- and middle-income countries. The counseling profession in the United States has responded to this global need...
The purpose of this study was to explore the lived experiences of school-based agriculture education (SBAE) teachers who self-identified as blended pedagogues. This study specifically focused on SBAE teachers' beliefs and how those beliefs influence their blended teaching classroom practice. Teacher beliefs are personal, subjective, and temporally and contextually stable....
Pre-spawning mortality (PSM) presents a major problem for population recovery of spring Chinook salmon (Oncorhynchus tshawytscha) in the Willamette River basin. In certain reaches and years, PSM has exceeded 90%. Histology has been used as the primary diagnostic method to investigate PSM in the Chinook Salmon, and a collection of...
Hop (Humulus lupulus L. var. lupulus) is a diploid, dioecious plant with an extensive history of cultivation and use in brewing, as a textile, and for its therapeutic properties. Hop is prized for its ability to produce a variety of aromatic and flavor compounds, as well as compounds with anti-microbial...
The use of board games for teaching introductory computer science is a promising recent avenue of research. The goal is to introduce computing concepts through their use in the implementations of simple games, thereby keeping students engaged through their learning process. However, there is a gap between students' algorithmic descriptions...
We do not know how to align a very intelligent AI agent's behavior with human interests. I investigate whether—absent a full solution to this AI alignment problem—we can build smart {\ai} agents which have limited impact on the world, and which do not autonomously seek power. In this thesis, I...
Multiple wave energy converter (WEC) archetypes exist with varying power take-off (PTO) designs in the attempt to maximize ocean energy harnessed and converted into useful energy. The pendulum PTO is popular for its simple, yet robust functionality due to its internally located components and simple operation. Additionally, this PTO does...
The grid geometry plays a vital role in the performance of gridded ion thrusters. It can dramatically impact the erosion rate and thrust. Designers push the limits of electric in-space propulsion by optimizing grid parameters through simulation. At the same time, computational models of plasma physics are intensive. A baseline...
Autonomous agents that sense, decide, act, and coordinate effectively with each other are critical in many real-world domains such as autonomous driving, search and rescue missions, air traffic management, and underwater or deep space exploration. All such domains share a key difficulty: though high-level mission goals are clear to system...
Top-performing approaches to embodied AI tasks like point-goal navigation often rely on training agents via reinforcement learning over tens of millions (or even billions) of experiential steps – learning neural agents that map directly from visual observations to actions. In this work, we question whether these extreme training durations are...
Within the sagebrush steppe ecosystem, invasive annual grasses are of growing management concern as they outcompete native vegetation, change the fundamental nutrient cycling processes, decrease biodiversity, and increase frequency of wildfires. The most widely used and effective management tool to decrease invasive annual grass abundance, is the use of pre-emergent...
Reinforcement learning has emerged as a popular tool for solving control tasks, with multiple works focusing on the complex and dynamic task of locomotion. However, the naive application of reinforcement learning to this problem often produces maladaptive policies that exploit the model or reward function. This results in behavior that...
The climate of the Pacific Northwest is in flux, and existing forest ecosystems are stressed and poised to shift in fundamental ways, with or without human intervention. This dissertation probes the nature of forest responses to environmental change through investigations of morphology and genetics of three species of alder co-occurring...
The COVID-19 pandemic has shed a light on the need for people to trust in medical science. With the need for 70% of Americans to be vaccinated to achieve herd immunity but 30% have reported vaccine hesitancy, now more than ever do we need to redouble our efforts to ensure...
All animals have developed the critical ability to detect, respond to, and detoxify a large array of environmental chemicals and stressors that can cause adverse health effects. Important examples of landmark contaminants around the world are polycyclic aromatic hydrocarbons (PAHs) and dioxins, both of which can act via the aryl...
Explosively erupting volcanoes and megathrust earthquakes (Mw 8+ magnitude) occur at subduction zones and adjacent volcanic arcs. Volcanic eruptions are observed occurring close in time to megathrust earthquakes in the historical record from at least the 18th century CE to present in locations globally, including Japan in 1707 CE (Chesley...
Annual bluegrass (Poa annua L.) is a prolific annual grassy weed that can be found worldwide in most landscapes. Known for its ability to produce seedhead at low heights (0.32 cm), thrive in over-maintained areas, and germinate anywhere, annual bluegrass is a highly invasive weed. Due to annual bluegrass’ persistence,...
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Alec R. Kowalewski
Annual bluegrass (Poa annua L.) is a prolific annual grassy weed that can
Most energy policies that are implemented in the United States dictate how energy is produced, distributed, and consumed, but policies generally neglect to fully investigate how these decisions impact population health. Individuals who live near energy sector components are often different to those that reside further away and change over...
The agricultural industry in the Western United States continues to possess issues of overwatering, accounting for over 80% of consumed water per year in the country. While technologies such as satellite imaging and sensor networks have slowly improved irrigation Best Management Practices to reduce superfluous water consumption, limitations associated with...
Tracking footwear wear patterns is vital to the footwear industry. In the game of tennis, there are several court surfaces that produce unique wear patterns on footwear that are constantly changing according to the following factors: level of competition, level of experience, coordination, age, height, weight, and more. By tracking...
Dynamic bipedal locomotion is among the most difficult and yet relevant problems in modern robotics. While a multitude of classical control methods for bipedal locomotion exist, they are often brittle or limited in capability. In recent years, work in applying reinforcement learning to robotics has lead to superior performance across...
Every year in North America homes in the Wildland-Urban interface (WUI) are destroyed by wildfires. The creation of defensible space around homes in the WUI, through the management of vegetation can help mitigate some of the risk posed by fire. While many homeowners recognize the need for defensible space around...
The rise of digital streaming has largely impacted the way the average listener consumes music. Consequentially, while the role of album art has evolved to meet the changes in music technology, it is hard to measure the effect of digital streaming on modern album art. This research seeks to determine...
Grapevine red blotch disease (GRBD) is caused by Grapevine Red Blotch Virus, a virus in the Geminiviridae family. Observable symptoms can manifest in red cultivars, such as leaf blades that are partially to fully red, red veins, and different combinations of the two. Previous research has shown evidence of reduced...
We describe spatio-temporal random processes using linear mixed models and discuss estimation, inference, and prediction under this formulation. We show how many commonly used covariances are special cases of this more general framework and pay special attention to the separable and product-sum covariances. The linear mixed model formulation facilitates straightforward...
Managing Microdochium patch on intensively manicured annual bluegrass putting greens is a challenge for turfgrass professionals in cool-humid climates similar to the Pacific Northwest. Fungicides are the predominant means to mitigate damage caused by this fungal pathogen, however pesticide restrictions are making it even more challenging to suppress Microdochium patch....
This report describes results of the third year of an evaluation of the online presence and prices of companies on the Oregon coast that offer tours for kayaking, salmon fishing and whale watching. It also compares those 2019 results with findings from 2017 and 2018. Our aim was to see...
As robots are becoming more relevant to our lives, they are still having hard time accomplishing simple tasks such as picking and lifting. Problems that include environmental constraints, pose uncertainties and hardware noises restrain robots for grasping an object successfully from a perceivable environment. Many have looked into finding best...
The bioavailability of chemical compounds in the marine environment fundamentally influences the growth and physiology of microorganisms. Organic and inorganic chemicals that are produced by some marine plankton can be consumed by other plankton for energy production, growth, or to initiate essential physiological processes. Cultures of the diatom Thalassiosira pseudonana,...
Many database users are not familiar with formal query languages, the concept of schema, or the exact content of their database. Thus, it is challenging for these users to formulate their information needs over semi-structured and structured databases. To address this problem, researchers have proposed usable query interfaces over which...
Nitrogen is a crucial nutrient required by yeast to successfully complete alcoholic fermentation. In particular, the concentration of yeast assimilable nitrogen (YAN) influences fermentation kinetics and the production of a range of volatile aroma compounds, both desirable and undesirable. YAN is naturally present in the grape, but producers can boost...
Anadromous salmonid populations in the Pacific Northwest have declined over the past 150 years. In 1999, wild spring Chinook salmon (Oncorhynchus tshawytscha) were federally listed as threatened within the Willamette Basin, OR. Currently, practices to restore wild populations in the upper Willamette Basin involve trapping wild adults at the base...
Anomaly detection has been used in variety of applications in practice, including cyber-security, fraud detection and detecting faults in safety critical systems, etc. Anomaly detectors produce a ranked list of statistical anomalies, which are typically examined by human analysts in order to extract the actual anomalies of interest. Unfortunately, most...
There is growing commercial interest in the use of multiagent systems in real world applications. Some examples include inventory management in warehouses, smart homes, planetary exploration, search and rescue, air-traffic management and autonomous transportation systems. However, multiagent coordination is an extremely challenging problem. First, information relevant for coordination is often...
Today’s technology-based society makes information more accessible than ever, in turn creating a growing demand for a workforce that has the skills necessary to utilize data. Contributing to this influx of data is Oregon State University (OSU), who was selected to guide the design and construction process of three Regional...
Studies on prison contracting have typically focused on the privatization of entire facilities and carceral services offered to inmates. There has been limited research, however, as to how political ideology influences the extent to which state prisons contract out health care services. There also appears to be a need for...
This project investigates the ways in which conceptions of women and gender in Islam are articulated within discourses of modernity, freedom, and justice. Considering the ways in which third-world literature and scholarship interacts with, and creates, multiculturalist discourse, this paper examines representation, spokesmanship, and the role of the cosmopolitan humanities...
For mid-rise and high rise buildings, slender reinforced concrete (RC) structural walls are commonly used as the main structural elements to resist lateral applied loads in high seismically areas around the globe. These RC structural walls can provide substantial deformation capacity, stiffness, and lateral strength through the contribution of their...
Marine natural products possess an abundance of diverse chemical scaffolds with unique biological activities. By targeting unusual or unique microbial environments within varying marine ecologies we can continue to discover novel chemistry with potentially new molecular targets. The research presented here is focused on exploring unusual chemical ecologies and the...
The waterborne, myxozoan parasite Ceratonova shasta is endemic to the Pacific Northwest and can be lethal to its secondary salmonid host, including the culturally, economically, and recreationally important spring Chinook salmon (Oncorhynchus tshawytscha) of the Deschutes River, OR. Previously described genotypes of C. shasta exhibit specificity with their salmonid hosts....
Political Polarization in the United States is at a level higher today than at any point in the past few decades. Possible causes of this rise in polarization have been provided from various sources, including explanations such as mass media and income inequality. Through historical analysis and a wide literature...
Diversity literary awards and other sources were used to create a list of high-quality titles written by and about underrepresented groups. This list was used to assess the diversity and inclusiveness of the library collections of a land-grant university. Gaps in the collection and acquisition processes were identified and will...
Research Summary: Private correctional firms are political actors. They work to create favorable conditions to market their services. At the same time, they are constrained by external political forces, including political parties, social movements, and public opinion. This article reviews what we know about the reciprocal relationship between the private...
This report, required by state law under HB3543, provides a comprehensive assessment of the state of science of climate change as it pertains to Oregon, covering the physical, biological, and social dimensions. The first chapter summarizes the current state of knowledge of physical changes in climate and hydrology, focusing on...
Although deep reinforcement learning agents have produced impressive results in many domains, their decision making is difficult to explain to humans. To address this problem, past work has mainly focused on explaining why an action was chosen in a given state. A different type of explanation that is useful is...
Reestablishing native perennial vegetation in annual grass-invaded rangelands is critical to restoring ecosystems, especially following wildfires. Controlling invasive annual grasses is essential to increasing revegetation success; however, pre-emergent herbicides used to control annual grasses prohibit immediate seeding due to non-target herbicide damage. Thus, seeding is often delayed one year following...
The south central Chilean margin is one of the most seismically active subduction zones on Earth, generating some of the largest earthquakes on the planet, including the largest ever recorded in 1960 near Valdivia, Chile (Mw 9.5). Using the 15 km streamer and 6600 in3 tuned seismic airgun array aboard...
The rapid population growth in large urban cities has led to an unprecedented increase in both the number and the diversity of wireless devices and applications with varying quality of service requirements in terms of latency and data rates. LinkNYC is an example of an urban communication network infrastructure, which...
In this thesis, we propose a Blockchain-based distributed protocol for enabling deployment of dynamic, on-demand IoT networks. Specifically, the proposed protocol leverages Blockchain technology to: (i) enable distributed and secure authentication, registration, and management of IoT devices; (ii) provide fast discovery of IoT resources and scalable and secure instantiation of...
In open set recognition, a classifier must label instances of known classes while detecting instances of unknown classes not encountered during training. To detect unknown classes while still generalizing to new instances of existing classes, this thesis introduces a dataset augmentation technique called counterfactual image generation. This approach, based on...
Infections of fungi by mycoviruses are often symptomless but sometimes also fatal, as they perturb sporulation, growth, and, if applicable, virulence of the fungal host. Hypovirulence-inducing mycoviruses, therefore, represent a powerful means to defeat fungal epidemics on crop plants. Infection with Fusarium graminearum virus China 9 (FgV-ch9), a double-stranded RNA...
3D laser scanning has been used extensively in engineering reconnaissance surveys to capture perishable data in an efficient, reliable, and precise manner. Many insights on damage can be obtained from the data through various methods of post-processing; however, many of these techniques are often labor intensive. This delay reduces the...
The growing need for accurate forest biomass and carbon estimates has sparked a recent re-examination of direct volume estimation and taper modeling techniques. Additionally, the need for increased precision of biomass and carbon estimates drives a need to improve the techniques used to evaluate these models. Taper equations have an...
Cancer cell migration in three-dimensional extracellular matrix is a major cause of death for cancer patients. Although extensive studies have elucidated detailed mechanism of single cell 3D invasion and cell-ECM interaction, 3D collective cancer invasion is still poorly understood. 3D collective migration models have unveiled unexpected degrees of diversity and...
The overall focus of this thesis is on the distribution of specific lipids and membrane proteins of the external and internal membranes of plant cells, in the context of the roles that those lipids and proteins may play in microbe-plant interactions. The work includes the development of several new tools,...
Recent reports at the state, national, and international level have called for increased earthquake and tsunami education to increase knowledge of the causes of these hazards, risks from these hazards, and preparedness measures to reduce risk and increase resilience to these hazards. One recommended approach to meet this need is...
This dissertation reports on four related, though separate projects. The first project details the process of carrying out a digitally augmented soil mapping (DSM) effort alongside an ongoing survey in Oregon's Ochoco National Forest (ONF) using a Random Forest algorithm. The second chapter describes a initial soil survey in Oregon's...
Rising human populations and climate change are putting increasing demands on our already-limited freshwater sources. In response to these concerns, homeowners and municipalities have been encouraged to replace turfgrass – a plant with relatively high irrigation needs – with drought-tolerant plants that do not require frequent irrigation. However, the many...
This dissertation addresses object recognition in challenging settings, where distinct object classes are visually very similar (e.g., species of birds and insects) and/or access to training examples of object classes is limited (e.g., due to the associated high costs of data annotation). In this dissertation, we present a variety of...
The role of ground motion duration on the seismic performance of civil engineering structures remains unclear. Thus, the role of earthquake strong ground motion duration is assessed in a three manuscript thesis, which includes: (1) assessment of the effects of ground motion duration on the seismic performance of a model...
Ornamental landscapes require considerable amounts of inputs, including but not limited to irrigation, mowing or pruning, fertilization, and pest management. However, school systems have limited budgets, which reduce their access to resources and labor hours. Therefore, the objective of this project is to identify ground covers that can compete with...
The Columbia River delivers the greatest amount of freshwater to the coastal ocean along the U.S. Pacific coast. This freshwater forms the Columbia River plume, a mesoscale plume with significant implications on coastal ocean physical, biological, chemical, and geological processes. The plume is transported south and offshore during the upwelling...
Most of today’s Internet of Things (IoT) applications assume that data will be moved offdevices into centralized cloud platforms. While existing IoT systems leverage cloud-based analytics for meaningful data reasoning, the assumption that data should always be moved off the devices is problematic. The amount of data to be moved...
Reasoning about 3D shape of objects is important for successful computer visionapplications in robotics, 3D rendering and modeling. In this thesis, we address twoproblems { First, given an image, we generate 3D shape of the foreground object thatappears in the image. Second, we predict the class label of the input...
Perennial ryegrass (Lolium perenne L.) is a widely grown cool season, bunch type, short lived perennial grass that is native to Europe, Asia, and North Africa, but has been adapted globally. Perennial ryegrass is quick to establish, has a long growing season, and produces high seed yield and forage or...
The Pacific Northwest (Oregon and Washington in the United States and British Columbia in Canada) is one of the major producers of red raspberry (Rubus idaeus L.) and blueberry (Vaccinium corymbosum L.) in the world. The expansion of growing area with these crops has resulted in the emergence of new...
Vacuum arc remelting (VAR) is a secondary melting process for exotic alloys. The main purpose of this process is to increase the input ingot’s physical and chemical homogeneity. This is accomplished through the application of a high current that melts the material through the emergence of electrical arcs that induce...