Digital Commons Network^™

Statistical Investigation Project, Ahmad Almomani Ph.D.

School of Arts & Sciences

The assignment was developed by SUNY Geneseo Professor Ahmad Almomani for the course, MATH 242: Elements of Probability and Statistics in the spring 2026 semester.

The objective for this assignment is that students will apply statistical methods to analyze real-world data and communicate meaningful conclusions.

Modeling And Autonomous Control Systems For A Delivery Drone Application, Dana Helal Alnuaimi

Theses

This thesis focuses on the development of a multi-drone navigation and control system, aiming to enhance payload capacities beyond the limits of single-drone systems. By integrating multiple drones to work collaboratively as a unit, this study addresses the challenges associated with lifting and transporting heavier payloads.

The primary objective is to design and evaluate a multi-drone system capable of working in tandem to transport larger payloads efficiently. The research aims to develop robust control algorithms, supported by system identification for dynamic modeling, and navigation strategies to enable effective coordination between drones.

The study employs a combination of simulation and real-world …

Agentspec: Customizable Runtime Enforcement For Safe And Reliable Llm Agents, Haoyu Wang, Christopher M. Poskitt, Jun Sun

Research Collection School Of Computing and Information Systems

Agents built on LLMs are increasingly deployed across diverse domains, automating complex decision-making and task execution. However, their autonomy introduces safety risks, including security vulnerabilities, legal violations, and unintended harmful actions. Existing mitigation methods, such as model-based safeguards and early enforcement strategies, fall short in robustness, interpretability, and adaptability. To address these challenges, we propose AgentSpec, a lightweight domain-specific language for specifying and enforcing runtime constraints on LLM agents. With AgentSpec, users define structured rules that incorporate triggers, predicates, and enforcement mechanisms, ensuring agents operate within predefined safety boundaries. We implement AgentSpec across multiple domains, including code execution, embodied agents, …

Hypersiniel: Guaranteed Output Delivery Comes (Almost) Free In Private Delegation Of Zksnarks, Yunbo Yang, Yuejia Cheng, Junkai Liang, Kailun Wang, Xuanming Liu, Xiaoguo Li, Jianfei Sun, Jiachen Shen, Xiaolei Dong, Zhenfu Cao, Meng Hao, Guomin Yang, Deng, Robert H., Kui Ren

Research Collection School Of Computing and Information Systems

Zero-knowledge Succinct Non-interactive Argument of Knowledge (zkSNARK) is a powerful cryptographic primitive that enables a prover to convince a verifier that something is true without leaking the private witness.Current zkSNARKs face significant computational costs in generating proofs, which restricts their use in areas like private payments, confidential smart contracts, and anonymous credentials. Private delegation offers a practical solution by outsourcing the heavy computation to powerful external workers without leaking any private information. In this work, we propose HyperSiniel, an efficient private delegation framework for general zkSNARKs that achieves a new feature called guaranteed output delivery (GOD). HyperSiniel is designed to …

Bridging Draft Policy Misalignment: Group Tree Optimization For Speculative Decoding, Shijing Hu, Jingyang Li, Zhihui Lu, Pan Zhou

Research Collection School Of Computing and Information Systems

Speculative decoding accelerates large language model (LLM) inference by letting a lightweight draft model propose multiple tokens that the target model verifies in parallel. Yet existing training objectives optimize only a single greedy draft path, while decoding follows a tree policy that re-ranks and verifies multiple branches. This draft policy misalignment limits achievable speedups. We introduce Group Tree Optimization (GTO), which aligns training with the decoding-time tree policy through two components: (i) Draft Tree Reward, a sampling-free objective equal to the expected acceptance length of the draft tree under the target model, directly measuring decoding performance; (ii) Group-based Draft Policy …

Dragging With Geometry: From Pixels To Geometry-Guided Image Editing, Xinyu Pu, Hongsong Wang, Jie Gui, Pan Zhou

Research Collection School Of Computing and Information Systems

Interactive point-based image editing serves as a controllable editor, enabling precise and flexible manipulation of image content. However, most drag-based methods operate primarily on the 2D pixel plane with limited use of 3D cues. As a result, they often produce imprecise and inconsistent edits, particularly in geometry-intensive scenarios such as rotations and perspective transformations. To address these limitations, we propose a novel geometry-guided drag-based image editing method—GeoDrag, which addresses three key challenges: 1) incorporating 3D geometric cues into pixel-level editing, 2) mitigating discontinuities caused by geometry-only guidance, and 3) resolving conflicts arising from multi-point dragging. Built upon a unified displacement …

Dreamcs: Geometry-Aware Text-To-3d Generation With Unpaired 3d Reward Supervision, Xiandong Zou, Ruihao Xia, Hongsong Wang, Pan Zhou

Research Collection School Of Computing and Information Systems

While text-to-3D generation has attracted growing interest, existing methods often struggle to produce 3D assets that align well with human preferences. Current preference alignment techniques for 3D content typically rely on hardly-collected preference-paired multi-view 2D images to train 2D reward models, when then guide 3D generation — leading to geometric artifacts, such as the Janus face problem and geometric incompleteness, due to their inherent 2D bias. To address these limitations, we construct 3D-MeshPref, the first large-scale unpaired 3D preference dataset, featuring diverse 3D meshes annotated by a large language model and refined by human evaluators. We then develop RewardCS, the …

From Spatial To Actions: Grounding Vision-Language-Action Model In Spatial Foundation Priors, Zhengshen Zhang, Hao Li, Yalun Dai, Zhengbang Zhu, Lei Zhou, Chenchen Liu, Dong Wang, Francis E. H. Tay, Sijin Chen, Ziwei Liu, Yuxiao Liu, Xinghang Li, Pan Zhou

Research Collection School Of Computing and Information Systems

Existing vision-language-action (VLA) models act in 3D real-world but are typically built on 2D encoders, leaving a spatial reasoning gap that limits generalization and adaptability. Recent 3D integration techniques for VLAs either require specialized sensors and transfer poorly across modalities, or inject weak cues that lack geometry and degrade vision-language alignment. In this work, we introduce FALCON (From Spatial to Action), a novel paradigm that injects rich 3D spatial tokens into the action head. FALCON leverages spatial foundation models to deliver strong geometric priors from RGB alone, and includes an Embodied Spatial Model that can optionally fuse depth, or pose …

April 2026 News Releases, University Of Montana--Missoula. Office Of University Relations

University of Montana News Releases, 1928, 1956-present

No abstract provided.

Low-Complexity Structured Neural Networks And Their Usage In Image And Signal Processing, Adam Kuzmicki

Doctoral Dissertations and Master's Theses

Conventional neural networks face significant challenges due to high computational costs, large parameter counts, and reliance on backpropagation, which restricts their application in resource-constrained and real-time settings. To address these challenges, this thesis proposes three structured neural network (NN) architectures grounded in the theories of sparse and self-contained factorizations of transforms, with applications to image compression, reconstruction, classification, encryption, and also adaptive wideband multi-beam beamforming. The first neural network architecture, named DCTrix-Net, replaces conventional spatial con- volution with highly sparse factorization of the discrete Cosine transform (DCT) complemented by Toeplitz-structured weight initialization, achieving at least 97% FLOP reduction over CNNs, …

Analysis Of Lateral Load Distribution In Steel Girder–Concrete Deck Bridges: Influence Of Diaphragm Behavior Under Wind And Vessel Collision Loads, Bhupesh Chand

Master's Theses

Bridges are critical components of modern transportation infrastructure, and their structural response under extreme loading conditions is essential for ensuring safety and serviceability. A key challenge in current bridge engineering practice is accurately understanding and predicting the lateral load distribution in steel girder–concrete deck bridge systems subjected to wind and vessel collision loads. While the AASHTO LRFD Bridge Design Specifications provide well-established provisions for vertical load distribution, magnitudes and load combinations (Article 3.4), they do not explicitly define lateral load distribution factors (LLDFs) for such extreme lateral loading conditions or address the role of the deck in redistributing these loads …

How Media Framing Impacts Juror Bias In A Fictional Criminal Case, Teah Sharon Swartzon

Journalism

This study examines how media framing influences juror bias among college-aged students when evaluating a defendant's guilt in a fictional criminal case. Utilizing framing theory, the research explores whether biased news coverage can shape perceptions of a defendant's guilt before trial.

Participants, consisting of students at California Polytechnic State University, aged 18-22, were asked to read two news articles about a fictional criminal case. One framed the fictional defendant as guilty, while the other framed him as innocent. Both articles were generated using the Artificial Intelligence Platform, Claude.

Data was collected in a survey where participants indicated whether they believed …

Fluid-Mediated Particle Transport: Revisiting Snowstorm Simulations In 2d With An Updated Pressure Calculation Algorithm, E. Maldonado, Michael W. Roth

The Compass: Earth Science Journal of Sigma Gamma Epsilon

We develop and present computer simulations of snowfall and snowfall management near buildings using deflection fins. Our approach first entails a numerical solution to the Navier – Stokes fluid dynamics equations in order to determine wind velocity profiles with and without deflection fins. Subsequent to finding the velocity field, snow particles are introduced and are subject to Newton’s Laws in order to allow transport, sticking to surfaces, landing and ultimately accumulation. We revisit previous work, presenting and discussing program construction and validation, along with cursory systematic studies of varying geometrical parameters in the simulation. The utility of the simulations is …

Sigma Gamma Epsilon Student Research Poster Session, Geological Society Of America Annual Meeting 2025, San Antonio, Texas, Usa, Scott R. Beason, Lee S. Potter

The Compass: Earth Science Journal of Sigma Gamma Epsilon

The Society of Sigma Gamma Epsilon (SGE) sponsors a poster session at every annual meeting of the Geological Society of America. The 37th SGE undergraduate research poster session took place during the 2025 Geological Society of America Annual Meeting (GSA Connects) in San Antonio, Texas, USA, on Monday, October 20, 2025. Fifty-seven (57) posters were presented in Exhibit Hall 1 at the Henry B. Gonzalez Convention Center between 8:30 AM and 5:30 PM at the poster session, with authors present between 9:00 AM and 11:00 AM. Titles, authors (italics for the presenting author), affiliations, and abstracts for each poster are …

Ai Interpretability In Healthcare Communication, Ananya Jeyappragash

Dartmouth College Master’s Theses

Artificial intelligence has increasingly been adopted in healthcare, largely for specialized tasks and under significant human oversight. The use of large black-box systems raises important concerns about transparency in high-stakes environments such as clinical decision-making. Clinical communication is fundamentally human-centered, and failures in judgment can have serious consequences for patient care. Overestimating the reasoning abilities of large language models may lead to undue trust in fabricated or “hallucinated” outputs, while rejecting AI-assisted tools altogether may preserve inefficient workflows and contribute to missed or delayed diagnoses. These concerns reflect a broader tradeoff between accuracy and interpretability: although more complex models may …

Experimental And Computational Investigations Of Li-Ion And Na-Ion Battery Cathode Materials, Shintaro Inaba , ‘26

Senior Theses, Projects, and Awards

Batteries allow storage of chemical energy and controlled conversion of energy as electricity. Known to mankind since the eighteenth century, batteries have been vital in manufacturing, service industry, and use of portable electronics and electric vehicles. These systems utilize rechargeable batteries, where redox reactions are practically reversible. Lithium-ion batteries (LIBs) and sodium-ion batteries (SIBs) are two rechargeable systems that are widely explored in the field of electrochemistry and electrical engineering due to their abundance of materials, relative safety, energy density and power density. Discovery and optimization of those battery materials are crucial in improving their performance and accelerating commercialization. In …

"Leaf It To The Trees": Assessing The Colling Effects Of Tree Canopy On Campus Microclimates, Andrea Realyvasquez

Research Papers

This research paper investigated the impact of urban heat islands on campus microclimates, using a temperature survey to analyze variations in urban composition relative to tree density across the campus. The study spans multiple sites across the St. Mary’s University campus, with the following three major groups: Shaded, Partial Shade, and No Shade. Each grouping had two sites in different locations across campus to provide areas that best suited the characteristics, as well as site variation for the study. A data collection schedule was made for the months of January and February to cover two sites within a different grouping …

"Leaf It To The Trees": Assessing The Cooling Effects Of Tree Canopy On Campus Microclimates, Andrea Sophia Realyvasquez

Posters - 2026

Urban heat island (UHI) effects are becoming increasingly common worldwide, with lived experiences and media coverage highlighting the negative consequences of urban development for humans and the environment. Urbanization, like many other aspects of society, should not remain stagnant and outside the scope of innovation. Understanding the interplay between urban morphology and temperature distributions is crucial in informing effective policy development (AbbegCoproski et al. 2024). tion to a political approach to reducing surface temperatures, there is the social aspect of difficulty in evading UHI in microclimates. University campuses are among the many areas that struggle to overcome old infrastructure and …

Mapping Sensory Landscapes: Distribution And Arrangement Of The Anterior Lateral Line System In Texas Catfish, Tatiana Flores, Ruben Tovar

Research Papers

Fish have a system of sensory organs known as the lateral line system. This system contains numerous mechanoreceptive neuromasts and electroreceptive ampullary organs (Northcutt et al, 2000). Neuromasts are small, hair-like structures located within canals in the lateral line system just under the fish’s skin and are open to the environment through small pores visible on its skin (Parker, 2025). Water flows into these canals through the pores which stimulates the sensitive hair cells, resulting in electrical signals sent to the fish’s brain. The brain interprets these signals and creates “images” of the fish’s surroundings, helping it to see even …

Advancing Paleontologic Mapping: A Gis And Drone Photogrammetry Approach To The Lance Formation Beds Of Glenrock, Wyoming, William H. Steelman, Monika Angner, Norman S. Levine, W S. Persons

The Compass: Earth Science Journal of Sigma Gamma Epsilon

Small museums and volunteer-driven field programs often lack the resources required for detailed geological mapping, limiting the stratigraphic data associated with their fossil collections. To address this challenge, an affordable and replicable mapping workflow was developed that combined drone-based photogrammetry, GIS analysis, and targeted structural measurements using the Glenrock Exposure of the Lance Formation as a study site. The resulting 3D outcrop models, bedding-plane reconstructions, and 750-m-thick stratigraphic column provide the first comprehensive spatial framework for 35 fossil quarries curated by the Glenrock Paleon Museum. The results reveal tightly clustered fossil-bearing horizons, a long interval lacking preservation, and a notable …

The Compass - Volume 95 Issue 1 - Complete Issue, Scott R. Beason

The Compass: Earth Science Journal of Sigma Gamma Epsilon

No abstract provided.

Leveraging Aspiring And Inspiring Mentorship Relationships To Promote Stem Persistence, Rayann K. Hoppe

Honors Thesis

While several mentorship interventions for STEM students already exist, persistence and retention in STEM fields remain relatively low. Additionally, there is limited research examining the intersections between aspiring (upward) and inspiring (downward) mentorship roles.

This article aims to address these gaps by examining existing literature and mentorship frameworks, with a focus on how mentorship dynamics influence STEM persistence. Two principal findings emerge from the literature: (1) effective mentorship should be conceptualized as an interconnected ecosystem rather than a hierarchical structure, and (2) the intersection of aspiring and inspiring roles contributes to the development of identity, self-efficacy, and a sense of …

Measure Theory, Probability, And The Structure Of Economic Models, Grace Etzel

Math Honors Theses

No abstract provided.

Key Components Of An Effective Gifted Program, Amanda Fjeld

Master's Theses & Capstone Projects

This inquiry-based research project aimed to identify the essential components of an effective gifted education program. The study examined which factors of a gifted pull-out program impact student learning through identifying consistent patterns. A mixed-methods approach was used. Qualitative and quantitative data were gathered on program structures, instructional approaches, and teacher preparedness. This study gathered information from peer-reviewed articles and survey responses from four Iowa gifted educators. The results revealed that while there are consistencies across many pull-out programs, there are many different goals. Key themes that were identified in gifted programs include 21st-century skill development, project-based learning, and social-emotional …

The Impact Of Culturally Responsive And Inclusive Instructional Practices, Avril Baccam

Master's Theses & Capstone Projects

Culturally responsive and inclusive instructional practices are essential for supporting student engagement and participation in increasingly diverse elementary classrooms. However, some second-grade students do not experience equitable opportunities to engage in learning due to instructional practices that may not fully address cultural, linguistic, and learning differences. This inquiry-based research study aimed to examine second-grade teachers' perceptions of culturally responsive and inclusive instructional practices and their impact on student engagement and participation. The study also explored which instructional strategies teachers identify as most effective for promoting equitable engagement among diverse learners. A mixed-methods approach was utilized, including quantitative survey data and …

Using Play-Based Learning To Support Early Academic-Related Learning Behaviors: A Case Study In An Early Childhood Classroom, Tracy Montalvo

Master's Theses & Capstone Projects

This inquiry-based research study examined how play-based learning supports early academic-related learning behaviors for an individual child in a preschool early childhood special education (ECSE) classroom. The purpose of this study was to understand how engagement, persistence, and problem-solving developed over time through play-based experiences and teacher facilitation. Data were collected over a four-week period using multiple tools, including structured observation checklists, frequency and duration recording sheets, anecdotal field notes, and reflective journal entries. The findings of this study suggest that play-based learning supported the development of early academic-related learning behaviors, as the child demonstrated increased engagement, improved persistence, and …

The Impact Of Mindfulness Strategies In An Elementary Classroom, Trinity Lawless

Master's Theses & Capstone Projects

School districts across the globe have adopted social-emotional initiatives throughout their schools to better the mental health of students and instill crucial soft skills within them. Implementing mindfulness strategies is one way that teachers are helping their students become more emotionally self-regulated learners. Although there is a plethora of research surrounding mindfulness, research on the specific mindfulness strategies that work best and the ones that students prefer is missing from the existing research. To mend this research gap, the current researcher sought to discover how mindfulness strategies impact students’ overall mindfulness score, what strategies are most beneficial, and which strategies …

The Impact Of Structured Reflective Journaling On Self-Efficacy In Early-Career Teachers, Ashley Van Dusseldorp

Master's Theses & Capstone Projects

Teacher self-efficacy is a critical factor influencing instructional effectiveness, classroom management, and teacher retention, yet many educators in their first five years of teaching report low confidence in their professional abilities as they navigate the complexities of the classroom. This lack of confidence can negatively impact instructional decision-making, classroom practices, and long-term commitment to the profession. The purpose of this inquiry-based research study was to examine the impact of a structured reflective journaling intervention on the self-efficacy of new teachers with fewer than five years of teaching experience. Using a mixed-methods design, participants completed pre- and post-intervention self-efficacy surveys and …

Co-Teaching Classroom Management And Relationships: Impact On Ell Student Engagement And Achievement In 5th Grade Ela, Jesse Strong

Master's Theses & Capstone Projects

This study examines how co-teaching influences English Language Learner (ELL) engagement, behavior, teacher-student relationships, and academic achievement in a fifth-grade ELA classroom. As classrooms become more diverse, teachers need strategies that support language development while still holding students to grade-level expectations. Co-teaching, where a general education teacher works alongside a support teacher, allows for shared planning, instruction, and assessment to better meet student needs. The purpose of this study was to explore how different co-teaching approaches affect student engagement, confidence, classroom behavior, and learning outcomes. Data were collected through classroom observations, student work and performance data, and teacher reflections. Findings …

Stephen Stern And Steven Gimbel, Reclaiming The Wicked Son: Finding Judaism In Secular Jewish Philosophers, Ronald E. Hustwit Sr.

Faith and Philosophy: Journal of the Society of Christian Philosophers

No abstract provided.