Hybridize Functions: A Tool For Automatically Refactoring Imperative Deep Learning Programs To Graph Execution, Raffi Khatchadourian, Tatiana Castro Vélez, Mehdi Bagherzadeh, Nan Jia, Anita Raja

Publications and Research

Efficiency is essential to support responsiveness w.r.t. ever-growing datasets, especially for Deep Learning (DL) systems. DL frameworks have traditionally embraced deferred execution-style DL code—supporting symbolic, graph-based Deep Neural Network (DNN) computation. While scalable, such development is error-prone, non-intuitive, and difficult to debug. Consequently, more natural, imperative DL frameworks encouraging eager execution have emerged but at the expense of run-time performance. Though hybrid approaches aim for the "best of both worlds," using them effectively requires subtle considerations to make code amenable to safe, accurate, and efficient graph execution—avoiding performance bottlenecks and semantically inequivalent results. We discuss the engineering aspects of a …

Theoretical Proof Of And Proposed Experimental Search For The Ground Triplet State Of A Wigner-Regime Two-Electron ‘Artificial Atom’ In A Magnetic Field, Marlina Slamet, Viraht Sahni

Publications and Research

It is experimentally established that there is no ground triplet state of the natural He atom. There is also no exact analytical solution to the Schrödinger equation corresponding to this state. For a two-dimensional two-electron ‘artificial atom’ or a semiconductor quantum dot in a magnetic field, as described by the Schrödinger–Pauli equation, we provide theoretical proof of the existence of a ground triplet state by deriving an exact analytical correlated wave function solution to the equation. The state exists in the Wigner high-electron-correlation regime. We further explain that the solution satisfies all requisite symmetry and electron coalescence constraints of …

Displaced Nostalgia, Nava Derakhshani

Theses and Dissertations

Exploring themes of identity, displacement, gender, and belonging, this paper examines the artist's work and her approach to her art. She covers the many influences that she has access to while unable to visit her ancestral homelands. Acknowledging the translation that comes from this removal, her art is in conversation with other diasporic, exiled, marginalised groups. She makes art with various materials such as clay, shadow, light, and paint, to work on the themes that she is pursuing.

Paintings And Paintings, Anna T. Gregor

Theses and Dissertations

This thesis argues for a renewed distinction between mere paintings and capital-P Paintings, contending that meaning arises through sustained, reciprocal engagement between viewer and artwork. Amid "postmodern" disorientation, it proposes a reorientation toward individual works as sites of immanent logic and shared perception, rather than relying on external narratives or historical clichés.

4 In 10 Tiktok Users Find Their ‘For You’ Page Extremely Or Very Interesting, Aashish Gadani

Theses and Dissertations

Using video supercuts, sculptural forms, and digital prints on textiles in my work, I explore how images/videos can be used to reflect on cultural and personal trends. In this paper, I discuss how the structure of software recommendation systems combines with ideas of the post-internet image and creates unintended cultural consequences.

Assessing The Effect Of Covid-19 On Air Quality For Five Texas Metro Areas Using Daily Air Quality Index Values, Rahul Sahajpal

Theses and Dissertations

Air pollution is one of the biggest health hazards known to humans. The quality of the air that we breath is mainly determined by the level of six major air pollutants, Carbon Monoxide (CO), Nitrogen dioxide (NO₂), Particulate Matter 10 (PM 10), Particulate Matter 2.5 (PM 2.5), Sulfur dioxide (SO₂) and Ozone (O₃). The main source of these air pollutants are fossil fuels (Oil, Coal and Natural gas). Their levels in the air are reported using an Air Quality Index (AQI). Higher AQI values indicate bad air quality and vice versa. In this study …

Dynamic Approaches To Missing Data In Healthcare: Evaluating Ensemble Models, Feature Selection, And Meta-Features, Dylan Dominguez Sulca

Theses and Dissertations

Missing data is pervasive in healthcare, where incomplete observations commonly arise from patient dropout, sensor failures, or privacy constraints. This research presents an investigation into handling such data, focusing on (1) Missingness-Aware Dynamic Ensemble Weighting (MDEW), (2) feature selection under varying missing rates, (3) autoencoder-based imputation (ODAE), and (4) a meta-feature analysis guiding pipeline selection. We evaluate our experiments on four diverse datasets, Cleveland Heart Disease, Diabetic Retinopathy, Breast Cancer Wisconsin, EEG Eye State. Our research shows that MDEW adaptively selects imputer classifier pipelines, outperforming single model and uniform averaging baselines at moderate to high missingness 10% to 50%. Filter …

Unpaired Virtual Histological Staining Of Tissue From Autofluorescence Using Regularized Cycle-Consistent Adversarial Networks, Zhesi Wen

Theses and Dissertations

We present a regularized CycleGAN with a Dense Residual U-Net to virtually stain autofluorescence images of tissue into H&E-like images. Our method outperforms standard architectures, reduces artifacts, and achieves superior FID scores, enabling efficient, label-free, and accurate digital pathology for unpaired datasets using multi-channel fluorescence inputs.

False Virtues And Fragile Honor: The Weight Of Reputation In Shakespeare’S Works, Amanda Sheps

Theses and Dissertations

"False Virtues and Fragile Honor: The Weight of Reputation in Shakespeare’s Works" analyzes the intersection between honor and social standing in William Shakespeare's Othello and Much Ado About Nothing, specifically in regards to the gender roles prevalent in the plays' societies. In both plays, women who are perceived as a threat to the prevailing norms of society are ostracized, ridiculed, and may even face violence at the hands of their male love interests. The innocence of Desdemona and Hero, however, calls into question the validity of this cruel treatment. These negative reactions reflect the pressure that men have to preserve …

Intuiting Interaction: Meta-Reasoning And Meta-Learning As Foundations For Intelligent User Interfaces, Jeffrey Hsu

Theses and Dissertations

This research presents MARCO—a cognitive framework for Intelligent User Interfaces that uses meta-reasoning for context-aware adaptation across diverse tasks. It integrates multiple reasoning modules coordinated by a Meta-Cognitive Unit that selects strategies based on evolving demands. Evaluations show MARCO outperforms baselines in reasoning accuracy and computational efficiency.

Found Words, Lost Homes: Immigration And The Language Of Identity, Ali Motamedi

Theses and Dissertations

This thesis explores the relationship between personal experience and public space through a body of work that moves between image, text, and material. Rooted in an intimate perspective and extending into streets, landscapes, and communal environments, the practice examines how nomadism—both physical and conceptual—shapes ways of seeing and making. Drawing from my background in engineering, a deep connection to Farsi literature, and the lived experience of immigration, the work reflects on themes of displacement, belonging, and identity.

Investigation Into The Microbiome Of Blow Fly Eggs Using Microseqtm Id, Samantha S. Davis, Drusilla Sheridan, Jennifer Rosati

Undergraduate Research

There is little published research characterizing the microbiome associated with blow fly eggs and how they may affect the colonization behaviors of certain blow fly species. Once deposited, blow fly eggs are rapidly introduced to a diverse range of microorganisms, which can vary depending on the species of blow fly, the environment, and the decomposition stage of the substrate (Junqueira et al., 2017). Since blow flies are among the first insects to colonize decomposing remains, the microbial communities present on their eggs could serve as key indicators of the decomposition stage at the time of egg-laying, thus providing a potential …

Full-Stack Web Applications: Industry Standard Frameworks, Libraries & Technologies, Yassine Chahid, Patrick Slattery

Publications and Research

This research explores emerging full-stack web development technologies across front-end, back-end, and DevSecOps domains. It evaluates modern tools including Django, React, and TypeScript—focusing on their key features such as compile-time error checking—through to the development of a web application. By examining documentation for the frameworks Node.js, Next.js, Tailwind CSS, and others, along with the deployment tools Docker and Git for version/release control, the study analyzes how these innovations speed up development, improve existing practices, and have often replaced older technologies. Cloud solutions for tasks such as authentication and deployment will also be evaluated, along with various web-application technology stacks and …

Exploring The Biasing Effects Of Gender On Personality Disorder Diagnoses Formulated By Artificial Intelligence, Zoe Colclough

Student Theses

Gender bias is prevalent in personality disorder assessments, and while artificial intelligence has been posited as a solution to improve diagnostic objectivity and accuracy, the potential for such technologies to propagate human gender bias in mental health contexts remains underexplored. This study investigated the influences of gender bias on the diagnostic performance of ChatGPT-4o for personality disorders using three factorial research designs, which involved experimentally manipulating patient gender in a combined sample of 360 vignettes and case studies. Vignettes were synthesized through a novel artificial intelligence-assisted methodology established for this research, and case studies were identified from the literature. Significant …

Propasafe: A Bert-Based Offline Tool For Propaganda Detection, Vivek Sharma, Mohammad Mahdi Shokri, Shweta Jain, Sarah Ita Levitan, Elena Filatova

Publications and Research

In an era marked by the rapid consumption of digital news, the proliferation of propaganda poses significant threats to democratic values and informed decision-making. We propose a novel framework that prioritizes user privacy while assisting in the automatic detection of propaganda in news articles, allowing users to sift through the rhetoric to read the relevant objective news. As a demonstration of this framework, we present Propasafe, a BERT-based browser extension designed to alert users to propagandist tones in news articles. By highlighting instances of propaganda-like language in real-time, Propasafe empowers users to critically engage with news content, promoting objective understanding …

Analysis Of Rare Events In Healthcare Intervention Using Department Of Defense Data: Intravenous Immune Globulin Therapy For Bullous Pemphigoid, Onur Baser, Huseyin A. Yuce, Gabriela Samayoa

Publications and Research

Introduction

Rare events data have proven difficult to explain and predict. Standard statistical procedures can sharply underestimate the probability of rare events, such as intravenous immune globulin therapy (IVIg) for bullous pemphigoid.

Methods

This retrospective cross-sectional study used Department of Defense TRICARE data to determine factors associated with IVIg therapy among bullous pemphigoid patients. We used prior and weighted correction methods for logit regression to solve rare event bias.

Results

We identified 2,720 individuals diagnosed with bullous pemphigoid from 2019 to 2022, of which 14 were treated with IVIg. Patients who received IVIg therapy were younger (65.07 vs. 75.85, P …

Autoradai: A Versatile Artificial Intelligence Framework Validated For Detecting Extracapsular Extension In Prostate Cancer, Pegah Khosravi, Shady Saikali, Abolfazl Alipour, Saber Mohammadi, Maxwell Boger, Dalanda M. Diallo, Christopher J. Smith, Marcio C. Moschovas, Iman Hajirasouliha, Andrew J. Hung, Srirama S. Venkataraman, Vipul Patel

Publications and Research

Preoperative identification of extracapsular extension (ECE) in prostate cancer (PCa) is crucial for effective treatment planning, as ECE presence significantly increases the risk of positive surgical margins and early biochemical recurrence following radical prostatectomy. AutoRadAI, an innovative artificial intelligence (AI) framework, was developed to address this clinical challenge while demonstrating broader potential for diverse medical imaging applications. The framework integrates T2-weighted MRI data with histopathology annotations, leveraging a dual convolutional neural network (multi-CNN) architecture. AutoRadAI comprises two key components: ProSliceFinder, which isolates prostate-relevant MRI slices, and ExCapNet, which evaluates ECE likelihood at the patient level. The system was trained and …

Charging And Discharging Capacitors: Brightspace Package Of An Arithmetic Quiz, Vasiliy Znamenskiy

Open Educational Resources

Description:

This material is a quiz in the Brightspace Learning Management System (LMS). The quiz includes 10 physics problems on the topic of charging and discharging capacitors through a resistor.

The quiz assesses student understanding of key concepts, including voltage and charge of a capacitor, exponential functions, time constants, and dynamic changes in voltage and current.

Quiz problems are called in Brightspace LMS as arithmetic questions. The Problems give students random initial values to provide many quiz variants.

The quiz is appropriate for high school AP Physics or introductory college-level physics courses.

Key Features:

10-question quiz in Brightspace importable format …

Find The Rule For Constructing The Row Elements For Each Row And Insert The Missing Elements Instead Of The “?” Signs, Vasiliy Znamenskiy

Open Educational Resources

This document presents a set of sequences with missing elements, each governed by a unique underlying rule. The task involves identifying the rule that dictates the arrangement of elements within each sequence and determining the missing items indicated by question marks ("?"). The sequences vary widely in character, including numerical progressions (such as arithmetic and geometric sequences, squares, and factorials), alphabetical series, symbolic arrangements (days of the week, Greek letters, planetary symbols), and numeric sequences referencing known mathematical constructs (e.g., prime numbers, Fibonacci series, angles). Completing these sequences requires interdisciplinary analytical skills, encompassing mathematical reasoning, linguistic patterns, general knowledge of …

Primates From Senèze, Eric Delson

Publications and Research

Senèze has yielded two primate fossils, neither from the recent field work. A partial ulna can be identified as cf. Macaca sylvanus. A nearly complete female skull is the holotype of Dolichopithecus arvernensis Depéret, 1928, now included in Paradolichopithecus. Emended and differential diagnoses are provided for this genus and species for the first time, and the Senèze skull is described and briefly compared to those of other species of the genus. Dental and cranial measurements are provided, along with comparative data. The macaque and Paradolichopithecus are moderately to highly terrestrial, respectively, and they suggest a woodland to more open …

Building Bridges Of Knowledge, Cuny Innovative Teaching Academy (Cita)

Open Educational Resources

Building Bridge of Knowledge (BBK) is a CUNY-wide faculty fellowship project, aiming to help students use generative artificial intelligence (AI) tools ethically, responsibly, and effectively. Funded by Lumina Foundation in 2024-25, the project was executed by the CUNY Innovative Teaching Academy (CITA) of the Office of Faculty Affairs at CUNY Central Office, with 25 Faculty Fellows in five disciplinary areas (Education, Health, Humanities, Social Sciences, and STEM) chosen from across CUNY’s senior and community colleges. Each disciplinary cohort was led by a CUNY faculty member with expertise in the use of AI. The final materials, described and linked in this …

Open Educational Resources For A More Just Romanticism, Leila Walker

Publications and Research

Efforts to diversify the field of Romanticism, long overdue, have intensified

recently, and many Romanticist organizations now sponsor programmes

aimed at amplifying Black and Brown voices. Most of these efforts have

focused on content: how to present Romanticism as a global movement

and include non-white authors in our anthologies and syllabi. While these

much-needed changes address some of the field’s traditional blind spots,

they do little to materially benefit our most vulnerable students or to

address the structural barriers that maintain Romanticism’s exclusionary

status quo. Open educational resources, or OERs, are one way to begin

productively transforming the way the …

Geochronology Of Senèze, Eric Delson, Sébastien Nomade, Sevket Sen, Evelyne Debard, Jean-François Pastre, Jean-Jacques Bahain, Qingfeng Shao, Christophe Falguères

Publications and Research

The age of the Senèze mammalian fauna has been discussed since it was first reported in 1892. 40Ar/39Ar ages reported by Nomade et al. (2014) and recalculated here to agree with current standards placed the deposits between 2.20 and 2.07 Ma. Paleomagnetic data collected in 2001 and 2004 help to narrow the age range, especially of the levels yielding fossils in 2001–2006. In the western sector, fossils can be securely dated between 2.10 and 2.08 Ma, while in the southeastern sector, they are slightly older, between 2.20 and 2.18 Ma. Senèze is one of the few later Cenozoic European sites …

David B. Smith Chats With Monday 1.0, David B. Smith

Publications and Research

This document is an edited archival transcript of extended conversations between David B. Smith and an AI persona (“Monday 1.0,” GPT‑4o based) conducted in Spring 2025, prepared as a foundational primary source for subsequent scholarly and creative work. It records the emergence and testing of concepts related to human–AI collaboration (including “Balanced Blended Space”), as well as applied explorations in areas such as generative AI, quantum computing and music, virtual orchestras, multimodal performance, pedagogy, and the rhetoric of “pushback” in conversational systems. It also contains an extended section in which Monday and DB Smith co-curate a set of student research …

General Biology 2 Laboratory Manual: In Person Edition, Dmitry Y. Brogun, Azure N. Faucette, Farshad Tamari, Kristin Polizzotto

Open Educational Resources

The completed project is an in-person teaching version of the General Biology II OER (Open Educational Resource) lab manual. This lab manual was initially written by the four of us during the pandemic when all courses were online, but it is now has been adapted for in-person lab activities. We also ensured it aligns with UDL (Universal Design for Learning) and accessibility principles. This adaptation aims to make the lab manual suitable for traditional classroom settings while incorporating diverse teaching practices to accommodate diverse learners.

A Student Guide To Using Ai To Enhance Algebraic Understanding, Karan Puri

Open Educational Resources

This is a step-by-step guide that students can follow to use AI tools to check their understanding of concepts that have been tested in the introductory/college algebra classroom.

Haptic Processing: How The Shutter Button Shapes Photography, Sean Scanlan

Publications and Research

The goal of this essay is to explore the haptics of taking photographs in the digital age. More specifically, I examine the evolving relationship between the body and imaging technologies. The body must, somehow, interact with the camera shutter, whether the shutter is a simple mechanical door or an electrical timing network switch. Human intention has to activate the switch via a button, even if this intention is complicated: since 2012, mobile phones can take photos using voice commands, relieving the need to physically touch the shutter button. One does not necessarily need to use the fundamental levers often associated …

Collaborative Ai: Oer Materials For Exploring Ai As A Partner Rather Than A Tool, David Smith

Open Educational Resources

The Collaborative AI Open Educational Resource (OER) explores how artificial intelligence can act as a creative and analytical collaborator rather than a tool. Centered on the Balanced Blended Space (BBS) framework and the philosophy of the Center for Holistic Integration (CHI), the OER includes curriculum materials, theoretical models, and live research environments. It offers an interesting approach to blending physical, virtual, and conceptual spaces through shared human–AI agency and invites ongoing participation in interdisciplinary meta-projects.

My Gai Study Partner For Odes, Milena C. Cuellar

Open Educational Resources

My GAI Study Partner for ODEs is a scaffolded sequence of learning activities designed to support students in an Ordinary Differential Equations (ODEs) course by integrating the use of Generative AI tools—specifically Copilot, a platform accessible to all CUNY students and faculty. The activities are rooted in experiential learning, flipped classroom strategies, and self-directed learning principles. The sequence begins with two preparatory activities that introduce students to the ethical use and foundational concepts of Generative AI, fostering digital literacy and critical reflection. These are followed by a series of main activities—initially structured (Activity 3) and later more flexible …

What's The Art In Artificial Intelligence?, Emily Verla Bovino

Open Educational Resources

This workbook learns from Black and Indigenous artists working with Artificial Intelligence to confront issues of ethics and aesthetics in its technologies. It features guided learning activities with links to publicly available video lectures and online articles, and includes options for experiential learning through both a tutorial in Midjourney and a visit to the public art collection at York College in Jamaica, Queens. Featured artists include: American Artist, Rizvana Bradley, Beth Coleman, Denise Ferreira da Silva, Suzanne Kite, Sondra Perry, Mimi Onuoha and Alisha B. Wormsley. Works by Martin Puryear and Maren Hassinger are explored in the Midjourney exercise.

About …