Digital Commons Network^™

Findings And Recommendations From The State Of The Art (Sota) Conference On Nursing Research To Improve Veteran Outcomes, Amelia E Schlak, Sarah Krein, Laura A Petersen, David Atkins, Catherine Battaglia, Elizabeth Burkhart, Renee Colsch, Marguerite Daus, Heather Gilmartin, Nipa Kamdar, Melissa Knox, Ann Kutney-Lee, Christine M Olney, Kathryn Rugen, Tracy Weistreich, Sheila Cox Sullivan, On Behalf The Nursing Sota Planning Committee

Faculty, Staff and Students Publications

The Veterans Health Administration (VHA), the largest employer of nurses in the United States, has more than 120,000 nursing personnel providing care to over 9 million Veterans across diverse settings. Despite nursing's central role in delivering and sustaining care, research on strengthening the nursing workforce and optimizing nursing practice has remained underdeveloped in VHA. To address this gap, VHA's Office of Research and Development, in partnership with the Office of Nursing Services, convened a State of the Art (SOTA) conference in November 2023 focused on nursing. The Nursing SOTA brought together nurses, researchers, operational leaders, and other stakeholders to review …

Senolytic-Resistant Senescent Cells Have A Distinct Sasp Profile And Functional Impact: The Path To Developing Senosensitizers, Utkarsh Tripathi, Masayoshi Suda, Vagisha Kulshreshtha, Bryan T Piatkowski, Allyson K Palmer, Nino Giorgadze, Christina Inman, Nathan Gasek, Ming Xu, Kurt O Johnson, Tamar Pirtskhalava, Selim Chaib, Larissa P G Langhi Prata, Yi Zhu, Renuka Kandhaya-Pillai, Stefan G Tullius, Saranya P Wyles, Rambabu Majji, Hari Krishna Yalamanchili, David B Allison, Tamar Tchkonia, James L Kirkland

Faculty, Staff and Students Publications

The senescent cell (SC) fate is linked to aging, multiple disorders and diseases, and physical dysfunction. Senolytics, agents that selectively eliminate 30%-70% of SCs, act by transiently disabling the senescent cell antiapoptotic pathways (SCAPs), which defend those SCs that are proapoptotic and pro-inflammatory from their own senescence-associated secretory phenotype (SASP). Consistent with this, a JAK/STAT inhibitor, Ruxolitinib, which attenuates the pro-inflammatory SASP of senescent human preadipocytes, caused them to become "senolytic-resistant". Administering senolytics to obese mice selectively decreased the abundance of the subset of SCs that is pro-inflammatory. In cell cultures, the 30%-70% of human senescent preadipocytes or human umbilical …

Lessons Learned From An Epic Transformation Of A Radiation Oncology Department In Guatemala: Keys To Success, Edgar Ruiz, Hiram A Gay, Milton Ixquiac, Angel Velarde, Baozhou Sun, Jose García-Ramirez, Eric Laugeman, Benjamin Li, Jeff Michalski, Vicky De Falla, Geoff Hugo, Jacaranda Van Rheenen

Faculty, Staff and Students Publications

Purpose: We describe the radical modernization of a radiation oncology department in a developing country, Guatemala, from 2015 to the beginning of 2024. The Instituto de Cancerología y Hospital Dr. Bernardo del Valle S (INCAN) is the only public radiotherapy clinic serving patient referrals from the Ministry of Public Health and Social Assistance program.

Methods and materials: We describe the state of the radiation oncology department in 2015 versus 2024 while chronicling its gradual transformation. This multifaceted collaboration involved academic centers, government agencies, International Atomic Energy Agency (IAEA), industry, and nonprofits and continues to this day. We analyze the infrastructure, …

Once-Weekly Navepegritide In Children With Achondroplasia: The Approach Randomized Clinical Trial, Ravi Savarirayan, Ciara Mcdonnell, Carlos A Bacino, Daniel G Hoernschemeyer, Janet M Legare, M Jennifer Abuzzahab, Paul L Hofman, Philippe M Campeau, Josep Maria De Bergua Domingo, Leanne M Ward, Kevin Smit, Alden Smith, Meng Mao, Michael S Ominsky, Lærke C Freiberg, Aimee D Shu, Hanne B Hove

Faculty, Staff and Students Publications

Importance: Historically considered a skeletal dysplasia characterized by disproportionate short stature, achondroplasia is a condition with multisystemic effects due to the widespread expression of the fibroblast growth factor receptor 3 variant throughout the body, impacting muscle, neurological function, cardiorespiratory health, and health-related quality of life.

Objective: To evaluate the efficacy, safety, and tolerability of once-weekly navepegritide, an investigational prodrug of C-type natriuretic peptide, while assessing benefits beyond growth that may have important implications for complications and health-related quality of life in children with achondroplasia.

Design, setting, and participants: Enrollment for this pivotal phase 2b, randomized, double-blind, placebo-controlled trial (APPROACH) was …

Case Series Of Nizon-Isidor Syndrome By Heterozygous Variants In Med12l With Further Evidence Of Mitotic Instability In One Case With Diploid-Triploid Mosaicism, Russell Stewart, Kimberly M Ezell, Deanna S Bell, Brian Corner, Ashley Mcminn, Joy D Cogan, Rizwan Hamid, Lynette Rives, John A Phillips, Nina Paddu, Gitanjali Srivastava, Ronit Marom, Farah A Ladha, Claudia Soler-Alfonso, Rachel Franciskovich, Mary Koziura, Sumit Pruthi, Gabriele Richard, Christina B Sheedy, Undiagnosed Diseases Network, Thomas Cassini

Faculty, Staff and Students Publications

Nizon-Isidor syndrome is a rare disorder caused by heterozygous variants in MED12L, with only eight documented cases in the literature. Here, we present three additional cases of this syndrome. Proband 1 was a 7-year-old female who presented with developmental delay, right-leg hemihypertrophy, laryngeal cleft, esotropia, abnormal skin pigmentation, sectoral iris hypopigmentation, dysphagia, periventricular nodular heterotopia, seizures, morbid obesity, and a pelvic kidney. Genome sequencing (GS) revealed a MED12L variant, NM_053002.5:c.3559+2T>G. Both computational models and transcriptomic analysis confirmed that this variant induced splice loss of MED12L exon 25. Probands 2 and 3 presented with overlapping phenotypes of developmental delay; sequencing …

Efficacy And Safety Of Pyrimidine Nucleos(T)Ide Therapy In Thymidine Kinase 2 Deficiency, Michio Hirano, Caterina Garone, Richard Haas, Carmen Paradas, Fernando Scaglia, Irene Rebollo Mesa, Carl Chiang, Anny-Odile Colson, Susan Vanmeter, Cristina Domínguez-González

Faculty, Staff and Students Publications

Thymidine kinase 2 deficiency (TK2d) (MIM 609560) is an ultra-rare, autosomal recessive mitochondrial myopathy caused by TK2 variants, leading to mitochondrial DNA depletion and/or multiple deletions. People with thymidine kinase 2 deficiency experience progressive myopathy, bulbar weakness and respiratory insufficiency, often losing the ability to walk, eat and breathe independently. Doxecitine and doxribtimine represents the first approved treatment for patients with thymidine kinase 2 deficiency with age of symptom onset ≤12 years by the US Food and Drug Administration and the European Medicines Agency; previously, disease management was limited to supportive care. We investigated the efficacy and safety of pyrimidine …

The Words Community Dwelling, Spanish-Preferring Mexican/Mexican American Adults Use To Talk About Alzheimer’S Disease And Genetic Testing: Implications For Education And Outreach, Jamie C Fong, Fatima I Chavez, Karla Silos, Mirna L Arroyo-Miranda, Gabriela Castro Castro, Mark E Kunik, Joshua M Shulman, Luis D Medina

Faculty, Staff and Students Publications

Introduction: Hispanic/Latino (H/L) adults are more likely than non-Hispanic White individuals to have Alzheimer's disease (AD), yet fewer than one in five H/L adults has apolipoprotein E (APOE) Ɛ4, underscoring gaps in understanding genetic risk across H/L heritage groups. H/L adults remain underrepresented in AD research that uses genetic data for participant stratification. To inform culturally appropriate educational materials for 16 million U.S. Spanish speakers, we identified culturally salient words Spanish-preferring H/L adults use to describe AD and genetic testing beyond APOE.

Methods: Community-residing, Spanish-preferring Mexican/Mexican American adults (n = 14) completed freelisting interviews, a method eliciting …

Hemispherotomy For Drug-Resistant Epilepsy In A Low-Resource Setting: Surgical Outcomes And Quality Of Life In 23 Children Treated In A Hybrid Program In Panama, Emmajane G Rhodenhiser, David Bonda, Carmen Baez, Hannah K Weiss, Yosef Dastagirzada, Guzman Aranda, Laurent Bruggeman, Ameeta Grover, Shaun D Rodgers, Ruben Kuzniecky, Yvonne Zelenka-Kuzniecky, Howard L Weiner, Eveline Teresa Hidalgo

Faculty, Staff and Students Publications

Introduction: Hemispherotomy is an effective treatment for children with drug-resistant epilepsy (DRE). While hemispherotomy techniques and indications have evolved, access remains predominantly constrained to high-resource settings.

Methods: We performed a retrospective analysis of children who underwent hemispherotomy from 2011 to 2023 by a hybrid team, including local Panamanian and US neurologists, neurosurgeons, and EEG technicians and analyzed surgical, epilepsy, and quality of life (QoL) parameters. Follow-up data were collected according to the International Consortium for Health Outcomes Measurement (ICHOM) guidelines for children with epilepsy.

Results: Twenty-three children underwent hemispherotomy. The median age at surgery was 10 years (range 2-20). The …

Intercornual Distance And Postoperative Reproductive Outcomes In Moderate-To-Severe Intrauterine Adhesions: A Retrospective Cohort Study, Yifu He, Xingping Zhao, Huan Huang, Changfa Shu, Xiaoming Guan, Jia Guo, Dabao Xu

Faculty, Staff and Students Publications

Study question: Does intercornual distance (ICD), as reflected by intrauterine stent size during hysteroscopic adhesiolysis, have an association with reproductive outcomes and provide information for postoperative risk stratification in women with moderate-to-severe intrauterine adhesions?

Summary answer: A smaller ICD was independently associated with a lower likelihood of clinical pregnancy within 1 year of the final hysteroscopy and may offer additional information for postoperative risk stratification in women with moderate-to-severe intrauterine adhesions.

What is known already: Reproductive outcomes following treatment for moderate-to-severe intrauterine adhesions vary considerably. Existing severity classifications offer limited discrimination within this group. The potential association between ICD and …

Disrupted Intrathalamic And Thalamocortical Structural Covariance Networks In Posttraumatic Stress Disorder, Nick Steele, Ahmed Hussain, Delin Sun, C Lexi Baird, Courtney Russell, Neda Jahanshad, Lauren E Salminen, Miranda Olff, Jessie L Frijling, Dick J Veltman, Saskia B J Koch, Laura Nawijn, Mirjam Van Zuiden, Li Wang, Ye Zhu, Gen Li, Dan J Stein, Jonathan Ipser, Sheri Koopowitz, Yuval Neria, Xi Zhu, Orren Ravid, Sigal Zilcha-Mano, Amit Lazarov, Benjamin Suarez-Jimenez, Ashley A Huggins, Jennifer Stevens, Kerry Ressler, Tanja Jovanovic, Sanne J H Van Rooij, Negar Fani, Emily L Dennis, David F Tate, David X Cifu, William C Walker, Elisabeth A Wilde, Ivan Rektor, Pavel Říha, Milissa L Kaufman, Lauren A M Lebois, Justin T Baker, Anthony King, Israel Liberzon, Mike Angstadt, Nicholas D Davenport, Seth G Disner, Scott R Sponheim, Thomas Straube, David Hofmann, Guang Ming Lu, Rongfeng Qi, Amit Etkin, Adi Maron-Katz, Xin Wang, Austin Kunch, Hong Xie, Yann Quidé, Wissam El-Hage, Shmuel Lissek, Hannah Berg, Steven E Bruce, Josh Cisler, Marisa Ross, Ryan Herringa, Daniel W Grupe, Jack B Nitschke, Richard J Davidson, Christine Larson, Terri A Deroon-Cassini, Carissa W Tomas, Jacklynn M Fitzgerald, Brandee Feola, Jennifer U Blackford, Bunmi O Olatunji, Geoffrey May, Steven M Nelson, Evan M Gordon, Chadi G Abdallah, Ruth Lanius, Maria Densmore, Jean Théberge, Richard W J Neufeld, Paul M Thompson, Rajendra A Morey

Faculty, Staff and Students Publications

The thalamus is a heterogeneous structure crucial for corticocortical communication, affective–perceptual integration, motor preparation, and memory-related functions. Posttraumatic stress disorder (PTSD) is characterized by various symptoms that likely relate to thalamic functions. Group-level and individual differential structural covariance (SC) analyses were conducted on intrathalamic, thalamocortical, and thalamosubcortical volumetric networks by segmenting structural MRI data from 2,784 subjects (PTSD n = 1,306; controls n = 1,478) into 25 thalamic nuclei per hemisphere. We found that PTSD was associated with stronger intrathalamic and thalamocortical network strength and stronger SC between the limbic thalamus and the somatomotor and auditory thalamus. PTSD severity was …

Non-Congenital Hsv-1 Keratitis In An Immunocompetent 9-Month-Old Infant, Caleb A Casanova, Stephanie Trejo Corona, Stephen F Pflugfelder

Faculty, Staff and Students Publications

Isolated, non-congenital herpes simplex virus type 1 (HSV-1) keratitis in immunocompetent infants is exceedingly rare and may be easily misdiagnosed, leading to delays in appropriate antiviral therapy. This case is unique in that it describes HSV-1 keratitis in a healthy 9-month-old infant presenting without systemic illness, initially treated as bacterial conjunctivitis. The patient presented with unilateral eye pain, redness, and corneal opacification. Subsequent evaluation revealed HSV-1 keratitis, and the patient was treated with intravenous acyclovir in combination with topical moxifloxacin and topical ganciclovir, resulting in complete resolution of symptoms within one week. This case adds to the limited literature on …

Assessment Of In-Frame Indel Variants In An Unsolved Cohort Of Inherited Retinal Diseases Using Machine Learning, David E Rauch, Meng Wang, Muhammad Jafar Hussain Hafiz, Daniel C Brock, Yumei Li, Molly Marra, Mark E Pennesi, Paul Yang, Everett Lesley, Irma Lopez, Robert Koenekoop, Edward Ryan Collantes, Joanne Bolinao, Rui Chen

Faculty, Staff and Students Publications

The standard for in silico pathogenicity prediction of in-frame insertions and deletions (indels) is less established compared to other types of variations. We aimed to systematically assess the performance of in silico machine learning (ML) tools on a patient cohort with inherited retinal diseases (IRDs). The performance of four ML tools (CADD, FATHMM-indel, VEST4, and MetaRNN-indel) was compared. Among them, MetaRNN-indel showed the best overall results. MetaRNN-indel was then applied to 1013 unsolved IRD patients, identifying two likely pathogenic causal variants in two unrelated IRD patients by confirming clinical phenotypes. Hence, our findings indicate that reliable prediction of the pathogenicity …

Strategies And Challenges For The Recruitment Of Young Healthy Participants In The Dietary Approaches To Longevity And Health (Dial Health) Pilot Trial, Hannah E Cabre, Courtney M Peterson, Gareth R Dutton, Kimberly L Drews, Stephanie T Broyles, Robert Dubin, Laura Q Rogers, Catherine Champagne, Dennis T Villareal, Daniel S Hsia, Leanne M Redman, Corby K Martin

Faculty, Staff and Students Publications

Background: Understanding the impact of nutrition on human aging requires long-term trials in young, healthy, unmedicated adults. As part of the Dietary Approaches for Longevity and Health (DiAL Health) pilot project, we evaluated strategies for recruiting this population for aging-related dietary intervention studies.

Methods: We analyzed recruitment costs to enroll 70 participants (ages 25-49, BMI 22.0-29.9 kg/m2) across two DiAL Health sites and used NHANES data (2017-March 2020) to estimate the proportion of U.S. adults meeting partial trial eligibility. Additionally, a formative study surveyed 492 U.S. adults (≥18 years) to assess interest in aging-focused dietary trials.

Results: Of 2049 applicants …

Sewers To Solutions: A Guide To Wastewater Pathogen Monitoring, Justin R Clark, Anthony W Maresso

Faculty, Staff and Students Publications

Wastewater-based epidemiology (WBE) is the analysis of wastewater to detect pathogen levels or activity for public health awareness or action. Pioneered in the 1940s, WBE underwent a resurgence during the COVID-19 pandemic, providing important information about number of cases, outbreaks, and seasonal impact. With advancements in detection technologies and growing interest in environmental surveillance, WBE is poised to become a standard practice in public health monitoring. Here, we provide an overview of the current state of the art of pathogen WBE, including methods of molecular detection, analysis of wastewater data, real-world applications and programs, public health interventions, and benefits and …

Molecular Heterogeneity Of Hpv-Associated Cancers And Strategies To Overcome Treatment Resistance, Sara Rasouli, Weiyi Gong, Raegan Wood, Danyal Daneshdoust, Anam Khan, Rani Mahyoob, Chongwen Cao, Zihao Yu, Nagireddy Putluri, Gennady Shvets, Haichang Li, Bo Zhao, Xuefeng Liu, Jenny Li

Faculty, Staff and Students Publications

Human papillomavirus (HPV) is a major driver of global cancer incidence, responsible for nearly all cervical cancers and a significant proportion of oropharyngeal, anal, and other anogenital cancers. Despite the availability of effective vaccines, HPV-associated cancers persist due to persistent infection, immune evasion, and the virus's ability to integrate into the host genome, contributing to molecular heterogeneity and therapeutic resistance. Here, we summarize molecular heterogeneity and the emerging combined therapeutic strategies. High-risk HPV types, notably HPV16 and HPV18, initiate carcinogenesis through persistent infection of epithelial basal cells and through the actions of the E6 and E7 oncoproteins, which disrupt the …

A Neo-Kuyperian Approach To Mathematics, Calvin Jongsma, Kevin Vander Meulen

Faculty Work Comprehensive List

This chapter develops a Reformational perspective on the discipline of mathematics that stems from the seminal ideas of Kuyper, Dooyeweerd, Wolters, Clouser, and others. The implications of the Biblical motif of Creation-Fall-Redemption is explored for the task of Christian scholarship in general and for the field of mathematics in particular, drawing upon relevant developments in the history and philosophy of mathematics.

Untrained Position-Encoded Multilayer Perceptron Network For Structured Illumination Microscopy Reconstruction, Sahil Sharma, Leonidas Zimianitis, Krishnendu Samanta, Balpreet Singh Ahluwalia, Joby Joseph, Dushan N. Wadduwage

Computer Science Faculty Publications

Structured Illumination Microscopy (SIM) enables super-resolution imaging by encoding high-frequency spatial information through patterned light. While traditional Fourier-based reconstruction methods are prone to artifacts under suboptimal conditions, recent deep learning approaches often require large training datasets and lack adaptability across different imaging setups. In this work, we present Position Encoded Multi-Layer Perceptron (PEM) network that leverages implicit neural representations (INRs) and SIM forward-model-driven modeling to reconstruct super-resolved images without any training data. PEM-SIM represents each spatial coordinate as a combination of sinusoidal functions across multiple frequencies, enabling rich encoding of fine spatial detail. A forward model grounded in SIM image …

Near Real-Time Adaptive Isotropic And Anisotropic Image-To-Mesh Conversion For Cerebral Aneurysm Simulations, Kevin Garner, Chander Sadasivan, Nikos Chrisochoides

Computer Science Faculty Publications

This paper presents two performance optimization techniques for a mesh adaptation method that is designed to help streamline the discretization of complex vascular geometries within the numerical modeling process. This method is integrated into a pipeline with an image-to-mesh conversion tool to generate adaptive anisotropic meshes from segmented medical images. The pipeline is shown to satisfy quality, fidelity, smoothness, and robustness requirements while providing near real-time performance for medical image-to-mesh conversion. Tested with two brain aneurysm cases and utilizing up to 96 CPU cores within a single, multicore node on Purdue University’s Anvil supercomputer, the parallel adaptive anisotropic meshing method …

Adaptive Self-Attention For Enhanced Segmentation Of Adult Gliomas In Multi-Modal Mri, Evan P. Savaria, Jiangwen Sun

Computer Science Faculty Publications

Every year there are an estimated 80,000–90,000 new glioma cases, highlighting the need for reliable imaging-based decision support. Although deep learning has improved tumor sub-region segmentation, many state-of-the-art models fail to fully capture complementary information across T1, T1Gd, T2, and FLAIR MRI modalities and often operate as “black boxes,” limiting physician trust when precise delineation is critical for surgical planning, radiation targeting, and treatment monitoring. To address these limitations, we propose AIMS, an Adaptive Integrated Multi-Modal Segmentation framework that maintains modality-specific feature streams and employs adaptive self-attention within a hierarchical CNN-Transformer architecture to prioritize and fuse multi-modal MRI features. We …

Sage: Spatially Aware Gene Selection And Dual-View Embedding Fusion For Domain Identification In Spatial Transcriptomics, Yi He, Yunpei Xu, Liqing Ding, Hong-Dong Li, Yaohang Li, Shaokai Wang

Computer Science Faculty Publications

Despite enabling high-resolution mapping of gene expression within tissues, spatial transcriptomics (ST) still faces challenges in accurately segmenting spatial domains due to complex tissue architecture and limitations of current methods. Most approaches rely on local spatial priors, lack gene-level interpretability, and fall short in capturing structure-discriminative genes or long-range functional relationships, limiting their ability to resolve biologically meaningful architectures. We present Spatially Aware Gene selection and dual-view Embedding fusion (SAGE), a unified and reproducible framework for domain identification in spatial transcriptomics that combines topic-driven gene selection with dual-view embedding fusion to address these gaps. SAGE integrates non-negative matrix factorization (NMF)-based …

Micro-Behavioral Analysis Of Online Shopping Patterns For Blind Users, Yash Prakash, Akshay Kolgar Nayak, Nithiya Venkatraman, Sampath Jayarathna, Hae-Na Lee, Vikas Ashok

Computer Science Faculty Publications

While online shopping platforms provide convenience and autonomy to blind users, their non-visual interactions remain underexplored at a micro-behavioral level. Existing studies have primarily emphasized accessibility and usability challenges but have overlooked how fine-grained, screen reader-driven keystroke-level behaviors reflect users’ cognitive strategies. In this paper, we present the findings of a longitudinal study with 25 blind participants to examine their micro-behavioral patterns, using keyboard activity and screen reader logs on both familiar and unfamiliar e-commerce websites. We complemented this study with semi-structured interviews to contextualize the uncovered micro-behavioral patterns. Our results revealed patterns in how blind users draw upon cognitive …

Design And Analysis Of Modern Quantum Neural Network Architectures For Intelligent Systems, Lakshmi Chandrakanth Kasireddy, Prabhakara Rao Kapula, Dineshkumar Rajendran, Neha Bharani, Srikanth Pulipeti, Islombek Khushvaktov

Computer Science Faculty Publications

Quantum neural networks (QNNs) offer a principled pathway for integrating quantum computation with machine learning through superposition- and entanglement-based representations. This chapter proposes an architecture-aware design and evaluation framework for modern QNNs, emphasizing robustness and system feasibility alongside predictive performance. Multiple architectures variational QNNs, quantum convolutional neural networks, tensor-network hybrids, and fully quantum models—are assessed under a unified protocol. Experimental analysis shows that the proposed architecture-search–guided QNN achieves 91.8% classification accuracy and an F1-score of 0.914, outperforming fixed-template variational QNNs by approximately 5.6 percentage points. Under depolarizing noise with probability p = 0.10, the proposed model retains 85.3% accuracy, whereas …

Integration Of Hybrid Quantum-Neuromorphic Ai With Cloud, Edge, And High-Performance Computing Environments, Arun B. Prasad, Ajay Prasad, Dineshkumar Rajendran, Anurag Tiwari, T. Akilan, Islombek Khushvaktov

Computer Science Faculty Publications

The convergence of quantum computing, neuromorphic learning, and distributed cloud infrastructures has occurred very rapidly, and intelligent systems are now providing new opportunities, but the challenge of instability, complexity of orchestration, and noise sensitivity remains in the way of practical integration. The proposed work is based on a hybrid quantum and neuromorphic architecture, which is the integration of event-based neuromorphic adaptation and quantum-assisted global optimization, orchestrated by cloud-HPC. The architecture presents the thermodynamically regularized learning and resourceful task scheduling to the probabilistic search and the continuous local adaptation. Experimental evaluation across financial modeling, medical imaging, and physical system prediction shows …

Quantum Machine Learning Models: Principles, Frameworks, And Computational Challenges, K. A. Jayabalaji, S. Venkata Anand, Dineshkumar Rajendran, Prasanta Chatterjee Biswas, Sardor Omonov, Rubaid Ashfaq

Computer Science Faculty Publications

Quantum machine learning (QML) has become an optimistic avenue of harnessing quantum computation in data-driven modeling, especially of issues with high dimensionality and complicated correlations. Current methods are generally based on fixed or over-parameterized quantum circuits, and hence restricted to scalability as well as unproductive optimization in real-world hardware. This chapter introduces a hybrid quantum-classical learning system that is adaptive and provides principled quantum data encoding, architecture-conscious variational circuit design and resource-optimal optimization. The technique is based on the concepts of quantum architecture search and subspace-preserving transformations to trade expressiveness with trainability, and discretize the quantum model into a classical …

Cognitive Prosthetic: An Ai-Enabled Multimodal System For Episodic Recall In Knowledge Work, Lawrence Obiuwevwi, Krzystof J. Rechowicz, Vikas Ashok, Sachin Shetty, Sampath Jayarathna

Computer Science Faculty Publications

Modern knowledge workplaces increasingly strain human episodic memory as individuals navigate fragmented attention, overlapping meetings, and multimodal information streams. Existing workplace tools provide partial support through note-taking or analytics but rarely integrate cognitive, physiological, and attentional context into retrievable memory representations. This paper presents the Cognitive Prosthetic Multimodal System (CPMS)—an AI-enabled proof-of-concept designed to support episodic recall in knowledge work through structured episodic capture and natural language retrieval. CPMS synchronizes speech transcripts, physiological signals, and gaze behavior into temporally aligned, JSON-based episodic records processed locally for privacy. Beyond data logging, the system includes a web-based retrieval interface that allows users …

Contextual Scaffolding And Self-Efficacy: Supporting Computer Skill Development Among Blind Learners In India, Akshay Kolgar Nayak, Yash Prakash, Sampath Jayarathna, Hae-Na Lee, Vikas Ashok

Computer Science Faculty Publications

Inclusive computer literacy education efforts, broadening the participation of blind or visually impaired (BVI) individuals, have gained traction in recent years. Existing literature investigating these efforts primarily draws evidence from affluent Global North contexts, where accessibility resources and legal frameworks are relatively more mature. Little is known about the in-situ teaching and learning challenges faced by trainers and BVI students, respectively, in resource-constrained, multicultural Global South countries like India. To address this knowledge gap, we conducted a four-month contextual inquiry at two computer training centers catering to 94 BVI students in India. We notably observed a rigid, experience-driven training environment …

Voxvista: Enhancing Screen Reading Experience For Online User Comments, Yash Prakash, Akshay Kolgar Nayak, Mohammed Shoaib Alyaan, Sampath Jayarathna, Hae-Na Lee, Vikas Ashok

Computer Science Faculty Publications

Online discussions have become integral to how people exchange ideas, form opinions, and participate in collective deliberation. While sighted users can comfortably engage with online discussions, blind users who are dependent on screen readers are forced to listen to long threads narrated in a single, monotonic voice that lacks prosodic variation, rhythm, or emotion. This robotic auditory experience not only deteriorates the user engagement with the content but also increases cognitive strain, by making it difficult to remain attentive and discern meaning beyond literal words. In an interview study, most blind participants reported that monotonous narration hindered their ability to …

Modeling Joint Visual Attention In Naturalistic Dyadic Interactions, Kuushini Thennakoon, Yasasi Abeysinghe, Bhanuka Mahanama, Vikas Ashok, Sampath Jayarathna

Computer Science Faculty Publications

Joint visual attention (JVA) provides important insight into how individuals coordinate attention during social interaction. Egocentric eye tracking enables the study of JVA in natural, multi-user settings. This work presents a multi-stage framework to identify and analyze JVA using egocentric video and gaze data. The approach consists of three steps: spatiotemporal tube-based visual similarity, gaze-guided object detection, and attention pattern analysis using the ambient–focal coefficient K. Results show that object-focused collaborative activities exhibit high JVA, with object detection capturing higher joint attention than visual similarity, whereas conversation-based or independent activities show lower and more fragmented joint attention. Analysis of K …

The Privacy Paradox Of Llms: User Perceptions And The Reality Of Pii Leakage, Shuai Cheng, Haitao Xu, Shu Meng, Shuai Hao, Chuan Yue, Zhao Li

Computer Science Faculty Publications

Large language models (LLMs) are increasingly deployed, yet they introduce significant privacy risks by disclosing personally identifiable information (PII) during interactions. Although prior work has demonstrated the feasibility of extracting PII from LLMs, no comprehensive study has evaluated the actual extent of PII leakage across mainstream LLMs or investigated user perceptions, literacy, and behavioral responses to these risks. To address these gaps, we conduct a large-scale evaluation of PII leakage in popular LLMs, demonstrating that attackers can extract email addresses and phone numbers with high success rates. Through a mixed-methods study involving 20 interviews and 204 survey participants, we identify …

Stochastic Fractional-Order Memristive Fuzzy Bam Neural Networks With Time Delays And Leakage Term For Finite-Time Stability Analysis, J. Kumar, M. Syed Ali, Sumaya Sanober, Mohammad Yarish, Abeer M. Alotaibi, Tarek F. Ibrahim

Computer Science Faculty Publications

In this study, a finite-time stability analysis with time delays and a leakage term is conducted on stochastic fractional-order memristive fuzzy BAM neural networks. FOMFBAMNNs are developed using set-valued map theories as well as differential inclusion. We obtained several significant adequate criteria of uniform stability in the mean square of such networks by using analytical methods and inequality approaches, such as Cauchy–Schwarz inequality and Burkholder–Davis–Gundy inequality. In addition to examining two different fractional-order derivatives between the U-layer and V-layer synchronously with fractional order, the existence, uniqueness, and stability of its equilibrium point are also shown ½ ≤ α ≤ 1. …