MAPer: A Multi-scale Adaptive Personalized Model for Temporal Human Behavior Prediction. - Sarah Masud Preum; John A. Stankovic; Yanjun Qi (CIKM, 2015)

Holmes: A Comprehensive Anomaly Detection System for Daily In-home Activities. - Enamul Hoque; Robert F. Dickerson; Sarah Masud Preum; Mark A. Hanson; Adam T. Barth; John A. Stankovic (DCOSS, 2015)

Detection of Runtime Conflicts among Services in Smart Cities. - Meiyi Ma; Sarah Masud Preum; William Tärneberg; Mohsin Y. Ahmed; Matthew Ruiters; John A. Stankovic (SMARTCOMP, 2016)

CityGuard: A Watchdog for Safety-Aware Conflict Detection in Smart Cities. - Meiyi Ma; Sarah Masud Preum; John A. Stankovic (IoTDI, 2017)

Simulating Conflict Detection in Heterogeneous Services of a Smart City: Demo Abstract. - Meiyi Ma; Sarah Masud Preum; John A. Stankovic (IoTDI, 2017)

User authentication using wrist mounted inertial sensors: poster abstract. - Md. Abu Sayeed Mondol; Ifat Afrin Emi; Sarah Masud Preum; John A. Stankovic (IPSN, 2017)

Conflict detection in online textual health advice: demo abstract. - Sarah Masud Preum; Md. Abu Sayeed Mondol; Meiyi Ma; Hongning Wang; John A. Stankovic (IPSN, 2017)

Preclude: Conflict detection in textual health advice. - Sarah Masud Preum; Md. Abu Sayeed Mondol; Meiyi Ma; Hongning Wang; John A. Stankovic (PerCom, 2017)

Preclude2 : Personalized conflict detection in heterogeneous health applications. - Sarah Masud Preum; Md. Abu Sayeed Mondol; Meiyi Ma; Hongning Wang; John A. Stankovic (Pervasive Mob. Comput., 2017)

Towards a cognitive assistant system for emergency response. - Sarah Masud Preum; Sile Shu; Jonathan Ting; Vincent Lin; Ronald D. Williams; John A. Stankovic; Homa Alemzadeh (ICCPS, 2018)

A Corpus of Drug Usage Guidelines Annotated with Type of Advice. - Sarah Masud Preum; Md. Rizwan Parvez; Kai-Wei Chang; John A. Stankovic (LREC, 2018)

A Behavior Tree Cognitive Assistant System for Emergency Medical Services. - Sile Shu; Sarah Masud Preum; Haydon M. Pitchford; Ronald D. Williams; John A. Stankovic; Homa Alemzadeh (IROS, 2019)

Information Seeking and Information Processing Behaviors Among Type 2 Diabetics. - Sarah Masud Preum; Kate Clark; Ashley Davis; Konstantine Khutsishvilli; Rupa S. Valdez (CoRR, 2019)

CognitiveEMS: a cognitive assistant system for emergency medical services. - Sarah Masud Preum; Sile Shu; Mustafa Hotaki; Ronald D. Williams; John A. Stankovic; Homa Alemzadeh (SIGBED Rev., 2019)

EMSContExt: EMS Protocol-Driven Concept Extraction for Cognitive Assistance in Emergency Response. - Sarah Masud Preum; Sile Shu; Homa Alemzadeh; John A. Stankovic (AAAI, 2020)

GRACE: Generating Summary Reports Automatically for Cognitive Assistance in Emergency Response. - M. Arif Imtiazur Rahman; Sarah Masud Preum; Ronald D. Williams; Homa Alemzadeh; John A. Stankovic (AAAI, 2020)

IMACS - an interactive cognitive assistant module for cardiac arrest cases in emergency medical service: demo abstract. - M. Arif Imtiazur Rahman; Sarah Masud Preum; John A. Stankovic; Leon Jia; Eimara Mirza; Ronald D. Williams; Homa Alemzadeh (SenSys, 2020)

MFED: A System for Monitoring Family Eating Dynamics. - Md. Abu Sayeed Mondol; Brooke Bell; Meiyi Ma; Ridwan Alam; Ifat Afrin Emi; Sarah Masud Preum; Kayla de la Haye; Donna Spruijt-Metz; John C. Lach; John A. Stankovic (CoRR, 2020)

Data Sets, Modeling, and Decision Making in Smart Cities: A Survey. - Meiyi Ma; Sarah Masud Preum; Mohsin Y. Ahmed; William Tärneberg; Abdeltawab M. Hendawi; John A. Stankovic (ACM Trans. Cyber Phys. Syst., 2020)

Technical Feasibility, Financial Viability, and Clinician Acceptance: On the Many Challenges to AI in Clinical Practice. - Nur Yildirim; John Zimmerman; Sarah Preum (HUMAN@AAAI Fall Symposium, 2021)

Challenges and Directions for Ambient Intelligence: A Cyber Physical Systems Perspective. - John A. Stankovic; Meiyi Ma; Sarah Masud Preum; Homa Alemzadeh (CogMI, 2021)

A Review of Cognitive Assistants for Healthcare: Trends, Prospects, and Future Directions. - Sarah Masud Preum; Sirajum Munir; Meiyi Ma; Mohammad Samin Yasar; David J. Stone; Ronald D. Williams; Homa Alemzadeh; John A. Stankovic (ACM Comput. Surv., 2021)

CitySpec: An Intelligent Assistant System for Requirement Specification in Smart Cities. - Zirong Chen; Isaac Li; Haoxiang Zhang 003; Sarah Masud Preum; John A. Stankovic; Meiyi Ma (SMARTCOMP, 2022)

An Intelligent Assistant for Converting City Requirements to Formal Specification. - Zirong Chen; Isaac Li; Haoxiang Zhang 003; Sarah Masud Preum; John A. Stankovic; Meiyi Ma (SMARTCOMP, 2022)

HealthE: Classifying Entities in Online Textual Health Advice. - Joseph Gatto; Parker Seegmiller; Garrett Johnston; Sarah Masud Preum (CoRR, 2022)

Investigating the Fidelity of Digital Peer Support: A Preliminary Approach using Natural Language Processing to Scale High-Fidelity Digital Peer Support. - Arya Kadakia; Sarah Masud Preum; Andrew R. Bohm; Karen L. Fortuna (HEALTHINF, 2023)

EMS-BERT: A Pre-Trained Language Representation Model for the Emergency Medical Services (EMS) Domain. - M. Arif Imtiazur Rahman; Sarah Masud Preum; Ronald D. Williams; Homa Alemzadeh; John A. Stankovic (CHASE, 2023)

emsReACT: A Real-Time Interactive Cognitive Assistant for Cardiac Arrest Training in Emergency Medical Services. - M. Arif Imtiazur Rahman; Leon Jia; Eimara Mirza; Sarah Masud Preum; Homa Alemzadeh; Ronald D. Williams; John A. Stankovic (DCOSS-IoT, 2023)

Chain-of-Thought Embeddings for Stance Detection on Social Media. - Joseph Gatto; Omar Sharif; Sarah Preum (EMNLP (Findings), 2023)

Statistical Depth for Ranking and Characterizing Transformer-Based Text Embeddings. - Parker Seegmiller; Sarah Preum (EMNLP, 2023)

The Scope of In-Context Learning for the Extraction of Medical Temporal Constraints. - Parker Seegmiller; Joseph Gatto; Madhusudan Basak; Diane J. Cook; Hassan Ghasemzadeh 001; John A. Stankovic; Sarah Preum (ICHI, 2023)

Scope of Pre-trained Language Models for Detecting Conflicting Health Information. - Joseph Gatto; Madhusudan Basak; Sarah Masud Preum (ICWSM, 2023)

HealthE: Recognizing Health Advice & Entities in Online Health Communities. - Joseph Gatto; Parker Seegmiller; Garrett M. Johnston; Madhusudan Basak; Sarah Masud Preum (ICWSM, 2023)

ActSafe: Predicting Violations of Medical Temporal Constraints for Medication Adherence. - Parker Seegmiller; Joseph Gatto; Abdullah Mamun; Hassan Ghasemzadeh 001; Diane J. Cook; John A. Stankovic; Sarah Masud Preum (CoRR, 2023)

Theme-driven Keyphrase Extraction from Social Media on Opioid Recovery. - William Romano; Omar Sharif; Madhusudan Basak; Joseph Gatto; Sarah Masud Preum (CoRR, 2023)

CitySpec with Shield: A Secure Intelligent Assistant for Requirement Formalization. - Zirong Chen; Issa Li; Haoxiang Zhang 003; Sarah Masud Preum; John A. Stankovic; Meiyi Ma (CoRR, 2023)

Text Encoders Lack Knowledge: Leveraging Generative LLMs for Domain-Specific Semantic Textual Similarity. - Joseph Gatto; Omar Sharif; Parker Seegmiller; Philip Bohlman; Sarah Masud Preum (CoRR, 2023)

Not Enough Labeled Data? Just Add Semantics: A Data-Efficient Method for Inferring Online Health Texts. - Joseph Gatto; Sarah Masud Preum (CoRR, 2023)

CitySpec with shield: A secure intelligent assistant for requirement formalization. - Zirong Chen; Isaac Li; Haoxiang Zhang 003; Sarah Preum; John A. Stankovic; Meiyi Ma (Pervasive Mob. Comput., 2023)

Investigating Generalizability of Speech-based Suicidal Ideation Detection Using Mobile Phones. - Arvind Pillai; Subigya Kumar Nepal; Weichen Wang 001; Matthew Nemesure; Michael V. Heinz; George D. Price; Damien Lekkas; Amanda C. Collins; Tess Griffin; Benjamin Buck; Sarah Masud Preum; Trevor Cohen; et al. (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2023)

Characterizing Information Seeking Events in Health-Related Social Discourse. - Omar Sharif; Madhusudan Basak; Tanzia Parvin; Ava Scharfstein; Alphonso Bradham; Jacob T. Borodovsky; Sarah E. Lord; Sarah Masud Preum (AAAI, 2024)

Deciphering Hate: Identifying Hateful Memes and Their Targets. - Eftekhar Hossain; Omar Sharif; Mohammed Moshiul Hoque; Sarah Masud Preum (ACL (1), 2024)

Sketching AI Concepts with Capabilities and Examples: AI Innovation in the Intensive Care Unit. - Nur Yildirim; Susanna Zlotnikov; Deniz Sayar; Jeremy M. Kahn; Leigh A. Bukowski; Sher Shah Amin; Kathryn A. Riman; Billie S. Davis; John S. Minturn; Andrew J. King; Dan Ricketts; Lu Tang 003; et al. (CHI, 2024)

Align before Attend: Aligning Visual and Textual Features for Multimodal Hateful Content Detection. - Eftekhar Hossain; Omar Sharif; Mohammed Moshiul Hoque; Sarah Masud Preum (EACL (Student Research Workshop), 2024)

Explicit, Implicit, and Scattered: Revisiting Event Extraction to Capture Complex Arguments. - Omar Sharif; Joseph Gatto; Madhusudan Basak; Sarah Masud Preum (EMNLP, 2024)

Theme-Driven Keyphrase Extraction to Analyze Social Media Discourse. - William Romano; Omar Sharif; Madhusudan Basak; Joseph Gatto; Sarah Masud Preum (ICWSM, 2024)

Mad Libs Are All You Need: Augmenting Cross-Domain Document-Level Event Argument Data. - Joseph Gatto; Parker Seegmiller; Omar Sharif; Sarah Masud Preum (CoRR, 2024)

Scope of Large Language Models for Mining Emerging Opinions in Online Health Discourse. - Joseph Gatto; Madhusudan Basak; Yash Srivastava; Philip Bohlman; Sarah Masud Preum (CoRR, 2024)

Do LLMs Find Human Answers To Fact-Driven Questions Perplexing? A Case Study on Reddit. - Parker Seegmiller; Joseph Gatto; Omar Sharif; Madhusudan Basak; Sarah Masud Preum (CoRR, 2024)

Depth F1: Improving Evaluation of Cross-Domain Text Classification by Measuring Semantic Generalizability. - Parker Seegmiller; Joseph Gatto; Sarah Masud Preum (CoRR, 2024)

MindScape Study: Integrating LLM and Behavioral Sensing for Personalized AI-Driven Journaling Experiences. - Subigya Nepal; Arvind Pillai; William Campbell; Talie Massachi; Michael V. Heinz; Ashmita Kunwar; Eunsol Soul Choi; Xuhai Orson Xu; Joanna Kuc; Jeremy F. Huckins; Jason Holden 001; Sarah M. Preum; et al. (CoRR, 2024)

A Thematic Framework for Analyzing Large-scale Self-reported Social Media Data on Opioid Use Disorder Treatment Using Buprenorphine Product. - Madhusudan Basak; Omar Sharif; Sarah E. Lord; Jacob T. Borodovsky; Lisa A. Marsch; Sandra A. Springer; Edward Nunes; Charlie D. Brackett; Luke J. ArchiBald; Sarah M. Preum (CoRR, 2024)

In-Context Learning for Preserving Patient Privacy: A Framework for Synthesizing Realistic Patient Portal Messages. - Joseph Gatto; Parker Seegmiller; Timothy E. Burdick; Sarah Masud Preum (CoRR, 2024)

MindScape Study: Integrating LLM and Behavioral Sensing for Personalized AI-Driven Journaling Experiences. - Subigya Nepal; Arvind Pillai; William Campbell; Talie Massachi; Michael V. Heinz; Ashmita Kunwar; Eunsol Soul Choi; Xuhai Xu; Joanna Kuc; Jeremy F. Huckins; Jason Holden 001; Sarah M. Preum; et al. (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2024)

Follow-up Question Generation For Enhanced Patient-Provider Conversations. - Joseph Gatto; Parker Seegmiller; Timothy E. Burdick; Inas S. Khayal; Sarah DeLozier; Sarah Masud Preum (ACL (1), 2025)

Document-Level Event-Argument Data Augmentation for Challenging Role Types. - Joseph Gatto; Omar Sharif; Parker Seegmiller; Sarah Masud Preum (ACL (1), 2025)

REGen: A Reliable Evaluation Framework for Generative Event Argument Extraction. - Omar Sharif; Joseph Gatto; Madhusudan Basak; Sarah M. Preum (CoRR, 2025)

Socially Constructed Treatment Plans: Analyzing Online Peer Interactions to Understand How Patients Navigate Complex Medical Conditions. - Madhusudan Basak; Omar Sharif; Jessica Hulsey; Elizabeth C. Saunders; Daisy J. Goodman; Luke J. ArchiBald; Sarah M. Preum (CoRR, 2025)