Conference Program


Program at a Glance


All times are in US Eastern time. Click any session below to jump to its details. A printable PDF is also available.

Tuesday, August 4

Wednesday, August 5

Thursday, August 6

  • Schenley Ballroom
  • Forbes Room
  • Oakland Room
  • Carnegie Room

Technical Program


Full paper titles and authors for each session, with the session date, time, and room.

Regular Papers

Session 1: Large Language Models Multi-Agent Systems and Clinical NLP

Tuesday, August 4, 202611:00 AM – 12:15 PMSchenley Ballroom
  • Longitudinal Behavioral Change Coaching with Multi LLM Agents: Multi-Scale Summaries and Automated Dialogue Steering

    Hansong Zhou, Zachary Skalski-Fouts, Linh Nguyen, Carson Rivera, Bonnie Spring, Hongyu Miao, Xiaonan Zhang (FSU)

  • TrialSim-10k: A Logic-Anchored Interactive Benchmark for Evaluating the Resilience of LLMs in Clinical Trial Eligibility Auditing

    Erdong Chen (University of Massachusetts Lowell), Zhang Zhang, Kejun Zou (TrialVAI INC.), Haoran Wang (University of Massachusetts Lowell), Zhongxi Qiu (Southern University of Science and Technology), Yu Cao, Benyuan Liu (University of Massachusetts Lowell)

  • Validated Multi-Agent Simulation for Dementia Care: LLM-Based Agents with Biometric Feedback

    Connor Murphy (University of Tennessee, Knoxville), Xiaopeng Zhao (University of Mississippi), Hairong Qi (University of Tennessee, Knoxville)

  • Human-AI Collaborative Framework for Identifying Behavioral Health Conditions from Clinical Notes

    Abm adnan Azmee, Francis Nweke, Md Abdullah Al Hafiz Khan, Yong Pei (Kennesaw State University)

  • Secure AI Orchestration for Digital Health with Differentially Private Analytics and Adaptive Group Coaching

    Nariman Mani (Nutrosal Inc), Salma Attaranasl, Bahman Sistany (Nutrosal Inc.), Tomas Cerny (University of Arizona)

  • From Detection to Forecasting: An Empirical Study of College Student Mental Health Using Smartphone Sensing

    Jheel Kishore Gala (North Carolina State University), Asher Sprigler (Purdue University), Priyanshu Rajeshbhai Malaviya, Elizabeth Shen (North Carolina State University), Yixue Zhao (Yixue Research Institute), Yi Ding (Purdue University), Xipeng Shen (North Carolina State University)

Session 2: Trustworthy AI Explainability and Privacy in Healthcare

Tuesday, August 4, 20264:00 PM – 5:15 PMSchenley Ballroom
  • Multimodal Routing for Interpretable, Robust, and Auditable Clinical Prediction

    Nikkie Hooman, Zhongjie Wu, Eric Larson, Mehak Gupta (Southern Methodist University)

  • Membership Inference Attacks Expose Participation Privacy in ECG Foundation Encoders

    Ziyu Wang, Elahe Khatibi (University of California, Irvine), Ankita Sharma, Krishnendu Chakrabarty (Arizona State University), Sanaz Rahimi Moosavi (California State University, Dominguez Hills), Farshad Firouzi (Arizona State University), Amir Rahmani (University of California, Irvine and TU Wien)

  • NEURON: A Neuro-symbolic System for Grounded Clinical Explainability

    Anuradha Chandrasekaran (University of North Texas), Dimitrios Zikos (Texas Tech University Health Sciences Center), Mutlu Mete (University of North Texas), Alan Pang (Texas Tech University Health Sciences Center), Brady D. Lund, Kewei Sha (University of North Texas)

  • Beyond Silos: Anchoring Trustworthy AI in Cross-Domain Knowledge Graphs for Rural Health Resilience

    Shenglin Li, Xiaoming Guo, Fabricio Gutierrez Juarez, Jiacheng Cao, Connor Kulawiak, Jiaqi Gong (University of Alabama)

  • Evolving Sparse P2P Networks for Federated Survival Prediction with Adaptive Utility

    Navid Seidi (Missouri University of Science and Technology), Satyaki Roy (University of Alabama in Huntsville), Sajal K. Das (Missouri University of Science and Technology)

  • Investigating Trustworthiness of Nonparametric Deep Survival Models for Alzheimer's Disease Progression Analysis

    Jacob Thrasher, Kaitlyn Heintzelman, David Kotlowski, Peter Martone (West Virginia University), Binod Bhattarai (University of Aberdeen), Donald Adjeroh, Prashnna Gyawali (West Virginia University)

Session 3: Deep Learning for Medical Imaging and Biomedical Analysis

Wednesday, August 5, 20261:30 PM – 2:45 PMSchenley Ballroom
  • DySTGT-: Learning Interpretable Dynamic Brain Connectivity for Motor-Related BCI via Spatio-Temporal Graph Transformer

    Shanruo Xu, Haipeng Wang (Duke Kunshan University), Runkun Guo (Boston University), Ming-Chun Huang (Duke Kunshan University)

  • NeuroLens: A Multimodal Patient Digital Twin System for Early Screening and Real-Time Monitoring of Parkinson's Disease

    Zixu Geng (Duke Kunshan University), Shih-Ching Yeh (National Central University), Xiaowei Xu, Jian Zhuang (Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of South China Structural Heart Disease, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Science), Jingwei Li, Ruitian Wu (Duke Kunshan University), Feng Lin (Zhejiang University), Wenyao Xu (University At Buffalo), Ming-Chun Huang (Duke Kunshan University)

  • Deep Learning Based Intestine Anatomical Sections Localization in Colonoscopy

    Xiaolong Liang, Qilei Chen, Yuxuan He, Erdong Chen, Yu Cao, Benyuan Liu (University of Massachusetts Lowell)

  • A Framework for Automated Tracking of Morphologically Distinct Cell Populations in Time-Lapse Microscopy

    Prateek Verma, Chloe A. Kuebler, Minh-Hao Van, Adam C. Paré, Xintao Wu (University of Arkansas)

  • Confidence-Gated Cloud-Edge Cascade Triage via Variational Risk Minimization for Medical Imaging

    Xinye Yang (Brown University), Zhusi Zhong, Scott Collins, Michael Bernstein, Grayson Baird, Terrence Healey, Michael Atalay, Mahesh Jayaraman (Brown University, Brown University Health), Xuyu Wang (Florida International University), Zhicheng Jiao (Rhode Island Hospital, Brown University, Brown University Health)

  • NUSAN: Medical Data Cleaning to Improve Class Separation with Minimal Structural Changes

    Chi Phuong Ngoc Huynh, James Weimer (Vanderbilt University)

Session 4: Advanced Sensing Cross-Modal Signal Generation and Edge Intelligence

Thursday, August 6, 20268:30 AM – 9:45 AMSchenley Ballroom
  • LiftSafe: Predicting Unsafe Repetitions in Strength Training using a Single Wearable Sensor

    Adiba (Stony Brook University), Hunter J. Bennett (Old Dominion University), Shubham Jain (Stony Brook University)

  • P2Es: Physiology-Conditioned Diffusion for 12-Lead ECG Generation from PPG

    Hui Ji, Wei Gao, Pengfei Zhou (University of Pittsburgh)

  • SAFE: Sensor-Aware Fusion Engine for Fault-resilient In-home Health Activity Monitoring

    Jingye Xu (the University of Texas at San Antonio), Xiaomeng Wang (University of Texas Health Center at Houson), Jia Liu (UT Health San Antonio), Riham Chowdhury (the University of Texas at San Antonio), Yuntong Zhang (Prairie View A&M University), Mimi Xie (University of Texas at San Antonio), Jianwei Niu (The University of Texas at San Antonio), Lixin Song (University of Texas at San Antonio), Dakai Zhu (The University of Texas at San Antonio), Wei Wang (University of Texas at San Antonio)

  • KD-Judge: A Knowledge-Driven Automated Judge Framework for Functional Fitness Movements on Edge Devices

    Shaibal Saha, Fan Li, Yunge Li (Oakland University), Arun Iyengar (Intelligent Data Management and Analytics, LLC), Lucas Alves, Lanyu Xu (Oakland University)

  • PhysQual: A Quality-Aware Learning Framework for Robust Remote Photoplethysmography

    Farida Mohamad, Farhana Zulkernine (School of Computing, Queen's University), Kim Sears (School of Nursing, Queen's University)

  • GoodVibes: Personalized Sports Injury Detection via Dual Gait Vector Context-Aware Learning of Human-induced Floor Vibrations

    Jinsi Guo (University of Illinois Urbana-Champaign), Yiwen Dong (University of Illinois, Urbana-Champaign)

Short Papers

Short Paper Session 1: LLMs, Knowledge Graphs, and Digital Phenotyping for Clinical Support

Tuesday, August 4, 20265:15 PM – 6:15 PMSchenley Ballroom
  • Digital Phenotyping of Emotional Support: Predicting Feelings of Love from Adolescent Smartphone Text Messaging Data

    Amanda Glime, Mahesh Babu Kommalapati, Christie Rizzo (Northeastern University), Charlene Collibee (Providence University), Aarti Sathyanarayana (Northeastern University)

  • DietTreeTalk: Translating Single Decision Tree Rules into LLM Reasoning for Explainable Diet Quality-Driven Diabetes Prediction

    Amy Lai (Davis Senior High School), Ashikur Nobel, Julia Fang (Yeshiva University)

  • Healthcare-targeted Malicious URL Detection using LLM Integrated Dynamic Sandbox Environment

    Md Raihan Mia (Department of Computer Science, Marquette University, Milwaukee, WI, USA), Md Ishrak Islam Zarif (Marquette University, Milwaukee, Wisconsin, USA), MD Abdul Barek (PhD Student at Intelligent Systems and Robotics, University of West Florida, FL, USA), Md Bajlur Rashid (Center for Cybersecurity, University of West Florida, Pensacola, FL, USA), Keyang Yu (Marquette University), Sheikh Iqbal Ahamed (Marquette University, Milwaukee, Wisconsin, USA)

  • Generating High-Fidelity Synthetic Mental Health Records with Expert-in-the-Loop Verification

    Liying Wang (Florida State University), Shivansh Juneja (University of North Texas), Sylvie Naar, Madison Lee (Florida State University), Kewei Sha (University of North Texas), Krish Shah (University of Washington), Sara Green (Florida State University), Yunhe Feng (University of North Texas)

  • An Interactive LLM-Based Simulator for Dementia-Related Activities of Daily Living

    Kruthika Gangaraju (Worcester Polytechnic Institute), Shu-Fen Wung (University of California, Davis), Kevin Berner (MGH Institute of Health Professionals), Jing Wang (University of New Hampshire), Fengpei Yuan (Worcester Polytechnic Institute)

  • DualCareKG: Integrating Clinical and Patient Knowledge Graphs for Dementia Caregiver Support

    Md Mushfique Hossain, Nazmus Shakib Shadin, Aaron Cummings, Xinyue Zhang, Modupe Akintomide (Kennesaw State University)

  • Large Language Models for Automatic ICD-10 Coding in Cancer Treatment and Billing: An Academic-Industry Partnership

    Md Muntasir, Dana Rollison, Kedar Kulkarni, Issam El Naqa, Timothy Hembree, Mukund Sridhar, Chandan Challa, Lynn Ansley, Robert Norberg (Moffitt Cancer Center), Daniel Spellman, Bryan Barker (Oracle Corporation), Mona G Flores, Jesse Tetreault (NVIDIA Corporation), Ted Jerse, Morgann Carlon, Matthew G Crowson, Jeet Dutta, Siddharth Garg, Daniel D Ferrante4 (Deloitte LLP), Thanh Thieu (Moffitt Cancer Center)

Short Paper Session 2: Contactless Physiological Monitoring and Geriatric Sensing

Wednesday, August 5, 20264:15 PM – 5:15 PMSchenley Ballroom
  • Toward Vision-Based Parkinson's Assessment: Qualitative STS and Physiologically Constrained Turning

    Kaiyang Qian (University of Colorado Denver), Yankai Zhao (Lehigh University), Xinmin Fang (University of Colorado Denver), Mooi Choo Chuah (Lehigh University), Zhengxiong Li (University of Colorado Denver)

  • NIRNet: A Conditional GAN Framework for Transforming Non-NIR PPG Signals into NIR-Equivalent Waveforms for Contactless Physiological Monitoring

    Kazi Zawad Arefin (Adams State University), Nafi Us Sabbir Sabith (University of Wisconsin - Green Bay), Sayed Mashroor Mamun (GE Healthcare Technologies), Kazi Shafiul Alam (Division of Science Mathematics and Technology, Governors State University), Sheikh Iqbal Ahamed (Marquette University, Milwaukee, Wisconsin, USA)

  • Deep Slice-Level Learning for Brain MRI Analysis: Toward Reliable Subject-Level Dementia Analysis

    Soarov Chakra Borty, Modupe Adewuyi, Nazmus Sakib (Kennesaw State University)

  • When PPG Meets ECG: Uncovering the Risks of Cross-Modal Biometric Matching

    Linfeng Zhu, Kunning Shen, Chenhan Xu, Huining Li (North Carolina State University)

  • RFID-based Real-Time Geriatric Gait Speed Monitoring System: Design, Implementation and Clinical Evaluation

    Natong Lin, Jiachen Wang (School of Computing, University of Connecticut), Lisa C. Barry (School of Medicine, University of Connecticut), Song Han (School of Computing, University of Connecticut)

  • Equitable rPPG: Heart Rate Estimation for High-Melanin Skin using Triple-Stream 3D-CNNs

    Md Martuza Ahamad (Ubicomp Lab, Computer Science, Marquette University, Milwaukee, WI 53233, USA), Kazi Shafiul Alam (Division of Science Mathematics and Technology, Governors State University, IL 60517, USA), Sakifa Aktar (Ubicomp Lab, Computer Science, Marquette University, Milwaukee, WI 53233, USA), Jonathan Hubbard (Ubicomp Lab, Marquette University, Milwaukee, WI 53233, USA), Sheikh Iqbal Ahamed (Ubicomp Lab, Computer Science, Marquette University, Milwaukee, WI 53233, USA)

  • Decoupling Perception and Reasoning for Contactless Respiratory Rate with Vision Language and Small Language Models

    Shadman Sakib (University of Maryland Baltimore County), Gaurav Shinde (University of Maryland, Baltimore County), Nirmalya Roy (University of Maryland Baltimore County)

Short Paper Session 3: Wearables IMU and Wireless Sensing for Health Monitoring

Wednesday, August 5, 20265:15 PM – 6:15 PMSchenley Ballroom
  • IMUVIE: Generalizable Pickup Measurement via Motion Movies

    John Clapham, Matthew Chen, Omid Mersa, Kenneth Koltermann, Yanfu Zhang, Yuming Sun, Evie N. Burnet, Gang Zhou (William & Mary)

  • Physiohub: A Wirelessly Synchronized Multi-Node Wearable System

    Blaine Rothrock, Alexander Curtiss, Thomas Cohen (Northwestern University), Josiah Hester (Georgia Institute of Technology)

  • Physiological Workload Estimation from Single-Lead ECG via Learnable Time-Frequency Representations

    Sajad Farrokhi (Florida International University), Waltenegus Dargie (Technische Universitaet Dresden), Christian Poellabauer (Florida International University)

  • Uncertainty Aware and Scalable WiFi CSI Sensing with Large Language Models

    Yujie Sun (Auburn University), Xuyu Wang (Florida International University), Guanqun Cao (Michigan State University), Shiwen Mao (Auburn University)

  • Evaluating Self-Supervised Pretraining for Wrist-Worn Physiological Signals in Cardiac Estimation and Gesture Recognition

    Kexin Geng (UNC Chapel Hill), Siying Chen (Duke University), Ran Liu (Apple), Tingjun Chen (Duke University), Jingping Nie (UNC Chapel Hill)

  • Revisiting Time-Domain Interpretability for Self-Supervised IMU Sensing Models

    Yiting Wang, Tianya Zhao, Xuyu Wang (Florida International University)

  • X4Gait: Cross-Modal Supervision for Practical IMU-based Dual-Task Gait Recognition

    Patrick Wu, Honghui Xu, Xinyue Zhang, Zongxing Xie (Kennesaw State University), Fan Ye (Stony Brook University)

Short Paper Session 4: Advanced Diagnostics and Clinical Assessment

Thursday, August 6, 20269:45 AM – 10:45 AMSchenley Ballroom
  • A Hierarchical Deep Learning Framework for Gastric Anatomy Localization

    Yanhua Si (University of Massachusetts Lowell), Qiangfang Lan (Zhoushan Putuo District People's Hospital), Qilei Chen, Yiqin He, Yu Cao, Benyuan Liu (University of Massachusetts Lowell), Wei Shao (Zhoushan Putuo District People's Hospital)

  • Exploring Exertion-Aware AI Auscultation: Addressing Exercise-Induced Murmurs to Reduce False Pathological Alerts

    Yixin Zhang, Shaaf Ahmad, Faisal F Syed, Jingping Nie (UNC Chapel Hill)

  • CARE-ECG: Causal Agent-based Reasoning for Explainable and Counterfactual ECG Interpretation

    Elahe Khatibi, Ziyu Wang (University of California, Irvine), Ankita Sharma, Krishnendu Chakrabarty (Arizona State University), Sanaz Rahimi Moosavi (California State University, Dominguez Hills), Farshad Firouzi (Arizona State University), Amir Rahmani (University of California, Irvine)

  • A Modality-Adaptive System for Real-World Colorectal Polyp Classification

    Erdong Chen, Qilei Chen (University of Massachusetts Lowell), Yingyun Yang, Wenmo Hu, Dong Wu, Aiming yang (Peking Union Medical College Hospital), Xiaolong Liang, Yu Cao, Benyuan Liu (University of Massachusetts Lowell)

  • MTMed3D: A Multi-Task Transformer-Based Model for 3D Medical Imaging

    Fan Li (Oakland University), Arun Iyengar (Intelligent Data Management and Analytics, LLC), Lanyu Xu (Oakland University)

  • Patch-MoE Mamba: A Patch-Ordered Mixture-of-Experts State Space Architecture for Medical Image Segmentation

    Diego Adame, Jose A. Nunez, Fabian Vazquez, Huimin Li, Jinghao Yang, Erik Enriquez, DongChul Kim, Haoteng Tang, Bin Fu, Pengfei Gu (The University of Texas Rio Grande Valley)

  • PULSE: A Principled Framework for Multimodal Speech Sound Disorder Assessment Using Ultrasound Tongue Imaging

    Varun Shijo (University at Buffalo), Anarghya Das (SUNY Buffalo), Wei Bo (University at Buffalo, the State University of New York (SUNY)), Shuwei Hou, Ling-Yu Guo (University at Buffalo), Jun Xia (University at Buffalo, SUNY), Wenyao Xu (University At Buffalo)

Short Paper Session 5: Computational Health Methods Prediction and Systems

Thursday, August 6, 202611:00 AM – 12:00 PMSchenley Ballroom
  • Personalized Speed of Processing Training Online (pSOPT Online): A General Cloud-based Framework for Personalized Speed of Processing Training Tasks

    Cristiano Tapparello (University of Rochester), Mia Anthony, Adam Turnbull (Stanford University), Josef Lenz (University of Rochester), Feng V. Lin (Stanford University)

  • CoughNet: A Lightweight, Low-Cost, and Energy-Efficient Multiple Coughers Detection and Identification System

    Amir Esmaeili, Maryam Fazli, Dali Ismail (Binghamton University)

  • A Multi-target Bayesian Transformer Framework for Predicting Cardiovascular Disease Biomarkers during Pandemics

    Trusting Inekwe, Winnie Mkandawire (SUNY Polytechnic Institute), Emmanuel O. Agu (Worcester Polytechnic Institute), Andres Colubri (UMass Chan Medical School)

  • HydroCare: Energy-Efficient Framework for Hydration Monitoring using Time-of-Flight Imaging

    Harshavardhan Sasikumar, Alireza Mohammadshafie, Sarah Deemer, Xiaohui Yuan (University of North Texas), Sara Murphy, Sarah Ross (University of North Texas Health), Mahdi Pedram (University of North Texas)

  • Event-Duration Distribution Modeling and Co-Adapted Ensembles for Speech-Based ADRD Screening

    Wei Bo, Manav Madhusudhana Kanaganapalli (University at Buffalo), Wenyao Xu (University At Buffalo)

  • Adaptive Time-Series Forecasting through Reinforcement Learning Enhanced Attention

    Minaskhi Debnath (Department of Computer Science, Texas State University), Joshua T Chang (Dell Medical School at the University of Texas at Austin), Anne Ngu (Texas State University)

  • Bootstrapping Methodological Governance: A Deterministic Framework for Validating Public Health Data Analysis

    Xiaoming Guo, Shenglin Li, Connor Kulawiak, Fabricio Gutierrez Juarez, Jiaqi Gong (University of Alabama)

Keynotes


Keynote: Bin He

Tuesday, August 4, 20269:00 AM – 10:00 AMSchenley Ballroom

Speaker: Bin He, Trustee Professor, Biomedical Engineering, Carnegie Mellon University

Topic: Bidirectional Brain-Computer Interfaces: Challenges and Opportunities

More details →

Keynote: Guoliang Xing

Tuesday, August 4, 20261:30 PM – 2:30 PMSchenley Ballroom

Speaker: Guoliang Xing, Professor, Department of Information Engineering, The Chinese University of Hong Kong

Topic: To be announced

More details →

Keynote: Goli Yamini

Wednesday, August 5, 20269:00 AM – 10:00 AMSchenley Ballroom

Speaker: Goli Yamini, Associate Program Director, National Science Foundation (NSF)

Topic: To be announced

More details →

Panels


Clinical Panel

Tuesday, August 4, 20262:45 PM – 4:00 PMSchenley Ballroom

Topic: Physicians and clinical practitioners share firsthand perspectives on the most pressing challenges in patient care, clinical workflow, remote monitoring, diagnosis, treatment support, health equity, and care coordination.

Panelists:

  • Juan C. Celedon (UPMC Children's Hospital of Pittsburgh)
  • Christopher deFilippi (University of Maryland School of Medicine)
  • Goeran Fiedler (University of Pittsburgh)
  • Florence Doo (University of Maryland School of Medicine)

More details →

Industry Panel

Wednesday, August 5, 20262:45 PM – 4:00 PMSchenley Ballroom

Topic: Company CEOs, incubator leaders, and technology managers discuss commercialization pathways, regulatory and reimbursement considerations, interoperability, data governance, AI reliability, scalability, user adoption, and partnership models.

Panelists:

  • Beth Porter (C10 Labs)
  • Daguang Xu (Nvidia)
  • Zhang Zhang (TrialV.AI Inc.)
  • Josh Caputo (Humotech Inc.)

More details →

Demo / Poster Session

Tuesday, August 4, 20265:15 PM – 6:15 PMCarnegie Room

Topic: Breakthrough poster, poster, and demo presentations from accepted submissions.

More details →

Workshops


Please note that all workshop schedules are tentative and are subject to changes.

HARMONY 2026 Workshop

Aug 6Carnegie Room 1
9:00 – 9:30 AM Opening & Ice Breaking

Chair: Yixue Zhao (Yixue Research Institute)

9:30 – 10:45 AM Understanding & Verifying AI for Mental Health

Chair: Ping Wang (Stevens Institute of Technology)

Lightning-talk style: 10-minute talks followed by 5 minutes of Q&A.

  • Toward Contemplative LLM: A Modular Framework for Evaluating and Enhancing LLM Alignment in Mental Health

    Asher Sprigler (Purdue University), Yang-Yang Feng, Iftach Amir, Jonathan E. Bogard, Todd S. Braver (Washington University in St. Louis), Yi Ding (Purdue University), David Kinney (Washington University in St. Louis), Yixue Zhao (Yixue Research Institute)

  • AIM: A Framework for Understanding How AI Literacy Shapes Software Practitioners' Mental Well-Being

    Fairuz Nawer Meem, Brittany Johnson (George Mason University)

  • The Effect of AI Feedback on Confidence and Self-Assessment

    John Stallings, Cameron Jones (Stony Brook University)

  • Human-AI Social Bonds: Evaluating Connection with Multimodal Synchrony

    Grace Qiyuan Miao, Yanru (Joyce) Jiang, Yizhou (Louisa) Lyu, Rick Dale, Matthew Lieberman (University of California, Los Angeles)

  • Verifiable AI-Assisted Mental Health Diagnosis via Logical Reasoning

    Brian Hyeongseok Kim (University of Southern California)

10:45 – 11:00 AM Morning Break
11:00 AM – 12:30 PM From Prediction to Intervention

Lightning-talk style: 10-minute talks followed by 5 minutes of Q&A.

  • On-Device Language Models for Privacy-Preserving Stress Prediction: A Multimodal Evaluation on Mobile Health

    Ibukunoluwa Soyebo, Alyssa Donawa, Rodrigo Aguilar Barrios, Brice Patchou, Corey Baker (University of Southern California)

  • Optimizing Symptom Surveys with Machine Learning to Predict PTSD One Year Post-trauma

    Charles Prince (Case Western Reserve University), Hong Xie, Stephen Grider, Xin Wang (University of Toledo), Kevin S. Xu (Case Western Reserve University)

  • Towards LLM-Enhanced Cross-Domain Transfer Learning for Clinical Personality Prediction

    Tong Li, Joshua R. Oltmanns (Washington University in St. Louis)

  • Contemplative AI for Youth Stress: A New Paradigm for Digital Mental Health Support

    Eden Wu (North Allegheny Intermediate High School)

  • Moodoodle: Supporting Emotional Self-Reflection Through Generative Soundscapes

    Mindy Zheng, Subigya Nepal (University of Virginia)

  • Not All Nudges Land: Behavioral Controllability and Elaboration Quality in AI-Supported Journaling

    Nadia Mehjabin, Henry Kautz, Subigya Nepal (University of Virginia)

12:30 – 2:00 PM Lunch
2:00 – 3:30 PM Keynote + Panel

Speaker: David Creswell — William S. Dietrich II Professor of Psychology and Neuroscience, Carnegie Mellon University; CEO, Equa Health

Title: Digital mindfulness meditation training, respiration tracking AI, and health

Panelists:

  • David Creswell (keynote speaker) (Carnegie Mellon University; Equa Health)
  • Rayid Ghani (Distinguished Career Professor, Machine Learning Department and Public Policy, Carnegie Mellon University)
  • Josh Oltmanns (Assistant Professor of Psychological & Brain Sciences, Washington University in St. Louis; Licensed Clinical Psychologist)
  • Andrew Begel (Associate Professor, Software and Societal Systems, Carnegie Mellon University; Affiliate Professor, Information School, University of Washington)
3:30 – 3:45 PM Afternoon Break
3:45 – 4:45 PM Round Table Discussion

Tailored, small-group discussions; participants grouped by mutual interests to exchange ideas and find collaborators.

4:45 – 5:30 PM Award Ceremony & Next Steps

GenAI4HealthBI 2026: Generative AI for Smart Health and Biomedical Informatics

Aug 6Schenley Ballroom 1
2:00 – 3:00 PM Keynote Speech

Chair: Jingping Nie (University of North Carolina at Chapel Hill)

Speaker: Xiang Li — Assistant Professor, Massachusetts General Hospital (MGH) and Harvard Medical School (HMS), Department of Radiology

Title: From Pixel to Mind: Generative AI for Smart Health and Patient World Model

3:15 – 3:30 PM Coffee Break
3:30 – 4:30 PM Paper Session: Long Talks (5 papers)

Chair: Jingping Nie (University of North Carolina at Chapel Hill)

10-minute presentation + 2 minutes Q&A per paper.

  • Investigation on the Robustness of Acoustic Foundation Models on Post Exercise Speech

    Xiangyuan Xue, Yuyu Wang (University of North Carolina at Chapel Hill), Ruijie Yao, Xiaoyue Ni (Duke University), Xiaofan Jiang (Columbia University), Jingping Nie (University of North Carolina at Chapel Hill)

  • Towards Foundation Model-Based Stress and Emotion Recognition from Multimodal Physiological Signals

    Elahe Hosseini, Najmeh Nazari, Houman Homayoun, Setareh Rafatirad (University of California, Davis)

  • From Labels to Language: Zero-Shot Radiology Report Generation with Hybrid Retrieval Augmentation

    Taishi Nishizawa (Brown University), Ayesha Issah, Ana Fuertes-Brito (Bryant University), Kamran Manzoor (Tufts University), Zhicheng Jiao (Brown University), Nafees Qamar (Bryant University)

  • Evaluating a Multi-Specialty Mixture-of-Experts Framework for Medical Question Answering Using LLM Agents and a DSPy Dispatcher

    Dalia Khaizaran, Hamed Alhoori (Northern Illinois University)

  • LOGAR: A Local-Online Generate-Audit-Refine Framework for Mental Health De-identification

    Liying Wang (Florida State University), Shivansh Juneja (University of North Texas), Sylvie Naar, Madison Lee (Florida State University), Kewei Sha (University of North Texas), Krish Shah (University of Washington), Ailey Smith, Sara Green (Florida State University), Yunhe Feng (University of North Texas)

4:30 – 5:30 PM Paper Session: Short Talks (10 papers)

Chair: Yiting Wang (Florida International University)

5-minute presentation + 1 minute Q&A per paper.

  • AI-Care: A Conversational Agentic System for Task Coordination in Alzheimer's Disease Care

    Preyash Yadav, Michelle Cohn, Priyanka Koppolu, Amey Bharat Gohil, Tejas Patil, Hritvik Agarwal, Sasha Neil Pimento, Alyssa Weakley (University of California, Davis)

  • Human-Governed Multi-Agent Clinical Reasoning Framework

    Laith Alatwah, Stefan Andrei (Cleveland State University)

  • ReCLLaMA: A Reasoning-Centered LLM Agent for Medical Diagnosis

    Yang Zhao, Saiyun Dong, Xinghua Mindy Shi (Temple University)

  • From Closed-Set Classification to Open-Vocabulary Prediction: Stress Testing of SNOMED CT Relationship Prediction

    Bofan He, Huanying Gu, Jerry Cheng (New York Institute of Technology)

  • Agentic AI-driven Immersive Simulation: A Knowledge-Aware Virtual Training Platform for High Dose Rate (HDR) Brachytherapy

    Ronghua Xu, Kepha Barasa, Manoj Kumal, Xinyun Liu, Weihua Zhou (Michigan Technological University), Xin Qian (Stony Brook University Hospital)

  • Unraveling How Generative AI and Agentic AI Can Reshape the Scope of Digital Health: The Good, The Bad, and The Ugly

    Awan-Ur-Rahman, Ben Freeman, Anna Burkett (Kennesaw State University), Sweta Sneha (Dalton State College), Evelina Sterling (Morehouse School of Medicine), Nazmus Sakib (Kennesaw State University)

  • Order-Invariant ICD-10-CM Embedding for Readmission and Mortality Prediction: Toward Multimodal Generative Patient Models (poster)

    Xilin Wang (Northeastern University), Henry Zheng (Brown University), Moxin Wu (Affiliated Hospital of Jiujiang University), Tiffany Xiao (University of California, Santa Barbara), Levi Neuwirth (Brown University), Liqi Shu (University of Pittsburgh Medical Center)

  • Real-Time Neural Musculoskeletal Pose Estimation (demo)

    Shengkai Xu, Farnoosh Koleini, Muhammad Usama Saleem, Abbey Thomas, Ahmed Helmy, Pu Wang, Hongfei Xue (University of North Carolina at Charlotte)

  • Improving Clinical Note De-identification via Post-NER Verification and Candidate Expansion

    Zejun Zhou, Ruoqian Zhang, Zhicheng Jiao, Grayson Baird, Ugur Cetintemel (Brown University)

  • Reliability Stress Tests and Decision-Time Routing for Chest X-ray Vision-Language Models

    Xinye Yang, Zhusi Zhong, Scott Collins, Grayson Baird (Brown University Health), Xuyu Wang (Florida International University), Zhicheng Jiao (Brown University Health)

ARMH Workshop: AI-Powered Resilient Mobile Health — From AI-RAN to Application

Aug 6Schenley Ballroom 2
2:10 – 2:30 PM Opening Remarks

Chair: Tian Xie (Utah State University)

Speaker: Chixiang Chen, University of Maryland, Baltimore

2:30 – 3:30 PM ARMH Paper Session I

Chair: Yi Zhu (Wayne State University)

10-minute presentation for each paper.

  • E-SIMS: A Human-Centered Vision for Personalized Elderly Health Monitoring

    Haitham Y. Adarbah (Texas A&M University – Kingsville)

  • Rethinking Federated Learning for Mobile Health Therapeutic Research: A Principled Framework

    Rong Zhao (Pennsylvania State University), Yiwen Hu (University of Maryland, Baltimore County), Vernon M. Chinchilli (Pennsylvania State University), Chixiang Chen (University of Maryland, Baltimore)

  • Robust Long-Term Calibration of Vision-Based Ground Truth for Home-Based Human Tracking

    Bunnavit Sawangpiriyakij, Huijun Han, Fan Ye (State University of New York at Stony Brook)

  • Attack and Failure Indistinguishability in Wearable Systems: An End-to-End Pipeline Modeling Approach

    Munshi Saifuzzaman, Tian Xie (Utah State University)

  • PRISM: Predictive and Interpretable Multi-Omics Integration for Clinical Outcome Modeling

    Aaron Wang (Tongji University)

  • Speech-Based Concussion Detection Using CNNs: A Comparative Study of Acoustic Feature Representations for Digital Health Monitoring

    Rahmina Rubaiat, Christian Poellabauer (Florida International University)

3:30 – 3:40 PM Coffee Break
3:40 – 4:40 PM ARMH Paper Session II

Chair: Yiwen Hu (University of Maryland, Baltimore County)

10-minute presentation for each paper.

  • Towards Robust CLIP Adaptation for Medical Image Classification via Text Prototype Adaptation

    Zongxi Liu, Arush Kotta, Salvador Sanchez, Jie Ma, Yi Zhu (Wayne State University)

  • Beyond Blur: A Semantic Tri-view Pipeline for Teledermatology Gradability via Skin Micro-relief

    Robert Engel (Avalytiq LLC)

  • Heart2act Activity State Clustering for Longitudinal Heart Rate Data with Few Labels

    Wenchen Li, Isac Park (State University of New York at Stony Brook), Zongxing Xie (Kennesaw State University), Elinor Schoenfeld (Academic Medical Center at State University of New York at Stony Brook), Fan Ye (State University of New York at Stony Brook)

  • The WellnessWatch: A Wearable Device Integrating Fall Detection With Environmental Monitoring

    Rebecca Perkins, Moriom R. Momota (Union College)

  • When Caregiving Datasets Disagree: A Cross-Source Analysis of BRFSS and AARP/NAC Trends for Public Health Surveillance

    Awan-Ur-Rahman, Shane Adams, Jayda Richards, Evelina Wediman Sterling, Nazmus Sakib (Kennesaw State University)

  • Hierarchical Contrastive Multimodal Alignment for Contactless Sensing: An Empirical Study on Zero-shot mmWave-based HAR

    Andrew Morgan, Cheng Guo (University of North Carolina at Charlotte), Qiming Cao (Purdue University), Xi Niu, Hongfei Xue (University of North Carolina at Charlotte)

The 2nd Workshop on Sensing and Computing for Smart and Connected Health (SCH)

Aug 6Oakland Room
2:00 – 2:05 PM Opening Remarks
2:10 – 2:50 PM Session 1 — Intelligent Care Systems: Keynote 1

Speaker: Dr. Shijia Pan

30-minute talk + 10 minutes Q&A.

2:50 – 3:30 PM Session 1 — Intelligent Care Systems: Paper Presentations
  • Personalized Counterfactual Framework: Generating Potential Outcomes from Wearable Data

    Ajan Subramanian, Amir Rahmani (University of California, Irvine)

  • Beyond AHI: An Interpretable Causal-Discovery–Guided Framework for Sleep Recovery in Connected Health

    Saba A. Farahani, Elahe Khatibi, Manoj Vishwanath, Amir M. Rahmani, Hung Cao (University of California, Irvine)

  • MedIntelliX – AI-Powered Medical Decision Support System

    Hisham Panamthodi Kajahussain, Sampson Akwafuo (California State University Fullerton)

  • AlzGood: Validating Remote Care Systems in the Wild via an Interactive Deployment Framework

    Dong Yoon Lee (University of California, Merced), Alyssa Weakley, Tejas Patil (University of California, Davis), Hui Wei, Daniel Cardona, Shijia Pan (University of California, Merced)

3:30 – 3:40 PM Break
3:40 – 4:20 PM Session 2 — Physiological Sensing Systems: Keynote 2

Speaker: Dr. Fei Dou

30-minute talk + 10 minutes Q&A.

4:20 – 5:00 PM Session 2 — Physiological Sensing Systems: Paper Presentations
  • Forecasting Minute-by-Minute Stress, Anxiety, and Affective States Using Time-Series Analysis of Wearable Sensor Data

    Destiny Pounds (Meharry Medical College), Vibhuti Gupta (University of Texas Medical Branch), Himanshu Tripathi (The University of Alabama, Tuscaloosa), Subash Neupane (Meharry Medical College)

  • An Anomaly Detection Approach for Foot Displacement Detection in Power Wheelchairs

    Ziming Cui (Case Western Reserve University), Joseph Lerchbacker, Melissa R. Alcorn (VA Northeast Ohio Healthcare System), Steve J. A. Majerus, Kath M. Bogie (Case Western Reserve University), M. Kristi Henzel (VA Northeast Ohio Healthcare System), Kevin S. Xu (Case Western Reserve University)

  • Agentic Multimodal Sensing for Energy-Efficient Fall Detection in Powered Exoskeletons for Spinal Cord Injury

    Chengwei Zhou, Brandon Lee (Case Western Reserve University), Zhaoyan Jia (University of Southern California), Hoatian Yu, Xuming Chen, Christopher Pulliam, Steve Majerus (Case Western Reserve University), Massoud Pedram (University of Southern California), Sandra Hnat, Gourav Datta (Case Western Reserve University)

  • A Quality-Aware Framework for Contactless Respiratory Monitoring Under Variable Sensing Conditions

    Shadman Sakib, Milind Rampure, Nirmalya Roy (University of Maryland Baltimore County)

5:00 – 5:05 PM Conclusion

The 2nd Workshop on Data Quality-Aware, High-Performance, and Trustworthy AI Systems for Healthcare (TAIS4H)

Aug 6Schenley Ballroom 3
2:30 – 2:35 PM Welcome and Opening Remarks
2:35 – 4:15 PM Technical Paper Session

Session Moderator: Dr. Kewei Sha (University of North Texas)

  • An Efficient and Interpretable Learning Approach for Large-Scale Histopathology Data

    Charles Moore (Meharry Medical College), Vibhuti Gupta (University of Texas Medical Branch), Himanshu Tripathi (University of Alabama, Tuscaloosa), Subash Neupane (Meharry Medical College)

  • GuardChain: A Layered Middleware Framework for PII-Aware Guardrails in Healthcare and Financial LLM Agents

    Theophilus Siameh, Chun-Hung Liu, Eric Kudjoe Fiah (Mississippi State University)

  • Spatially Grounded Concept Bottleneck Models for Trustworthy Breast Ultrasound Diagnosis

    Moshiur Tonmoy, Dunren Che, Haitham Y. Adarbah, Afzel Noore (Texas A&M University-Kingsville)

  • A Two-Stage AI System for Interpretable ACL Tear Screening in Connected Health Environments

    Bach Pham, Sora Owada, Debanjali Banerjee (Earlham College)

  • X-Beat: An Explainable Framework for ECG Image Classification

    Mohammad Sadman Tahsin, Haitham Y. Adarbah, Afzel Noore (Texas A&M University-Kingsville)

4:15 – 4:20 PM Closing Remarks

mHealth Security Workshop

Aug 6Carnegie Room 2
2:30 – 2:40 PM Welcome and Opening Remarks
2:40 – 3:30 PM Keynote Talk

Speaker: Prof. Shiwen Mao, Auburn University

Title: Functional Data Analysis for Intelligent Wireless Sensing: Principles, Methods, and Applications

3:30 – 3:45 PM Break
3:45 – 4:45 PM Technical Paper Session

Each paper: 20 minutes (15-minute presentation + 5 minutes Q&A).

  • Secure Remote PPG-based Verification for mHealth under Heavy Facial Occlusion

    Saurab Dulal (Meta), Suravi Regmi (University of Memphis), Tianyuna Yu, Adam Thieme, Lixia Zhang (University of California, Los Angeles), Lan Wang (University of Memphis)

  • Enhancing NAC-ABE to Support Access Control for mHealth Applications and Beyond

    Fangshi Zhou, Tianming Zhao, Zhongmei Yao (University of Dayton)

  • X-Beat: An Explainable Framework for ECG Image Classification

    Zhen Hou, Yucheng Xie (Yeshiva University), Feng Li (Purdue University), Honggang Wang (Yeshiva University)

4:45 – 5:00 PM Closing Remarks / Informal Discussion