IEEE/ACM CHASE 2023
June 21-23, 2023 | Orlando, FL, USA

Program

CHASE 2023 - Program At A Glance. For PDF version, please click HERE.
Download Chase 2023 Papers HERE.
Elsevier Smart Health Journal Special Issue IEEE/ACM CHASE 2023

2023 CHASE Program 

June 21 (Day 1)  
08:00 - 8:45 Continental Breakfast    Cypress 3
08:45 - 9:00 Open remarks   Magnolia 13
09:00 - 11:00 NSF-NIH Aspiring Meeting  Magnolia 13
11:00 - 11:20 Coffee Break  
11:20 - 12:30 Plenary Session  Cypress 2
12:30 - 2:00 Lunch  
Cypress 3
13:30 - 14:30 Keynote (Wendy Nilsen), Session Chair: Shiwen Mao  Magnolia 13
14:45 - 15:30 Demo/poster lighting talks  Magnolia 13
15:30 - 16:00 Coffee Break  
16:00 - 17:20 Session 1: Disease Detection and Diagnosis (20 min each),  Session Chair: Jiang Li   Magnolia 13
1. Automatic Disease Detection in Endoscopy with Light Weight Transformer
 
(Zhang Zhang: Department of Computer Science, University of Massachusetts Lowell, Qilei Chen: Department of Computer Science, University of Massachusetts Lowell, Shuijiao Chen: Department of Gastroenterology, Xiangya Hospital of Central South University, Hunan, China, Xiaowei Liu: Department of Gastroenterology, Xiangya Hospital of Central South University, Hunan, China, Yu Cao: Department of Computer Science, University of Massachusetts Lowell, Benyuan Liu: Department of Computer Science, University of Massachusetts Lowell, Honggang Zhang: University of Massachusetts Boston)
2. Deep Learning for Gastric Location Classification: An Analysis of Location Boundaries and Improvements through Attention and Contrastive Learning 
(Chenxi Zhang: Department of Computer Science, University of Massachusetts Lowell, Alexander Ding: Department of Computer Science, Brown University, Zhehao Fu: Department of Computer Science, University of Wisconsin-Madison, Jing Ni: Department of Computer Science, University of Massachusetts Lowell, Zinan Xiong: Department of Computer Science, University of Massachusetts Lowell, Qilei Chen: Department of Computer Science, University of Massachusetts Lowell, Yu Cao: Department of Computer Science, University of Massachusetts  Lowell, BENYUAN LIU: Department of Computer Science, University of Massachusetts Lowell, Chenshui Jiao: Xiangya Hospital, Central South University, Xiaowei Liu: Xiangya Hospital, Central South University)

3. Interpreting High Order Epistasis Using Sparse Transformers  
(Miguel Graça: INESC-ID, Aleksandar Ilic: INESC-ID & Instituto Superior Técnico, Leonel Sousa: INESC-ID & Instituto Superior Técnico, Sergio Santander-Jiménez: University of Extremadura (UNEX), Cáceres, Spain, Diogo Marques: INESC-ID & Instituto Superior Técnico)     
4. Parkinson’s Disease Action Tremor Detection with Supervised-Leaning Models  
(Minglong Sun: William & Mary, Woosub Jung: William & Mary, Kenneth Koltermann: William & Mary, Gang Zhou: William & Mary, Amanda Watson: University of Pennsylvania, Ginamari Blackwell: Virginia Commonwealth University, Noah Helm: Virginia Commonwealth University, Leslie Cloud: Virginia Commonwealth University, Ingrid Pretzer-Aboff: Virginia Commonwealth University)
  

June 22 (Day 2)  
08:00 - 08:45 Continental Breakfast    Cypress 1
08:45 - 09:45 keynote (Dong Xu), Session Chair: Hua Fang   Magnolia 13
10:00 - 11:00  Session 2: Disease Treatment and Intervention (20 min each), Session Chair: Kewei Sha    Magnolia 13
1. Social Visual Behavior Analytics for Autism Therapy of Children Based on Automated Mutual Gaze Detection  
(Zhang Guo: University of Delaware, Vuthea Chheang: University of Delaware, Jicheng Li: University of Delaware, Kenneth E. Barner: University of Delaware, Anjana Bhat: University of Delaware, Roghayeh Leila Barmaki: University of Delaware)
2. FoG-Finder: Real-time Freezing of Gait Detection and Treatment
 
(Kenneth Koltermann: William & Mary, Woosub Jung: William & Mary, Gina Blackwell: Virginia Commonwealth University, Abbott Pinney: William & Mary, Matthew Chen: William & Mary, Leslie Cloud: Virginia Commonwealth University, Ingrid Pretzer-Aboff: Virginia Commonwealth University, Gang Zhou: William & Mary)     
3. Towards Dynamic Action Planning with User Preferences in Automated Health Coaching 
(Ajith Vemuri: University of Delaware, Megan Heintzelman: University of Delaware, Alex Waad: University of Delaware, Matthew Mauriello: University of Delaware, Keith Decker: University of Delaware, Gregory Dominick: University of Delaware)  
11:00 - 11:20 Coffee Break  
11:20 - 12:30 Plenary Session  Cypress 2
12:30 - 14:00 Lunch  
Cypress 1
14:00 - 15:20 Session 3: AI and Signal Processing for Health - I (20 min each),  Session Chair: Jiaqi Gong   Magnolia 13
1. Efficient and Direct Inference of Heart Rate Variability using Both Signal Processing and Machine Learning  
(Yuntong Zhang: University of Texas at San Antonio, Jingye Xu: University of Texas at San Antonio, Mimi Xie: University of Texas at San Antonio, Dakai Zhu: University of Texas at San Antonio, Houbing Song: University Of Maryland Baltimore County, Wei Wang: University of Texas at San Antonio)
2. EMS-BERT: A Pre-Trained Language Representation Model for the Emergency Medical Services (EMS) Domain 
(M Arif Rahman: University of Virginia, Sarah Masud Preum: Dartmouth College, Ronald D. Williams: University of Virginia, Homa Alemzadeh: University of Virginia, John Stankovic: University of Virginia)      
3. Active Reinforcement Learning for Personalized Stress Monitoring in Everyday Settings 
(Ali Tazarv: University of California, Irvine, Sina Labbaf: University of California, Irvine, Amir Rahmani: University of California, Irvine, Nikil Dutt: University of California, Irvine, Marco Levorato: University of California, Irvine)     
4. TransNet: Parallel Encoder Architecture for Human Pose Estimation 
(Chenxi Wang: University of Massachusetts Lowell, Zinan Xiong: University of Massachusetts Lowell, Ying Li: Guide Infrared, Yan Luo: University of Massachusetts Lowell, Yu Cao: University of Massachusetts Lowell)  
15:30 - 16:00 Coffee Break  
16:00 - 17:40 Session 4: Sensing for Smart Health (20 min each), Session Chair: Xuyu Wang   Magnolia 13   
1. DOVE: Shoulder-based Opioid Overdose Detection and Reversal Device 
(Anush Lingamoorthy: Drexel University, Amanda Watson: University of Pennsylvania, David Gordon: Thomas Jefferson University, Ayan Mandal: University of Pennsylvania, Korey Henderson: University of Pennsylvania, Xiaonan Ma: University of Pennsylvania, James Weimer: Vanderbilt University, Jacob S Brenner: University of Pennsylvania, Nagarajan Kandasamy: Drexel University)       
2. Detecting Eating, and Social Presence with All Day Wearable RGB-T 
(Soroush Shahi: Northwestern University, Sougata Sen: BITS Pilani, KK Birla Goa campus, Mahdi Pedram: Northwestern University, Rawan Alharbi: Northwestern University, Yang Gao: Northwestern University, Aggelos K Katsaggelos: Northwestern University, Josiah Hester: Georgia Institute of Technology, Nabil Alshurafa: Northwestern University)      
3. Virtual Therapy Exergame for Upper Extremity Rehabilitation Using Smart Wearable Sensors 
(Lauren Baron: University of Delaware, Vuthea Chheang: University of Delaware, Amit Chaudhari: University of Delaware, Arooj Liaqat: University of Delaware, Aishwarya Chandrasekaran: University of Delaware, Yufan Wang: University of Delaware, Joshua Cashaback: University of Delaware, ;Erik Thostenson: University of Delaware, Roghayeh Leila Barmaki: University of Delaware)
     
4. Respiratory Biofeedback Using Acoustic Sensing with Smartphones 
(Azhar Chara: California State University, Sacramento, Tianya Zhao: Florida International University, Xuyu Wang: Florida International University, Shiwen Mao: Auburn University)        
5. Exploring Earables to Monitor Temporal Lack of Focus during Online Meetings to Identify Onset of Neurological Disorders
(Garvit Chugh: Indian Institute of Technology Jodhpur, Suchetana Chakraborty: Indian Institute of Technology Jodhpur, Ravi Bhandari: Indian Institute of Technology, Jodhpur, Sandip Chakraborty: Indian Institute of Technology, Kharagpur)  
17:45 - 19:45: Reception + Demo/poster sessions + Best Paper Award  

June 23 (Day 3)  
08:00 - 08:45 Continental Breakfast    Cypress 2
08:45 - 09:45 keynote (Chenyang Lu), Session Chair: Gang Zhou   Magnolia 13
10:00 - 11:00 Session 5: Public Health (20 min each) , Session Chair: Wei Gao   Magnolia 13
1. Using Geographic Location-Based Public Health Features in Survival Analysis 
(Navid Seidi: Missouri University of Science and Technology, Ardhendu Tripathy: Missouri University of Science and Technology, Sajal K. Das: Missouri University of Science and Technology)        
2. Predicting Unreliable Response Patterns in Smartphone Health Surveys: A Case Study with the Mood Survey 
(Jaea Cho: Purdue University, Kexin Meng: Purdue University, Sudip Vhaduri: Purdue University)
3. Examining a Social-Based System with Personalized Recommendations to Promote Mental Health for College Studen​ts 
(Farhanuddin Fazaluddin Kazi: University of Minnesota Duluth, Jomara Sandbulte: University of Minnesota Duluth)  
11:00 - 11:20 Coffee Break  
11:20 - 12:30 Plenary Session  Cypress 2
12:30 - 14:00 Lunch  
Cypress 2
14:00 - 15:20 Session 6: AI and Signal Processing for Health – II (20 min each)), Session Chair: Fan Ye  Magnolia 13       
1. SimPPG: Self-Supervised Photoplethysmography-based Heart-rate Estimation via Similarity-Enhanced Instance Discrimination 
(Soumyadeep Bhattacharjee: Williamsville East High School, Huining Li: State University of New York at Buffalo, Jun Xia: State University of New York at Buffalo, Wenyao Xu: State University of New York at Buffalo)   
2. An Energy-Efficient Semi-Supervised Approach for On-Device Photoplethysmogram Signal Quality Assessment 
(Mohammad Feli: University of Turku, Iman Azimi: University of California, Irvine, Arman Anzanpour: University of Turku, Amir M. Rahmani: University of California, Irvine, Pasi liljeberg: University of Turku)  
3. Examining the Construct of HPV Vaccine Hesitancy and its Determinants using Randomized Neural Networks 
(Xishi Zhu: University of Alabama, Hee Yun Lee: University of Alabama, Jiaqi Gong: University of Alabama)    
4. RT-TRAQ: An Algorithm for Real-time Tracking of Faint Quasi-Periodic Signals in Noisy Time Series  
(Rishad Joarder: University of California at Davis, Begum Kasap: University of California at Davis, Soheil Ghiasi: University of California at Davis)  
15:30 - 16:00 Coffee Break  
16:00 - 18:10 – Session  7: 13 short papers (10 min each) , Session Chair: Shuangquan Wang   Magnolia 13
1. Short: Real-Time Bladder Monitoring by Bio-impedance Analysis to Aid Urinary Incontinence 
(Ruoyu Zhang: University of California Davis, Ruijie Fang: University of California Davis, Zhichao Zhang: University of California Davis, Elahe Hosseini: University of California Davis, Mahdi Orooji: University of California Davis, Houman Homayoun: University of California Davis, Gozde Goncu-Berk: University of California Davis) 
2. Short: Prediction of Fetal Blood Oxygen Content in Response to Partial Occlusion of Maternal Aorta 
(Weitai Qian: University of California, Davis, Hongtao Zhong: University of California, Davis, Soheil Ghiasi: University of California, Davis) 
3. Short: Racial Disparities in Pulse Oximetry Cannot Be Fixed With Race-Based Correction 
(Neal Patwari: Washington University in St. Louis, Di Huang: Washington University in St. Louis, Francesca Bonetta-Misteli: Washington University in St. Louis) 
4.Short: Towards Personalized Rehabilitation Employing Classification, Localization, and Visualization of Brain-Arm Movement Relationships (Soroush Korivand: Department of Mechanical Engineering, The University of Alabama, Xishi Zhu: Department of Computer Science, The University of Alabama, Nader Jalili: Department of Mechanical Engineering, The University of Alabama, Kyung Koh: Departments of Physical Therapy & Rehabilitation Science, University of Maryland, Li-Qun Zhang: Departments of Physical Therapy & Rehabilitation Science/Orthopaedics/Bioengineering, University of Maryland, Jiaqi Gong: Department of Computer Science, The University of Alabama) 
5. Short: Integrated Sensing Platform for Detecting Social Isolation and Loneliness In the Elderly Community 
(Xiayan Ji: University of Pennsylvania, Xian Li: University of Pennsylvania, Ahhyun Yuh: University of Pennsylvania, Claire Kendell: University of Pennsylvania, Amanda Watson: University of Pennsylvania, James Weimer: University of Pennsylvania, Hajime Nagahara: Osaka University, Teruo Higashino: Osaka University, Teruhiro Mizumoto: Osaka University, Viktor Erdélyi: Osaka University, George Demiris: University of Pennsylvania, Oleg Sokolsky: University of Pennsylvania, Insup Lee: University of Pennsylvania) 
6. Short: Liquid Thickness Sensing with Backscattered Signals for Dysphagia 
(Wei Sun: Ohio State University, Ishaan Chansarkar: Cornell University, Kannan Srinivasan: Ohio State University) 
7. Short: Basal-Adjust: Trend Prediction Alerts and Adjusted Basal Rates for Hyperglycemia Prevention 
(Chloe Smith: University of Virginia, Maxfield Kouzel: University of Virginia, Xugui Zhou: University of Virginia, Homa Alemzadeh: University of Virginia) 
8. Short: A Data-Driven Respirator Fit Test Model via Human Speech Signal 
(Jinmiao Chen: University of Oklahoma, Shangqing Zhao: University of Oklahoma, Zhaohe (John) Zhang: University of Oklahoma, Song Fang: University of Oklahoma, Thomas M. Peters: University of Iowa, Evan L. Floyd: The University of Oklahoma Health Sciences Center, Changjie Cai: The University of Oklahoma Health Sciences Center) 
9. Short: RF-Q: Unsupervised Signal Quality Assessment for Robust RF-based Respiration Monitoring 
(Zongxing Xie: Stony Brook University, Ava Nederlander: Stony Brook University, Isac Park: Stony Brook University, Fan Ye: Stony Brook University) 
10. Short: Precision Polysubstance Use Episode Detection in Wearable Biosensor Data Streams 
(​Joshua Rumbut: University of Massachusetts Dartmouth, USA and University of Massachusetts Chan Medical School, USA, Hua Fang: University of Massachusetts Dartmouth and University of Massachusetts Chan Medical School, USA, ​Edward W Boyer: Ohio State University and Harvard Medical School, USA, and Honggang Wang: Yeshiva University, USA)
11. Short: Causal Structural Learning of Conversational Engagement for Socially Isolated Older Adults 

(Fengpei Yuan: University of Tennessee, Knoxville, Wenjun Zhou: University of Tennessee, Knoxville, Hiroko H. Dodge: Harvard Medical School, Xiaopeng Zhao: University of Tennessee, Knoxville) 
12. Short: VANet: An Intuitive Light-Weight Deep Learning Solution Towards Ventricular Arrhythmia Detection 
(Tianyu Chen: University at Buffalo, SUNY, Alexander Gherardi: University at Buffalo, SUNY, Anarghya Das: SUNY Buffalo, Huining Li: SUNY University at Buffalo, Chenhan Xu: University at Buffalo, SUNY, Wenyao Xu: SUNY Buffalo) 
13. Short: Deep Learning Approach to Skeletal Performance Evaluation of Physical Therapy Exercises 
(Bhanu Garg: University of California San Diego, Sujit Dey: University of California San Diego, Pamela Cosman: University of California San Diego, Alexander Postlmayr: University of California San Diego)