CHASE 2023 - Program At A Glance. For PDF version, please click HERE.
June 21 (Day 1)
08:00
- 8:45 Continental Breakfast
08:45 - 9:00
Open remarks
09:00 - 11:00 NSF-NIH Aspiring Meeting
11:00 - 11:20
Coffee Break
11:20
- 12:30 Plenary Session
12:30
- 2:00 Lunch
13:30 - 14:30
Keynote (Wendy Nilsen)
14:45 - 15:30
Demo/poster lighting talks
15:30
- 16:00 Coffee Break
16:00 - 17:20
Session 1:
Disease Detection and
Diagnosis (20
min each)
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
08:45 - 09:45
keynote (Dong Xu)
10:00 - 11:00
Session 2: Disease Treatment and
Intervention (20
min each)
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
12:30
- 14:00 Lunch
14:00 - 15:20 Session 3:
AI and Signal Processing
for Health - I (20
min each)
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)
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
08:45 - 09:45 keynote (Chenyang Lu)
10:00 - 11:00 Session 5:
Public Health (20 min each)
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 Students
(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
12:30
- 14:00 Lunch
14:00 - 15:20
Session 6:
AI and Signal Processing
for Health – II (20
min each)
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)
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; University of Massachusetts Chan Medical School, Hua Fang:
University of Massachusetts Dartmouth; University of Massachusetts Chan Medical
School, Edward W Boyer: Brigham and Women's Hospital, Honggang Wang: University
of Massachusetts Dartmouth)
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)