Library
. Analyzing Clinical Depressive Symptoms in Twitter. In 23rd NIMH Conference on Mental Health Services Research (MHSR): Harnessing Science to Strengthen the Public Health Impact. Bethesda, MD; 2016. 
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(1.98 MB). Augmented Personalized Health: How Smart Data with IoTs and AI is about to Change Healthcare. In 2017 IEEE 3rd International Forum on Research and Technologies for Society and Industry (RTSI 2017). Modena, Italy; 2017. (389.45 KB)
(389.45 KB). Characterizing Trajectories of Daily Routines of Older Adults with Sensor Technology. In 7th Western Institute of Nursing Communicating Research Conference. Seattle, WA; 2014.
. Daily Routines of Older Adults: A Novel Method of Measurement. In 67th Scientific Meeting of the Gerontological Society of America. Washington DC; 2014.
. Discovering Explanatory Models to Identify Relevant Tweets on Zika. In 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2017). Jeju Island, Republic of Korea: IEEE ; 2017. (131.86 KB)
(131.86 KB). Evaluating a Potential Commercial Tool for Healthcare Application for People with Dementia. In International Conference on Health Informatics and Medical Systems (HIMS). Las Vegas, Nevada; 2015. (345.24 KB)
(345.24 KB). A Knowledge Graph Framework for Detecting Traffic Events Using Stationary Cameras. In Industrial Knowledge Graphs 2017 Workshop (co-located with 9th International ACM Web Science Conference 2017). Troy, NY; 2017. (3.03 MB)
(3.03 MB). Monitoring Patients in Hospital Beds Using Unobtrusive Depth Sensors. In 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Chicago, IL: IEEE; 2014. p. 5904 - 5907.
. Preliminary Investigation of Walking Motion Using a Combination of Image and Signal Processing. In 2016 International Conference on Computational Science and Computational Intelligence. Las Vegas, NV; 2016. (514.03 KB)
(514.03 KB). Semi-Supervised Approach to Monitoring Clinical Depressive Symptoms in Social Media. In Advances in Social Networks Analysis and Mining (ASONAM). Sydney, Australia: Advances in Social Networks Analysis and Mining (ASONAM), 2017 IEEE/ACM International Conferance on; 2017. (438.42 KB)
(438.42 KB). Understanding City Traffic Dynamics Utilizing Sensor and Textual Observations. In 30th AAAI Conference on Artificial Intelligence (AAAI-16). Phoenix, Arizona; 2016. (2.05 MB)
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(2.05 MB) (5.96 MB). What Motivates High School Students to Take Precautions Against the Spread of Influenza? Latent Modeling of Compliance with Preventative Practice: A Data Science Approach. In International Conference on Health Informatics and Medical Systems (HIMS). Las Vegas, Nevada; 2016. (490.51 KB)
(490.51 KB). Building a framework for recognition of activities of daily living from depth images using fuzzy logic. 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). Beijing, China: IEEE; 2014. p. 540 - 547.
. Evolving a Fuzzy Goal-Driven Strategy for the Game of Geister. 2014 IEEE Congress on Evolutionary Computation (CEC). Beijing, China: IEEE; 2014. p. 28 - 35.
. Knowledge-driven Personalized Contextual mHealth Service for Asthma Management in Children. 2015 IEEE International Conference on Mobile Services. New York, NY: IEEE; 2015. p. 284 - 291. (1.31 MB)
(1.31 MB). A novel web-based depth video rewind approach toward fall preventive interventions in hospitals. 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Chicago, IL: IEEE; 2014. p. 4511 - 4514.
. Automated fall detection with quality improvement "rewind" to reduce falls in hospital rooms. Journal of Gerontological Nursing Technology Innovations. 2014 ;40(1):13-14.
. Day or Night Activity Recognition from Video Using Fuzzy Clustering Techniques. IEEE Transactions on Fuzzy Systems. 2013 ;22(3):483-493.
. Gender-based Violence in 140 Characters or Fewer: A #BigData Case Study of Twitter. First Monday. 2016 ;21(1-4).
. Investigation of an Indoor Air Quality Sensor for Asthma Management in Children. IEEE Sensors Letters. IEEE; 2017 ;1(2):1-4. (239.26 KB)
(239.26 KB). IoT Quality Control for Data and Application Needs. IEEE Intelligent Systems. IEEE; 2017 ;32(2):68-73. (1.89 MB)
(1.89 MB). Recognizing complex instrumental activities of daily living using scene information and fuzzy logic. Computer Vision and Image Understanding. 2015 ;140:68–82.
. Sit-to-stand Measurement For In Home Monitoring Using Voxel Analysis. IEEE Transactions in IT and Biomedicine . 2014 ;18(4):1502-1509.
. What Are People Tweeting About Zika? An Exploratory Study Concerning Its Symptoms, Treatment, Transmission, and Prevention. JMIR Public Health Surveillance. JMIR Publications; 2017 ;3:e38.
. Augmented Personalized Health: Using Semantically Integrated Multimodal Data for Patient Empowered Health Management Strategies. mHealth Technology Showcase, National Institute of Health- June 2018; 2018. (1.44 MB)
(1.44 MB). Correlating Multimodal Signals with Asthma Control in Children Using kHealth Personalized Digital Health System. In procedings of the American Thoracic Society (ATS) International Conference; 2018. (412.7 KB)
(412.7 KB). Feasibility of Recording Sleep Quality And Sleep Duration Using Fitbit in Children with Asthma. 32nd Annual Meeting of the Associated Professional Sleep Societies (SLEEP), 2-6 June 2018, Baltimore, MD; 2018. (650.88 KB)
(650.88 KB). Khealth Digital Personalized Healthcare technology for Pediatric Asthma. mHealth Technology Showcase, National Institute of Health- June 2018; 2018. (1.83 MB)
(1.83 MB). Gender-Based Violence in 140 Characters or Fewer: A #BigData Case Study of Twitter. Dayton: Wright State University; 2015 . (955.68 KB)
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