December 2018: Our work “Wrist Accelerometer Shape Feature Derivation Methods for Assessing Activities of Daily Living” is published in journal of BMC Medical Informatics and Decision Making.

November 2018: Our paper “A Smartwatch-Based Framework for Real-Time and Online Assessment and Mobility Monitoring” is now publicly available (and for a limited time)! Read it here: https://authors.elsevier.com/a/1Y8EN5SMDQYjIe.

November 2018: Joined Google as a Software Engineer.

August 2018: Graduated from UF CISE with a Ph.D. degree in Computer Science.

July 2018: Our work “A Smartwatch-Based Framework for Real-Time and Online Assessment and Mobility Monitoring” was accepted for journal of Biomedical Informatics.

June 2018: Successfully defended my Ph.D. Dissertation.

March 2018: Our work “Wrist Accelerometer Shape Feature Derivation Methods for Assessing Activities of Daily Living” was accepted for journal of BMC Medical Informatics and Decision Making special issue.

December 2017: passed the Ph.D. candidacy.

February 2017: Presented our work “A Bag-of-Words Approach for Assessing Activities of Daily Living Using Wrist Accelerometer Data” at IEEE international conference on bioinformatics and biomedicine (IEEE-BIBM’17), Kansas City, USA.

August 2017: Joined Philips Research North America as Machine Learning Research Intern.

February 2017: Presented our work “Power-Efficient Real-Time Approach to Non-Wear Time Detection for Smartwatches” at the IEEE international conference on biomedical and health informatics (IEEE-BHI’17), Orlando, USA.

February 2017: Presented our work “Adaptive Walk Detection Algorithm Using Activity Counts” at the IEEE international conference on biomedical and health informatics (IEEE-BHI’17), Orlando, USA.

September 2016: Sanjay Ranka presented our work “ROAMM: A Software Infrastructure for Real-time Monitoring of Personal Health” at the IEEE 18th international conference on e-health networking, applications and services (IEEEHealthcom’16), Munich, Germany.

July 2016: Our paper “Actigraphy Features for Predicting Mobility Disability in Older Adults” was published in Journal of Physiological Measurement.

July 2016: Presented our work “Detecting Sedentary Behavior from Wrist Accelerometer Data” at IEEE 38th annual international conference in Medicine and Biology Society (EMBC’16), Orlando, USA.

November 2015: Passed qulifying exams in Machine Learning and Database areas.

April 2015: Joined ROAMM research group, directed by Todd Manini, Sanjay Ranka, and Parisa Rashidi, to investigate smartwatches’ capabilities for real-time mobility monitoring.

July 2014: Joined ChoresXL study, directed by Todd Manini, aimed to assess activities of daily living using wearable accelerometers.

December 2013: Became reviewer of special issue on Data Mining in Pervasive Environments, Elservier Pervasive and Mobile Computing (PMC).

September 2013: Joined UF Data Science core as a research assistant.

August 2013: Joined UF CISE Ph.D. program.