Matheus Araújo, Ph.D.
"There is a difference between knowing the path & walking the path."
Morpheus, The Matrix
Contact
Status
Project Staff at Cleveland Clinic
Links:
Who is Matheus?
Dr. Matheus Araújo actively researches the emerging area of Computer Science applied in healthcare at Cleveland Clinic Foundation. In his interdisciplinary research, he addresses health-related problems by applying top-edge computer science solutions. This involves using medical and wearable devices as raw sources of information to build machine learning models, graphs, and time-series analyses. Matheus also contributed to the field of Sentiment Analysis and Social Computing.
"My goal is to bridge computer science and medicine, transforming people's life unquestionably better in an optimal way with the resources I have right now."
Interests
AI for Healthcare
Medical Therapy Adherence
Sleep Medicine
Epilepsy (EEG & SEEG signals)
AI in Cardiology (Heart sounds)
Social Computing
Sentiment Analysis
Techniques
Applied Statistics
Time-series analysis
Machine Learning
Deep Learning
Data Visualization
Academic Degrees
Ph.D in Computer Science from University of Minnesota, USA. (Fall 2017 - Fall 2021)
Area: Applied Machine Learning on Health Informatics
Thesis: Predicting Therapy Adherence: A Machine Learning Approach
Advisor: Jaideep Srivastava
Thesis Defense: Text Link and YouTube Link
Master's Degree in Computer Science at Federal University of Minas Gerais (UFMG, Brazil). (July 2015 - July 2017)
Thesis: Machine Translation for Multilingual Sentence-level Sentiment Analysis (more info)
Adivisor: Fabricio Benevenuto
Bachelor's Degree in Computer Science from Federal University of Minas Gerais
Studied at Michigan State University, East Lansing, MI, USA (2013/2-2014/2) - Brazil's Science Without Borders
Industry Experience:
Project Staff at Cleveland Clinic's Sleep Disorders Center (Cleveland, OH - Feb 2022 , Current)
Senior Data Scientist at IBM Chief Analytics Office (Armonk, NY - Summer Internship - 2021)
Research Intern at Inspire Medical Systems (Minneapolis, US. May 2019 - May 2029, Sep 2021 - Jan 2022 ) .
Volunteer ❤ Data Scientist at One Heart Health (Minneapolis 2019 - Today):
Role: Create an auscultation algorithm for congenital heart disease classification using deep learning (more info) and (more info).
Data Science Intern at Nokia Bell Labs (Cambridge, UK. May 2018 - August 2018 ) .
Research Assistant at Qatar Computer Research Institute (Doha, QA. September 2016 - June 2017) .
Publications
Here is a list of selected publications.
For more info check My Google Scholar
Teaching Experience
At University of Minnesota:
Lecturer of Introduction to Programming Concepts (CSCI 1133) [Fall 2020]. I loved this experience, and I'm proud that my students loved too: https://www.ratemyprofessors.com/ShowRatings.jsp?tid=2626883
TA of Introduction to Programming Concepts (CSCI 1133) [Spring 2019][Fall 2019]
TA of Practice of Database Systems (CSCI 4707) [Fall 2017][Spring 2018][Fall 2018]
At Federal University of Minas Gerais:
TA of Algorithms and Data Structures (DCC 003) [Spring 2016]
Grants and Sponsorship Awards
Industrial Student Support [ Jan-Aug 2020 ]
Company: INSPIRE MEDICAL SYSTEMS
Project Role: Data analysis and applied machine learning on sleep apnea therapy.
Systems Developed
Visualizing health-related interests in Arab League Countries: http://scdev5.qcri.org/sha/
iFeel: A Sentiment Analysis Framework:
www.ifeel.dcc.ufmg.brPsyCalculator : Registered at Brazil Government Agency - INPI as : BR 51 2018 001063-6
Open Source Projects:
pySocialWatcher: A Social Data Collector from Facebook Marketing API: https://github.com/maraujo/pySocialWatcher
Used at:
"Combining Social Media Data and Traditional Surveys to Nowcast Migration Stocks"
"Measuring Subnational Digital Gender Inequality in India through Gender Gaps in Facebook Use"
"Studying Migrant Assimilation Through Facebook Interests"
"Measuring Subnational Digital Gender Inequality in India through Gender Gaps in Facebook Use"
"Using Facebook ad data to track the global digital gender gap"
Rumours, mis- and disinformation in divided societies: Twitter and the Ardoyne parade dispute
As Publication Reviewer
Knowledge and Information Systems - Springer-Nature (2022)
14th ACM Web Science Conference (2022)
3rd Workshop on the Data for the Wellbeing of Most Vulnerable (2022)
Empirical Methods in Natural Language Processing - EMNLP (2021)
EPJ Data Science (2021)
International Journal of Web Based Communities (2021)
Data Science Journal (2021)
Data Technologies and Applications(2020)
Natural Language Engineering (2020)
Population Research and Policy Review (2020)
Language Resources and Evaluation(LREv) (2018-2019)
Int. J. of Information Technology and Decision Making (IJITDM) (2018)
Press Coverage
Sneak Peek: The Algorithm That Will Change Pediatric Cardiac Screening
How Artificial Intelligence Will Save Kids’ Hearts
International student TAs conquer language barriers
As máquinas sabem o que você faz. Agora querem saber o que você sente
Entrevista: Matheus Araújo, Pesquisador em Machine Learning
Erdos Number: 4
Matheus Araujo -> Ingmar Weber -> Zvi Lotker -> Noga Alon -> Paul Erdos
Mathematical Descendancy: Carl Friedrich Gauss
Matheus Araujo (2021*) -> Jaideep Srivastava (1988) -> Chittoor Vijayaraghavalu Ramamoorthy (1964) -> Donald Winston Tufts (1960) -> Norbert Wiener (1913) -> Karl Schmidt (1898) -> Paul Gerhard Natorp (1881) -> Hermann Cohen (1873) -> Friedrich Albert Lange (1851) - > Julius Plücker (1823) -> Christian Ludwig Gerling (1812) -> Carl Friedrich Gauß (1799)
Personal Definitions
"Artificial Intelligence is any kind of object crafted by an intelligent being that has the purpose of mimicking its creator behavior partially or totally in a non-trivial way."
"Truth is the projection of the reality in a communication medium after passing through an observer's lens."
by Leticia Araujo