Welcome to my home page!

I am an Assistant Professor in the Department of Computer Science and Statistics at the University of Rhode Island. I joined URI in 2015 after working in the Department of Computer and Information Sciences, University of Delaware as a visiting scholar. I graduated with a Ph.D. in CS from the Computer Science Department, Utah State University, a M.S. in CS from the Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo, and a B.S. in CS from Faculdade de Computação, Universidade Federal de Mato Groso do Sul.

My research interests are in the broad area of Machine Learning with a focus on deep learning and machine learning techniques for structured data (e.g. graph kernels). My work has been applied to challenging problems arising in a variety of domains, such as computer vision, computer program analysis, and computational biology.

Note to prospective students: I am always looking for self-motivated students who are interested in pursuing Master’s or Ph.D. research. If you are interested in joining our graduate program, please look carefully at Graduate Admissions for further information. Teaching Assistantships may be available for strong candidates. While I welcome inquiries by e-mail, please be advised that I am generally unable to reply to all inquiries.

Are you an undergraduate student looking for courses in Machine Learning and Artificial Intelligence?

Latest News

I am excited to teach Neural Networks and Deep Learning this Spring!
I will be serving as a Session Chair on Recent Developments and Future Trends in Machine Learning/Deep Learning at the NextGen: Data Science Day, Yale University.
Granted the NVIDIA Deep Learning Institute Ambassadorship, by NVIDIA Corporation
After competing at BOSPRE 2018, URI RAM Error has advanced to the Northeast North America Regional Finals of the ACM ICPC. The Programming Team is composed of Douglas Deslauriers, Luke Watkins, Alex Lachance, and Coach Marco Alvarez.
Served as a Host Site for the ACM Boston Preliminary Programming Contest BOSPRE 2018
Congratulations to Jared Rondeau who is starting his Ph.D. in Computer Science at UMass Amherst.
I will be teaching Machine Learning this Fall!
Jared Rondeau is in Europe participating of the Cornell, Maryland, Max Planck Pre-doctoral Research School.
Happy to be presenting our work on DeepPatrol at the Techno Security & Digital Forensics Conference.
Welcome Francesco Cannizzaro from Università della Calabria, as an exchange student in our lab. His work focuses on training GANs from MegaFace, to aid age estimation models.
Thomas Howard joins our lab as a M.Sc. student. He will be working hard on further developing DeepPatrol.
Our lab will be hosting 3 undergraduates this Summer: Jeremy Peacock, Davin Bernier, and Douglas Deslauriers. All supported by the DOJ grant.
Our paper Deep Modeling of Human Age Guesses for Apparent Age Estimation has been accepted to appear at IJCNN 2018.
I am excited to teach Parallel Computing this Spring!
Invited to give a talk on Real and Apparent Age Estimation at the Workshop on Artificial Intelligence and Machine Learning Applications, Lima, Peru.
I will be teaching Deep Learning this Fall!
Welcome Moiz Sherwani from Università della Calabria, as an exchange student in our lab.
Invited to teach a Deep Learning course at Universidade Catolica Dom Bosco, Brazil.
Invited to give a talk on Machine Learning on Graphs at Universidade Catolica Dom Bosco, Brazil.
Invited to give a talk on Applying to CS Graduate Programs at Universidade Catolica Dom Bosco, Brazil.
Jared Rondeau joins the lab as a M.Sc. student. His work is related to developing deep learning models for apparent age estimation.
Our lab will be hosting 3 undergraduates this Summer: Luke Watkins, Jonathan Ibanez, and Peter Pinto. All supported by the DOJ grant.
Hosted the 1st URI Programmming Contest, a local programming competition as part of the Boston Algorithm Festival.
Happy to teach Competitive Programming this Spring!
Awarded a 2-yr grant by the Office of Justice Programs at the U.S. Department of Justice for developing : DeepPatrol: Finding Illicit Videos for Law Enforcement.
I will be teaching Machine Learning this Fall!
Invited to give a talk on Linear Methods for Classification at Pontifical Catholic University, Peru.
Our paper Dynamic Android Malware Classification Using Graph-Based Representations has been accepted to appear at CSCloud 2016.
I will be starting as an Assistant Professor at the University of Rhode Island this Fall.
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