Group is directed by: Professor
Oliveira and Professor
2021 REU Mentors: Professor Suely Oliveira
with Geoff Converse , Jamil Gafur and Tarun Roy
We bring knowledge from Numerical Analysis and
Optimization to design and improve Machine Learning algorithms.
We focus on applications with large amounts of data where new optimization or parallel algorithms are essential.
Recent projects include:
Machine Learning and Genetics, Neural Networks and Educational
data, Theoretical Foundations of Neural Networks,
We study classical optimization methods, stochastic gradient descent, and metaheuristics for machine learning and their parallelization. Above, see simulations of gradient descent and a metaheuristic algorithm (image provided by Jamil Gafur, PhD student in Computer Science).
Current PhD students working on
(with Profs Oliveira or Professor Stewart)
Some Recent PhD Students: Jeffrey Hajewski (2020, Salesforce), Thamer Alsulaiman (2019, Oracle), Cole
Stiegler (2018, Target Corp.), Rahil Sharma (2016, Cadence), Mario Barela (2016, BAE
Systems), Benjamin Dill (2016, Westminster College, Utah),
more under our webpages
2015-2016 Kyumok Lee, Wyatt Bettis, Yue Bin, Kenong Su
2016-2017 Kenong Su, Jing Chen, Jingrong Li, Benjamin Jacobs
2017-2018 Yash Chauhan, Anthony Pizzimenti, Joseph Constant, Yunyi Li, Sangguan Wang
2018-2019 Mathias Sader, Chunquing Cao, Katherine Wasmer, Vanessa Chen, Kayla Gibson, Laura Weiler.
Summer 2015 Gracé Ndovia, Mitchell Penningroth, Jacob Smith, Mathias Sader, Loius Hasley, T'shilyn Harrington, Brian Schweer
Summer 2016 Rzwan Didhu, Liam Hagan, Daniel Kelly, Dillon Kock, Lucas Zach, Nolan Dewitte, Jiahua Zhang, Anthony Pizzimenti, Austin Russ, Derek Choi, Katherine Chace
Summer 2017 Carlos Zapata, Kelvin Encarnacao, Abigail Williams-Yee, Carles Mascardo, Natasha Brown-Joel,Jacob Howard, Robert Gerritsen, Minhan Lin, Biao Liu
Summer 2018 Kevin Liu, Ethan St John, Gus Johnson, Ethan Trepka, Moly Mcdermott, Steve Garcia, Rachel Hammel, Brandon Koch, Prateek Sudhanshu Raikwar, Jeremy Feguson, Yinguy Zhou, Pranav Sateesh, Andy Hou, Drew Graves