Undergraduate research in mathematics and related areas






Undergraduate research in mathematics never stops at the University of Rochester. In addition to summer programs described on this website, research group are working year-around on topics they are interesting in. The groups meet in my office, Hylan 909, on Fridays, 1-4 p.m. If you are interested in joining one of the research groups or starting another one, please come to my office next Friday. If you have any questions beforehand, please feel free to email me at iosevich@gmail.com.

Several of my colleagues, both from Rochester and beyond, played a crucial role in the sucess of this program over the years. Charlotte Aten, Azita Mayeli, Jonathan Pakianathan and several others made this program possible and continue to make it possible to this day. 


Buffon Needle Problem Team: This team is investigating the following question. Let K be a bounded convex set in Euclidean space. Let p(r,K)$ denotes the probability that if one end of a needle of length r is dropped in K with equal (uniform) probability, then the other end is also in K. Last summer, the team proved in two dimensions that if K has the same perimeter as the disk of radius 1 but is not a disk, then if r is sufficiently small, then p(r,K)<p(r,disk). They are now investigating some quantitative analogs of this question and alos pushing into higher dimensions.

Team members: William Hagerstrom (whagerst@u.rochester.edu), Gabe Hart (ghart3@u.rochester.edu), Tran Duy Anh Le (tle18@u.rochester.edu), Mark Shneyderman (mshneyde@u.rochester.edu), Nathan Skerett (nskerret@u.rochester.edu)


Neural Networks Team:
This team is investigating a variety of aspects of applications of neural networks to retail analytics and related matters. The team is also going to use neural networks to approximate numerical solutions to ordinary and partial differential equations.

Team members: Yuning Ren, Hengyu Pan (hpan8@u.rochester.edu), Kunxu Song (ksong12@u.rochester.edu), Haixin Tan (htan10@u.rochester.edu), Xiaoya Tan, Jingwen Xu, Yiling Zou (yzou17@u.rochester.edu).


Vector Spaces Over Finite Fields Team:
The team is going to investigate a variety of geometric combinatorial problems in vector spaces over finite fields.

Team members: Anuraag Kumar (akumar48@u.rochester.edu), Meilin Li (mli93@u.rochester.edy), Aiden Rohrbach (arohrbac@u.rochester.edu), Svetlana Pack (spack2@u.rochester.edu), Nathan Shaffer (nshaffe4@u.rochester.edu), June Terzioglou (bterziog@u.rochester.edu), Terrence Wong (twong15@u.rochester.edu),







Python/Pandas/Tensorflow Learning Materials:

A full course on python YouTube course:

h
ttps://www.youtube.com/watch?v=XKHEtdqhLK8

Python tips

https://www.youtube.com/watch?v=C-gEQdGVXbk

Machine learning with python YouTube course:

https://www.youtube.com/watch?v=r-uOLxNrNk8

Recurrent Neural Networks:

https://www.freecodecamp.org/news/the-ultimate-guide-to-recurrent-neural-networks-in-python/