T1. Signal Recovery
The non-abelian recovery, Fourier ratio and graph
recovery, and Parseval frames recovery groups will
continue their theoretical and applied work.
Supervisors: Karam Aldahleh (Oxford),
Sam Ferguson, Vishal Gupta (UR Math), Gabe Hart (UR CS),
Alex Iosevich (UR Math), Joshua Iosevich (RIT Math),
Azita Mayeli (CUNY Math), Akshay Sant (UR Math), and
Tran Duy Anh Le (UCSD Math).
Participants: Gideon Afriyie, Karam
Aldahleh, Kenneth Fei, Gabe Hoag, Suleman Khan, Misha
Jindal, Alhussein Khalil, Julian King, Austin O'Connor,
James-Lucius Okenwa, Gus Smith, Ben Song, Claire
Strobel, Suva Parvin Srithe, Erdem Togay, Sinan Yang,
Fiona Zhang, and Yiyi Zhao.
T2. Analyzing the Fractal Dimension Distribution of
EEG Data to Classify Seizures
This group will continue developing mathematical tools
for estimating fractal-dimension distributions and
applying them to seizure detection.
Supervisors: Svetlana Pack (Penn State
Math) and Jacob Canel (Penn State Math).
Participants: Grace Brandt, Josie
Elliston, Oscar Jackson, Aashi Jindal, Ethan Kang, Nadia
Lach-Hab, Ziqing Li, Shana Kester, Pitambar Pandey,
Farid Rohan, Ria Vaish, Jin Yuan, and Lior Zendel.
T3. Fixed Points of the Conjugate in the Steenrod
Algebra
This group will continue investigating fixed points of
the conjugation automorphism in finite portions of the
Steenrod algebra.
Supervisor: Elizabeth Tatum (UR Math),
Participants: Ishika Jahaly, Logan
Singh, and Showmee Zhou.
T4. Numerical Solutions of PDEs Arising in Geometry
This group will continue its numerical investigation of
rotationally symmetric self-shrinkers for mean curvature
flow.
Supervisor: Stephen Kleene (UR Math).
Participants: Zoe Juergensen
A1. Sales Modeling
This group will continue building and testing
neural-network models using economic indicators for
sales prediction and inventory optimization.
Supervisors: Vishal Gupta (UR Math),
Gabe Hart (UR CS), and Alex Iosevich (UR Math).
Participants: John Anastasi, Arjun
Kanani, Bowen Li, and Owen Zhao.
A2. Useless Neurons
This group will continue studying methods for
identifying and pruning relatively unimportant or
redundant neurons in artificial neural networks.
Supervisors: Kunko Zou (UR Math) and
Yan Zou (UR Math).
Participants: Wenzan Fan, Jiarui Feng,
Sanjay Makam, Alex Phillips, Armaan Sapra, Zihao Wang,
Zhongtian Zhai, Daiming Zhou, Kunko Zou, and Yan Zou.
A3. Financial Mathematics
This group will continue investigating real-time
hot-search topic rankings for predictive asset pricing
and event-driven reinforcement-learning financial
trading.
Supervisor: Jiajun Du (UR Math)
Participants: Polina Chub, Xingyan
Jin, Hanzhang Li, Jingyi Li, and Ilia Lukinov.
P1. Quantum Random Walks and Quantum Random Circuits
This group will continue exploring iterated quantum
transformations with random, fixed-unitary, and possibly
classical components.
Supervisor: Alice Quillen (UR
Physics).
Participants: Benjamin Akararatovic