Research Experience

Research: My research work can be categorized into three realms.  

First, I have a background and experiences in machine learning, applied mathematics, and data science.  

• Current work includes projects in sequence prediction, video processing, and computational topology.  My research statement in the About Me section of this site has more information about some of these projects.

• Interests include but are not limited to the statistical learning methods and machine learning techniques involving big data, the Nonnegative Matrix Factorization and applications, parallel computing, cloud computing, linear programming problems, convex optimization.

Second, as an educator, I am also a learning scientist, interested in how people learn based on the way the brain processes information and how attitudes/environments influence those processes and what an instructor can do to maximize the amount of learning that occurs within and without the classroom. 

• Current work is an investigation whether writing in the mathematics classroom increases metacognitive abilities and decreases mathematics anxiety.  Some of my findings are reported in papers cited below.

Lastly, as an undergraduate professor at a teaching college, I need research that can include undergraduate students.  I do this with projects in the realm of "Data for Good".  

• Current work includes how to measure openness of data, the privacy-transparency of data trade-off in higher education, integrating an ethics measure into distribution models for epidemics.  My research statement in the About Me section of this site has more information about some of these projects.

Publications:

• Landi, A.  Almost Predicting "Natural" Sequences.  Springer Nature: Computer Science, 5(302), (2024).

• Landi, A. A Case Study of Writing as Active Learning in Gateway Undergraduate Mathematics: Model in Calculus I.  The IWT CLASP Journal: Studies in Student-Centered Teaching and Learning around the Globe, Vol 1, (2024).

• Thida, M., Landi, A., and Thwe, K.Z. Gender Equality in STEM Workforce: A Survey-Based Approach. In Proceedings IEEE 8th International STEM Education Conference (iSTEM-Ed), (pp. 1-6), (2023).

• Landi, A. K. and Minden, K. Metacognitive Assessments for Undergraduate Mathematics Courses in the Time of COVID-19. PRIMUS, 33(5), 555-568, (2023). 

• Rose, L., Landi, A., Zamora Flores*, J., Zhang*, C., Roccaforte*, S., and Crager*, J.  MAGPIES: Math & Girls + Inspiration = Success: Creating and Implementing a Virtual Math Circle for Girls.  Journal of Math Circles, 2(2), (2022).

• Hamida*, C. and Landi, A. and Liu*, Z. The Equity and Inclusion in Higher Education: A Proposed Model for Open Data.  In the 13th Proceedings of the International RAIS Conference on Social Sciences and Humanities, Johns Hopkins, (2019).

• Hamida*, C. and Landi, A. The Lack of Decentralization of Data: Barriers, Exclusivity, and Monopoly in Open Data.  In Proceedings of the 10th International RAIS Conference on Social Sciences and Humanities, Princeton, NJ, (2018).

• Ito, K., and Landi, A. K. The nonnegative matrix factorization: regularization and complexity. SIAM Journal on Scientific Computing, 38(2), B327-B346, (2016).

• Ito, K. and Landi, A. K.  The nonnegative matrix factorization and atomic deconvolution. In Proceedings IEEE Conference on BIBM: Nonnegative Matrix Factorization and Tensor Decomposition Techniques for High-Throughput Biological Data Analysis Workshop, Washington D.C., pp. 1650-1657, (2015). 

• Landi, A. K.  The nonnegative matrix factorization: methods and applications. PhD Dissertation.  North Carolina State University, Raleigh, NC.  (2015).

• Ito, K. and Landi, A. K. Low-rank and Sparse Extraction via nonnegative matrix factorization. (2016). Manuscript accepted in ICMLA December 2016 in Anaheim, California.

* indicates student authors

Funding:

• • Simon's Rock research grant to hire student workers, Summer 2017.  

Talks/Posters/Presentations and Guest Lectures:

• Presentation: Writing as Active Learning in Gateway Undergraduate Mathematics: A Case Study in Calculus I. 

  • Conference: CLASPStone Conference, November 2023. (Virtual)

• Presentation: Gender Gap Data, Globally, Regionally, and in Myanmar.

  • Conference: International Women's Day Celebration [ WAI Myanmar x Myanmar Data Tech Team], March 2023. (Virtual)

• Presentation: Writing as Active Learning in Gateway Undergraduate Mathematics: A Case Study in Elementary Functions. 

  • Conference: NE-RUME Conference, October 2022.  (Virtual)

• Invited Talk: "Regression Methods."

  • Where: North Carolina's School of Science and Mathematics at Morganton, NC. (Virtual)

  • When: February 2022

• Invited Talk: "Using the Nonnegative Matrix Factorization to Generalize Sequence Prediction. "

  • Where: Embedded Intelligence, LLC. (Virtual)

  • When: August 2021

• Invited Talk: "To DBSCAN or To KMeans?"

  • Where: Marist College

  • When: November 2018

• Poster: "Decomposing Data: Low-rank and Sparse Components"

  • Where: SAMSI Optimization Program - Summer School

  • When: August 8, 2016

• Guest Lecture: Supervised and Unsupervised Machine Learning

  • Course: Artificial Intelligence

  • Institution: Bard College at Simon's Rock

  • Date: April 11 and 13, 2016

• Invited Talk: "Differential Equations: The Separation of Variables Method"

  • Where: Bryn Mawr College

  • When: 2016

• Presentation: The Nonnegative Matrix Factorization and Atomic Deconvolution.

  • Workshop: Nonnegative Matrix Factorization and Tensor Decomposition Techniques for High-Throughput Biological Data Analysis Workshop

  • Conference: IEEE BIBM 2015

Conferences/Workshops Attended:

• STEM Writing and Thinking Workshop.  The Bard Institute of Writing and Thinking.

  • July 2020

  • Location: Virtual

• National Council of Teachers of Mathematics 

  • October 2018

  • Location: Hartford, CT

• Women in Data Science Conference

  • March 5, 2018

  • Location: Worcester Polytechnic Institute in Worcester, MA

• Eastern Economics Association Conference

  • March 1-4, 2018

  • Location: Boston, MA

• Colloquium: Topological Inference from Data

  • April 21, 2017

  • Speaker: Dr. Robert Ghrist, University of Pennsylvania

  • Location: State University of New York at Albany

• Hudson River Undergraduate Mathematics Conference

  • April 8, 2017

  • Location: Westfield State University in Westfield, MA

• SAMSI Optimization Program - Summer School

  • August 8 - 12, 2016

  • Location: Research Triangle Park, NC

• The Festival of Positive Education

  • July 2016

  • Location: Dallas, TX

• Northeastern Section of the Mathematical Association of America

  • June 3-4, 2016

  • Location: University of New England in Biddeford, ME

• Hudson River Undergraduate Mathematics Conference

  • April 2, 2016

  • Location: Saint Michael's College in Colchester, VT

• IEEE Bioinformatics and Biomedicine (BIBM) Conference

  • November 9-11, 2015

  • Location: Washington, D.C.