Anurag Agarwal Headshot

Anurag Agarwal

Associate Professor

School of Mathematics and Statistics
College of Science

585-475-7531
Office Hours
[Spring 2023:] MONDAY and FRIDAY 12:00PM to 12:50PM. If there is a real need, then I can meet by appointment and/or via ZOOM as well.
Office Location
Office Mailing Address
GOS-3216

Anurag Agarwal

Associate Professor

School of Mathematics and Statistics
College of Science

Education

BS, MS, Indian Institute of Technology (India); Ph.D., State University of New York at Buffalo

585-475-7531

Personal Links
Areas of Expertise

Select Scholarship

Published Article
Agarwal, A., M. Lopez, and D.A. Narayan. “Representations for complete graphs minus a disjoint union of paths.” Journal ofCominatorial Mathematics and Cominatoral Computing, 72 (Feb 2010): 173-180. Print. «
Agarwal, A. and J.E. Marengo. “The Locus of the Focus of arolling parabola.” The College Mathematics Journal, 41.2 (March 2010): 129-133. Print. «
Agarwal, S. and A. Agarwal. “Investigating the nature of knowledge of mathematics required for teaching of functions.” Proceedings of theInternational Conference of Education, Research and Innovation, 2009-10. Print. «
Formal Presentation
Agarwal, Anurag. “Representation Numbers and Prague Dimension of Graphs.” MAA Seaway Section Meeting. Plattsburgh, NY. 15-16 Oct. 2010. Presentation.

Currently Teaching

MATH-190
3 Credits
This course introduces students to ideas and techniques from discrete mathematics that are widely used in Computer Science. Students will learn about the fundamentals of propositional and predicate calculus, set theory, relations, recursive structures and counting. This course will help increase students’ mathematical sophistication and their ability to handle abstract problems.
MATH-241
3 Credits
This course is an introduction to the basic concepts of linear algebra, and techniques of matrix manipulation. Topics include linear transformations, Gaussian elimination, matrix arithmetic, determinants, vector spaces, linear independence, basis, null space, row space, and column space of a matrix, eigenvalues, eigenvectors, change of basis, similarity and diagonalization. Various applications are studied throughout the course.
MATH-341
3 Credits
This is a second course in linear algebra that provides an in-depth study of fundamental concepts of the subject. It focuses largely on the effect that a choice of basis has on our understanding of and ability to solve problems with linear operators. Topics include linear transformations, similarity, inner products and orthogonality, QR factorization, singular value decomposition, and the Spectral Theorem. The course includes both computational techniques and the further development of mathematical reasoning skills.
MATH-367
3 Credits
This course will introduce, explain and employ both the classical and modern basic techniques of cryptography. Topics will include the Vignère cipher, affine ciphers, Hill ciphers, one-time pad encryption, Enigma, public key encryption schemes (RSA, Diffie-Hellman, El-Gamal, elliptic curves), and hash functions. The course will include an introduction to algebraic structures and number theoretic tools used in cryptography.
MATH-771
3 Credits
This course is an introduction to the mathematical problems and techniques that serve as a foundation for modern cryptosystems. The topics include: classical cryptosystems computational number theory, primality tests, finite fields, private and public key encryption scheme (RSA, El-Gamal), and applications such as digital signatures, one way functions, and zero knowledge proofs. Use of elliptic curves in cryptography will also be covered.
MATH-799
1 - 3 Credits
Independent Study