People

Dr Alexei Vernitski

Senior Lecturer
School of Mathematics, Statistics and Actuarial Science (SMSAS)
Dr Alexei Vernitski
  • Email

  • Telephone

    +44 (0) 1206 873024

  • Location

    STEM 5.15, Colchester Campus

Profile

Biography

My current research is mostly in applying artificial intelligence to mathematical problems. The types of artificial intelligence that I use include reinforcement learning and deep learning. The types of mathematical problems that I research are in knot theory and in algebra (for example, braid theory). I am also interested in mathematics education, especially increasing motivation of learners of mathematics. Currently I supervise two PhD students in mathematics education. Previously, most of my research was in universal algebra. My PhD is in semigroup theory. I supervised one PhD student (Dr Zsofia Juhasz) in universal algebra (semigroup theory). Also I conducted research in applications of mathematics to computer science. I supervised two PhD students in this area (Dr Gokce Caylak Kayaturan and Dr Laura Carrea). Before starting work at Essex, I worked as a programmer in the financial sector and as a lecturer in computer science.

Research and professional activities

Research interests

Applying algebra (especially semigroups) to study knots, graphs etc.

My plans include 1) applying semigroups to study bounded rationality and, in particular, the negotiations scenario known as the repeated prisoner's dilemma; 2) using algebra to study certain classes of knots related to so-called rational tangles.

Key words: group theory
Open to supervise

Mathematical education; in particular, increasing motivation of learners of mathematics

Inspired by Carol Dweck's growth mindsets and Jo Boaler's mathematical mindsets, I research how this creative and nurturing approach can help learners of mathematics.

Key words: teaching
Open to supervise

Machine learning in mathematics; reinforcement learning applied to knot theory

One of my current interests is combining mathematics and new machine learning technology to enable the computer to manipulate mathematical objects.

Key words: machine learning
Open to supervise

Deep learning and reinforcement learning, applied to mathematical problems

Key words: deep learning
Open to supervise

Current research

Machine learning for recognising tangled 3D objects


More information about this project

Teaching and supervision

Current teaching responsibilities

  • Matrices and Complex Numbers (MA114)

  • Linear Algebra (MA201)

Previous supervision

Federica Armani
Federica Armani
Thesis title: Physiological Correlates of Math Anxiety for Neuroadaptive Learning Systems
Degree subject: Computer Science
Degree type: Doctor of Philosophy
Awarded date: 30/9/2024
Gokce Caylak
Gokce Caylak
Thesis title: Representing Shortest Paths in Graphs Using Bloom Filters Without False Positives and Applications to Routing in Computer Networks
Degree subject: Mathematics
Degree type: Doctor of Philosophy
Awarded date: 29/6/2018
James Christopher Waumsley
James Christopher Waumsley
Thesis title: An Analysis of Various Heuristic Approaches for Satisfying Routing Requests in Networks
Degree subject: Mathematics
Degree type: Master of Science (by Dissertation)
Awarded date: 22/9/2014
Laura Carrea
Laura Carrea
Thesis title: Optimised Probabilistic Data Structures for Forwarding in Information Centric Networking
Degree subject: Computing and Electronic Systems
Degree type: Doctor of Philosophy
Awarded date: 26/7/2013

Publications

Publications (5)

Vernitski, A., (2024). Groups of permutations preserving orientation (parity) of subsets of a fixed size

Vernitski, A., (2024). Gauss diagrams as cubic graphs: The choice of the Hamiltonian cycle matters

Lisitsa, A., Salles, M. and Vernitski, A., (2023). Machine learning discovers invariants of braids and flat braids

Lisitsa, A., Nie, Z. and Vernitski, A., (2023). Automated reasoning for proving non-orderability of groups

Lisitsa, A., Lopatkin, V. and Vernitski, A., (2022). Describing realizable Gauss diagrams using the concepts of parity or bipartate graphs

Journal articles (33)

Lisitsa, A. and Vernitski, A., (2024). Semigroups, keis and groups induced by knot diagrams: an experimental investigation with automated reasoning. Semigroup Forum. 109 (1), 186-193

Lisitsa, A., Salles, M. and Vernitski, A., (2024). Machine learning discovers invariants of braids and flat braids. Advances in Applied Clifford Algebras. 34 (5)

Lisitsa, A. and Vernitski, A., (2024). Counting graphs induced by Gauss diagrams and families of mutant alternating knots. Examples and Counterexamples. 6, 100162-100162

Higgins, PM. and Vernitski, A., (2024). Correction to: Orientation preserving and orientation reversing mappings: a new description. Semigroup Forum

Lisitsa, A., Lopatkin, V. and Vernitski, A., (2023). Describing realizable gauss diagrams using the concepts of parity or bipartite graphs. Journal of Knot Theory and Its Ramifications. 32 (10)

Higgins, P. and Vernitski, A., (2022). Orientation-preserving and orientation-reversing mappings: a new description. Semigroup Forum. 104 (2), 509-514

Vernitski, A., (2022). A blind spot in undergraduate mathematics: The circular definition of the length of the circle, and how it can be turned into an enlightening example. MSOR Connections. 20 (3), 85-90

Daly, I., Bourgaize, J. and Vernitski, A., (2019). Mathematical mindsets increase student motivation: Evidence from the EEG. Trends in Neuroscience and Education. 15, 18-28

East, J. and Vernitski, A., (2018). Ranks of ideals in inverse semigroups of difunctional binary relations. Semigroup Forum. 96 (1), 21-30

Vernitski, A., Tunsi, L., Ponchel, C. and Lisitsa, A., (2018). Dihedral semigroups, their defining relations and an application to describing knot semigroups of rational links. Semigroup Forum. 97 (1), 75-86

Vernitski, A., (2017). Describing semigroups with defining relations of the form xy=yz xy and yx=zy and connections with knot theory. Semigroup Forum. 95 (1), 66-82

Juhász, Z. and Vernitski, A., (2016). Semigroups with operation-compatible Green’s quasiorders. Semigroup Forum. 93 (2), 387-402

Carrea, L., Vernitski, A. and Reed, MJ., (2016). Yes-no Bloom filter: A way of representing sets with fewer false positives

Yang, X., Vernitski, A. and Carrea, L., (2016). An approximate dynamic programming approach for improving accuracy of lossy data compression by Bloom filters. European Journal of Operational Research. 252 (3), 985-994

Pride, SJ., Vernitski, A., Wong, KB. and Wong, PC., (2016). Conjugacy and Other Properties of One-Relator Groups. Communications in Algebra. 44 (4), 1588-1598

Carrea, L., Vernitski, A. and Reed, M., (2014). Optimized hash for network path encoding with minimized false positives. Computer Networks. 58 (1), 180-191

Vernitski, A. and Pyatkin, A., (2012). Astral graphs (threshold graphs), scale-free graphs and related algorithmic questions. Journal of Discrete Algorithms. 12, 24-28

Juhász, Z. and Vernitski, A., (2011). Using filters to describe congruences and band congruences of semigroups. Semigroup Forum. 83 (2), 320-334

Juhasz, Z. and Vernitski, A., (2011). Filters in (Quasiordered) Semigroups and Lattices of Filters. Communications in Algebra. 39 (11), 4319-4335

Vernitski, A., (2009). Inverse subsemigroups and classes of finite aperiodic semigroups. Semigroup Forum. 78 (3), 486-497

Vernitski, A., (2009). One-side Nielsen transformations in free groups. International Journal of Algebra and Computation. 19 (07), 855-871

Vernitski, A., (2008). On Using the Join Operation to Define Classes of Algebras. Communications in Algebra. 36 (3), 1088-1096

Vernitski, A., (2008). Ordered and J-trivial semigroups as divisors of semigroups of languages. International Journal of Algebra and Computation. 18 (07), 1223-1229

Vernitski, A., (2007). A Generalization of Symmetric Inverse Semigroups. Semigroup Forum. 75 (2), 417-426

Vernitski, A., (2006). Can Unbreakable Mean Incomputable?. The Computer Journal. 49 (1), 108-112

Vernitski, A., (2005). Russian revolutionaries and English sympathizers in 1890s London. Journal of European Studies. 35 (3), 299-314

Vernitski, A., (2004). Finite quasivarieties and self-referential conditions. Studia Logica. 78 (1-2), 337-348

Vernitski, A., (2002). Women work, men muse: Gender roles in Platonov's articles and short stories. Essays in Poetics. 27, 162-173

McAlister, DB., Stephen, JB. and Vernitski, A., (2002). Embedding ℑn in a 2-generator inverse subsemigroup of ℑn+2. Proceedings of the Edinburgh Mathematical Society. 45 (1), 1-4

Vernitski, AS., (2001). Studying semigroups of mappings using quasi-identities. Semigroup Forum. 63 (3), 387-395

Repnitskiǐ, VB. and Vernitskiǐ, AS., (2000). Semigroups of order-preserving mappings. Communications in Algebra. 28 (8), 3635-3641

Vernitskii, A., (1999). Semigroups of order-decreasing graph endomorhpisms. Semigroup Forum. 58 (2), 222-240

Vernitskii, AS., (1999). The finite basis problem for the semigroups of order-preserving mappings. Proceedings of the Royal Society of Edinburgh: Section A Mathematics. 129 (3), 641-647

Book chapters (1)

Lisitsa, A. and Vernitski, A., (2017). Automated Reasoning for Knot Semigroups and  $$\pi $$ π -orbifold Groups of Knots. In: Lecture Notes in Computer Science. Springer International Publishing. 3- 18. 9783319724522

Conferences (16)

Lisitsa, A. and Vernitski, A., (2024). On strong anti-learning of parity

Lisitsa, A., Salles, M. and Vernitski, A., (2023). Supervised Learning for Untangling Braids

Armani, F., Daly, I., Vernitski, A., Gillmeister, H. and Scherer, R., (2023). Maths Anxiety and cognitive state monitoring for neuroadaptive learning systems using electroencephalography

Khan, A., Lisitsa, A. and Vernitski, A., (2022). Training AI to Recognize Realizable Gauss Diagrams: The Same Instances Confound AI and Human Mathematicians

Khan, A., Vernitski, A. and Lisitsa, A., (2022). Untangling Braids with Multi-Agent Q-Learning

Khan, A., Vernitski, A. and Lisitsa, A., (2022). Reinforcement learning algorithms for the Untangling of Braids

Khan, A., Lisitsa, A. and Vernitski, A., (2021). Gauss-Lintel, an Algorithm Suite for Exploring Chord Diagrams

Fish, A., Lisitsa, A. and Vernitski, A., (2018). Visual Algebraic Proofs for Unknot Detection

Fish, A., Lisitsa, A. and Vernitski, A., (2018). Towards human readability of automated unknottedness proofs

Kayaturan, GC. and Vernitski, A., (2017). Encoding Shortest Paths in Triangular Grids for Delivery Without Errors

Karapetyan, D. and Vernitski, A., (2017). Efficient adaptive implementation of the serial schedule generation scheme using preprocessing and bloom filters

Kayaturan, GC. and Vernitski, A., (2016). Routing in hexagonal computer networks: How to present paths by Bloom filters without false positives

Kayaturan, GÇ. and Vernitski, A., (2016). A Way of Eliminating Errors When Using Bloom Filters for Routing in Computer Networks

Krol, K., Papanicolaou, C., Vernitski, A. and Sasse, MA., (2015). “Too Taxing on the Mind!” Authentication Grids are not for Everyone

Vernitski, A., (2013). Authentication grid

Peng, S., Nejabati, R., Escalona, E., Simeonidou, D., Anastasopoulos, M., Georgakilas, K., Tzanakaki, A. and Vernitski, A., (2012). Performance modelling and analysis of dynamic virtual optical network composition

Reports and Papers (8)

Lisitsa, A., Salles, M. and Vernitski, A., (2022). An application of neural networks to a problem in knot theory and group theory (untangling braids)

Khan, A., Lisitsa, A. and Vernitski, A., (2021). Experimental Mathematics Approach to Gauss Diagrams Realizability

Khan, A., Lisitsa, A., Lopatkin, V. and Vernitski, A., (2021). Circle graphs (chord interlacement graphs) of Gauss diagrams: Descriptions of realizable Gauss diagrams, algorithms, enumeration

Vernitski, A., (2021). A blind spot in undergraduate mathematics: The circular definition of the length of the circle, and how it can be turned into an enlightening example

Higgins, PM. and Vernitski, A., (2020). A new formulation of the semigroup of orientation-preserving and orientation-reversing mappings

Kayaturan, GC. and Vernitski, A., (2018). Encoding shortest paths in graphs assuming the code is queried using bit-wise comparison

Vernitski, A., (2015). An invariant of scale-free graphs

Vernitski, A., (2015). A simple technique for choosing and managing secure passwords: passwords with a random on-paper part

Grants and funding

2019

Machine learning for recognising tangled 3D objects

Leverhulme Trust

2018

Reducing socio-economic inequalities in HE participation: the role of information, peers and mindset

Office for Students

2016

Support of collaborative research

London Mathematical Society

Contact

asvern@essex.ac.uk
+44 (0) 1206 873024

Location:

STEM 5.15, Colchester Campus