Hi, I am a Postdoctoral Research Associate at the Network Science Institute at Northeastern University. I work under the supervision of Professor Tina Eliassi-Rad and in collaboration with Professor Dmitri Krioukov. My research interests lie in the intersection of the theory of graph machine learning, network theory and trustworthy AI.

I completed my Ph.D. in Computer Science at Northeastern University, where I was advised by Professor Alina Oprea. I was affiliated with the NDS2 lab and was a part of the Cybersecurity and Privacy Institute. During my doctoral years, I conducted research on adversarial machine learning and cybernetworks resilience.

Before joining Northeastern, I received my BS degree in Applied Mathematics and Computer Science from Belarusian State University, where I was affiliated with the Mathematical Modeling and Data Analysis Department under the supervision of Professor Vladimir Malugin . My research focus included the design of hedging algorithms based on derivative contracts. Additionally, I was a part of the Research Institute of Applied Mathematics and Information Technology Problems, where I participated in the project for credit rankings estimation and evaluation of national enterprises using mathematical, statistical, and econometric methods and models.

My other interests include hiking and yoga, film photography and visual art, music and soundscapes.

Publications

• Modeling Self-Propagating Malware with Epidemiological Models
  Alesia Chernikova, Nicolò Gozzi, Simona Boboila, Nicola Perra, Tina Eliassi-Rad, and Alina Oprea
  Applied Network Science (ANS) 2023
• Cyber Network Resilience against Self-Propagating Malware Attacks
  Alesia Chernikova, Nicolò Gozzi, Simona Boboila, Priyanka Angadi, John Loughner, Matthew Wilden, Nicola Perra, Tina Eliassi-Rad, and Alina Oprea
  European Symposium on Research in Computer Security (ESORICS) 2022
• FENCE: Feasible Evasion Attacks on Neural Netwoks in Constrained Environments
  Alesia Chernikova and Alina Oprea
  ACM Transactions on Privacy and Security (ACM TOPS) 2022
• Are Self-Driving Cars Secure? Evasion Attacks against Deep Neural Networks for Steering Angle Prediction
  Alesia Chernikova, Alina Oprea, Cristina Nita-Rotaru and Baekgyu Kim
  IEEE Workshop on the Internet of Safe Things collocated with IEEE S&P 2019
• Hedging Algorithms Based on Interest-rate Swaps
  Alesia Chernikova and Vladimir Malugin
  In the 70th undergraduate, graduate, and postgraduate students scientific conference of Belarusian State University (vol. 1, pp. 242 – 245)