Alina Vereshchaka

Alina Vereshchaka is an Assistant Professor of Teaching in the Department of Computer Science and Engineering at the University at Buffalo. She holds a PhD in Computer Science from the same institution (2021). Her research focuses on optimal control in complex systems, including social behavior modeling, deep reinforcement learning, multi-agent systems, adversarial machine learning, transportation dynamics, and large-scale social system dynamics. She leads projects involving epidemic modeling, smart city infrastructure optimization, and disinformation detection.

• Education: PhD in Computer Science, University at Buffalo, 2021

Her work bridges theoretical machine learning advancements with real-world applications in public health, transportation, and crisis management. Key research themes include:

• Optimizing epidemic intervention strategies using reinforcement learning
• Urban traffic prediction through vehicle trajectory analysis
• Automated disinformation detection systems
• Multi-agent resource allocation during disasters

Dr. Vereshchaka's recent publications (2018-2024) emphasize data-driven decision-making frameworks across transportation networks, healthcare systems, and social media platforms. Though no specific grants or awards are listed, her work reflects interdisciplinary collaboration with engineering and public health domains. She currently advises no listed students and maintains an active research website and dblp profile for further details.