Research
My research interests span algorithm design, artificial intelligence, process mining, and the societal implications of emerging technologies.
Research Interests
Algorithm Design
Developing efficient computational methods for solving complex optimization and decision-making problems.
Artificial Intelligence
Exploring AI systems and their applications, from machine learning models to intelligent automation.
Process Mining
Analyzing event logs to discover, monitor, and improve real-world processes through data-driven insights.
Mathematical Modeling
Building mathematical frameworks to represent and simulate complex systems across disciplines.
Public Policy
Investigating how computational tools and data analysis can inform evidence-based policy decisions.
Societal Impact of AI
Examining the ethical, social, and political dimensions of artificial intelligence deployment.
Papers
"A Survey on the State of the Art in Process Mining"
A comprehensive review of current methodologies, tools, and applications in the field of process mining, covering process discovery, conformance checking, and enhancement techniques.
In preparation"System Modeling with Petri Nets: Methods and Applications"
An exploration of Petri net formalisms for modeling concurrent and distributed systems, with applications to workflow analysis and system verification.
In preparation"Dynamic Augmented Pool Testing"
Developing adaptive algorithms for group testing that dynamically adjust pool sizes and testing strategies to optimize resource usage and detection accuracy.
In preparation