Contact Information
|
Edwardson School of Industrial Engineering Member of the Purdue Institute for Inflammation, Immunology, and Infectious Diseases Co-Director, Network Morphospace Lab Purdue University 315 N. Grant Street West Lafayette, IN 47907-2023 Email: mventresca (at) purdue (dot) edu Office: Grissom 292 |
Research
My research broadly explores the development and application of computational methods for improving quality of operational outcomes, discovering scientific insight, and promoting social good. Being a naturally inquisitive individual has led me to methodological and applied contributions across many areas, typically gravitating toward those requiring expertise in at least one of:
- Approximation algorithms, which aim to efficiently solve difficult optimization problems, while also providing guarantees on solution quality and run-time performance.
- Automated design and inference, whereby robust algorithms are developed for the purpose of automatically designing strategies or systems, or to ascertain the underlying principles or rules of a given system.
- Combinatorial optimization, where one searches for, or constructs, an optimal object from a (typically extremely large) finite set of objects (e.g., graphs, schedules, routes, resource allocation strategies or payoffs).
- Complexity engineering, where concepts from complexity science such as emergence and self-organization are applied to the design of complex systems.
- Game Theory, which is a branch of mathematics studying strategic actions between decision makers.
- Machine learning/AI, which leverages computational power to statisticall analyze, or learn from large and/or complex data sets in order to develop intelligent systems.
- Mathematical modeling, which uses mathematics to describe and create abstract models of real world systems.
- Nature-inspired computing, which seeks to develop algorithms based on concepts such as evolution and swarming intelligence to solve complex real-world problems.
- Network science, which focuses on understanding, controlling and predicting the structure and function of interconnected systems as well as processes acting upon them.
- Simulation, where computational models are devised to imitate salient behaviors/dynamics of real-world systems.
To find out more about my publications please check Google Scholar