Mario Ventresca
Scholar

Mario Ventresca

Google Scholar ID: dtRB8PQAAAAJ
Associate Professor, Edwardson School of Industrial Engineering, Purdue University
complex systemsmachine learningoptimizationnature-inspired computingepidemiology
Citations & Impact
All-time
Citations
2,034
 
H-index
20
 
i10-index
36
 
Publications
20
 
Co-authors
10
list available
Contact
No contact links provided.
Resume (English only)
Academic Achievements
  • For a list of publications, please see his personal website's publications page.
Research Experience
  • Associate Professor at Purdue University; Member of the Edwardson School of Industrial Engineering; Member of the Purdue Institute for Inflammation, Immunology, and Infectious Diseases; Co-Director, Network Morphospace Lab.
Education
  • PDF, Univ. of Toronto (2013); PDF, Univ. of Cambridge (2011); PhD, Univ. of Waterloo (2009); MSc, Univ. of Guelph (2005); BSc, Brock Univ. (2003).
Background
  • Research interests include: approximation algorithms, automated design and inference, combinatorial optimization, complexity engineering, machine learning/data science, mathematical modeling, nature-inspired computing, and network science. Specializes in industrial engineering, particularly in the analysis, prediction, design, optimization, and control of complex systems.
Miscellany
  • Teaching: IE 332: Computing in Industrial Engineering; IE 590: Nature-Inspired Computing.