Dario Landa-Silva
Scholar

Dario Landa-Silva

Google Scholar ID: T8jdVWwAAAAJ
University of Nottingham
heuristic algorithmsevolutionary algorithmscombinatorial optimizationmulti-objective optimizationsimulation optimization
Citations & Impact
All-time
Citations
1,167
 
H-index
17
 
i10-index
39
 
Publications
20
 
Co-authors
48
list available
Resume
Academic Achievements
  • Published numerous research outcomes; Involved in funded projects; Participated in various scientific professional activities.
Research Experience
  • Head of Computational Optimisation and Learning; Fellow of Advance Higher Education; Co-lead of Smart Systems and Operations in the TMC Initiative; Course Leader for the Heuristic Optimisation and Learning NATCOR course; Involved in several research and knowledge transfer projects including KTP (Knowledge Transfer Partnership) projects.
Education
  • BEng, MSc, PhD, FHEA
Background
  • His research interests lie at the interface between computer science, operations research, and artificial intelligence for the application of modeling, search, and optimization techniques to underpin the development of intelligent decision support systems across a range of real-world applications, particularly in logistic and operational scenarios. Specifically, his expertise is on tackling a range of complex combinatorial optimization problems such as vehicle routing, transport planning, personnel scheduling, timetabling, task assignment, room assignment, office space allocation, space planning, and other similar problems.
Miscellany
  • Currently teaches at the School of Computer Science, University of Nottingham, responsible for the Linear and Discrete Optimization course; Has taught multiple courses in the past; Has online profiles on Google Scholar, ORCID, Scopus, Web of Science, and LinkedIn.