## Home

## Education

- 2019 Professional Certificate in Data Science,
- Harvard University (HarvardX)
- 2013-2017 PhD in Computer Science,
**Awarded a Dean's Commendation for Doctoral Thesis Excellence** - School of Computer Science,

University of Adelaide,

Adelaide, Australia - 2006-2009 M.S. in Computer Science, Artificial Intelligence
- Department of Computer Engineering

Iran University of Science and Technology (IUST)

Tehran, Iran - 2001-2006 B.S. in Computer Science, Software Engineering
- Department of Computer Science, Faculty of Engineering

Shahid Beheshti University

Tehran. Iran

## Research Interests

- Data Analysis
- Machine learning
- Statistical Inference and Modeling
- Parameterised Complexity Analysis
- Randomized Search Algorithms
- Multi-Objective Optimization
- Evolutionary Computation

## Publications

- To appear in: B. Doerr, F. Neumann (Eds.), Theory of Randomized Search Heuristics in Discrete Search Spaces. Springer, 2019. . Neumann F, , Roostapour V, Analysis of Evolutionary Algorithms in Dynamic and Stochastic Environments,
- Neumann F, In Proceedings the Genetic and Evolutionary Computation Conference (GECCO’19), 2019. , Witt C, Improved runtime results for simple randomised search heuristics on linear functions with a uniform constraint,
- Theoretical Computer Science, 2019. , Roostapour V, Neumann F, Runtime Analysis of RLS and (1+1) EA for the Dynamic Weighted Vertex Cover Problem,
- Roostapour V, In Proceedings of the ACM/SIGEVO Conference on Foundations of Genetic Algorithms (FOGA’19), 2019. , Neumann F, Analysis of baseline evolutionary algorithms for the packing while travelling problem,
- Gao W, In proceedings of the 10th International Conference on Evolutionary Multi-Criterion Optimization, 2019. , Roostapour V, Neumann F, Runtime Analysis of Evolutionary Multi-Objective Algorithms Optimising the Degree and Diameter of Spanning Trees,
- Evolutionary Computation Journal, 2018. , Shi F, Neumann F, Parameterized analysis of multi- objective evolutionary algorithms and the weighted vertex cover problem.
- Evolutionary Computation Journal, 2018. , and Neumann F, Theoretical Analysis of Local Search and Simple Evolutionary Algorithms for the Generalized Travelling Salesperson Problem.
- In proceedings of 2017 IEEE Symposium Series on Computational Intelligence (SSCI2017), 2017. , Roostapour V, Neumann F, Improved Runtime Analysis of RLS and (1+1) EA for the Dynamic Vertex Cover Problem,
- In Proceedings of the 14th ACM/SIGEVO Conference on Foundations of Genetic Algorithms (FOGA’17), pages 37-44, 2017. , Friedrich T, and Neumann F, On the use of the dual formulation for minimum vertex cover in evolutionary algorithms.
- In Proceedings of the 14th Conference on Parallel Problem Solving from Nature (PPSN 2016), pages 729-739, 2016. , Shi F, and Neumann F, Parameterized Analysis of Multi-objective Evolutionary Algorithms and the Weighted Vertex Cover Problem.
- In Proceedings of 17th Genetic and Evolutionary Computation Conference (GECCO’15), 2015. , and Neumann F, On the Impact of Local Search Operators and Variable Neighbourhood Search for the Generalized Travelling Salesperson Problem.
- In Proceedings of 17th Genetic and Evolutionary Computation Conference (GECCO’15), 2015. , Gao W, and Neumann F, Maintaining 2-Approximations for the Dynamic Vertex Cover Problem using Evolutionary Algorithms.
- Gao W, In Proceedings of 17th Genetic and Evolutionary Computation Conference (GECCO’15), 2015. , Neumann F, Runtime Analysis of Evolutionary Diversity Optimization and the Vertex Cover Problem.
- Corus D, Lehre P.K, Neumann F and Evolutionary Computation, 1-21, 2015 , A Parameterised Complexity Analysis of Bi-Level Optimisation with Evolutionary Algorithms.
- International Conference on Computational Intelligence for Measurement Systems and Applications (CIMSA 2009) Hong Kong, China, 2009 , Mozayani N, Incorporating Expert Knowledge in Q-Learning by means of Fuzzy Rules
- 17th Iran Conference on Electronic Engineering, Tehran, Iran, 2009 (In Persian) , Mozayani N, Estimating State Value By Means of Fuzzy Rules in Reinforcement Learning,
- 2nd Iran Conference on Data Mining, Tehran, Iran, 2009 (In Persian) , Atabaki G, Minaee B, Classification by Means of Combining Association Rules and Decision Trees
- Shamsfard M, Mirshahvalad A, 15th Iran Conference on Electronic Engineering, Tehran, Iran, 2007 (In Persian) , Rostampour S, A Persian Language Processor: Combining Morphology, Syntax and Semantic

## Teaching

- Feb 2018 - Present, University of Adelaide

Position: Lecturer

Courses:

Algorithm Design and Data Structure

Event Driven Computing - Aug-Oct 2016, University of Adelaide

Position: Tutor for course EC (Evolutionary Computation) - Aug-Oct 2015, University of Adelaide

Position: Lecturer for course IPE (Introduction to Programming for Engineers) - Aug-Oct 2014: University of Adelaide

Position: Lecturer and tutor for course FCS (Foundations of Computer Science)

## Contact Details

- Office
- School of Computer Science,

Ingkarni Wardli,

University of Adelaide,

Adelaide SA 5000,

Australia - mojgansometext{dot}and morepourhassan{at}adelaide.edu.au