Hello there,
I'm Martin Drozdik.
A freelance software developer and researcher based in Vienna.
Applied mathematics graduate from Comenius University, Slovakia. Doctorate in engineering (computer science) from Shinshu University, Japan.
Research
My research is about multi-objective optimization using evolutionary computation. Now, let us disassemble that into smaller pieces. At first, we look at optimization.
optimization
Suppose that you want to go on a round trip around USA. You select the cities you want to visit and mark them on a map. Suppose you can fly from one city to another in a straight line.
read more...evolutionary computation
Evolution works on two levels, the genetic level, and the environmental level. On each level, there are two fundamental concepts: mating and survival of the fittest at the environmental level, and crossover and mutation on the genetic level
read more...
Professional Experience
Software developer, AskBe4Vienna, Austria
Backend development
2016-2017freelance programmer, freelancer.comVienna, Austria
Development of a floating license system (C++14/Qt 5/SSL) Single-handedly implemented a client-server system according to client’s specification.
2016Software developer, OM PartnersAntwerp, Belgium
Developing and maintaining an advanced enterprise planning application. Key technologies: C++, Qt, SQL, Windows.
2015-2016Doctoral Student, Tanaka-Hernan-Akimoto laboratoryNagano, Japan
Multi-objective optimization using evolutionary computation.
2011-2015Researcher, Dolphin teamInaria, Lille, France
Exploration of differential evolution parameters Key technologies: (C++/Qt).
2013-2014Programmer, Accenture Technology SolutionsVienna, Austria
Administered IBM mainframe jobs (JCL, ISPF, DB2, PL/I) and wrote technical documentation.
2010-2011My Publications
Here is a list of my most recent publications, presented at different conferences such as Intelligent optimization conference, Simulated Evolution and leaning conference 2014, and GECCO 2013 conference.
- An Analysis of Differential Evolution Parameters on Rotated Bi-objective Optimization Functions
- Computational Cost Reduction of Non-dominated Sorting Using the M-front
- Attempt to Reduce the Computational Complexity in Multi-objective Differential Evolution Algorithms
- Comparison of Parameter Control Mechanisms in Multi-objective Differential Evolution
Get in touch
To say hello, or to discuss interesting job opportunities, I would love to hear from you.