L’Italia e molto caldo in Dicembre!

C’e il primo articolo che scrivo in Italiano! Mi studio l’Italiano per mezza anno. Voglio parlare con i miei amici Italiani molto bene..

Milano e una citta piu caldo che Istanbul. Non e facile da vivere in queste condizioni di tempo. Ma la mia cane, si chiama Montana, e molto felice perche la sua origine e di Bern, la citta da Svizzera. Quando nevica, usciamo di casa e facciamo una passeggiata a Milano. Tutti le veicoli di transporto permesso a viaggiare con il cane. A Istanbul, non e possibile di viaggiare con il cane.

Ho scrivato questo articolo senza usare la dizionario. Grazie a Prof.ssa Laura, Prof.ssa Aida e Prof.ssa Meltem per mi auitare nelle corse d’Italiano!

Buona natale!

What is the importance of a PhD degree for me?

As I was mentioned in my previous blog post, I started to my Ph.D. study. Actually, what the world expects from the Ph.D. students is that they should invent something in their own research area. Actually, it is not easy as writing these lines.. It may never happen, it is a total uncertainty.

In the recent five years, I contributed to various Data Science products at Vodafone Turkey R&D. They were all very important projects having own characteristics. But we were not inventing something new there; we were just applying what the prominent data scientists already show. Mostly, their approach had good results, but sometimes, like in Louvain algorithm in community detection, it didn’t work and we had to implement our own algorithm. As a result, we published our novel algorithm in one of the most prestigious conferences of Data Mining.

After leaving Vodafone and starting to my Ph.D., I feel myself alone but on the other hand, I feel stronger because I have my own freedom to determine to my focus area. During these days, I read many papers in Data Science, and I observed what the award winner Ph.D. students did in their dissertation around the world.

Here, I discovered that one of the paths could be:
1- Focus more on theoretical part Machine Learning
2- Observe the important research areas in Knowledge Discovery
3- Create a big data environment because less data means more bias
4- Apply Machine Learning techniques to on a real-world problem, and compare its results with existing approaches.
5- Discuss the results with the subject matter of experts, make optimizations and keep finding the best result

To be honest, I am not looking for a strategy to be graduated. I was already knowing while I was doing my Master and my work at Vodafone that Machine Learning brings great new opportunities for almost every domain. But I was unable to deep dive into it, for example in Neural Networks due to the fact that I was not able to spare time to learn such a complex field of study.

Now, I am extremely motivated that I have time to learn but as fast as possible…

Finally, this is a great illustration of what Ph.D. means for the world and for the people. Inventing something new does not mean that you are the most powerful man in the world. You only succeeded as the size of a single bit in a world of huge matrices.


And I think there are more dimensions in the world; rather than having two dimensions like the illustration below and each dimension has an impact on another. Poverty, wars, modern arts, space, family, health, beliefs, voluntary works, kindness, ethics…etc. So being a good person at all is more important than anything else.


Data Science Research Group at Politecnico Milano

Good news, I joined to Data Science Research Group of Politecnico Milano as Research Fellow. At the moment, this is a position with a temporary contract since we need to see if I could contribute well to the research of this community. My advisor will be Marco Brambilla, who is known for his studies in Web Science and Software Engineering.

I am very pleased with becoming a member(even as a temporary researcher) of this valuable group. I believe I will gain a broad knowledge by making research with my professors and I will be able to solve a significant research problem in my Ph.D. thesis.

You can get more information about the research group from here. http://datascience.deib.polimi.it