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SCCS Colloquium

The SCCS Colloquium is a forum giving students, guests, and members of the chair the opportunity to present their research insights, results, and challenges. Do you need ideas for your thesis topic? Do you want to meet your potential supervisor? Do you want to discuss your research with a diverse group of researchers, rehearse your conference talk, or simply cheer for your colleagues? Then this is the right place for you (and you are also welcome to bring your friends along).

Upcoming talks

Egehan Orta: Deep Learning Based Approach to Find Cross-selling Opportunities in Insurance

SCCS Colloquium |

The growing digital data has increased companies’ knowledge of their customers and let companies sell new products to existing customers, which means cross-selling [1]. With cross-selling, companies can increase their profit easily since they already know the customer and have a relationship with them [2]. Some studies show that possible cross-sellings can be detected by using machine learning and deep learning models [3]. However, most of the studies cooperate with a company, and they use confidential data. Moreover, since cross-selling can be applied to any business field, the scope of the use cases differs. Therefore, these studies cannot conveniently be applied to a different use case. This project uses a dataset from a private insurance company with the aim of comparing traditional machine learning and deep learning model performances that predict cross-selling opportunities for life insurance. Instead of finding the possible cross-sellings, one of the goals was to test whether a deep learning model can outperform a traditional machine learning model with less feature engineering. In this study, it is shown that both the LightGBM model that we used as a traditional machine learning model and the LSTM based deep learning model can predict cross-sellings successfully. However, we spotted that the LightGBM model that was trained in this study gave better results with fewer computational resources than the LSTM model.

Master's thesis presentation. Egehan is advised by Levent Alkaya, Iryna Burak and Prof. Dr. Felix Dietrich.

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Contribute a talk

To register and schedule a talk, you should fill the form Colloquium Registration at least four weeks before the earliest preferred date. Keep in mind that we only have limited slots, so please plan your presentation early. In special cases, contact colloquium(at)mailsccs.in.tum.de.

Colloquium sessions are now on-campus. We have booked room MI 02.07.023 for WS24/25. You can either bring your own laptop or send us the slides as a PDF ahead of time. The projector only has an HDMI connection, so please bring your own adapters if necessary.

Do you want to attend but cannot make it in person? We now have a hybrid option. Simply join us through this BBB room: https://bbb.in.tum.de/shu-phv-eyq-rad

We invite students doing their Bachelor's or Master's thesis, as well as IDP, Guided Research, or similar projects at SCCS to give one 20min presentation to discuss their results and potential future work. The time for this is typically after submitting your final text. Check also with your study program regarding any requirements for a final presentation of your project work.

New: In regular times, we will now have slots for presenting early stage projects (talk time 2-10min). This is an optional opportunity for getting additional feedback early and there is no strict timeline.

Apart from students, we also welcome doctoral candidates and guests to present their projects.

During the colloquium, things usually go as follows:

  • 10min before the colloquium starts, the speakers setup their equipment with the help of the moderator. The moderator currently is Ana Cukarska. Make sure to be using an easily identifiable name in the online session's waiting room.
  • The colloquium starts with an introduction to the agenda and the moderator asks the speaker's advisor/host to put the talk into context.
  • Your talk starts. The scheduled time for your talk is normally 20min with additional 5-10min for discussion.
  • During the discussion session, the audience can ask questions, which are meant for clarification or for putting the talk into context. The audience can also ask questions in the chat.
  • Congratulations! Your talk is over and it's now time to celebrate! Have you already tried the parabolic slides that bring you from the third floor to the Magistrale?

Do you remember a talk that made you feel very happy for attending? Do you also remember a talk that confused you? What made these two experiences different?

Here are a few things to check if you want to improve your presentation:

  • What is the main idea that you want people to remember after your presentation? Do you make it crystal-clear? How quickly are you arriving to it?
  • Which aspects of your work can you cover in the given time frame, with a reasonable pace and good depth?
  • What can you leave out (but maybe have as back-up slides) to not confuse or overwhelm the audience?
  • How are you investing the crucial first two minutes of your presentation?
  • How much content do you have on your slides? Is all of it important? Will the audience know which part of a slide to look at? Will somebody from the last row be able to read the content? Will somebody with limited experience in your field have time to understand what is going on?
  • Are the figures clear? Are you explaining the axes or any other features clearly?

In any case, make sure to start preparing your talk early enough so that you can potentially discuss it, rehearse it, and improve it.

Here are a few good videos to find out more:

Did you know that the TUM English Writing Center can also help you with writing good slides?

Work with us!

Do your thesis/student project in Informatics / Mathematics / Physics: Student Projects at the SCCS.

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