Featured on LinkedIn and Facebook

I am truly surprised and grateful that a photo of myself and my colleague is being featured on the university website and shared among social media, in particular, on LinkedIn and Facebook.

Talking science featuring Dr. Arezoo Sarkheyli-Hägele and myself

Talking science featuring Dr. Arezoo Sarkheyli-Hägele and myself (post adopted from LinkedIn).

In case you are interested what the text above means, see its translation below:

“Good teachers don’t grow on trees. They grow when they have the opportunity for skills development. As one of the country’s largest teacher training courses, we are involved in shaping the school of the future. The development of employees is a common responsibility that we share with the entire school community.

We offer you who work in the school a wide range of skills-developing training at half-speed, full time and evening. So we contribute to your skills development and to the school being able to both retain its dedicated employees and recruit new ones.”

But, the most important part is that if you want to know more about what Malmö university offers in terms of courses and programs take a look at  mau.se/gemensamtansvar

2020 academic semester kickoff

Today, was the kick-off to the new academic (Spring) semester.  I took the opportunity to present an overview of what is expected to be covered in the Information Security course. During this lecture, I also motivated students why it is important to study information security, introduced the course syllabus, and talked about the learning outcomes of the course.

This year, I have about 150 students taking my course. This is a great achievement especially considering that the course is an elective course. Talking to such large groups is always exciting and fun! You can see me below testing the microphone and preparing my laptop before the students start heading to the class.  All the lectures are delivered in a classroom setting but all the material including slides, supplementary material, and any assignments are uploaded on the course portal.

Getting ready at Malmö university (2020)

In addition to inviting two external academics as guests, this year, I invited two speakers from the industry. The speakers have many years of experience working with real-life security use cases and are working with international companies TrueSec and Fingerprints.

Learning Swedish is beneficial

If you are a foreigner living in Sweden you will be perfectly fine and survive well without knowing any Swedish. From my experience, the majority of people have an excellent command of the English language both spoken and written. Also, with tools such as “Google Translate” you can go a long way.

Nonetheless, I personally feel that if you want to better interact with the locals then learning Swedish is certainly of good help. You can try to learn Swedish from textbooks (e.g., Rivstart A1+A2), digital apps (e.g., Duolingo), or a combination, but in my opinion, attending a classroom is suggested. This is especially if you are new to the language and to the country. The other resources can come in handy later or as supplemental material.

In the fall of 2019, I was given the opportunity to attend a Swedish course organized by Malmö university. It was a great course, highly interactive and current. Putting some hard work and clocking some hours working on the essays, I managed to complete the course with success.

Swedish language certificate

Swedish language certificate

My suggestion if you have relocated to a country whether it is on a temporary basis or for a longer-term, I do recommend you take the challenge and learn the language of the country. This will not only improve your resume but will also help you win more friends and integrate better with the locals.

Tip: Keep tabs while waiting for your acceptance notification

It is common that when we submit a paper to a conference we have to wait a bit until we get an acceptance notification. In my research area, it is not unusual to wait for about 3 months to get a thumbs up or a thumbs down. This can be stretched further especially if the conference deadline was extended.  During this review time, typically we work on other things, come up with alternative ideas,  and maybe take a break.  It is also common that in this waiting time we may start noticing already how the paper can get improved. Maybe, you find a more recent related work that tackles the problem in a different way or perhaps simply find arguments that strengthen your proposal. Whatever the case, you want to keep track of those.  This is as you might what to consider them when revising your article. How do I do that?

On my Mac, I simply keep track of these using Notes app. I just create a new folder under iCloud and name it as the conference article or an alias of it.  In that folder, I create a note, titled “Ideas” and simply throw in any points or stuff to take care of when updating the paper submitted earlier. Then, when the notification of acceptance is due, I simply go through the reviewer comments together with the Ideas note and update the paper accordingly. I store my notes in iCloud because I can easily manage them for example through my smartphone. It often happens that the best ideas come when we are away or while resting from a problem.

So, my point is to encourage you to get organized early on in your research and simply not to leave it to the end to update your article. There are ideas that I am sure you came across while waiting for a notification of acceptance. Best to keep tabs and have notes readily available when you need them.

Human-centered AI Course

In the fall of 2019, I enrolled in the PhD course titled “Introduction to Human-centered AI. ” The course is delivered and managed by Cecilia Ovesdotter Alm from RIT university.

Human-centered AI is essentially a perspective on AI and ML that algorithms must be designed with awareness that they are part of a larger system consisting of human stakeholders. According to Mark O. Riedl,  the main requirements of human-centered AI can be broken into two aspects: (a) AI systems that have an understanding of human sociocultural norms as part of a theory of mind about people, and (b) AI systems that are capable of producing explanations that non-experts in AI or computer science can understand.

Human-centered AI

Course introduction lecture held at Malmö University (2019).

One of the course learning outcomes is to be able to demonstrate critical thinking concerning bias and fairness in data analysis, including but not limited to gender aspects. With regard to this, I have put together a 10 minutes presentation of the article “50 Years of Test (Un)fairness: Lessons for Machine Learning” written by Ben Hutchinson and Margaret Mitchell.