Prof. Dr. Dagmar Monett
Professor of Computer Science
Berlin School of Economics and Law, Germany

About Dagmar Monett

I am a full Prof. of Computer Science (Artificial Intelligence, Software Engineering) at the Technnology Division of the Berlin School of Economics and Law (HWR Berlin) since August 2010.

Head of the Computer Science Department (in German: Fachleiterin der Fachrichtung Informatik) at the Faculty of Cooperative Studies Business • Technology (in German: Fachbereich Duales Studium Wirtschaft • Technik), since April 2022.

Academic Co-Director of the Master's study programme Digital Transformation (M.Sc.) at the Berlin Professional School, HWR Berlin, since December 2020.

Co-Founding Member of the Institute for Data-Driven Digital Transformation (d-cube), HWR Berlin.

Mentor at the Startup Incubator Berlin, HWR Berlin.

Co-Founder of the AGI Sentinel Initiative,

AI Expert at Ms. AI, "to support humans [especially women] to understand, thoughtfully use and thrive with Artificial Intelligence."

Advisory Board member at AI Forum.

With more than 30 years of research and teaching experience, I have served as invited speaker, panelist, author, session chair, and member of scientific committees (among other roles) at several AI and non-AI leading conferences, workshops, and other events worldwide.

My current research fields include AI, in general, and some of its subfields, in particular, as well as AI ethics, digital ethics, software engineering methods and techniques, and computer science education. And my most recent work focuses on intelligence research, particularly on defining and understanding both (machine) intelligence and its boundaries.

I am also interested in machine learning, robotics in education, metaheuristics, knowledge-based systems, and software design and development including Agile. My previous scientific work addresses them, as well as distributed AI, agents and multiagent systems, automatic differentiation, and socionics. See my research interests for more!

I was born and raised in Cuba. Germany is my second homeland since October 4th, 1999.

Long-distance runner (5K, 10K, and half marathons), avid reader, occasional Yogi.

(Foto: Oana Popa-Costea)


Ph.D. Computer Science (Dr. rer nat. in Informatik), Agent-Based Configuration of (Metaheuristic) Algorithms,(⋆) Humboldt University of Berlin, Germany (2005).
      Advisor: Prof. Dr. Hans-Dieter Burkhard
      [See Abstract (DE/EN) and Contents (ISBN: 978-3-8322-4010-3)]
      [See the slides of the Doctoral Dissertation on Februry 25th, 2005.]
⋆: If I had to use a hyped AI language, the title of my PhD thesis would be something like “Intelligent, semiconscious hyperparameter tuning of agnostic machine learning optimizers.” But no, I'm not that guy ...

M.Sc. Computer Science, Havana University, Cuba (1998): Implementation of Evolutionary Techniques and Design of Intelligent Agents for the Mathematical Modelling of Chemical Processes (in Spanish).

B.Sc. Mathematics Cybernetics (Best Thesis Award, student event), Havana University, Cuba (1992): Expert System for Parameter Estimation in Differential Equations (in Spanish).

Bombe facts

I took this picture when I visited the amazing Bletchley Park on March 4th, 2016. It is a side view of a working Bombe with trios of drums that are replicating the behaviour of the rotors in an Enigma machine. The security guard was very kind; he let me enter the restricted area to take a close-up picture of a loud, real Bombe!

Not only the breathtaking place but also the stupendous, informative, and historical exhibitions impressed and touched me very deeply. For example, there is much about Alan Turing, the father of Artificial Intelligence (my field of specialisation) in Bletchley Park. Personal belongings, publications, lots of information about both his life and research. He and Gordon Welchman designed the Bombe.

In his book Bletchley Park: Demystifying the Bombe (Pitkin Publishing, The History Press Ltd, 2014), Dermot Turing, Alan Turing's nephew, summarises some of the most important facts about the Bombe. Three of them are:

      “The version of the Enigma machine used by the German army and air force could be set up a maximum of 158.9 million million million different ways by its operators.”

      “The German navy's Enigma machine could be set up a maximum of 889.8 million million million ways.”

      “A sucessful run of a Bombe machine could reduce these large numbers to around a million possible settings in about 20 minutes.”

That was more than 70 years ago. Compare to the computing power of mobile processors we now use in everyday life!

Some scholarships and prizes

10/2003 - 12/2003: Scholarship from the Berliner Programm zur Förderung der Chancengleichheit von Frauen (Berlin Program to Promote Equal Opportunities of Woman), Berlin, Germany.

10/2002 - 09/2003: Scholarship from the Rosa Luxemburg Foundation.

04/2000 - 03/2002: Sandwich-Scholarship from the DAAD, German Academic Exchange Service.

07/1996 - 01/1997: Study and research semester, Simón Bolívar University, Caracas, Venezuela, with travel grant from the Third World Academy of Sciences (TWAS), Italy.

1995: Annual Prize to the Best Scientific Result on the Application of Computer Science (with coauthors), Havana University, Havana, Cuba.

1994: Annual Prize and National Prize to the Best Scientific Research (with coauthors), Ministry of High Education and Academy of Sciences, respectively, Cuba.

1993: Distinguished Researcher Award, Havana University, Havana, Cuba.

1993: Annual Prize to the Best Scientific Research Group (with coauthors), Havana University, Cuba.