dr. D.C. (Decebal) Mocanu - Expertise
P.O. Box 513
5600 MB EINDHOVEN
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- D16600 - Artificial intelligence, expert systems
- D16300 - Theoretical computer science
- D16100 - Computer systems, architectures, networks
- Machine Learning, Artificial Neural Networks, Deep Learning
- Supervised, Unsupervised, and Reinforcement Learning
- Pattern Recognition, Computer Vision, Image Processing
- Network Science, Graph Theory
Decebal Constantin Mocanu is an Assistant Professor in Artificial Intelligence and Machine Learning within the Data Mining group, Department of Mathematics and Computer Science, Eindhoven University of Technology, the Netherlands, since September 2017.
Decebal´s short term research interest is to conceive scalable deep artificial neural networks models and their corresponding learning algorithms using principles from network science, evolutionary computing, optimization, and neuroscience. Such models shall have sparse and evolutionary connectivity, shall make use of previous knowledge, and shall have strong generalization capabilities to be able to learn, and to reason, using few examples in a continuous and adaptive manner. In long term, Decebal is interested to study the synergy between network science, neuroscience, and artificial intelligence, with a focus on neural networks, either if they are biological or artificial.
He was born in 1980, in Mizil, Romania. During high school at the National College Mihai Viteazul, Ploiesti, where he graduated in 1998 with a baccalaureate diploma, he qualified several times to the Romanian national Olympiad in Informatics, winning the 3rd prize in 1997. Further on, he continued studying Informatics at the University Politehnica of Bucharest, gaining the Licensed Engineer degree in Computer Science in 2010. In parallel with his engineering studies, between 2001 and 2010, Decebal started MDC Artdesign SRL (a software house specialized in web development), worked as a computer laboratory assistant at the University Nicolae Titulescu, and was a software engineer at Namedrive LLC.
In January 2011, Decebal moved from Romania to Netherlands, where he joined the master program in Artificial Intelligence at Maastricht University. During the whole period of his master studies, Decebal worked as a part time software developer at We Focus BV in Maastricht. In the last year of his master studies, he also worked as an intern at Philips Research in Eindhoven, where he prepared his internship and master thesis projects. He obtained the MSc degree in May 2013, being rewarded with the 1st prize ''Master AI Thesis Award'' from Maastricht University, for his thesis titled "Activity recognition using four way conditional restricted Boltzmann machine and 3D sensors".
In September 2013, Decebal started his PhD research in Network Science and Artificial Intelligence within the ECO group, Department of Electrical Engineering, Eindhoven University of Technology, the Netherlands, which he graduated in June 2017. While enrolled in his doctoral studies, he performed three research visits. In 2014, he worked for three months as a visiting scholar at University of Pennsylvania, USA; in 2015, he made an one-week research visit at Julius Maximilian University of Wurzburg, Germany; and, in 2016, he was for three months a visiting researcher at University of Texas at Austin, USA.