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Personal profile

Quote

"Increases in data and computational power mean Artificial Intelligence (AI) has considerable societal impact. Although impactful, the AI theory is extremely far from creating true intelligence. Thus, the question is not what AI will do to humans, but how humans will improve AI and what they will do with it?"

Research profile

Decebal 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 (TU/e) since September 2017, and a member of TU/e Young Academy of Engineering. His short-term research interest is to conceive scalable deep artificial neural network models and their corresponding learning algorithms using principles from network science, evolutionary computing, optimization and neuroscience. Such models shall have sparse and evolutionary connectivity, make use of previous knowledge, and have strong generalization capabilities to be able to learn, and to reason, using few examples in a continuous and adaptive manner.

Most science carried out throughout human evolution uses the traditional reductionism paradigm, which even if it is very successful, still has some limitations. Aristotle wrote in Metaphysics “The whole is more than the sum of its parts”. Inspired by this quote, in long term, Decebal would like to follow the alternative complex systems paradigm and study the synergy between artificial intelligence, neuroscience, and network science for the benefits of science and society.

Academic background

In 2017, Decebal received his PhD in Artificial Intelligence and Network Science from TU/e. During his doctoral studies, Decebal undertook three research visits: the University of Pennsylvania (2014), Julius Maximilian University of Wurzburg (2015), and University of Texas, Austin (2016).

Prior to this, in 2013, he obtained his MSc in Artificial Intelligence from Maastricht University . During his master studies, Decebal also 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. Decebal obtained his Licensed Engineer degree from University Politehnica of Bucharest. While in Bucharest, 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 as a software engineer at Namedrive LLC.

Affiliated with

  • Department of Mathematics and Computer Science
  • Data Science Center Eindhoven (DSC/e)

Partners in (semi-)industry 

  • Philips
  • TNO

Education and Teaching

We have an open PhD position on:

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Projects 2016 2018

Interoperability of Heterogeneous IoT Platforms

Liotta, A., Exarchakos, G., van Hout, J., Mocanu, D., Moerenhout, M., Moerenhout, M. & van der Lee, T.

1/01/1631/12/18

Project: Research direct

Research Output 2013 2019

3 Citations

Scalable training of artificial neural networks with adaptive sparse connectivity inspired by network science

Mocanu, D. C., Mocanu, E., Stone, P., Nguyen, H. P., Gibescu, M. & Liotta, A., 19 Jun 2018, In : Nature Communications. 9, 1, 12 p., 2383

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
education
Learning
Neural networks
Neural Networks (Computer)
Artificial Intelligence
4 Citations

Decentralized dynamic understanding of hidden relations in complex networks

Mocanu, D. C., Exarchakos, G. & Liotta, A., 25 Jan 2018, In : Scientific Reports. 8, 1, 15 p., 1571

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
Complex networks
games
Electric network analysis
Artificial intelligence
network analysis

Online contrastive divergence with generative replay: experience replay without storing data

Mocanu, D. C., Torres Vega, M., Eaton, E., Stone, P. & Liotta, A., 18 Oct 2016, In : arXiv. abs/1610.05555

Research output: Contribution to journalArticleAcademic

Reinforcement learning
Data storage equipment
Unsupervised learning
Supervised learning
Learning algorithms

On the synergy of network science and artificial intelligence

Mocanu, D. C., 2016, Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence (IJCAI 2016). Palo Alto: AAAI Press

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Open Access
File
Reductionism
Synergy
Artificial Intelligence
Paradigm
Complex Systems
20 Citations

Factored four way conditional restricted Boltzmann machines for activity recognition

Mocanu, D. C., Bou Ammar, H., Lowet, D. J. C., Driessens, K., Liotta, A., Weiss, G. & Tuyls, K. P., 2015, In : Pattern Recognition Letters. 66, p. 100-108

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
Neurons
Markov processes
Learning algorithms
Labels
Robotics

Prizes

Highly Commended Paper Award - International Journal of Pervasive Computing and Communications

Decebal Mocanu (Recipient), 2017

Recognition: OtherCareer, activity or publication related prizes (lifetime, best paper, poster etc.)Scientific

Travel Award at IJCAI 2016

Decebal Mocanu (Recipient), 11 Jul 2016

Recognition: OtherScholarshipsScientific

Master AI Thesis Award, 1st prize, Maastricht University, the Netherlands

Decebal Mocanu (Recipient), 12 Jul 2013

Recognition: OtherCareer, activity or publication related prizes (lifetime, best paper, poster etc.)Scientific

artificial intelligence
Netherlands

Best Paper Award MoMM2015

Decebal Mocanu (Recipient), 13 Dec 2015

Recognition: OtherCareer, activity or publication related prizes (lifetime, best paper, poster etc.)Scientific

Certificate of appreciation from the Journal of Electronic Imaging for serving as a reviewer.

Decebal Mocanu (Recipient), 1 Jan 2015

Recognition: OtherCareer, activity or publication related prizes (lifetime, best paper, poster etc.)Scientific

Activities 2014 2016

  • 2 Visiting an external academic institution
  • 1 Contributed talk

University of Texas at Austin

Decebal Mocanu (Visiting researcher)
16 Jan 201616 Apr 2016

Activity: Visiting an external institution typesVisiting an external academic institutionScientific

"Deep Learning and its applicability" at University of Würzburg, Germany.

Decebal Mocanu (Speaker)
24 Aug 201528 Aug 2015

Activity: Talk or presentation typesContributed talkScientific

University of Pennsylvania

Decebal Mocanu (Visiting researcher)
15 Sep 201415 Dec 2014

Activity: Visiting an external institution typesVisiting an external academic institutionScientific

Courses

Foundations of data mining

1/09/17 → …

Course

Kick-off meeting Web Science

1/09/15 → …

Course

Student theses

Evolving sparse neural networks using cosine similarity

Author: Pieterse, J., 31 Aug 2018

Supervisor: Mocanu, D. (Supervisor 1)

Student thesis: Master

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