Dr Eliseo Ferrante PhD

Dr Eliseo Ferrante

Dubai Campus
Lecturer in Computer Science

Contact details

University of Birmingham Dubai
Dubai International Academic City
PO Box 341799
Dubai, UAE

Eliseo Ferrante is Lecturer in Computer Science.

Eliseo has published over 50 papers in peer-reviewed scientific journal and conference proceedings. Although trained as a computer science engineer, his publication are interdisciplinary and range between robotics, statistical physics, computational biology, artificial intelligence and optimization.

Eliseo is enthusiastic about artificial intelligence and self-organization. He is interested in developing very simple models of self-organization and in studying them from different perspectives, as well as applying them for large classes of problems. His research has been featured in major media sources such as Science Magazine and IEEE Spectrum.


Fellow of the Higher Education academy 2018

PhD in Applied Sciences, Université  Libre de Bruxelles, 2013

MSc in Computer Science Engineering, Politecnico di Milano, 2007

MSc in Computer Science, University of Illinois at Chicago, 2007

BSc in Computer Science Engineering, Politecnico di Milano, 2004


Dr. Eliseo Ferrante owns a Ph.D. in Engineering Sciences delivered by the Université  Libre de Bruxelles (ULB - Belgium) in 2013, a MSc in Computer Science from the University of Illinois at Chicago, and a MSc in Computer Science Engineering from Politecnico di Milano (Italy). He is currently a Lecturer at the University of Birmingham, where he contributes to both Dubai and UK campuses.  Prior to that, he has worked at Middlesex University (Dubai Campus) as Senior Lecturer, at the Université  de Technologie de Compiègne (France) as part-time Junior Research Chair, and at the KULeuven (Belgium) as a post-doctoral fellow.

Dr. Ferrante has authored more than 30 peer-reviewed publications, among which 17 publications in international journals with peer review, and 24 articles between peer-reviewed conference, workshops, and video proceedings. Some of Dr. Ferrante journal articles have been published in journals with high impact factor, including Physical Review Letters (IF 2016: 8.46), IEEE Transactions in Cybernetics (IF 2016: 7.38). He also authored a survey article with more than 650 citations since 2013. His Google Scholar H-index is 18, and the total number of citations is over 2000. Dr. Ferrante’s research was featured on international and national magazines, including Science Magazine and IEEE Spectrum.

Dr. Ferrante’s research focuses on swarm robotics studies from an interdisciplinary perspective comprising computational, statistical physics, and evolutionary models of collective behaviors. Some of the phenomena he studies include collective motion, task specialization, and collective decision-making in artificial agents and robots. His methodological expertise includes computer simulations, real robot experiments, evolutionary and mathematical models.


  • Data Structures and Algorithms (MSc Computer Science and ICY Computer Science)
  • Introduction to Human Computer Interaction

Postgraduate supervision

Co-supervising the following PhD students:

  • Ziya Firat – University of Namur
  • Judhi Prasetyo - University of Namur
  • Nicolas Cambier - Université  de Technologie de Compiègne



Complex networks

Swarm robotics

Complex systems

Statistical Physics of Active Particles

Theoretical Biology (evolution)

Machine learning

Evolutionary computation

Artificial Intelligence

Other activities

Review editor and research topic editor for Frontiers

Reviewer for the European Commission H2020

PC of several conferences (e.g. currently GECCO 2019)

Reviewer of several high profile journal (e.g. IEEE and Nature group)


  • G. Valentini, E. Ferrante, and M. Dorigo. The best-of-n problem in robot swarms: Formalization, state of the art, and novel perspectives. Frontiers in Robotics and AI, 4:9, 2017.
  • G. Valentini, E. Ferrante, H. Hamann, and M. Dorigo. Collective decision with 100 kilobots: speed versus accuracy in binary discrimination problems. Autonomous Agents and Multi-Agent Systems, pages 1–28, 2015.
  • E. Ferrante, A.E. Turgut, E. Duéñez-Guzmán, M. Dorigo, and T. Wenseleers. Evolution of self-organized task specialization in robot swarms. PLOS Computational Biology, 11(8):e1004273, 2015.
  •  M. Brambilla, E. Ferrante, M. Birattari, and M. Dorigo. Swarm robotics: A review from the swarm engineering perspective. Swarm Intelligence, 7:1–41, 2013.
  • E. Ferrante, A. E. Turgut, M. Dorigo, and C. Huepe. Elasticity-based mechanism for the collective motion of self-propelled particles with spring-like interactions: A model system for natural and artificial swarms. Physical Review Letters, 111(268302):1–5, 2013.
  • E. Ferrante, A. E. Turgut, C. Huepe, A. Stranieri, C. Pinciroli, and M. Dorigo. Self-organized flocking with a mobile robot swarm: a novel motion control method. Adaptive Behavior, 20(6):460–477, 2012.
  •  M. A. Montes de Oca, E. Ferrante, A. Scheidler, C. Pinciroli, M. Birattari, and M. Dorigo. Majority-rule opinion dynamics with differential latency: A mechanism for self-organized collective decision-making. Swarm Intelligence, 5(3–4):305–327, 2011.

View all publications in research portal