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Short Bio:

Γειά σας! I am Marilena Lemonari and currently, I am a PhD student of Computer Science/Graphics at the University of Cyprus (UCY) under the supervision of Prof. Yiorgos Chrysanthou and Prof. Marios Avraamides, as a part of CLIPE, a Horizon Marie-Curie ITN Project. Before that, Ι was awarded my MSc in Machine Learning from UCL (2020). In 2019, Ι received my BSc in Mathematics from The University of Nottingham.

Recently, Ι have completed my 3-month secondment at Inria as a research guest, during which, I’ve worked on intuitive control for characters and small groups. As an Early-Stage Researcher (ESR) for CLIPE, my research interests revolve around crowd control and authoring, machine learning for computer graphics and behavioural crowd simulation.

Find me:

• Social Media: LinkedIn, Twitter
• Contact me: lemonari.marilena@ucy.ac.cy
• Other: ORCHID iD, ResearchGate
• Associated Teams: Clipe Project, UCY Graphics Lab, V-EUPNEA

Publications:

Eurographics 2022: ‘Authoring Virtual Crowds: A Survey’
webpage

SIGGRAPH 2022: ‘CCP: Configurable Crowd Profiles’
code/website, video, fast-forward, webpage

IEEE Computer Graphics & Applications 2022: ‘Digitizing Wildlife: The case of reptiles 3D virtual museum’
webpage, video

CLIPE

website, LinkedIn, Twitter, Zenodo

1. Training Workshops

1. Summer School on Virtual Humans (UCY, Ayia Napa, CY)
2. Workshop on EU Funding, grant writing and career advancement (Inria, Rennes, FR)

2. Secondments

• Visiting PhD Student: February-May 2022 (Inria, Rennes, FR)

Higher Education:

Computer Science Ph.D. (Ongoing)

University of Cyprus (UCY), CY

Topic: ‘Intuitive control for virtual characters and groups’.
Lab: UCY Graphics Lab
Related Modules:

• Computer Games Software Technology
• Object-Oriented Programming

Machine Learning MSc.

University College London (UCL), UK

Dissertation: ‘Characterising CNN and LSTM-based dissimilarity measure for monkey neural recordings’.
Lab: Love Lab
Related Modules:

• Applied Machine Learning
• Machine Vision

Mathematics BSc.

The University of Nottingham (UoN), UK

Related Modules:

• Applied Statistical Modelling
• Scientific Computation and Numerical Analysis
• Optimization