Appointed Fellows

Viveka Erlandsson (2013–)


Viveka Erlandsson was born in Sweden. She received her B.Sci. and MA degrees in mathematics from San Francisco State University, and her PhD degree in mathematics from the City University of New York.

Her research interests lie in hyperbolic geometry and its related fields. In particular she studies higher dimensional real as well as complex hyperbolic spaces, and the discrete groups and quasi-isometries acting on these spaces. She defended her thesis entitled "The Margulis region in hyperbolic 4-space" in 2013. 

Filippo Federici Canova (2015–)


Filippo was born in Italy where he got an M.Sc. in experimental physics. He then moved to Helsinki and Tampere where, in September 2012, he obtained a Ph.D. in computational physics, focussing on theoretical modelling of atomic force microscopy. Right after graduation he went to Tohoku University, Japan, where he worked as associate researcher until January 2015.

During his research career, he collected experience of various computational tools for solving physics problems, such as molecular dynamics and ab-initio calculations, up to meso- and macro-scale modelling. His recent activities include the study of atomic-scale friction and lubrication dynamics of ionic liquids, and in particular, how to connect atomistic simulations to macroscopic measurements using multi-scale models. Among his interest also include machine-learning techniques such as neural networks and evolutionary algorithm, and their application to physical problems. 

Kaie Kubjas (2013–)


Kaie Kubjas was born in Tartu, Estonia. She received her undergraduate degree in mathematics from University of Tartu. She moved to Berlin for her graduate studies and will be completing her PhD in mathematics in May 2013 at Free University Berlin. During her doctorate she studied algebraic and combinatorial properties of statistical models coming from evolutionary biology.

Her main research interest is applying combinatorial methods to problems coming from applications. 

Martha Arbayani Zaidan (2015–)

Martha_Aceh.jpgMartha Arbayani Bin Zaidan was born in 1986, in Banda Aceh, Indonesia. In 2007, he received a BEng degree (with Cumlaude) in Electrical Engineering from Trisakti University, Indonesia. He holds MSc (Eng.) degree (with Distinction) in Control Systems in 2009 from Department of Automatic Control & Systems Engineering (ACSE), The University of Sheffield, UK. He earned his PhD as a Dorothy Hodgkin Postgraduate Award (DHPA) scholar in early 2014 from Rolls-Royce University Technology Centre for control and monitoring systems, at the University of Sheffield, UK, where his research was supported by aerospace industries, such as Rolls-Royce plc and Controls Data Services. His research focused on advanced Bayesian approaches for aerospace gas turbine engine prognostics. Soon after that, he joined Centre of Advanced Life Cycle Engineering (CALCE) at University of Maryland, College Park, USA to work as a Postdoctoral Research Associate on Prognostics and Health Monitoring (PHM). On the spring 2015, he spent one semester as a Visiting Faculty at Sultan Qaboos University, Oman, where he taught courses on control systems engineering and engineering dynamic. 

His research interests are in Machine Learning, Health Monitoring Technologies, Intelligent Control Systems, Systems Identification and various applications including bio-medical robotics, twin rotor dynamics, gas turbine engines, applied physics and other intelligent systems. His current research focuses on machine learning strategies for intelligent health monitoring and applied physics (materials and atmosphere sciences). Martha Arbayani Bin Zaidan's fellowship is mainly funded by Aalto Science Institute (AScI) and Centre of Excellence in Computational Nanoscience (COMP), Aalto University, Finland.


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