ERC FUNDED PROJECTS

Parameterized mathematical models have been central to the understanding and design of communication, networking, and radar systems. However, they often lack the ability to model intricate interactions innate in complex systems. On the other hand, data-driven approaches do not need explicit mathematical models for data generation and have a wider applicability at the cost of flexibility. These approaches need labelled data, representing all the facets of the system interaction with the environment. With the aforementioned systems becoming increasingly complex with intricate interactions and operating in dynamic environments, the number of system configurations can be rather large leading to paucity of labelled data. Thus there are emerging networks of systems of critical importance whose cognition is not effectively covered by traditional approaches. AGNOSTIC uses the process of exploration through system probing and exploitation of observed data in an iterative manner drawing upon traditional model-based approaches and data-driven discriminative learning to enhance functionality, performance, and robustness through the notion of active cognition. AGNOSTIC clearly departs from a passive assimilation of data and aims to formalize the exploitation/exploration framework in dynamic environments. The development of this framework in three applications areas is central to AGNOSTIC. The project aims to provide active cognition in radar to learn the environment and other active systems to ensure situational awareness and coexistence; to apply active probing in radio access networks to infer network behaviour towards spectrum sharing and self-configuration; and to learn and adapt to user demand for content distribution in caching networks, drastically improving network efficiency. Although these cognitive systems interact with the environment in very different ways, sufficient abstraction allows cross-fertilization of insights and approaches motivating their joint treatment.

2 499 595 €

Start date: 2017-10-01, End date: 2022-09-30

"The attine fungus-growing ants are prime models for understanding phenotypic adaptations in social evolution and symbiosis. The mutualism has many hallmarks of advanced cooperation in its mating system commitments and functional complementarity between multiple symbiont partners, but potential conflicts between sexes and castes over reproductive priorities, and between hosts and symbionts over symbiont mixing have also been documented. With collaborators at BGI-Shenzhen and the Smithsonian Institution my group has obtained six reference genomes representing all genus-level branches of the higher attine ants and a lower attine outgroup. With collaborators in Denmark and Australia we have pioneered proteomic approaches to understand the preservation of sperm viability in spite of sperm competition and the enzymatic decomposition of plant substrates that the ants use to make their fungus gardens grow. Here, I propose an integrated study focusing on four major areas of attine ant biology that are particularly inviting for in depth molecular approaches: 1. The protein-level networks that secure life-time (up to 20 years) sperm storage in specialized ant-queen organs and the genetic mechanisms that shape and adjust these “sexual symbiome” networks. 2. The ant-fungal symbiome, i.e. the dynamics of fungal enzyme production for plant substrate degradation and the redistribution of these enzymes in fungus gardens through fecal deposition after they are ingested but not digested by the ants. 3. The microbial symbiome of ant guts and other tissues with obligate bacterial mutualists, of which we have identified some and will characterize a wider collection across the different branches of the attine ant phylogeny. 4. The genome-wide frequency of genomic imprinting and the significance of these imprints for the expression of caste phenotypes and the regulation of potential reproductive conflicts."

2 290 102 €

Start date: 2013-05-01, End date: 2018-04-30

Why is the world green? Because predators control herbivores, allowing plants to flourish. This >50 years old answer to the deceptively simple question remains controversial. After all, plants are also protected from herbivores physically and by secondary chemistry. My goal is to test novel aspects of the “green world hypothesis”: ● How the importance of top-down effects varies with forest diversity and productivity along a latitudinal gradient? ● How the key predators, birds, bats and ants, contribute to top-down effects individually and in synergy? I strive to understand this because: ● While there is evidence that predators reduce herbivore abundance and enhance plant growth, the importance of top-down control is poorly understood across a range of forests. ● The importance of key predatory groups, and their antagonistic and synergic interactions, have been rarely studied, despite their potential impact on ecosystem dynamics in changing world. I wish to achieve my goals by: ● Factorial manipulations of key insectivorous predators (birds, bats, ants) to measure their effects on lower trophic levels in forest understories and canopies, accessed by canopy cranes, along latitudinal gradient spanning 75o from Australia to Japan. ● Studying compensatory effects among predatory taxa on herbivore and plant performance. Why this has not been done before: ● Factorial experimental exclusion of predatory groups replicated on a large spatial scale is logistically difficult. ● Canopy crane network along a latitudinal gradient has only recently become available. I am in excellent position to succeed as I have experience with ● foodweb experiments along an elevation gradient in New Guinea rainforests, ● study of bird, bat and arthropod communities. If the project is successful, it will: ● Allow understanding the importance of predators from temperate to tropical forests. ● Establish a network of experimental sites along a network of canopy cranes open for follow-up research.

1 455 032 €

Start date: 2018-12-01, End date: 2023-11-30

Brain structure determines function. Disentangling regional microstructural properties and understanding how these properties constitute brain function is a central goal of neuroimaging of the human brain and a key prerequisite for a mechanistic understanding of brain diseases and their treatment. Using magnetic resonance (MR) imaging, previous research has established links between regional brain microstructure and inter-individual variation in brain function, but this line of research has been limited by the non-specificity of MR-derived markers. This hampers the application of MR imaging as a tool to identify specific fingerprints of the underlying disease process. Exploiting state-of-the-art ultra-high field MR imaging techniques, I have recently developed two independent spectroscopic MR methods that have the potential to tackle this challenge: Powder averaged diffusion weighted spectroscopy (PADWS) can provide an unbiased marker for cell specific structural degeneration, and Spectrally tuned gradient trajectories (STGT) can isolate cell shape and size. In this project, I will harness these innovations for MR-based precision medicine. I will advance PADWS and STGT methodology on state-of-the-art MR hardware and harvest the synergy of these methods to realize Cell-specific in-vivo MORPHOMETRY (C-MORPH) of the intact human brain. I will establish novel MR read-outs and analyses to derive cell-type specific tissue properties in the healthy and diseased brain and validate them with the help of a strong translational experimental framework, including histological validation. Once validated, the experimental methods and analyses will be simplified and adapted to provide clinically applicable tools. This will push the frontiers of MR-based personalized medicine, guiding therapeutic decisions by providing sensitive probes of cell-specific microstructural changes caused by inflammation, neurodegeneration or treatment response.

1 498 811 €

Start date: 2018-12-01, End date: 2023-11-30