Dávid Csercsik

Dávid Csercsik
Pázmány Péter Catholic University · Faculty of Information Technology

PhD

About

79
Publications
6,703
Reads
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260
Citations
Citations since 2016
41 Research Items
181 Citations
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2016201720182019202020212022010203040
2016201720182019202020212022010203040
Introduction
Additional affiliations
June 2014 - May 2015
Hungarian Academy of Sciences
Position
  • Researcher
September 2012 - present
Pázmány Péter Catholic University
Position
  • Researcher
January 2012 - May 2012
University of Otago
Position
  • PostDoc Position

Publications

Publications (79)
Article
Full-text available
To understand the impact of keeping Nord Stream 2 off the map, we model the European natural gas market from the point of view of supply security. Focusing on the network aspects, we propose a novel framework to measure supply security, combining a linear programming approach with a risk assessment technique, expected shortfall (ES) borrowed from f...
Preprint
Full-text available
The escalating gas-supply crisis in the EU calls for immediate political and regulatory actions to improve the energy security. Currently, all member states are aiming to fill their reservoirs independently, while it is not clear how solidarity will or even could be put into practice in the future, i.e. how the accumulated reserves of one or more m...
Preprint
Full-text available
Algorithms based on combinatorial auction (CA) show significant potential regarding their application for channel assignment problems in multiconnective ultra-reliable wireless networks. However the computational effort required by such algorithms grows fast with the number of users and resources. Therefore, preallocation-based CA represents a prom...
Article
In this paper we propose a mechanism for the allocation of pipeline capacities, assuming that the participants bidding for capacities do have subjective evaluation of various network routes. The proposed mechanism is based on the concept of bidding for route-quantity pairs. Each participant defines a limited number of routes and places multiple bid...
Article
Full-text available
Pandemic management requires reliable and efficient dynamical simulation to predict and control disease spreading. The COVID-19 (SARS-CoV-2) pandemic is mitigated by several non-pharmaceutical interventions, but it is hard to predict which of these are the most effective for a given population. We developed the computationally effective and scalabl...
Preprint
Full-text available
We consider a general multi-connectivity framework, intended for ultra-reliable low-latency communications (URLLC) services, and propose a novel, preallocation-based combinatorial auction approach for the efficient allocation of channels. We compare the performance of the proposed method with several other state-of-the-art and alternative channel-a...
Preprint
Full-text available
Background Pandemic management includes a variety of control measures, such as social distancing, testing/quarantining and vaccination applied to a population where the virus is circulating. The COVID 19 (SARS-CoV-2) pandemic is mitigated by several non-pharmaceutical interventions, but it is hard to predict which of these regulations are the most...
Article
Full-text available
In this paper, we study the so-called minimum income condition order, which is used in some day-ahead electricity power exchanges to represent the production-related costs of generating units. This order belongs to the family of complex orders, which introduce non-convexities in the market clearing problem. We demonstrate via simple numerical examp...
Preprint
Full-text available
In this paper we study the so-called minimum income condition order, which is used in some day-ahead electricity power exchanges to represent the production-related costs of generating units. This order belongs to the family of complex orders, which imply non-convexities in the market clearing problem. We demonstrate via simple numerical examples t...
Preprint
Full-text available
In day-ahead electricity markets large numbers of supply and demand bids are submitted, the acceptance or rejection of which must be decided subject to various restrictions. These restrictions, often originating from technological considerations and implying integer type variables, can make the computations of the underlying optimization problem ti...
Preprint
Full-text available
Computational models corresponding to supply security in natural gas networks aim to describe flows and consumption values in the case of component failures or unforseen pipeline shutdowns. The role of natural gas reservoires in this process has only been marginally analyzed in such models, and typically only on the level of countries. In this pape...
Article
Full-text available
We investigate the impact and the possible consequences of the construction of the Nord Stream 2 pipeline. We model the European gas network as a cooperative game between regions as players over the pipeline network. Our model offers several novelties compared to earlier cooperative studies. Firstly, we focus on cost saving rather than on the profi...
Preprint
In this article we propose a multi-zonal integrated energy-reserve market model. We assume that bidders may submit their demand and supply bids on the one hand in the form of conventional hourly step bids and block bids, which are cleared and paid according to market clearing prices (MCPs). On the other hand, suppliers may submit so called flexible...
Preprint
In this paper we propose a mechanism for the allocation of pipeline capacities, assuming that the participants bidding for capacities do have subjective evaluation of various network routes. The proposed mechanism is based on the concept of bidding for route-quantity pairs. Each participant defines a limited number of routes and places multiple bid...
Article
Full-text available
In this paper we propose a possible alternative for conventional pay-as-clear type multiunit auctions commonly used for the clearing of day-ahead power exchanges, and analyse some of its characteristic features in comparison with conventional clearing. In the proposed framework, instead of the concept of the uniform market clearing price, we introd...
Article
Anti-angiogenic drugs are relatively new tools in cancer therapy with very low side-effects compared to earlier approaches. These drugs inhibit the formation of new blood vessels in the tumor, thus cutting its cells from nutrient supply. As proliferating tumor cells have very intensive metabolism, the lack of nutrients provides a significant barrie...
Article
Full-text available
One reason for the allocation of reserves in electricity markets is the uncertainty of demand and supply. If the bias of the generation portfolio shifts from controllable generators to renewable sources with significantly higher uncertainty, it is natural to assume that more reserve has to be allocated. The price of reserve allocation in European m...
Article
Existing cooperative game theoretic studies of bargaining power in gas pipeline systems are based on the so called characteristic function form (CFF). This approach is potentially misleading if some pipelines fall under regulated third party access (TPA). TPA, which is by now the norm in the EU, obliges the owner of a pipeline to transport gas for...
Article
Full-text available
We formulate a dynamic model of vascular tumor growth, in which the interdependence of vascular dynamics with tumor volume is considered. The model describes the angiogenic switch; thus the inhibition of the vascularization process by antiangiogenic drugs may be taken into account explicitly. We validate the model against volume measurement data or...
Article
Full-text available
We propose a discrete time probabilistic model of depositor behavior which takes into account the information flow among depositors. In each time period each depositors’ current state is determined in a stochastic way, based on their previous state, the state of other connected depositors, and the strategy of the bank. The bank offers payment to im...
Article
Full-text available
The users of electricity networks are organized into groups where the production and consumption of electricity is in balance. We study the formation of these balancing groups using a cooperative game in partition function form defined over an ideal (lossless) DC load flow model of the power grid. We show that such games contain widespread external...
Article
We introduce a simple nonlinear dynamic tumor growth model which distinguishes between a core and a peripherial compartment, and accounts for nutrient and congestion-dependent cell proliferation, necrosis and volume growth. The model synthesis procedure considers that later the model shall be extended with mechanisms describing angiogenesis and wil...
Article
Full-text available
In this paper we consider a wireless contextualization of the local routing protocol on scale-free networks embedded in a plane and analyze on the one hand how cooperation affects network efficiency, and on the other hand the stability of cooperation structures. Cooperation is interpreted on k-cliques as local exchange of topological information be...
Article
In this paper we present a novel algorithm for computing all possible reaction graph structures representing linearly conjugate realizations of a polynomial kinetic system assuming a fixed set of complexes. The computation is based on the repeated application of linear programming steps. The correctness of the method is formally proved. The approac...
Article
Full-text available
A cooperative game-theoretic framework is introduced to study the behavior of cooperating and competing electrical-energy providers in the wholesale market considering price-preference rational consumers. We study the physical and economic aspects of the power transmission system operation focussing on the incentives for group formation. We analyze...
Conference Paper
We analyze an optimal power flow problem in the case of a scenario where the generators, even assuming continuous operation, do have non-monotone marginal production cost profile. We decompose the operating range of generators into intervals corresponding to operation modes. We show that if in each such interval the production characteristics is ap...
Technical Report
We propose a discrete time probabilistic model of depositor behavior which takes into account the information flow among depositors. In each time period each depositors’ current state is determined in a stochastic way, based on its previous state, the state of other connected depositors and the strategy of the bank. The bank offers payment to impat...
Article
Assuming wireless communication in scale-free networks, the local routing model can be extended with a novel approach which takes spatial information into account as well. The properties of the proposed model are analyzed in this paper also when the nodes of the network are moving along straight lines in the unit square. Furthermore, we analyze how...
Conference Paper
Assuming wireless communication in scale-free networks, the local routing model can be extended with a novel approach which takes spatial information into account as well. The properties of the proposed model are analyzed in this paper also when the nodes of the network are moving along straight lines in the unit square. Furthermore, we analyze how...
Article
GnRH neurons are key elements of the reproductive neuroendocrine system and play important central regulating role in the dynamics of the hormonal cycle. A conductance-based Hodgkin-Huxley model structure is proposed in this paper in the form of nonlinear ordinary differential equations that is able to take into account up-to-date biological litera...
Article
Optimal power flow (OPF) problems are focussing on the question how a power transmission network can be operated in the most economic way. The general aim in such scenarios is to optimize generator scheduling in order to meet consumption requirements, transmission constraints and to minimize the overall generation cost and transmission losses. We u...
Conference Paper
Using the results related to dynamically equivalent realizations of reaction kinetic systems, we analyze the dynamical properties of mass action reaction networks on which the well known structure based theorems of reaction kinetics are not directly applicable with respect to given range of certain rate coefficients. We introduce a transformation m...
Conference Paper
We introduce a simple approach to account for the ATP consumption and production in the case of mass action models of metabolic pathways including protein turnover. Under some simplifying assumptions, the method makes it possible to characterize the optimal rate of enzyme synthesis if the substrate concentrations and other rate constants are known....
Article
Full-text available
The purpose of this paper is to introduce a novel family of transferable utility games related to congested networks. We assume that players are traffic coordinators, who explicitly route their deliveries in the network. The costs of the players are determined by the total latency of the deliveries, which in turn can be calculated by the edge laten...
Article
The users of electricity networks are organized into groups where the production and consumption of electricity is in balance. This paper studies the formation of these balancing groups using a cooperative game in partition function form defined over an ideal (lossless) DC load flow model of the power grid. The study shows that such games contain w...
Article
Full-text available
We introduce a new solution concept to problems with externalities, which is the first in the literature to take into account economic, regulatory and physical stability aspects of network problems in the very same model. A new class of cooperative games is defined where the worth of a coalition depends on the behavior of other players and on the s...
Article
In this paper it is shown that deficiency zero mass action reaction networks containing one terminal linkage class are parametrically and therefore structurally unique with a fixed complex set. Clearly, weakly reversible deficiency zero networks with one linkage class belong to this class. However, it is shown through an illustrative example that d...
Conference Paper
In this paper we propose a novel colored Petri net modelling approach for model structure validation of cell signaling pathways. The aim is to distinguish between models of different structures based on typically qualitative, roughly detailed measurement data. In this approach, tokens are present all the time at all of the places, and their color c...
Article
Identifiability analysis of a single Hodgkin–Huxley (HH) type voltage dependent ion channel model under voltage clamp circumstances is performed in order to decide if one can uniquely determine the model parameters from measured data in this simple case. It is shown that the two steady-state parameters (m∞m∞, h∞h∞) and the conductance (g) are not g...
Article
In this paper a modular model of the GnRH neuron is presented. For the aim of simplicity, the currents corresponding to fast time scales and action potential generation are described by an impulsive system, while the slower currents and calcium dynamics are described by usual ordinary differential equations (ODEs). The model is able to reproduce th...
Article
In this paper, an integrative dynamical model of GnRH electrophysiology is used to study the calcium related interactions corresponding to bursting behavior. Various mechanisms affecting calcium dynamics are blocked or modified, and simulation results are compared to literature data to verify the model.
Article
In this paper, we analyze the identifiability properties of a Hodgkin-Huxley (HH) type voltage dependent ion channel model under voltage clamp circumstances. The elimination of the differential variables is performed, and the identifiability of various parameters is analyzed using the differential algebra approach and the algorithm based on the Tay...
Chapter
Full-text available
The solution to the problem of finding the reaction kinetic realization of a given system obeying the mass action law containing the minimal/maximal number of reactions and complexes is shown in this paper. The proposed methods are based on Mixed Integer Linear Programming where the mass action kinetics is encoded into the linear constraints. Altho...
Article
In this paper a simple one compartment Hodgkin-Huxley type electrophysiological model of GnRH neurons is presented, that is able to reasonably reproduce the most important qualitative features of the firing pattern, such as baseline potential, depolarization amplitudes, sub-baseline hyperpolarization phenomenon and average firing frequency in respo...
Article
In this paper, we analyze the identifiability properties of a Hodgkin-Huxley (HH) type voltage dependent ion channel model under voltage clamp circumstances. The elimination of the differential variables is performed, and the identifiability of various parameters is analyzed using the differential algebra approach and the algorithm based on the Tay...
Article
GnRH neurons, as key elements of the reproductive neuroendocrine system, have important central regulating role in the dynamics of the hormonal cycle. A Hodgkin-Huxley type neural model is proposed in this paper, that takes into account up-to-date biological literature data related to ion channels. The proposed neuron model is highly nonlinear in p...
Conference Paper
GnRH neurons, as key elements of the reproductive neuroendocrine system, have important central regulating role in the dynamics of the hormonal cycle. A Hodgkin-Huxley type neural model is proposed in this paper, that takes into account up-to-date biological literature data related to ion channels. The proposed neuron model is highly nonlinear in p...
Article
The pulsatile hormone secretion and the corresponding electrical activity are intrinsic dynamical properties of the GnRH pulse generator and they are subject to continual influence during the cycle due to changing levels of ovarian hormones. GnRH neurons, as key elements of the structure, play essential regulating role in the dynamics of the neuroe...
Article
In this paper the qualitative dynamic behavior of reaction kinetic models of G protein signaling is examined. A simplified basic G protein signaling structure is defined, which is extended to be able to take the effect of slow transmission, RGS mediated feedback regulation and ERK-phosphatase mediated feedback regulation into account. The resulting...
Article
Full-text available
GnRH neurons are key elements of the reproduc-tive neuroendocrine system and play important central regulat-ing role in the dynamics of the hormonal cycle. A conductance-based Hodgkin-Huxley model structure is proposed in the form of nonlinear ordinary differential equations that is able to take into account upto-date biological literature data rel...
Article
The stabilizing control of an elbow-like nonlinear limb model is described in this paper. The control design method is based on linearization and backstepping using the special cascade structure of the system. Using the proposed control structure, a regulation and a trajectory tracking problem are solved with known control Lyapunov function. It is...
Article
Full-text available
This paper describes the extension of the variable lumping transformation, being a well-known engineering-type model simplification method, to a special class of nonlinear reaction kinetic systems, to the cascade activation reactions. Two methods of cascade lumping is investigated: (i) variable lumping with changing the stoichiometric coefficients,...
Article
Full-text available
A simulator for multi-scale musculoskeletal models is presented that realizes a multi-scale model of the musculoskeletal system. Each level of the multi-scale model corresponds to a characteristic anatomical parts of the real system. The simulator integrates coherently the dif-ferent types of partial models with different time and size-scales and c...
Article
Full-text available
In this paper we propose a novel colored timed Petri net modelling approach for model structure validation of cell signaling pathways. The aim is to distinguish between models of different structures based on typically qualitative, roughly detailed measurement data. In this approach, tokens are present all the time at all of the places, and their c...

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Projects (3)
Project
We study the European gas pipeline network using a cooperative game theoretic approach trying to estimate the expected marginal contributions to saving wrt a gas-free economy.