Stefan Wolfgang Pickl

Stefan Wolfgang Pickl
Universität der Bundeswehr München ·  Institut für Mathematik und Informatik

About

303
Publications
26,541
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1,784
Citations
Citations since 2017
87 Research Items
708 Citations
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2017201820192020202120222023020406080100120140
2017201820192020202120222023020406080100120140

Publications

Publications (303)
Chapter
This paper studies and compares various optimization approaches ranging from classical optimization to machine learning to respond swiftly and optimally in casualty incidents. Key points of interest in the comparison are the solution quality and the speed of finding it. In multiple-casualty scenarios knowing both is essential to choosing the correc...
Article
Full-text available
In the event of a disaster, the road network is often compromised in terms of its capacity and usability conditions. This is a challenge for humanitarian operations in the context of delivering critical medical supplies. To optimise vehicle routing for such a problem, a Multi-Depot Dynamic Vehicle-Routing Problem with Stochastic Road Capacity (MDDV...
Article
Die Themen Warnung und Alarmierung der Bevölkerung hatten in den vergangenen Jahrzehnten keinen hohen Stellenwert in Deutschland. Erst durch den erstmals wieder durchgeführten, bundesweiten Warntag im September 2020, bei dem die Alarmierung allerdings nicht wie geplant funktioniert hat bzw. durchgeführt werden konnte, erhielt das Thema wieder mehr...
Article
Full-text available
This paper deals with a novel application of the advanced optimal control techniques to a Counter-Terrorism optimal decision-making problem. The recently developed model of the Counter-Terrorism security policies (see [9]) naturally incorporates a competing interest group dynamics. The optimal dynamics can be found in this case by considering a spe...
Article
The problem of the existence and determining equilibria in pure stationary strategies for a two-player zero-sum average stochastic positional game is considered. We show that for such a game there exists the value and players may achieve the value by applying pure stationary strategies of choosing the actions in their positions. Based on a construc...
Article
Full-text available
The German Committee for Disaster Reduction (DKKV) is the largest platform for disaster risk reduction in Germany and has been promoting prevention and disaster risk reduction in science, practice, and politics since the beginning of the International Decade for Natural Disaster Reduction in 1990. The overarching leitmotif of the DKKV is the streng...
Chapter
The paper surveys the current state-of-the-art at promising US companies dedicated to drug discovery using computational methods. Computational fluid dynamics and molecular dynamics are only two methods that can be adapted to drug discovery using computational methods. Drug discovery is promising with the improvements in computer power and algorith...
Chapter
The objective of this paper is to develop a Machine learning model that can classify cancer patients. Gene mutation-based treatment has a very good success ratio, but only a few cancer institutes follow it. This research uses natural language processing techniques to remove unwanted text and convert the categorical data into numerical data using re...
Chapter
The objective of this paper is to describe the front-end and the backend of an open-source web-application that can be integrated in any website and for which the storage of single sign-on (SSO) authentication is provided in an Ethereum network. The backend of this application is shared with a browser-based platform or Android platform. Ethereum ne...
Chapter
Quora is an online platform that empowers people to learn from each other. On Quora, users can post questions and connect with others who contribute unique insights and quality answers. But as with any other social media or online platform, there is the potential for misuse. A key challenge in maintaining the integrity of such an online platform is...
Chapter
In this paper we present a Stock Backtesting Engine which would test historical data using pairs trading strategy. We implemented pairs trading strategy and ran it on historical data. We collect the S&P 500 data from the Internet and store it in a database. We then allow users to enter a set of stocks to find cointegrated pairs among them. We also...
Chapter
Identifying genetic mutations that contribute to cancer tumors is the key to diagnosing cancer and finding specific gene mutation-based treatment. It is a very challenging problem and a time-consuming job. Currently, clinical pathologists classify cancer manually, and they need to analyze and organize every single genetic mutation in cancer tumors...
Article
Full-text available
The dataset for Multi Depot Dynamic Vehicle Routing Problem with Stochastic Road Capacity (MDDVRPSRC) is presented in this paper. The data consist of 10 independent designs of evolving road networks ranging from 14-49 nodes. Together with the road networks are the Damage file (DF) for each corresponding road network. The DF simulates the damage lev...
Conference Paper
Searching for an optimal casualty processing schedule can be considered a key element in the MCI response phase. Genetic algorithm (GA) has been widely applied for solving this problem. In this paper, it is proposed a GA-based optimization model for addressing the casualty processing scheduling problem (CPSP). It aims to develop a GA-based optimiza...
Conference Paper
Full-text available
The present paper discusses key aspects of managerial human factors in research, specifically when implementing decision support systems in the context of Humanitarian Logistics. It is framed as a follow-up of an Operations Research-based project developing a decision support framework for relief distribution in the event of a catastrophic blackout...
Conference Paper
Full-text available
This paper deals with a novel theoretic approach to the robust state estimations in discrete-time dynamic systems with the non-Gaussian correlated stochastic noises. The methodology we develop is based on the so-called "worst case" robust Kalman Filter (KF) approach proposed in [2,3]. We are interested in the robust state estimation for the control...
Article
Full-text available
The Shared Mobility Problems (SMP) with the rideshare concept based on sharing a vehicle are fast becoming a trend in many urban cities around the world. Examples of these problems are like ridesharing, carpooling, taxisharing, buspooling, vanpooling, and multi-modal ridesharing. This is the new way to access transportation services by those who ar...
Article
Smart manufacturing is a popular concept for smarter decision-making and more efficient production. Although distributed methods for data management and processing in smart manufacturing have many advantages such as low cost of adaptation and convenience for local database, some methods are hard to manage variable data sources and discover proper r...
Conference Paper
In the last decade, over two billion people have become victims of mass casualty incidents (MCIs). The success of the emergency response to such events depends heavily on efficient emergency vehicle transportation. During a MCI, the status of transportation pathways is constantly fluctuating, making it difficult to evaluate real-time traffic delays...
Chapter
The topic of this contribution is characterization and analysis of assistance systems in order to enable adaptivity, i.e., as personalized adaptive systems. The research question of this article is how to facilitate the modeling efforts in adaptive e-learning assistance systems. Adaptivity here means to personalize the usage experience to the indiv...
Article
Full-text available
A matheuristic approach based on a reduced two-stage Stochastic Integer Linear Programming (SILP) model is presented. The proposed approach is suitable for obtaining a policy constructed dynamically on the go during the rollout algorithm. The rollout algorithm is part of the Approximate Dynamic Programming (ADP) lookahead solution approach for a Ma...
Article
Full-text available
This paper extends a newly developed computational optimization approach to a specific class of Maximal Covering Location Problems (MCLPs) with a switched dynamic structure. Most of the results obtained for the conventional MCLP address the “static” case where an optimal decision is determined on a fixed time-period. In our contribution we consider...
Conference Paper
A huge amount of data about adverse drug reactions are in medical cases, and that is a major challenge for experts to generate reports and analyze it. Time and money are wasted in finding efficient strategies for identifying and extracting this type of information. Our paper focuses on solving problems in report generation of free text cases and re...
Conference Paper
The Web is one of the most powerful platforms in recent years, a large number of applications are built over the platform using API's provided in HTML5 and various other web technologies. WebRTC (Real-Time Communication) standard allows supporting browsers to stream video and audio content directly from native devices such as webcam, enabling gestu...
Article
Full-text available
The growing field of humanitarian operations is driven by frequent events of disasters seen in the world today. Within this field, Operations Research (OR) plays a critical role in alleviating the suffering of victims that are impacted by disasters. This paper focuses on the branch of a well-known OR problem, known as the Vehicle Routing Problem (V...
Chapter
Based on cyber-physical components, automated production, and the huge amount of data available (e.g., historical data), Industry 4.0 requires some form of technical approach for its interaction with the components. A technical framework which runs permanently in the background is therefore necessary, and mathematics with its tools makes this possi...
Chapter
From a system’s theoretical point of view, adaptive learning systems (ALS) for education and training contain in their core – in a simplified form – closed feedback control loops in which the control is determined by the measured users’ performance. Improving this performance can increase the learning outcome, especially for critical disciplines su...
Article
In this paper we consider the problem of the existence and determining stationary Nash equilibria for switching controller stochastic games with discounted and average payoffs. The set of states and the set of actions in the considered games are assumed to be finite. For a switching controller stochastic game with discounted payoffs we show that al...
Article
This paper deals with a novel theoretic approach to the robust state estimations in discrete-time dynamic systems with the non-Gaussian correlated stochastic noises. The methodology we develop is based on the so-called "worst case" robust Kalman Filter (KF) approach proposed in [2,3]. We are interested in the robust state estimation for the control...
Chapter
In this paper the problem of the existence and determining stationary Nash equilibria in a single-controller average stochastic game is considered. The set of states and the set of actions in the game are assumed to be finite. We show that all stationary equilibria for such a game can be obtained from an auxiliary noncooperative static game in norm...
Conference Paper
Advances made in Artificial Intelligence over the last couple of years have revealed certain limitations to traditional Mass Casualty Management (MCM). This paper introduces a MCM response framework using state-of-the-art OR-based models of existing AI solutions aimed to optimize each stage (extrication, triage, and transportation) of the response...
Conference Paper
Disasters often result in mass casualty incidents, which trigger a series of complex decisions made at casualty collection points and advanced medical posts. The essential components in a disaster management chain are triage and casualty evacuation. Casualty evacuation without effective coordination may lead to overcrowding at hospitals and result...
Article
Climate change including the more frequent occurrence and increased intensity of extreme climate events are important drivers of disaster events. This causality is accompanied by the fact that long-term impacts of climate change are connected with a high-level of uncertainty: complex interactions, feedback loops and underlying nonlinear effects tha...
Chapter
Passenger routing in railway systems has traditionally relied on fixed timetables, working under the assumption that actual performance always matches the planned schedules. The complex variable interplay found in railway networks, however, make it practically impossible for trains to systematically hold the designed timetables as delays are a comm...
Conference Paper
This paper describes a new simulation-based optimization framework for developing and assessing relief distribution strategies following a disaster where citizen's relocation is necessary. This work has been conceptualized and is currently being developed with and for experts in the field of disaster and security management, in order to tackle the...
Chapter
The importance of communication networks increases with every new system and over the last 20 years these networks have become a critical infrastructure like the electricity network. Besides all cables and connections, the core of these networks are the information transfer systems with routers and switches. To guarantee the availability of these s...
Chapter
Given the importance of early warning in crisis prevention this paper discusses both knowledge-based and data-driven approaches. Traditional knowledge-based methods are often of limited suitability for use in crisis prevention and management, since they typically use a model which has been designed in advance. Novel data-driven Artificial Intellige...
Chapter
Im Zentrum dieses Beitrags stehen die Entwicklung und die Charakterisierung eines innovativen Management Cockpits, um komplexe ökonomische Probleme zu lösen. Die Managementsteuerung basiert auf dem sog. Technology-Emissions-Means-Process-Identification(TEMPI)-Framework, das bereits in Pickl 1998 als Konzept entwickelt wurde und das auf dem von Jürg...
Book
This book focuses on novel design and systems engineering approaches, including theories and best practices, for promoting a better integration of people and engineering systems. It covers a range of hot topics related to: development of human-centered systems; interface design and human-computer interaction; usability and user experience; emergent...
Article
We consider infinite n-person stochastic games with limiting average payoffs criteria for the players. The main results of the paper are concerned with the existence of stationary Nash equilibria and determining the optimal strategies of the players in the games with finite state and action spaces. We present conditions for the existence of station...
Article
Full-text available
This paper extends a newly developed computational optimization approach to a specific class of Maximal Covering Location Problems (MCLPs) with a switched dynamic structure. Most of the results obtained for the conventional MCLP address the "static" case where an optimal decision is determined on a fixed time-period. In our contribution we consider...
Conference Paper
Crises forecasting and management require different kinds of information (management) processes. In this publication, we give an introduction into Coalition Shared Data (CSD), which is a concept of standardized information distribution, and describe means for its integration into a more comprehensive high level system architecture. Our publication...
Chapter
Der folgende Beitrag versucht zentrale Aspekte eines holistisch geprägten Risikomanagements - wie es immer der inhärente Anspruch von Wolfgang Bonß ist - im Sinne einer verbindenden „Smart Analytics Resilience Architecture“ (SARA) zu entwickeln und inhaltlich zu beschreiben. Dabei sollen die folgenden Kriterien leitend für den Beitrag sein
Chapter
In this chapter, we present the success stories of three different programs for improving education at different stages in an extension of the classic forms of teaching. They are presented as solutions to combat some of the challenges faced by schools, colleges, and universities. One of the most stringent educational challenges is the rigid form of...
Chapter
This paper presents the etymology of the term resilience and examines the different approaches to it. In this context, a closer look is taken on the definitions and concepts of engineering resilience and ecological resilience.
Article
Analyzing the vulnerability of a network and identifying its critical spots is of great importance for today's decision makers. The in-depth knowledge about the underlying network and its efficiency is fundamental to adequate decision making. In this paper, the flow-weighted efficiency measure is introduced and exemplarily demonstrated on a physica...
Chapter
Nowadays we face the Information Age and nothing evolves more rapid than the evolution of Information Sciences (IS). Related to building networks between different Communities of Interests (COI) with the help of Information Systems, the major challenge is sharing information and giving information at the right place, in the right time, to the right...
Research
Full-text available
The ESPREssO Vision Paper is one of the key outcomes of the project. Its aim is to support the preparation of the Horizon Europe Framework Programme 2021-2030 by identifying some future research challenges in the field of natural hazards and disaster risk management, in relation to the priorities defined by the Sendai Framework for Disaster Risk Re...
Research
Full-text available
As a final product, the ESPREssO project has compiled a comprehensive set of guidelines, synthesizing the findings from the many, and diverse, activities of the consortium. The guidelines are based on best practices identified in the Action Data Base; on recommendations identified in literature as well as in our national reports; and on the many us...
Research
Full-text available
Dieser Bericht stellt den Beitrag des ESPREssO-Projekts „Enhancing Synergies for Disaster Prevention in the European Union“ zu einer neuen strategischen Vision für DRR und CCA in Europa und zur Förderung neuer Ideen für die Ausrichtung und Zielsetzung der Naturgefahrenforschung und Politik der nächsten zehn Jahre dar. Im Rahmen des Projekts wurden...
Research
Full-text available
Le document d’orientation ESPREssO vise à soutenir la préparation du Programme-cadre Horizon Europe en identifiant les futurs défis de la recherche dans le domaine des risques naturels et de la gestion des risques, en relation avec les priorités définies par le Cadre d'action de Sendai pour la réduction des risques de catastrophe et le plan d'actio...
Research
Full-text available
Ces recommandations combinées au document d’Orientation ESPREssO (délivrable D5.5 « ESPREssO Vision Paper ») forment les conclusions du projet ESPREssO - « Enhancing synergies for disaster prevention in the European Union » (Améliorer les synergies pour la prévention des catastrophes au sein de l‘Union européenne), une mesure de coordination et de...
Research
Full-text available
Diese Leitlinien stellen gemeinsam mit dem ESPREssO Visionspapier (Arbeitsergebnis D5.5 „ESPREssO Visionspapier“) das Endergebnis des ESPREssO-Projekts „Enhancing Synergies for Disaster Prevention in the European Union“ dar, einer Koordinations- und Unterstützungsmaßnahme, die im Rahmen des Programms H2020 von DG RESEARCH finanziert wurde. Das ESPr...
Conference Paper
Very often disasters result in mass casualty situations, which trigger a complexity of decisions to be made at collection points and advanced medical posts by local health services. The decision-making process becomes complicated because of significant bleeding into the peritoneal, pleural, or pericardial spaces may occur without visible warning si...
Chapter
In the stressful scenario of a terrorist threat that involves a radiological dispersion device, an effective search strategy must be prepared. This problem is highly complex, especially when multiple platforms are deployed. Besides the automated suggestions for an effective search strategy, a remote advice and assist cell can benefit from visual ai...
Conference Paper
The mini-track “Decision Support for Complex Networks” invited contributions in the area of complex decision support under multiple criteria and where a multitude of variables have to be considered under great uncertainty. Typically, such systems are used for crisis and risk management in diverse contexts, such as health care, homeland security, av...
Article
The German high-speed train system (ICE) as one of the critical infrastructures is mapped into a distance-weighted undirected network. The aim of the analysis is to make full use of quantitative graph theory in order to analyze the vulnerabilities of the network and to detect the centers and hubs of the system. When conducting network analysis of r...
Technical Report
Full-text available
This report is part of a larger synthesis to collect data across six EU countries and produce reports on the specific national approaches regarding policies, legislation and research frameworks addressing natural hazards and climate change adaptation within the framework of the European project “Enhancing Synergies for disaster PRevention in the Eu...
Article
In work the influence of various single environmental factors in the nonlinear model of Asthma. In the present work, is presented a visualized computer model that allows investigate the influence of groups of factors on the distribution of asthma by changing the model parameters in certain ranges. URL: www.science-sd.com/471-25353
Conference Paper
A class of discounted stochastic games is formulated and studied by applying the concept of positional games to Markov decision processes with expected total discounted reward criteria. Existence results of pure and mixed stationary Nash equilibria for the considered class of discounted stochastic positional games are presented and an approach for...
Article
Full-text available
Our paper discusses a novel computational approach to the extended Maximal Covering Location Problem (MCLP). We consider a fuzzy-type formulation of the generic MCLP and develop the necessary theoretical and numerical aspects of the proposed Separation Method (SM). A specific structure of the originally given MCLP makes it possible to reduce it to...
Chapter
The overall dynamics of an airport are multifaceted and very complex. With the ever increasing number of visitors everyday it is important to understand their behaviour. In this paper we present a new macroscopic system dynamics model of the overall workings of a generic airport. The model follows passengers through to the gates modeling various di...
Conference Paper
Critical Infrastructures such as public transport are essential for every modern society. This makes them even more attractive and vulnerable for terroristic attacks. Recent attacks all over the world demonstrate a strong need of intelligent solutions to detect attackers in an early stage in order to avoid harm to people and the system. Even though...
Article
Several studies have proposed different definitions of resilience during the past two decades. While reviews of part of the literature were published, a comparative analysis of the extant definitions is still lacking. This article critically analyzes the current definitions of resilience and show their limits and applicability domains especially in...
Conference Paper
We analyze the properties of a transportation network with time-dependent flows with the aim of finding the maximal component along the duration of a period of the variation of the flow. We apply this analysis method to the subway network of Munich. The analysis is detailed and results are included. Beyond the theoretical interest in this type of n...
Conference Paper
Full-text available
The analysis of military weapon or equipment acquisition is facing numerous challenges, such as rapidly changing and advancing technologies, several cost dimensions – including investment costs, maintenance or upgrading – as well as public interests. Due to the significant monetary investments required, a transparent and understandable acquisition...
Conference Paper
In this paper, the frequency of trains in the Munich subway network is analyzed. Using influence diagrams the stations and edges in the network that are most vulnerable to catastrophic attacks are determined. Upon obtaining the number of trains in each station at a certain moment in time, the most vulnerable stations will be automatically identifie...
Article
Full-text available
This paper presents a novel search-path optimization method for moving target search by an aerial vehicle, applicable to realistically sized search areas. For such missions, long endurance vehicles are needed, which are usually fixed-winged. The proposed method accounts for flight kinematics of fixed-wing and rotary-wing aerial vehicles. It additio...
Article
The decision takers of the public transportation system, as part of urban critical infrastructures, need to increase the system resilience. For doing so, we identified analysis tools for biological networks as an adequate basis for visual analytics in that domain. In the paper at hand we therefore translate such methods for transportation systems a...
Article
Various recent events in the Mediterranean sea have shown the enormous importance of maritime search-and-rescue missions. By reducing the time to find floating victims, the number of casualties can be reduced. A major improvement can be achieved by employing unmanned aerial systems for autonomous search missions. In this context, the need for effic...
Chapter
Densely populated areas are often associated with high pollution of the air. In order to decrease the air quality (health) index and thereby improve the quality of life, we aim to minimize air pollution of a transportation network especially in those highly air-polluted areas. Even though some transportation providers have invested to “green up” th...
Article
This paper deals with the Maximal Covering Location Problem (MCLP) for Supply Chain optimization in the presence of incomplete information. A specific linear-integer structure of a generic mathematical model for Resilient Supply Chain Management System (RSCMS) makes it possible to reduce the originally given MCLP to two auxiliary optimization Knaps...