Channel - EEMCS
6/2/2022 5:58:52 PM
Channel Videos
Agent-based Modeling of Culture's Consequences for Trade
Cultural differences are known to have their effects on trade. The subject of this thesis is a computer simulation of the role of trust and deceit in trade across cultures. In the computer simulation the traders’ rolls are realized by software agents. Such an agent is a computer program which simulates the behavior of a human being. In a multi-agent simulation a group of software agents is acting and interacting simultaneously. Important functions of agents in the present simulation are to approach new potential trade partners, to negotiate about a transaction and to exchange proposals, and, when the negotiation has ended successfully, to exchange products, and to decide and request a trace to be performed. The agents’ decision mechanisms are implemented according to models and data available from scientific literature. To model the influence of culture on the decision making, an expert systems approach is taken, using the Synthetic Cultures according to Hofstede en Pedersen. The approach has proved feasible to develop a valid model of cultural differentiation in software agents. This is relevant for the development of instruments for cross-cultural research, educational and training applications to make people aware of cultural differences, and affective human-computer interfaces in a globalizing world.
D. Verwaart
6/8/2011 12:30:00 PM
Bayesian Computation for Stochastic Partial Differential Equations
T. Pieper-Sethmacher
5/11/2026 10:25:00 AM
Bayesian Model-Free Deep Reinforcement Learning
P.R. van der Vaart
5/22/2026 7:55:00 AM
Characterizing Learning Difficulty in Graph-Structured Data: An Empirical Study of Models and Data
T. Zhao
5/12/2026 7:55:00 AM
CMOS Integrated Circuits and Systems for High-Density Microelectrode Array Readout: Multichannel Biopotential Acquisition and Impedance Spectroscopy
R. Guan
3/2/2026 11:25:00 AM
Compositional Generative Models: for Generalizable Scene Generation and Understanding
Y. Wang
5/21/2026 7:55:00 AM
Correct Translation between Weak Memory Model Architectures
D.G. Sprokholt
12/12/2025 8:25:00 AM
Counterfactual Explanations and Algorithmic Recourse for Trustworthy AI
P. Altmeyer
2/25/2026 4:25:00 PM
Democratizing Scalable Cloud Applications: Transactional Stateful Functions on Streaming Dataflows
K. Psarakis
1/14/2026 4:25:00 PM
Design, Prototyping and Characterization of a CMUT-on-ASIC Probe for High-Volume-Rate 3-D Abdominal UltrasoundImaging
N.N.M. Rozsa
12/9/2025 10:55:00 AM
Designing Accessible Hardware for Electrical Neuromodulation Applications To Enhance Stimulation Safety, Selectivity and Power Efficiency
K. Kolovou Kouri
2/25/2026 1:55:00 PM
Detecting Vulnerabilities of Heterogeneous Federated Learning Systems
J. Huang
3/13/2026 8:55:00 AM
Digital Transmitters: A Signal Processing Perspective
D.P.N. Mul
5/8/2026 10:25:00 AM
Dual Active Bridge Converters for Electrolyzers - An application oriented perspective
R.S. Deshmukh
2/2/2026 8:55:00 AM
Dynamc Positioning of Ships. A nonlinear control design study
Dynamic positioning (DP) is relatively a new technique used to maintain the position and heading of ships in various offshore operations. Due to the features like better safety and operating efficiency, DP systems are becoming more and more popular. This thesis mainly focusses on the control system design part of the DP system. The theoretical study is based on a naive mathematical model of a ship and the forces and disturbances acting on it. The design objective is the regulation of a vessel to a desired operating point. Two main concepts for the DP control system design presented in this thesis are: the control system design based on the state dependent Riccati equation and the control system design using the port-Hamiltonian framework.
S. Muhammad
4/23/2012 10:00:00 AM
Dynamics of patterns subject to noise
J. van Winden
3/27/2026 11:25:00 AM
Efficient Uncertainty Quantification in Deep Reinforcement Learning
M.A. Zanger
5/11/2026 7:55:00 AM
Fourier Multiplier Methods in the Study of Growth and Decay of Semigroups
C. Deng
12/1/2025 8:25:00 AM
Fractional stochastic partial differential equations in space and time
J. Willems
12/15/2025 10:55:00 AM
Grid Impact & Power Control of Low-Carbon Technologies in Future Distribution Grids: converting the problem to its solution
N. Damianakis
2/19/2026 4:25:00 PM
Hardware Acceleration of Bioinformatics Sequence Allignment Applications
Biological sequence alignment is an important and challenging task in bioinformatics. Alignment may be defined as an arrangement of two or more DNA or protein sequences to highlight the regions of their similarity. Sequence alignment is used to infer the evolutionary relationship between a set of protein or DNA sequences. An accurate alignment can provide valuable information for experimentation on the newly found sequences. It is indispensable in basic research as well as in practical applications such as pharmaceutical development, drug discovery, disease prevention and criminal forensics.
Many algorithms and methods, such as, dot plot, Needleman-Wunsch, Smith-Waterman, FASTA, BLAST, HMMER and ClustalW have been proposed to perform and accelerate sequence alignment activities. However, with the ever increasing volume of data in bioinformatics databases, the time needed for biological sequence alignment is always increasing. The main aim of the research presented in this thesis is to explore and analyze the existing sequence alignment methods and come up with better and optimized solutions.
L. Hasan
6/6/2011 10:00:00 AM
High Speed readout architecture for CMOS image sensor
J. Lee
1/8/2026 1:55:00 PM
High-Power digital Transmitters for Wireless Networks
R.J. Bootsman
12/18/2025 3:55:00 PM
Human-Agent Alignment Dialogues: Eliciting User Information at Runtime for Personalized Behavior Support
P.Y. Chen
3/9/2026 8:55:00 AM
Human-Centric Quality Assessment and Visual Attention Modeling for Point Clouds
X. Zhou
3/4/2026 8:55:00 AM
Improving Remote Cardiovascular Care with Wearable Data: Algorithms, Study Design, and Subject-Specific Adaptation
A. Naseri Jahfari
1/13/2026 8:55:00 AM
Integrated Interface Circuits for Wireless Power Transfer
T. Lu
5/21/2026 12:55:00 PM
Learning-based Distributed Resource Flexibility Estimation For Enhanced TSO-DSO Coordination
D. Chrysostomou
2/27/2026 8:55:00 AM
Light management in thin-film silicon solar cells
O. Isabella
1/28/2013 8:30:00 AM
Mathematical modelling of turbulent combustion and conjugate heat transfer in rotary kilns
M. El Abbassi
2/3/2026 8:55:00 AM
Mobility and Resource Management in O-RAN with Online Meta-Learning
M. Kalntis
3/19/2026 8:55:00 AM
Model-Based Processing in Ultrasound Imaging: Sparse Reconstruction and Coded Excitation
D. Doğan
12/3/2025 3:55:00 PM
Modeling and TCOs Engineering for Thin-Film Photovoltaic Technologies
F. Saitta
5/29/2026 10:25:00 AM
Monitoring and maintaining machine learning models against concept drift in the context of aiops systems
L. Poenaru-Olaru
1/21/2026 4:25:00 PM
Nonlinear Fractional Boundary Value Problems: Existence Results and Approximation of Solutions
D.H. Pantova
12/10/2025 8:25:00 AM
Novel Calibration Approaches and Large Signal Measurement Techniques for Sub-THz Devices Characterization
C. De Martino
1/26/2026 11:25:00 AM
Performance analysis of near-term quantum networks
B.J. Davies
1/19/2026 11:25:00 AM
Quantum sensing and fabrication of color centers in diamond: Toward a quantum biosensor based on CMOS-integrated NV centers
I. Varveris
1/28/2026 8:55:00 AM
Quasiparticle dynamics in disordered superconductors
S.A.H. de Rooij
2/23/2026 3:55:00 PM
Rendering Large-Scale Environments Efficiently
M.L. Molenaar
12/18/2025 10:55:00 AM
Reusable Programming Language Components
C.R. van der Rest
4/21/2026 3:25:00 PM
Solid-State Transformers for Large-Scale H2 Electrolyzers
Z. Li
2/19/2026 11:25:00 AM
Stereological estimation for particle processes and random tessellations
T.F.W. van der Jagt
3/3/2026 11:25:00 AM
The Quantum Lattice Boltzmann Method: Towards quantum methods for computational fluid dynamics
M.A. Schalkers
2/3/2026 1:55:00 PM
The Right to Be Forgotten: Reinforcing Digital Data Forgetting in Cloud Storage
M. Darwish Khabbaz
12/4/2025 10:55:00 AM
Time Deep Gradient Flow Method for Option Pricing
J.G. Rou
1/13/2026 1:55:00 PM
Towards predicting memory in multimodal group interactions
M. Tsfasman
2/23/2026 8:55:00 AM
Visual Analytics for High-Dimensional Images via Dimensionality Reduction
A. Vieth
1/12/2026 4:25:00 PM
Wireless Power and Bidirectional Data Transfer for Modern Closed-Loop Neural Implants
Y. Ouyang
1/22/2026 8:55:00 AM
World Models: Foundations, Applications, and Limitations
C. Meo
2/6/2026 8:55:00 AM
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