Faculty of Engineering
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Angstrom thick ZnO passivation layer to improve the photoelectrochemical water splitting performance of a TiO 2 nanowire photoanode: The role of deposition temperature
(Nature Publishing Group, 2018)In this paper, we demonstrate that angstrom thick single atomic layer deposited (ALD) ZnO passivation can signifcantly improve the photoelectrochemical (PEC) activity of hydrothermally grown TiO2 NWs. It is found that this ... -
Eigenmode analysis of the scattering matrix for the design of MRI transmit array coils
(International Society for Magnetic Resonance in Medicine, 2021)To obtain efficient operation modes of transmit array (TxArray) coils using a general design technique based on the eigenmode analysis of the scattering matrix. Methods We introduce the concept of modal reflected power ... -
Partial FOV Center Imaging (PCI): a robust X-space image reconstruction for magnetic particle imaging
(IEEE, 2020)Magnetic Particle Imaging (MPI) is an emerging medical imaging modality that images the spatial distribution of superparamagnetic iron oxide (SPIO) nanoparticles using their nonlinear response to applied magnetic fields. ... -
Zero-sum Markov games with impulse controls
(Society for Industrial and Applied Mathematics, 2020)In this paper we consider a zero-sum Markov stopping game on a general state space with impulse strategies and infinite time horizon discounted payoff where the state dynamics is a weak Feller--Markov process. One of the ... -
Power-efficient positioning for visible light systems via chance constrained optimization
(IEEE, 2020)The problem of minimizing total power consumption in light-emitting diode transmitters is investigated for achieving power efficient localization in a visible light communication and positioning system. A robust power ... -
Performance assessment of commercial heat pipes with sintered and grooved wicks under natural convection
(TIBTD, 2019)Heat pipes are widely used in thermal management of high heat flux devices due to their ability of removing high heat loads with small temperature differences. While the thermal conductivity of standard metal coolers is ... -
Discovering competing endogenous RNA interactions in breast cancer molecular subtypes
(Springer, 2018)Background: Long non-coding RNAs (lncRNAs) can indirectly regulate mRNAs expression levels by sequestering microRNAs (miRNAs), and act as competing endogenous RNAs (ceRNAs) or as sponges. Previous studies identified ... -
Comments on the 'polynomial formulation and heuristic-based approach for the k-travelling repairman problem'
(Inderscience Enterprises Ltd., 2019)The paper 'polynomial formulation and heuristic-based approach for the k-travelling repairman problem' claims to present the first polynomial formulation for the k-travelling repairman problem (k-TRP). We first make some ... -
Augmentation of virtual agents in real crowd videos
(Springer, 2019)Augmenting virtual agents in real crowd videos is an important task for different applications from simulations of social environments to modeling abnormalities in crowd behavior. We propose a framework for this task, ... -
High-performance adaptive pressure control in the presence of time delays: Adaptive pressure control for use in variable-thrust rocket development
(IEEE, 2018)The precise control of gas generator pressure is important to obtain variable thrust in ducted rockets. A delay resistant closed loop reference model adaptive control is proposed in this paper to address this problem. The ... -
Active Nanophotonics
(IEEE, 2020)Being able to manipulate and control light flows at small scales holds the promise to open groundbreaking opportunities for a variety of technologies. Consider, for instance, the challenges currently faced in the world of ... -
Multi-objective contextual multi-armed bandit with a dominant objective
(IEEE, 2018)We propose a new multi-objective contextual multiarmed bandit (MAB) problem with two objectives, where one of the objectives dominates the other objective. In the proposed problem, the learner obtains a random reward ... -
Minimax optimal algorithms for adversarial bandit problem with multiple plays
(IEEE, 2019)We investigate the adversarial bandit problem with multiple plays under semi-bandit feedback. We introduce a highly efficient algorithm that asymptotically achieves the performance of the best switching m-arm strategy with ... -
Modeling economic activities and random catastrophic failures of financial networks via gibbs random fields
(Springer, 2020)The complicated economic behavior of entities in a population can be modeled as a Gibbs random field (GRF). Even with simple GRF models, which restrict direct statistical interactions with a small number of neighbors of ... -
Modeling of spatio-temporal hawkes processes with randomized kernels
(IEEE, 2020)We investigate spatio-temporal event analysis using point processes. Inferring the dynamics of event sequences spatio-temporally has many practical applications including crime prediction, social media analysis, and traffic ... -
New-product diffusion in closed-loop supply chains
(INFORMS, 2020)Problem definition: We study the sales planning problem of a producer who sells new and remanufactured versions of a durable good over a finite life cycle. We investigate whether slowing down product diffusion by choosing ... -
Nonradiative energy transfer between doped and undoped flat semiconductor nanocrystals of colloidal Quasi-2D nanoplatelets
(American Chemical Society, 2019)Atomically flat colloidal semiconductors such as nanoplatelets (NPLs) promise great potential for different optoelectronic applications. Here, we systematically investigate the excitonic energy transfer from colloidal ... -
Novel techniques in instrumentation, image reconstruction, and applications in magnetic particle imaging
(Infinite Science Publishing, 2018)The second issue of the fourth volume of the International Journal on Magnetic Particle Imaging (IJMPI) presents4 papers, comprising a variety of topics in magnetic particle imaging (MPI) including instrumentation, ... -
Online anomaly detection with bandwidth optimized hierarchical kernel density estimators
(IEEE, 2020)We propose a novel unsupervised anomaly detection algorithm that can work for sequential data from any complex distribution in a truly online framework with mathematically proven strong performance guarantees. First, a ... -
Less is more: a comprehensive framework for the number of components of ensemble classifiers
(IEEE, 2019)The number of component classifiers chosen for an ensemble greatly impacts the prediction ability. In this paper, we use a geometric framework for a priori determining the ensemble size, which is applicable to most of the ...