Department of Electrical and Electronics Engineering
Recent Submissions
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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. ... -
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 ... -
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 ... -
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 ... -
Hypothesis testing under subjective priors and costs as a signaling game
(IEEE, 2019)Many communication, sensor network, and networked control problems involve agents (decision makers) which have either misaligned objective functions or subjective probabilistic models. In the context of such setups, we ... -
Ultra-broadband near-unity light absorption by disjunct scattering resonances of disordered nanounits created with atomic scale shadowing effect
(Springer, 2020)Metamaterial perfect absorbers have been the subject of many studies in recent years. Near-unity light harvesting in an ultra-broadband frequency range is the prime goal in many applications such as photoconversion systems. ... -
An all-dielectric metasurface coupled with two-dimensional semiconductors for thermally tunable ultra-narrowband light absorption
(Springer, 2020)Two-dimensional (2D) transition metal dichalcogenides (TMDCs) have attracted tremendous attention over the past decades. Due to their unique features such as high mobility and direct bandgap, they are suitable candidate ... -
Transient and first passage time distributions of first- and second-order Multi-Regime Markov Fluid Queues via ME-fication
(Springer, 2020)We propose a numerical method to obtain the transient and first passage time distributions of first- and second-order Multi-Regime Markov Fluid Queues (MRMFQ). The method relies on the observation that these transient ... -
Adaptive friction compensations for mechanical systems with measurement delay
(SAGE Publications, 2020)Application performance of mechanical positioning systems might not coincide with the theory, mainly due to nonlinearities or imperfections of system models. Although it is sometimes possible to ignore these mismatches, ... -
Fast system calibration with coded calibration scenes for magnetic particle imaging
(IEEE, 2019)Magnetic particle imaging (MPI) is a relatively new medical imaging modality, which detects the nonlinear response of magnetic nanoparticles (MNPs) that are exposed to external magnetic fields. The system matrix (SM) method ... -
Exploiting relevance for online decision-making in high-dimensions
(IEEE, 2020)Many sequential decision-making tasks require choosing at each decision step the right action out of the vast set of possibilities by extracting actionable intelligence from high-dimensional data streams. Most of the times, ... -
Feedback adaptive learning for medical and educational application recommendation
(IEEE, 2020)Recommending applications (apps) to improve health or educational outcomes requires long-term planning and adaptation based on the user feedback, as it is imperative to recommend the right app at the right time to improve ...
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