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Reinforcement Learning in Large and Structured Environments
In a reinforcement learning (RL) problem, a learner takes actions to control the state of
an initially unknown environment so as to maximize the sum of the rewards he obtains. This has several applications in many practical ...
Medium Index Contrast Guided Mode Resonant Structures for Photonic Applications in the Visible-Near Infrared Wavelength Regime
Guided mode resonant (GMR) structures are interesting from the point of view of enhanced light-matter interaction and find applications in sensing, filtering, and miniaturized photonic components. The Guided mode resonance ...
OTFS Modulation in MIMO Visible Light Communication Systems
Visible light communication (VLC) technology is emerging as an attractive technology for wireless communication in indoor and vehicular environments. In VLS systems, light emitting diodes (LED) and photo diodes (PD) ...
Hardware-based Device Identification for Systems with Commercially Off-the-shelf Components
The Identity of an electronic device is a fundamental property, that bootstraps several applications such as authentication and traceability. For the purpose of device identification, conventional methods generate a unique ...
Tailoring excitonic complexes in layered materials
Layered transition metal dichalcogenides (TMDCs) host a variety of strongly bound
exciton complexes that control the optical properties in these materials. Apart from
spin and valley, layer index provides an additional ...
Topics on Safety and Security of Power Systems
In this thesis, we investigate some of the problems concerning the safety and security of power systems. Since the operational safety of the power system itself is a vast area of research, we choose to investigate the ...
Deep Learning Methods For Audio EEG Analysis
The perception of speech and audio is one of the defining features of humans. Much of the brain’s underlying processes as we listen to acoustic signals are unknown, and significant research efforts are needed to unravel ...
Variational Bayes Algorithms for mmWave and Massive MIMO-OFDM Systems with Low Resolution ADCs
In this thesis, we develop novel low-complexity algorithms for massive multiple-input multiple-output (MIMO) systems under practical non-idealities and theoretically analyze their performance. The first problem we consider ...
Algorithms for Fair Clustering
Many decisions today are taken by various machine learning algorithms, hence it is crucial to
accommodate fairness in such algorithms to remove/reduce any kind of bias in the decision.
We incorporate fairness in the ...
Investigations on Polygonal Voltage Space Vector Structure generation with lower order harmonic suppression using switched capacitive filter throughout modulation range for Drive Applications
Multilevel inverters (MLI) are widely used in a host of industrial applications ranging from renewable energy systems, to electric vehicles, to distributed generation. Due to the switching nature of the output voltage, MLI ...