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    Browsing by thesis submitted date"2020"

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      • Acoustic-Articulatory Mapping: Analysis and Improvements with Neural Network Learning Paradigms 

        Illa, Aravind
        Human speech is one of many acoustic signals we perceive, which carries linguistic and paralinguistic (e.g., speaker identity, emotional state) information. Speech acoustics are produced as a result of different temporally ...
      • Adaptive charging techniques for Li-ion battery using Reinforcement Learning 

        Tunuguntla, Surya Teja
        Li-ion batteries have become a promising technology in recent years and are used everywhere from low-end devices like mobile phones to high-end ones like electric vehicles. In most applications, the discharge of a battery ...
      • Adaptive Dielectric Thin Film Transistor : A Self-Configuring Device for Low Power Electrostatic Discharge Protection 

        Bhattacharya, Prasenjit
        Large area and flexible electronic systems are widely used in applications such as displays, image sensors, wearable electronics, and energy harvesting systems. One of the fundamental functional blocks in these systems is ...
      • Additive Manufacturing of Inconel 718 Cellular Structures 

        Kandula, Venkata Rama Sateesh
        Additive Manufacturing (AM) is getting adopted in various industries like automobile, aerospace, medical, nuclear, defense, and space, amongst many others, in the last five to ten years due to the tremendous advantages of ...
      • Advanced Guidance Laws for Field-of-View and Impact Angle Constrained Engagements 

        Annam, Chandrakanth
        This thesis deals with the development of guidance laws for interceptors with seeker field-of-view (FOV) and impact angle constraints. Two classes of guidance problems, namely, field-of- view and impact angle constrained ...
      • Advances in Microfluidic Impedance Cytometry for Electromechanical Characterization of Cells 

        Mahesh, Karthik
        Single-cell analysis is extremely important for discovering unique characteristics of individual cells, identifying cell populations of interest, and understanding their behaviour during disease conditions. With the advent ...
      • AlGaN/GaN Heterojunction Based Hall Sensors for Magnetic Field Sensing over Wide Temperature Range 

        Kumar, Sagnik
        Hall sensor has proved to be an attractive solution for sensing requirements in electric machines for direct measurement of fields or indirect estimation of physical quantities such as current, speed and torque. Current ...
      • Algorithms for Challenges to Practical Reinforcement Learning 

        Sindhu, P R
        Reinforcement learning (RL) in real world applications faces major hurdles - the foremost being safety of the physical system controlled by the learning agent and the varying environment conditions in which the autonomous ...
      • Algorithms for Estimating Integrals in High Dimensional Spaces 

        Arun, I
        Sampling, estimation and integration in high dimensional continuous spaces is required in diverse areas ranging from modeling multi-particle physical systems and optimization to inference from data. When the number of ...
      • Algorithms for Fair Decision Making: Provable Guarantees and Applications 

        Biswas, Arpita
        The topic of fair allocation of indivisible items has received significant attention because of its applicability in several real-world settings. This has led to a vast body of work focusing on defining appropriate fairness ...
      • Algorithms for Social Good in Online Platforms with Guarantees on Honest Participation and Fairness 

        Ghalme, Ganesh Sambhaji
        Recent decades have seen a revolution in the way people communicate, buy products, learn new things, and share life experiences. This has spurred the growth of online platforms that enable users from all over the globe to ...
      • Algorithms for Stochastic Optimization, Statistical Estimation and Markov Decision Processes 

        Kamanchi, Chandramouli
        Stochastic approximation deals with the problem of finding zeros of a function expressed as an expectation of a random variable. In this thesis we propose convergent algorithms for problems in optimization, statistical ...
      • Analysis and Mitigation of SideLobe Degradation due to Quantized control in mmWave 5G Phased Arrays 

        Kochar, Ajay
        Antenna arrays are one of the most important parts of the RF communication systems. With the advancement in the eld of 5G mobile communication, electronically steerable arrays, particularly phased arrays have undergone ...
      • Analysis and Modelling of Small Scale Organic Rankine Cycle System with Scroll Expander 

        Dash, Avinash
        In recent years, the growing concern about pollution from fossil fuels has resulted in an increased effort for utilization of low-grade heat sources such as industrial waste heat, solar energy and other renewable sources. ...
      • Analysis of Kinematic Constraints in Fixed-Wing UAV Formation Flying 

        Challa, Vinay Reddy
        Rise in autonomy has led to increase in usage of Unmanned Aerial Vehicles (UAVs) for various applications and has allowed the UAVs to perform complex and hazardous missions with ease. Formation of multiple UAVs finds ...
      • Application of Mesoporous Silica nanoparticles as a nano-carrier for the treatment of HCV and HIV infections 

        Mukherjee, Mousumi Beto
        Carrier-mediated drug delivery systems have emerged as a powerful tool for the treatment of various diseases, especially, in the field of viral infection. The therapeutic index of traditional and novel anti-virals are ...
      • Applications of Magnetic Helical Nanomotors: From Cancer Biology to Dentistry 

        Dasgupta, Debayan
        Micron/nano sized machines promise precise targeting and drug-delivery at hard to reach places inside the human body. There have been tremendous efforts in this direction and various remotely powered artificial nanomachines ...
      • Architectures for enhancing bandwidth and power scalability of optical frequency combs 

        Vikram, Bhagavatula Shiva
        Optical frequency combs (OFCs) have revolutionized high bandwidth communications, spectroscopy, arbitrary RF waveform generation, LIDAR (Light Detection and Ranging), and astronomical spectrograph calibration. OFCs have ...
      • Aspects of Heavy Supersymmetry 

        Lamba, Priyanka
        The recent discovery of a Higgs boson with a mass around 125 GeV, taken together with experimental results from flavor factories, dark matter direct detection, and searches for SUSY particles in the LHC suggest that ...
      • Atom-to-circuit Modeling Strategy for 2d Transistors 

        Das, Biswapriyo
        Two-dimensional materials are now being considered as viable options for CMOS (complementary metal-oxide-semiconductor) technology extension due to their diverse electronic and opto-electronic properties. However, introduction ...

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