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    Browsing Division of Electrical, Electronics, and Computer Science (EECS) by thesis submitted date 
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    • Division of Electrical, Electronics, and Computer Science (EECS)
    • Browsing Division of Electrical, Electronics, and Computer Science (EECS) by thesis submitted date
    •   etd@IISc
    • Division of Electrical, Electronics, and Computer Science (EECS)
    • Browsing Division of Electrical, Electronics, and Computer Science (EECS) by thesis submitted date
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    Browsing Division of Electrical, Electronics, and Computer Science (EECS) by thesis submitted date"2025"

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    Now showing items 1-15 of 15

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      • Algorithms for various cost criteria in Reinforcement Learning 

        Guin, Soumyajit
        In this thesis we will look at various Reinforcement Learning algorithms. We will look at algorithms for various cost criteria or reward objectives namely Finite Horizon, Discounted Cost, Risk-Sensitive Cost. For Finite ...
      • Combinatorial Problems arising in Quantum Physics and Model counting 

        Reddy, Rishikesh G S M
        This thesis investigates some combinatorial problems arising in quantum physics and model counting. In particular, we develop new graph-theoretic techniques to resolve some open questions from quantum photonics. We also ...
      • Controller Synthesis Techniques for Infinite-State Reactive Systems 

        Samuel, Stanly John
        Reactive systems are ubiquitous, with various use cases ranging from controllers for cyber-physical systems to programs that run on multipurpose computers. A system is reactive if it continually behaves in a specific manner ...
      • An Efficient Hardware Accelerator for Ascon-128 Lightweight Authenticated Encryption 

        Das, Dhrupadi
        The recent growth in connected devices has made it exceedingly vital to safeguard data communicated by resource-constrained embedded systems in Internet of Things (IoT) applications such as smart grids, industrial automation ...
      • Enhancement Techniques for OTFS and Hybrid Reflection Modulation 

        Roy, Nabarun
        Orthogonal time frequency space (OTFS) modulation and hybrid reflection modulation (HRM) are emerging technologies in wireless communications. OTFS provides robustness in high Doppler channels. HRM improves rate and ...
      • Feature Tracking and Visual Analysis of Temporal Scalar Fields in the Ocean 

        Singh, Upkar
        The Bay of Bengal (BoB) has maintained its salinity distribution over the years despite a continuous flow of fresh water entering it through rivers on the northern coast, which can dilute its salinity. This can be ...
      • Generalizable No-Reference Image Quality Assessment: Multi-Modal Models and Human Preference Analysis for AI Generated Images 

        Totate, Sanjot Sagar
        One of the major challenges in no-reference (NR) image quality assessment (IQA) is the ability to generalize to diverse quality assessment applications. Recently, multi-modal vision-language models have been found to be ...
      • IEDFuRL: A Black-box Fuzz Tester for IEC61850-based Intelligent Electronic Devices using Reinforcement Learning 

        Kanmani, A
        Intelligent Electronic Devices (IEDs) are essential components of modern power grids, functioning as microprocessor-based controllers that facilitate communication, monitoring, protection, and control within Supervisory ...
      • Loop Transformations for Multi-/Many-Core Architectures using Machine Learning 

        Babalad, Shilpa
        Loop transformation techniques such as loop tiling, loop interchange and unroll-and-jam help expose better coarse-grain and fine-grain data-level parallelisms as well as exploit data locality. These transformations are ...
      • Mitigating Bias via Algorithms with Fairness Guarantees 

        Gorantla, Sruthi
        The rapid integration of automated decision-making systems in critical domains such as resume screening, loan approval, content recommendation, and disaster containment has raised significant concerns regarding biases in ...
      • Neuromorphic Vision: Asynchronous and Sparse Processing of Event Camera Data 

        Annamalai, Lakshmi
        Modern systems, including edge computing, autonomous vehicles and robotics, face constraints, such as limited processing power and restricted battery energy, making computational efficiency a critical bottleneck for their ...
      • Physics-Informed Neural Network-Based Solution for the Poisson-Boltzmann Equation in an Independent Double-Gate MOSFET 

        Raman, Sanjana
        Physics-Informed Neural Networks (PINNs) have emerged as a promising framework for solving partial differential equations (PDEs) by incorporating physical constraints into deep learning models. However, their convergence ...
      • PyGraph: Compiler Support for Efficient and Transparent Use of CUDA Graphs 

        Ghosh, Abhishek
        CUDA Graphs --- a recent hardware feature introduced for NVIDIA GPUs --- aim to reduce CPU launch overhead by capturing and launching a series of GPU tasks (kernels) as a DAG. However, deploying CUDA Graphs faces several ...
      • RSMA Architectures for Downlink Communication Systems 

        Rajashekhar
        Demand for the internet is increasing day by day, and the number of internet users is also growing drastically. Multiple access (MA) plays an important role in the fifth-generation (5G) and upcoming sixth-generation (6G) ...
      • Sparse Input Novel View Synthesis of Dynamic Scenes 

        Choudhary, Kapil
        Novel view synthesis involves generating unseen perspectives of a scene based on videos captured from limited viewpoints. It is an interesting problem in computer graphics and computer vision, with many applications such ...

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