Dissertation and Thesis: Recent submissions

  • Some Results on Combinatorial Batch Codes and Permutation Binomials over Finite Fields 
    Bhattacharya, Srimanta (Indian Statistical Institute,Kolkata, 2015)
    In this thesis,we study combinatorial batch codes (CBCs) and permutation binomials (PBs) over �nite �elds of even characteristic. Our primary motivation for considering these problems comes from their importance in ...
  • Around Fatou Theorem and Its Converse on Certain Lie Groups 
    Sarkar, Jayanta (Indian Statistical Institute,Kolkata, 2021-07)
    A classical result due to Fatou relates the radial and nontangential behaviour of the Poisson integral of suitable measures on the real line with certain differentiability properties of the measure. Loomis proved the ...
  • Arrangement Graphs and Intersection Graphs of Curves 
    Sahoo, Uma kant (Indian Statistical Institute,Kolkata, 2022-02)
    An arrangement of a set of non-self-intersecting curves is their embedding in the Euclidean plane such that at each intersection point the curves involved cross each other. Arrangements are well-studied both in Discrete ...
  • Policy Design and Verification for Multi-Access Edge Computing 
    Ray, Kaustabha (Indian Statistical Institute,Kolkata, 2022-02)
    In recent times, Multi-Access Edge Computing (MEC) is showing much promise as the preferred application service provisioning model to facilitate convenient access to services for mobile users. The central idea of MEC is ...
  • The Cops and Robber game on some graph classes 
    Gahlawat, Harmender (Indian Statistical Institute,Kolkata, 2022-01)
    Cops and Robber is a two-player pursuit-evasion game played on graphs. Here, one player controls a set of k cops, and the other player controls a single robber. The game starts with k cops placing themselves on the vertices ...
  • Essays in Auctions and Robust Bilateral Trading 
    Malik, Komal (Indian Statistical Institute, New Delhi, 2021-07)
    This thesis is divided into four chapters. Each chapter deals with the allocation or trading mechanisms of private goods. The first two chapters deal with private good allocation problems. In the first chapter, we consider ...
  • Quantum query complexity through the ens of communication complexity and exact learning 
    Paraashar, Manaswi (Indian Statistical Institute,Kolkata, 2022-02)
    Query complexity, both classical and quantum, are important and well-established notions of computation. In this thesis, we will investigate query complexity in both classical and quantum worlds and study their relationship ...
  • Discriminative Dictionary Learning by Exploiting Inter-Class Similarity for HEp-2 Cell Classi cation 
    Panda, Aditya (Indian Statistical Institute,Kolkata, 2019-07)
    In this literature we present an algorithm for automatic classi cation of IIF images of HEp-2 cells into relevant classes. Our algorithm is majorly based on the \Dictionary Learning" algorithm and we have rede ned it's ...
  • BlockV: A Blockchain Enabled Peer-Peer Ride Sharing Service 
    Pal, Panchalika (Indian Statistical Institute,Kolkata, 2019-07)
    Today's ride sharing is a centralized trust based system where users trust the service providers for the ride set up, tracking, cancellation, fare calculation etc. Any malicious activity in the centralized server based ...
  • Stability and (Obviously) Strategy-proofness in Matching Theory 
    Mandal, Pinaki (Indian Statistical Institute,Kolkata, 2021-08)
    We analyze stability and (obviously) strategy-proofness in two well-known models of matching theory, namely “assignment problem” (a one-sided matching model) and “marriage problem” (a two-sided matching model). • In ...
  • Recognition of Strokes in Tennis Videos Using Deep Learning 
    Singanporia, Kushal (Indian Statistical Institute,Kolkata, 2019-07)
    Prior introduction of neural nets to domain of computer vision, action recognition requires specific domain knowledge. Still domain knowledge is useful in action recognition but with availability of huge data and ...
  • Classi cation of Micro-Blog Texts 
    Sen, Bihan (Indian Statistical Institute,Kolkata, 2019-07)
    Classi cation of micro-blog texts is a very common task for sentiment analysis, user opinion mining, product review analysis, crisis managements, identifying ofensive and hate speech propagation across social media, ...
  • On Testing of Samplers and Related Problems 
    Chakraborty, Shayak (Indian Statistical Institute,Kolkata, 2019-07)
    The last decade has seen an unprecedented adoption of Arti cial Intelligence and Machine Learning Algorithms in various engineering applications such as medical imaging, autonomous vehicles, web services, etc. Probabilistic ...
  • Event Timeline Generation and Summarization using PageRank 
    Das, Pabani (Indian Statistical Institute,Kolkata, 2019-07)
    Given a search query our system retrieves most significant events related to the query and display them in user friendly timeline. We are using graph structure to compute relative importance of events. We are representing ...
  • Cryptanalysis of Symmetric Key Schemes using Classical and Quantum Techniques 
    Rahman, Mostafizar (Indian Statistical Institute, Kolkata, 2022-01)
    Symmetric key cryptography refers to the encryption methods in which the same key is used by both the sender and the receiver. Cryptanalysis is a process of finding vulnerabilities in cryptographic algorithms in order to ...
  • Feature Extraction And Detection of Malicious URLs Using Deep Learning Approach 
    Kushwaha, Rajni (Indian Statistical Institute,Kolkata, 2019-07)
    Phishing Attack is one of the cyber bullying activity over the internet. Most of the phishing websites try to look similar to legitimate websites, their web content and URL features memic the legitimate URL. Due to ...
  • A Novel Approach to Automated Coal Petrography Using Deep Neural Networks Souptik 
    Mukhopadhyay, Souptik (Indian Statistical Institute,Kolkata, 2019-07)
    This research work is industry sponsored and carried out in collaboration with Tata Steel, India. Its objective is to alleviate a bottleneck in the steel manufacturing pipeline by the application of automated coal ...
  • Computational Learning Theory aspects of Piecewise Polynomial and Sigmoidal Neural Networks 
    Das, Soumya Kanti (Indian Statistical Institute,Kolkata, 2019-07)
    VC (Vapnik Chervonenkis) Dimension is a useful tool for measuring the power of a neural network or some other types of classi ers. In the eld of learning theory VC dimension represents the generalized power of a neural ...
  • Unsupervised Machine Translation For Indian Languages Using Monolingual Corpora 
    Choudhary, Sudeep (Indian Statistical Institute,Kolkata, 2019-07)
    Machine translation has traditionally relied on parallel data but the amount of parallel data available for Indian languages is very less . The parallel data for Hindi-Marathi translation is around 50000 sentences which ...
  • Deep Clustering For Screening Diabetic Retinopathy 
    Jaiswal, Sangeet (Indian Statistical Institute,Kolkata, 2019-07)
    Deep neural networks have been investigated in learning latent representations of medical images, yet most of the studies limit their approach using supervised convolutional neural network (CNN), which usually rely heavily ...

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