Sanchayan Bhunia

Sanchayan Bhunia

Genoa, Liguria, Italy
361 followers 342 connections

About

Experienced Full Stack Engineer | Expertise in React, Redux, Node.js, and TypeScript |…

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Activity

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Experience

  • DataHow AG Graphic

    DataHow AG

    Milan, Lombardy, Italy

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    Milan, Lombardy, Italy

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    Remote

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    India

Education

  • University of Genoa Graphic

    University of Genoa

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    Business Intelligence

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    Activities and Societies: T T Club, Science Club

    Nonlinear dynamics, Statistical Physics, Mathematical Modelling and Scientific Computing

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    Activities and Societies: Cricket Club, T T Club, Chess Club

    Basic Sciences and Languages

Publications

  • MAiS: Exploiting JADE as a Multi-Agent simulator of the Immune System

    EMAS

    The immune system is the second most complex biological
    system after the brain. It consists of millions of cells, of various natures, interacting amongst them to keep the organism safe from external enemies
    (pathogens), such as viruses and bacteria. To better understand how the
    immune system works, and how it reacts to certain diseases and cures,
    simulations have been proposed over the years. We may
    find agent-based ones where the organism’s actors, like cells…

    The immune system is the second most complex biological
    system after the brain. It consists of millions of cells, of various natures, interacting amongst them to keep the organism safe from external enemies
    (pathogens), such as viruses and bacteria. To better understand how the
    immune system works, and how it reacts to certain diseases and cures,
    simulations have been proposed over the years. We may
    find agent-based ones where the organism’s actors, like cells, antibodies,
    viruses, and so on, are represented as agents. In this paper, we present
    the initial design and development of an agent-based simulation of the
    immune system using a well-known agent framework, JADE. We offer
    the engineering choices we made and the instantiation of some secondary immune system response steps. We discuss the implementation
    in JADE, and we present some experimental results.

    Other authors
    See publication
  • Survival chances of a prey swarm: how the cooperative interaction range affects the outcome

    Nature.com

    A swarm of prey, when attacked by a predator, is known to rely on their cooperative interactions to escape. Understanding such interactions of collectively moving prey and the emerging patterns of their escape trajectories still remain elusive. In this paper, we investigate how the range of cooperative interactions within a prey group affects the survival chances of the group while chased by a predator. As observed in nature, the interaction range of prey may vary due to their vision, age, or…

    A swarm of prey, when attacked by a predator, is known to rely on their cooperative interactions to escape. Understanding such interactions of collectively moving prey and the emerging patterns of their escape trajectories still remain elusive. In this paper, we investigate how the range of cooperative interactions within a prey group affects the survival chances of the group while chased by a predator. As observed in nature, the interaction range of prey may vary due to their vision, age, or even physical structure. Based on a simple theoretical prey-predator model, here, we show that an optimality criterion for survival can be established on the interaction range of prey. Very short-range or long-range interactions are shown to be inefficient for the escape mechanism. Interestingly, for an intermediate range of interaction, the survival probability of the prey group is found to be maximum. Our analysis also shows that the nature of the escape trajectories strongly depends on the range of interactions between prey and corroborates with the naturally observed escape patterns. Moreover, we find that the optimal survival interaction regime varies depending on the prey group size and also on the strength of the predator and the prey interactions.

    Other authors
    • Dr. Rumi De
    See publication

Courses

  • Business Analytics

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  • Business Management and Organisational Structure

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  • Concurrent Programming and DBMS

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  • Data Protection and Privacy

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  • Data Visualization

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  • Data Warehouse

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  • IoT

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  • Large Scale Computing

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  • Machine Learning

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  • Multi-agent Systems

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  • Natural Language Processing

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Projects

  • Human Immune System Modelling With Software Agents

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    The goal of this project is to model components of the Immune system and their behaviours using self-motivated interacting agents using Java Middle-ware Java Agent Development Framework (JADE) and simulate a situation when the immune system is under attack from a virus.

    See project
  • Contact Tracing System

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    Designing a system to trace potential spread of COVID using contact tracing. The system includes a dashboard for the administrator to see movement of an user in an estate.

    See project
  • Visualization of Global Human Migration

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    This is the visualization of Immigration and Emigration data from United Nations Migration Database. The project is designed using only javascript and d3.js library and no third party library has been used.

    Please select if you wish to see immigration or emigration, select a country on map. A stacked graph will be created. Select any year from the bar chart or just press the play button to animate. Now interact with anything and everything in view.

    This is a desktop application…

    This is the visualization of Immigration and Emigration data from United Nations Migration Database. The project is designed using only javascript and d3.js library and no third party library has been used.

    Please select if you wish to see immigration or emigration, select a country on map. A stacked graph will be created. Select any year from the bar chart or just press the play button to animate. Now interact with anything and everything in view.

    This is a desktop application and intended view is with a 4k Monitor. Interact with the elements to find out more.

    See project
  • Sentiment Analysis of Tweets regarding Popular COVID-19 Vaccines

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    The goal of this project is to collect tweets written in English, German and French from Twitter
    and applying some of techniques discussed during the course to clean the text and analyse the
    sentiment of those tweets, then by using some of the other techniques learnt from previous courses
    in my master’s curriculum to find out the distributions of sentiments for different vaccines and also
    to find out any co-relation between different types of twitter users namely “verified” ones who…

    The goal of this project is to collect tweets written in English, German and French from Twitter
    and applying some of techniques discussed during the course to clean the text and analyse the
    sentiment of those tweets, then by using some of the other techniques learnt from previous courses
    in my master’s curriculum to find out the distributions of sentiments for different vaccines and also
    to find out any co-relation between different types of twitter users namely “verified” ones who are
    usually celebrates and well known people in their respective communities and non-verified ones,
    the general public. Other important goals of this project includes to find out heat-maps of vaccine
    hesitancy and vaccine decisiveness around the globe and if possible to find out which are the most
    popular vaccines in the different parts of the world.

    See project
  • Graph Anonymization: A comparison between Dynamic Programing and Greedy-swap Algorithm

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    Graph database and datastructures are used everywhere to store data starting from social networks, VPN providers to a bank's customer information. The privacy is secured while data used in the organization internally. The moment an organization either outsource the data to a third party, the privacy of the customer is lost. But sometimes, an organization needs outsource the data for analysis or to build a data centric application. In that case, securing the privacy of its customers is one of…

    Graph database and datastructures are used everywhere to store data starting from social networks, VPN providers to a bank's customer information. The privacy is secured while data used in the organization internally. The moment an organization either outsource the data to a third party, the privacy of the customer is lost. But sometimes, an organization needs outsource the data for analysis or to build a data centric application. In that case, securing the privacy of its customers is one of the primary concern of the organization.
    There are multiple algorithms to anonymize graphs a.k.a. networks namely, greedy swap and dynamic programming with time of execution and accuracy being the trade-off. Here in this project we have discovered two more algorithms which stands in-between. Almost 1000 times faster than dynamic programming and with the accuracy intact.

    See project
  • Implementation of SVM from scratch and comparison with KNN With K-Fold Cross Validation

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    Implementation of K-Nearest Neighbour and Support Vector Machine Algorithms and k-Fold Cross Validation algorithm implementation for both classifiers. Comparison between both algorithms.

    See project
  • Business Process Mining using Prome and DisCo

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    Mining a Business Process for Process Discovery and Bottleneck Analysis in ProM with different Mining Algorithms like Alpha Miner, Inductive Miner, Heuristic Miner and Social Network Mining.

    See project
  • Data Warehouse Design of HHUSA Program

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    Hire Hero USA is a non-profit organization devoted towards connecting veterans and their spouses with organizations willing to hire. Not only that, they also provide volunteer services to willing participants by conducting mock interview sessions and other necessary arrangements while logging their data in transactional data bases. Such a data source is been analysed here in order to find relevant correlations in Employer Partnerships and Opportunities and Serving Spouses Program guided by the…

    Hire Hero USA is a non-profit organization devoted towards connecting veterans and their spouses with organizations willing to hire. Not only that, they also provide volunteer services to willing participants by conducting mock interview sessions and other necessary arrangements while logging their data in transactional data bases. Such a data source is been analysed here in order to find relevant correlations in Employer Partnerships and Opportunities and Serving Spouses Program guided by the business questions in Teradata.

    See project

Honors & Awards

  • Junior Research Fellowship

    Ministry of Human Resource Development

    NET Junior Research Fellowship

  • INSPIRE Fellowship

    Department of Science & Technology (DST), Govt. of India.

Languages

  • Bengali

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  • Hindi

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  • English

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