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Machine Learning Data Analytics Biotechnology

Ashwin Devanga

Basic Info About Me

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I am a graduate student persuing my Master's in Data Analytics Engineering (MS) at Northeastern University, Boston. I completed my bachelor's Degree in Biotechnology Engineering (B.Tech) from Indian Institute of Technology Guwahati, Guwahati, India in 2020.
My primary field of research is Reinforcement Learning (RL). I have worked on theoretical RL and it's optimisation for one-shot learning. I worked as a research assistant under Prof. K Yamauchi at Chubu University in Japan. I worked there in a series of two internships, once in the summer of 2018 and again in the summer of 2019. The work I did was published as a research paper in the international conference ICPRAM 2019 held in Prague, Czech Republic.
During my Master's, I worked under Prof. Dehghani in the field of applied RL for Industrial Simulations and Operations Research (OR) problems. I used multiple tools/Languages such as Simio, Python and C#. To build multiple industy level simulation models, I used Simio. I also built RL models in Python and then linked the two using C# based APIs.
I am well versed with multiple programming languages, including but not limited to Python, R, MatLab, Java, C and C#. I also have extensive experience in tools such as Tableau, Git, Make, CMake, Latex and Simio.
In my free time I like to play musical instruments such as the Ukulele and Bass. I also enjoy hiking, basketball and swimming.
You can find out more details about me on this website.

  • Name

    Ashwin Devanga

  • Age

    24 Years

  • Website

    ashwindevanga.com

  • Hometown

    Bangalore, India

Download My Resume here

2

Papers Published

2

Papers in Process

10

Projects Done

2

Conferences Participated

Papers

Devanga, A. and Yamauchi, K. (2019). Learning of Human and Computer: Supervised Actor-Critic based Collaboration Scheme. In Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-351-3, pages 794-801.
DOI: 10.5220/0007568407940801

ICPRAM 2019

Yamauchi Labo, Chubu University, Japan

若原 涼, Ashwin Devanga, and 山内康一郎 (2019). 人と機械学習の協調による未知問題の解の探索法. In The Proceedings of the 29th Annual Conference of Japanese Neural Network Society. JNNS2019P2-69

JNNS 2019

Yamauchi Labo, Chubu University, Japan

Ashwin Devanga, Emily Diaz Badilla and Mohammad Dehghanimohammadabadi. Using Reinforcement Learning for Decision Making in Industrial Simulation Environments. Winter Simulation Conference 2022

WSC 2022

Prof. Dehghanimohammadabadi's Lab, Northeastern University

Peng Ren, Ashwin Devanga, Sahil Belsare, and Mohammad Dehghanimohammadabadi Solving The Vehicle Routing Problem Using a Reinforcement Learning Approach Conference TBD

TBD

Prof. Dehghanimohammadabadi's Lab, Northeastern University

My Resume

  • Education

  • 2020-2022

    Masters Degree

    Northeastern University, Boston

    Master of Science (MS) in Data Analytics Engineering (DAE), from the department of Mechanical and Industrial Engineering (MIE), College of Engineering(COE), Northeastern University (NEU)

  • 2016-2020

    Bachelors Degree

    Indian Institute of Technology Guwahati, Guwahati

    Bachelors (B.Tech) in Biotechnology, from the department of Biosciences and Bioengineering(BSBE), Indian Institute of Technology Guwahati (IITG)

  • Experience

  • 2021-2022

    Research Assistant

    @Northeastern University

    Worked on using Reinforcement Learning (RL) to solve optimisation problems in industry. Operations Rsearch (OR) problems such as Vehicle Routing Problem (VRP) and Job Scheduling were the major problem statements. We also worked on Data Mining Problems and showcasing RL as a universal problem solver.

  • 2021-2022

    Teaching Assistant

    @Northeastern University

    Reinforcement Learning: 4 Semesters
    MetaHeuristics and Applications: 4 Semesters
    Simulaiton Modeling and Analysis: 4 Semesters

  • 2018 and 2019

    Research Assistant

    @Chubu University, Japan

    Worked on Research Projects related to Reinforcement Learning (RL) algorithms and their optimisation for one-shot learning.

My Hobbies

Travelling

Reading

Coding

Music

Hiking

Basketball

My Skills

Python

100%

R

90%

MatLab

90%

WebDev Tools

70%

Tableau

90%

C

75%

Java

85%

SQL

75%
Download My Resume here

Projects and Publications

Papers published, Posters presented and Talks given by me at Conferences and Journals till date.

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DM-Gym

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Vehicle Routing Problem

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Industrial Job Scheduling

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One Shot Learning

My Blog

This is my blog where my thoughts live. Check it out here at blog.ashwindevanga.com







Contact Me

If you need any help, have any available oportunities or just want to say hi, feel free to shoot me a message.
If you face any errors please feel free to email me at ashwindevanga@live.com