About Nirban Das
A dedicated academic and researcher with a strong foundation in Computer Science, specializing in Machine Learning, Deep Learning, and related fields. Passionate about knowledge dissemination and contributing to impactful research.
Career Objective
To work in the field of academia to deliver knowledge and information for development of the subjects to the stake holders. Followed by extensive research in the field of computer science and produce quality research and teaching output. I am also open to work but not limited to, in the field of Machine Learning, Deep Learning, Audio Signal Processing.
Research Interests
My primary research interests revolve around the application and theoretical aspects of:
- Machine Learning & Deep Learning: Neural Networks, Regression Analysis, Logistic Regression, CNN, LSTM, t-SNE
- Audio Signal Processing
- And related areas in Artificial Intelligence and Data Science.
Key Projects
An Obstacle Avoidance Using Deep Learning And Deep Reinforcement Learning For Navigating Mobile Robots
This Project aims at maneuvering a mobile robot in dynamic environment. It uses deep reinforcement learning techniques. It has been implemented in ROS2 and Gazebo for simulations. The agent learns automatically through its reward points and tries to get the best path possible.
Music Generation Using MIDI Data Using Deep Learning Techniques
The project aims at modelling a deep learning based architecture where music can be generated from it. The Model used is LSTM and RNNs to analyze MIDI files after feature extraction(musical data), this data is fed into deep LSTM neural networks and it learns from the musical data. The model then generates a new music after learning.
Patient Case Study Information System
The project aims at keeping all the general medical records including Chief Complaint, PMH, Assessments, etc, in a database. This software can also be used to generate the prescription for the patient and all the records of the patient. These records could be useful for the medical practitioner to examine or further diagnose for the future betterment of the patient.
Technical Strengths
| Programming Skills | Python, C, C++, Java, MATLAB, sage |
|---|---|
| Operating Systems | Linux, Windows |
| Database Systems | MySQL, Oracle 11g |
| Software & Tools | MS Office, LaTeX |
Languages
| English | Bilingual and Native |
|---|---|
| Bengali | Bilingual and Native |
| Hindi | Bilingual |
Other Activities
- Qualified Google Code Jam 2016, completed the qualification round
- Competitive Programming
- Playing CTFs