Prasanjit Dey

About me:

I am currently doing PhD in Computer Science at the SFI Centre for Research Training in Digitally-Enhanced Reality (CRT-DReal) at Technological University Dublin. My Ph.D. research focuses on the Monitoring and Short-term Forecasting of Atmospheric Air Pollutants Using Deep Neural Networks. The world is undergoing rapid urbanization and industrialization, leading to a significant deterioration in air quality. According to World Health Organization data, air quality in most cities does not meet safe guidelines. Exposure to air pollutants poses serious long-term health risks, including heart disease, nerve damage, lung cancer, and respiratory diseases such as emphysema. Even limited exposure to air pollutants can have a detrimental impact on health. As part of my research, I am developing an AI-based prediction system employing deep learning, computer vision, and satellite imagery to provide rapid, precise, and dependable warnings.

Exprience:

1. Tutor/Senior Demonstrator in Technological University Dublin, Ireland from 2023/01–2023/06. I served as a Tutor and Senior Demonstrator in the School of Informatics and Cybersecurity, where I specialized in Secure Programming.

2. Junior Research Fellow in National Institute of Technology Jamshedpur, India from 2020/12–2022/08. My work involved monitoring and predicting time-series data using deep learning models and computer vision, forecasting air quality pollutants, and analyzing satellite data for predictive insights.

3. Project Assistant (Level-III) in CSIR-Central Institute of Mining and Fuel Research (CSIR-CIMFR), India from 2018/12–2020/10. My responsibilities included developing vision enhancement software for foggy weather using TensorFlow and OpenCV. Also, creating Digital Mine software with Django, Python, and IoT technologies, predicting mine hazards with deep learning models, and developing a voice communication system using Raspberry Pi, MAT-LAB, and Simulink.

4. Assistant Professor in Ramgovind Institute of Technology, India form 2017/02–2018/07. I taught courses on computer networks, operating systems, database manage- ment, algorithms, and data structures.

Education:

1. PhD in School of Computer Science at Technological University Dublin from September 2022 – Present.

2. MTech in Information Technology from the MAULANA ABUL KALAM AZAD UNIVERSITY OF TECHNOLOGY, WEST BENGAL from June 2014 – September 2016.

3. BTech in Computer Science and Engineering from the West Bengal University of Technology, India, Kolkata (India) from June 2010 – May 2014.

Programming Languages:

Proficient with: Python, C, Latex.

Familiar with: Java, C++

Frameworks:

TensorFlow, PyTorch

AI/ML Techniques:

LLMs, Deep Learning, Computer Vision, Time-Series Forecasting

Tools:

MATLAB, OpenCV, Arduino

CV

Find attached the PDF version of my CVs:
English version: CV

Update: 2024/08/18