Computer Science & Engineering and Information Technology (CSE&IT)

He is currently serving as an Assistant Professor (Senior Grade) in the Department of Computer Science and Engineering/Information Technology at Jaypee University of Information Technology, located in Waknaghat, Solan, Himachal Pradesh. He has accumulated more than six years of teaching experience across reputable universities and institutes. During his initial years of teaching, he secured the 1st rank in the Faculty Development Program.
In 2023, he successfully obtained his PhD from the Indian Institute of Technology Ropar. Additionally, he was honored with the Director’s Medal for achieving the top position in his MTech in Computer Science and Engineering at Dayalbagh Educational Institute, Agra. Furthermore, he qualified GATE in 2010, 2011, and 2014, as well as NET in June 2013 and December 2014.
His research pursuits encompass various areas, including opinion mining, social network analysis, computational social science, and machine learning. His doctoral thesis, which centers around comprehending diverse facets of public opinion, aims to construct opinion dynamics models to investigate a wide array of social phenomena.

Minor Projects Titles:

NLP for Health Issues
Leveraging Natural Language Processing (NLP) for health issues entails utilising advanced linguistic analysis techniques to address challenges in healthcare. This could involve sentiment analysis of patient feedback, extracting valuable insights from medical literature, or improving communication in healthcare settings through language understanding models.

AI for Social Good
The application of Artificial Intelligence (AI) for social good involves deploying intelligent solutions to address societal challenges. This can span various domains, such as developing AI-driven tools for environmental sustainability, disaster response optimization, healthcare accessibility improvement, and education enhancement. The aim is to harness AI for the betterment of communities and society at large.

Transfer Learning Based Stance Detection
In the realm of natural language processing, transfer learning-based stance detection focuses on enhancing models by leveraging knowledge from pre-trained models. This approach aims to improve the accuracy and efficiency of stance detection across different domains, allowing models to generalise better and perform effectively even with limited domain-specific labelled data.

Social Network Analysis on Political Landscape
Analysing the political landscape through Social Network Analysis (SNA) involves studying the relationships and interactions between political entities. This encompasses identifying key influencers, understanding information flow, and deciphering the overall structure of political networks. The goal is to gain insights into power dynamics, decision-making processes, and predict trends within the political landscape.

Cross-platform Analysis of News Consumption
The cross-platform analysis of news consumption delves into understanding how individuals consume news across diverse channels. Through data analysis, this project aims to uncover patterns in user behaviour, preferences, and potential biases when accessing news on social media, traditional news websites, and other platforms. The objective is to provide a comprehensive understanding of information dissemination in the contemporary digital age.