July 2023 to July 2025 – Assistant Professor, National Law University, Meghalaya, Shillong, Meghalaya, India.
March 2023 to July 2023 – Assistant Professor, Department of Computational Sciences, Brainware University, Barasat, West Bengal, India.
Sept. 2021 to May 2022 – Assistant Professor, Department of Computer Science & Engineering, School of Engineering & Technology, Gandhi Institute of Engineering and Technology (GIET) University, Gunupur, Odisha, India.
April 2019 to March 2020 – Visiting Faculty, iNurture Education Solutions Pvt Ltd, Deputed to: Indian Institute of Social Welfare & Business Management (IISWBM), Kolkata, India.
June 2012 to March 2018 – Project Linked Personnel (Research Project Assistant) – Machine Intelligence Unit, Indian Statistical Institute, Kolkata, India.
Research Interest
"Information Retrieval and Expertise Retrieval: Research in Information Retrieval (IR) focuses on developing efficient, scalable systems to extract relevant and timely information from large, dynamic datasets, with a particular emphasis on Expertise Retrieval in community question-answering platforms. By integrating advanced algorithms and natural language processing (NLP), I aim to improve the precision and relevance of information retrieval in user-generated content environments. This work addresses challenges in noisy, unstructured data and has applications in collaborative platforms, knowledge-sharing systems, and decision-support tools, enhancing access to specialized expertise and actionable insights.
Natural Language Processing (NLP): NLP techniques to analyze and interpret natural language in diverse contexts, including user-generated content and specialized domains like legal texts. My work focuses on parsing complex queries, extracting semantic meaning, and generating contextually appropriate outputs, such as summaries, question-answers, references, or factual insights. These efforts enable more accurate and user-centric information processing, with applications in intelligent search systems and automated knowledge extraction.
Recommender Systems: Recommender Systems centers on designing intelligent, personalized frameworks that deliver contextually relevant recommendations. By leveraging machine learning and user behavior analysis, develop systems tailored to domains such as legal, academic, financial, and e-commerce platforms. These systems enhance user experience, streamline decision-making, and improve engagement by providing precise, context-aware recommendations."
Awards
No data available
Memberships
No data available
Publications
Patents
Projects
Scholars
Interests
Information Retrieval
Natural Language Processing
Recommender System
Thought Leaderships
There are no Thought Leaderships associated with this faculty.
Top Achievements
Education
2004
B.C.A (Hons.)
University of Burdwan
2009
M.C.A.
Indira Gandhi National Open University
2024
PhD
MIU, ISI, Kolkata & University of Calcutta
India
Experience
July 2023 to July 2025 – Assistant Professor, National Law University, Meghalaya, Shillong, Meghalaya, India.
March 2023 to July 2023 – Assistant Professor, Department of Computational Sciences, Brainware University, Barasat, West Bengal, India.
Sept. 2021 to May 2022 – Assistant Professor, Department of Computer Science & Engineering, School of Engineering & Technology, Gandhi Institute of Engineering and Technology (GIET) University, Gunupur, Odisha, India.
April 2019 to March 2020 – Visiting Faculty, iNurture Education Solutions Pvt Ltd, Deputed to: Indian Institute of Social Welfare & Business Management (IISWBM), Kolkata, India.
June 2012 to March 2018 – Project Linked Personnel (Research Project Assistant) – Machine Intelligence Unit, Indian Statistical Institute, Kolkata, India.
Research Interests
"Information Retrieval and Expertise Retrieval: Research in Information Retrieval (IR) focuses on developing efficient, scalable systems to extract relevant and timely information from large, dynamic datasets, with a particular emphasis on Expertise Retrieval in community question-answering platforms. By integrating advanced algorithms and natural language processing (NLP), I aim to improve the precision and relevance of information retrieval in user-generated content environments. This work addresses challenges in noisy, unstructured data and has applications in collaborative platforms, knowledge-sharing systems, and decision-support tools, enhancing access to specialized expertise and actionable insights.
Natural Language Processing (NLP): NLP techniques to analyze and interpret natural language in diverse contexts, including user-generated content and specialized domains like legal texts. My work focuses on parsing complex queries, extracting semantic meaning, and generating contextually appropriate outputs, such as summaries, question-answers, references, or factual insights. These efforts enable more accurate and user-centric information processing, with applications in intelligent search systems and automated knowledge extraction.
Recommender Systems: Recommender Systems centers on designing intelligent, personalized frameworks that deliver contextually relevant recommendations. By leveraging machine learning and user behavior analysis, develop systems tailored to domains such as legal, academic, financial, and e-commerce platforms. These systems enhance user experience, streamline decision-making, and improve engagement by providing precise, context-aware recommendations."
July 2023 to July 2025 – Assistant Professor, National Law University, Meghalaya, Shillong, Meghalaya, India.
March 2023 to July 2023 – Assistant Professor, Department of Computational Sciences, Brainware University, Barasat, West Bengal, India.
Sept. 2021 to May 2022 – Assistant Professor, Department of Computer Science & Engineering, School of Engineering & Technology, Gandhi Institute of Engineering and Technology (GIET) University, Gunupur, Odisha, India.
April 2019 to March 2020 – Visiting Faculty, iNurture Education Solutions Pvt Ltd, Deputed to: Indian Institute of Social Welfare & Business Management (IISWBM), Kolkata, India.
June 2012 to March 2018 – Project Linked Personnel (Research Project Assistant) – Machine Intelligence Unit, Indian Statistical Institute, Kolkata, India.
Research Interests
"Information Retrieval and Expertise Retrieval: Research in Information Retrieval (IR) focuses on developing efficient, scalable systems to extract relevant and timely information from large, dynamic datasets, with a particular emphasis on Expertise Retrieval in community question-answering platforms. By integrating advanced algorithms and natural language processing (NLP), I aim to improve the precision and relevance of information retrieval in user-generated content environments. This work addresses challenges in noisy, unstructured data and has applications in collaborative platforms, knowledge-sharing systems, and decision-support tools, enhancing access to specialized expertise and actionable insights.
Natural Language Processing (NLP): NLP techniques to analyze and interpret natural language in diverse contexts, including user-generated content and specialized domains like legal texts. My work focuses on parsing complex queries, extracting semantic meaning, and generating contextually appropriate outputs, such as summaries, question-answers, references, or factual insights. These efforts enable more accurate and user-centric information processing, with applications in intelligent search systems and automated knowledge extraction.
Recommender Systems: Recommender Systems centers on designing intelligent, personalized frameworks that deliver contextually relevant recommendations. By leveraging machine learning and user behavior analysis, develop systems tailored to domains such as legal, academic, financial, and e-commerce platforms. These systems enhance user experience, streamline decision-making, and improve engagement by providing precise, context-aware recommendations."
