- Information Retrieval
- Natural Language Processing
- Recommender System
Experience top of the world living and learning at SRM University-AP
+91-863-2343000
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Email: admissions@srmap.edu.in
SRM University-AP, Neerukonda,
Mangalagiri Mandal, Guntur District, Andhra Pradesh - 522240
- 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.
- 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.
Journal Publications
- Time-aware Hybrid Expertise Retrieval System in Community Question Answering Services - D. Kundu, R. K. Pal, D. P. Mandal, Applied Intelligence 51, 6914-6931 (2021)
- Topic Sensitive Hybrid Expertise Retrieval System in Community Question Answering Services - D. Kundu, R. K. Pal, D. P. Mandal, Knowledge-Based Systems 211, 106535 (2021)
- Preference Enhanced Hybrid Expertise Retrieval System in Community Question Answering Services - D. Kundu, R. K. Pal, D. P. Mandal, Decision Support Systems 129, 113164 (2020)
- Formulation of a Hybrid Expertise Retrieval System in Community Question Answering Services - D. Kundu, D. P. Mandal, Applied Intelligence 49, 463-477 (2019)
- Finding Active Experts for Question Routing in Community Question Answering Services - D. Kundu, R. K. Pal, D. P. Mandal In: Pattern Recognition and Machine Intelligence, 8th International Conference, PReMI 2019, Lecture Notes in Computer Science, vol 11942, 323-331 (2019)
- Finding Experts in Community Question Answering Services: A Theme Based Query Likelihood Language Approach - D. P. Mandal, D. Kundu, S. Maiti In: 2015 International Conference on Advances in Computer Engineering and Applications, 423-427 (2015)
- 1. Financial Empowerment in Meghalaya: AI-Powered Multilingual E-Marketplace for Tribes
Institution: National Law University, Meghalaya
Role: Co-Principal Investigator
Sanctioned Amount: ₹41,92,400.00
Funding Agency: IIT Bhilai Innovation and Technology Foundation (IBITF)
Duration: October 2023 – October 2025
Status: Ongoing - 2. LIDSS: Legal Intelligence and Decision Support System
Institution: National Law University, Meghalaya
Role: Co-Principal Investigator
Sanctioned Amount: ₹49,91,556.00
Funding Agency: IIT Kharagpur AI4ICPS I-Hub Foundation
Duration: February 2024 – February 2026
Status: Ongoing
E-mail id:dipankar.k@srmap.edu.in