DR. TRIBIKRAM PRADHAN

Contact Details

  Curriculum Vitae  

Qualification

• Ph. D - Indian Institute of Technology (BHU), Varanasi (2020)
• M.Tech - VIT University, Vellore (2013)
• B.Tech (CSE) - Biju Patnaik University of Technology (BPUT), Raurkela (2010)

Areas of Specialization

• Recommender System
• Information Retrieval
• Knowledge Graph
• Social Network Analysis
• Data Mining
• Natural Language Processing

Teaching

Journal Publications

• Tribikram Pradhan, Abhinav Kumar, Sukomal Pal. HASVRec: A modularized Hierarchical Attention-based Scholarly Venue Recommendation. In Knowledge-Based Systems, volume-204, pages-106181, 2020 (SCI, IF 8.038)
• Tribikram Pradhan, Sukomal Pal. A multi-level fusion based decision support system for academic collaborator recommendation. In Knowledge-Based Systems, volume-197, pages-105784, 2020 (SCI, IF 8.038)
• Tribikram Pradhan, Chaitanya Bhatia, Sukomal Pal. A deep neural architecture based meta-review generation and final decision prediction of a scholarly article. In Neurocomputing, volume-428, pages-218-238, 2021 (SCI, IF 5.719)
• Tribikram Pradhan, Sukomal Pal. CLAVER: An integrated framework of convolutional layer, bidirectional LSTM with attention mechanism based scholarly venue recommendation. Information Sciences, volume-559, pages-212-235, 2021 (SCI, IF 6.795)
• Tribikram Pradhan, Suchit Sahoo, Utkarsh Singh, Sukomal Pal. A Proactive Decision Support System for Reviewer Recommendation in Academia. In Expert Systems with Applications, volume- 169, pages-114331, 2021 (SCI, IF 6.954)

Papers in Conference Proceedings

• Chaitanya Bhatia, Tribikram Pradhan, Sukomal Pal. MetaGen: An academic meta review generation system. In 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2020), Xi’an, China, 25-30 Jul 2020, pp. 1653–1656. ISBN 9781450380164 (CORE Ranking: A*)
• Ashwini Kumar Singh, Lakshmanan Kailasam, Tribikram Pradhan, Deepti Gupta. Context-Aware Influential Nodes Tracking in Online Social Networks. In Pacific Asia Conference on Information Systems (PACIS) Proceedings. 12-14 July, 2021 (CORE 2018 Ranking: A)
• Anubhav Apurva, Aditya Singh Verma, Tribikram Pradhan. Relevance Feedback Based Citation Recommendation for Scholarly Publications. In International Conference on Electronics, Computing and Communication Technologies, (CONECCT), Bangalore, India, 2020, pp. 1-6. (IEEE: Scopus Indexed)
• Aman Chopra, Ashray Dimri, Tribikram Pradhan. Prediction of factors affecting amlodipine induced pedal edema and its classification. In International Conference on Advances in Computing, Communications and Informatics (ICACCI), pages=1684–1689. (IEEE: Scopus Indexed)
• Aakash Bhattacharya, Khatri, Riju Tribikram Pradhan. Prediction of factors affecting amlodipine induced pedal edema and its classification. In International Conference on Advances in Computing, Communications and Informatics (ICACCI), pages=1519–1524, 2017. (IEEE: Scopus Indexed)

Books Chapters

• Swati Choudhary, Angkirat Singh Sandhu, Tribikram Pradhan. Genetic algorithm based correlation enhanced prediction of online news popularity. In Computational Intelligence in Data Mining, Advances in Intelligent Systems and Computing, volume-556, pages=133–144. (Springer: Scopus Indexed)
• Saakshi Gusain, Kansal Kansal, Tribikram Pradhan. Genetic Algorithm Based Suggestion Approach for State Wise Crop Production in India. In International Symposium on Intelligent Systems Technologies and Applications, Advances in Intelligent Systems and Computing, volume-530, pages=771–787, 2017. (Springer: Scopus Indexed)
• Mayank Khandelwal, Jayant Prakash, Tribikram Pradhan. A Novel Approach for Performance Analysis and Optimal Selection of Players in Indian Premier League Auction. In International Conference on Emerging Research in Computing, Information, Communication and Applications, volume-3, pages=347–365, Springer, New Delhi. (Springer: Scopus Indexed)
• Prajwal Rao, Ritvik Sachdev, Tribikram Pradhan. A Hybrid Approach to Rainfall Classification and Prediction for Crop Sustainability. In International Conference on Advances in Signal Processing and Intelligent Recognition Systems, Advances in Intelligent Systems and Computing, volume-425, pages=457–471, 2015. (Springer: Scopus Indexed)
• Ritika Chadha, Shubhankar Mayank, Anurag Vardhan, Tribikram Pradhan. Application of data mining techniques on heart disease prediction: a survey. In International Conference on Emerging research in computing, information, communication and applications, volume-2, pages=413–426. (Springer: Scopus Indexed)