Research
My research work is focused towards using Data Mining and Machine Learning techniques for solving challenging problems in the field of text classification and bioinformatics, typically involving large-scale datasets (aka big data problem). In particular, I've worked on Hierarchical Classification and Multi-Task Learning for my PhD and MS dissertation, respectively. I also have immense interest in Data Mining applications in the field of social networks, recommender system, search engines, medical imaging and the list goes on. Previously, I've also worked on designing a novel clustering algorithm which can overcome some of the drawbacks associated with existing clustering algorithms.
PhD Thesis
Hierarchical Classification with Rare Categories and Inconsistencies [PDF]
Master Thesis
Using Multi-Task Learning for Large-Scale Document Classification [PDF] [Code]
B.Tech Thesis
Unsupervised Learning for Pattern Recognition - A Comparison of Different Algorithms
Publications
2018
1) Azad Naik and H. Rangwala, "Improving Large-scale Hierarchical Classification by Rewiring: A Data-driven Filter based Approach", Journal of Intelligent Information Systems (JIIS), May 2018, issn: 0925-9902, doi: 10.1007/s10844-018-0509-4
2017
1) Azad Naik and H. Rangwala, "Integrated Framework for Improving Large-scale Hierarchical Classification", ICMLA, Cancun, Mexico, December 2017 [Link] [PDF] [invited for extension to Advances in Science, Technology and Engineering Systems Journal (ASTESJ) Journal]
2) Azad Naik and H. Rangwala, "HierFlat: Flattened Hierarchies for Improving Top-Down Hierarchical Classification", International Journal of Data Science and Analytics (JDSA), Volume 4, Issue 3, pp 191-208, 2017 [Link]
Tutorial
3) H. Rangwala and Azad Naik, "Large Scale Hierarchical Classification: Foundations, Algorithms and Applications", KDD, Halifax, Canada, 13-17 August 2017 [Link]
2016
1) Azad Naik and H. Rangwala, "Embedding Feature Selection for Large-scale Hierarchical Classification", IEEE BigData, Washington D.C., USA, pp. 1212-1221 [PDF] [Slides] [Code]
2) Azad Naik and H. Rangwala, "Inconsistent Node Flattening for Improving Top-down Hierarchical Classification", IEEE DSAA, Montreal, Canada, pp. 379-388 [PDF] [Slides] [Code] [invited for extension to Journal of Data Science and Analytics]
3) Azad Naik and H. Rangwala, "Large-scale Hierarchical Classification with Rare Categories and Inconsistencies", AI Matters, Vol. 2(3), pp. 27-29, June 2016 [PDF]
4) Azad Naik and H. Rangwala, "Filter based Taxonomy Modification for Improving Hierarchical Classification", http://arxiv.org/abs/1603.00772 [Link] [PDF]
Tutorial
5) H. Rangwala and Azad Naik, "Large Scale Hierarchical Classification: Foundations, Algorithms and Applications", SDM, Miami, Florida, 5-7 May 2016 [Link] [Slides]
Doctoral Consortium
6) Azad Naik and H. Rangwala, "Hierarchical Classification with Rare Categories", SDM, Miami, Florida, 5-7 May 2016 [Poster]
2015
1) Azad Naik and H. Rangwala, "A Ranking-based approach for Hierarchical Classification", IEEE DSAA, Paris, France, 19-21 October 2015 [PDF] [Slides]
2014
1) Bhvs Ramakrishnam Raju, Valli V. Kumari and Azad Naik, "Driving Pattern Recognition Using Parameter-Lite Clustering Approach", International Journal of Research in Advent Technology (IJRAT), Vol. 2(4), April 2014 [PDF]
2013
1) Azad Naik, A. Charuvaka and H. Rangwala, "Classifying Documents within Multiple Datasets using Multi-Task Learning", 25th IEEE International Conference on Tools with Artificial Intelligence (ICTAI), 4-6 Nov. 2013, Herndon-VA, pp. 390-397 [PDF] [Code] Low Distribution Dataset: [Data1][Data2][Data3][Data4][Data5]
2012
1) Valli V. Kumari, Bhvs Ramakrishnam Raju and Azad Naik, "Hybrid Clustering Algorithm based on Mahalanobis Distance and MST", International Journal of Applied Information Systems (IJAIS) 3(5), pp. 60-63, July 2012 [PDF]
2) Damodar Reddy, P.K. Jana and Azad Naik, "A Novel Clustering Algorithm with Efficient Cluster Centre Initialization and Automation of Cluster Number", International Journal of Advanced Computer Engineering (IJACE) [PDF]
2011
1) Azad Naik, Damodar Reddy and P.K. Jana, "A Novel Clustering Algorithm for Biological Data", Proceedings of the Second International Conference on Emerging Applications of Information Technology (EAIT), 19-20 Feb. 2011, Kolkata, pp. 249-252 [PDF]
2) Abhishek Sourabh and Azad Naik, "Wireless Sensor Network based Adaptive Landmine Detection Algorithm", Proceedings of the 3rd International Conference on Electronics Computer Technology (ICECT 2011), 8 -10 April 2011, Kanyakumari, pp. 220 – 224 [PDF]
2009
1) P.K. Jana, Azad Naik and Amit Kumar, "An Upper Bound Analysis for Conflict Graph Construction in a Galled Tree Problem", International Journal of Advanced Computer Engineering (IJACE), Vol. 3, No.1, pp. 35-40, 2009 [PDF]
2) P.K. Jana and Azad Naik, "An Efficient Minimum Spanning Tree based Clustering Algorithm", Proceedings of the International Conference on Methods and Models in Computer Science (ICM2CS09), 14-15 Dec. 2009, JNU, New Delhi, pp. 199-203 [PDF] [Slides] [Code] (Note: for speedup use the MatlabBGL package for MST calculation here)