Dr Tanmay Basu

Dr Tanmay Basu

Institute of Cancer and Genomic Sciences
Research Fellow

Contact details

Telephone
+44 (0)121 3718497
Email
t.basu@bham.ac.uk
View my research portal
Address
Centre for Computational Biology
Institute of Translational Medicine
Heritage Building
Mindelsohn Way
Birmingham
B15 2TH

Tanmay Basu is a Research Fellow in biomedical informatics with interests in developing methods and tools using novel computational natural language processing, text mining, machine learning and sentiment analysis techniques for potential knowledge discovery in electronic health records, social media, biomedical publications, and other types of text data. Tanmay is based in the Centre for Computational Biology, Institute of Cancer and Genomic Sciences.

Qualifications

  • PhD in Computer Science, Indian Statistical Institute, Kolkata, India, 2014
  • Master of Computer Applications, Jadavpur University, Kolkata, India, 2008
  • BSc (Major) in Computer Applications, University of Calcutta, Kolkata, India, 2002

Biography

A computer scientist by training, Tanmay has developed knowledge and skills within text mining, natural language processing (NLP) and machine learning techniques since his master degree. His master's thesis describes the scopes of machine learning algorithms for retrieving geographical information from text, which helped me to gain the doctoral degree in Computer Science with emphasis on machine learning and text mining. His doctoral thesis explains some novel text clustering and classification methods. Subsequently, he worked as a postdoctoral fellow at Northwestern University, Chicago and then at University of Michigan, Ann Arbor, USA. During this time, he worked on various projects related to information extraction from biomedical publications and electronic health records using machine learning and NLP.

In 2017, he came back to his homeland and spent few years as a junior faculty at Ramakrishna Mission Vivekananda Educational and Research Institute, Belur Math, West Bengal, India. There he gained experience by teaching and mentoring the MSc Computer Science and MSc Data Science students in different topics of machine learning and NLP.

He joined the University of Birmingham in August 2019 as a Research Fellow, to work on developing methods and tools for information extraction from electronic health records and to collaborate with other researchers and clinicians to develop novel solutions. 

Research

The broad objective of Tanmay is to work on novel computational natural language processing, text mining, machine learning and sentiment analysis techniques for potential knowledge discovery in different types of text data. For the last few years, he has been working on information extraction from electronic health records, biomedical publications and social media to overcome several issues e.g., identifying the risk of depression over social media. He is also working on developing unsupervised methods for finding natural communities in social networks to improve the quality of recommender systems. 

Publications

Swarup Chattopadhyay, Tanmay Basu, Asit K.das, Kuntal Ghosh and C.A.Murthy. Towards Effective Discovery of Natural Communities in Complex Networks and Implications in E-commerce. Electronic Commerce Research, Springer. doi:10.1007/s10660-019-09395-y, 2020.  

Swarup Chattopadhyay, Tanmay Basu, Asit K.das, Kuntal Ghosh and C.A.Murthy. A similarity based generalized modularity measure towards effective community discovery in complex networks. Physica A: Statistical Mechanics and its Applications. doi.org/10.1016/j.physa.2019.121338, 2019. 

Shubhaditya Goswami, Sukanya Pal, Simon Goldsworthy and Tanmay Basu. An E_ective Machine Learning Framework for Data Elements Extraction from the Literature of Anxiety Outcome Measures to Build Systematic Review, published in Proceedings of Business Information Systems, pp. 247-258

Sevilla, Spain, 2019. Tim Guetterman, Tammy Chang, Melissa DeJonckheere, Tanmay Basu, Elizabeth Scrubs and VG Vinod Vydiswaran. Augmenting Qualitative Text Analysis with Natural Language Processing: Methodological Study. Journal of Medical Internet Research, vol. 20(6):e231, doi: 10.2196/jmir.9702, 2018.

Sayanta Paul, Sree Kalyani Jandhyala and Tanmay Basu. Early Detection of Signs of Anorexia and Depression Over Social Media using Effective Machine Learning Frameworks, published in Proceedings of CLEF 2018Working Notes, Avignon, France. 

Avideep Mukherjee and Tanmay Basu. An Effective Nearest Neighbor Classification Technique Using Medoid Based Weighting Scheme, published in Proceedings of the Fourteenth International Conference on Data Science, pp. 231-234, Las Vegas, USA, 2018. 

Arnab Roy and Tanmay Basu. Effective Grouping of Unlabeled Texts using A New Similarity Measure for Spectral Clustering, published in Proceedings of the Fourteenth International Conference on Data Science, pp. 181-184, Las Vegas, USA, 2018. 

Ritam Majumder and Tanmay Basu. Towards Developing Effective Machine Learning Frameworks to Identify Toxic Conversations Over Social Media, published in Proceedings of the Fourteenth International Conference on Data Science, pp. 239-240, Las Vegas, USA, 2018. 

Anurag Banerjee and Tanmay Basu. Yet Another Weighting Scheme for Collaborative Filtering Towards Effective Movie Recommendation, published in Proceedings of the Fourteenth International Conference on Data Science, pp. 237-238, Las Vegas, USA, 2018. 

Tanmay Basu and C. A. Murthy. A Supervised Feature Selection Technique for Effective Text Categorization, International Journal of Machine Learning and Cybernetics, Springer, vol. 7(5), pp. 877-892, 2016. 

Tanmay Basu and C. A. Murthy. A Similarity Assessment Technique for Effective Grouping of Documents, Information Sciences, Elsevier, vol. 311, pp. 149-162, 2015. 

Tanmay Basu and C. A. Murthy. A Similarity based Supervised Decision Rule for Qualitative Improvement of Text Categorization, Fundamenta Informaticae, IOS Press, vol. 141(4), pp. 275-295, 2015

Tanmay Basu and C. A. Murthy. Towards Enriching the Quality of k-Nearest Neighbor Decision Rule for Document Classification, International Journal of Machine Learning and Cybernetics, Springer, vol. 5(6), pp. 897-905, 2014. 

Tanmay Basu and C. A. Murthy. CUES: A New Approach for Document Clustering, Journal of Pattern Recognition Research (JPRR), vol. 8(1), pp. 66-84, 2013. 

Tanmay Basu and C. A. Murthy. Effective Text Classification by a Supervised Feature Selection Approach, in Proceedings of the IEEE International Conference on Data Mining (ICDM), pp. 918-925, Belgium, 2012. 

Tanmay Basu, C. A. Murthy and H. Chakraborty, A Tweak on K Nearest Neighbour Decision Rule, in Proceedings of the International Conference on Image Processing, Computer Vision, and Pattern Recognition (IPCV), pp. 929-935, USA, 2012.

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