Vaibhav RAJAN

Assistant Professor
Ph.D. (Computer Science, École Polytechnique Fédérale de Lausanne, Switzerland)
M.S. (Computer Science, École Polytechnique Fédérale de Lausanne, Switzerland)
B.E. (Computer Science, Birla Institute of Technology and Science, Pilani, India)
COM2-04-34
651 66737

http://www.comp.nus.edu.sg/~vaibhav

Research Areas

  • Data Science & Business Analytics
  • Healthcare Informatics

Research Interests

  • Modeling Heterogeneous Clinical and Genomic Data
  • Combined Data-Driven and Knowledge-Based Models
  • Deep Multi-View Learning Models and Algorithms
  • Deep Learning In Healthcare and Bioinformatics
  • Applications In Healthcare and Bioinformatics

Profile

Vaibhav Rajan is an Assistant Professor in the Department of Information Systems and Analytics at the School of Computing, National University of Singapore (NUS). Earlier, he was a Senior Research Scientist at Xerox Research where he led a project on Clinical Decision Support Systems for over four years. He has also worked as a consultant at Hewlett-Packard Labs and as Chief Data Scientist at Videoken (an education technology startup). Vaibhav Rajan received his PhD and Master’s degrees in Computer Science from the Swiss Federal Institute of Technology at Lausanne (EPFL), Switzerland in 2012 and 2008 respectively and his Bachelor’s degree in Computer Science from Birla Institute of Technology and Science (BITS), Pilani, India in 2004. His research interests include Machine Learning, Algorithm Design and their applications, primarily in Healthcare and Bioinformatics. He is a recipient of the ERS IASC Young Researchers Award 2014 given by European Regional Section (ERS) of the International Association for Statistical Computing (IASC). For more information, please visit: http://www.comp.nus.edu.sg/~vaibhav

Current Projects

  • Deep Multi-View Learning Methods for Cancer Drug Discovery
  • Models and Algorithms for Clinical Data Analysis

Selected Publications

  • "Gaussian Mixture Copulas for High-Dimensional Clustering and Dependency-based Subtyping", Siva Rajesh Kasa, Sakyajit Bhattacharya, Vaibhav Rajan, Bioinformatics btz599 (Oxford University Press)

  • "Deep Collective Matrix Factorization for Augmented Multi-View Learning", Ragunathan Mariappan, Vaibhav Rajan, Machine Learning (Springer), 2019, 1-26

  • "Context-Aware Sequential Recommendations with Stacked Recurrent Neural Networks", Rakkappan Lakshmanan, Vaibhav Rajan, The Web Conference (Formerly WWW2019 , San Francisco, USA

  • "Detecting Temporal Pattern Profiles from Smartphones for User Activity Analysis", Suparna Ghanvatkar, Vaibhav Rajan, Atreyi Kankanahalli, International Conference on Information Systems ICIS 2018, San Francisco, USA

  • "Extractive Summarization with SWAP-NET: Sentences and Words from Alternating Pointer Networks", Aishwarya Jadhav and Vaibhav Rajan, 56th Annual Meeting of the Association for Computational Linguistics ACL 2018, Melbourne, Australia

  • "Vine Copulas for Mixed Data: Multi-view Clustering for Mixed Data Beyond Meta-Gaussian Dependencies", Lavanya Sita Tekumalla, Vaibhav Rajan, Chiranjib Bhattacharyya, Machine Learning (Springer), 2017, 1-27

  • "ICU Mortality Prediction: A Classification Algorithm for Imbalanced Datasets", Sakyajit Bhattacharya, Vaibhav Rajan, Harsh Shrivastava, 31st AAAI Conference on Artificial Intelligence AAAI 2017, San Francisco, USA

  • "Dependency Clustering of Mixed Data with Gaussian Mixture Copulas", Vaibhav Rajan, Sakyajit Bhattacharya, 25th International Joint Conference on Artificial Intelligence IJCAI 2016, New York, USA

Awards & Honours

  • ERS IASC Young Researchers Award 2014 given by European Regional Section (ERS) of the International Association for Statistical Computing (IASC)

Teaching (2019/2020)

  • IS4242: Intelligent Systems and Techniques
  • IS6103: Design Science Research in Information Systems