Short Bio

Aparajita completed her Ph.D. in Computer Science and Machine Learning from Indian Statistical Institute in 2021. Her dissertation focussed on integrative clustering of multi-view data using graph approximation, subspace projection, and manifold learning-based approaches. Her research interests include machine learning and pattern recognition, computational biology, multi-omics data analysis, and optimization over Euclidean and non-Euclidean spaces. Currently, Aparajita is working on developing statistical methods to analyze single-cell RNA sequence data and integrating multi-omic data for the prediction of brain metastases and recurrence in lung cancer patients. My PhD dissertation is entitled Integrative Clustering of Multi-View Data: Subspace Clustering, Graph Approximation, to Manifold Learning. Link to my thesis

Recent Works

Multi-Manifold Optimization for Multi-View Subspace Clustering

IEEE Transactions on Neural Networks and Learning Systems, 2021

Selective Update of Relevant Eigenspaces for Integrative Clustering of Multimodal Data

IEEE Transactions on Cybernetics, 2020

Convex combination of Approximate graph Laplacians

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019

Low-Rank Joint Subspace Construction for Cancer Subtype Discovery

IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2019

Publications

Accepted/Published papers

Machine Learning
  1. A. Khan and P. Maji, Multi-Manifold Optimization for Multi-View Subspace Clustering, in IEEE Transactions on Neural Networks and Learning Systems, pp. 1--13, 2021, doi: 10.1109/TNNLS.2021.3054789. [Supplementary material , GitHub repository]
  2. A. Khan and P. Maji, Selective Update of Relevant Eigenspaces for Integrative Clustering of Multimodal Data, in IEEE Transactions on Cybernetics, pp. 1--13, 2020, doi: 10.1109/TCYB.2020.2990112. [Supplementary material , Appendix, GitHub repository]
  3. A. Khan and P. Maji, Approximate Graph Laplacians for Multimodal Data Clustering, in IEEE Transactions on Pattern Analysis and Machine Intelligence, pp. 1--16, 2019, doi: 10.1109/TPAMI.2019.2945574. [Supplementary material , GitHub repository]
  4. A. Khan and P. Maji, Low-Rank Joint Subspace Construction for Cancer Subtype Discovery, in IEEE/ACM Transactions on Computational Biology and Bioinformatics, pp. 1--13, 2019, doi: 10.1109/TCBB.2019.2894635. [Supplementary material , GitHub repository]
Other publications
  1. A. Khan and P. Maji, Principal Subspace Updation for Integrative Clustering of Multimodal Omics Data, in Proc. 3rd International Conference on Computational Intelligence and Networks (CINE), Odisha, 2017, pp. 99-104, doi: 10.1109/CINE.2017.14. [Best Paper Award, Slides]
  2. C. Chaudhuri, A. Chaudhuri and A. Khan, Authentication of Offline Signatures Based on Central Tendency of Features and Dynamic Time Warping Values Preserved for Genuine Cases, in Proc. 2014 Fourth International Conference of Emerging Applications of Information Technology, Kolkata, 2014, pp. 256-261, doi: 10.1109/EAIT.2014.38.
  3. P. K. Singh, A. Khan, R. Sarkar and M. Nasipur, A Texture Based Approach to Word-Level Script Identification from Multi-script Handwritten Documents, in Proc. 2014 International Conference on Computational Intelligence and Communication Networks, Bhopal, 2014, pp. 228-232, doi: 10.1109/CICN.2014.604.
  4. S. Bhattacharyya, A. Khan, I. Banerjee and G. Sanyal, A Robust Image Steganography Method Using PMM in Bit Plane Domain, in International Journal of Computer and Information Engineering, 8(9), pp. 1712--1726, 2014, doi: 10.5281/zenodo.1337857.
  5. S. Bhattacharyya, A. Khan, G. Sanyal, DCT Difference Modulation(DCTDM) Image Steganography, in International Journal of Information and Network Security, 3(1), pp. 40--63, 2014.
  6. S. Bhattacharyya, A. Khan, A. Nandi, A. Dasmalakar, S. Roy and G. Sanyal, Pixel mapping method (PMM) based bit plane complexity segmentation (BPCS) steganography, in Proc. 2011 World Congress on Information and Communication Technologies, Mumbai, 2011, pp. 36-41, doi: 10.1109/WICT.2011.6141214.

Academic publications

  1. PhD dissertation Integrative Clustering of Multi-View Data: Subspace Clustering, Graph Approximation, to Manifold Learning under the supervision of Prof. Pradipta Maji, Machine INtelligence Unit, Indian Statistical Institute, Kolkata, India, 2021. PDF      Slides
  2. M. Tech thesis Gene Clustering and Construction of Intra-Cluster Gene Regulatory Network, under supervision of Professor Mita Nasipuri, Jadavpur Univeristy, Kolkata, India, 2015. Slides

Tutorial/Talks

  1. A. Khan, Spectral Clustering, in One Week Online Workshop on Statistics and Machine Learning in Practice at Department of Statistics, Brahmananda Keshab Chandra College, Kolkata, India, July 29, 2020.
  2. A. Khan and A. Mandal, Supervised Feature Selection, Principal Component Analysis, and Linear Discriminant Analysis, in Short Term Course on Machine Learning for Practitioners at Indian Statistical Institute, Kolkata, India, November 19, 2019. Jupyter Notebooks
  3. A. Khan, "Low-Rank Joint Subspace Construction for Multimodal Data Clustering", in Lightening Talk session in memory of Professor C. A. Murthy, at Machine Intelligence Unit, Indian Statistical Institute, Kolkata, India, March 14, 2019. Slides
  4. Teaching Assistant in Data and File Structures Laboratory MTech (CS): First year, First semester, offered by Professor Mandar Mitra and Malay Bhattacharyya, Indian Statistical Institute, Kolkata, India, July -December, 2018.

Education

Awards and Distinctions

  1. First Prize in IDRBT Doctoral Colloquium for the paper entitled “Joint Eigenspace Approximation for Integrative Clustering of Multi-Omics Data”, December 07-08, 2020.
  2. Best Paper Award for "Principal Subspace Updation for Integrative Clustering of Multimodal Omics Data" in the Proceedings of 3rd International Conference on Computational Intelligence and Networks (CINE 2017), Bhubaneswar, India, pp. 99--104, October 2017.
  3. University Gold Medal from Jadavpur University, India, for standing First in Master of Technology in Computer Technology, 2015.

Experience and Certifications

  1. Project Fellow in the project entitled, "Case Based Reasoning for Signature Authentication to Prevent Fradulent Transaction", under Dr. Chitrita Chaudhuri, Department of Computer Science and Engineering, Jadavpur University, under the scheme "University with Potential for Excellence - Phase II", funded by the University Grants Commission, December 2013 - June 2015.
  2. Certification in the course "Machine Learning", offered by Professor Andrew Ng , Stanford University, online through coursera .
    Certification ID: 95LU9GADFVWX .
  3. Organized " Workshop on Mathematical and Statistical Foundations for Machine Learning Today" in association with ACM Student Chapter, ISI Kolkata and Indian Statistical Institute, December 20 - 22, 2016.

Memberships (Professional Bodies)

  1. Student Member, Association of Computing Machinery (ACM), since 2016. (Membership No.: 2313449)
  2. Life Member, Indian Science Congress Association (ISCA), since 2018. (Membership No.: L35238)