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Aishik Konwer


5th year PhD candidate
Department of Computer Science, Stony Brook University
Email: akonwer@cs.stonybrook.edu, Mobile: +1-6317471244
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I am Research Assistant at Imagine lab under the supervision of Prof. Prateek Prasanna.

Prior to joining SBU, I did my Bachelor in Technology (Btech) from the Institute of Engineering & Management, Kolkata (India) majoring in Electronics and Communication Engineering. During undergraduate, I had particularly worked on research problems like Scene Text Detection and Recognition, Handwriting Recognition, Writer Identification, Script Identification.

Research Interest: My research interests lie in computer vision and medical image analysis. In the recent past, my focus was on applying deep learning techniques to build predictive and prognostic models in various clinical domains. Currently I am working on designing efficient algorithms that can handle limited annotations and/or missing modalities. I am also interested in application of multi-modal data for medical vision. One such example is vision-language models.

Coursework: Data Science, Machine Learning, Computer Vision, HCI, Data Visualization

          I am currently on the job market for Research Scientist roles.

 

Recent News

  • NEW 06/2024: 1 paper accepted to MICCAI
  • NEW 08/2023: 1 paper accepted to MICCAI workshop
  • NEW 07/2023: 1 paper accepted to ICCV
  • NEW 07/2022: 1 abstract accepted to RSNA
  • NEW 03/2022: 1 paper accepted to CVPR
  • 10/2021: 1 paper accepted to SPIE Medical Imaging
  • 03/2021: 1 paper accepted to MIDL
  • 10/2019: 1 paper accepted to ICASSP
  • 04/2018: 3 papers accepted to ICPR
  • 08/2018: 1 paper accepted to Pattern Recognition
  • 05/2017: 1 paper accepted to ACPR
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    Education

    Stony Brook University, USA
    PhD in Computer Science & Engineering
    Aug 2019 - June 2024

    Institute of Engineering & Management, India
    Btech in Electronics and Communication Engineering
    Aug 2013 - June 2017

    Research Experiences

    Indian Statistical Institute, Kolkata, India
    Under Prof. Umapada Pal
    Sept 2016 - Sept 2017 [Certificate]

    Indian Institute of Technology Roorkee, India
    Under Prof. Partha Pratim Roy
    Sept 2017 - March 2018 [Certificate]

    Industry

    GE Healthcare, USA
    AI Scientist Intern
    May 2024 - August 2024
    SRI International, USA
    Deep Learning Research Intern
    May 2023 - August 2023
    Roche, USA
    Advanced ML Research Intern
    May 2022 - August 2022
    Cognizant, India
    Datawarehouse developer
    Dec 2017 - July 2019

     

    Selected Research

    MetaStain: Stain-generalizable Meta-learning for Cell Segmentation and Classification with Limited Exemplars
    Aishik Konwer, Prateek Prasanna
    International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2024.

    Enhancing Modality-Agnostic Representations via Meta-Learning for Brain Tumor Segmentation
    Aishik Konwer, Xiaoling Hu, Joseph Bae, Xuan Xu, Chao Chen, Prateek Prasanna
    IEEE International Conference on Computer Vision (ICCV), 2023.
    [paper]

    Temporal Context Matters: Enhancing Single Image Prediction with Disease Progression Representations
    Aishik Konwer, Xuan Xu, Joseph Bae, Chao Chen, Prateek Prasanna
    IEEE Conference on Computer Vision and Pattern Recognition Conference (CVPR), 2022.
    [paper]

    Attention-based Multi-scale Gated Recurrent Encoder with Novel Correlation Loss for COVID-19 Progression Prediction
    Aishik Konwer, Joseph Bae, Gagandeep Singh, Rishabh Gattu, Syed Ali, Jeremy Green, Tej Phatak, Prateek Prasanna
    International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2021.
    [paper]

    Predicting COVID-19 Lung Infiltrate Progression on Chest Radiographs Using Spatio-temporal LSTM based Encoder-Decoder Network
    Aishik Konwer, Joseph Bae, Gagandeep Singh, Rishabh Gattu, Syed Ali, Jeremy Green, Tej Phatak, Amit Gupta, Chao Chen, Joel Saltz, Prateek Prasanna
    Medical Imaging with Deep Learning (MIDL), 2021.
    [paper]

    Facial Micro-Expression Spotting and Recognition using Time Contrasted Feature with Visual Memory
    Sauradip Nag , Ayan Kumar Bhunia , Aishik Konwer, Partha Pratim Roy
    International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019.
    [paper], [arXiv]

    Script identification in natural scene image and video frames using an attention based Convolutional-LSTM network
    Ankan Kumar Bhunia, Aishik Konwer, Abir Bhowmick, Ayan Kumar Bhunia, Partha Pratim Roy
    Pattern Recognition, 2019. [I.F. 3.962]
    [paper], [arXiv], [GitHub]

    Word Level Font-to-Font Image Translation using Convolutional Recurrent Generative Adversarial Networks
    Ankan Kumar Bhunia, Ayan Kumar Bhunia, Prithaj Banerjee, Aishik Konwer, Abir Bhowmick, Partha Pratim Roy, Umapada Pal
    International Conference on Pattern Recognition (ICPR), 2018
    [paper], [arXiv]

    Staff line Removal using Generative Adversarial Networks
    Aishik Konwer , Ayan Kumar Bhunia, Abir Bhowmick, Ankan Kumar Bhunia, Prithaj Banerjee, Partha Pratim Roy, Umapada Pal
    International Conference on Pattern Recognition (ICPR), 2018 (Oral)
    [paper], [arXiv]

    Handwriting Trajectory Recovery using End-to-End Deep Encoder-Decoder Network
    Ayan Kumar Bhunia, Abir Bhowmick, Ankan Kumar Bhunia, Aishik Konwer, Prithaj Banerjee, Partha Pratim Roy, Umapada Pal
    International Conference on Pattern Recognition (ICPR), 2018
    [paper], [arXiv]

    A New GVF Arrow Pattern for Character Segmentation from Double Line License Plate Images
    Palaiahnakote Shivakumara, Aishik Konwer, Abir Bhowmick, Vijeta Khare, Umapada Pal, Tong Lu
    4th Asian Conference on Pattern Recognition (ACPR),, 2017.
    [paper]