Deya Chatterjee

I am a CS undergraduate currently in my final year (7th semester) at SRM Institute of Science and Technology, Chennai, India. My present academic interests are Machine Learning, Deep Learning and NLP, but I am also looking forward to applying these in other domains such as biology or social science. I work towards deploying novel AI models to solve real and complex problems that affect the world. I am also an impassioned advocate of women in CS (and more generally, for inclusion and diversity in STEM), an United Nations volunteer, and involved in several other outreach activities.

Presently, I am a student researcher at SRM Deep Learning Research Lab, where we experiment on varied deep learning projects as a team (currently working on autonomous lane-making). This summer (Summer 2019), I am interning with Software Engineering Research Centre, IIIT-Hyderabad. In Summer 2018, I was selected among a few to work as a research intern at IIIT Bangalore where my research was on computational sustainability and sustainable computing under Dr. Shrisha Rao. I've also completed a research internship on handwriting recognition at the Computer Vision and Pattern Recognition Unit in Indian Statistical Unit, Kolkata in Winter 2017. Additionally, I have worked shortly as a data scientist applying convolutional neural nets and capsule nets to leukemia detection at AI Without Borders.

Email  /  CV  /  Github  /  LinkedIn  /  Kaggle

Research Interests

My research interests are computer vision, AI, machine learning, deep learning and NLP. Much of my research is about leveraging AI in healthcare, especially with respect to cancer surveillance. That, along with adversarial machine learning & the idea of applying AI to the broad aspect of security are two of the topics I am presently most interested in. Moreover, any relevant problem that utilizes AI for the scope of a different field, such as the social sciences or biological sciences fascinates me. I have also worked on computational sustainability, and diverse side projects and course projects.



  • Artificial Intelligence Policy: Need Aggressive Development with Prudent Regulations
    Shrisha Rao, Deya Chatterjee
    Guest Editorial in Current Science (Vol. 115, No. 6), Sep. 2018.
    [PDF] [Academia]
  • The Rise of Deep Learning in Radiology: An Overview of Recent Research
    Deya Chatterjee, P. Saranya
    International Journal for Research in Applied Science and Engineering Technology, Volume 7, Issue VI, June 2019. ISSN : 2321-9653

Under review

These are completed papers, currently submitted to various journals and under review.
  • Computational Sustainability: A Socio-Technical Perspective
    Deya Chatterjee, Shrisha Rao
    Submitted and under review in ACM CSUR (as of Jun. 2019).

  • A Review of Pathology Report Based Cancer Diagnosing System using Intelligent Techniques
    Deya Chatterjee, Radha R, Sasikala E, Prakash M
    Submitted and under review in International Journal of Fuzzy Systems, Springer (as of Jun. 2019).

Work-in-progress papers

Soon to be submitted and/or published.
  • Upcoming paper on customer satisfaction prediction using deep learning
    Deya Chatterjee +2.
  • Upcoming paper on integration of cloud computing and machine learning from the perspective of reliability and security.
    Deya Chatterjee +1.
Selected Projects

Customer Satisfaction Prediction using Machine Learning and Statistical Methods
Deya Chatterjee +2 (will update soon)

Abstract | Github

Lung Cancer Detection using Deep Learning
Advised by: Dr. G. Niranjana

Abstract | Github

Computational Sustainability: A Socio-Technical Perspective
Advised by: Dr. Shrisha Rao,

Info | Abstract

Online Handwriting Recognition
Project and internship undertaken at: CVPR Unit, ISI Kolkata

Abstract | Github

Information Retrieval from Cancer Pathology Reports
Advised by: Prof. R. Radha

Abstract | Github


Papers presented

  • The rise of deep learning in radiology: an overview of recent research
    P. Saranya, Deya Chatterjee
    Presented at International Conference on Internet of Things (ICIoT), Mar. 2019, Chennai.


  • ACM All India Celebration of Women in Computing conference (AICWIC), Sep. 2017.

Undergraduate Coursework
  • Data Structures & Algorithms
  • Object Oriented Programming in C++
  • Object Oriented Programming in Java
  • Program Design and Development with C
  • Digital System Design
  • Computer Organization & Architecture
  • Microprocessors and Microcontrollers
  • Algorithms - Design & Analysis
  • Calculus
  • Probability & Queuing Theory
  • Discrete Mathematics
Online Coursework (Coursera)
  • Deep Learning Specialization
  • Neural Networks and Deep Learning
  • Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
  • Structuring Machine Learning Projects
  • Convolutional Neural Networks
  • Sequence Models
  • Machine Learning (Prof. Andrew Ng.)
  • Cryptography
  • Social and Economic Networks: Models and Analysis

Last Updated: June 27, 2019
Template credits: Jon Barron
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