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.
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.
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
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).
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.