top of page

 Hey There !

This is Subhankar Sen.

Home: Welcome

News !🥳

[ 28th Oct 2021] : "Fuzzy Ensemble of Deep Learning Models using Choquet Fuzzy Integral, Coalition Game and Information Theory for Breast Cancer Histology Classification" got accepted at Expert Systems With Applications (ESWA), Elsevier (Impact factor:  6.954)

[ 1st Sept 2021 ] : "Choquet Integral and Coalition Game based Ensemble of Deep Learning Models for COVID-19 Screening from Chest X-Ray Images" got accepted at the reputed IEEE Journal for Biomedical and Health Informatics (JBHI) (Impact Factor:5.772)

[ 31st Aug 2021] : "A Two-tier Feature Selection Method using Coalition Game and Nystrom Sampling for Screening COVID-19 from Chest X-Ray Images" got accepted in Journal of Ambient Intelligence and Humanized Computing, Springer (Impact factor- 7.104)

Home: Text
ValuableAccomplishedKangaroo-small.gif

A Tad Bit About Me

Hailing from Kolkata, India, I am a Computer Science Engineering sophomore student at Manipal University, Jaipur, and will be graduating in 2023. I take a keen interest and have good hands-on experience in the field of Deep Learning, Machine Learning, Computer Vision, Image and Video Processing, and Multimodal Analytics. My undergraduate research experience to date encompasses fields such as AI in Healthcare and Biomedical Image Processing, Representation Learning, Human Action Recognition, Zero-Shot Learning, and Generative Modeling. And I am deeply intrigued to delve deep into new and unexplored fields of problem-solving using AI and thereby enhance my learning curve.

I'm a fan of Slow Science 

Home: About Me
17865466849767813.jpg

Experience

Work History

As a professional in my field, I’ve had the opportunity to hold a variety of roles in many different research institutes and R&D companies throughout the years. Take a look below to learn more about my background and experience.

Home: Experience
download_edited.jpg

Computer Vision Research Intern at CVIT Laboratory, IIIT Hyderabad, India

May 2021- Present

I am currently working in the field of generalized zero shot learning using RGB images and videos for image classification and human action recognition.


Datasets used : Caltech-UCSD Birds (CUB) , Animals with Attributes (AwA), Oxford Flower (FLO) image datasets , UCF101 and HMDB51 action recogntion datasets


Research Supervisor: Ravi Kiran Sarvadevabhatla, Dept of CSE, Assisstant Professor at IIIT Hyderabad

74314631.jpg

 Head of Research at Randomize MUJ

May 2021- Present

My roles and responsibility include:

  • ​Building a conducive research environment and enthusiasm within fellow students of our university 

  • Organizing research conclaves and seminars as a bridge between students and professionals of notable industrial and research background 

  • Organizing research and project building workshops and guiding the students for research publications

  • Organizing research conferences and paper presentation events in the university premises.

jadavpur-university-logo_edited.jpg

Undergraduate Research Assistant at Jadavpur University, Kolkata

July 2020 - Present

  1.  As an intern, my domain of research was biomedical image processing and analysis. I worked on a project implementation which dealt with breast cancer classification using deep learning and ensemble techniques.


Journal Paper – “Fuzzy Ensemble of Deep Learning Models using Coalition Game and Information Theory for Breast Cancer Histology Classification”, submitted at Expert Systems and Application, Elsevier ( Impact factor: 6.954) (paper under review).


Research Supervisor – Dr. Ram Sarkar, Dept of CSE, Professor at Jadavpur University, India


After I completed my tenure as an intern, i joined as an RA at CMATER Lab, working for a much-prolonged duration as a deep learning and computer vision researcher, my areas of research focus in the field of biomedical imaging, Explainable AI, and human action recognition. I worked on a couple of research projects and publications in the same, which shall get published soon. I worked for two projects in the field of COVID-19 screening using deep learning, ensemble learning, and feature selection methods.


Journal Papers:

  • “Choquet Integral and Coalition Game-based Ensemble of Deep Learning Models for COVID-19 Screening from Chest X-ray Images”, submitted at IEEE Journal for Biomedical and Health Informatics (Impact Factor: 5.772) (paper under review)


  • “A Two-tier Feature Selection Method using Coalition Game and Nystrom Sampling for Screening COVID-19 from Chest X-Ray Images” , submitted at Journal of Ambient Intelligence and Humanized Computing (Impact factor : 7.104) (paper under review)



Other projects : Spatio-temporal geometric feature extraction and CNN-based classification for 3D skeleton action recognition


Research Supervisor : Dr. Ram Sarkar, Dept of CSE, Professor at Jadavpur University,India

edu_edited.jpg

Educational Qualification

muj.jpg

Manipal University Jaipur

Computer Science and Engineering 

Current CGPA: 9.235/10.00

2019 – present

ffs.jpeg

The Future Foundation School

Class 12(ISC 2019 ) : 92.75% aggregate(95% overall in PCM with computer science)
Class 10 (ICSE 2017): 97% aggregate

2005-2019

Home: Education

Skills

Technical Skills

Machine Learning, Deep Learning, Computer Vision, Image Processing

tech.jpg
alng.png

Languages

 Python, C, C++, Java, MATLAB, Octave GNU, HTML, CSS, LaTeX

Frameworks proficient in

Tensorflow, Keras, Pytorch, OpenCV, Scikit-learn

skills_edited_edited_edited.jpg
Home: Skills

My Projects

Work Portfolio

covid.jpg

A Two-tier Feature Selection Method using Coalition Game and Nystrom Sampling for Screening COVID-19 from Chest X-Ray Images

A novel two-tier feature selection method, which increases the accuracy of the overall classification model used for screening COVID-19 CXRs. We have used CUR decomposition and Nystrom sampling to further reduce the feature space. To check the efficacy of this two-tier feature selection method, we have applied it to the features extracted by three standard deep learning models, namely VGG16, Xception and InceptionV3, where the features have been extracted from the CXR images of COVID-19 datasets.

breast.png

 Breast Cancer Histology Classification

A Computer-Aided Diagnosis(CAD) system approach to perform 4-class classification of breast cancer histology images(benign, in-situ,invasive,normal).

eureka.png

Eureka

Healthcare+AI app
A unified health care platform to connect patients and doctors.
It includes features of prediction of breast cancer and pneunomia and also patients
can know the health status of their heart

skel.gif

Spatio-temporal geometric feature extraction and CNN-based classification for 3D skeleton action recognition

(project currently in the private repository)

Home: Projects
870dcd206804c9e1f9d1ee74640c7ac9.png

Community Service

Lending a Helping Hand

No matter how busy things get, I believe in making time to give back and lend a helping hand to those in need. Below are some of the groups and activities I’m regularly involved with, and the role I’ve played in each. Selfless service is the path towards salvation🌺

Home: Volunteer Work
covidmuj.PNG

April 2021

Team lead @ COVID RELIEF MUJ

Our college team has prepared a verified and reliable Pan-India Compilation by clubbing all the good and verified pan India covid resources which were scattered online. This has helped several people till now when the second wave of COVID-19 pandemic is ravaging across the nation, taking toll over several lives. Serving all your emergency requirements. Has recieved an overwhelming outreach till now !!

What we are doing :

Our MUJ relief team has worked in three prime areas during such a crisis : 1) covid resource compilation, 2) one-to-one support team catering individuals , 3) making our own useful website/apps so that people may benefit from them.

▪️Collaborated with Indian Student Associations at Carnegie Mellon University(CMU), Oxford, UC Berkeley, and Jadavpur University Kolkata for a joint COVID India Endeavor

July 2021

MUJ Student Action for COVID Relief in India

"Life engenders life. Energy creates energy. It is by spending oneself that one becomes rich.”

😔 Thousands of people died, lost their dear ones, and their livelihoods. These people are starving for food and struggling through these tough times. 

The second wave sheered the course of the pandemic, leading to devastation.

It's stormy now but rain doesn't last forever, 
Giving is the greatest act of grace :)
Let's lend a helping hand and stand as unity for humanity 🤝🏻😇

❄️ MUJ ACM Student Chapter in collaboration with DonateKart, Aperture, IEEE SB MUJ, Coreografia, Cinefilia and MUJ Covid Relief Group calls for a donation drive on the DonateKart platform.

❇️The team is giving fundamental clinical and non-clinical supplies, food medicines, etc to assist the ones who need it.



Started our own university fundraiser for providing relief in the form of food and essential groceries to low wage-earners and people below the poverty line in India

hqdefault.jpg

June 2021

Volunteer @ Isha Foundation

Currently, an e-media volunteer and will join Sadhguru's Isha Centre as an ashram volunteer after the pandemic subsides. Pursuing my spiritual path and guiding the society towards a spiritually enlightened nation and world at large🌺🙏

download.png

Aug 2019

Fundraising Volunteer and Bake Sale Organizer

Gramiksha is an NGO formed by students for the students. We aim to educate people in villages & promote education among poverty ridden & ignorant sector 

Being a part of Gramiksha at Manipal University Jaipur, we hosted a fundraising drive by organizing a Bake Sale in 2019.

The purpose was to collect voluntary donations from people at various tourist locations of Jaipur like the Jal Mahal and Amer fort. In return for the donations, the people were given a muffin as a token of appreciation. The motive was to raise funds for the education of underprivileged children.

logo4_edited.png

Nov 2019

Hospitality Manager for Blood Donation Camp 2019

A blood donation camp was organized in Manipal University Jaipur on 15-11-2019 from 08:00 AM to 6:00 PM under the banner of Rotract-Green Club with a vision of providing red support to the needy people and social welfare. The total units of 1703 were collected from student, teaching and non-teaching staff of Manipal University Jaipur. Prof.(Dr.) Sandeep Joshi event coordinator organized the event with the support from students volunteers and faculty members. The venue of the event was the Old food court. A team of doctors and nurses from the 15 different hospitals had come. President Prof. (Dr.) G.K Prabhu inaugurated the Camp. Blood donation by President Prof. (Dr.) G.K. Prabhu was an encouraging moment for all. In this camp, the overwhelming number of volunteers of Manipal University Jaipur has participated with Vivacity. Camp was duly appreciated by hospitals that were present there.

cvv.jpg

"In research, without sheer passion and dedication, we all will look like overworking brainy clerks. The love that kindles the urge of giving the world something new,novel and groundbreaking is our driving fuel !"

~Yours truly(Subhankar Sen)

Home: Quote
Organized Desk

Say Hello !

Excited For a Collaboration or a Cup of Coffee ? Feel free to contact me

(+91)9836987095

  • Instagram
  • LinkedIn
  • Facebook
  • Twitter

Thanks for submitting!

Home: Contact
bottom of page