COGNITIVE Applications

Research Lab

About us

CARL (Cognitive Applications Research Lab) is an independent student-run Research and Development Lab, started in SRM IST. CARL offers one a platform to enhance and nurture one's research acumen and development abilities.
By bridging the gap between students and academia, we not only make research easily accessible for everyone but also encourage students to write their own papers.


Research Papers

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CORONA-19 NET: Transfer Learning Approach for Automatic Classification of Coronavirus Infections in Chest Radiographs

S Sharma, S Ghose, S Datta, C Malathy,
M Gayathri, M Prabhakaran

International Conference on Image Processing and Capsule Networks
526 - 534, 2020

Randomized Fast No-Loss Expert System to play Tic Tac Toe like a Human.

Aditya Jyoti Paul

Cognitive Computation and Systems
IET Journal

Rethinking Generalization

Rethinking Generalization in American Sign Language Prediction for Edge Devices with Extremely Low Memory Footprint

Aditya Jyoti Paul, Puranjay Mohan,
Stuti Sehgal

International Conference on Recent Advances in Intelligent Computational Systems
IEEE
Under Review

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An efficient analysis of the Behavior of 1D Chaotic Maps using 0-1 Test and Three-State Test

Joan S. Muthu, Aditya Jyoti Paul, Murali P.

International Conference on Recent Advances in Intelligent Computational Systems
IEEE
Under Review

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An Adaptive-Selective Image Encryption with Orthogonal Polynomials, Chaos, LU decomposition and Square-wave Shuffling

Murali P., Aditya Jyoti Paul, Joan S. Muthu

Journal of Ambient Intelligence and Humanized Computing
Springer
Under Review

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Domain Flexible, Selective Image Encryption with Edge Extracted ROI Based on Genetic Operations, Chaos, Square-wave Diffusion and Orthogonal Polynomials Transformation

Murali P., Niranjana G., Aditya Jyoti Paul, Joan S. Muthu

The Visual Computer
Springer
Under Review

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A Selective Block Cipher Image Encryption Algorithm based on Chen Hyperchaotic System, Modified 1D Logistic map and Square-wave Space-filling Curve

Aditya Jyoti Paul, Murali P., Joan S. Muthu

SN Computer Science
Springer
In Progress

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A Tiny CNN Architecture for Medical Face Mask Detection for Resource-Constrained Endpoints

Puranjay Mohan, Aditya Jyoti Paul, Abhay Chirania

International Conference on Electrical and Electronics Engineeringnternational Conference on Recent Advances in Intelligent Computational Systems
Springer
Accepted

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Recent Advances in Selective Image Encryption and its Indispensability due to COVID-19

Aditya Jyoti Paul

International Conference on Recent Advances in Intelligent Computational Systems
IEEE
Accepted

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DeepPixel: Making CV easier!

Smaranjit Ghose

Journal of Open Source
Under Review

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Using Transformers for Screening of Cervical Cancer

Smaranjit Ghose

Neoplasia Journal
Elsevier
Under Review

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Using Panopic Segmentation for Identification of Tuberculosis from Chest Radiographs

Smaranjit Ghose

International Conference on Advances in Computing and Data Sciences (ICACDS) 2021
Springer
Under Review

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Fully Automated identification of Orthopedic Knee Implants using Deep Learning

Smaranjit Ghose

Indian Journal of Orthopedics
Springer
Under Review

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SMART-CAM: An improved insight into interpretation of convolutional neural networks

Smaranjit Ghose, Suhrid Datta

International Conference on Image Processing (ICIP) 2021
IEEE
Under Review

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Automatic Facial Mask Detection using Deep Learning

Smaranjit Ghose, Suhrid Datta

International Conference on Information and Education (ICIEI 2020)
Springer
Accepted

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COVID CT NET: A transfer learning approach for identifying Corona Virus from CT Scans

Smaranjit Ghose, Suhrid Datta

International Conference on Computer Science, Information Technology (CSITEC 2020)nternational Conference on Smart Computing and Informatics (SCI-2020)
Springer
Accepted

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Plasmodium falciparum detection in cell images using Convolutional Neural Network

Smaranjit Ghose, Suhrid Datta, C. Malathy

International Conference on Smart Computing and Informatics (SCI-2020)
Springer
Published

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A Supervised learning approach to predict building energy consumption and projection of conservation efforts

Smaranjit Ghose, Arnab Datta

International Conference on Electricity Distribution
IET
Accepted

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Spotting Diabetic Retinopathy in fundus images using Deep Convolutional Neural Networks

Smaranjit Ghose, Suhrid Datta

International Journal of Research and Analytical Reviews
IRAR
Published

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Invasive Ductal Carcinoma Detection using Convolutional Neural Network

Smaranjit Ghose, Suhrid Datta

International Symposium on Signal and Image Processing 2020
Springer
Accepted

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Artificial Intelligence based Identification of Orthopedic Knee Implants

Smaranjit Ghose, Suhrid Datta

International Conference on Intelligent Sustainable Systems
IEEE
Accepted

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Web Application Penetration Testing and Vulnerability Assessment

Shivam Pal

National Conference on Advances in Electrical, Electronics & Computer Engineering
IRAJ
Under Review

Projects

Galaxy Clock

Rishabh Abhani

Made as part of flutter clock challenge. This project was designed entirely using flutter and all the assets were created during time of competition.

Zap

Rishabh Abhani

A Hyper-Casual 2D Game for android. Features difficulty modes, customizations, leaederboards, and more.

Alternate Reality

Ramansh Sharma

A character level Recurrent Neural Network trained on a variety of datasets comprising of numerous history and literature research papers and essays. Generates new text in the style of the author.

Sneaking Animals

Rishabh Abhani et al.

A Casual Mobile Game featuring 25 Levels and Customizations. It also has Third-party plugins like Google AdMob, GameAnanlytics and more.

Ally

Kavyapriya R, Stuti Seghal et al.

"Breaking the barriers, Coming together as one!" Our website, Ally, will bring a global impact on people's lives by bridging the gap that causes people to experience inequality on a daily scale. It is a common platform to chat, connect and be educated about inequality that can impact millions of lives.

WeCare.ai

Devangi Purkayastha et al.

"Serving through AI, One Step at a Time" Developed a contextual virtual assistant integrated with the main website to answer any query regarding breast cancer along with a state-of-the-art CNN architecture for Invasive Ductal Carcinoma identification by uploading the histopathology image.

Document Summarizer, NER and URL Checker

Devangi Purkayastha

A web app deployed on Streamlit, and made using Gensim, SpaCy and Sumy to summarize long text documents, analyze docs for named entities as well as check URLs.

Meet the Team

Aditya Jyoti Paul

Team Lead

Google Explore ML Facilitator | Facebook AI Scholar | GCI Mentor @Tensorflow | Google Assistant Dev | Researcher | Developer

Smaranjit Ghose

Project Development Lead

A quick thinker who believes in a pragmatic approach towards life. Apart from being adept at computer vision technology , Smaranjit has a penchant for street food and boxing!

Arpita Mallick

Public Relations Lead

Free spirited and fiercely independent, Arpita is passionate about creating an impact on the society. She loves to interact and is a huge David Dobrik fan

Rishabh

Rishabh Abhani

Project Development

A simple tech enthusiast who loves to explore new things and listen to music whenever possible.

Shivam Pal

Research

"Just another data analytics enthusiast , likes anime and drawing will always be there to help"

Ramansh Sharma

Research

Machine Learning Engineer at Omdena, collaborating to predict illegal dumpsites around the world in partnership with the TrashOut NGO. Fascinated by the machinations of deep learning and neural networks.

Shubhangi Singh

Research

Enthusiastic and goal-driven Cyber Security enthusiast with a zest for learning new things. Avid content writer and editor in conjunction with strong interpersonal skills. Equipped with excellent work ethics, I am a determined team player.

Jothivarshini S

Public Relations

A blogger who's honing my skills in research and filled with creativity.

Syed Farhan Ahmad

Research

Quantum & AI Research Intern, IBM || Microsoft Gold Student Ambassador || ECE Undergrad at RVCE

Puranjay Mohan

Research

Linux Kernel Developer | Edge Computing | Embedded Systems | TinyML | Open Source Contributor

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