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.
S Sharma, S Ghose, S Datta, C Malathy,
M Gayathri, M
Prabhakaran
International Conference on Image Processing and Capsule Networks
526 - 534, 2020
Aditya Jyoti Paul
Cognitive Computation and Systems
IET Journal
Aditya Jyoti Paul, Puranjay Mohan,
Stuti Sehgal
International Conference on Recent Advances in Intelligent
Computational Systems
IEEE
Under Review
Joan S. Muthu, Aditya Jyoti Paul, Murali P.
International Conference on Recent Advances in Intelligent
Computational Systems
IEEE
Under Review
Murali P., Aditya Jyoti Paul, Joan S. Muthu
Journal of Ambient Intelligence and Humanized Computing
Springer
Under Review
Murali P., Niranjana G., Aditya Jyoti Paul, Joan S. Muthu
The Visual Computer
Springer
Under Review
Aditya Jyoti Paul, Murali P., Joan S. Muthu
SN Computer Science
Springer
In Progress
Puranjay Mohan, Aditya Jyoti Paul, Abhay Chirania
International Conference on Electrical and Electronics Engineeringnternational Conference on Recent Advances
in Intelligent Computational Systems
Springer
Accepted
Aditya Jyoti Paul
International Conference on Recent Advances in Intelligent Computational Systems
IEEE
Accepted
Smaranjit Ghose
Journal of Open Source
Under Review
Smaranjit Ghose
Neoplasia Journal
Elsevier
Under Review
Smaranjit Ghose
International Conference on Advances in Computing and Data Sciences (ICACDS) 2021
Springer
Under Review
Smaranjit Ghose
Indian Journal of Orthopedics
Springer
Under Review
Smaranjit Ghose, Suhrid Datta
International Conference on Image Processing (ICIP) 2021
IEEE
Under Review
Smaranjit Ghose, Suhrid Datta
International Conference on Information and Education (ICIEI 2020)
Springer
Accepted
Smaranjit Ghose, Suhrid Datta
International Conference on Computer Science, Information Technology (CSITEC 2020)nternational Conference on
Smart Computing and Informatics (SCI-2020)
Springer
Accepted
Smaranjit Ghose, Suhrid Datta, C. Malathy
International Conference on Smart Computing and Informatics (SCI-2020)
Springer
Published
Smaranjit Ghose, Arnab Datta
International Conference on Electricity Distribution
IET
Accepted
Smaranjit Ghose, Suhrid Datta
International Journal of Research and Analytical Reviews
IRAR
Published
Smaranjit Ghose, Suhrid Datta
International Symposium on Signal and Image Processing 2020
Springer
Accepted
Smaranjit Ghose, Suhrid Datta
International Conference on Intelligent Sustainable Systems
IEEE
Accepted
Shivam Pal
National Conference on Advances in Electrical, Electronics &
Computer Engineering
IRAJ
Under Review
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.
Rishabh Abhani
A Hyper-Casual 2D Game for android. Features difficulty modes, customizations, leaederboards, and more.
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.
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.
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.
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.