WINNER - MAKEATHONS AND HACKATHONS

2018 - 2019

• First place of a Makeathon conducted by Valeo - Building an AI-enabled cooling technology for high-frequency voltage converter (58V to 42V).

• First place of a hackathon conducted by ACM and Mozilla - An automated smart security system which recognizes the known people and also criminals. Autonomous criminal tracking was also done and suitable alerts were sent to the police.

• Won Rs 20K at Hackhub - 24 hours hackathon conducted by IEEE Computer Society - Predicting the damage level of the buildings after the Earthquake using CNN with residual blocks. Suitable mobile app and mail alerts to police, ambulance and fire service were done.

RESEARCH WORKS

Jan 2018 - Present

Journal Papers:

​

1. Karthik, R., M. Hariharan, Sundar Anand, Priyanka Mathikshara, Annie Johnson, and R. Menaka. "Attention embedded residual CNN for disease detection in tomato leaves." Applied Soft Computing 86 (2020): 105933.

(https://www.sciencedirect.com/science/article/pii/S1568494619307148?dgcid=coauthor)

Impact factor: 5.472

​

2. Karthik, R., R. Menaka, Annie Johnson, and Sundar Anand. "Neuroimaging and Deep Learning for Brain Stroke Detection-A Review of Recent Advancements and Future Prospects." Computer Methods and Programs in Biomedicine (2020): 105728. 

(https://www.sciencedirect.com/science/article/abs/pii/S0169260720315613)

Impact Factor: 3.632

​

3. Biomedical Engineering Letters – Springer Journal

Paper Title:  Performance Evaluation of Deep Learning Models for COVID Detection from CT images

Status: Under. Review

Impact factor: 1.6

​

4. IEEE Communication Letters 

Paper Title: Multi-Path Based Privacy Leakage Avoidance Framework for IP Cameras

Status: Under Review

​

Conference research papers:

​

1. Anand, Sundar, et al. "Real-time GPS tracking using serverless architecture and ARM processor." 2019 11th International Conference on Communication Systems & Networks (COMSNETS). IEEE, 2019.

(https://ieeexplore.ieee.org/abstract/document/8711273)

2. Anand, Sundar, et al. "Low Power Real Time GPS Tracking Enabled with RTOS and Serverless Architecture." 2019 IEEE 4th International Conference on Computer and Communication Systems (ICCCS). IEEE, 2019.

(https://ieeexplore.ieee.org/abstract/document/8821738)

​

3. Anand, Sundar, and T. Jayavignesh. "An Efficient Mask Reduction Strategy to Optimize Storage and Computational Complexity in Routing Table Lookups." 2019 IEEE International Conference on Electrical, Computer and Communication Technologies (ICECCT). IEEE, 2019.

(https://ieeexplore.ieee.org/abstract/document/8868972)

​

4. Anand, Sundar, et al. “Image-Based Smart Surveillance and Remote Door Lock Switching System for Homes” 2019 Elsevier INTERNATIONAL CONFERENCE ON RECENT TRENDS IN ADVANCED COMPUTING 2019, ICRTAC 2019 (https://www.sciencedirect.com/science/article/pii/S1877050920300648?via%3Dihub)

​

5. Gnanaprakasam C., Anand S., Manoj Kumar R., Menaka R. (2021) Facial Expression Image Analysis to Classify High and Low Level ASD Kids Using Attention Mechanism Embedded Deep Learning Technique. In: Sengodan T., Murugappan M., Misra S. (eds) Advances in Electrical and Computer Technologies. Lecture Notes in Electrical Engineering, vol 711. Springer, Singapore. https://doi.org/10.1007/978-981-15-9019-1_49 (https://link.springer.com/chapter/10.1007/978-981-15-9019-1_49#citeas)