1.Hariharan. P1, Sasikaladevi. N1, *, Murugappan. S2, Mohamed E.H. Chowdhury3, “ResTANet: A Deep Residual Neural Architecture for Tamil Handwritten Character Recognition”, IEEE Access. https:// DOI.10.1109/ACCESS.2025.3632872.  [Published]-SCI-E. (IF-3.6)

2.Hariharan. P1, Sasikaladevi. N1, *, Rengarajan Amirtharajan 2, “Deep Inception Neural Network with Residual Connections for Tamil Handwritten Character Recognition” Scientific Reports.  https://doi.org/10.1038/s41598-026-36330-7 [Published]-SCI-E. (IF-3.9)

Patents

Hariharan. P1, Sasikaladevi. N1, *, “Olai suvadi Reader” [Published: 202541071850] Indian Patent

Nil

Participated

● Artificial Intelligence/Machine Learning FDP In IIT –Madras. -PALS Innovah- 2022 

● FDP in Full stack development (sunstone TECH)-MIT – Chennai-2022 

● Workshop in cyber security –Securam fox Tech- Pune -2023 

● Workshop in Passive income through web technology. Chennai-2023 

● Workshop on Advancements & Research Directions of 5G Enabled Industrial Internet of Things-SASTRA Deemed University-Thanjavur-2023 

● Artificial Intelligence for Machine vision and Medical Imaging Application-IIT Warangal 2025. 

● International Conference Computational Intelligence-Kristu Jayath College-Bengaluru-2024 

● KaniTamil24 Conference-Nandambakam, Trade Centre-Chennai-2024 

Teaching Experience

• Assistant Professor, School of Computing , SRM Institute of Science and Technology, Tiruchirappalli (Present)
• Assistant Professor, Department of Information Technology, M.A.M College of Engineering and Technology, Trichy-Tamilnadu (March 2022 – March 2023).

Industry Experience

• Trainee Engineer -Axxonet - Bengaluru-India. (Mar 2014 – Apr 2015)   
• Software Developer – Sanspaeriel Soft Solution- Chennai-India. – (May 2015 – Mar 2017).
• Consultant – Emril Service LLC – Dubai-United Arab Emirates. (Feb 2018 – Mar 2020).

Research Experience: Project Associate (Apr 2023 – Mar 2025)

SASTRA Deemed University, Thanjavur, Tamil Nadu, India.

Worked as a Project Associate on a Government of Tamil Nadu–funded research project supported by the Tamil Virtual Academy (TVA), focusing on the digitization and recognition of ancient Tamil palm leaf manuscripts. As a major outcome of the project, developed a user-friendly application named Olai Suvadi Reader to facilitate easy reading, interpretation, and digital access to palm leaf manuscripts for researchers and the general public.

NIL

NIL