Srinath Doss

Dr. Srinath Doss is the Professor and Dean in the Faculty of Engineering and Technology, Botho University, responsible for Botswana, Lesotho, Eswatini, Namibia and Ghana Campuses. He has previously worked with various reputed Engineering colleges in India, and with Garyounis University, Libya. He has written good number of books and more than 80 papers in International Journals and attended several prestigious conferences. His research interests include MANET, Information Security, Network Security and Cryptography, Artificial Intelligence, Cloud Computing and Wireless and Sensor Network. He serves as an editorial member and reviewer for reputed international journals, and an advisory member for various prestigious conference. Prof. Srinath is member of IAENG and Associate Member in UACEE.

Publications

Enhancing Steganography Through Deep Learning Approaches
Enhancing Steganography Through Deep Learning Approaches
Vijay Kumar, Chiranji Lal Chowdhary, Shakila Basheer, Srinath Doss, Sandeep Singh Sengar. © 2025. 300 pages.
In an era defined by digital connectivity, securing sensitive information against cyber threats is a pressing concern. As digital transmission systems advance, so do the methods...
Exploring the Advancements and Future Directions of Digital Twins in Healthcare 6.0
Exploring the Advancements and Future Directions of Digital Twins in Healthcare 6.0
Archi Dubey, C. Kishor Kumar Reddy, Srinath Doss, Marlia Mohd Hanafiah. © 2025. 320 pages.
The healthcare industry is increasingly complex, demanding personalized treatments and efficient operational processes. Traditional research methods need help to keep pace with...
Dactylology Prediction Using Convolution Neural Networks
Dactylology Prediction Using Convolution Neural Networks
C. Kishor Kumar Reddy, Sahithi Reddy Pullannagari, Srinath Doss, P. R. Anisha. © 2024. 12 pages.
Dactylology is a technique used by individuals who are deaf or heard of hearing to communicate by making signs with their fingers, particularly in manual alphabets. The goal of...
A Study of Machine Learning Methods-Based Affective Disorders Detection Using Multi-Class Classification
A Study of Machine Learning Methods-Based Affective Disorders Detection Using Multi-Class Classification
Bhavya Tungana, Kishor Kumar Reddy C., Marlia Mohd Hanafiah, Srinath Doss. © 2023. 20 pages.
Psychological health issues like stress, anxiety and depression is becoming general due to various factors. Different severity levels of stress, anxiety and depression have...
An Efficient Early Diagnosis and Healthcare Monitoring System for Mental Disorders Using Machine Learning
An Efficient Early Diagnosis and Healthcare Monitoring System for Mental Disorders Using Machine Learning
Kishor Kumar Reddy C., Pullisani Satvika, Srinath Doss, Marlia M. Hanafiah. © 2023. 23 pages.
Recently, the increase in internal health problems in society has led to an increase in research on the development of mechanistic capacity models to detect or predict internal...