Harishchander Anandaram

Harishchander Anandaram completed a PhD in Bioengineering, a M.Tech, and a B.Tech in Bioinformatics from the Sathyabama Institute of Science and Technology, Chennai, in 2020, 2011, and 2009. In his bachelor’s and master’s theses, he worked on analysing resistance to HIV protease inhibitors based on molecular mechanics and machine learning studies, a collaborative project with IIT Madras. In his PhD thesis, he worked on pharmacogenomics and miRNA-regulated networks in psoriasis, a collaborative project with Georgetown University, USA, JIPMER, India, CIBA, India, and ILS, India. His thesis illustrated a multi-disciplinary approach by combining computational biophysics and molecular biology with machine learning. While doing a PhD, he had the opportunity to collaborate with international researchers and have publications in reputed international journals in bioinformatics and systems biology. He has received the prestigious “Young Scientist Award” from “The Melinda Gates Foundation” for his research abstract on “The Implications of miRNA Dynamics in Infectious Diseases”. To date, he has reviewed more than 200 manuscripts in systems biology. He is now using computer methods to guess new lead molecules and biomarkers that can be used to target the inflammatory pathways that are linked to autoimmune and infectious diseases.

Publications

Implementation of Machine Learning for Smart Wearables in the Healthcare Sector
Harishchander Anandaram, Deepa Gupta, Ch. Indira Priyadarsini, Benita Christopher. © 2024. 15 pages.
Artificial intelligence (AI) and the internet of things (IoT) are two of the world's most rapidly expanding technologies. More and more people are settling in urban areas...
A Secure Framework to Prevent Three-Tier Cloud Architecture From Malicious Malware Injection Attacks
B. V. Subba Rao, Vivek Sharma, Neeraj Rathore, Devendra Prasad, Harishchander Anandaram, Gaurav Soni. © 2023. 22 pages.
The concept of cloud computing makes it possible to have a shared pool of reconfigurable computing resources that can be deployed and released with little involvement from...
An Exploration of Python Libraries in Machine Learning Models for Data Science
Jawahar Sundaram, K. Gowri, S. Devaraju, S. Gokuldev, Sujith Jayaprakash, Harishchander Anandaram, C. Manivasagan, M. Thenmozhi. © 2023. 31 pages.
Python libraries are used in this chapter to create data science models. Data science is the construction of models that can predict and act on data, which is a subset of machine...