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Anjana G

Assistant Professor(O C), Department of Electronics and Communication Engineering, School of Engineering, Amritapuri

Qualification: M.Tech, NET & Pursuing PhD
anjanageetha@am.amrita.edu
Google Scholar Profile
Scopus Author ID
Research Interest: Embedded AI based medical diagnosis, Machine learning, Deep learning, VLSI and Embedded Systems, Autonomous Vehicles, FPGA Implementation.

Bio

Ms. Anjana G joined the Department of Electronics and Communication Engineering at Amrita Vishwa Vidyapeetham, Amritapuri campus, in 2024. She holds a Bachelor’s degree from Cochin University of Science and Technology and a Master’s degree from Rajiv Gandhi Institute of Technology, Kottayam. She is currently pursuing her Ph.D. in the area of Embedded Systems and Artificial Intelligence at Amrita Vishwa Vidyapeetham, Amrita School of Engineering, Amritapuri. Ms. Anjana has qualified the UGC-NET for Junior Research Fellowship (JRF) and Assistant Professorship in Electronic Science. Prior to joining Amrita, she accumulated over three years of teaching experience at reputed institutions, including Rajiv Gandhi Institute of Technology and TKM College of Engineering, Kollam. Her research interests lie in the domains of Embedded Systems integrated with Artificial Intelligence and VLSI Design. She has published several research papers in reputed journals and conferences.

Publications

Journal Article

Year : 2026

Temporal Knowledge Extraction Through BayeStack with Multi-Level Explainability for Optimal Sepsis Classification

Cite this Research Publication : Anjana Geetha, K. L. Nisha, Arun Sankar Muttathu Sivasankara Pillai, Sreenath Rajeev, Temporal Knowledge Extraction Through BayeStack with Multi-Level Explainability for Optimal Sepsis Classification, Machine Learning and Knowledge Extraction, MDPI AG, 2026, https://doi.org/10.3390/make8060150

Publisher : MDPI AG

Year : 2024

Improving sepsis classification performance with artificial intelligence algorithms: A comprehensive overview of healthcare applications

Cite this Research Publication : Anjana G., Nisha K.L., Arun Sankar M.S., Improving sepsis classification performance with artificial intelligence algorithms: A comprehensive overview of healthcare applications, Journal of Critical Care, Elsevier BV, 2024, https://doi.org/10.1016/j.jcrc.2024.154815

Publisher : Elsevier BV

Conference Paper

Year : 2021

A Study on Human-like Driving Decision-Making Mechanism in Autonomous Vehicles Under Various Road Scenarios

Cite this Research Publication : G Anjana, Rajesh Kannan Megalingam "A Study on Human-like Driving Decision-Making Mechanism in Autonomous Vehicles Under Various Road Scenarios " Springer, Singapore, 2021

Publisher : Springer, Singapore

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