Venkata Krishna Parimala

Sri Padmavati Mahila Visvavidyalayam

Dr. Venkata Krishna Parimala is currently a Professor of Computer Science and Director for University Rankings at Sri Padmavati Mahila University, Tirupati, India. He received his BTech in Electronics and Communication Engineering from Sri Venkateswara University, Tirupathi, India; an MTech in Computer Science and Engineering from Regional Engineering College (REC), Calicut, India; and a Ph.D. from VIT University, Vellore, India. Dr. Krishna has several years of experience working in academia, research, teaching, consultancy, academic administration, and project management roles. His current research interests include mobile and wireless systems, data science, explainable artificial intelligence (XAI), machine learning, and cloud computing. He is the recipient of several academic and research awards, such as the Cognizant Best Faculty Award for 2009–2010 and the 2021 Best Researcher Award from Sri Padmavati Mahila University. Recently Prof. Krishna was listed among the top 2% of scientists in the world by Stanford University, USA. He has authored more than 200 research papers in various national and international journals and conferences. He has delivered several keynote addresses and chaired sessions at reputed conferences. He is a senior member of several professional societies such as the Institute of Electrical and Electronics Engineers (IEEE), Association for Computing Machinery (ACM), Computer Society of India (CSI), Institution of Engineers (India) (IE(I)), and others.

Venkata Krishna Parimala

2books edited

1chapters authored

Latest work with IntechOpen by Venkata Krishna Parimala

This book discusses and addresses anomaly detection in the context of artificial intelligence and machine learning advancements. Building on the existing literature, this thorough and timely work is an invaluable resource. It highlights various problems, offers workable solutions to those problems, and allows academic and professional researchers and practitioners to engage in new technologies linked to anomaly detection. This book demystifies the challenges and presents solutions for detecting and understanding network anomalies. Whether you are a seasoned network professional or an enthusiast keen on cyber security, this volume promises insights that will fortify our connected futures. Join us in navigating the complexities of modern networks and championing a safer, more transparent digital era.

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