Venkata Krishna Parimala

Sri Padmavati Mahila Visvavidyalayam India

Dr. Venkata Krishna Parimala is currently a Professor of Computer Science and the Director of University Rankings at Sri Padmavati Mahila Visvavidyalayam, Tirupati, India. He received his BTech in Electronics and Communication Engineering from Sri Venkateswara University, Tirupati, India; an MTech in Computer Science and Engineering from Regional Engineering College (REC), Calicut, India; and a PhD 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, in 2021. He has authored over 250 research papers in various national and international journals and conferences. He has delivered several keynote addresses and chaired sessions in 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

3books edited

2chapters authored

Latest work with IntechOpen by Venkata Krishna Parimala

The increasing use of electronic health records (EHRs), propelled by the Internet and network technologies, is transforming healthcare. EHR systems facilitate a dynamic platform for users and stakeholders to interact and share information. This growth is further increased by the proliferation of smart devices, fostering a new era of knowledge sharing in healthcare. However, alongside the rapid expansion of EHR systems, concerns about individual privacy are escalating. The ease of accessing personal data makes EHR systems prime targets for sophisticated cyber attacks. Furthermore, the huge volume of data within these systems is growing exponentially, posing significant challenges in data analysis and management. EHR systems are increasingly crucial for healthcare research, with many researchers relying on this data to develop applications leveraging Big Data, the Internet of Things (IoT), and Mobile Cloud technologies. Consequently, a thorough examination and analysis of EHR systems are essential to address the various challenges inherent in healthcare systems. This book will explore and resolve these issues and challenges. It seeks contributions that discuss diverse aspects of EHR systems, including novel strategies and developments across different technologies. In addition, it will examine the impact of cutting-edge innovations on EHR systems, offering insights into the future trajectory of healthcare technology and data management.

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