Raghavendra Rao Althar

About

Raghavendra has obtained his Bachelor’s in Mechanical Engineering from VTU and MBA in Operations Management from Indira Gandhi Open University. His area of interest is in application of Data Science in Software Development Processes. He is Currently working as Quality Management Specialist in a Software Development team of Insurance domain-based company. For last 15 years, he has been working on building Quality Management Systems for various domains like manufacturing, Retail, Telecom and Software industries, based on International Standards like ISO, Six sigma and best Global practices for industry. Adopting best practices of Data Science to optimize Software Development processes and connected Business Processes has been the recent focus area. He is Six sigma Black Belt certified and Quality Management & Information Security Audit Standards certified practitioner. He is pursuing Doctor of Philosophy in Data Science from Christ University, Bangalore, India since June 2020.

Employment

• First American India Specialist - QMS
  2013 - Present

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (20)

• Design and Development of Artificial Intelligence Knowledge Processing System for Optimizing Security of Software System
  SN Computer Science 2023 DOI: 10.1007/s42979-023-01785-2
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• A Real-Time Approach with Deep Learning for Pandemic Management
  EAI/Springer Innovations in Communication and Computing 2022 DOI: 10.1007/978-3-030-72752-9_6
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• Automated Risk Management based Software Security Vulnerabilities Management
  IEEE Access 2022 DOI: 10.1109/ACCESS.2022.3185069
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• BERT-Based Secure and Smart Management System for Processing Software Development Requirements from Security Perspective
  Lecture Notes on Data Engineering and Communications Technologies 2022 DOI: 10.1007/978-981-19-2347-0_34
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• Mathematical foundations based statistical modeling of software source code for software system evolution
  Mathematical Biosciences and Engineering 2022 DOI: 10.3934/mbe.2022170
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• Security Aspects for Mutation Testing in Mobile Applications
  Lecture Notes in Networks and Systems 2022 DOI: 10.1007/978-981-16-4284-5_2
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• Methodologies and Applications of Computational Statistics for Machine Intelligence
  IGI Global 2021
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• The realist approach for evaluation of computational intelligence in software engineering
  Innovations in Systems and Software Engineering 2021 DOI: 10.1007/s11334-020-00383-2
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• Statistical modelling of software source code
  Statistical Modelling of Software Source Code 2021 DOI: 10.1515/9783110703399
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• Software Systems Security Vulnerabilities Management by Exploring the Capabilities of Language Models Using NLP
  Computational Intelligence and Neuroscience 2021 DOI: 10.1155/2021/8522839
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