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Dr Nitalaksheswara Rao Kolukula

GITAM University, Rajeev Gandhi Memorial College of Engineering & Technology, Andhra University, Jawaharlal Nehru Technological University, Kakinada, Narasaraopeta Engineering College

ORCID iD 0000-0003-4116-2367

About

Dr. K. NITALAKSHESWARA RAO obtained his Ph.D. in Computer Science and Systems Engineering at Andhra University Visakhapatnam India. He received his Master’s degree M. Tech in Computer Science and engineering in 2009. He is the topper of the school at SSC level and batch topper at M. Tech level. Now, he is the Assistant Professor in department of Computer Science and engineering at GITAM University Visakhapatnam Andhra Pradesh India. He has 13 plus years of teaching and 7 years of research experience. He published 7 patents intellectual property of India and “Smart Face Shield” Patent was granted on 18.07.2022 by IP India services Government of India. Dr. Rao authored Five text books namely “3D-printing and its applications” and “Role of Artificial Intelligence in Software Engineering” “published by Lap Lambert academic publisher Germany,” Algorithmic approaches for software defect prediction on Skewed Data Distribution”,” Improved Hybrid sampling strategy for software defect prediction of Imbalanced Data Distribution”,” Artificial Intelligence and Machine learning: A Practioner’s Approach”. Dr. Rao published his research work in reputed international SCI journals like springer, AJSE, EVOS, IJSEIA, and also in international conferences. He attended and Conducted International conferences and workshops. He is the reviewer of Journal of supercomputing, Arabian journal for Science and Engineering, journal of big data Springer and Walailak journal. He received best Research paper award by RAI University Gujarat in FTSE-2021.He was awarded by Bharat talents with “VIDYASREE” award and Received best young achiever award 2020 form international IJMTST research excellence awards 2020. He received Best Young Research Scholar award in Pride of India awards 2022 on the occasion of Dr. Babasaheb Ambedkar birth anniversary by International Council for Social reforms and Justice. He is the life member of ISTE, IEI and member of IAENG. His current research interest includes Machine Learning Software Engineering, Data Engineering, Quality Assurance and Software Engineering.

Employment

  • GITAM University Senior Assistant Professor
    2022 - 2022
  • Rajeev Gandhi Memorial College of Engineering & Technology Senior Assistant Professor
    2021 - 2022
  • Narasaraopeta Engineering College Associate Professor
    2010 - 2021
  • Chirala Engineering College Assistant Professor
    2006 - 2007

Education

  • Andhra University Ph.D
    2015 - 2022
  • Jawaharlal Nehru Technological University, Kakinada M.Tech
    2007 - 2009
  • Jawaharlal Nehru Technological University Hyderabad B.Tech
    2002 - 2006

Projects & Funding

Projects & funding information is unavailable.

Publications (12)

  • Processing of clinical notes for efficient diagnosis with feedback attention-based BiLSTM
    Medical & Biological Engineering & Computing 2024 DOI: 10.1007/S11517-024-03126-8
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  • A novel approach using improved integrated sampling strategy for software defect prediction of skewed data distribution
    Futuristic Trends for Sustainable Development and Sustainable Ecosystems 2021
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  • AN INTEGRATED FRAMEWORK FOR SOFTWARE DEFECT ANALYSIS WITH AWARE OF SAAS PROVISIONING IN CLOUD ENVIRONMENT USING MADM METHODS
    Advances and Applications in Mathematical Sciences 2021
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  • An Integrated Framework for Software Defect Analysis with aware of SaaS Provisioning in Cloud Environment using MADM Methods
    Advances and Applications in Mathematical Sciences 2020
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  • A novel under sampling strategy for efficient software defect analysis of skewed distributed data
    Evolving Systems 2020 DOI: 10.1007/S12530-018-9261-9
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  • Review: Software Defect Prediction for Class Imbalance Datasets”, International Journal of Software Engineering andItsApplications
    International Journal of Software Engineering andItsApplications 2019
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  • A novel under sampling strategy for efficient software defect analysis of skewed distributed data
    EVOLVING SYSTEMS 2018
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  • An Efficient Software Defect Analysis Using Correlation-Based Oversampling
    Arabian Journal for Science and Engineering 2018
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  • An Efficient Software Defect Analysis Using Correlation-Based Oversampling
    Arabian Journal for Science and Engineering 2018 DOI: 10.1007/S13369-018-3076-7
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  • A Data Analytics Prototype for Efficient Bug Triage Implementations
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