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Home » Faculty » Dr G. Lingaiah
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Dr G. Lingaiah

Assistant Professor

Qualification
B.Tech., M.Tech., Ph.D.

Professional Exp.
23 Years

Registration Number
9754-150506-135923

Email Address
dr.lingaiah@aceec.ac.in

Dr. G. Lingaiah is a highly qualified professional with an impressive 23 years of teaching experience in the field of Computer Science and Engineering. Over the years, he has made significant contributions to both undergraduate and postgraduate education, particularly in specialized areas such as C, C++, Java, and DBMS languages.

His expertise extends beyond the classroom, as he has been actively involved in research focusing on practical implementation and application of automatic object detection using machine learning.

Educational Details:

  • Ph.D (Computer Science & Engineering), Arni University, Kangra, Himachal Pradesh – December 2025
  • M.Tech (CSE), Adam’s Engineering College, Palvancha – October 2010
  • B.Tech (CSE), University College of Engineering, Kakatiya University – May 2002

Professional Background:

  • Assistant Professor, ACE Engineering College, Ankushapur – February 2026 to Till Date
  • Assistant Professor, Sreenidhi Institute of Science and Technology – January 2023 to January 2026
  • Assistant Professor, KLR College of Engineering & Technology – November 2020 to December 2023
  • Assistant Professor, Adam’s Engineering College – July 2005 to June 2020
  • Lecturer (CP), University College of Engineering, Kakatiya University – July 2002 to June 2005

Subjects Taught:

  • Compiler Design
  • Design and Analysis of Algorithms
  • Operating Systems
  • Discrete Mathematics
  • Information Retrieval Systems
  • Intellectual Property Rights
  • Advanced Problem Solving
  • Information Security
  • Database Management Systems
  • MFCS (DSGT)
  • Computer Networks
  • Computer Forensics

Core Research Domains:

  • Artificial Intelligence and Machine Learning

Research Focus:

  • Ph.D awarded on: “An analysis of application of Artificial Intelligence in enhancing cybersecurity for phishing detection of emails and URLs”.

Book Chapters:

  • Fundamentals of Federated Learning: Principles and Applications
    A Two-Staged Optimized Stacking Ensemble Learning Classifier for the Prediction of Cervical Cancer (Page 465) Authors: Ch. Bhavani, M. Radha, G. Lingaiah, Erupaka Nitya, and Umarani Nagavelli © The Author(s), under exclusive license to Springer Nature Switzerland AG, 2026 Published in: The Convergence of Federated Learning and Healthcare 5.0 and Beyond: A New Era of Intelligent Health Systems, Studies in Computational Intelligence DOI: https://doi.org/10.1007/978-3-032-03985-9_21

International / National Conferences:

  • G. Lingaiah, Dr. Ram Kinkar Pandey, Comparative Performance Study of Machine Learning Algorithms for Phishing URL Detection in Cyber Security Systems, Journal of Computational Analysis and Applications, Vol. 31, No. 4, pp. 1865–1873, 2023. ISSN: 1521-1398, Publisher: Krishi Sanskriti Publications. Indexed in: UGC Listed. DOI: https://doi.org/10.48047/jocaaa.2023.31.04.52
  • G. Lingaiah, Dr. Ram Kinkar Pandey, A Comprehensive Analysis of Phishing Email and URL Detection Leveraging Traditional Machine Learning Models, Proceedings of the International Conference on New Computational Techniques and Artificial Intelligence Applications (NCNTAIA-2025). Indexed in: UGC Listed / Conference Proceedings

International Journal Publications:

  • G. Lingaiah, Dr. Ram Kinkar Pandey, Design of an Intelligent Deep Learning Framework for Phishing URL Detection in Cybersecurity Applications, International Journal of Applied Mathematics, Vol. 38, No. 5s, pp. 1033–1045, 2025. ISSN (Print): 1311-1728, ISSN (Online): 1314-8060, Publisher: Krassimir Atanassov (Bulgaria). Indexed in: UGC Listed, Scopus Indexed
  • G. Lingaiah, Dr. Ram Kinkar Pandey, Intelligent Transformer-Based Deep Learning Framework for Email Phishing Detection, International Journal of Applied Mathematics, Vol. 38, No. 9s, pp. 1240–1254, 2025. ISSN (Print): 1311-1728, ISSN (Online): 1314-8060, Publisher: Krassimir Atanassov (Bulgaria). Indexed in: UGC Listed, Scopus Indexed
  • Multiplicative Image Watermarking Using Optimum Detector, International Journal of Emerging Engineering Research and Technology (IJEERT), Volume 3 Issue 4(A), April 2015. ISSN Print: 2349-4395, ISSN Online: 2349-4409
  • An Enhanced Approach for Medical Edge Image Enhancement using Genetic Algorithm, International Journal of Computer Science and Technology (IJCST), Volume 3 Issue 1, January–March 2012

Faculty Development Programs Attended:

  • Five-Day FDP on Artificial Intelligence and Blockchain Application for Food Agriculture Sector from 24/01/2022 to 28/01/2022 at Indian Institute of Plantation Management, Bengaluru
  • One-Week Faculty Development Program on Amazon Web Services from 22nd August 2022 to 27th August 2022, organized by RGUKT Basar in collaboration with Brainovision Solutions India Pvt. Ltd & AICTE
  • Two-Day FDP on Cyber Security from 02/12/2022 to 03/12/2022 at JNTUH, Hyderabad
  • One-Week Faculty Development Program on Zscaler Academy from 11th December 2023 to 16th December 2023, organized by AICTE ATAL – Eduskills at Matrusri Engineering College, Hyderabad

Member in Professional Bodies:

  • Indian Society of Technical Education – Member (Life)