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Dr. Ravi Kumar Saidala

Assistant Professor

Alliance College of Engineering and Design

Dr. Ravi Kumar Saidala is employed as an Assistant Professor at Alliance College of Engineering and Design, ALLIANCE UNIVERSITY. He specializes in Data Mining and obtained his doctoral degree, Doctor of Philosophy, from Acharya Nagarjuna University, India. Prior to that, he completed his Master's degree, Master of Technology, in Computer Science and Engineering from the same university, where he excelled as the top student in the M-Tech batch. He also holds a Bachelor's degree, Bachelor of Technology, in Computer Science and Engineering from Jawaharlal Nehru Technological University Kakinada, India.

Throughout his doctoral-level studies, Dr. Ravi Kumar has displayed exemplary discipline and dedication as a research scholar. His outstanding contributions are evidenced by the publication of 30 research papers in esteemed international journals and flagship conferences. He actively serves as an Editorial Board member for prestigious international journals and diligently reviews submissions for reputable IEEE, Springer, and Elsevier journals.

Dr. Ravi Kumar Saidala is a passionate and accomplished researcher, educator, mentor, and author, with a profound impact on the fields of Artificial Intelligence, Machine Learning, Data Engineering, and Mining.

Some of the significant publications are as follows:

International Journals: 

  • Saidala, R. K., & et al, (2023). Mechanical and tribological properties enhancements by optimizing synthesizing parameters. ELSEVIER, Journal of King Saud University - Science, Accepted.
  • Saidala, R. K., & et al, (2023). Mobile sensing data processing based on deep learning and improved swarm-intelligent algorithm. ELSEVIER, Measurement: Sensors, Under Revision.
  • Saidala, R. K., & et al,(2022). Xrd, epr and ft-ir studies of zinc aluminum lithium borate (zalb) glasses doped with cu2+ ions. Physical Chemistry Research, 10(4), 455–460.
  • Saidala, R. K., & Devarakonda, N. (2021). A hybrid between TOA and Lévy flight trajectory for solving different cluster problems. International Journal of Cognitive Informatics and Natural Intelligence (?CINI), 15(4).
  • Saidala, R. K., & et al, (2020). Machine learning approach for protecting the information traffic with firewall for smart IOT devices and network. International Journal of Biology, Pharmacy and Allied Sciences (?BPAS), 10(11), 755–736.
  • Saidala, R. K. (2020). Variant of northern bald Ibis algorithm for unmasking outliers. International Journal of Software Science and Computational Intelligence (?SSCI), 12(1), 15–29.
  • Saidala, R. K. (2019). Northern bald Ibis algorithm-based novel feature selection approach. International Journal of Software Science and Computational Intelligence (?SSCI), 11(4), 17–30.
  • Saidala, R. K., & Devarakonda, N. (2019). A novel chaotic northern bald ibis optimization algorithm for solving different cluster problems [iccicc18# 155. International Journal of Software Science and Computational Intelligence (?SSCI), 11(2), 1–25.
  • Saidala, R. K., & Devarakonda, N. (2018a). Chaotic Tornadogenesis optimization algorithm for data clustering problems. International Journal of Software Science and Computational Intelligence (?SSCI), 10(1), 38–64.
  • Saidala, R. K., & Devarakonda, N. (2018c). Multi-swarm whale optimization algorithm for data clustering problems using multiple cooperative strategies. International Journal of Intelligent Systems and Applications (IJISA), 10(8), 36.
  • Saidala, R., Devarakonda, N., & Edara, S. (2018). Enhanced northern bald Ibis optimization algorithm-based clustering method for web document clustering. Journal of Advanced Research in Dynamical and Control Systems, (JARDCS) (9), 2081–2094.
  • Saidala, R. K., & et al, (2017). Feature based opinion analysis of Chinese mobile reviews. International Journal for Research in Applied Science Engineering Technology (?RASET), 5(4), 282–288.
  • Saidala, R. K., & et al, (2016). Unmasking outliers in large distributed databases using cluster-based approach: Clubsold. International Journal of Engineering and Technology (IJET), 8(2), 1212–1222.
  • Saidala, R. K., & et al, (2015). Comparative study of OSC and NOSC algorithms for high dimensional data. International Journal of Applied Engineering Research (IJAER), 10(21), 41817–41827.

Books & Book Chapters: 

  • Saidala, R. K., & J.C. Patni, N., Devarakonda. (2023). Data-driven insights for smarter healthcare: Harnessing the power of artificial and computational intelligence. In Edited book publication (p. 250). Submitted to IGI Publisher.
  • Saidala, R. K., & J.C. Patni, N., Devarakonda. (2023). Harvesting intelligence: Exploring the intersection of ai and agriculture. In Edited book publication (p. 250). Submitted to IGI Publisher.
  • Saidala, R. K. (2022a). A novel optimum clustering method using variant of noa. In Computational intelligence in medical decision making and diagnosis: Techniques and applications (pp. 1–25). CRC, Taylor and Francis, U.K.
  • Saidala, R. K., & Devarakonda, N. (2021b). Data mining. In Book publication (p. 250). Rudhra International Publications.
  • Saidala, R. K., & Devarakonda, N. (2018b). Improved whale optimization algorithm case study: Clinical data of anaemic pregnant woman. In Data engineering and intelligent computing (pp. 271–281). Springer. 

National & International Patents: 

  • Saidala, R. K., & et al. (2023) "Portable Spirometer", UK Design Patent, 6271257.
  • Saidala, R. K., & et al. (2023) "An AI based customer service chatbot with emotional intelligence and method thereof", Indian Patent, 202341024289.
  • Saidala, R. K., & et al. (2023) "Monitoring and surveillance of objectives through social networks for defense and cyber intelligence", Indian Patent, 202341025424.
  • Saidala, R. K., & et al. (2023) "Intelligent Theft Prevention System for Banks using AI-Powered Surveillance Technology", Indian Design Patent, 382750-001.
  • Saidala, R. K., & et al. (2023) "Next-Generation Surveillance: AI-Enabled Abnormal Activity Detection System for Comprehensive Security"", Indian Design Patent, 382548-001.
  • Saidala, R. K., & et al. (2021) "A Data Mining Tool for Monitoring and Reporting for a Change In a Real-Time Data", Indian Patent, 33662.

    Awards

    • Selected for Bharat Ratna Mother Teresa Gold Medal Award,
    • Selected for InSc Research Excellence award,`
    • Selected for InSc Young Achiever award,
    • Awarded Outstanding Reviewer Certificate, from Applied Soft Computing, Elsevier,
    • Awarded Outstanding Reviewer Certificate, from Pattern Recognition, Elsevier,
    • Awarded UGCNF SRF, under UGC Rajiv Gandhi National fellowship scheme,
    • Awarded UGCNF JRF, under UGC Rajiv Gandhi National fellowship scheme.
    • Ratified by JNTU Kakinada,
    • Ratified by JNTU Hyderabad.

    Certifications

    • Data Science, Kaggle,
    • Machine Learning, Kaggle,
    • Artificial Intelligence, Kaggle,
    • Pattern discovery in data mining, Coursera,
    • Text mining and analytics, Coursera,
    • Text retrieval and search engines, Coursera,
    • Machine learning for all, Coursera,
    • Data Science Methodology, Coursera,
    • AI For Everyone, Coursera,
    • What is Data Science?, Coursera,
    • Introduction to Artificial Intelligence (AI), Coursera,
    • Database and SQL for data science, Coursera,
    • Foundations of data science: Kmeans clustering, Coursera,
    • Cluster analysis in data mining, Coursera,
    • Microsoft Technology Associate in Security Fundamentals, Microsoft.
    • Ethical Hacking, Ankit Fadia,
    • Computer Networks Fundamentals, CCNA

    International Conferences: 

    • Saidala, R. K., & al, E. (2023). Ai-based precision heart disease prediction model for binary and multi-class using a fusion of fuzzy c-means, WOA and bagging-GBDT. In The 56th annual international conference on security technology and Systems (iccsts 2023) (Accepted). IEEE, Pune.
    • Saidala, R. K. (2020). A novel optimum clustering method using variant of NOA. In 6th international conference on technical advancements in computer science and engineering (ictacse-2021) (pp. 232–244). IEEE.
    • Saidala, R. K., Devarakonda, N., & Kamaraiugadda, R. (2018). Hybrid air mass collision based optimization algorithm for data cluster problems. In 2018 IEEE 17th international conference on cognitive informatics & cognitive computing (icci* cc) (pp. 507–516). IEEE, University of California, Berkely, USA.
    • Saidala, R. K., & Devarakonda, N. (2018d). Northern bald ibis optimization algorithm: Theory and application. In 2018 IEEE 17th international conference on cognitive informatics & cognitive computing (icci*cc) (pp. 541–551). IEEE, University of California, Berkely, USA.
    • Saidala, R. K., & Devarakonda, N. R. (2017a). A new parallel metaheuristic optimization algorithm and it’s application in CDM. In 2017 2nd international conference for convergence in technology (i2ct) (pp. 667–674). IEEE.
    • Saidala, R. K., & Devarakonda, N. R. (2017b). Bubble-net hunting strategy of whales based optimized feature selection for e-mail classification. In 2017 2nd international conference for convergence in technology (i2ct) (pp. 626–631). IEEE.
    • Saidala, R. K., & Devarakonda, N. (2017). The Tornadogenesis optimization algorithm. In 2017 IEEE 16th international conference on cognitive informatics & cognitive computing (icci* cc) (pp. 378–387). IEEE, Oxford University, Oxford, London, UK.