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Dr. E. Nageswara Rao, Associate Professor

Associate Professor

Dr. E. Nageswara Rao
Associate Professor

Education Qualifications: Ph.D. CSE (2022), Nagarjuna University, Andhra Pradesh, India.
Area of Specialization: Machine Learning, Deep Learning
Research Interests: Machine Learning , Deeplearning, Network Security and Artificial Intelligence
Number of Papers Published: 17 (Journals: 15 & Conferences: 2 )
Membership in Scientific and Professional Societies: Life Member in ISTE
Date of Joining: 10th August 2022
Subjects Handled: Fundamentals of Computer Science, Data Structures and Algorithms , Automata Theory & Formal Languages, Compiler Design, Java Programming, Big Data, Programming in Python, Database Management Systems, Computer Organization and Artificial Neural Networks.

Member of Committees/Bodies:

  • Member of Board of Studies, Department of CSE(IOT), RVR&JCCE

Patents (Published: 2)

Sl. No. Patent Title Applicant's/
Inventor's Name		 Country Name Patent Application No. Term of Patent Date of Filing Date of Publication Status
1 Efficient Handling of M-Health data using Artificial Intelligence and Big Data Dr. E. Nageswara Rao India 202241033426 -- 10/06/2022 17/06/2022 Published
2 IOT based paddy leaves disease detection and classification using Neural Networks Dr. E. Nageswara Rao India 202241050108 -- 02-09-2022 09-09-2022 Published
3 Method and System for Dynamic Resource Allocation and Load Balancing for Energy-Efficient IoT networks Dr. E. Nageswara Rao India 202341076765 A -- 09/11/2023 22/12/2023 Published

International/National Journal Publications: (Scopus-04, Web of Science-2, UGC-10)

  1. Saxena, NR Eluri., et al. "Picture Of Data Warehouse Portrayed With Thought For Challenges, Modernization, And Improvement Of A Conventional Data Warehouse, As Well As Its Possible Future Perspectives." Journal of Pharmaceutical Negative Results (2022): 8244-8254."(Scopus & ESCI)
  2. E.Nageswara Rao ., et al. "Predictive Analysis of Students Performance Evaluation in Higher Education: A Machine Learning Approach"
  3. Bheemalingaiah, M., E. Nageswara Rao, and et al. "ADVANCED CYBER CRIME RATE PREDICTION USING DEEP LEARNING & AI BASED ALGORITHM." JOURNAL OF HARBIN INSTITUTE OF TECHNOLOGY 54.3 (2022): 2022.(Scopus)
  4. Bheemalingaiah, M., E. Nageswara Rao, and et al. "Detection of heart disease by using reliable boolean machine learning algorithm." Journal of Theoretical and Applied Information Technology 99.15 (2021): 3856-3880. (Scopus)
  5. Eluri, Nageswara Rao, et al. "Cancer data classification by quantum-inspired immune clone optimization-based optimal feature selection using gene expression data: deep learning approach." Data Technologies and Applications 56.2 (2022): 247-282.(Scopus/SCIE)
  6. Eluri, Nageswara Rao.et al. "Feature Extraction In Gene Expression Dataset Using Multilayer Perceptron." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12.2 (2021): 3069-3076.
  7. Eluri, Nageswara Rao, et al. "Feature extraction in medical images by using deep learning approach." International Journal of Pure and Applied Mathematics 120.6 (2018): 305-312.
  8. Eluri, Nageswara Rao, and K. Gangadhara Rao. "A HEURISTICS SMO APPROACH TO PREDICT GENE DATA FOR FITNESS BASED ON FEATURE SELECTION ALGORITHM." Journal of the Maharaja Sayajirao University of Baroda ISSN : 0025-0422
  9. Nageswara Rao Eluri, et al. "Evolutionary Computation based Feature Selection: A Survey." 2018 Second International Conference on Electronics, Communication and Aerospace Technology (ICECA). IEEE, 2018.
  10. Eluri, Nageswara Rao, et al. "A New Approach to Communicate Secret Message (Key) Among a Group Using Chain Matrix Multiplication Based on Public Key Crypto System." International Journal of Innovative Technology and Exploring Engineering (IJITEE) ISSN: 2278-3075, Volume-3, Issue-7, December 2013
  11. Eluri Nageswara Rao et al. "Cognitive Radio Implementation with GRC" Global Journal of Pure and Applied Mathematics Volume :11 Issue 5 pages :3349-3359
  12. Thejovathi, M., and E. Nageswar Rao. "Multilayer coding mechanisms for broadcasting over mimo networks." International Journal of Computer Science & Communication Networks 3.2 (2013): 84.
  13. Eluri Nageswara Rao, Dr. K. Venkata Rao "Secret Message Secure Communication in A Group Using Pkcs Based on Sponge Function" American Journal of Engineering Research (AJER) e-ISSN: 2320-0847 p-ISSN : 2320-0936 Volume-6, Issue-1, pp-256-262
  14. Nageswara Rao Eluri,Mohammed, Irfan. "Cascade of Gait Recognition with Surveillance System in a Client-Server Environment." Journal of Computer Technology & Applications 3.1 (2012): 26-36.

Conference Publications: (Scopus: 1)

  1. Kancharla, G. R., Eluri, N. R., Dara, S., & Ansari, N. (2019, March). An efficient algorithm for feature selection problem in gene expression data: A spider monkey optimization approach. In Proceedings of 2nd International Conference on Advanced Computing and Software Engineering (ICACSE).
  2. Rao, K. V., Eluri, N. R Prasanth Kumar, B., Viswanadh Sharma, C., & Kumar, B. K. (2020). Implementation of Secrete Message Communication in Server/Client Environment Using Splines Based on PKCS. In Smart Intelligent Computing and Applications: Proceedings of the Third International Conference on Smart Computing and Informatics, Volume 1 (pp. 571-582). Springer Singapore. (Scopus)

Workshops/Seminars Attended

  • Attended online Five Days faculty development Program on "Ethical Hacking" Organized by Blackbuck Engineers and Department of CSE and IT , KKR & KSR institute of Technology & Sciences from 27th February to 3rd March 2023
  • Attended one week online Faculty Development Program on " Applications of Computer Vision using Deep Learning " conducted by the Department of ECE, SeshadriRao Gudlavalleru Engineering College during 20 - 25 February 2023
  • Attended UGC Sponsored Two-Day National Workshop on " Advances in Cloud Computing " Organized by Department of Computer Science & Engineering , ANU College of sciences, Acharya Nagarjuna University held on 3rd and 4th february 2023
  • Attended online elementary FDP on “ Deep Learning for Visual Computing “at Sri Krishna college of Engineering and Technology.(ATAL Academy). (12/07/2021 to 16/07/2021)
  • Attended one week national level online faculty development program on “Multi Technology“ from 28th June to 3rd July 2021 organized by department of CSE&IT,BVRITH in association with NYCI & Brain Vision solutions India Pvt. Ltd.
  • Attended online elementary FDP on " Machine Learning and Computer Vision " at Vignan's Founation for Science Technology and Research University.(ATAL Academy). (21/06/2021 to 25/06/2021)
  • Attended one week national level online faculty development program on "Block Chain Technology and Its Applications " from 29th June to 3rd July 2021 organized by department of CSE&IT,KL University in association with NYCI & Brain Vision solutions India Pvt. Ltd.
  • Attended three weeks online faculty development program on " Research Perspectives on AI, ML, Data Science and IOT" organized by KL University, Vijayawada, AndhraPradesh, India from 17th May to 5th June 2021.
  • Attended online FDP on "Data sciences” from 2020-12-02 to 2021-12-06 at University College of Engineering, KAKATIYA University (ATAL Academy).
  • Attended online 15 days Faculty Development Programme On “Data Science & Its Applications in STEM”, conducted by Andhra University College of Engineering (A), Andhra University and University Engineering College -Vizianagaram, JNTUK, Kakinada in association with APSCHE (Andhra Pradesh State Council of Higher Education) from 07th to 21st September, 2020
  • Attended three days Faculty Development Programme on “ Outcome Based Education (OBE) “ and successfully completed online activities , involving 3 days of video lectures and hands on work from 08-July to 10-July 2020.
  • Attended 60 contact hours Faculty Development Program On “Data Science” Held from June1st, 2020 To June 30th, 2020 organized by APSSDC in association with EXCELR.
  • Attended one week Faculty Development program on “Internet of Things and Artificial Intelligence Applications “ organized by KL University, Vijayawada, Andhra Pradesh, India from 1st June to 6th June 2020.
  • Attended Faculty development programme (online live instructor- led) on “Machine Learning and Data Analytics Using Python “conducted by Electronics and ICT academy, IIT Roorkey from 06-May to 14-May 2020.
  • Attended Online FDP on " Artificial Intelligence" from 2020-9-14 to 2020-9-18 at Govt. Women's Polytechnic College, Thrissur (ATAL Academy)
  • Attended Workshop on “Artificial Intelligence & Deep Learning “at SRKR Engineering College, Bheemavaram, Andhra Pradesh. (28/06/2018 to 30/06/2018)
  • Attended Workshop “Cyber Security – Threats and Vulnerability and Assessment “at PSG College of Technology, Coimbatore, Tamilnadu.(08-01-2016 to 09-01-2016)
  • Attended workshop " Andriod Application Development " at PSG College of Technology, Coimbatore, Tamilnadu. (08-08-2015 to 09-08-2015)
  • Attended Workshop " Arabic Learning course for Non-Native speakers " at King Khalid University, Abha, KSA. Feb 2015 to April 2015.
  • Attended Faculty Development Program on "Parallel Programming" on 2nd July 2015 Organized by SCSVMV University, Kanchipuram, Tamilnadu, India
  • Attended Conference at King Khalid University " First Saudi Publishing Conference ", Abha, Kingdom of Saudi Arabia. (28-01-2014 to 30-01-2014)
  • Attended workshop "Secure data aggregation: Wireless sensor networks" at NIT Surat, Gujarat. (15-JUL-2013 to 19-JUL-2013)
  • Attended workshop at SASTRA University about "Intellectual Property Rights in Semiconductor Chips " Thanjavur. July 2006

MOOCS Certifications:Coursera

  • Structuring Machine Learning Projects
  • Convolutional Neural Networks
  • Improving Deep Neural Networks: Hyper parameter tuning Regularization and Optimization
  • AI for Everyone
  • Neural Networks and Deep Learning
  • What is Data Science?
  • Data Science Methodology
  • Python for Data Science and AI
  • Tools for Data Science
  • Data Analysis with Python
  • Data Visualization with Python
  • Database and SQL for Data Science with Python
  • Machine Learning with Python
  • Applied Data Science Capstone
  • Programming for Everybody
  • Python Data structures
  • Introduction to data science in Python
  • Using Python to access web data
  • Introduction to Machine Learning
  • Capstone : Retrieving, Processing and Visualization with Python
  • C For Every one : Structured Programming
  • Exploratory Data Analysis for Machine Learning