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Dr. P. SRINIVASA RAO, Associate Professor

P S RAO

Dr. P. SRINIVASA RAO
Associate Professor

Education Qualifications: 2024,Ph.D in CSE from VIT-AP, Guntur.
2014,M.Tech(CSE) from EVM College of Engineering, JNTUK, Kakinada.
2012,B.Tech(IT) from Eswar College Of Engineering & Technology,JNTUK, Kakinada.
Research Interests: Data Warehousing and Data Mining, Machine Learning, Deep Learning, Soft Computing
Number of Papers Published: 9 (Journals: 6 & Conferences: 3)
Membership in Scientific and
Professional Societies:		 Life Member in IAENG
Date of Joining: 31st July 2023
Subjects Handled: Operating systems, Soft Computing, Python, Machine-Learning, Optimization Techniques, Mobile Computing.

Achievements

  1. Invited JNTU-Narasaraopet as a Guest lecture on “Python Programming”.
  2. For the academic year 2017-2018, I received the CBIT's Best Teacher Award.
  3. Invited to speak at Preludes Systems in Chennai on identifying flaws in Professional Testing skills in hybrid applications.

International/National Journal Publications: ( Web of Science-0, Scopus-3, SCIE-3,UGC-2)

  1. published a paper on "Performance Analysis of a Parameter Selection Model on a Big Data Set" in International Journal of Intelligent Systems and Applications in Engineering (IJISAE)- ISSN:2147-6799 Scopus Indexed.
  2. published a paper on "Handling Information Security Wisely Utilising the Aggressive Cuckoo Search Algorithm in Lock Systems" in International Journal of Intelligent Systems and Applications in Engineering (IJISAE)- ISSN:2147-6799 Scopus Indexed.
  3. published a paper on “Multi-Objective -Materialized view selection using Flamingo Search Optimization Algorithm in” “Software Practice & Experience” (WILEY) -SCIE Indexed..
  4. published a paper on A new hybrid Aquila optimizer with a genetic algorithm for materialized view selection in data warehouses in “International Journal of Cooperative Information Systems” (World Scientific)-SCIE..
  5. published a paper on an optimal materialized view selection using ensemble constraint handling approach and hybrid Ebola and coot optimization in “Computer Systems Science and Engineering” (Tech Science Press)-SCIE.
  6. published a paper on Using Various Processing Methods to Identify Lung Cancer in International Journal on Future Revolution in Computer Science & Communication Engineering ISSN: 2454-4248 Volume: 4 Issue: 3 459 – 462.
  7. published a paper on Analysis of Healthy Diet Recommendation using various Algorithms in Web Data Mining in International Journal on research (IJR) e-ISSN: 2348-6848,p-ISSN: 2348-795XVolume 04 Issue 13October 2017.
  8. published a paper on Noise Dismissal from Images Using Non-linear Algorithms in IJSRCSEIT. Volume 3 | Issue 3 | ISSN : 2456-3307.

International/National Conferences

  1. Attended and presented a paper titled "An Expert Uncertainty in Healthcare Using Materialized View through Big-Query" in IEEE ICACET -2023, Bhilai, Chhattisgarh, INDIA..
  2. Attended and presented a paper titled "A Neural Network to handle Multi class classification of Sentiment Analysis" in IEEE ICACET -2023, Bhilai, Chhattisgarh, INDIA.
  3. Attended and presented a paper titled "Adaptive Query Building using Materialized View through Big Query" in ICMR-19 conducted by KSK College of Engineering and Technology, Kumbakonam on 05.03.2019.

Seminars, Webinars & Workshops:

  • Attended a Two- day National Workshop on “Data Analytics UsingR at CBIT, Hyderabad.
  • Attended a Five-day National Workshop on “one week faculty development program on quality measures in technical education at CBIT, Hyderabad..
  • Attended a one week National Workshop on “Bigdata analytics at NIT-Warangal.
  • Attended a Two day National Level Workshop on international block chain congress (IBC) at Hyderabad. Conducted by Government of Telangana.on 14th&15th March 2019.

Faculty Development Programmes (FDPs):

  • Attended a one week faculty development program on data science big data analytics at Malineni Perumallu educational society’s Guntur.

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