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Alva's Institute of Engineering & Technology

A Unit of Alva's Education Foundation(R), Moodubidire

(Affilliated to VTU, Belgaum, Approved by AICTE, New Delhi, Recognized by Govt. of Karnataka)

AIET Faculty

Dr. B.V.Ravindra

Information Science & Engineering

Designation: Professor & HOD
Qualification: B.E, MS, Ph.D
Phone No: 08258- 262724 / 25
Email Id: ravindrabv@aiet.org.in
Teaching Experience: 0 Years
Industry Experience: 2025 Years

Educational Details

UG
B.E, CSEJ.M.I.T,Mysore1993
PG
MSBITS,Pilani University2006
Doctorate
Ph.DMIT MAHE Manipal2021

Experience

  • 1Period (1993-1995)
    Science
    AIT,Chikkamagaluru - Lecture & Lab in charge
  • 2Period (1995-1999)

    Park Controls&Communications(P)Ltd.,Bangalore - Senior Software Engineer
  • 3Period (1999-2000)

    Nexstor India Ltd., New Delhi - Systems manager
  • 4Period (2000-2001)

    DCM technologies Gorgon - Project lead
  • 5Period (2001-2002)

    Sathyam GE Software Services, Secunderabad - Project lead
  • 6Period (2002-2009)

    HCLT Core Technologies, Chennai - Project lead and test lead
  • 7Period (2009-2014)
    Manipal School of Information Science
    MAHE MANIPAL - AS Senior Lecturer, Assistant Professor Senior Scale
  • 8Period (2014-2021)
    Manipal School of Information Science
    MAHE MANIPAL - Assistant Professor Selection Grade
  • 9Period (2021-2025)
    Manipal School of Information Science
    MAHE MANIPAL - Associate Professor
  • 10Period (2025-Till Date)
    Information Science And Engineering
    AIET, Moodbidri - Professor & HOD

Computer science, Computer Applications in Pharmacy, Computer Fundamentals, Cloud Security, Responsive Web Application Development, Theory and Practical’s, Software engineering, Data Mining, DBMS, DBMS Programming in JAVA, System Software, Cloud Security, Internet Engineering, Datamining & Warehousing, Principles of data visualization, Information Security, Modern Databases for BIG Data etc.



C, C++, VC++, Java, Pascal & Assembly Language In 8085, 8086, MANGO DB, Python,
HTML, XML, CSS, PERL, PHP, JSON, LAB-VIEW, GOOGLE CO-LAB.

1)Ravindra .B.V., N. Sriraam, Geetha .M, “Classification of Non-Chronic and Chronic kidney disease using SVM neural network” Published in IJET, 7(1.3) 2018 page no 191-194. (Scopus Indexed).
2)Ravindra .B.V., N. Sriraam, Geetha .M, “Finding Impact of Precedence Based Critical Attributes in Kidney Dialysis DataSet using Clustering Technique” International Journal of Biomedical and Clinical Engineering, 4(1), 43-49, JanuaryJune 2015.
3)4.B.V Ravindra, N. Sriraam and Geetha M, Design IoT and Blockchain based model for secure Recording of Violation Records Design Engineering (Toronto). Dec 2021, p 3669-3675.

4)A NEURAL NETWORK BASED DATA MINING APPROACH FOR RECOGNITION OF CHRONIC KIDNEY DISEASE, Journal of Theoretical and Applied Information Technology, March 2022, v100, pp 1369-1377 .

5)Ravindra .B.V., N. Sriraam, Geetha .M, “A Decision Tree on Data Mining Framework for Recognition of Chronic Kidney Disease” Chapter in a book.

6)B. V. Ravindra, N. Sriraam and M. Geetha, “Discovery of significant parameters in kidney dialysis data sets by K-means algorithm,” International Conference on Circuits, Communication, Control and Computing, Bangalore, 2014, pp. 452-454, doi: 10.1109/ CIMCA- .2014.7057843. (Scopus indexed).

7)B. V. Ravindra, N. Sriraam and M. Geetha, “Chronic Kidney Disease Detection Using Back Propagation Neural Network Classifier,” 2018 International Conference on Communication, Computing and Internet of Things (IC3IoT), Chennai,India, 2018, pp. 65- 68, doi: 10.1109/ IC3IoT.2018.8668110. (Scopus Indexed) .

8)Ahamed Shafeeq B M 1 , Ravindra B V 2 and Zahid Ahmed Ansari 2,Performance of Cluster Analysis with a Modified Whale optimization-based Algorithm. International Conference on Computational Methods in Engineering & Health Sciences (ICCMEH 2023) 2 nd & 3 rd OCTOBER 2023.

9)Ravindra B.V1 ., Narendra VG2 and Shivaprasad G 3,”DECISION TREE MINING FRAMEWORK FOR SURVIVAL PREDICTION OF KIDNEY DIALYSIS PATIENTS”. International Conference on Computational Methods in Engineering &Health Sciences (ICCMEH 2023) 2 nd & 3 rd OCTOBER 2023.

10)Yatin Saluja a, Ravindra BV b, Narendra VG a “PARKINSON’S DISEASE DETECTION USING MACHINE LEARNING”,International Conference on Innovative Discoveries and Emerging Advancements in Applied Sciences iDEAAS 2024 18th-20th April 2024.