Dr. K. VIJAYAKUMAR

Dr. K. VIJAYAKUMAR

Associate Professor

Ph.D. (Computer Science)

vijaykumark.mca@bmsce.ac.in

Research Interests: Data mining, Machine Learning and related areas





About

VIJAYA KUMAR KADAPPA obtained his Ph.D. in computer science from central University of Hyderabad in 2010 and working as Associate Professor at Department of Computer Applications, BMS College of Engineering, Bangalore, since April 2012. Prior to joining BMSCE, he worked as Associate professor about 5 years and as Asst. professor about 7 yrs. in Vasavi College of Engineering Hyderabad. His research interests are in Data Mining and Machine Learning. He received his Bachelor degree in Science from Sri Krishna Devaraya University, Anantapur, AP, India in 1995 and Master degree in Computer Applications from University of Mysore, India in 1998. He has 20 years of teaching and research experience. He executed a R&D project funded by UGC during 2014-2016. He has supervised one Ph.D. scholar and is supervising 2 Ph.D. scholars in the area of Machine learning. Dr. Kadappa has 26 publications and published his research papers in several International journals (6 Elsevier science/ 2 Springer journals) and IEEE/Springer conferences. Dr. Kadappa is a life member of Indian Unit of International Association of Pattern Recognition, ISTE and Computer Society of India.





Education

  • Ph.D. (Computer Science) - ML/Data mining
    School of CIS/ University of Hyderabad (A Central University)
    Passed Year: 2010 | Program Type: PartTime
  • MCA - Computer Applications
    DoS in Computer Science, Manasagangothri, University of Mysore
    Passed Year: 1998 | Program Type: FullTime
  • B.Sc. - Mathematics, Physics, Statistics
    Govt. Degree College, Anantapur, A.P., Sri Krishna Devaraya University
    Passed Year: 1995 | Program Type: FullTime

Selected Publications

  • Journal | Published On : 08-04-2020
    Shankru Guggari, Vijayakumar Kadappa, V. Umadevi, Ajith Abraham
    Music rhythm tree based partitioning approach to decision tree classifier, Journal of King Saud University - Computer and Information Sciences (Elsevier Science Publishers) (Scopus Indexed), 2020,ISSN 1319-1578, https://doi.org/10.1016/j.jksuci.2020.03.015. Available online wef 8th Apr. 2020 (In press)
    Weblink
  • Book Chapter or Books | Published On : 01-01-2020
    Yang Pan, Vijayakumar Kadappa, Shankru Guggari,
    Chapter 15 - Identification of road signs using a novel convolutional neural network, Editor(s): G.R. Sinha, Jasjit S. Suri, Cognitive Informatics, Computer Modelling, and Cognitive Science (Elsevier Science Publishers), Academic Press, 2020, Pages 319-337, ISBN 9780128194430, https://doi.org/10.1016/B978-0-12-819443-0.00015-5.
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  • Conference | Published On : 19-12-2019
    Shankru Guggari and Vijayakumar kadappa and Umadevi V
    Frequent Itemsets based Partitioning Approach to Decision Tree Classifier’, 7th International Conference on Mining Intelligence and Knowledge Exploration (MIKE 2019), at National Institute of Technology, Goa, India, Dec. 19-22, 2019
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  • Journal | Published On : 01-08-2019
    Vijayakumar Kadappa, Shivaraju Nagesh
    Local support-based partition algorithm for frequent pattern mining. Pattern Analysis and Applications, 22, 1137–1147 (2019). https://doi.org/10.1007/s10044-018-0752-x (Springer Publishers)
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  • Journal | Published On : 01-12-2018
    Shankru Guggari, Vijayakumar Kadappa, V. Umadevi,
    Non-sequential partitioning approaches to decision tree classifier, Future Computing and Informatics Journal, Volume 3, Issue 2, 2018, Pages 275-285, ISSN 2314-7288, https://doi.org/10.1016/j.fcij.2018.06.003. (Elsevier Science Publishers)
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  • Conference | Published On : 30-11-2018
    Vijayakumar Kadappa, and Atul Negi
    'Divide-and-Conquer ‘Framework with Feature Partitioning Concepts’, 1st International Conference on Data Science and Analytics, (IEEE PuneCon 2018), Nov. 30-Dec.2 2018, at Symbiosis Institute of Technology, Pune
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  • Conference | Published On : 23-08-2018
    Shankru Guggari and Vijayakumar kadappa and Umadevi V
    ‘Theme based Partitioning Approach to Decision Tree: An Extended Experimental Analysis ’, 3rd International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT-2018), PES College of Engineering (PESCE), Mandya, Karnataka, August 23-24, 2018.
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  • Conference | Published On : 13-09-2017
    Vijayakumar Kadappa
    ‘Bi-directional Partitioning approach to Frequent Item Mining’, International Conference on Advances in Computing, Communications and Informatics (ICACCI-2017), Manipal Institute of Technology,Manipal, Karnataka, Sept. 13-16, 2017.
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  • Conference | Published On : 08-09-2017
    Shivaraju N, Vijayakumar Kadappa, and Shankru Guggari
    ‘A Map-Reduce model of Decision tree classifier using attribute partitioning approach’, International Conference on Current Trends in Computer, Electrical, Electroincs & Communication (ICCTCEEC-2017), Vidyavardhaka College of Engineering, Mysuru, Karnataka, Sept. 8-9 2017.
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  • Conference | Published On : 23-08-2016
    Vijayakumar Kadappa, Shankru Guggari and Atul Negi
    ‘Teacher Recruitment Data Analytics using Association Rule Mining in Indian Context’, IEEE International Conference on Data Science 4and engineering (ICDSE 2016), Cochin University of Science & Technology, Cochin, Kerala, Aug. 23-25 2016.
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  • Journal | Published On : 01-02-2016
    Vijayakumar Kadappa, and Atul Negi
    A theoretical investigation of feature partitioning principal component analysis methods. Pattern Analysis and Applications, 19, 79–91 (2016). https://doi.org/10.1007/s10044-014-0390-x (Springer Publishers)
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  • Conference | Published On : 16-12-2015
    Vijayakumar Kadappa, Shankru Guggari and Atul Negi,
    ‘Decision Tree Classifier using Theme based Partitioning’, International Conference on Computing and Network Communications (CoCoNet 2015), IIIT-M, Trivendrum, Kerala, Dec. 16-19 2015
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  • Journal | Published On : 01-12-2014
    Vijayakumar Kadappa, Atul Negi,
    Global Modular Principal Component Analysis, Signal Processing Journal, Volume 105, 2014, Pages 381-388, ISSN 0165-1684, https://doi.org/10.1016/j.sigpro.2014.06.014. (Elsevier Science Publishers)
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  • Conference | Published On : 14-11-2014
    Vijayakumar Kadappa, and Atul Negi
    ‘Divide-and-Conquer Computational approach to Principal Component Analysis’, 3rd International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2014), Bubaneswar Engineering College, Odisha, India, Nov. 14-15, 2014
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  • Conference | Published On : 22-02-2013
    Kovvur Ram Mohan Rao, Ramachandram S, Vijayakumar Kadappa and Govardhan A
    ‘A Distributed Dynamic Grid Scheduler for Mixed Tasks’, 3rd IEEE International Advance Computing Conference (IACC-2013), Ajay Kumar Garg Engineering College, Ghaziabad, India, Feb. 22-23, 2013
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  • Conference | Published On : 23-09-2011
    Kovvur Ram Mohan Rao, Ramachandram S, Vijayakumar Kadappa and Govardhan A
    ‘A Reliable Distributed Grid Scheduler for Mixed Tasks’, International Conference on Parallel, Distributed Computing technologies and Applications (PDCTA-2011), Manonmaniam Sundharanar University, India, Springer Advances in Parallel and Distributed computing, Vol. 203, Part 1, pp: 213-223, Sept. 23-25, 2011
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  • Conference | Published On : 09-12-2010
    Vijayakumar Kadappa, and Atul Negi
    ‘An Investigation on Recent Advances in Feature Partitioning based Principal Component Analysis Methods’, Second Vaagdevi International Conference on Information Technology for Real World Problems (VCON-2010), Warangal, AP,, India, pp: 90-95, Dec. 9-11, 2010
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  • Conference | Published On : 28-10-2010
    Kovvur Ram Mohan Rao, Ramachandram S, Vijayakumar Kadappa and Govardhan A
    ‘Adaptive Resource Discovery Models and Resource Selection in Grids’, First International conference on Parallel, Distributed and Grid Computing (PDGC-2010), JUIT, Waknaghat, Solan, HP, India, pp: 95-100, Oct. 28-30, 2010
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  • Conference | Published On : 23-08-2010
    Atul Negi and Vijayakumar Kadappa,
    ‘SubXPCA versus PCA: A Theoretical Investigation’, International Conference on Pattern Recognition (ICPR-2010), Istambul, Turkey, pp: 4170-4173, Aug. 23-26, 2010
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  • Conference | Published On : 18-02-2010
    Kovvur Ram Mohan Rao, Ramachandram S, Vijayakumar Kadappa and Govardhan A
    ‘An Experimental Study of Video Conversion using Grid Computing Environment’, International Conference on Control, Communication and Computing (ICCC-2010), University College of Engineering., Trivendrum, India, 18-20 Feb. 2010.
  • Journal | Published On : 01-04-2008
    Vijayakumar Kadappa, and Atul Negi
    ‘SubXPCA and a Generalized Feature Partitioning Approach to Principal Component Analysis’, Pattern Recognition (Elsevier Science International Journal), Vol. 41, Issue 4, pp: 1398-1409, Apr. 2008
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  • Journal | Published On : 01-02-2008
    Vijayakumar Kadappa, and Atul Negi
    Novel Approaches to Principal Component Analysis of Image Data based on Feature Partitioning Framework, Pattern Recognition Letters (Elsevier Science International Journal), Vol. 29, Issue 3, pp: 254-264, Feb. 2008
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  • Conference | Published On : 30-10-2007
    Vijayakumar Kadappa, and Atul Negi
    'A Feature Partitioning Approach to Subspace Classification’, IEEE Region 10 International Conference (TenCon-2007), Taipei, Taiwan, pp: 1-4, Oct. 30-Nov. 2, 2007
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  • Conference | Published On : 16-05-2007
    Vijayakumar Kadappa, and Atul Negi
    'A Novel Approach to Eigenpalm Features using Feature Partitioning Framework’, IAPR Conference on Machine Vision and Applications (MVA-2007), Japan, pp: 29-32, May 16-18, 2007
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  • Conference | Published On : 02-01-2007
    Vijayakumar Kadappa, and Atul Negi
    ‘An Attribute Partitioning Approach to Correlation Connected Clusters’, International Conference on Advances in Pattern Recognition (ICAPR-2007), ISI Kolkata, India, pp: 93-98, Jan. 2-4, 2007
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  • Conference | Published On : 28-11-2005
    Vijayakumar Kadappa, and Atul Negi
    An Experimental Study of Sub-pattern based Principal Component Analysis and Cross-subpattern-correlation based Principal Component Analysis (SubXPCA)’, Image and Vision Computing Conference (IVCNZ-2005), New Zealand, pp: 20-25, Nov. 28-29, 2005.
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Other Information

"· An R&D project on Teacher recruitment modeling funded by UGC was executed during 2014-16.
· Research paper incentive awarded by BMSCE in 2013, 2014, 2016 and 2019
· Reviewer for many international conferences
· Curriculum development for courses: Statistics, Data science, Machine Learning, Big data analytics, Software Project Management, Discrete mathematics, Deep Learning.
· Invited talks:
o Research talk on Feature partitioning based PCA methods in Researchers enclave on Computational Intelligence and Machine Learning held at Aditya Institute of Technology, Coimbatore from 7th to 8th Sept. 2012.
o Resource person for TEQUIP II sponsored 1 week FDP on Machine Learning (Two sessions on PCA and Teacher Recruitment Case studies) by JNTU College of Engineering, Kukatpally, Hyderabad on 15th April 2016.
o Resource person at One week FDP on “Mathematical modeling for Research problems” organized by Dept. of MCA, BMSITM during 25th to 29th June 2018. Topic: Mathematical modeling in Data mining (26th June 2018)
Resource person at one week FDP on Machine learning and its applications organized by BGS University, BGS Nagara during 22-27th Jan. 2020.
Resource person at NRI Institute of Technology, Agiripalli, Krishna Dt., Andhra Pradesh, as part of AICTE sponsored one week Short
Term Training Programme On Predictive Analytics using Artificial Intelligence (STTP-PAUAI) Nov./Dec. 2021
ˆ Resource person in IPR and Innovations in Technology workshop (MHRD Innovation cell and AICTE sponsored) organized by KLM college of engg., Kadapa, A.P. on 2nd July 2020. Topic: Machine learning and its applications.
Resource person at one week ATAL FDP on AI organized by GSSSIT, Mysuru Jan. 2021







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