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Dr. Arun Kumar C.

Assistant Professor (SG), School of Computing, Coimbatore

Qualification: M.Tech
c_arunkumar@cb.amrita.edu
Arun Kumar C's Google Scholar Profile
Research Interest: Bioinformatics, Machine Learning

Bio

Dr. Arun Kumar C. currently serves as Assistant Professor (SG) at School of Computing, Coimbatore Campus. His areas of research include Bioinformatics and Machine Learning. In addition to the academic activities, to name some of the activities carried out under his leadership,

  • Vice Chairman – Council of Wardens, Hostels of Amrita Vishwa Vidyapeetham, Coimbatore
  • Co-Convenor – ANOKHA
  • State level IETE student Forums coordinator
  • Reviewer board for Elsevier and Springer journals
  • Secretary General of VIT Alumni Association which has 50000 members for 2014-16
  • Charter President, VIT Alumni Association Coimbatore Chapter
  • Recipient of the Most Active Domestic Chapter Award of VIT Alumni Association for 2013-2014 during my tenure as President
  • Member – Technical Program Commitee, GS Multi International Conference on Science and Technology,November 2014, Dubai,UAE
  • Member – Machine Intelligence Research Labs, USA.
  • Chief Coordinator – IEEE All India Student Congress, 3-6 October 2013
  • Chief Coordinator – IEEE Face to Face Meet, April 2013
  • Program Director – Infosys Campus Connect during 2007-2008
  • Executive Secretary for the International Conference on Cloud Computing, Smart Grid and Green I.T 2009
  • Has coordinated at the department level for the Institution’s NAAC accreditation and the institution obtained the highest “A” grade in 2014.
  • Former Member of the Rotary club of Pollachi and has also received an award for offering the best of services to the club during 2007-08
  • Co-Convenor for the AICTE sponsored National seminar on Mobile and Network Security 2007

He is responsible for starting “Institution of Electronics and Telecommunication Engineers”(IETE) student forums in all engineering colleges and polytechnics in Tamil Nadu under the jurisdiction of IETE Coimbatore center which expands its wings to more than 12 districts in Tamil Nadu. He has also inaugurated student forums and delivered technical and non-technical lectures in more than 50 engineering colleges in Tamil Nadu including some of the premier institutions like Vellore Institute of Technology, PSG college of Technology, Coimbatore Institute of Technology and so on. He also assisted Amrita Vishwa Vidyapeetham in conducting a one day tutorial in the area of Network Security in association with Symantec Corporation at IIT Madras during May 2010 as a part of IFIP-Networking 2010. He has also proctored and mentored the IEEE Extreme programming contest, a 24 hour online coding contest during October 2011 in which his team received the All India Ranking of 8 among 1500 teams that took part in the contest across the globe at the same time. IEEE Chapter of Amrita School of Engineering, Coimbatore won the Third prize in the IEEE Region 10(Asia Pacific Region) in the website design competition under his leadership. He was also appointed as the Organizing Secretary for the International Conference on Distributed Computing and Networking 2014 which is one of the top 10 conferences in the world to be hosted at Amrita in 2014. He is a life member of IETE and Machine Intelligence Research Labs, USA. He has published more than 15 papers in leading national and international conferences and journals.

 

Publications

Journal Article

Year : 2019

Prediction of cancer using customised fuzzy rough machine learning approaches.

Cite this Research Publication : A. Chinnaswamy and Ramakrishnan, S., “Prediction of cancer using customised fuzzy rough machine learning approaches.”, Healthc Technol Lett, vol. 6, no. 1, pp. 13-18, 2019.

Publisher : Healthc Technol Lett

Year : 2018

Rough Set Based Variable Tolerance Attribute Selection on High Dimensional Microarray Imbalanced Data

Cite this Research Publication : A. Chinnaswamy, Ramakrishnan, S., and Sooraj, M. P., “Rough Set Based Variable Tolerance Attribute Selection on High Dimensional Microarray Imbalanced Data”, Data Enabled Discovery and Applications, 2018.

Publisher : Data Enabled Discovery and Applications.

Year : 2018

Attribute Selection using Fuzzy Roughset based Customized Similarity Measure for Lung Cancer Microarray Gene Expression Data

Cite this Research Publication : A. Chinnaswamy and Ramakrishnan, S., “Attribute Selection using Fuzzy Roughset based Customized Similarity Measure for Lung Cancer Microarray Gene Expression Data”, Future Computing and Informatics Journal, vol. 3, pp. 131 - 142, 2018.

Publisher : Future Computing and Informatics Journal .

Year : 2018

Genetic Algorithm Based Hybrid Attribute Selection using Customized Fitness Function

Cite this Research Publication : A. Chinnaswamy, Ramakrishnan, S., and Dheeraj, S. S., “Genetic Algorithm Based Hybrid Attribute Selection using Customized Fitness Function”, Lecture Notes in Computational Vision and Biomechanics, vol. 28, pp. 1-10, 2018.

Publisher : Lecture Notes in Computational Vision and Biomechanics

Year : 2016

Modified Fuzzy Rough Quick Reduct Algorithm for Feature Selection in Cancer Microarray Data

Cite this Research Publication : A. Chinnaswamy and Ramakrishnan, S., “Modified Fuzzy Rough Quick Reduct Algorithm for Feature Selection in Cancer Microarray Data”, Asian Journal of Information Technology, vol. 15, no. 2, pp. 199–210, 2016.

Publisher : Asian Journal of Information Technology

Year : 2016

A comparative study of hybrid feature selection methods using correlation coefficient for microarray data

Cite this Research Publication : A. Chinnaswamy and Ramakrishnan, S., “A comparative study of hybrid feature selection methods using correlation coefficient for microarray data”, Journal of Network and Innovative Computing, vol. 4, no. 1, pp. 164–174, 2016.

Publisher : Journal of Network and Innovative Computing.

Year : 2015

A Study on Automation of Blood Donor Classification and Notification Techniques

Cite this Research Publication : A. Chinnaswamy, Natarajan, S., G, G., and V, K. Kiran P., “A Study on Automation of Blood Donor Classification and Notification Techniques”, International Journal of Applied Engineering Research, vol. 10, pp. 18503-18514, 2015.

Publisher : International Journal of Applied Engineering Research

Year : 2015

A Comparative Study of different Classifiers on Microarray Cancer Gene Expression Data

Cite this Research Publication : A. Chinnaswamy and .Ramakrishnan, S., “A Comparative Study of different Classifiers on Microarray Cancer Gene Expression Data”, Australian Journal of Basic and Applied Sciences, no. 27, pp. 145-151, 2015.

Publisher : Australian Journal of Basic and Applied Sciences

Year : 2014

Automated Classification and Segregation of Brain MRI Images into Images captured with respect to Ventricular region and Eye ball region

Cite this Research Publication : A. Chinnaswamy, Husshine, S. R., Giriprasanth, V. P., and Prasath, A. B., “Automated Classification and Segregation of Brain MRI Images into Images captured with respect to Ventricular region and Eye ball region”, ICTACT JOURNAL ON IMAGE AND VIDEO PROCESSING, vol. 4, no. 4, pp. 831-834, 2014.

Publisher : ICTACT JOURNAL ON IMAGE AND VIDEO PROCESSING

Year : 2014

Age Group Estimation using Facial Features

Cite this Research Publication : A. Chinnaswamy, V, P. Kumar R., and R, S. Arvind, “Age Group Estimation using Facial Features”, International Journal of Emerging Technologies in Computational and Applied Sciences(IJETCAS), vol. 2, no. 8, pp. 182-186, 2014.

Publisher : International Journal of Emerging Technologies in Computational and Applied Sciences(IJETCAS)

Year : 2014

A Hybrid Approach to Normalize the Light Illumination in Facial Images using DCT and Gamma Transformations

Cite this Research Publication : A. Chinnaswamy, Raghuram, T., and Sekharan, M. N., “A Hybrid Approach to Normalize the Light Illumination in Facial Images using DCT and Gamma Transformations”, International Journal of Emerging Technologies in Computational and Applied Sciences(IJETCAS), vol. 1, no. 7, pp. 106-112, 2014.

Publisher : International Journal of Emerging Technologies in Computational and Applied Sciences(IJETCAS)

Year : 2014

Two Step Feature Extraction Method for Microarray Cancer Data using Support Vector Machines

Cite this Research Publication : A. Chinnaswamy and Ramakrishnan, S., “Two Step Feature Extraction Method for Microarray Cancer Data using Support Vector Machines”, International Journal of Computer Applications, vol. 85, no. 8, pp. 34-42, 2014.

Publisher : International Journal of Computer Applications

Year : 2014

Content Restoration of Degraded Termite Bitten Document Images

Cite this Research Publication : A. Chinnaswamy and Raj, V., “Content Restoration of Degraded Termite Bitten Document Images”, International Journal of Engineering Research and Applications, vol. 4, no. 5, pp. 151-155, 2014.

Publisher : International Journal of Engineering Research and Applications

Year : 2013

Image Mosaicking with Modified SURF

Cite this Research Publication : A. Chinnaswamy, .M, S. K., and Aadithyan, “Image Mosaicking with Modified SURF”, International Journal of Emerging Technologies in Computational and Applied Sciences(IJETCAS), vol. 5, no. 4, pp. 452-454, 2013.

Publisher : IJETCAS

Conference Proceedings

Year : 2017

Performance Analysis of Classifiers on Filter-Based Feature Selection Approaches on Microarray Data

Cite this Research Publication : A. Chinnaswamy and Srinivasan, R., “Performance Analysis of Classifiers on Filter-Based Feature Selection Approaches on Microarray Data”, Bio-Inspired Computing for Information Retrieval Applications. IGI Global, pp. 41-70, 2017.

Publisher : Bio-Inspired Computing for Information Retrieval Applications

Year : 2017

Hybrid Information Gain Based Fuzzy Roughset Feature Selection in Cancer Microarray Data

Cite this Research Publication : A. Chinnaswamy and Ramakrishna, S., “Hybrid Information Gain Based Fuzzy Roughset Feature Selection in Cancer Microarray Data”, Proceedings of IEEE International Conference on Innovations in Power and Advanced Computing Technologies. IEEE, Vellore Institute of Technology, Vellore, India, 2017.

Publisher : Proceedings of IEEE International Conference on Innovations in Power and Advanced Computing Technologies

Year : 2017

Finding Expressed Genes using Genetic Algorithm and Extreme Learning Machines

Cite this Research Publication : A. Chinnaswamy, Sooraj, M., and Ramakrishnan, S., “Finding Expressed Genes using Genetic Algorithm and Extreme Learning Machines”, 2017 4th International Conference on Advanced Computing and Communication Systems, ICACCS 2017. Institute of Electrical and Electronics Engineers Inc., 2017.

Publisher : 2017 4th International Conference on Advanced Computing and Communication Systems, ICACCS 2017

Year : 2017

A Comparative Performance Evaluation of Supervised Feature Selection Algorithms on Microarray Datasets

Cite this Research Publication : A. Chinnaswamy, Sooraj, M. P., Ramakrishnan, S., and M., G., “A Comparative Performance Evaluation of Supervised Feature Selection Algorithms on Microarray Datasets”, Procedia Computer Science, vol. 115. Elsevier B.V., pp. 209-217, 2017.

Publisher : Procedia Computer Science, Elsevier B.V

Year : 2016

A hybrid approach to feature selection using correlation coefficient and fuzzy rough quick reduct algorithm applied to cancer microarray data

Cite this Research Publication : A. Chinnaswamy and Ramakrishnan, S., “A hybrid approach to feature selection using correlation coefficient and fuzzy rough quick reduct algorithm applied to cancer microarray data”, 10th International Conference on Intelligent Systems and Control (ISCO), 2016 , vol. 15. IEEE, Karpagam College of Engineering, Coimbatore, India, pp. 414-419, 2016.

Publisher : 10th International Conference on Intelligent Systems and Control (ISCO), 2016 , IEEE.

Year : 2015

Hybrid feature selection using correlation coefficient and particle swarm optimization on microarray gene expression data

Cite this Research Publication : A. Chinnaswamy and Srinivasan, R., “Hybrid feature selection using correlation coefficient and particle swarm optimization on microarray gene expression data”, Proceedings of the 6th International Conference in Bioinspired Computing and Applications, Advances in Intelligent Systems and Computing. Springer, ToC H Institute of Science and Technology, Kochi, India, 2015.

Publisher : Proceedings of the 6th International Conference in Bioinspired Computing and Applications, Advances in Intelligent Systems and Computing

Year : 2014

Binary Classification of cancer microarray gene expression data using extreme learning machines

Cite this Research Publication : A. Chinnaswamy and Ramakrishnan, S., “Binary Classification of cancer microarray gene expression data using extreme learning machines”, IEEE International Conference on Computational Intelligence and Computing Research (ICCIC), 2014 . IEEE, 2014.

Publisher : IEEE International Conference on Computational Intelligence and Computing Research (ICCIC), 2014

Year : 2013

Analysis of Classification Techniques for Microarray Cancer data using Support Vector Machines

Cite this Research Publication : A. Chinnaswamy and Ramakrishna, S., “Analysis of Classification Techniques for Microarray Cancer data using Support Vector Machines”, Proceedings of International Conference on Bio-Signals, Images and Instrumentation. SSN College of Engineering, Chennai, India, 2013.

Publisher : Proceedings of International Conference on Bio-Signals, Images and Instrumentation

Year : 2012

A Survey of Different Stages for Monitoring Traffic Rule Violation

Cite this Research Publication : R. Aarthi, Chinnaswamy, A., and Dr. Padmavathi S., “A Survey of Different Stages for Monitoring Traffic Rule Violation”, Communications in Computer and Information Science, vol. 270 CCIS. Vellore, pp. 566-573, 2012.

Publisher : Communications in Computer and Information Science

Year : 2011

Automatic Isolation and Classification of Vehicles in a Traffic Video

Cite this Research Publication : R. Aarthi, Chinnaswamy, A., and K. Raghesh Krishnan, “Automatic Isolation and Classification of Vehicles in a Traffic Video”, Proceedings of the 2011 World Congress on Information and Communication Technologies (WICT 2011). Mumbai, India., pp. 357-361, 2011.

Publisher : Proceedings of the 2011 World Congress on Information and Communication Technologies (WICT 2011)

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