Publications

● R. Loganthan, R. Pandiyarajan and Sudha R, Costs and Returns Analysis of Jatropha Plantation and Other Major Crops Grown In Virudhunagar District of Tamil Nadu, India, Frontiers in Crop Improvement, Vol 11: 389-396, 2023 NASS Rating:4.67

● R. Loganthan, R. Pandiyarajan and Sudha R , Comparative Economics of Cultivation of Jatropha and the Competing Crops in Tamil Nadu: A Discounted Net Returns Analysis”, Frontiers in Crop Improvement, Vol 11: 397-400, 2023 NASS Rating:4.67

● R. Loganthan, R. Pandiyarajan and Sudha R , Costs and Returns Analysis of Jatropha Plantation and Other Major Crops Grown in Coimbatore District of Tamil Nadu, India, Frontiers in Crop Improvement, Vol 11: 1157-1163, 2023 NASS Rating:4.67

● Bin Zheng, Maxine Tan, Pandiyarajan Ramalingam, David Gur, Association between Computed Tissue Density Asymmetry in Bilateral Mammograms and Near-term Breast Cancer Risk, Breast Journal, 2014, 20(3):249-57, 2014 (SCI index) Impact factor 2.269

● MaxinTan, Bin Zheng, Pandiyarajan Ramalingam, David Gur, Prediction of Near-term Breast Cancer Risk Based on Bilateral Mammographic Feature Asymmetry, Academic Radiology, 20(12), Pages 1542-1550 ,2013 (SCI Index) Impact factor 4.80

● Pandiyarajan Ramlingam and Bin Zheng, Optimization of a Computer-aided Detection Scheme using a Logistic Regression Model and Information Gain Feature Selection Method, Global Journal of Breast Cancer Research, Vol. 1(1), Pages 1-7, 2013.

● S. Ramathilagam, R. Pandiyarajan2, A. Sathya, R. Devi, S R. Kannan,  Modified Fuzzy C-Mean Algorithm for Segmentation of T1-T2 Weighted Brain MRI,” Journal of Computational and Applied Mathematics, Vol. 235(6), Pages 1578-1586, 2011. ( SCI index)Impact factor: 2.40

● S. R. Kannan, S. Ramathilagam R. Pandiyarajan, R.Devi, A. Sathya, “Improved Fuzzy Clustering Algorithm in Segmentation of DC-Enhanced breast MRI,” Journal of Medical Systems (Springer), DOI 10.1007/s10916-010-9478-z, 2010. (SCI Index Expanded) Impact factor 5.20

● S.R. Kannan, S. Ramathilagam, A. Sathya, R. Pandiyarajan, Effective Fuzzy C-Means Based Kernel Function in Segmenting Medical Images, Computers in Biology and Medicine, Vol. 40(6), Pages 572-579, 2010. (SCI Index) Impact factor 7.70

● S. R. Kannan, S. Ramathilagam, R. Pandiyarajan, Shiguo Lian, A. Sathyaz Improved Fuzzy Clustering Segmentation for Medical Images,” Neural Network world, No3, Vol. 10, pp. 417-426, 2010. (SCI Index Expanded) Impact factor 1.569

● S.R. Kannan, S Ramathilagam, R. Pandiyarajan, A. Sathya,  “Fuzzy clustering Approach in segmentation of T1-T2 brain MRI,” International Journal of Recent Trends in Engineering, Vol. 2, No1, Page 157-160 (November), 2009.

● S. R. Kannan and R. Pandiyarajan,“Fuzzy Model in Decision making of Alternatives,” Advances in Fuzzy sets and Systems, Volume 3(1), Page 1-19 (February), 2008.  ISSN: 1598 – 5865

International and National Conferences:

● S R Kannan, R. Pandiyarajan, Unsupervised clustering techniques: New approach on Fuzzy C-Means,” Proceeding of the Second International Conference on Cognition and Recognition, Pages 525-532, 2008, ISBN: 978-81-8424-307-9.Allied Publishers Pvt. Ltd., India.

● S R Kannan, R. Pandiyarajan, “Fuzzy clustering algorithm: A study on an objective function,” Proceeding of Annual 6th International conference on Information Science Technology and Management,” Pages 71-18, 2008, ISBN: 978-1-935160-02-1, www.cistm.org.

● S R Kannan, S. Ramathilagam, R. Pandiyarajan, “Fuzzy Clustering Techniques for Analyzing Border between Tissues in Medical Images,” Proceeding of the International Conference on Advanced Computing and Communication Technologies for High Performance Applications,” Pages 901-912, September 24-26, 2008.

● S R Kannan, R. Pandiyarajan, New Modified Fuzzy C-Means for Determination of Proper Structure in Dataset” paper has been Published in “Proceedings of the International Conference on Computing, Communication and Control,” ISBN: 978-1-60558-351-8, Pages 177-181 , 2009  Web: http://portal.acm.org/citation.cfm?id=1523140.  

● S.R. Kannan, A. Sathya, S. Ramathilagam, R. Pandiyarajan,  “New Robust Fuzzy C-Means Based Gaussian Function in Classifying Brain Tissue Regions,” IC3 2009, CCIS 40, pp. 158–169, 2009, Springer-Verlag Berlin Heidelberg 2009, ISBN: 978-3-642-03546-3.

● S R Kannan, R. Pandiyarajan, Effective fuzzy c-mean clustering technique for segmentation of T1-T2 brain MRI, in ARTCom09, ISBN: 978-1-4244-5104-3, Proceeding in IEEE Digital Library, pp. 537-539, DOI: 10.1109/ARTCom.2009.63.

● S R Kannan, S. Ramathilagam, R. Pandiyarajan and A. Sathya, Robust Fuzzy C-Means Based for Medical Images, in Proceeding of UGC Sponsored National conference on Recent Trends in Information Technology, ISBN: 978-93-80026-82-4, I.K International Publishing House (P) Ltd.

● S R Kannan., R. Pandiyarajan, S. Ramathilagam, Effective Weighted Bias Fuzzy C-Means In Segmentation of Brain MRI in Proceeding of IEEE, ISBN: 978-1-4244-6624-5, 2010.

● R. Pandiyarajan, Modified Approach to Fuzzy Entropy Clustering Method with Adjustable Membership Characteristics for Image Segmentation, Proceeding of Second International Conference on Computer Applications, ISBN: 978-81-920575-4-5, 2012.

● Bin Zheng, Pandiyarajan Ramalingam, Harishwaran Hariharan, Joseph K. Leader, and David Gur, Prediction of Near term Breast cancer Risk using a Beyesian Belief Network, Proceeding of SPIE, Vol 1(1), Pages 1-7, ISBN: 8673-50

Scientific Book Chapter Published

● S R Kannan, S. Ramathilagam, R. Pandiyarajan, “Modified bias field Fuzzy C-Means for Effective Segmentation of Brain MRI,”LNCS Transactions on Computational Science (Springer), VIII, LNCS 6260, pp. 131–149, 2010.

Best Poster Cum Paper Award, 2013 by SPIE, USA

Best Scientific Researcher Award, 2012 by ASDF, Pondicherry

Travel grant received under the scheme of young scientist from CSIR and DST, india for attending international conference at University of Technology Petronas Malaysia

Jawaharlal Nehru scholarships for doctoral studies by JNMF, New Delhi 2008-2009

DST Sponsored training programme Fourth DST-SERC school on Systems and  Cognitive Neuroscience to be held at NBRC, India, 2011

NBHM Sponsored training Programme Advanced Training Mathematics School to  be held at Harish-Chandra Research Institute, Allahabad, 2012

DST sponsored training programme QIP Short Term Course on Finite Elements: Methods and Error Estimations to be held at IIT, Kanpur, 2018

Participated

Online

Workshop

● National symposium on “Implementation and Application of Mathematics in Real Life” organized by Department of Mathematics, School of Advanced Sciences of VIT Vellore from 8-12 May 2023.

FDP

● FDP on Latest Trends on Computational Mathematics - Theory, Methods & Applications organized vt Department of Mathematics, JIS University on 26 February -1 March 2024

● FDP on “Data Analysis using Advanced Computational Techniques” organized by Department of Statistics and Mathematics, Amity University, Kolkata on 24-28 July 2023.

● FDP on “Current trends and Methodologies in AL and ML” Division of Mathematics, School of Advanced Sciences, VIT, Chennai on 13-17 March 2023

● Lecture Series on “Nonlinear Dynamics and Applications” organized by the Department of Mathematics, Indian Institute of Technology Indore on 13-16th February, 2023

● National FDP on "Data Science with Statistical Methods using R Programming- Basic Course”, Amity University Uttar Pradesh, Lucknow Campus on 10th-14th January 2022

● National FDP on “Statistical and Optimization Techniques Using Software Packagaes”, Aligarh Muslim University, Aligarh on 25-29 October 2021

● National FDP on “Teaching –Learning process for Beginners during COVID -19 Pandemic” Organized by Department of Mechanical Engineering, Visvesvaraya National Institute Technology, Nagpur on 14th-19th   July 2020

● National FDP on “Role of Latex in Scientific Writing” Organized by Department of Mathematics, Babu Banarasi Das Northern India Institute of Technology, Lucknow, Ghaziabad on 19th -21st June 2020

● International FDP on “Skilling Teachers for Online Education” Organized by Department of Humanities, Uka Tarsadia University, Gujarat on 2nd -6th   June 2020.

Academic Experience:

● Assistant Professor, Department of Economics, RVS Agricultural College, Tamilnadu (July 2014 – May 2024)

● Assistant Professor, Department of Science and Humanities, Dhanalakshmi Srinivasan Institute of Technology, Tamilnadu (August  2013 – March 2014)

● Assistant Professor, Department of Science and Humanities, Dhanalakshmi Srinivasan Institute of Technology, Tamilnadu (August  2011 – April 2012)

Research Experience:

M.Phil Mathematics (August 2005- October 2006)

PhD Mathematics (January 2007- July 2011)

Postdoctoral Associate, Imaging Lab, University of Pittsburgh, USA (May 2012-April 2013)

● Active Life Member to the International Association of Engineers

● Advisory Board Member to the Journal of Artificial  Intelligence 

● Advisory Board Member to the World Journal of  Radiology

NIL