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From the Desk of the Vice Chancellor

Greetings!

As the Vice Chancellor of this premier university, I am extremely pleased to share this space to converse with all of you. The University of Madras is a post- sesquicentennial institution which has forged a glorious path for itself and has been the site for significant scientific discoveries as well as the beacon for national and regional societal transformation. It has successfully managed to hold aloft its tradition even while keeping up with the emerging trends. One reason for this is the way in which the university has kept alive its interactions with all the stakeholders.

The COVID 19 pandemic has introduced a ‘new normal’ and its impact is felt in the workings of the university as well. The students have been attending the lectures online. While online learning has the advantage of being anytime and anywhere, it has taken away the peer group interaction and peer learning which are integral aspects of the university experience. We look forward to welcoming you to the campus very soon. Meanwhile, our faculty and administration will continue to bring the best to the virtual classrooms. As students, you need to view the restrictions posed by the pandemic as a temporary deterrent. Your focus should be to gain the competencies to conduct application oriented research in order to evolve as useful citizens of our society.

Our university boasts of faculty with a high degree of knowledge and commitment to offer the best in teaching and research. Given the context of the pandemic, we need to redefine our teaching-learning processes to offer the best pedagogic experience to our students. Similarly, the post-pandemic era demands that we hone the employment potential and entrepreneurial capacity of our learners. This necessitates that we focus on sponsored research in cutting edge areas.

Our administrative staff have been the backbone of the university. While we move towards a transparent and complete e-governance model, we need more support from you. When the teaching-learning process at our university – from admission to certification -- is moving into the digital era, your skills and competencies need to keep pace.

At our university, we are gearing up for the final round of NAAC re-accreditation. This has offered us an opportunity to assess our Strengths, Weaknesses, Opportunities and Challenges. Further, it has made us more determined to reiterate our quality benchmarks in teaching, research and extension activities. We are aware of this responsibility and fully prepared for it because, our university has always encouraged individual thinking within the established frameworks. This is echoed in the words of Tim Burners Lee, who initiated the World Wide Web: “We are forming cells within a global brain and we are excited that we might start to think collectively. What becomes of us still hangs crucially on how we think individually.” Let us unite to make the educational experience at the University of Madras a synergy of the best minds and best thoughts.

Prof.Dr.S.Gowri

Vice-Chancellor
University of Madras

Department of Computer Science

Dr. M. SornamM.Sc., M.C.A. Ph.D

Professor

Dr. M. Sornam is Professor in the Department of Computer Science, University of Madras. He/She has graduated in Published 112 publications in Indian / international journals and papers in national/international seminars, organized & participated in 56 workshops/seminars. His/Her area of specialization is/are Artificial Neural Networks, 

Address:

Department of Computer Science University of Madras Guindy Campus Chennai - 600025

Contact:

Phone: 044-22202904
Mobile: 9841166535
Email: godsor28@unom.ac.in
madasamy.sornam@gmail.com

Specialization

ARTIFICIAL NEURAL NETWORKS

Qualification
No data Found
Experience
    No data Found
Acheivements

National

  • UGC MERIT SCHOLARSHIP DURING M.Sc MATHEMATICS AT RIASM 1985-87
  • Ph. D AWARDED IN THE YEAR 2013
  • Best Paper award -- M . Sornam, E. Panneer Selvam, “Detection of Epileptic Seizure from EEG Signal Using Wavelet Transform and Deep Learning Techniques”, Int. Conf. on Recent Trends in Computing Technologies (ICRTCT-18)
  • Best Paper Award M. Sornam and RamyaPonniah,” Oilspill and Look-Alike Spots from Sar Imagery using OTSU Method and Artificial Neural Network”, National Conference on Recent Trends in Intelligent Systems(RTIS’15), March 12-13, 2015, ISBN: 978-93-80366-19-7, PP:17.
  • Best paper award M.Sornam and C.VishnuPriya, ”Handwritten Tamil Font Identification Using Deep Learning”, Intl. Conf on Recent Innovations in Computational Science(ICRICS 17), Hindustan Arts and Science College, Padur, ISBN- 978-81-8209-432-1, September 20th - 21st,2017,pp: 106-109.
  • Best Oral Presentation Award- Nithya. L and M. Sornam, “Gender Identification Using Panoramic Dental Images with Deep Convolutional Neural Networks”, International Conference on Biomedical Materials Innovations (ICBMI'20) , Bharathiar University Coimbatore, 2020
  • Best Poster Presentation Award- Vijayalakshmi. L and M. Sornam, “Fuzzy Logic and Convolutional Neural Network to identify Tomato Diseases”, Bharathiar University Coimbatore, 2020
Membership

National

  • Member, Doctoral Committee - Ph.D Computer Science -Gandhigram Rural University 
  •   Member, Doctoral Committee- Ph.D Computer Science- Vels University
  • Member, Doctoral Committee- Ph.D Computer Science- Dr. Ambedkar College
  •   Member, Doctoral Committee- Ph.D Computer Science- Dravidian University, Andhra Pradesh.
  •   Member, Doctoral Committee- Ph.D Computer Science- Avinashlingam Women’s University
  • Member, Doctoral Committee- Ph.D Computer Science- SCSVMV University
  •   Member - Board of Studies -SDNB Vaishnav College
  •   Member - Board of Studies – WCC College
  •   Member - Board of Studies- Sri Sankara College
  •    Member - Board of Studies – L. N. Govt. College
  •    Member - Board of Studies-MCC College
  • Member - Board of Studies- D.G. Vaishnav College
  • Member - Board of Studies- Presidency College
  •   Inspection Commission Member - ThiruthangalNadar College - 2017.
  •   Inspection committee Member – JNN College - 2017
  • Member - Board of Studies -Ethiraj College
  • Member - Board of Studies- JBAS College

International

  • ACM transactions
Awards
No data Found
Research
  • Publications
  • Projects
  • Ph.D Scholars
  • Post Doctoral Scholar

Publications

Papers (Total Papers: 61)
  • S. Nithiyanantha Vasagam and M. Sornam, "Assessment of intermittent leather based on GLCM Features", International Conference on Mathematical Computer Engineering (ICMCE 2020), 21-22 February 2020, Vellore Institute of Technology, Chennai, India; Pages 166-167; ISBN: 978-93-81899-37-3,  S. Nithiyanantha Vasagam, M. Sornam,  International Conference on Mathematical Computer Engineering (ICMCE 2020),  (2020), 
  • M. Meharunnisa and M. Sornam, “Heart disease prediction system using ensemble predictive modeling with Principal Component Analysis”, International Conference on Mathematical Computer Engineering (ICMCE-2020), VIT(Vellore Institute of Technology) Chennai, 21-22 February 2020, ISBN: 978-93-81899-37-3,  M. Meharunnisa, M. Sornam,  International Conference on Mathematical Computer Engineering (ICMCE-2020),  (2020), 
  • Poornima Devi. M, Sornam. M, "Document Image Classification of Historical Tamil Tal-Patra Manuscript using Optimized Feed Forward Neural Network", International Conference on Mathematical Computer Engineering (ICMCE-2020), VIT(Vellore Institute of Technology) Chennai, 21-22 February 2020, pages: 165- 166, ISBN: 978-93-81899-37-3,  Poornima Devi. M, Sornam. M,  International Conference on Mathematical Computer Engineering (ICMCE-2020),  (2020), 
  • V. Vanitha and M. Sornam, “Noise booster third term Backpropagation algorithm- Inertia and Chebyshev orthogonal polynomial”, International Multidisciplinary Conference on Current Research Trends, 19-20 September 2020,  V. Vanitha, M. Sornam,  International Multidisciplinary Conference on Current Research Trends,  (2020), 
  • M. Sornam and L. Nithya, “Deep Learning in Dentistry and Improving Technologies in Nano Hydroxyapatite-N-Hap”, International e-Conference on Recent Trends and Technologies in Soft Computing(ICRTSC’20), St. Peter’s Institute of Higher Education and Research, Chennai, 25th September 2020,  M. Sornam, L. Nithya,  International e-Conference on Recent Trends and Technologies in Soft Computing(ICRTSC’20),  (2020), 
  • M. Sornam and Vijiyalakshmi. L, “Implementation of Fuzzy Logic in Diverse Fields”, International e-Conference on Recent Trends and Technologies in Soft Computing(ICRTSC’20), St. Peter’s Institute of Higher Education and Research, Chennai, 25th September 2020,  M. Sornam, Vijiyalakshmi. L,  International e-Conference on Recent Trends and Technologies in Soft Computing(ICRTSC’20),  (2020), 
  • M. Sornam and L. Nithya, “Deep Convolution Networks in Gender Classification using Dental X-Ray Images”, 6th International Conference onArtificial Intelligence and Evolutionary Computations in Engineering Systems(ICAIECES 2020), Organised by Department of Electrical and Electronics Engineering, College of Engineering, Guindy Anna University, Chennai, 2020,  M. Sornam, L. Nithya,  Conference onArtificial Intelligence and Evolutionary Computations in Engineering Systems(ICAIECES 2020),  (2020), 
  • M. Sornam and Vijiyalakshmi. L, “Tomato Disease Detection using Convolutional Neural Network and Fuzzy Logic”, 6th International Conference onArtificial Intelligence and Evolutionary Computations in Engineering Systems(ICAIECES 2020), Organised by Department of Electrical and Electronics Engineering, College of Engineering, Guindy Anna University, Chennai, 2020,  M. Sornam, Vijiyalakshmi. L,  International Conference onArtificial Intelligence and Evolutionary Computations in Engineering Systems(ICAIECES 2020),  (2020), 
  • Anisha Thangakani S and M Sornam, “Deep Convolutional Neural Network for Skin Lesion Detection with HOG and GLCM features”, International Conference on Biomedical Materials Innovations (ICBMI'20) , Bharathiar University, Coimbatore, Dec 7 to 9 - 2020,  Anisha Thangakani S, M Sornam,  International Conference on Biomedical Materials Innovations (ICBMI'20),  (2020), 
  • M. Sornam and Vijiyalakshmi. L, “Fuzzy Logic and Convolutional Neural Network to identify Tomato Diseases'', International Conference on Biomedical Materials Innovations (ICBMI'20) , Bharathiar University, Coimbatore, Dec 7 to 9, 2020,  M. Sornam, Vijiyalakshmi. L,  International Conference on Biomedical Materials Innovations (ICBMI'20),  (2020), 
  • M. Sornam and L. Nithya, “Gender Identification Using Panoramic Dental Images with Deep Convolutional Neural Networks”, International Conference on Biomedical Materials Innovations (ICBMI'20) , Bharathiar University, Coimbatore Dec 7 to 9, 2020,  M. Sornam, L. Nithya,  International Conference on Biomedical Materials Innovations (ICBMI'20),  (2020), 
  • M Meharunnisa,M Sornam, "Integration of Random Forest Approach with Deep Learning technique to predict the gene type (Streptomyces,Paenibacillus,Bacillus) based on the conserved regions in 16S Ribosome RNA Sequences", International Virtual Conference on Biomedical Materials Innovation (ICBMI-2020), 06th-09th December 2020, Bharathiar University, Coimbatore, 2020,  M Meharunnisa,M Sornam,  nternational Virtual Conference on Biomedical Materials Innovation (ICBMI-2020),  (2020), 
  • Poornima Devi. M, Sornam. M, "Analysis of Palm leaf or Tal-Patra Manuscript collections to bridge between cultures", Presented in National Seminar on Remembering the Cultural Heritage of Tamil Nadu through Monuments organized by P.G. & Research Department of History, Government Arts College, Thiruvannamali; Villupuram Historical Research Centre (VHRC) and Thiruvannamalai District Centre for Historical Research (TCHR), 29th February 2020,  Poornima Devi. M, Sornam. M,  National Seminar on Remembering the Cultural Heritage of Tamil Nadu through Monuments,  (2020), 
  •   "A Survey on Skin Classification Mehtods Using Deep Learning Techniques", International Conference on Communication, Computing and Information Technology (ICCCMIT-2019), Feb 2019.,  M. Sornam, AnishaThangakani. S,  (2019), 
  •   "A Hybrid RBF Network with GA for Systematic Classification of Historical Tamil Palm Leaf Manuscript", Presented in Fourth International Conference on Communication, Computing and Information Technology (ICCCMIT 2019), Feb2019.,  Poornima Devi. M, Sornam. M,  (2019), 
  •   "Speedy convergence of Neural Network models using Principal Component Analysis for Plants Classificaiton", Intl. Conf on Communication, Computing and Information Technology(ICCCMIT 2019), Feb 2019.,  M. Sornam and V. Vanitha,  (2019), 
  •   “Analysis of Semi-Furnished Leathers based on feture extraction and statistical measures”, UGC- SAP National Conference on Pattern Recognition Informatics and Medical Engineering (PRIME -2019), March 2019, pp:10.,  S. NithyananthaVassagam, M. Sornam,  (2019), 
  • “Study on Sensor based human activity recognition using Deep Learning Techniques”, UGC- SAP National Conference on Pattern Recognition Informatics and Medical Engineering (PRIME -2019), March 2019.,  M. Sornam, R. Karthiga Sri,  (2019), 
  • Anisha Thangakani S, M Sornam, “Skin Lesion Detection and Segmentation Using SVM and Bayesian Classifier”, International Conference on Computing Paradigms (ICCP 2019),  Don Bosco College (Co-Ed), Yelagiri Hills 30-31, August 2019.,  Anisha Thangakani S, M Sornam,  International Conference on Computing Paradigms (ICCP 2019),  (2019), 
  • M. Sornam, R. Karthiga Sri, “Evolutionary Model and Fuzzy Finite State Machine For Human Activity Recognition”, International Conference on Computing Paradigms (ICCP 2019),  Don Bosco College (Co-Ed), Yelagiri Hills 30-31, August 2019,  M. Sornam, R. Karthiga Sri,  International Conference on Computing Paradigms (ICCP 2019),  (2019), 
  • “Mobile Cloud Computing Research-Applications, Architectures, and Authentications”, INCIOT 2018, GSS Jain College for Women, pp: 1-4.,  M. Sornam and M. R. Sudha,  (2018), 
  • Logit based Artificial Bee Colony Optimization(LBABC) approach for Dental Caries classification using Backpropagation NeuralNetwork”, Springer sponsored Intl conf on Integrated Intelligent Computing, communication & Security (ICIIC-2018) 24-25th Jan 2018, SJB inst of technology, Bangalore-60.,  M. Sornam, M. Prabhakaran,  Springer sponsored Intl conf on Integrated Intelligent Computing, communication,  (2018), 
  • Role of Data mining techniques in building smarter and greener environment – A Study”, IEEE Intl.Conf on Computer, Communication and Signal Processing (ICCCSP-2018), 22-23 February 2018, SSN College, Chennai, ISBN:978-1-38-1141-8.,  M. Sornam , M. Mehrunnisa,  Intl.Conf on Computer, Communication and Signal Processing,  (2018), 
  • Deep Belief Network Architecture And Their Applications – A Survey”, First International Conference on Computer Vision, Networks and Informatics (ICCVNI-2018), 22-23 March 2018, Gandhigram Rural Institute (Deemed to be University), Dindigul District, Tamil Nadu.,  M. Sornam, A. Radhika,  International Conference on Computer Vision, Networks and Informatics,  (2018), 
  • Tamil Palm Leaf Manuscript Character Segmentation of GLCM Feature Extraction”, First International Conference on Computer Vision, Networks and Informatics (ICCVNI-2018), 22-23 March 2018, Gandhigram Rural Institute (Deemed to be University), Dindigul District,  M. Sornam, Poornima Devi. M,  International Conference on Computer Vision, Networks and Informatics,  (2018), 
  • Application of Chebyshev Neural Network for Function Approximation”, First International Conference on Computer Vision, Networks and Informatics (ICCVNI-2018), 22-23 March 2018, Gandhigram Rural Institute (Deemed to be University), Dindigul District,  M. Sornam, V. Vanitha,  International Conference on Computer Vision, Networks and Informatics,  (2018), 
  • “Evolution of Feed Forward Network for Solving Classification and Prediction Problems”, First International Conference on Computer Vision, Networks and Informatics (ICCVNI-2018), 22-23 March 2018, Gandhigram Rural Institute (Deemed to be University), Dindigul District,  M. Sornam, P. Balamurugan,  International Conference on Computer Vision, Networks and Informatics,  (2018), 
  • Recent Advances in Deep Learning Techniques”, First International Conference on Computer Vision, Networks and Informatics (ICCVNI-2018), 22-23 March 2018, Gandhigram Rural Institute (Deemed to be University), Dindigul District, Tamil Nadu,  M. Sornam, E. Panneer Selvam,  International Conference on Computer Vision, Networks and Informatics,  (2018), 
  • Malware as an Image Classification – ANN Approach with Discriminative Common Vector”, Int. Conf. on Recent Trends in Computing Technologies (ICRTCT-18), ISBN: 978-93-87862-01-2.,  M. Sornam, P. Balamurugan,  international conference on Recent trends in computing technology,  (2018), 
  • Detection of Epileptic Seizure from EEG Signal Using Wavelet Transform and Deep Learning Techniques”, Int. Conf. on Recent Trends in Computing Technologies (ICRTCT-18), ISBN: 978-93-87862-01-2,  M. Sornam, E. Panneer Selvam,  international conference on Recent trends in computing technology,  (2018), 
  • Type 2 diabetes mellitus prediction model based on ensemble boosting method with Principal Component Analysis”, Int. Conf. on Computing Sciences (ICCS 2018-2019), ISBN: 978-81-910217-0-9,  M. Sornam, M. Meharunnisa,  Int. Conf. on Computing Sciences,  (2018), 
  • Contour Based Character Segmentation and Nguyen-Widrow Weight Generation for Classification of Tamil Palm Leaf Script Characters –A Machine Learning Approach”, Int. Conf. on Computing Sciences (ICCS 2018-2019),ISBN: 978-81-910217-0-9,  M. Sornam, M. Poornima Devi,  Int. Conf. on Computing Sciences,  (2018), 
  • Enhanced Artificial Neural Network Models using Principal Component Analysis for Plants multiclass Classification”, Int Conf. on Advanced Computing (ICOAC 2018), ISBN: 978-1-7281-0352-5,  M. Sornam, V. Vanitha,  International Conference on Advances in Computer Applications(ICACA),  (2018), 
  •   “A Mobile Cloud Computing with an Energy Efficiency Improvement”, National Conference on Big Data Analytics and Mobile Technologies (NCBM 2017), March 2017.,  Sudha M R and Sornam M,  (2017), 
  • Identifying Obesity Influencing Factors among Women using Machine Learning Techniques”, Intl. Conf on Recent Advances in Engineering & Technology, MAM School of Engg, Trichy during 6th & 7th February 2017,  M. Sornam, A. Radhika, M. Meharunnisa ,V. Vanitha,  Intl. Conf on Recent Advances in Engineering & Technology,  (2017), 
  • A Study on Selective Surface Identification in crust Leathers Using Various Clustering Algorithms”, Science and Technology for Sustainability of Leather, at IULTCS XXXIV 2017 INDIA during 6th – 8th February 2017,  Nithiyanantha Vasagam. S, B. Madhan, B. Chandrasekaran, J. Raghava Rao ,M. Sornam,  Science and Technology for Sustainability of Leather,  (2017), 
  • Selective Surface Color Identification in Crust Leathers using K-Means Clustering Algorithm”, Proc. Of 3rd Intl conf on computing paradigms ICCP 2017, 21st -23rd July 2017, organized by Integrated Intelligent Research (IIR),  Nithyanantha Vasagam. S, Sornam. M,  Intl conf on computing paradigms ICCP 2017,  (2017), 
  • Dental Caries-Classification Using Grey Level Co-Occurrence Matrices with Back Propagation Neural Network ”, Intl. Conf on Recent Innovations in Computational Science(ICRICS 17), Hindustan Arts and Science College, Padur, ISBN- 978-81-8209-432-1, September 20th and 21st 2017,  M.Sornam , M.Prabhakaran,  Intl. Conf on Recent Innovations in Computational Science,  (2017), 
  • Handwritten Tamil Font Identification Using Deep Learning”, Intl. Conf on Recent Innovations in Computational Science(ICRICS 17), Hindustan Arts and Science College, Padur, ISBN- 978-81-8209-432-1, September 20th and 21st 2017,  M.Sornam , C.Vishnu Priya,  Intl. Conf on Recent Innovations in Computational Science,  (2017), 
  • A Novel Approach for Caries Detection using LAPSO based Back Propagation Neural Network ”, IEEE Sponsored Intl. Conf on Power, Control, Signals and Instrumental Engineering (ICPCSI)-2017, Saveetha Engineering College, ISBN- CFP17M84-PRJ: 978-1-5386-0813-5, September 21st and 22nd 2017,  M.Sornam ,M.Prabhakaran,  Intl. Conf on Power, Control, Signals and Instrumental Engineering,  (2017), 
  • Deep Convolutional Neural Network for Handwritten Tamil Character Recognition using Principal Component Analysis.”, Intl. Conf on Next Generation Computing Technologies(NGCT 17), University of Petroleum and Energy Studies, Dehradun, October 30th and 31st 2017,  M.Sornam , C.Vishnu Priya,  Intl. Conf on Next Generation Computing Technologies,  (2017), 
  • An Analysis of Multifarious Character Recognition”, Intl. Conf on Advanced Computing (ICoAC 2017), MIT, 14 to 16 December 2017,  M. Sornam , Poornima Devi,  2016 IEEE International Conference on Advances in Computer Applications(ICACA),  (2017), 
  • A Survey on Image Classification and Activity Recognition using Deep Convolutional Neural NetworkArchitecture”, Intl. Conf on Advanced Computing (ICoAC 2017), MIT, IEEE, ISBN:978-1-5386-4348-8/17, 14 to 16 December 2017,  M. Sornam, Kavitha Muthu Subash , V. Vanitha,  2016 IEEE International Conference on Advances in Computer Applications(ICACA),  (2017), 
  • A study on Complex Image Segmentation and Deep Convolutional Neural Networks”, UGC Sponsored National Conference on Computational Methods, Communication Techniques and Informatics NCCCI-2017, January 27th, 2017,  M.Sornam , C.Vishnu Priya,  National Conference on Computational Methods, Communication Techniques and Informatics,  (2017), 
  • A Smart Analysis of Hybrid Meta-Heuristic Evolutionary Techniques for Image Segmentation Process”, UGC Sponsored National Conference on Computational Methods, Communication Techniques, and Informatics NCCCI-2017, January 27th 2017, ISBN: 978-81-933316-1-3,  M. Sornam and M. Prabhakaran,  National Conference on Computational Methods, Communication Techniques, and Informatics,  (2017), 
  • NSCT Image Fusion and Morphological Operator Based Change Detection on Multi-Temporal Images”, International Conference on Recent Trends in Computing Technology (ICRTCT-2016), Feb 22-24th 2016, ISBN: 978-81-923741-3-0,  Dr. M. Sornam, Dr. M. S. Kavitha, Josephine Anitha. A , R. Cheryal Percy,  international conference on Recent trends in computing technology,  (2016), 
  • A Survey on selected algorithm – Evolutionary, Deep Learning, Extreme Learning Machine”, Intl. Conf on Recent Trends in computing technology, ICRTCT-16, ISBN-978-81-923741-3-0, Feb 22-24th 2016,  M.Sornam , R. Shalini,  international conference on Recent trends in computing technology,  (2016), 
  • “A Survey on Backpropagation Neural Network, Intl. Conf on Recent Trends in computing technology”, ICRTCT-16, ISBN-978-81-923741-3-0, Feb 22-24th 2016.,  M.Sornam , M. Poornima Devi,  international conference on Recent trends in computing technology,  (2016), 
  • "Segmentation and Classification of Brain Tumor using Wavelet and Zernike Based Features on MRI”, IEEE Intl. Conf on Advances in Computer Applications, IEEE ICACA-2016, ISBN- 978-1-5090-3769- 8, October 24th, 2016,  M. Sornam, Muthu Subash Kavitha ,R. Shalini,  2016 IEEE International Conference on Advances in Computer Applications(ICACA),  (2016), 
  • ” An Efficient Morlet Function Based Adaptive Method for Faster Backpropagation for Handwritten Character Recognition, IEEE Intl. Conf on Advances in Computer Applications, IEEE ICACA-2016, ISBN- 978-1-5090-3769-8, October 24th 2016,  M. Sornam, Muthu Subash Kavitha, M. Poornima Devi,  2016 IEEE International Conference on Advances in Computer Applications(ICACA),  (2016), 
  • Hysteresis Thresholding Based Edge Detectors for Inscriptional Image Enhancement”, IEEE International Conference on Computational Intelligence and Computing Research (ICCIC), ISBN- 978-1-5090-0611-3/16 IEEE, December 15th to 17th 2016,  M. Sornam, Muthu Subash Kavitha , M. Nivetha,  International Conference on Computational Intelligence and Computing Research,  (2016), 
  • Breast Cancer Classification using Backpropagation Network and Fuzzy Backpropagation network”, Intl. Conf on Recent Trends in Computer Science and Digital Technology (ICCSDT-2015), 26th Nov 2015, ICTACT sponsored, conducted by GSS College, Chennai, ISBN 978-93-8564,  Dr. M. Sornam , K. Kaveri Priya,  2016 IEEE International Conference on Advances in Computer Applications(ICACA),  (2015), 
  • Oil spill and Look-Alike Spots from Sar Imagery using OTSU Method and Artificial Neural Network”, National Conference on Recent Trends in Intelligent Systems(RTIS’15), March 12-13, 2015, ISBN: 978-93-80366-19- 7,  M. Sornam and Ramya Ponniah,  National Conference on Recent Trends in Intelligent Systems,  (2015), 
  • Fast and Collateral Aggregate Data Collection using MLP in Wireless Sensor Network”, National Conference on Recent Trends in Intelligent Systems (RTIS’15), March 2015, ISBN: 978-93-80366-19- 7,  M. Sornam, T. Prasanna Devi, G. Sharath Vignesh,  National Conference on Recent Trends in Intelligent Systems,  (2015), 
  • Survey on Image Segmentation Techniques in Medical Image Processing”, National Conference on New Horizon in Computational Intelligence and Information Systems (NCNHCIIS-2015), Gandhigram Rural University, Dec 17-18, (2015) ,ISBN:978-93-85777-02-8,  M. Sornam and M. Nivetha,  National Conference on New Horizon in Computational Intelligence and Information Systems,  (2015), 
  • “ Human Speech Emotion Recognition using Radial Basis Function”, Intl. Conference on Statistics and Information Technology for a Growing Nation, Dec ’14, S.V. University, 2014.  ,  M. Sornam and MaheswariSelvaraj,  (2014), 
  • A method to improve Image Enhancement through Image Fusion using Wavelet ,IEEE sponsored Intl. conference on Intelligent Computing Applications (ICICA) 2014, ISSN: 978-1-4799-3966-4/14.,  M. Sornam and A.Hariprabha,  Article,  IEEE,  (2014),  263-267
  • License Plate Detection and Character Recognition System  Intl.Jnl of Computer Applications ISBN-(0975-8887), International Conference on Communication, Computing and Information Technology ICCCMIT 2014(1), Dec. 2014,,  M. Sornam and Santhi Manimozhi,  Article,  (2014),  28-31
  • A Study on Image Watermarking Algorithm based on DCT for Color Images”, MINDS 14, Mar27-28 at Alagappa University, Karaikudi.,  M. Sornam , M. Priyanka,  MINDS 14,  (2014), 
  • Complex-valued neural network using Simultaneous Perturbation with Dynamic Tunneling technique,in the Second International Conference on Computational Science, Engineering and Information Technology (CCSEIT-2012), October 26-28, 2012, Coimbatore, India, ACM-978-1-4503-1310- 0/12/10,  M.Sornam and P.Thangavel,  Article,  ACM,  (2012),  563-568.
  • Complex-valued Optical Backpropagation Algorithm in the International Conference on “Advances and Emerging Trends in Computing Technologies” conducted by SRM University (CSC dept) during 21-06-2010 to 24-06- 2010.,  M.Sornam and P.Thangavel,  Article,  (2010), 

Journals (Total Journals: 51)

  • Poornima Devi. M and M. Sornam, "Analysis of Palm leaf or Tal-Patra Manuscript Collections to Bridge Between Cultures", Journal of Modern Thamizh Research (A Quarterly International Multilateral Thamizh Journal), Arts and Humanities(all), Special Issue, February 2020, pp: 504-510, ISSN No: 2321-984X,  Poornima Devi. M, M. Sornam,  Journal of Modern Thamizh Research (A Quarterly International Multilateral Thamizh Journal), Arts and Humanities(all),  (2020),  504-510, 
  • M. Sornam, C. Vishnu Priya, Poornima Devi. M, "Intelligent Feature Extraction for Handwritten Tamil Mantra Recognition in Slogans by using PCA based Deep Convolutional Neural Network", International Journal of Engineering and Advanced Technology (IJEAT), Vol-9, Issue-4, April 2020, pp: 1272-1278, ISSN No: 2249 – 8958, DOI: 10.35940/ijeat.D6662.049420,  M. Sornam, C. Vishnu Priya, Poornima Devi. M,  International Journal of Engineering and Advanced Technology (IJEAT),  9,  (2020),  2249-8958, 
  • R. Karthigasri and M. Sornam, “Evaluating Performance Measures Using Hybrid Models with Fuzzy Finite State Machine for Human Activity Recognition”, International Journal of Scientific and Technology Research, Vol.9 Issue. 04, April 2020, pp:1912-1922, ISSN: 2277-8616.,  R. Karthigasri, M. Sornam,  International Journal of Scientific and Technology Research,  9,  (2020),  1912-1922, 
  • V. Vanitha and M. Sornam, "Noise Boosted Third Term Backpropagation Algorithm - Inertia and Chebyshev Orthogonal Polynomial", Journal of Critical Reviews, Vol. 7, Issue 18, July 2020, pp. 3516-3532.ISSN:23945125,  V. Vanitha, M. Sornam,  Journal of Critical Reviews,  7,  (2020),  3516-3532, 
  • Anisha Thangakani S, M Sornam, “Skin Lesion Detection and Segmentation Using SVM and Bayesian Classification”, International journal of Computing and Algorithm, no. 9, Issue 1, pp.40-44, 2020.,  Anisha Thangakani S, M Sornam,  International journal of Computing and Algorithm,  9,  (2020),  40-44, 
  • Poornima Devi. M and M. Sornam, "Classification of Ancient Handwritten Tamil Characters on Palm Leaf Inscription Using Modified Adaptive Backpropagation Neural Network with GLCM Features", ACM Transactions on Asian and Low-Resource Language Information Processing, Vol.19, No. 6, October 2020. DOI: https://doi.org/10.1145/3406209.,  Poornima Devi. M, M. Sornam,  ACM Transactions on Asian and Low-Resource Language Information Processing,,  19,  (2020), 
  • M. Sornam and L. Vijayalakshmi, “Implementation of Fuzzy Logic in Diverse Fields”, Journal of the Maharaja Sayajirao University of Baroda, Vol. 54, No.2, pp:90-96, 2020. ISSN : 0025-0422.,  M. Sornam and L. Vijayalakshmi,  Journal of the Maharaja Sayajirao University of Baroda,  54,  (2020),  90-96, 
  • M. Sornam and L. Nithya, “Deep Learning in Dentistry and Improving Technologies in Nano Hydroxyapatite-N-HAp”, Journal of the Maharaja Sayajirao University of Baroda, Vol. 54, No.2, pp: 150-157, 2020. ISSN : 0025-0422.,  M. Sornam, L. Nithya,  Journal of the Maharaja Sayajirao University of Baroda,  54,  (2020),  150-157, 
  • “Type 2 diabetes mellitus prediction model based on ensemble boosting method with Principal Component Analysis”, International Journal of Computer Sciences and Engineering (IJCSE), Vol.07, Issue.05, pp.124-130, 2019. ISSN - 2347 2693.,  M.Sornam, M.Meharunnisa,  International Journal of Computer Sciences and Engineering (IJCSE),  (2019), 
  • "Contour based Character Segmentation and Nguyen-Widrow Weight Generation for Classification of Tamil Palm Leaf Script Characters - Machine Learning Approach ", International Journal of Computer Science and Engineering (IJCSE), Vol-7, Special Issue:5, March 2019, pp:118-123, ISSN No: 2347-2693.,  Poornima Devi. M, M. Sornam,  International Journal of Computer Science and Engineering (IJCSE),  (2019), 
  • "A Hybrid RBF Network with GA for Systematic Classification of Historical Tamil Palm Leaf Manuscript Characters ", International Journal of Research in Advent Technology (IJRAT), Special Issue, March 2019, pp:49-54, ISSN No: 2321-9637.,  Poornima Devi. M, M. Sornam,  International Journal of Research in Advent Technology (IJRAT),  (2019), 
  • "A Survey on Skin Classification Mehtods Using Deep Learning Techniques", International Journal of Research in Advent Technology (IJRAT ), Special Issue, March 2019, pp: 62-69, E-ISSN: 2321-9637. ,  M. Sornam, AnishaThangakani. S,  International Journal of Research in Advent Technology (IJRAT ),  (2019), 
  • “Speedy Convergence of Neural Network Model using Principal Component Analysis for Plant Classification”, International Journal of Research in Advent Technology (IJRAT), Special Issue, March 2019, pp:41-48, ISSN No: 2321-9637.,  Vanitha. V, Sornam. M,  International Journal of Research in Advent Technology (IJRAT),  (2019), 
  • “Predictive factors for survival and outcome in patients with high grade gliomas: A single centrerestrospective study”, International Archives of Integrated Medicine, Vol.6, Issue.3, March 2019, pp:1-8, ISSN: 2394-0026,  S. Jeeva, V.Vanitha, K. Chandralekha, M. Sornam, Balasubramanium, P. Vidya,  International Archives of Integrated Medicine,  (2019), 
  • “Whole brain radiotherapy for patients with brain metastasis from lung cancer- Prognostic significance of RTOG-RPA score”, International Archives of Integrated Medicine, Vol.6, Issue.5, May 2019, pp:32-39, ISSN : 2394-0026,  S. Jeeva, K. Chandralekha, V.Vanitha, M. Sornam, Balasubramanium, P. Vidya,  International Archives of Integrated Medicine,  (2019), 
  • “A study on Sensor Based Human Activity Recognition Using Deep Learning Technique”, International Journal of Computational Intelligence and Informatics, Vol.9, No:1, June 2019, pp:1-6, ISSN:2231-0258,  R. Karthigasri, M. Sornam,  International Journal of Computational Intelligence and Informatics,  (2019), 
  • “Systematic Classification of Historical Handwritten Tamil Palm Leaf Manuscript using CART algorithm and RBF Network”, International Journal of Innovative Technology and Exploring Engineering (IJITEE), Vol:8, Issue:11, September 2019, pp:185-194, ISSN:2278-3075,  Poornima Devi.M, M. Sornam,  International Journal of Innovative Technology and Exploring Engineering (IJITEE),  (2019), 
  •  The discovery of normality of body weight using principal component analysis: a comparative study on machine learning techniques using different data pre-processing methods, Int. J. Knowledge Engineering and Data Mining, Vol. 6, No. 1, 2019, pp. 74-88. ISSN online 1755-2095 ISSN print 1755- 2087.,  M. Sornam , M. Meharunnisa,  Int. J. Knowledge Engineering and Data Mining,  Vol 6 No 1,  (2019),  74-88, 
  • “Surface Defect Identification and Grouping of Intermittent Leather Images using Linear Discriminant Model”, International Journal of Innovative Technology and Exploring Engineering (IJITEE), Vol:8, Issue:12, October 2019, pp: 2253-2259, ISSN:2278-3075, DOI:10.35940/ijitee.L2527.1081219,  S. NithiyananthaVasagam, M. Sornam,  International Journal of Innovative Technology and Exploring Engineering (IJITEE),  (2019), 
  • R. Karthigasri, M. Sornam, “Evolutionary model and fuzzy finite state machine for Human activity recognition”, International Journal of Communication and Networking System,  Integrated Intelligent Research (IIR), Vol:08, Issue:01, June 2019, pp: 43-49, ISSN:2278-2427.,  R. Karthigasri, M. Sornam,  International Journal of Communication and Networking System,  8,  (2019),  43-49, 
  • Sornam M, Vanitha V, “An improved third term backpropagation algorithm – inertia expanded chebyshev orthogonal polynomial”, Journal of Intelligent & Fuzzy Systems, Vol.37 (2019) pp.3795–3804 DOI:10.3233/JIFS-190063, ISSN:1875-8967,  Sornam M, Vanitha V,  Journal of Intelligent & Fuzzy Systems,  37,  (2019),  3795-3804, 
  • Quantitative Image textural analysis of Time dependent Surface structural changes of GuttaPercha in two different solvents -- SEM study, International Journal of Scientific & Engineering Research, Volume 9, Issue 4, April-2018, ISSN 2229-5518, 1501-1504,  Hemani , James David Raj, M. Sornam, Poornima Devi.M,  International Journal of Scientific & Engineering Research,  (2018), 
  •  An efficient Antimalware System Using Neural Networks with Support Vector Machine and Discriminative Common Vector, IJCA,(2250-1797), Vol 5, Issue 8, Sep-Oct 2018, pp. 1-9, DOI: https://dx.doi.org/10.26808/rs.ca.i8v5.01,  M. Sornam, P. Balamurugan,  IJCA,  Vol 5 No 8,  (2018),  1-9, 
  •  Logit-Based Artficial Bee colony Optimization (LBABC) Approach for Dental Caries Classfication using a Back Propagation Neural Network, Springer Nature, Integrated Intelligent Computing, Communications and Security, Studies in Computational Intelligence 771, https://doi.org/10.1007/978-981- 10-8797-4_9,2018, pp.79-91.,  M. Sornam, M. Prabhakaran,,  Integrated Intelligent Computing, Communications and Security, Studies in Computational Intelligence,  (2018),  79-91, 
  • Detection of Epileptic Seizure from EEG Signal Using Wavelet Transform and Artificial Neural Network, IJERA, Vol 8, Issue 10, (part-I), Oct 2018, pp. 06-11. https://doi:10.9790/9622-0810010611. ISSN: 2248-9622.,  M. Sornam, E. Panneer Selvam,  IJERA,  Vol 8 No 10,  (2018),  06-11, 
  • Deep Convolutional Neural Network for Handwritten Tamil Character Recognition Using Principal Component Analysis, Springer Nature Singapore pvt ltd, pp.778-787, CCIS 827, 2018, https//doi.org/10.1007/978-98110-8657-1_61.,  M. Sornam, C. Vishnu Priya,  Springer Nature Singapore pvt ltd,  (2018),  778-787, 
  • Surface color identification in Crust & Finished Leathers using K-Means Clustering Algorithm, Journal of Engineering Research and Application, Vol.8, Issue 9(Part-I0 Sep 2018, pp. 12-16, ISSN : 2248- 9622, https://doi:10.9790/9622-0809011216.,  M. Sornam, S. Nithiyanantha Vasagam,  Journal of Engineering Research and Application,  Vol 8 No 9,  (2018),  12-16, 
  • Evolution of Feed Forward Network for Solving Classification and Prediction Problems, Intl. Journal of Computer Science and Engineering (IJCSE), Vol.6, Special Issue.4, May, 2018. ,  M. Sornam, P. Balamurugan,  Intl. Journal of Computer Science and Engineering (IJCSE),  (2018), 
  • Tamil Palm Leaf Manuscript Character Segmentation using GLCM feature extraction, Intl. Journal of Computer Science and Engineering (IJCSE), Vol.6, Special Issue.4, May, 2018.,  M. Sornam, Poornima Devi. M,  Intl. Journal of Computer Science and Engineering (IJCSE),  (2018), 
  • Deep Belief Network Architecture and their Application-A Survey, Intl. Journal of Computer Science and Engineering (IJCSE), Vol.6, Special Issue.4, May, 2018,  M. Sornam, A. Radhika,  Intl. Journal of Computer Science and Engineering (IJCSE),  (2018), 
  • Application of Chebyshev Neural Network for Function Approximation, Intl. Journal of Computer Science and Engineering (IJCSE), Vol.6, Special Issue.4, May, 2018,  M. Sornam, V. Vanitha,  Intl. Journal of Computer Science and Engineering (IJCSE),  (2018), 
  • ” Big Data Analytics on Aviation Data for the Prediction of Airline Trends in Seasonal Delay”, International Journal of Advanced Research in Computer Science, Volume: 8, No: 5, May-June 2017, ISSN: 0976-5697, PP: 2248-2251.,  M. Sornam, M. Meharunnisa , Parthiban Nagendren,  International Journal of Advanced Research in Computer Science,  Vol 8 No 5,  (2017),  2248-2251, 
  • ” Fish Freshness Classification using Wavelet Transformation and Fuzzy Logic Technology”, Asian Journal of Computer Science and Information Technology7:2, June (2017), ISSN: 2249-5126, PP: 15-21.,  M. Sornam, A. Radhika, M. Manisha,  Asian Journal of Computer Science and Information Technology,  Vol 7 No 2,  (2017),  15-21, 
  • “ Integrating NSCT Image Fusion with Spatial Fuzzy Clustering for Multi Temporal Image Change Detection”, Int. Jnl. Of Reseach in Electronics and computer engineering, (IJRECE), Vol 5, Iss 4, Oct-Dec-17, ISSN: 2393-9028 (PRINT) | ISSN: 2348-2281 (ONLINE), PP: 326-329.,  M. Sornam, Muthu Subhash Kavitha, R. Cheryal Percy,  Int. Jnl. Of Reseach in Electronics and computer engineering, (IJRECE),  Vol 5 No 4,  (2017),  326-329, 
  • “Enhanced Bat Inspired Algorithm for Solving Travelling Salesman Problem”, Intl. Jnl. of Latest Engineering and Management Research (IJLEMR), Vol 02, Iss 11, Nov 2017, ISSN: 2455-4847, PP: 26-31,  M. Sornam,  Intl. Jnl. of Latest Engineering and Management Research (IJLEMR),  (2017), 
  • “ Oilspill And Look-Alike Spots From Sar Imagery Using Otsu Method And   Artificial Neural Network”, Intl. Jnl of Engg technologies and Management Research (IJETMR), Vol 4, Iss 11, Nov 2017,  ISSN: 2454-1907 DOI: 10.5281/zenodo.1065293, PP: 1-10.,  M. Sornam,  Intl. Jnl of Engg technologies and Management Research (IJETMR),  (2017), 
  • “A Revolutionary Approach to Cloud Computing, Security and its User Compliance”, Indian Journal of Science and Technology, Volume: 10(1), January 2017, IISN (Print): 0974-6846, ISSN (Online): 0974-5645, PP: 1-8.,  M. R. Sudha, M. Sornam,  Indian Journal of Science and Technology,  Vol 10 No 1,  (2017),  1-8, 
  • “Swarm Intelligence Approach for Medical Image Segmentation”, International Journal of Information Technology (IJIT), Volume: 3, Issue: 2, Mar-Apr 2017, ISSN: 2454-5414, PP: 21-27.,  M. Sornam,M. Prabhakaran,  International Journal of Information Technology (IJIT),  Vol 3 No 2,  (2017),  21-27, 
  • ” A Comparison of Deep Learning Neural Networks for Image Processing Applications”, International Journal of Engineering Trends and Applications (IJETA), Volume: 4, Issue: 2, Mar-Apr 2017, ISSN: 2393-9516, PP: 60- 64.,  M. Sornam ,C. Vishnu Priya,  International Journal of Engineering Trends and Applications (IJETA),  Vol 4 No 2,  (2017),  60-64, 
  • ” Noise Removal using Chebyshev Functional link Artificial Neural Network with Backpropagation”, International Journal of Advanced Research in Computer Science, Volume: 8 ,No: 5, May-June 2017, ISSN: 0976-5697, PP: 2252-2257.,  M. Sornam, V. Vanitha ,T. G. Ashmitha,  International Journal of Advanced Research in Computer Science,  Vol 8 No 5,  (2017),  2252-2257, 
  • ” Hysteresis Thresholding Based Edge Detectors for Inscriptional Image Enhancement”, 2016 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC’16), ISSN: 978-1-5090-0612-0/16.,  M. Sornam, Muthu Subash Kavitha , M. Nivetha,  IEEE International Conference on Computational Intelligence and Computing Research (ICCIC’16),  (2016), 
  • ” An Efficient Morlet Function Based Adaptive Method for faster Backpropagation for Handwritten Character Recognition, 2016 IEEE International Conference on Advances in Computer Applications(ICACA), ISSN:978-1-5090-3770-4/16, PP:135-139.,  M. Sornam, Muthu Subash Kavitha ,M. Poornima Devi,  2016 IEEE International Conference on Advances in Computer Applications(ICACA),  (2016),  135-139, 
  •  ” Segmentation and Classification of Brain Tumor using Wavelet and Zernike Based Features on MRI”, 2016 IEEE International Conference on Advances in Computer Applications(ICACA), ISSN:978- 1-5090-3770-4/16, PP: 166-169.,  M. Sornam, Muthu Subash Kavitha , R. Shalini,,  2016 IEEE International Conference on Advances in Computer Applications(ICACA),  (2016),  166-169, 
  • “Differential Evolutionary Algorithm for Energy Efficiency Improvement on Mobile Cloud Computing”, International Journal of Control Theory and Applications, Volume: 9, Number: 40, 2016, ISSN: 0974-5572, PP: 1149-1156.,  M. R. Sudha and M. Sornam,  International Journal of Control Theory and Applications,  (2016), 
  • “A Survey on Backpropagation Neural Network”, International Journal of Communication and Networking System, Volume: 05, Issue: 01, June 2016, ISSN: 2278-2427, PP: 70-74, June 2016.,  M. Sornam , M. Poornima Devi,  International Journal of Communication and Networking System,  Vol 5, No 1,  (2016),  70-74, 
  • ” A Survey on Selected Algorithm-Evolutionary, Deep Learning, Extreme Learning Machine”, International Journal of Computing Algorithm, Volume: 05, Issue: 01, June 2016, ISSN: 2278-2397, PP: 50-54, June 2016.,  M. Sornam , R. Shalini,  International Journal of Computing Algorithm,  Vol 5 No 1,  (2016),  50-54, 
  • ” User Authentication: An Improved Radial Basis Function Network With Salt Technique”, International Journal of Applied Engineering Research, ISSN 0973-4562, 2015, Volume: 10, No: 76, PP: 502-506.,  M.Sornam, K.Sujeetha,  International Journal of Applied Engineering Research,  Vol 10 No 76,  (2015),  502-506, 
  • ”Fast and Collateral Aggregate Data Collection using MLP in Wireless Sensor Network”, International Journal of Applied Engineering Research, 2015, ISSN 0973-4562, Volume: 10, No: 76, PP: 455- 458.,  M.Sornam, T. Prasanna Devi , G.Sharath Vignesh,  International Journal of Applied Engineering Research,  Volume: 10, No: 76,  (2015),  455-458, 
  • ”A Study on Image Watermarking algorithm Based on DCT for Color Images”, Jnl. Of Com.Sci and Applications, ISSN 2231-1270 pp.21-26, Volume: 6, No: 1, 2014.,  M. Sornam , M. Priyanka,  Jnl. Of Com.Sci and Applications,  Vol 6 No 1,  (2014),  21-26, 
  • “An Improved three-term optical Backpropagation algorithm”, Int. Jnal of Arti. Intelligence and Soft Comp 2011, Volume: 2, No: 4, PP: 321 - 333. ISSN: 1755-4969,  M.Sornam , P.Thangavel,  Int. Jnal of Arti. Intelligence and Soft Comp,  Vol 2 No 4,  (2011),  321-333, 
  • Recent Advances in Deep Learning Techniques, Intl. Journal of Computer Science and Engineering (IJCSE), Vol.6, Special Issue.4, May, 2018, E-ISSN: 2347-2693,  M. Sornam, E. PanneerSelvam, 

Projects (Total Projects : 2)

Title:Integrating Talent Development into Innovation Ecosystems in Higher Education 586227-EPP-1-2017-1-BG-EPPKA2-CBHE-JP INNOTAL-Co-funded by ERASMUS + Programme funded by European Union

Duration:2017-2020
Funded by:EUROPEAN UNION

Funded Amount (in Lakhs.):37

Title:RUSA 2.0 - “Research, Innovation and Quality Improvement”- Award of research programme (Biomaterials) under the “Functional Synthetic Materials for Biomedical Applications (Theme-2)” Nanoinformatics on the role of NanoHAp in orthopedic, dental and cancer diagnostics and therapy: Schema and System Design

Duration:2021-2023
Funded by:RUSA 2.0 and UGC

Funded Amount (in Lakhs.):14

Awarded Scholars
No data available
Present Scholars
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Post Doctoral Scholars (0)

No data available
Seminars / Conference
  • National
  • Internationals
Organised

No Record Found

Participated

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Organised

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Participated

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Other Informations
  • Invited Talks
  • Patents
  • Additional Informations
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Additional Informations

Orientation Programme
  • 28 days Orientation course conducted by Academic staff college, University of Madras, From 26-2-2002 to 25-3-2002
Refresher Course I
  • 21 days Refresher course conducted by ASC, University of Madras, Sponsored by UGC, From 8-9-2003 to 28-9-2003
Refresher Course II
  • 21 days refresher course (II) on Computer Science and Information Technology – UGC- ASC University of Madras during 29-06-2010 to 19-07-2010
Refresher Course III
  • 21 days refresher course (III) on Computer Science , Batch V, conducted by UGC- ASC ,University of Madras during 20-11-2012 to 10-12-2012.
Short Term Course

 

Participated in FDP to design, develop & deliver MOOC courses through SWAYAM platform conducted by National Institute of Educational Planning and Administration (NIEPA), during Aug 05-10, 2019 New Delhi
Organized-International Special invited Lecture

 

Organized International Special invited Lecture on “Block Sorting Algorithms” By, Prof Asai Asaithambi, University of North Florida, U.S, on 2nd August 2017 at Dept of Computer Science, Chepauk, University of Madras, Chennai – 5

Organized-Special Invited Lecture

 

Organized Special Invited Lecture on “Research Perspective of Linear Algebra in Machine Learning for Brain Computer Interface”, 19thMarch 2019,  by Prof. Thilagavathy, REC Engineering College  at Dept of Computer Science, Guindy Campus, University of Madras, Chennai - 25

Organized-International Special invited Lecture

Organized International  Special invited Lecture on “Role of Mathematics in Computing research ” By, Prof AsaiAsaithambi, University of North Florida, U.S, on  12th July  2019 at Dept of Computer Science, Guindy Campus, University of Madras, Chennai – 25.

Organized-International Special invited Lecture

 

Organized International Special invited Lecture on “Importance of Mathematics in Computing research” By, Prof R. Ramanujam, Institute of Mathematical Sciences, Tharamani, Chennaion  14th October2019 at Dept of Computer Science, Guindy Campus, University of Madras, Chennai – 25.

 

Resource Person-Special Invited Talk

Lady Willingdon Institute- Web browsing to enhance teaching and learning

Resource Person-Special Invited Talk

Mohammad Sathak College - Soft Computing

Resource Person-Special Invited Talk

Bharathidasan University-An overview of Artificial Neural Network

Resource Person-Special Invited Talk

CTTE College -Artificial Neural Network

Resource Person-Special Invited Talk

Dr.MGR Janaki College -Innovative Computing in Intelligent System

Resource Person-Special Invited Talk

Hindustan University- Introduction to Artificial Neural Network

Resource Person

UGC NET – Paper II & III – Computer Science, University of Madras

Resource Person

UGC NET – Paper II & III – Computer Science, University of Madras

Selection Committee-WCC College 2014

WCC College

Selection Committee-MOP Vaishnav 2014

MOP Vaishnav

Selection Committee-CTTE College 2014

CTTE College

Selection Committee-St. Joseph College 2014

St. Joseph College

Selection Committee-D. G. Vaishnav College 2015

D. G. Vaishnav College

Selection Committee-WCC College 2015

WCC College 

Selection Committee-SCSVMV University 2017

SCSVMV University

Academic Audit-MCC College 2017

MCC College 

Inspection committee-E. S. Subramaniam Memorial College 2015

E. S. Subramaniam Memorial College

Inspection committee-Vidyasagar College 2016

Vidyasagar College 

Inspection Commission Convener -Om Shanthi College of arts and Science 2017

Om Shanthi College of arts and Science 

Inspection Commission Convener -Pachaiappa’s College for Men 2017

Pachaiappa’s College for Men

Inspection Commission Convener-WCC College 2017

WCC College  

Inspection Commission Convener -Ethiraj College For Women 2018

Ethiraj College For Women

JNN Of Arts And Science Women’s College 2018

JNN Of Arts And Science Women’s College- 2018

Inspection Commission Convener -Nazreth College of Arts and Science 2018

Nazreth College of Arts and Science

Inspection Commission Convener -SDNB Vaishnav College 2018

SDNB Vaishnav College 

Inspection Commission Convener -Tagore College of Arts and Science 2018

Tagore College of Arts and Science

Inspection Commission Convener -DB Jain College 2019

DB Jain College

Inspection Commission Convener -Dhanalakshmi Srinivasan Arts And Science College 2019

Dhanalakshmi Srinivasan Arts And Science College

Inspection Commission Convener -Gurunanak College 2019

Gurunanak College

Inspection Commission Convener -SreeMuthukumaraswamy Arts And Science College 2019

SreeMuthukumaraswamy Arts And Science College

Inspection Commission Convener -Thalapathy K. VinayakamWomens Arts And Science College 2019

Thalapathy K. VinayakamWomens Arts And Science   College

Inspection Commission Convener -Quaid-e-Millath Government College for Women 2019

Quaid-e-Millath Government College for Women

Subject Expert- WCC College -2014

WCC College -2014

Subject Expert- D. G. Vaishnav College -2015

D. G. Vaishnav College -2015

Jury- New College

 

Jury- New College

Jury- Soka Ikeda College

 

Jury- Soka Ikeda College

Inspection Commission Convener - Apollo college North Madras-2020

Inspection Commission Convener - Apollo college North Madras- 2020

Inspection Commission Convener - St. George college ,Chennai- 2020

Inspection Commission Convener - St. George  college ,Chennai- 2020

Inspection Commission Convener - Fomra Arts & Science college , Chennai- 2020

Inspection Commission Convener - Fomra Arts & Science college , Chennai- 2020

Inspection Commission Convener - National College- 2021

Inspection Commission Convener - National College- 2021

Inspection Commission Convener - Viswaka Sena college, Chennai- 2021

Inspection Commission Convener - Viswaka Sena college, Chennai- 2021

Inspection Commission Convener - R.K. Government College, Chennai- 2021

Inspection Commission Convener - R.K. Government College, Chennai- 2021

Inspection Commission Convener - SIVET college, Chennai- 2021

Inspection Commission Convener - SIVET college, Chennai- 2021

Inspection Commission Convener - SA College of Arts & Science , Chennai-2021

Inspection Commission Convener - SA College of Arts & Science , Chennai-2021

Special Invited Talk- DGGA College for Women

Special Invited Talk- DGGA College for Women- Current Research Trends in Computer Science- 2021

Special Invited Talk- UGC-HRDC sponsored Refresher Course in Computer Science and Information Technology, University of Madras

Special Invited Talk- UGC-HRDC sponsored Refresher Course in Computer Science and Information Technology, University of Madras- Nuances in Deep Learning- 2021

Special Invited Talk- Online Program on Introduction to industry 4.0, Bharathiar University

Special Invited Talk- Online Program on Introduction to industry 4.0, Bharathiar University- Connotations of Deep Learning - 2021

Conducted webinar-UGC-HRDC & Department of Computer Science, INNOTAL

Conducted webinar on “Future Skills and Entrepreneurial Education”, sponsored by UGC-HRDC & Department of Computer Science, INNOTAL – International Project Activity, 11th and 12th June 2020.

Conducted webinar-sponsored by UGC-HRDC & Department of Computer Science

Conducted webinar on “Artificial Intelligence and Machine Learning”, sponsored by UGC-HRDC & Department of Computer Science, 2nd and 3rd September 2020

Conducted Refresher course in Computer Science

Conducted Refresher course in Computer Science titled “Recent Trends in Computing Research”, sponsored by UGC-HRDC from 8-11-2019 to 21-11-2019 (Two Weeks) for college teachers all over India

SPECIAL INVITED LECTURE - AICTE SPONSORED ONLINE SHORT TERM TRAINING PROGRAM ON DATA SCIENCE AND BIG DATA ANALYTICS PHASE I - IV FROM MAY 2021- JUNE 2021

AURA OF DEEP LEARNING MODELS

AT AVINASHILINGAM INSTITUTE FOR HOME SCIENCE AND HIGHER EDUCATION FOR WOMEN , COIMBATORE

// FLASH NEWS //
  • Two Special Chance for the University Department Students admitted prior to the academic year 2015-16 to clear their Arrear Examinations   |    Extension of date for submission of Synopsis / Thesis for terminal Ph.D Students   |   

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