Monday, 29 February 2016

My Research Areas, Tools and Algorithms used



My Research Areas
  1. Bioinformatics, Proteomics, Genomics
  2. Artificial Intelligence, Machine Learning
  3. DNA Cryptography
  4. Big Data Analysis
  5. Ethical Hacking
  6. Image Processing, Image Encryption
  7. Web Mining
  8. Search Engine Modeling
  9. Topic Modeling
  10. Social Network Mining
  11. Sentiment Analysis
  12. News Analytics
  13. Web Log Analysis
  14. Market Basket Analysis
  15. Text Mining [web pages, pdf, word documents etc
  16. Cancer Informatics
  17. Ayurvedic Informatics [Plant Proteomics]
  18. Wireless Sensor Networks 
Programming Tools Used

C, C++, Java, Matlab, PHP, JSP, C #, Python, Visual Basic, Visual C++, Android

Data Mining Tools Used

            Matlab Toolkit, Python Packages, Weka Tool, Java Packages

Data Mining Algorithms Used

            Artificial Neural Networks
            Support Vector Machines
            Hidden Markov Models
            Similarity Measurements (Jaccard, Cosine, Dice,Overlap etc)
            Distance Measurements (Eucledean distance, Manhattan etc)
            Wavelets
            Bayesian Classifier
            LDA Topic Mining Algorithm
            Apriori Algorithms
            n-Grams

My Currently Going Unpublished Works


       Projects Under My Guide


  1. Dr.T. Mahalekshmi and Prof.Sajeev J., Interpretation of Hub Feature of Human Proteins using Tumor Protein TP53 and Wavelets .
    [Area : Bioinformatics, Wavelets, Matlab]
  2.  Dr.T. Mahalekshmi and Prof.Sajeev J., Hub Feature Extraction of Disorder Proteins using Machine Learning Techniques .
    [Area : Bioinformatics, Proteomics, Matlab]
  3. Dr.T. Mahalekshmi and Prof.Sajeev J., Feature and Sequence Extraction tool for Human Proteins using Web Interface .[Area : Bioinformatics, Proteomics, PHP]

    Projects I am Doing under Data Mining


  4. Prof.Sajeev J.DNA Cryptography with Images using Dynamic Sequences . [Area : DNA Mining, Image Processing, Matlab]
  5. Prof. Sajeev J.,  Search Engine Topic Model using Tag Based Features
    [Area : Web Mining, Search Engine, Topic Modelling, PHP, Matlab, Java, MySQL]
  6.  Prof. Sajeev J., Twitter Sentimental Analysis with Word Token Supportive Information using Python[Area : Social Network Mining, Sentiment Analysis, Python, PHP, Java Applets]
  7.  Prof. Sajeev J.,  News Analysis and Visualization tool using Topic Modeling
    [
    Area : Web Mining, News Analytics, PHP, Java Applets , MySQL]
  8.  Prof. Sajeev J., HTTP Web Log Analysis for Product Purchase Forecasting
    [
    Area : Web Mining, Web Log Analysis, PHP, Java Applets, MySQL]
  9. Prof. Sajeev J., Pubmed Document Clustering using XML Data Mining.
    [Area : Topic Modeling, XML Data Mining, Java, Matlab, MySQL]

Sunday, 28 February 2016

My Published Research Works




  1. Dr.T. Mahalekshmi and Mr.Sajeev J., Role of Hydrophobicity in Prediction of Human Hub Proteins from Amino Acid Sequence Information, International conference ICTT2010 at CET, Thiruvananthapuram.
  2. Dr.T. Mahalekshmi, Mr.Sajeev J., Mr. Nijil Raj.N, Mrs. Jiji.N., Hub Characteristics Extraction of Human Proteins using Tumor Protein P53 – A Case Study, National Conference NCCC2011 at School of Computer Sciences, MG University, Kottayam.
  3. Mr.Sajeev J., Dr.T. Mahalekshmi, Hub Characterization from Sequence Information using Statistical Methods, International Conference RAICS, IEEE Chapter, Thiruvananthapuram.
  4. Dr.T. Mahalekshmi and Mr.Sajeev J., Hub Characterization of Tumor Protein P53 using Artificial Neural Networks, International conference ACC2011, Rajagiri College of Engineering, Cochin.
  5. Dr.T. Mahalekshmi and Mr.Sajeev J., Mr. Nijil Raj.N, Mrs. Jiji.N. , Relevance of TP53 in hub protein feature mining , International Journal, Recent Research in Science and Technology, ISSN: 2076-5061.
  6. Dr.T. Mahalekshmi and Mr.Sajeev J., Characterization of Hub Proteins using Artificial Neural Networks, International conference ICRIT, Rajeev Gandhi Institute of Technology, Kottayam, Kerala.
  7. Mr.Sajeev J.,  and Dr.T. Mahalekshmi, Hub Feature Extraction of Tumor Proteins using Similarity Measurements, International Journal of Advanced Research in Computer Science and Software Engineering,ISSN : 2277- 128X, Volume 5, Issue 8, August 2015 .
  8. Mr.Sajeev J.,  and Dr.T. Mahalekshmi, Prediction of Hubness of Human Proteins Using Wavelets and Tumor Proteins in p53 Pathway as a Step Towards Cancer Research, International Journal of Innovative Research in Computer and Communication Engineering, ISSN : 2320- 9801, Volume 4, Issue 7, July 2016 .