The Truth and Nothing else matters...

I am a Junior Research Fellow at the Centre for Development of Advanced Computing(C-DAC), Pune.Prior to joining C-DAC, I obtained my Master of Technology(MTech) in Computer Science from the Defence Institute of Advanced Technology, Pune.Previously , I worked with Wipro Technologies,Bangalore as a Project Engineer in the Computing,Storage and Software  Products(CSSP) Group.I also completed my Bachelor of Engineering in Computer Science from Acharya Institute of Technology,Bangalore (VTU) in 2006.

Career Interests:

Data and Decision Sciences (Analytics), Evolutionary and Swarm Intelligence Algorithms, Reinforcement Learning, Machine Learning, Predictive Statistical Models, Data Mining, Knowledge and Data Integration, Bioinformatics, Complex Networks

 Education:

• (Aug-2009 – May-2011) MTech Computer Science, Defence Institute of Advanced Technology (Deemed University), Pune , India (An Autonomous Organization under the Ministry of Defence , Funded by the Department of Defence Research & Development, Govt. of India)

• (Aug 2002 – Jun-2006) B.E. Computer Science, Acharya Institute of Technology (Visveswaraiah Technological University), Bangalore, India

 Technical Skills:

• Supervised Learning (Classification and Regression), Ensemble Learning, Swarm Intelligence, Feature Selection/Extraction, Rule Mining and Decision Trees

• Programming: C, C++, Java, Matlab, Octave, R, Perl, Shell

• Databases: MySQL

• Operating Systems: Windows, LINUX

• Software Toolboxes: Weka, AntMiner (Java, Machine Learning), Bioinformatics (matlab/octave, Machine Learning, Numerical Methods), LIB-SVM (C/C++, Machine Learning), Random forest, PLS, e1071(R, machine Learning)

Professional & Research Experience:

(August 2011-Present) Machine Learning Research Engineer(JRF) , Evolutionary Computing and Image Processing Group, Center for Development of Advanced  Computing, Pune

• Development of the AntMiner Classifier for General Purpose Rule Mining

• Development of Hybrid Ant Colony Optimization(ACO) based wrapper( SVM, Random Forests, AntMiner) algorithms for feature selection and classification of large scale microarray datasets

• Development of hybrid Biogeography based Optimization(BBO) based wrapper(SVM, Random Forests, AntMiner) algorithms for feature selection, classification of large scale microarray datasets, numerical optimization

• Development of discrete Firefly (DFA) based wrapper(SVM, Random Forests, AntMiner) algorithms for feature selection and classification of microarray datasets

• Development of Intelligent Water Drop DFA) based wrapper(SVM, Random Forests, AntMiner) algorithms for feature selection and classification of microarray datasets

• Development of hybrid ACO and BBO based regression algorithms for QSAR (Quantitative Structure Activity Relationship) datasets

• Involved in the design and development of a brand new Biogeography based Rule Mining technique.

• Have led teams of project students, from BE/MSc Computer Science and Bioinformatics, towards Machine Learning software development projects in bioinformatics. My role has been to guide the students on feature selection and machine learning research by discussing papers, allocating research tasks, monitoring status, and solving problems with them in parallel. Assisted in lectures and laboratory assignments at 1) Dept. of Computer Science, 2) Center for Modeling and Simulation (CMS), 3) Bioinformatics Center, University of Pune. Have also applied the above algorithms with good performances on competition datasets. 

• Preparation and review of conference and journal papers

(August 2006-June 2008) Project Engineer(Software Products Group) , Wipro Technologies Bangalore

• Product testing/Verification and Validation of build acceptance and regression test scripts for TrendMicro Internet Security product suite.

• Development and Automation of data driven test frameworks.

• Analysis and mining of log files to determine root causes of test failures.

• Bug Fixing and attended code reviews.

• On site assignment at NetApp, Bangalore as part of a Wipro Consulting team.

Research Publications/Presentations

• Ramya Kumari Srinivasulu, Shameek Ghosh, Jayaraman Valadi, (2012), Hybrid Ant Colony Optimization Based Simultaneous Feature Extraction and Protein Function Prediction Using Support Vector Machines and Random Forests, International Journal of Swarm Intelligence (Communicated).

• Shameek Ghosh, Jayaraman Valadi, (2012), Applications of Ant Colony Optimization for Gene Subset Selection in Microarray Gene Expression Datasets, International Journal of Swarm Intelligence, Inderscience Publishers (Communicated).

• Atulji Srivastava, Shameek Ghosh, N. Anantharaman ,(2012), V. K. Jayaraman, Hybrid Biogeography based Simultaneous Feature Selection and MHC Class I Peptide Binding Prediction using Support Vector Machines and Random Forests , Journal of Immunological Methods ( Communicated to InCoB2012 - 11th International Conference on Bioinformatics )

• Shimantika Sharma, Shameek Ghosh, Narayanan Anantharaman and Valadi K. Jayaraman, Simultaneous Informative Gene Extraction and Cancer Classification Using ACO-AntMiner and ACO-Random Forests, Advances in Intelligent and Soft Computing, 2012, Volume 132/2012, 755-761, DOI: 10.1007/978-3-642-27443-5_86

• S. Nikumbh, S. Ghosh, V. K. Jayaraman, Biogeography-Based Informative Gene Selection and Cancer Classification Using SVM and Random Forests, Paper presented at the IEEE World Congress of Evolutionary Computation, Brisbane, Australia. 10th June, (WCCI-2012), In IEEE proceedings.

• Shameek Ghosh, Nayana Ramachandran, C. Venkateshwari, V.K. Jayaraman, Hybrid Biogeography based Simultaneous Feature Selection and Prediction of N-myristoylation substrate proteins using Support Vector Machines and Random Forest Classifiers - 3rd Swarm, Evolutionary and Memetic Computing Conference 2012(SEMCCO-2012 - Communicated)

• Atulji Srivastava, Saurabh Chakrabarti, Subrata Das,Shameek Ghosh, V K Jayaraman, Hybrid Firefly based Simultaneous Gene Selection and Cancer Classification using Support Vector Machines and Random Forests - Seventh International Conference on Bio-Inspired Computing: Theories and Application, 2012 (Communicated BIC-TA 2012)

 Trainings and Achievements

• DIAT-DRDO (Ministry of Defense) Scholarship 2009-2011

• Qualified and obtained 93 percentile in Graduate Aptitude Test in Engineering (GATE) – 2009 for Computer Science and Engineering.

• Wipro Fundamental Readiness Program – 1 month training on Basic Computer Concepts and C/C++ Programming assessed based on a final FRP examination.

• Wipro Project Readiness Program – 2 months training on testing concepts and methodologies, Perl and QTP followed by a PRP assessment.

• Interops Assessment examination – The examination was focused on assessing familiarity with Wipro Quality metrics and processes followed across various testing projects.

• Received “Feather-In-the-Cap” award towards work done for TIS16 Product testing group from Wipro, TrendMicro Account, Computing, Storage and Software Products Group.