Research Experience includes Synthetic Organic Chemistry: Multi-step organic synthesis, Carboannulation, Spiro cyclization, chemoinformatics, bioinformatics, artificial intelligence, robotics, Internet of chemical things.Awards:The recipient of several recognitions starting with Commendation Certificate by Defence Research and Development Organization (DRDO), New Delhi, 26 Jan 1999 and DST BOYSCAST Award (2003-04) for post-doctoral research in UNC, Chapel hill in the area of ML, QSAR for anticancer drug design. A recipient of DBT Overseas Associate Award (2007-08) to perform research in UNC-CH, USA. The winner of Innocentive global award ($) (Stanford Law School & Thomson Reuters) for the year 2017 and WAZOKU global award ($) for the year 2023 for solving problems related to multidimensional data analysis.Resume (Visit the link) : https://karthincl.neocities.org/Updated Publications & Patents: (Visit the link Below(https://scholar.google.co.in/citations?hl=en&user=W_AIbCIAAAAJ&view_op=list_works&sortby=pubdateSelected:ChemScreener: A Distributed Computing Tool for Scaffold based Virtual Screening, MegaMiner: A Tool for Lead Identification Through Text Mining Using Chemoinformatics Tools and Cloud Computing Environment, Design and Development of ChemInfoCloud: An Integrated Cloud Enabled Platform for Virtual Screening, Pharmacophore and Docking Based Virtual Screening of Validated Mycobacterium tuberculosis Targets, Role of Chemical Reactivity and Transition State Modeling for Virtual Screening, A Study of Applications of Machine Learning Based Classification Methods for Virtual Screening of Lead Molecules,Chemoinformatics Approach for Building Molecular Networks from Marine Organisms, 18(7): 673 – 684Spirochromone-chalcone conjugates as antitubercular agents: synthesis, bio evaluation and molecular modeling studies RSC Adv.,Distributed Chemical Computing Using ChemStar: Open Source Java RMI Architecture applied to Large Scale Molecular Data from PubChem. (2008) J. Chem. Inf. Model., 48 (4), 691-703.Harvesting Chemical Information from the Internet Using a Distributed Approach: ChemXtreme (2006) J. Chem. Inf. Model., 46 (2), 452 -461.General Melting Point Prediction Based on a Diverse Compound Data Set and Artificial Neural Networks. (2005) J. Chem. Inf. Model.; 45(3) pp 581-590. .Encoding and Decoding Graphical Chemical Structures as Two-Dimensional (PDF417) Barcodes M. (2005) J. Chem. Inf. Model.; 45(3) pp 572-580Practical Chemoinformatics (Springer: 2014) http://www.springer.com/chemistry/book/978-81-322-1779-4