Work Experience: Project Manager, Integrated Data Systems Dept., Siemens Corporate Research, 2009 Research Scientist, Integrated Data Systems Dept., Siemens Corporate Research, 2005-2008 Education: PhD. Computer Science , State University of New York, Stony Brook , 2005 BTech. Computer Science, Indian Institute of Technology (Kharagpur) , 1999

Research

• Data Mining
• Knowledge-based Reasoning
• Applications of Machine Learning

I am interested in the synergy between statistical data analysis and knowledge based reasoning and, particularly, in investigating the use of light-weight semantics in combination with machine learning techniques for scalable and automated applications in information retrieval, text and image understanding, and data mining.

Technology areas working on at Siemens

• Text Mining: Analyzing diverse unstructured text sources such as free text service reports, scanned-in legacy documents, call center work order descriptions, news articles, and blogs. Technologies developed include statistical NLP-based term extraction, ontology mining, unsupervised clustering, SVM and logistic regression supervised classifiers, topic models, automatic text summarization, semantic search, tracking and monitoring, and information extraction from OCR processing. These technologies are being applied to various applications deployed for Siemens Energy, Healthcare, Industry, and Corporate Communications.
  
  
• Data Quality: Developed systems on data cleansing for Siemens Energy and spend management for Corporate Supply Chain and Procurement. Technologies developed include large-scale statistical supervised classification, rule engines, and learning-based data reconciliation.
  
  
• Association Rule Mining: Developed a system for mining patterns, which correlate events to errors, by analyzing event and error sequences in log files of Siemens Healthcare instruments. Technologies developed include information theory based association rule mining on large scale event sequence data, and monitoring patterns and key performance indicators for a fleet of instruments.
  
  
• Medical Informatics: Working on Theseus-Medico next generation clinical image search project, particularly applying knowledge representation and reasoning technologies, including RDF/RDFS, OWL, and various clinical ontologies, to semantic image annotation and retrieval.
  
  
• Forecasting: Parts forecasting system for Siemens Energy using a bottom-up technology of risk analysis on data integrated from diverse sources containing sales, operational, and engineering information.

Selected Publications:

• Classifying Spend Transactions with Off-the-Shelf Learning Components - Saikat Mukherjee, Dmitriy Fradkin, Michael Roth in IEEE International Conference on Tools in Artifical Intelligence (ICTAI)' 2008 [pdf]
  
  
• Context-driven Ontological Annotations in DICOM Images: Towards Semantic PACS - Manuel Moeller and Saikat Mukherjee in International Conference on Health Informatics (HEALTHINF) 2009
  
  
• Medical Image Understanding through the Integration of Cross-Modal Object Recognition with Formal Domain Knowledge - Manuel Moeller, Michael Sintek, Paul Buitelaar, Saikat Mukherjee, Xiang Sean Zhou, Joerg Freund in International Conference on Health Informatics (HEALTHINF) 2008 [pdf]
  
  

Phd dissertation
In my PhD dissertation, Automated Semantic Analysis of Schematic Data , I worked on the semantic understanding of template-generated semi-structured and unstructured data sources. By coupling machine learning and domain knowledge I developed highly automated and scalable solutions to this problem. These ideas were applied to relevant problems in assistive browsing, mobile devices browsing, Web transactions, and information extraction.

Selected Publications:

• Automated Semantic Analysis of Schematic Data - Saikat Mukherjee, I.V. Ramakrishnan in World Wide Web Journal (Springer), 11(4), 2008 [pdf]
  
  
• Bootstrapping Semantic Annotation for Content-Rich HTML Documents - Saikat Mukherjee, I.V. Ramakrishnan, Amarjeet Singh in International Conference on Data Engineering (ICDE)' 2005 [pdf]
  
  
• Automatic Annotation of Content-Rich Web Documents: Structural and Semantic Analysis - Saikat Mukherjee, Guizhen Yang, I.V. Ramakrishnan in International Semantic Web Conference (ISWC)' 2003 [pdf]
  
  

Complete list of publications. [DBLP entry]

Professional Activities:

• Program Committee Member
  • European Semantic Web Conference (ESWC) 2009, 2008, 2007
  • IEEE Intl. Conf. on Data Mining (ICDM) 2006
  • Intl. Conf. on Ontologies, Databases, and Applications of Semantics (ODBASE) 2005

Work Experience

• Siemens Corporate Research , 2005 - present
• IBM T.J. Watson Research Lab , summer' 2002
• XSB Inc. , fall' 2000 - fall' 2001
• Telcordia Technologies (formerly Bellcore) , summer' 2000
• Stony Brook University, Computer Science Dept. , 1999 - 2005

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Contact Information:

755 College Road East, Princeton, NJ, 08540
(609) 734 3371